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Article

Turkey B Cell Transcriptome Profile During Turkey Hemorrhagic Enteritis Virus (THEV) Infection Highlights Upregulated Apoptosis and Breakdown Pathways That May Mediate Immunosuppression

Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA
*
Author to whom correspondence should be addressed.
Viruses 2025, 17(3), 299; https://doi.org/10.3390/v17030299
Submission received: 16 January 2025 / Revised: 11 February 2025 / Accepted: 18 February 2025 / Published: 21 February 2025
(This article belongs to the Special Issue Advances in Endemic and Emerging Viral Diseases in Livestock)

Abstract

:
Infection with the turkey hemorrhagic enteritis virus (THEV) can cause hemorrhagic enteritis, which affects young turkeys. This disease is characterized by bloody diarrhea and immunosuppression (IMS), which is attributed to apoptosis of infected B cells. Secondary infections due to IMS exacerbate economic losses. We performed the first transcriptomic analysis of a THEV infection to elucidate the mechanisms mediating THEV-induced IMS. After infecting and sequencing mRNAs of a turkey B-cell line, trimmed reads were mapped to the host turkey genome, and gene expression was quantified with StringTie. Differential gene expression analysis was followed by functional enrichment analyses using gprofiler2 and DAVID from NCBI. RT-qPCR of select genes was performed to validate the RNA-seq data. A total of 2343 and 3295 differentially expressed genes (DEGs) were identified at 12 hpi and 24 hpi, respectively. The DEGs correlated with multiple biological processes including apoptosis, ER unfolded protein response, and cell maintenance. Multiple pro-apoptotic genes, including APAF1, BMF, BAK1, and FAS were upregulated. Genes that play a role in ER stress-induced unfolded protein response including VCP, UFD1, EDEM1, and ATF4 were also upregulated and may contribute to apoptosis. Our data suggest that several biological processes and pathways including apoptosis and ER response to stress are important aspects of the host cell response to THEV infection. It is possible that interplay between multiple processes may mediate apoptosis of infected B-cells, leading to IMS.

1. Introduction

Turkey hemorrhagic enteritis virus (THEV) belongs to the genus Siadenovirus, family Adenoviridae, and infects turkeys, chickens, and pheasants [1,2]. THEV is transmitted via the fecal–oral route and causes hemorrhagic enteritis (HE) in turkeys, a debilitating disease affecting predominantly 6–12-week-old turkey poults characterized by immunosuppression (IMS), lack of vitality, splenomegaly, intestinal lesions leading to bloody diarrhea, and up to 80% mortality [3,4,5,6]. The clinical disease usually persists in affected flocks for 7–10 days, causing death and economic losses. However, secondary bacterial infections may extend the duration of illness and increase mortality for an additional 2–3 weeks due to the immunosuppressive nature of the virus, exacerbating economic losses [5,7]. Naturally occurring low pathogenic (avirulent) strains of THEV have been isolated; these strains cause subclinical infections but retain immunosuppressive effects. Since its isolation from a pheasant spleen, the Virginia Avirulent Strain (VAS) has been effectively used as a live vaccine despite the immunosuppressive side effects. However, the vaccinated birds are rendered more susceptible to opportunistic infections and death than unvaccinated cohorts [4,5,8,9,10].
It is well established that THEV primarily infects and replicates in turkey B-cells of the bursa and spleen and, to a lesser extent, in macrophages, inducing apoptosis and necrosis [6,8]. Consequently, a significant drop in the number of B-cells (specifically, IgM+ B-cells) and macrophages ensues along with increased T-cell counts with abnormal ratios of T-cell subpopulations (CD4+ and CD8+) [6,8,11]. Cell death seen in the infected B-cells and macrophages is generally proposed as the major cause of THEV-induced IMS as both humoral and cell-mediated immunity are impaired [5,8]. Immunopathogenesis via cytokines from T-cells and macrophages has also been suggested as a mechanism of apoptosis leading to IMS. It is thought that virus replication in the spleen attracts T-cells and peripheral blood macrophages, which results in T-cell activation by cytokines from activated macrophages and vice versa. The activated T-cells undergo clonal expansion and secrete type I (IFN- α and IFN- β ) and type II (IFN- γ ) interferons as well as tumor necrosis factor (TNF), while activated macrophages secrete interleukin 6 (IL-6), TNF, and nitric oxide (NO). These cytokines may further contribute to apoptosis and necrosis in bystander splenocytes, culminating in IMS [8,11] (Figure 1). However, the precise molecular mechanisms of THEV-induced IMS or the relevant intracellular signaling pathways are poorly understood [6]. Elucidating the specific mechanisms and pathways of THEV-induced IMS is a crucial step in THEV research as it could present a means of mitigating IMS.
Bulk mRNA sequencing (RNA-seq), a next-generation sequencing approach to transcriptomic studies, is a versatile, high throughput, and cost-effective technology that allows a broad survey of the entire transcriptome of a cell population, thereby uncovering the active genes and molecular pathways and processes. This technology has been leveraged in an ever-increasing number of studies to elucidate active cellular processes under a wide range of treatment conditions, including viral infections [12,13,14,15,16]. In RNA-seq studies, differentially expressed genes (DEGs) identified by contrasting pairs of different experimental conditions are key to unlocking the interesting biology or mechanism. Identified DEGs are typically used for functional enrichment analyses in large, curated knowledgebases such as gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, which connect genes to specific biological processes, functions, and pathways, shedding light on the biological question under study [17,18].
To our knowledge, no study has used RNA-seq to elucidate the molecular mechanisms and pathways leading to THEV-induced IMS. To effectively counteract the immunosuppressive effect of the vaccine, it is essential to unravel the host cell processes/pathways influenced by the virus to bring about IMS. In this study, we present the first transcriptomic profile of THEV-infected cells using paired-end bulk RNA-seq in a turkey B-cell line (MDTC-RP19), highlighting key host genes, cellular/molecular processes, and pathways affected during a THEV time course infection. We specifically focus on cellular processes related to cell survivability that can elucidate THEV-induced IMS.

2. Materials and Methods

2.1. Cell Culture and Infection

The turkey B-cell line (MDTC-RP19, ATCC CRL-8135) was grown as a suspension culture in 1:1 complete Leibovitz’s L-15/McCoy’s 5A medium with 10% fetal bovine serum (FBS), 20% chicken serum (ChS), 5% tryptose phosphate broth (TPB), and 1% antibiotic solution (100 U/mL penicillin and 100 μg/mL streptomycin), at 41 °C in a humidified atmosphere with 5% CO2. Infected cells were maintained in 1:1 serum-reduced Leibovitz’s L15/McCoy’s 5A media (SRLM) with 2.5% FBS, 5% ChS, 1.2% TPB, and 1% antibiotic solution. A commercially available THEV vaccine was purchased from Hygieia Biological Labs (VAS strain). The stock virus was titrated using an in-house qPCR assay with titer expressed as genome copy number (GCN)/mL, similar to Mahshoub et al. [19]. Cells were THEV-infected or mock-infected in triplicates or duplicates, respectively, at a multiplicity of infection (MOI) of 100 GCN/cell, incubated at 41 °C for 1 h, and washed three times with phosphate-buffered saline (PBS) to remove unattached virus particles. At each time point (4, 12, 24, and 72 hpi), triplicate (THEV-infected), and duplicate (mock-infected) samples were harvested for total RNA extraction.

2.2. RNA Extraction and Sequencing

Total RNA was extracted from infected cells using the Thermofisher (Waltham, MA, USA) RNAqueous™-4PCR Total RNA Isolation Kit (which includes a DNase I digestion step) per manufacturer’s instructions. Agarose gel electrophoresis was performed to check RNA integrity. The RNA quantity and purity were initially assessed using Nanodrop, and RNA was used only if the A260/A280 ratio was 2.0 ± 0.05 and the A260/A230 ratio was >2 and <2.2. Extracted total RNA samples were sent to LC Sciences, Houston, TX, for poly-A-tailed mRNA sequencing. RNA integrity was checked with Agilent Technologies 2100 Bioanalyzer High Sensitivity DNA Chip, and samples with an RNA integrity number (RIN) < 7 were excluded. Poly(A) RNA-seq library was prepared following Illumina’s TruSeq stranded mRNA sample preparation protocol. Paired-end sequencing, generating 149 bp reads, was performed on the Illumina NovaSeq 6000 sequencing system. The paired-end 149 bp sequences obtained during this study and all expression data have been submitted to the Gene Expression Omnibus database, under accession no GSE286211.

2.3. Quality Control and Mapping Process

Sequencing reads were processed following a well-established protocol described by Pertea et al. [20], using Snakemake—version 7.32.4 [21], a popular workflow management system to drive the pipeline. Briefly, raw sequencing reads were trimmed with Cutadapt—version 1.10 [22], and the quality of trimmed reads was evaluated using the FastQC software, version 0.12.1 (Bioinformatics Group at the Babraham Institute, Cambridge, UK; www.bioinformatics.babraham.ac.uk, accessed 2 January 2025), achieving an overall Mean Sequence Quality (PHRED Score) of 36. Trimmed reads were mapped to the reference turkey (Meleagris gallopavo) genome file GCF_000146605.3_Turkey_5.1_genomic.fna.gz (accessed 2 January 2025) from NCBI (genome build: melGal5) (https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/000/146/605/GCF_000146605.3_Turkey_5.1/) (accessed 2 January 2025) with Hisat2—version 2.2.1 [20] using the accompanying gene transfer format (GTF) annotation file (GCF_000146605.3_Turkey_5.1_genomic.gtf.gz) (accessed 2 January 2025) to build a genomic index. Samtools—version 1.21 was used to convert the output Sequence Alignment Map (SAM) file to the Binary Alignment Map (BAM) format. The StringTie (v2.2.1) software [20], set to expression estimation mode was used to generate normalized gene expression estimates from the BAM files for genes in the reference GTF file after which the prepDE.py3 script was used to extract read count information from the StringTie gene expression files, providing an expression count matrix for downstream DEG analysis.

2.4. DEG Analysis and Functional Enrichment Analysis

DEG analysis between mock- and THEV-infected samples was performed using DESeq2 version 3.20 [23], which employs a Negative Binomial distribution model for determining statistical significance when comparing read counts from multiple replicates. Genes with (FDR)-adjusted p-value ≤ 0.05 were considered as differentially expressed. The sequencing data (FASTQ files), expression count matrix, and DEG analysis results from DESeq2 are deposited at NCBI Gene Expression Omnibus under accession number GSE286211. The functional profiling of DEGs (GO and KEGG analyses) was performed based on GO databases and KEGG databases using DAVID and the R package (version 4.4.2) gprofiler2 [24] with M. gallopavo as the reference organism. Results with Padjusted-value ≤ 0.05 were included as functionally enriched. All visualization plots were made using ggplot2, pheatmap, and ggvenn R packages [25,26,27].

2.5. Validation of DEGs by Reverse Transcriptase Quantitative PCR (RT-qPCR)

The gene expression levels of representative DEGs (APAF1, BMF, FADD, PDCD4, MADD, VCP, UFD1, EDEM1, EIF3D, EIF3M, RPL8, RPL10A) were validated by quantification of relative mRNA levels with turkey GAPDH mRNA levels as the control gene. Briefly, the cells were infected, and RNA extracted as described for the RNA sequencing samples with three biological replicates at 12 and 24 hpi each for both THEV-infected or mock-infected samples. First-strand cDNA synthesis of total RNA was performed with an oligo-dT primer to amplify poly-A-tailed mRNA using SuperScript™ IV First-Strand Synthesis System. The parent RNA was digested using RNase H after cDNA synthesis was complete to ensure that only cDNA remained as the template for the RT-qPCR quantification. The RT-qPCR was performed with the PowerUp™ SYBR™ Green master mix from Applied Biosystems (Thermo Scientific, Waltham, MA, USA) with primers designed manually in the SnapGene software. The primers were checked for specificity using NCBI Nucleotide BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastn) (accessed 1 January 2025) before use. All primers used in this study are listed in Supplementary Table S1. Relative mRNA levels were calculated by 2−ΔΔCT method [28].

2.6. Statistical Analysis

Statistical analyses of the RT-qPCR results were performed using R (Version 4.3.3) with Student’s t-test for the comparison between two groups. A p-value ≤ 0.05 was considered statistically significant.

3. Results

3.1. Sequencing Results

To identify the host transcriptomic profile during THEV infection, we infected MDTC-RP19 cells with THEV or no virus (mock) in triplicates or duplicates, respectively, and harvested total RNA at 4, 12, 24, and 72 h post-infection (hpi). In the first 12 h, there was no discernible CPE. At 24 h, the CPE was very subtle but observable, and at 72 h, almost every cell was clearly swollen with numerous cytoplasmic vacuolation and granulation. Some cells were more than double the size of the mock-infected cells.
mRNAs extracted from mock- or THEV-infected cells were sequenced on the Illumina platform, yielding a total of 776.1 million raw reads (149 bp in length) across all samples (see Table 1 for sequencing statistics). After trimming low-quality reads, the remaining 742.8 million total paired-end trimmed reads (approximately 34.7–47.9 million reads per sample) were mapped to the reference genome of M. gallopavo obtained from the National Center for Biotechnology Information (NCBI). The percentage of reads that mapped to the host genome across all samples ranged from 32.4 to 89.2%. We observed that the fraction of reads that mapped to the host genome decreased while those mapping to the virus genome increased over the course of the infection as the viral infectious cycle progressed. Despite excellent quality scores at all time points (Table 1), DEGs identified at 4 and 72 hpi did not yield any statistically significant results in the downstream functional enrichment analyses (GO term and KEGG pathway analysis) and they were excluded from all subsequent analyses. In the remaining 12 and 24 hpi samples, a high consistency was observed between biological replicates (Figure 2). One biological replicate from the 12 h time point did not pass the RNA integrity quality control and was not sequenced.

3.2. DEGs of THEV-Infected Versus Mock-Infected Cells

We quantified gene expression levels with the StringTie software [20] in Fragments per kilobase of transcript per million (FPKM) units. The differential expression analysis of DEGs was performed with the DESeq2 R package [23] which employs a negative binomial distribution model for determining statistical significance. Using a false discovery rate (FDR)-adjusted p-value cutoff ≤ 0.05 as the inclusion criteria, 2343 and 3295 genes from THEV-infected samples were identified as differentially expressed relative to their time-matched mock-infected samples at 12 hpi and 24 hpi, respectively. The results from the DEG analyses at 12 and 24 hpi have been deposited in NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) (accessed 2 January 2025) under accession number GSE286211 with files named total_12hrsDEGs.csv.gz and total_24hrsDEGs.csv.gz, respectively. We compared THEV-infected samples relative to their time-matched mock-infected samples in identifying the significant DEGs and in the functional enrichment analyses. At 12 hpi (THEV-infected versus mock-infected), we found 1079 upregulated genes and 1264 downregulated genes, whereas 1512 genes were upregulated, and 1783 genes downregulated at 24 hpi (THEV-infected versus mock-infected) (Figure 2C1,C2 and Figure 3). The log2fold-change (FC) values at 12 hpi ranged between −1.4 and +1.7 for TMEM156 (Transmembrane Protein 156) and LIPG (Lipase G), respectively. At 24 hpi, the log2FC values ranged between −2.0 and +2.6 for C1QTNF12 (C1q And TNF Related 12) and KCNG1 (Potassium Voltage-Gated Channel Modifier Subfamily G Member 1), respectively.

3.3. Functional Enrichment Analyses (GO and KEGG Pathway Analyses)

Gene ontology (GO) enrichment analysis was performed for the DEGs determined at the 12 and 24 hpi timepoints with the DAVID (Database for Annotation, Visualization and Integrated Discovery; version 2021) online resource [29] and the gprofiler2 R package—version 0.2.3 [24], which outputs results according to the three branches of the GO directed acyclic graph—cellular components (CP), biological processes (BP), and molecular functions (MF). We compared THEV-infected samples relative to their time-matched mock-infected samples for each timepoint. Results with Padjusted-value ≤ 0.05 were considered functionally enriched. The GO enrichment analyses results at 12 hpi and 24 hpi showed significant overlaps among all three GO categories. At both time points, cellular breakdown processes were upregulated while cellular maintenance processes and structures were downregulated in all three GO categories (Table 2, Table 3, Table 4 and Table 5).
For upregulated DEGs at 12 hpi, we observed that the GO terms annotated under the BP category broadly cluster into apoptosis and autophagy, cellular metabolism (catabolic processes), sterol biosynthesis, response to stimuli, and protein processing (Figure 4A and Table 2). In the CC category, the GO terms relate primarily with cytoplasmic vacuolation, while in the MF category, they broadly fit under protein binding and kinase activity (Table 2). For downregulated DEGs at 12 hpi, the GO terms in the BP category generally fell under translation, protein biosynthesis and folding, ribosome biogenesis, nitrogen compound metabolism, nucleic acid synthesis, repair, metabolism, processing, replication, and energy metabolism. Also, immunoglobulin production and isotype switching were downregulated (Figure 4C and Table 3). In the CC category, GO terms broadly grouped into ribosome, mitochondria, respirosome, nucleus, and spliceosome, while in the MF category, they generally belong to translation regulator activity, protein folding chaperone, catalytic activity (acting on nucleic acids), and ATP hydrolysis activity (Table 3).
At 24 hpi, we found that the GO terms in the BP category for upregulated DEGs were associated with apoptosis and autophagy, lipid and sterol biosynthesis, catabolic process, protein ubiquitination and proteolysis, cell signaling, and cell metabolism. Additionally, host defense response and genes that negatively regulate cytokine production were upregulated (Figure 4B and Table 4). In the CC category, the GO terms were related to cytoplasmic vacuolation and the lysosome, similar to those identified at 12 hpi. In the MF category, the GO terms are grouped into protein ubiquitination activity, kinase and acyltransferase activity, and macromolecule binding activity (Table 4). GO terms for the downregulated DEGs were markedly similar to those at 12 hpi in all three GO categories. In the BP category, the GO terms broadly group into translation, peptide biosynthesis and folding, ribosome biogenesis, aerobic respiration and ATP synthesis, cell cycle process, and nucleic acid replication and processing (Figure 4D and Table 5). The GO terms in the CC category group under ribosome, mitochondrion, nucleus and chromosomes, while the MF category, the GO terms grouped into structural components of ribosome and translation regulator activity, catalytic activity acting on a nucleic acid and nucleic acid binding, aminoacyl-tRNA ligase activity, and NAD binding (Table 5).
KEGG pathway analysis on the DEGs was also performed using both the gprofiler2 R package [24] and the DAVID online resource. Both resources gave similar results, but the results from DAVID (Table 6) included more information than the gprofiler2 results (Table S2). The results from the KEGG pathway analysis were consistent with the GO results, revealing that generally, cell maintenance and upkeep pathways were downregulated while cell death and breakdown pathways were upregulated. We observed that cell maintenance pathways such as DNA replication and repair, ribosome biogenesis, spliceosome, and oxidative phosphorylation were downregulated at both 12 and 24 hpi. Pathways such as autophagy, response to virus (Influenza A), and steroid biosynthesis were upregulated at 12 hpi, which is similar to 24 hpi, where pathways such as autophagy, ubiquitin-mediated proteolysis, lysosome, protein processing in endoplasmic reticulum, and steroid biosynthesis were upregulated.
It is well-established that THEV induces cell death (apoptosis and necrosis) in infected B-cells, which is linked to THEV-induced IMS [8,11,30]. Hence, we were particularly interested in cellular processes and pathways associated with cell death and pathways that may affect the survival of the host B-cells, thereby accounting for THEV-induced IMS. We highlight the upregulated cell death (apoptosis and autophagy), ubiquitin-dependent endoplasmic reticulum [ER]-mediated protein degradation, and suppressed cell maintenance pathways as well as cytokine deregulation identified by our GO and KEGG analyses as the likely key aspects of THEV–host cell interaction relevant to THEV-induced IMS.

3.4. Cell Death and Breakdown Pathways Upregulated by THEV

Many virus families, including adenoviruses, herpesviruses, poxviruses, baculoviruses, parvoviruses, retroviruses, rhabdoviruses, paramyxoviruses, orthomyxoviruses, togaviruses, and picornaviruses, are known to trigger apoptosis in infected host cells either through direct viral protein action or the host antiviral response [31,32,33]. Our data show that apoptotic and autophagic pathways are upregulated during THEV infection, supporting previous findings of apoptosis and necrosis of THEV-infected cells [8,11,30]. For example, several proapoptotic members of the BCL2 (B-cell lymphoma 2) protein family, such as BCL2 antagonist/killer 1 (BAK1), BCL2 interacting protein 3 like (BNIP3L), BCL2 interacting protein 3 (BNIP3), and Bcl2 modifying factor (BMF), were upregulated. Additionally, Fas cell surface death receptor (FAS), Fas-associated via death domain (FADD), MAP kinase-activating death domain (MADD), programmed cell death 4 (PDCD4), RB1 inducible coiled-coil 1 (RB1CC1), activating transcription factor 4 (ATF4), receptor-interacting serine/threonine kinase 1 (RIPK1), tumor necrosis factor receptor superfamily member 1B (TNFRSF1B), pro-apoptotic WT1 regulator (PAWR), and apoptotic peptidase activating factor 1 (APAF1), which are potent proapoptotic factors were upregulated at both time points. Interestingly, both the intrinsic (BAK1, BNIP3L, BNIP3, BMF, RB1CC1, ATF4, PDCD4, and APAF1) and extrinsic (FAS, FADD, TNFRSF1B, MADD, and RIPK1) apoptotic pathways were represented. Conversely, several anti-apoptotic proteins such as BCL2 apoptosis regulator (BCL2), BCL2 interacting protein 2 (BNIP2; interacts directly with human adenovirus E1B-19K protein), BCL2 related protein A1 (BCL2A1), and apoptosis inhibitor 5 (API5) were also upregulated. Thus, apoptosis and its regulation pathways are clearly upregulated; this highlights the host-virus tug-of-war also typical in Mastadenovirus infections. Moreover, several genes associated with autophagy, such as TNF receptor-associated factor 6 (TRAF6), autophagy-related 9A (ATG9A), unc-51 like autophagy activating kinase 2 (ULK2), and autophagy-related 4B cysteine peptidase (ATG4B), were upregulated.

3.5. Downregulation of Cell Maintenance Pathways

Previous studies of human adenoviruses have shown that forcibly transitioning the host cell cycle to the S phase during the early phase of infection is a prerequisite for a productive adenovirus infection [34]. For human adenoviruses, interaction of the viral E1A early proteins with the host pRb (retinoblastoma) protein releases the host transcription factor E2F, which activates genes required for S phase cell cycle induction. Viral E1A also binds the host transcriptional co-activator p300/CBP [34,35]. Our GO and KEGG pathway results showed that at 12 hpi, several key genes involved with cell cycle transition were upregulated. Notably, E1A binding protein p300 (EP300), cyclin genes (CCND3, CCNG1, CCNG2, CDK6), anaphase-promoting complex subunit 1 (ANAPC1), and cell division cycle 27 (CDC27) were upregulated. However, unlike the observation in Mastadenoviruses, the cell cycle regulation at 12 and 24 hpi seem complicated as some key cell cycle-related genes and general cell maintenance processes were concurrently downregulated.
We found that several essential cell maintenance processes whose suppression can trigger apoptosis were downregulated. Severe DNA damage is a known mechanism of apoptosis induction, called DNA damage-dependent apoptosis [36]. Repression of host RNA and protein synthesis is also strongly associated with apoptosis [37]. Several processes related to DNA and RNA synthesis, maintenance, and repair, such as nucleotide biosynthesis and metabolism, double-strand break repair, DNA excision repair, RNA biosynthesis, RNA processing, DNA replication, mitotic cell cycle process, protein–RNA complex organization, and DNA damage response, were downregulated at both time points. Notable genes identified include DNA ligase 1 (LIG1), X-ray repair cross-complementing 1 (XRCC1), cyclin-dependent kinase 1 and 2 (CDK1, CDK2), checkpoint kinase 1 (CHEK1), 8-oxoguanine DNA glycosylase (OGG1), BLM RecQ-like-helicase (BLM), BRCA1 DNA repair associated (BRCA1), and several RAD family proteins (RAD21, RAD51, RAD51B, RAD51C, RAD54B).
Protein synthesis-related processes, including ribosome biogenesis, rRNA processing, ribosome assembly, protein folding, translational initiation, protein maturation, ribosome and ribonucleoprotein complex formation, translation pre-initiation complex formation, and cytoplasmic translation, were significantly downregulated at both 12 and 24 hpi. Notable genes identified include eukaryotic translation initiation factors (EIF1, EIF1AX, EIF3E and EIF3F, EIF3H, EIF3I, EIF3L and EIF3M), biogenesis of ribosomes BRX1 (BRIX1), MCTS1 re-initiation and release factor (MCTS1), and ribosomal protein subunits (RPL8, RPL10a, RPL11, RP12, RP13, RP14, RP15, RP18a, RP19).

3.6. Endoplasmic Reticulum (ER) Stress Response During THEV Infection

Our KEGG pathway analysis (Table 4) showed that protein processing in the ER and ubiquitin-mediated proteolysis are significantly upregulated (Figure 5). The GO results (Table 4) showed that specifically, ER stress and the ER-associated protein degradation (ERAD) pathway, a branch of the unfolded protein response (UPR), were upregulated during THEV infection, especially at 24 hpi. The ER is the major site for protein synthesis, folding and quality control, and sorting [38]. Upon ER stress or continued accumulation of unfolded proteins in the ER lumen, the UPR pathways are activated to restore ER homeostasis. The ERAD pathway, a ubiquitin-proteasome-dependent pathway, is a protein quality control system activated for the degradation of misfolded and unassembled proteins [38]. In our results, the THEV-infected samples showed significant increase in ERAD pathway effector proteins, such as valosin containing protein (VCP), ubiquitin recognition factor in ER associated degradation 1 (UFD1), ER degradation enhancing alpha-mannosidase like proteins 1 and 3 (EDEM1, EDEM3), cullin 1 (CUL1), and ubiquitin 1 (UBQLN1). Other genes related to other UPR pathways, such as HSPA5 and ATF4, were also upregulated. Our KEGG pathway (Table S2) and GO (Figure 4B) results indicated a significant upregulation of ubiquitin-mediated proteolysis with other ubiquitination pathway proteins such as ubiquitin-conjugating enzymes (UBE2J2, UBE2E3, UBE2Z), ubiquitin-protein ligases (UBE3A, UBE3B), NPL4 homolog ubiquitin recognition factor (NPLOC4), and ubiquitin-like modifier activating enzyme 6 (UBA6) showing significant upregulation. Additionally, the heat shock family of chaperone proteins such as the DnaJ heat shock protein family (HSP40) members (DNAJB11, DNAJB12, DNAJB2, DNAJC10), heat shock protein family A (HSP70) members (HSPA4L, HSPA5, HSPA8), and heat shock protein 90 alpha family class A member 1 (HSP90AA1) were upregulated at 24 hpi. Moreover, the KEGG pathway analysis (Table 4) shows a significant upregulation in lysosome formation, lumen acidification, and lysosomal degradation, likely an indication of ER-to-lysosome-associated degradation. Taken together, these results suggest that THEV infection triggers significant ER-associated protein degradation, which may contribute to cell death and IMS.

3.7. Differential Expression of Cytokine and Cytokine Receptor-Encoding Genes

Our KEGG pathway results showed that a pathway similar to immune response to influenza A infection was upregulated at 12 hpi. Our GO analysis also identified terms such as regulation of lymphocyte activation and regulation of cytokine production as upregulated at both 12 and 24 hpi. Genes involved include IL18, IL2RB, IL4R, IL5RA, TNF receptor-associated factors (TRAF2, TRAF3, TRAF6, TRAF7, TRAFD1), TNF receptor superfamily members (TNFRSF1B, TNFRSF8, TNFSF4), interferon-induced with helicase C domain 1 (IFIH1), interferon-induced double-stranded RNA-activated protein kinase (PKR), and CD80. In contrast, cytokine inhibitors such as suppressors of cytokine signaling (SOCS3 and SOCS5) were also upregulated at both 12 and 24 hpi and immunoglobulin production and isotype switching GO terms were downregulated at 12 hpi. This inconsistency is likely an indicator of the struggle between the virus and its host. While several cytokines were regulated by THEV, as in the proposed model of THEV immunopathogenesis (Figure 1), the cytokines in the model (IFN- α , IFN- β , IFN- γ TNF, and IL-6) were not significantly differentially expressed in our data. However, some of the differentially expressed cytokines and cytokine receptors (TNFRSF8, TRAF7) identified in this study are positive regulators of apoptosis; therefore, they may play a role in THEV-induced IMS.

3.8. Validation of DEGs by Reverse Transcriptase Quantitative PCR (RT-qPCR)

To validate the RNA-seq results, 12 DEGs (eight upregulated and four downregulated) were selected for RT-qPCR. The DEGs were representative of apoptosis (APAF1, BMF, FADD, MADD, and PDCD4), ERAD and ubiquitination (VCP, UFD1, EDEM1), and ribosome biosynthetic (EIF3D, EIF3M, RPL8, RPL10A) pathways. As shown in Figure 6, the RT-qPCR results corroborate the RNA-seq results, further reinforcing the validity of the RNA-seq transcriptomic profile results. Although there was no inconsistency between the RNA-seq and RT-qPCR results in terms of gene regulations, the fold changes in the RT-qPCR results were consistently higher than observed in the RNA-seq results. Our RT-qPCR primers showed excellent target specificity; only one amplicon of the expected size was amplified, as shown by the melt curves and gel electrophoresis (Figure S1). According to our Student’s t-tests, the difference in gene expression levels in all the selected genes were statistically significant.

4. Discussion

THEV has a worldwide distribution, wreaking economic havoc on affected poultry farms, particularly due to its immunosuppressive trait, allowing secondary opportunistic infections to devastate turkey populations [4,6]. HE in turkeys causes more economic losses than any disease caused in other birds like chickens or pheasants [4]. While the current vaccine strain (VAS) has proven effective at preventing clinical HE in turkey poults, the retention of its immunosuppressive properties leaves some of the issues associated with economic losses unresolved. Elucidating the virus–host interactions leading to IMS is most pressing for not only the understanding of the viral infection and pathogenesis but also future antiviral therapy targets. Since both virulent and avirulent THEV cause IMS, but the avirulent are used as vaccine, we believe that studying VAS would be more expedient for understanding THEV vaccine-induced IMS.
Only one cell line (MDTC-RP19, also known as RP19) has been found to be capable of supporting THEV replication [39]. Thus, in this work, we establish the first transcriptomic profile of THEV infection in RP19 cells using paired-end RNA-seq. We attempted a multi-time point experimental design, but this being the first transcriptomic study of THEV infection, we faced some difficulties, including selecting our sampling time points based on the only study of THEV gene expression kinetics [40], leading to only 12 and 24 hpi providing useful data. In total, 2343 and 3295 DEGs were identified at 12 hpi and 24 hpi, respectively. At 12 hpi, 1079 genes were upregulated, and 1264 genes downregulated, whereas 1512 genes were upregulated, and 1783 genes were downregulated at 24 hpi. Being a non-model organism, a significant proportion of the host (M. gallopavo) genes are not annotated and not recognized by the databases used for functional enrichment analysis. Thus, the obtained results are likely sub-optimal in amount of detail relative to results from well-annotated and curated genomes of model organisms. The DEGs were related to multiple biological processes, all potentially playing a role in THEV infection, but the most relevant to our study are apoptosis (upregulated), ER stress-induced unfolded protein response (upregulated), cell maintenance processes (downregulated), and cytokine functions (deregulated). Furthermore, the RT-qPCR results validated the RNA-seq results. Collectively, this study may shed light on some significant aspects of THEV–host interactions, which may benefit further mechanistic delineation of the viral infection and induction of IMS and inform future development of anti-THEV strategies. The biological processes most relevant to THEV-induced IMS highlighted by this study are further discussed below.
Apoptosis is a key defense mechanism activated by cells in response to irreversible injury and virus infection to abrogate virus propagation. It is a formidable cellular defense network, non-specific to any virus family and, therefore an important problem for any infecting virus to overcome [31,32,33]. The human adenovirus E1A proteins are strong inducers of apoptosis. They bind host pRb and p300/CBP protein, inducing p53-mediated apoptosis, and can also sensitize infected cells to TNF α and TRAIL-induced apoptosis [34,35]. However, human adenoviruses have developed multiple distinct anti-apoptotic mechanisms to counter almost all cellular pro-apoptotic programs. For example, E1A blocks its own induction of p53-dependent apoptosis, and E1B proteins (E1B-19K and E1B-55K) counteract several types of apoptosis, including TNF-induced apoptosis [34,35]. Despite the rich arsenal of countermeasures, transcriptomic studies of human adenovirus infections suggest a complex set of virus–host interactions where both pro- and anti-apoptotic genes are turned on contemporaneously. For example, in human adenovirus 2 infection, both pro- and anti-apoptotic BCL2 family genes were stimulated [34]. Siadenoviruses, including THEV, are the smallest adenoviruses and therefore encode the fewest genes [10,41]. THEV encodes a mere 34 ORFs with no anti-apoptotic genes characterized [41]. In agreement with these findings, in our results, a strong signal indicative of apoptotic induction was observed. However, like Mastadenovirus infections, a complex relationship between pro and anti-apoptotic genes was observed. Pro-apoptotic genes such as APAF1, BNIP3L, BMF, BAK1, RIPK1, FAS, FADD, and ATF were upregulated in concert with the anti-apoptotic genes BCL2, BNIP2, BCL2A1, and API5. We speculate that this complex regulation is predictive of THEV possessing some anti-apoptotic genes but not sufficiently potent to thwart the cellular apoptotic response. It is also possible that using a naturally attenuated strain may account for the apparent balance in pro- and anti-apoptotic signals. Interestingly, pro-apoptotic genes in both intrinsic and extrinsic pathways were upregulated, possibly due to a concurrent stimulation of multiple apoptotic pathways or a positive feedback mechanism of one system activating the other. The specific mechanism of apoptosis induction remains elusive. Further studies designed to elucidate these fine details are warranted and would benefit future THEV therapeutics.
The ER serves many specialized functions, including biosynthesis and assembly of membrane and secretory proteins, calcium storage, and biosynthesis of lipids and sterols. It is also the site of protein folding and post-translational modifications and maintains stringent quality control systems, ensuring exported proteins are correctly folded and the degradation of unfolded or misfolded proteins [16,38,42]. Disruption of ER homeostasis or ER stress leads to the accumulation of incorrect proteins in the ER lumen, triggering the UPR. The UPR restores ER normality by transiently attenuating general protein synthesis, increasing the lumenal folding capacity, and the degradation of misfolded proteins through the ERAD pathway or autophagy [16,38,42,43]. However, if incorrect lumenal protein overload persists, the prolonged UPR will induce apoptosis known as ER stress-associated programmed cell death [42,43]. Many DNA and RNA viruses are reported to induce ER stress and UPR pathways during infection [16]. In our results, ATF4 and PKR-like ER protein kinase (PERK), key proteins in the PERK branch of the UPR pathway, were upregulated. A myriad of ERAD pathway proteins (e.g., VCP, UFD1, EDEM1, EDEM3, CUL1, UBQLN1), ubiquitination system proteins (e.g., UBE2J2, UBE2E3, UBE2Z, UBE3A, UBE3B), and heat shock family of chaperone proteins (e.g., HSPA5, HSP4L, HSPA8, HSP90AA1) all showed increased expression according to our RNA-seq data with some validated with RT-qPCR. These data strongly suggest that THEV infection triggers the ER UPR pathways, leading to a massive decrease in protein synthesis and deregulation of sterol biosynthesis and ubiquitin-mediated proteolysis, all supported by our results. As noted above, a prolonged UPR activation leads to ER stress-associated programmed cell death via genes such as ATF4 [42,43]. Thus, we suggest that the ER stress response likely plays a crucial role in THEV-induced IMS. Nonetheless, the mechanisms underlying the regulation of the UPR pathways by THEV remain to be clearly unraveled. Also, whether and how the ER stress response affects THEV infection and pathogenicity should be studied. Unsurprisingly, protein degradation was more evident at 24 hpi than at 12 hpi, reflecting the suggested two phases of UPR—Phase 1 allows the unfolded proteins time to refold without degradation, and Phase 2 degrades any proteins that have failed to fold [43].
In the proposed model of THEV immunopathogenesis by Rautenschlein et al. (Figure 1), while THEV directly induced cell death in infected cells, cytokines are responsible for extending cell death to bystander splenocytes [8]. However, the primary cytokines (IFN- α , IFN- β , IFN- γ TNF, IL-6, and NO) highlighted in the model were not significantly differentially expressed in our data. This may be explained by the fact that the model was proposed based on data from splenocytes of THEV-infected turkeys, which have the full complement of immune cells (T-cells, B-cells, macrophages) shown in the model and not solely from B-cell culture data as in this study. From the model, T-cells and macrophages are the principal producers of the effector cytokines; thus, there is agreement with our data that B-cells alone would poorly recapitulate the cytokine communication network. This may also explain the very few immune-associated biological processes in our data, as the B-cells may require cytokines from other immune cells such as macrophages and T-cells for optimal activation. Further transcriptomic studies with splenocytes would offer a wealth of insights regarding these ideas. It is also likely that cytokines may only play a dominant role in some aspects of THEV-infection, such as the clinical hemorrhage of the intestines but not the associated IMS since a study using the TNF-blocking drug (thalidomide) only prevented intestinal disease, not IMS [8]. While some of the upregulated cytokines and receptors in our results are positive apoptosis regulators (TNFRSF8, TRAF7), most of the cytokines are either anti-apoptotic (TNFRSF1B, TRAF2), boost host antiviral defense (IL18, TNFSF4, PKR, TRAFD1, IFIH1), or suppress cytokine signaling (SOCS3, SOCS5). Therefore, we speculate that a non-cytokine-mediated apoptotic process such as ER stress-associated programmed cell death is more likely to mediate the direct killing of infected cells. However, whether bystander cell death occurs and if it is cytokine-mediated, as suggested by Rautenschlein et al., are important questions that can be addressed with future transcriptomic studies in splenocytes.
By convention, the Mastadenovirus replication cycle is divided into two phases, an early and a late phase, separated by the onset of viral DNA replication [34,35]. Based on DNA microarray analysis, adenovirus type 2 (Ad2) infection has been divided into four stages. The first period is from 0 to 12 hpi, during which changes in cellular gene expression are likely to be triggered by the viral entry process. Most of the deregulated genes have functions linked to the inhibition of cell growth. Therefore, growth suppression is most likely the first response of the host cell to the incoming virus [34]. The second period covers the time from 12 to 24 hpi and follows activation of the immediate early E1A gene, which forcibly transitions the cell cycle to the S phase [34]. While the temporal changes in host gene expression for a THEV infection have not been characterized in prior studies, our data suggest that during the first 24 hpi, cell growth was suppressed. Cell maintenance processes involving nucleic acid and proteins were downregulated, according to our data. Protein synthesis-related processes, including ribosome biogenesis, rRNA processing, ribosome assembly, protein folding, translational initiation, protein maturation, and others, were heavily affected. Additionally, DNA and RNA synthesis, maintenance, and repair, such as nucleotide biosynthesis and metabolism, double-strand break repair, and DNA excision repair, were also repressed. As severe DNA damage leads to DNA damage-dependent apoptosis [36] and repression of RNA and protein synthesis is also strongly associated with apoptosis [37], these inhibitions may also play a role in THEV-induced IMS. Moreover, we speculate that the ER UPR may contribute partly to the severe repression of protein synthesis, as discussed above. An in-depth study of temporal changes in host gene expression during THEV infection would be invaluable in establishing if THEV follows the same pattern as Ad2.

5. Conclusions

THEV-induced IMS is a pressing concern for turkey farmers worldwide, causing substantial economic losses annually. In this study, we establish the cellular transcriptomic profile of THEV infection in turkey RP19 B-cells using paired-end RNA-seq, identifying 1079 upregulated genes and 1264 downregulated genes at 12 hpi, and 1512 upregulated genes and 1783 downregulated genes at 24 hpi. Our data suggest that several biological processes and pathways, including apoptosis, immune response, ER response to stress, ubiquitin-dependent proteolysis, and repression of essential cellular maintenance, are significant aspects of host cell response to THEV infection. All these processes are established apoptosis-inducing mechanisms; therefore, we believe that either one or synergistic interplay between multiple ones may mediate cell death of infected B-cells, leading to IMS. These findings provide the first insights into THEV–host interactions and may help advance the understanding of non-human adenoviral infection and pathogenesis, which may eventually inform the development of medical countermeasures for disease prevention and treatment.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/v17030299/s1, Figure S1:Gel Electrophoresis of RT-qPCR validation reactions; Table S1: primers for RT-aPCR validation of RNA-seq Data; Table S2: Significantly enriched KEGG pathways from DEGs identified at 12 and 24 hpi.

Author Contributions

Conceptualization, A.Q., B.D.P., B.E.P., B.K.B. and J.S.G.; methodology, A.Q.; software, A.Q.; validation, A.Q.; formal analysis, A.Q. and B.E.P.; investigation, A.Q.; resources, B.D.P.; data curation, A.Q.; writing—original draft preparation, A.Q.; writing—review and editing, A.Q., B.D.P., B.E.P., B.K.B. and J.S.G.; visualization, A.Q.; supervision, B.D.P.; project administration, B.D.P.; funding acquisition, B.D.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw sequencing read data (FastQ), gene expression counts, and total DEGs identified at 12 and 24 hpi have been deposited at the NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) (accessed 2 January 2025) under accession number GSE286211. All the code/scripts in the entire analysis pipeline are available on GitHub (https://github.com/Abraham-Quaye/host_rna_seq) (accessed 2 January 2025).

Acknowledgments

We thank the Office of Research Computing at Brigham Young University for granting us access to the high-performance computing systems to perform the memory-intensive steps in the analysis pipeline of this work.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following are abbreviations used in this manuscript:
DAVIDDatabase for Annotation, Visualization and Integrated Discovery
DEGDifferentially Expressed Gene
EREndoplasmic Reticulum
ERADEndoplasmic Reticulum-associated Degradation
FPKMFragments Per Kilobase of transcript per Million mapped reads
GCNGenome Copy Number
GOGene Ontology
HEHemorrhagic Enteritis
IMSImmunosuppression
KEGGKyoto Encyclopedia of Genes and Genomes
ORFOpen Reading Frame
RNA-seqRNA sequencing
RT-qPCRReverse Transcriptase Quantitative Polymerase Chain Reaction
THEVTurkey Hemorrhagic Enteritis Virus
UPRUnfolded Protein Response
VASVirginia Avirulent Strain
hpiHours Post-infection

References

  1. Harrach, B. Adenoviruses: General features. In Encyclopedia of Virology, 3rd ed.; Mahy, B.W.J., Van Regenmortel, M.H.V., Eds.; Academic Press: Oxford, UK, 2008; pp. 1–9. [Google Scholar]
  2. Davison, A.; Benko, M.; Harrach, B. Genetic content and evolution of adenoviruses. J. Gen. Virol. 2003, 84, 2895–2908. [Google Scholar] [CrossRef] [PubMed]
  3. Gross, W.B.; Moore, W.E. Hemorrhagic enteritis of turkeys. Avian Dis. 1967, 11, 296–307. [Google Scholar] [CrossRef] [PubMed]
  4. Beach, N.M. Characterization of Avirulent Turkey Hemorrhagic Enteritis Virus: A Study of the Molecular Basis for Variation in Virulence and the Occurrence of Persistent Infection. Ph.D. Thesis, Virginia Polytechnic Institute, Blacksburg, VA, USA, 2006. [Google Scholar]
  5. Dhama, K.; Gowthaman, V.; Karthik, K.; Tiwari, R.; Sachan, S.; Kumar, M.A.; Palanivelu, M.; Malik, Y.S.; Singh, R.K.; Munir, M. Haemorrhagic enteritis of turkeys—Current knowledge. Vet. Q. 2017, 37, 31–42. [Google Scholar] [CrossRef] [PubMed]
  6. Tykałowski, B.; Śmiałek, M.; Koncicki, A.; Ognik, K.; Zduńczyk, Z.; Jankowski, J. The immune response of young turkeys to haemorrhagic enteritis virus infection at different levels and sources of methionine in the diet. BMC Vet. Res. 2019, 15, 387. [Google Scholar] [CrossRef] [PubMed]
  7. Pierson, F.; Fitzgerald, S. Hemorrhagic enteritis and related infections. Dis. Poult. 2008, 12, 276–286. [Google Scholar]
  8. Rautenschlein, S.; Sharma, J.M. Immunopathogenesis of haemorrhagic enteritis virus (HEV) in turkeys. Dev. Comp. Immunol. 2000, 24, 237–246. [Google Scholar] [CrossRef] [PubMed]
  9. Larsen, C.T.; Domermuth, C.H.; Sponenberg, D.P.; Gross, W.B. Colibacillosis of turkeys exacerbated by hemorrhagic enteritis virus. Laboratory studies. Avian Dis. 1985, 29, 729–732. [Google Scholar] [CrossRef]
  10. Beach, N.M.; Duncan, R.B.; Larsen, C.T.; Meng, X.J.; Sriranganathan, N.; Pierson, F.W. Persistent infection of turkeys with an avirulent strain of turkey hemorrhagic enteritis virus. Avian Dis. 2009, 53, 370–375. [Google Scholar] [CrossRef]
  11. Rautenschlein, S.; Suresh, M.; Sharma, J.M. Pathogenic avian adenovirus type II induces apoptosis in turkey spleen cells. Arch. Virol. 2000, 145, 1671–1683. [Google Scholar] [CrossRef]
  12. Pandey, D.; Onkara Perumal, P. A scoping review on deep learning for next-generation RNA-seq. Data analysis. Funct. Integr. Genom. 2023, 23, 134. [Google Scholar] [CrossRef] [PubMed]
  13. Wang, B.; Kumar, V.; Olson, A.; Ware, D. Reviving the transcriptome studies: An insight into the emergence of single-molecule transcriptome sequencing. Front. Genet. 2019, 10, 384. [Google Scholar] [CrossRef] [PubMed]
  14. Choi, S.C. On the study of microbial transcriptomes using second- and third-generation sequencing technologies. J. Microbiol. 2016, 54, 527–536. [Google Scholar] [CrossRef]
  15. Satam, H.; Joshi, K.; Mangrolia, U.; Waghoo, S.; Zaidi, G.; Rawool, S.; Thakare, R.P.; Banday, S.; Mishra, A.K.; Das, G.; et al. Next-generation sequencing technology: Current trends and advancements. Biology 2023, 12, 997. [Google Scholar] [CrossRef] [PubMed]
  16. Mo, Q.; Feng, K.; Dai, S.; Wu, Q.; Zhang, Z.; Ali, A.; Deng, F.; Wang, H.; Ning, Y.-J. Transcriptome profiling highlights regulated biological processes and type III interferon antiviral responses upon crimean-congo hemorrhagic fever virus infection. Virol. Sin. 2023, 38, 34–46. [Google Scholar] [CrossRef]
  17. Ashburner, M.; Ball, C.A.; Blake, J.A.; Botstein, D.; Butler, H.; Cherry, J.M.; Davis, A.P.; Dolinski, K.; Dwight, S.S.; Eppig, J.T.; et al. Gene ontology: Tool for the unification of biology. Nat. Genet. 2000, 25, 25–29. [Google Scholar] [CrossRef] [PubMed]
  18. Kanehisa, M. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000, 28, 27–30. [Google Scholar] [CrossRef]
  19. Mahsoub, H.M.; Evans, N.P.; Beach, N.M.; Yuan, L.; Zimmerman, K.; Pierson, F.W. Real-time PCR-based infectivity assay for the titration of turkey hemorrhagic enteritis virus, an adenovirus, in live vaccines. J. Virol. Methods 2017, 239, 42–49. [Google Scholar] [CrossRef] [PubMed]
  20. Pertea, M.; Kim, D.; Pertea, G.M.; Leek, J.T.; Salzberg, S.L. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and ballgown. Nat. Protoc. 2016, 11, 1650–1667. [Google Scholar] [CrossRef]
  21. Mölder, F.; Jablonski, K.P.; Letcher, B.; Hall, M.B.; Tomkins-Tinch, C.H.; Sochat, V.; Forster, J.; Lee, S.; Twardziok, S.O.; Kanitz, A.; et al. Sustainable data analysis with snakemake. F1000Research 2021, 10, 33. [Google Scholar] [CrossRef] [PubMed]
  22. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnetjournal 2011, 17, 10. [Google Scholar] [CrossRef]
  23. Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef] [PubMed]
  24. Kolberg, L.; Raudvere, U.; Kuzmin, I.; Vilo, J.; Peterson, H. gprofiler2—An r package for gene list functional enrichment analysis and namespace conversion toolset g:profiler. F1000Research 2020, 9, ELIXIR-709. [Google Scholar] [CrossRef] [PubMed]
  25. Wickham, H. ggplot2: Elegant Graphics for Data Analysis; Springer: New York, NY, USA, 2016; Available online: https://ggplot2.tidyverse.org (accessed on 1 January 2025).
  26. Kolde, R. Pheatmap: Pretty Heatmaps. 2019. Available online: https://CRAN.R-project.org/package=pheatmap (accessed on 1 January 2025).
  27. Yan, L. Ggvenn: Draw Venn Diagram by ’ggplot2’. 2023. Available online: https://CRAN.R-project.org/package=ggvenn (accessed on 1 January 2025).
  28. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  29. Sherman, B.T.; Hao, M.; Qiu, J.; Jiao, X.; Baseler, M.W.; Lane, H.C.; Imamichi, T.; Chang, W. DAVID: A web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Res. 2022, 50, W216–W221. [Google Scholar] [CrossRef] [PubMed]
  30. Saunders, G.K.; Pierson, F.W.; Van Den Hurk, J.V. Haemorhagic enteritis virus infection in turkeys: A comparison of virulent and avirulent virus infections, and a proposed pathogenesis. Avian Pathol. 1993, 22, 47–58. [Google Scholar] [CrossRef]
  31. Barber, G.N. Host defense, viruses and apoptosis. Cell Death Differ. 2001, 8, 113–126. [Google Scholar] [CrossRef] [PubMed]
  32. Hardwick, J.M. Virus-induced apoptosis. In Apoptosls—Pharmacological Implications and Therapeutic Opportunities; Elsevier: Amsterdam, The Netherlands, 1997; pp. 295–336. [Google Scholar]
  33. Verburg, S.G.; Lelievre, R.M.; Westerveld, M.J.; Inkol, J.M.; Sun, Y.L.; Workenhe, S.T. Viral-mediated activation and inhibition of programmed cell death. PLOS Pathog. 2022, 18, e1010718. [Google Scholar] [CrossRef] [PubMed]
  34. Zhao, H.; Dahlö, M.; Isaksson, A.; Syvänen, A.-C.; Pettersson, U. The transcriptome of the adenovirus infected cell. Virology 2012, 424, 115–128. [Google Scholar] [CrossRef] [PubMed]
  35. Guimet, D.; Hearing, P. Adenovirus replication. In Adenoviral Vectors for Gene Therapy; Elsevier: Amsterdam, The Netherlands, 2016; pp. 59–84. [Google Scholar]
  36. Roos, W.P.; Kaina, B. DNA damage-induced cell death by apoptosis. Trends Mol. Med. 2006, 12, 440–450. [Google Scholar] [CrossRef]
  37. Martin, S.J. Protein or RNA synthesis inhibition induces apoptosis of mature human CD4+ t cell blasts. Immunol. Lett. 1993, 35, 125–134. [Google Scholar] [CrossRef] [PubMed]
  38. Christianson, J.C.; Carvalho, P. Order through destruction: How ER-associated protein degradation contributes to organelle homeostasis. EMBO J. 2022, 41, e109845. [Google Scholar] [CrossRef] [PubMed]
  39. van den Hurk, J.V. Propagation of group II avian adenoviruses in turkey and chicken leukocytes. Avian Dis. 1990, 34, 12. [Google Scholar] [CrossRef]
  40. Aboezz, Z.R.; Mahsoub, H.M.; El-Bagoury, G.; Pierson, F.W. In vitro growth kinetics and gene expression analysis of the turkey adenovirus 3, a siadenovirus. Virus Res. 2019, 263, 47–54. [Google Scholar] [CrossRef] [PubMed]
  41. Quaye, A.; Pickett, B.E.; Griffitts, J.S.; Berges, B.K.; Poole, B.D. Characterizing the splice map of turkey hemorrhagic enteritis virus. Virol. J. 2024, 21, 175. [Google Scholar] [CrossRef] [PubMed]
  42. Fribley, A.; Zhang, K.; Kaufman, R.J. Regulation of apoptosis by the unfolded protein response. In Apoptosis; Humana Press: Totowa, NJ, USA, 2009; pp. 191–204. [Google Scholar]
  43. Read, A.; Schröder, M. The unfolded protein response: An overview. Biology 2021, 10, 384. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Model of THEV-induced immunosuppression in turkeys. THEV infection of target cells is indicated with black dotted arrows. Black unbroken arrows indicate cell activation. Red arrows indicated signals leading to cell death (apoptosis/necrosis). Blue arrows indicate all cytokines released by the cell. Blue arrows with square heads indicated an event leading to IMS. Adapted from Rautenschlein et al. [8].
Figure 1. Model of THEV-induced immunosuppression in turkeys. THEV infection of target cells is indicated with black dotted arrows. Black unbroken arrows indicate cell activation. Red arrows indicated signals leading to cell death (apoptosis/necrosis). Blue arrows indicate all cytokines released by the cell. Blue arrows with square heads indicated an event leading to IMS. Adapted from Rautenschlein et al. [8].
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Figure 2. Principal component analysis (PCA) of turkey B-cells during THEV infection. At 12 hpi (A1), the results indicate that the first (PC1) and second (PC2) principal components account for 96% and 3% of the variation in the samples, respectively. Whereas PC1 and PC2 account for 96% and 2% of the variation, respectively at 24 hpi (A2). Poisson distance matrices illustrating the RNA-seq library integrity within treatment (infected versus mock) groups, with color scale representing the distances between biological replicates for both 12 hpi samples (B1) and 24 hpi samples (B2). Dark colors represent high correlation (similarity) between the samples involved. Volcano plots of DEGs between THEV-infected versus mock-infected cells at 12 hpi (C1) and 24 hpi (C2). Red, blue, and grey dots represent upregulated, downregulated, and non-significant genes, respectively, for both 12 hpi samples (C1) and 24 hpi samples (C2).
Figure 2. Principal component analysis (PCA) of turkey B-cells during THEV infection. At 12 hpi (A1), the results indicate that the first (PC1) and second (PC2) principal components account for 96% and 3% of the variation in the samples, respectively. Whereas PC1 and PC2 account for 96% and 2% of the variation, respectively at 24 hpi (A2). Poisson distance matrices illustrating the RNA-seq library integrity within treatment (infected versus mock) groups, with color scale representing the distances between biological replicates for both 12 hpi samples (B1) and 24 hpi samples (B2). Dark colors represent high correlation (similarity) between the samples involved. Volcano plots of DEGs between THEV-infected versus mock-infected cells at 12 hpi (C1) and 24 hpi (C2). Red, blue, and grey dots represent upregulated, downregulated, and non-significant genes, respectively, for both 12 hpi samples (C1) and 24 hpi samples (C2).
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Figure 3. DEGs of THEV-infected versus mock-infected samples at different time points. (A) Bar plot of number DEGs identified. Red represents upregulated genes and blue represents downregulated genes. Heatmaps of scaled expression data (Z-scores) of DEGs. DEGs identified at 12 hpi are shown in (B1) and DEGs at 24 hpi in (B2). Venn diagrams showing the number of DEGs identified at different time points. For the upregulated genes (C1), the blue circle represents genes at 4 hpi, the yellow circle, 12 hpi, and the green circle, 24 hpi. For the downregulated genes (C2), the red circle represents genes at 72 hpi, while all the other time points retain the colors from (C1).
Figure 3. DEGs of THEV-infected versus mock-infected samples at different time points. (A) Bar plot of number DEGs identified. Red represents upregulated genes and blue represents downregulated genes. Heatmaps of scaled expression data (Z-scores) of DEGs. DEGs identified at 12 hpi are shown in (B1) and DEGs at 24 hpi in (B2). Venn diagrams showing the number of DEGs identified at different time points. For the upregulated genes (C1), the blue circle represents genes at 4 hpi, the yellow circle, 12 hpi, and the green circle, 24 hpi. For the downregulated genes (C2), the red circle represents genes at 72 hpi, while all the other time points retain the colors from (C1).
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Figure 4. Dotplot of enriched gene ontology biological processes (BP). Significant BP GO terms identified for upregulated DEGs at 12 hpi and 24 hpi are shown in (A,B), respectively. Significant BP GO terms for downregulated DEGs at 12 hpi and 24 hpi are shown in (C,D), respectively. The y-axis indicates GO terms and the x-axis represents the rich factor, which indicates the ratio of the number of DEGs annotated to the term to the total number of genes annotated to the term. The diameter indicates the number of genes overlapping the gene ontology term, and the color indicates the enrichment p-value.
Figure 4. Dotplot of enriched gene ontology biological processes (BP). Significant BP GO terms identified for upregulated DEGs at 12 hpi and 24 hpi are shown in (A,B), respectively. Significant BP GO terms for downregulated DEGs at 12 hpi and 24 hpi are shown in (C,D), respectively. The y-axis indicates GO terms and the x-axis represents the rich factor, which indicates the ratio of the number of DEGs annotated to the term to the total number of genes annotated to the term. The diameter indicates the number of genes overlapping the gene ontology term, and the color indicates the enrichment p-value.
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Figure 5. Upregulation of ER unfolded protein response (UPR). KEGG pathway analysis shows multiple key genes involved in the ER UPR were upregulated. All genes from our DEG list are annotated with the red star. Known turkey-specific pathways are colored green, while reference pathways are left uncolored. Notably, ATF4, PERK, VCP (p97), TRAF2, UFD1, and several BCL2 and heat shock proteins are upregulated. We see that the PERK branch of the UPR pathway linked to apoptosis is upregulated. Another pathway linked to apoptosis via BAX is shown, as well as the ERAD protein degradation pathway. Note that due to limited annotation of the host genome, a significant proportion of the DEGs were not recognized by the database; hence, not shown here. Figure generated from KEGG pathway analysis in DAVID [29].
Figure 5. Upregulation of ER unfolded protein response (UPR). KEGG pathway analysis shows multiple key genes involved in the ER UPR were upregulated. All genes from our DEG list are annotated with the red star. Known turkey-specific pathways are colored green, while reference pathways are left uncolored. Notably, ATF4, PERK, VCP (p97), TRAF2, UFD1, and several BCL2 and heat shock proteins are upregulated. We see that the PERK branch of the UPR pathway linked to apoptosis is upregulated. Another pathway linked to apoptosis via BAX is shown, as well as the ERAD protein degradation pathway. Note that due to limited annotation of the host genome, a significant proportion of the DEGs were not recognized by the database; hence, not shown here. Figure generated from KEGG pathway analysis in DAVID [29].
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Figure 6. Validation of representative DEGs involved in apoptosis, protein synthesis, and ER-stress responses by RT-qPCR. MDTC-RP19 cells infected with THEV- or mock-infected were subjected to RT-qPCR analysis for the relative expression of the indicated DEGs at 24 hpi. GAPDH was used as the internal control. Data are expressed as the mean ± SD. All genes (THEV-infected) are statistically differentially expressed relative to their time-matched mock-infected counterparts based on Student’s t-test. The p-values are indicated on top of each bar, and the fold changes for each gene are indicated inside its corresponding bar.
Figure 6. Validation of representative DEGs involved in apoptosis, protein synthesis, and ER-stress responses by RT-qPCR. MDTC-RP19 cells infected with THEV- or mock-infected were subjected to RT-qPCR analysis for the relative expression of the indicated DEGs at 24 hpi. GAPDH was used as the internal control. Data are expressed as the mean ± SD. All genes (THEV-infected) are statistically differentially expressed relative to their time-matched mock-infected counterparts based on Student’s t-test. The p-values are indicated on top of each bar, and the fold changes for each gene are indicated inside its corresponding bar.
Viruses 17 00299 g006
Table 1. Summary of sequencing, quality control, and mapping processes.
Table 1. Summary of sequencing, quality control, and mapping processes.
SampleRaw Reads MTrimmed Reads MMapped Reads MUniquely Mapped
Reads M
Non-Uniquely
Mapped Reads M
Q20%Q30%GC
Content (%)
I_12hrsS1 Inf40.639.034.7 (88.92%)33.1 (84.78%)1.6 (4.14%)99.9597.2347.5
I_12hrsS3 Inf38.837.333.1 (88.78%)31.7 (84.95%)1.4 (3.83%)99.9597.5347.5
I_24hrsS1 Inf42.741.036.2 (88.13%)34.5 (84.2%)1.6 (3.93%)99.9596.9546.5
I_24hrsS2 Inf42.040.435.6 (88.1%)33.9 (83.83%)1.7 (4.27%)99.9497.0546.5
I_24hrsS3 Inf40.538.934.2 (88.01%)32.7 (84.12%)1.5 (3.89%)99.9597.0847.0
I_4hrsS1 Inf39.137.433 (88.16%)31.2 (83.43%)1.8 (4.73%)99.9397.0448.5
I_4hrsS2 Inf41.339.635.3 (89.24%)33.6 (84.92%)1.7 (4.33%)99.9597.1547.0
I_4hrsS3 Inf41.539.835.5 (89.2%)33.2 (83.29%)2.4 (5.91%)99.9597.1147.5
I_72hrsS1 Inf41.239.828.3 (71.09%)26.9 (67.7%)1.3 (3.38%)99.9697.2344.5
I_72hrsS2 Inf39.338.027 (71.11%)25.8 (67.86%)1.2 (3.25%)99.9697.3444.5
I_72hrsS3 Inf39.937.128.3 (76.36%)26.1 (70.3%)2.2 (6.05%)99.8796.1452.5
U_12hrsN1 Mk42.140.435.9 (88.72%)34.1 (84.39%)1.7 (4.33%)99.9597.0447.5
U_12hrsN2 Mk41.039.334.7 (88.4%)33.2 (84.53%)1.5 (3.86%)99.9497.0847.5
U_24hrsN1 Mk38.437.032.7 (88.46%)31.4 (84.74%)1.4 (3.72%)99.9697.4847.5
U_24hrsN2 Mk39.938.434 (88.58%)32.6 (84.96%)1.4 (3.61%)99.9596.9547.0
U_4hrsN1 Mk39.437.933.7 (88.9%)32 (84.41%)1.7 (4.49%)99.9697.3647.0
U_4hrsN2 Mk37.634.722 (63.43%)18.5 (53.18%)3.6 (10.25%)99.8094.9661.0
U_72hrsN1 Mk50.347.915.5 (32.4%)11.7 (24.5%)3.8 (7.9%)99.8896.5456.0
U_72hrsN2 Mk40.538.934.5 (88.82%)32.7 (84.14%)1.8 (4.68%)99.9597.0446.5
M All values for number of reads are in millions; Inf These are infected samples indicated by the letter “I” and “S” in sample names; Mk These are mock-infected samples indicated by the letters “U” and “N” in sample names.
Table 2. Gene ontology analysis of significantly upregulated DEGs identified at 12 hpi.
Table 2. Gene ontology analysis of significantly upregulated DEGs identified at 12 hpi.
GO CategoryGO:TermFold EnrichmentNumber of DEGsp-Value
(Adjusted)
Biological Process
GO:BPDNA-templated transcription2.17261.53 × 10−2
GO:BPAlcohol biosynthetic process3.77193.45 × 10−4
GO:BPAndrogen receptor signaling pathway10.0353.18 × 10−2
GO:BPApoptotic process2.75476.09 × 10−7
GO:BPApoptotic signaling pathway3.32208.19 × 10−4
GO:BPAppendage development4.2093.40 × 10−2
GO:BPAppendage morphogenesis4.5984.22 × 10−2
GO:BPAutophagy2.59234.43 × 10−3
GO:BPBiological process involved in interspecies interaction between organisms1.80401.74 × 10−2
GO:BPBiological regulation1.145178.20 × 10−4
GO:BPCatabolic process1.511081.03 × 10−3
GO:BPCell cycle1.68721.34 × 10−3
GO:BPCell cycle phase transition3.29114.63 × 10−2
GO:BPCell cycle process1.70594.85 × 10−3
GO:BPCell death2.85514.99 × 10−8
GO:BPCell division2.20261.31 × 10−2
GO:BPCellular catabolic process1.64444.22 × 10−2
GO:BPCellular component disassembly2.46211.31 × 10−2
GO:BPCellular lipid biosynthetic process9.3673.16 × 10−3
GO:BPCellular lipid metabolic process1.67673.03 × 10−3
GO:BPCellular localization1.451454.34 × 10−4
GO:BPCellular macromolecule localization1.581044.21 × 10−4
GO:BPCellular metabolic process1.233078.52 × 10−4
GO:BPCellular response to biotic stimulus3.21123.47 × 10−2
GO:BPCellular response to chemical stimulus1.56602.49 × 10−2
GO:BPCellular response to decreased oxygen levels4.8683.18 × 10−2
GO:BPCellular response to hypoxia5.0282.79 × 10−2
GO:BPCellular response to lipid2.66208.44 × 10−3
GO:BPCellular response to lipopolysaccharide3.56112.92 × 10−2
GO:BPCellular response to molecule of bacterial origin3.34114.22 × 10−2
GO:BPCellular response to oxygen levels5.0291.27 × 10−2
GO:BPCellular response to oxygen-containing compound1.92331.98 × 10−2
GO:BPCellular response to stress1.77811.11 × 10−4
GO:BPCholesterol biosynthetic process6.92107.48 × 10−4
GO:BPCholesterol metabolic process3.76121.20 × 10−2
GO:BPDeadenylation-independent decapping of nuclear-transcribed mrna14.3358.47 × 10−3
GO:BPDevelopmental growth2.58191.53 × 10−2
GO:BPEmbryo development1.93293.43 × 10−2
GO:BPEmbryonic morphogenesis2.36249.41 × 10−3
GO:BPEndoderm development6.4287.66 × 10−3
GO:BPErgosterol biosynthetic process12.7775.94 × 10−4
GO:BPErgosterol metabolic process12.7775.94 × 10−4
GO:BPEstablishment of localization1.241952.46 × 10−2
GO:BPEstablishment of localization in cell1.561045.94 × 10−4
GO:BPEstablishment of protein localization1.61733.79 × 10−3
GO:BPEstablishment of protein localization to organelle2.04347.41 × 10−3
GO:BPEstablishment or maintenance of cell polarity2.51201.48 × 10−2
GO:BPExtrinsic apoptotic signaling pathway4.18101.89 × 10−2
GO:BPGland development3.06169.41 × 10−3
GO:BPGrowth2.58191.53 × 10−2
GO:BPHemopoiesis2.16261.69 × 10−2
GO:BPHomeostasis of number of cells3.27141.27 × 10−2
GO:BPIntracellular lipid transport5.0282.79 × 10−2
GO:BPIntracellular protein transport2.00505.94 × 10−4
GO:BPIntracellular signal transduction1.54971.48 × 10−3
GO:BPIntracellular transport1.51791.02 × 10−2
GO:BPIntrinsic apoptotic signaling pathway3.70121.31 × 10−2
GO:BPLimb development4.2093.40 × 10−2
GO:BPLimb morphogenesis4.5984.22 × 10−2
GO:BPLipid biosynthetic process1.94461.94 × 10−3
GO:BPLipid metabolic process1.53797.41 × 10−3
GO:BPLocalization1.242191.25 × 10−2
GO:BPmRNA transcription7.8077.79 × 10−3
GO:BPMacroautophagy2.98185.47 × 10−3
GO:BPMacromolecule catabolic process1.76601.77 × 10−3
GO:BPMacromolecule localization1.581283.56 × 10−5
GO:BPMacromolecule metabolic process1.212866.45 × 10−3
GO:BPMacromolecule modification1.431389.09 × 10−4
GO:BPMetabolic process1.194263.93 × 10−4
GO:BPMitotic cell cycle1.94471.70 × 10−3
GO:BPMitotic cell cycle phase transition3.34114.22 × 10−2
GO:BPMitotic cell cycle process2.14418.20 × 10−4
GO:BPMotor neuron apoptotic process10.0353.18 × 10−2
GO:BPMulticellular organismal-level homeostasis2.48229.41 × 10−3
GO:BPNegative regulation of apoptotic process2.37364.54 × 10−4
GO:BPNegative regulation of biological process1.561871.90 × 10−7
GO:BPNegative regulation of biosynthetic process1.73681.03 × 10−3
GO:BPNegative regulation of cellular biosynthetic process1.74688.52 × 10−4
GO:BPNegative regulation of cellular metabolic process1.79809.46 × 10−5
GO:BPNegative regulation of cellular process1.591741.90 × 10−7
GO:BPNegative regulation of gene expression2.16408.52 × 10−4
GO:BPNegative regulation of intracellular signal transduction2.07281.78 × 10−2
GO:BPNegative regulation of macromolecule biosynthetic process1.70652.25 × 10−3
GO:BPNegative regulation of macromolecule metabolic process1.66827.20 × 10−4
GO:BPNegative regulation of metabolic process1.70911.10 × 10−4
GO:BPNegative regulation of programmed cell death2.35374.29 × 10−4
GO:BPNitrogen compound transport1.57794.15 × 10−3
GO:BPNuclear transport2.24222.79 × 10−2
GO:BPNuclear-transcribed mRNA catabolic process, deadenylation-independent decay14.3358.47 × 10−3
GO:BPNucleobase-containing compound catabolic process2.05244.40 × 10−2
GO:BPNucleocytoplasmic transport2.24222.79 × 10−2
GO:BPNucleoside bisphosphate metabolic process3.03133.39 × 10−2
GO:BPOrganic hydroxy compound biosynthetic process2.93203.11 × 10−3
GO:BPOrganonitrogen compound metabolic process1.292603.93 × 10−4
GO:BPOrganophosphate metabolic process1.59651.09 × 10−2
GO:BPPhosphate-containing compound metabolic process1.631451.11 × 10−6
GO:BPPhosphorus metabolic process1.631461.11 × 10−6
GO:BPPhosphorylation1.80741.96 × 10−4
GO:BPPhytosteroid biosynthetic process12.0493.75 × 10−5
GO:BPPhytosteroid metabolic process12.0493.75 × 10−5
GO:BPPositive regulation of apoptotic process2.85249.34 × 10−4
GO:BPPositive regulation of biological process1.331931.29 × 10−3
GO:BPPositive regulation of catabolic process2.30276.45 × 10−3
GO:BPPositive regulation of cell communication1.55554.22 × 10−2
GO:BPPositive regulation of cellular biosynthetic process1.44724.95 × 10−2
GO:BPPositive regulation of cellular metabolic process1.56988.52 × 10−4
GO:BPPositive regulation of cellular process1.341731.83 × 10−3
GO:BPPositive regulation of macromolecule metabolic process1.461005.97 × 10−3
GO:BPPositive regulation of metabolic process1.531164.34 × 10−4
GO:BPPositive regulation of programmed cell death2.74241.58 × 10−3
GO:BPPositive regulation of signal transduction1.62512.85 × 10−2
GO:BPPositive regulation of signaling1.55554.22 × 10−2
GO:BPPrimary metabolic process1.223801.08 × 10−4
GO:BPProcess utilizing autophagic mechanism2.59234.43 × 10−3
GO:BPProgrammed cell death2.85514.99 × 10−8
GO:BPProtein catabolic process1.66424.40 × 10−2
GO:BPProtein localization1.581044.21 × 10−4
GO:BPProtein localization to organelle1.90521.15 × 10−3
GO:BPProtein metabolic process1.271988.44 × 10−3
GO:BPProtein modification process1.551383.56 × 10−5
GO:BPProtein phosphorylation2.33619.07 × 10−7
GO:BPProtein transport1.58621.45 × 10−2
GO:BPPurine nucleoside bisphosphate metabolic process3.03133.39 × 10−2
GO:BPRegulation of DNA-templated transcription1.351427.41 × 10−3
GO:BPRegulation of RNA biosynthetic process1.351427.59 × 10−3
GO:BPRegulation of RNA metabolic process1.341545.97 × 10−3
GO:BPRegulation of anatomical structure morphogenesis1.81324.74 × 10−2
GO:BPRegulation of apoptotic process2.15572.79 × 10−5
GO:BPRegulation of autophagy2.61201.02 × 10−2
GO:BPRegulation of biological process1.154975.83 × 10−4
GO:BPRegulation of biosynthetic process1.402103.56 × 10−5
GO:BPRegulation of catabolic process2.01478.20 × 10−4
GO:BPRegulation of cell communication1.361201.31 × 10−2
GO:BPRegulation of cell cycle1.67433.66 × 10−2
GO:BPRegulation of cell cycle process1.79334.65 × 10−2
GO:BPRegulation of cellular biosynthetic process1.412102.24 × 10−5
GO:BPRegulation of cellular catabolic process2.35212.18 × 10−2
GO:BPRegulation of cellular metabolic process1.482522.56 × 10−8
GO:BPRegulation of cellular process1.164734.21 × 10−4
GO:BPRegulation of cytokine production2.21232.61 × 10−2
GO:BPRegulation of developmental process1.59734.88 × 10−3
GO:BPRegulation of epithelial cell apoptotic process5.0282.79 × 10−2
GO:BPRegulation of gene expression1.382011.06 × 10−4
GO:BPRegulation of intracellular signal transduction1.60734.75 × 10−3
GO:BPRegulation of leukocyte differentiation3.00133.64 × 10−2
GO:BPRegulation of macromolecule biosynthetic process1.392056.25 × 10−5
GO:BPRegulation of macromolecule metabolic process1.422489.05 × 10−7
GO:BPRegulation of metabolic process1.472796.08 × 10−9
GO:BPRegulation of mitotic cell cycle phase transition2.34184.74 × 10−2
GO:BPRegulation of nucleobase-containing compound metabolic process1.361671.29 × 10−3
GO:BPRegulation of phosphate metabolic process1.79372.89 × 10−2
GO:BPRegulation of phosphorus metabolic process1.79372.89 × 10−2
GO:BPRegulation of primary metabolic process1.402261.02 × 10−5
GO:BPRegulation of programmed cell death2.07576.77 × 10−5
GO:BPRegulation of protein metabolic process1.50594.97 × 10−2
GO:BPRegulation of response to stimulus1.391373.49 × 10−3
GO:BPRegulation of response to stress1.91462.54 × 10−3
GO:BPRegulation of signal transduction1.441104.85 × 10−3
GO:BPRegulation of signaling1.371211.25 × 10−2
GO:BPRegulation of transcription by RNA polymerase II1.411117.98 × 10−3
GO:BPResponse to chemical1.56951.24 × 10−3
GO:BPResponse to lipid2.41255.91 × 10−3
GO:BPResponse to nitrogen compound1.97302.46 × 10−2
GO:BPResponse to organonitrogen compound2.19297.59 × 10−3
GO:BPResponse to oxygen-containing compound1.90444.16 × 10−3
GO:BPResponse to stress1.441123.79 × 10−3
GO:BPRibonucleoside bisphosphate metabolic process3.03133.39 × 10−2
GO:BPSecondary alcohol biosynthetic process7.67131.58 × 10−5
GO:BPSecondary alcohol metabolic process3.70144.85 × 10−3
GO:BPSmall molecule biosynthetic process2.38453.75 × 10−5
GO:BPSmall molecule metabolic process1.44931.24 × 10−2
GO:BPSteroid biosynthetic process3.96168.52 × 10−4
GO:BPSteroid metabolic process2.54182.46 × 10−2
GO:BPSterol biosynthetic process7.24132.79 × 10−5
GO:BPSterol metabolic process3.86151.83 × 10−3
GO:BPTissue development1.58514.22 × 10−2
GO:BPTransport1.241833.18 × 10−2
GO:BPVesicle-mediated transport1.51809.41 × 10−3
Cellular Component
GO:CCGolgi apparatus1.52691.40 × 10−2
GO:CCBounding membrane of organelle1.70923.49 × 10−5
GO:CCChromatin1.84409.58 × 10−3
GO:CCChromosome1.58631.10 × 10−2
GO:CCCytoplasm1.285907.06 × 10−17
GO:CCCytoplasmic vesicle1.57881.12 × 10−3
GO:CCCytoplasmic vesicle membrane1.69412.85 × 10−2
GO:CCCytosol1.691666.96 × 10−10
GO:CCEarly endosome2.11223.70 × 10−2
GO:CCEndomembrane system1.482003.53 × 10−7
GO:CCEndoplasmic reticulum1.54862.07 × 10−3
GO:CCEndosome1.69481.37 × 10−2
GO:CCEndosome membrane2.02253.21 × 10−2
GO:CCIntracellular anatomical structure1.197748.23 × 10−20
GO:CCIntracellular membrane-bounded organelle1.295781.08 × 10−16
GO:CCIntracellular organelle1.236557.52 × 10−16
GO:CCIntracellular organelle lumen1.511354.91 × 10−5
GO:CCIntracellular vesicle1.55881.62 × 10−3
GO:CCMembrane-bounded organelle1.265957.52 × 10−16
GO:CCMembrane-enclosed lumen1.511354.91 × 10−5
GO:CCNuclear lumen1.551196.06 × 10−5
GO:CCNucleoplasm1.751041.57 × 10−6
GO:CCNucleus1.423711.33 × 10−13
GO:CCOrganelle1.216662.49 × 10−14
GO:CCOrganelle lumen1.511354.91 × 10−5
GO:CCOrganelle membrane1.591543.53 × 10−7
GO:CCOrganelle subcompartment1.56651.21 × 10−2
GO:CCPerinuclear region of cytoplasm2.51252.11 × 10−3
GO:CCPhagophore assembly site4.7382.83 × 10−2
GO:CCProtein–DNA complex1.76421.40 × 10−2
GO:CCSpindle2.04252.85 × 10−2
GO:CCTranscription regulator complex1.99301.40 × 10−2
GO:CCVacuole1.82342.73 × 10−2
GO:CCVesicle1.51951.94 × 10−3
GO:CCVesicle membrane1.74431.40 × 10−2
Molecular Function
GO:MFATP binding1.331282.71 × 10−2
GO:MFDNA-binding transcription factor binding2.73225.83 × 10−3
GO:MFR-SMAD binding10.3154.03 × 10−2
GO:MFRNA polymerase II-specific DNA-binding transcription factor binding2.94181.05 × 10−2
GO:MFAdenyl nucleotide binding1.301334.38 × 10−2
GO:MFAdenyl ribonucleotide binding1.331302.71 × 10−2
GO:MFBinding1.097144.02 × 10−4
GO:MFEnzyme binding2.201028.60 × 10−11
GO:MFEnzyme regulator activity1.50821.38 × 10−2
GO:MFIdentical protein binding2.07541.96 × 10−4
GO:MFIon binding1.193251.05 × 10−2
GO:MFKinase activity1.58864.95 × 10−3
GO:MFKinase binding2.14355.83 × 10−3
GO:MFManganese ion binding5.6291.05 × 10−2
GO:MFMolecular adaptor activity1.90735.57 × 10−5
GO:MFMyosin phosphatase activity4.6492.71 × 10−2
GO:MFNuclear androgen receptor binding12.8851.83 × 10−2
GO:MFPhosphotransferase activity, alcohol group as acceptor1.59805.83 × 10−3
GO:MFProtein binding1.274278.52 × 10−8
GO:MFProtein domain specific binding2.51255.83 × 10−3
GO:MFProtein homodimerization activity2.29232.51 × 10−2
GO:MFProtein kinase activity1.59671.20 × 10−2
GO:MFProtein kinase binding2.10311.18 × 10−2
GO:MFProtein serine/threonine kinase activity1.68444.27 × 10−2
GO:MFProtein–macromolecule adaptor activity1.98675.57 × 10−5
GO:MFPurine ribonucleoside triphosphate binding1.281484.38 × 10−2
GO:MFSignaling adaptor activity3.44123.01 × 10−2
GO:MFSmall molecule binding1.193385.83 × 10−3
GO:MFTranscription coregulator activity1.93381.18 × 10−2
GO:MFTranscription factor binding2.38276.59 × 10−3
GO:MFTransferase activity1.301761.05 × 10−2
GO:MFTransferase activity, transferring phosphorus-containing groups1.51965.83 × 10−3
Table 3. Gene ontology analysis of significantly downregulated DEGs identified at 12 hpi.
Table 3. Gene ontology analysis of significantly downregulated DEGs identified at 12 hpi.
GO CategoryGO:TermFold EnrichmentNumber of DEGsp-Value
(Adjusted)
Biological Process
GO:BP“de novo” AMP biosynthetic process10.1652.26 × 10−2
GO:BP“de novo” IMP biosynthetic process11.4351.51 × 10−2
GO:BP“de novo” XMP biosynthetic process18.2941.71 × 10−2
GO:BP“de novo” post-translational protein folding8.31106.05 × 10−5
GO:BP“de novo” protein folding7.95108.96 × 10−5
GO:BPAMP biosynthetic process7.8461.71 × 10−2
GO:BPATP biosynthetic process6.5891.26 × 10−3
GO:BPATP metabolic process4.29191.86 × 10−5
GO:BPATP synthesis coupled electron transport6.10181.95 × 10−7
GO:BPDNA damage response2.35697.26 × 10−9
GO:BPDNA geometric change4.3392.22 × 10−2
GO:BPDNA integrity checkpoint signaling3.75166.72 × 10−4
GO:BPDNA metabolic process2.74823.18 × 10−14
GO:BPDNA recombination2.07233.64 × 10−2
GO:BPDNA repair2.39511.44 × 10−6
GO:BPDNA replication4.95392.28 × 10−14
GO:BPDNA replication checkpoint signaling6.3685.00 × 10−3
GO:BPDNA replication initiation5.2381.71 × 10−2
GO:BPDNA strand elongation6.9782.67 × 10−3
GO:BPDNA strand elongation involved in DNA replication7.3281.93 × 10−3
GO:BPDNA-templated DNA replication5.29338.34 × 10−13
GO:BPDNA-templated DNA replication maintenance of fidelity4.4383.69 × 10−2
GO:BPGMP biosynthetic process9.1568.32 × 10−3
GO:BPGMP metabolic process7.8461.71 × 10−2
GO:BPNADH dehydrogenase complex assembly4.5783.13 × 10−2
GO:BPRNA biosynthetic process2.551354.64 × 10−22
GO:BPRNA export from nucleus3.77134.16 × 10−3
GO:BPRNA localization3.69222.39 × 10−5
GO:BPRNA metabolic process2.491526.25 × 10−24
GO:BPRNA modification2.30193.26 × 10−2
GO:BPRNA processing3.041206.65 × 10−26
GO:BPRNA splicing2.51331.35 × 10−4
GO:BPRNA splicing, via transesterification reactions2.70282.22 × 10−4
GO:BPRNA splicing, via transesterification reactions with bulged adenosine as nucleophile2.70282.22 × 10−4
GO:BPRNA transport3.70182.32 × 10−4
GO:BPXMP biosynthetic process18.2941.71 × 10−2
GO:BPXMP metabolic process18.2941.71 × 10−2
GO:BPAerobic electron transport chain5.97162.15 × 10−6
GO:BPAerobic respiration5.10291.17 × 10−10
GO:BPAmino acid activation3.25113.83 × 10−2
GO:BPBiosynthetic process2.253773.04 × 10−57
GO:BPCarbohydrate derivative biosynthetic process1.64492.14 × 10−2
GO:BPCarbohydrate derivative metabolic process1.49692.28 × 10−2
GO:BPCell cycle1.47693.10 × 10−2
GO:BPCell cycle DNA replication6.3391.67 × 10−3
GO:BPCell cycle checkpoint signaling3.59201.16 × 10−4
GO:BPCell cycle process1.50574.88 × 10−2
GO:BPCellular biosynthetic process2.293294.05 × 10−50
GO:BPCellular component assembly1.341172.26 × 10−2
GO:BPCellular component biogenesis1.831825.57 × 10−14
GO:BPCellular component organization or biogenesis1.263109.53 × 10−5
GO:BPCellular metabolic process1.774823.42 × 10−45
GO:BPCellular process1.108273.50 × 10−7
GO:BPCellular respiration4.50292.81 × 10−9
GO:BPCellular response to stress1.79905.95 × 10−6
GO:BPChaperone cofactor-dependent protein refolding7.8493.37 × 10−4
GO:BPChaperone-mediated protein folding5.03111.45 × 10−3
GO:BPChromosome organization2.15386.51 × 10−4
GO:BPCytoplasmic translation9.15277.21 × 10−17
GO:BPCytoplasmic translational initiation7.4894.85 × 10−4
GO:BPDouble-strand break repair via break-induced replication7.3262.28 × 10−2
GO:BPElectron transport chain5.08205.49 × 10−7
GO:BPEnergy derivation by oxidation of organic compounds3.00301.49 × 10−5
GO:BPEstablishment of RNA localization3.70182.32 × 10−4
GO:BPEstablishment of protein localization to mitochondrion3.09123.30 × 10−2
GO:BPEstablishment of protein localization to organelle1.91351.13 × 10−2
GO:BPFormation of cytoplasmic translation initiation complex11.6473.80 × 10−4
GO:BPGene expression3.072894.61 × 10−70
GO:BPGeneration of precursor metabolites and energy2.77401.13 × 10−6
GO:BPImmunoglobulin production involved in immunoglobulin-mediated immune response5.8272.28 × 10−2
GO:BPImport into nucleus2.69153.01 × 10−2
GO:BPImport into the mitochondrion3.92125.82 × 10−3
GO:BPIsotype switching9.1553.13 × 10−2
GO:BPmRNA metabolic process2.21474.07 × 10−5
GO:BPmRNA processing2.50392.09 × 10−5
GO:BPmRNA splicing, via spliceosome2.70282.22 × 10−4
GO:BPMacromolecule biosynthetic process2.693138.24 × 10−63
GO:BPMacromolecule metabolic process1.794666.20 × 10−45
GO:BPMacromolecule methylation2.81143.04 × 10−2
GO:BPMaturation of 5.8S rRNA6.79131.21 × 10−5
GO:BPMaturation of LSU-rRNA8.13161.88 × 10−8
GO:BPMaturation of LSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA)5.5772.86 × 10−2
GO:BPMaturation of SSU-rRNA6.22174.15 × 10−7
GO:BPMaturation of SSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA)6.27128.09 × 10−5
GO:BPmetabolic process1.576189.00 × 10−47
GO:BPMitochondrial ATP synthesis coupled electron transport6.10175.49 × 10−7
GO:BPMitochondrial DNA metabolic process9.8571.15 × 10−3
GO:BPMitochondrial DNA replication9.1553.13 × 10−2
GO:BPMitochondrial electron transport, NADH to ubiquinone6.5891.26 × 10−3
GO:BPMitochondrial gene expression2.93124.86 × 10−2
GO:BPMitochondrial genome maintenance6.1071.85 × 10−2
GO:BPMitochondrial respiratory chain complex I assembly4.5783.13 × 10−2
GO:BPMitochondrial transmembrane transport3.70182.32 × 10−4
GO:BPMitochondrial transport3.47226.14 × 10−5
GO:BPMitochondrion organization2.51391.97 × 10−5
GO:BPMitotic cell cycle1.69452.01 × 10−2
GO:BPMitotic cell cycle checkpoint signaling3.13132.10 × 10−2
GO:BPMitotic cell cycle process1.71364.39 × 10−2
GO:BPNegative regulation of DNA metabolic process3.43121.71 × 10−2
GO:BPNegative regulation of cell cycle2.19241.71 × 10−2
GO:BPNegative regulation of cell cycle phase transition2.49201.22 × 10−2
GO:BPNegative regulation of cell cycle process2.26212.46 × 10−2
GO:BPNon-membrane-bounded organelle assembly1.99301.66 × 10−2
GO:BPNuclear DNA replication6.3391.67 × 10−3
GO:BPNuclear export3.33203.06 × 10−4
GO:BPNuclear transport2.79305.99 × 10−5
GO:BPNucleic acid biosynthetic process2.571421.38 × 10−23
GO:BPNucleic acid metabolic process2.562261.57 × 10−39
GO:BPNucleic acid transport3.70182.32 × 10−4
GO:BPNucleobase-containing compound biosynthetic process2.571782.25 × 10−30
GO:BPNucleobase-containing compound metabolic process2.412769.74 × 10−45
GO:BPNucleobase-containing compound transport3.22221.83 × 10−4
GO:BPNucleobase-containing small molecule metabolic process2.04537.60 × 10−5
GO:BPNucleocytoplasmic transport2.79305.99 × 10−5
GO:BPNucleoside monophosphate biosynthetic process5.12149.79 × 10−5
GO:BPNucleoside monophosphate metabolic process4.57143.08 × 10−4
GO:BPNucleoside phosphate biosynthetic process2.50312.80 × 10−4
GO:BPNucleoside phosphate metabolic process2.00464.85 × 10−4
GO:BPNucleoside triphosphate biosynthetic process5.23161.41 × 10−5
GO:BPNucleoside triphosphate metabolic process3.95272.73 × 10−7
GO:BPNucleotide biosynthetic process2.53312.28 × 10−4
GO:BPNucleotide metabolic process2.10461.68 × 10−4
GO:BPOrganelle organization1.231744.94 × 10−2
GO:BPOrganonitrogen compound biosynthetic process2.741703.69 × 10−32
GO:BPOrganonitrogen compound metabolic process1.503312.81 × 10−14
GO:BPOxidative phosphorylation6.29221.17 × 10−9
GO:BPPositive regulation of gene expression1.74373.13 × 10−2
GO:BPPositive regulation of signal transduction by p53 class mediator13.0658.24 × 10−3
GO:BPPositive regulation of translation3.59112.11 × 10−2
GO:BPPrimary metabolic process1.635561.30 × 10−44
GO:BPProtein folding4.00356.76 × 10−10
GO:BPProtein import into nucleus2.80152.20 × 10−2
GO:BPProtein localization to mitochondrion3.01124.05 × 10−2
GO:BPProtein localization to nucleus2.49173.01 × 10−2
GO:BPProtein maturation2.16422.32 × 10−4
GO:BPProtein metabolic process1.522612.39 × 10−11
GO:BPProtein stabilization3.85164.94 × 10−4
GO:BPProtein targeting2.11223.80 × 10−2
GO:BPProtein targeting to mitochondrion3.66121.06 × 10−2
GO:BPProtein–RNA complex assembly5.76403.24 × 10−17
GO:BPProtein–RNA complex organization5.54401.35 × 10−16
GO:BPProtein-containing complex assembly2.19832.81 × 10−9
GO:BPProtein-containing complex organization1.951121.17 × 10−9
GO:BPProton motive force-driven ATP synthesis6.8699.28 × 10−4
GO:BPPurine nucleoside monophosphate biosynthetic process4.5783.13 × 10−2
GO:BPPurine nucleoside triphosphate biosynthetic process4.91111.78 × 10−3
GO:BPPurine nucleoside triphosphate metabolic process3.69214.37 × 10−5
GO:BPPurine nucleotide metabolic process1.76334.40 × 10−2
GO:BPPurine ribonucleoside monophosphate biosynthetic process4.5783.13 × 10−2
GO:BPPurine ribonucleoside triphosphate biosynthetic process5.03111.45 × 10−3
GO:BPPurine ribonucleoside triphosphate metabolic process3.88212.09 × 10−5
GO:BPPurine ribonucleotide metabolic process1.94292.52 × 10−2
GO:BPrRNA metabolic process5.57634.00 × 10−27
GO:BPrRNA modification5.1497.66 × 10−3
GO:BPrRNA processing5.97621.61 × 10−28
GO:BPRegulation of DNA metabolic process2.92302.42 × 10−5
GO:BPRegulation of DNA replication6.23161.18 × 10−6
GO:BPRegulation of DNA strand elongation8.3154.39 × 10−2
GO:BPRegulation of DNA-templated DNA replication7.8461.71 × 10−2
GO:BPRegulation of G2/M transition of mitotic cell cycle3.41112.94 × 10−2
GO:BPRegulation of apoptotic process1.58464.77 × 10−2
GO:BPRegulation of apoptotic signaling pathway2.29202.86 × 10−2
GO:BPRegulation of cell cycle1.95551.68 × 10−4
GO:BPRegulation of cell cycle phase transition2.42306.83 × 10−4
GO:BPRegulation of cell cycle process2.18441.16 × 10−4
GO:BPRegulation of protein stability3.41193.76 × 10−4
GO:BPRegulation of signal transduction by p53 class mediator6.1071.85 × 10−2
GO:BPRegulation of translation2.26203.13 × 10−2
GO:BPRespiratory electron transport chain4.99184.43 × 10−6
GO:BPResponse to stress1.451239.23 × 10−4
GO:BPRibonucleoprotein complex biogenesis5.521081.71 × 10−47
GO:BPRibonucleoside monophosphate biosynthetic process4.88128.23 × 10−4
GO:BPRibonucleoside monophosphate metabolic process4.39122.07 × 10−3
GO:BPRibonucleoside triphosphate biosynthetic process5.45145.12 × 10−5
GO:BPRibonucleoside triphosphate metabolic process4.14248.49 × 10−7
GO:BPRibonucleotide biosynthetic process2.42228.55 × 10−3
GO:BPRibonucleotide metabolic process2.12342.14 × 10−3
GO:BPRibose phosphate biosynthetic process2.55242.07 × 10−3
GO:BPRibose phosphate metabolic process2.19367.72 × 10−4
GO:BPRibosomal large subunit assembly10.16109.32 × 10−6
GO:BPRibosomal large subunit biogenesis8.18348.01 × 10−20
GO:BPRibosomal small subunit assembly8.5472.70 × 10−3
GO:BPRibosomal small subunit biogenesis7.36312.14 × 10−16
GO:BPRibosome assembly8.13206.51 × 10−11
GO:BPRibosome biogenesis5.80862.32 × 10−39
GO:BPSmall molecule metabolic process1.501068.46 × 10−4
GO:BPSomatic diversification of immunoglobulins involved in immune response9.1553.13 × 10−2
GO:BPSomatic recombination of immunoglobulin genes involved in immune response9.1553.13 × 10−2
GO:BPtRNA aminoacylation3.41112.94 × 10−2
GO:BPtRNA metabolic process2.81313.49 × 10−5
GO:BPtRNA transport14.6343.24 × 10−2
GO:BPTelomere maintenance3.35113.13 × 10−2
GO:BPTelomere organization3.19114.28 × 10−2
GO:BPTranslation6.311107.08 × 10−55
GO:BPTranslational elongation4.3084.31 × 10−2
GO:BPTranslational initiation5.78121.79 × 10−4
GO:BPViral gene expression18.2951.45 × 10−3
GO:BPViral translation18.2941.71 × 10−2
Cellular Component
GO:CC90S preribosome8.05201.61 × 10−11
GO:CCArp2/3 protein complex7.8952.33 × 10−2
GO:CCCtf18 RFC-like complex15.7751.30 × 10−3
GO:CCDNA replication preinitiation complex9.4651.18 × 10−2
GO:CCINO80-type complex5.6862.68 × 10−2
GO:CCIno80 complex7.8952.33 × 10−2
GO:CCMCM complex7.2853.08 × 10−2
GO:CCSm-like protein family complex3.57132.69 × 10−3
GO:CCU2-type prespliceosome6.3161.77 × 10−2
GO:CCU2-type spliceosomal complex4.32134.48 × 10−4
GO:CCcatalytic complex1.631362.38 × 10−7
GO:CCCatalytic step 2 spliceosome3.40142.49 × 10−3
GO:CCChaperonin-containing T-complex7.3672.67 × 10−3
GO:CCChromatin1.64412.10 × 10−2
GO:CCChromosome1.98911.20 × 10−8
GO:CCCytochrome complex5.1071.77 × 10−2
GO:CCCytoplasm1.296859.10 × 10−22
GO:CCCytosol2.092374.82 × 10−28
GO:CCCytosolic large ribosomal subunit10.51401.85 × 10−29
GO:CCCytosolic ribosome10.70693.41 × 10−52
GO:CCCytosolic small ribosomal subunit12.20291.62 × 10−23
GO:CCEndopeptidase complex3.11138.59 × 10−3
GO:CCEukaryotic 43S preinitiation complex12.6281.11 × 10−5
GO:CCEukaryotic 48S preinitiation complex15.1481.98 × 10−6
GO:CCEukaryotic translation initiation factor 3 complex12.1792.20 × 10−6
GO:CCEukaryotic translation initiation factor 3 complex, eIF3m15.1441.26 × 10−2
GO:CCExosome (RNase complex)5.1663.92 × 10−2
GO:CCFibrillar center3.44101.94 × 10−2
GO:CCInner mitochondrial membrane protein complex4.50296.05 × 10−10
GO:CCIntracellular anatomical structure1.269516.67 × 10−51
GO:CCIntracellular membrane-bounded organelle1.397192.65 × 10−36
GO:CCIntracellular non-membrane-bounded organelle1.853612.45 × 10−34
GO:CCIntracellular organelle1.338231.15 × 10−41
GO:CCIntracellular organelle lumen2.622716.67 × 10−51
GO:CCLarge ribosomal subunit8.79521.03 × 10−33
GO:CCMembrane-bounded organelle1.347291.48 × 10−31
GO:CCMembrane-enclosed lumen2.622716.67 × 10−51
GO:CCMitochondrial envelope2.71683.51 × 10−12
GO:CCMitochondrial inner membrane3.34503.51 × 10−12
GO:CCMitochondrial intermembrane space4.7395.04 × 10−3
GO:CCMitochondrial large ribosomal subunit4.73131.79 × 10−4
GO:CCMitochondrial matrix3.99429.69 × 10−13
GO:CCMitochondrial membrane2.58608.01 × 10−10
GO:CCMitochondrial protein-containing complex4.57559.42 × 10−20
GO:CCMitochondrial proton-transporting ATP synthase complex6.0898.94 × 10−4
GO:CCMitochondrial proton-transporting ATP synthase complex, coupling factor F(o)6.7653.92 × 10−2
GO:CCMitochondrial respirasome5.1663.92 × 10−2
GO:CCMitochondrial ribosome5.03215.82 × 10−8
GO:CCMitochondrial small ribosomal subunit6.0682.67 × 10−3
GO:CCMitochondrion2.461772.97 × 10−28
GO:CCNon-membrane-bounded organelle1.853621.14 × 10−34
GO:CCNuclear chromosome3.03253.48 × 10−5
GO:CCNuclear envelope2.30341.90 × 10−4
GO:CCNuclear lumen2.492214.84 × 10−37
GO:CCNuclear membrane2.38162.43 × 10−2
GO:CCNuclear pore3.51133.05 × 10−3
GO:CCNuclear protein-containing complex2.211372.38 × 10−17
GO:CCNucleolus4.681118.60 × 10−42
GO:CCNucleoplasm1.941333.47 × 10−12
GO:CCNucleus1.534624.75 × 10−26
GO:CCOrganellar large ribosomal subunit4.73131.79 × 10−4
GO:CCOrganellar ribosome5.03215.82 × 10−8
GO:CCOrganellar small ribosomal subunit6.0682.67 × 10−3
GO:CCOrganelle1.308294.21 × 10−37
GO:CCOrganelle envelope2.561018.81 × 10−17
GO:CCOrganelle envelope lumen4.3798.53 × 10−3
GO:CCOrganelle inner membrane3.14544.23 × 10−12
GO:CCOrganelle lumen2.622716.67 × 10−51
GO:CCOrganelle membrane1.251403.13 × 10−2
GO:CCOxidoreductase complex4.27142.31 × 10−4
GO:CCPeptidase complex2.70151.18 × 10−2
GO:CCPreribosome8.06436.98 × 10−26
GO:CCPreribosome, large subunit precursor8.60101.27 × 10−5
GO:CCPreribosome, small subunit precursor7.1061.05 × 10−2
GO:CCPrespliceosome6.3161.77 × 10−2
GO:CCProtein folding chaperone complex7.33124.35 × 10−6
GO:CCProtein–DNA complex1.89522.33 × 10−4
GO:CCProtein-containing complex1.734675.00 × 10−40
GO:CCProton-transporting ATP synthase complex5.8791.16 × 10−3
GO:CCProton-transporting ATP synthase complex, coupling factor F(o)7.1061.05 × 10−2
GO:CCProton-transporting two-sector ATPase complex3.26102.66 × 10−2
GO:CCReplication fork4.82131.51 × 10−4
GO:CCRespirasome5.2286.59 × 10−3
GO:CCRespiratory chain complex5.8283.33 × 10−3
GO:CCRibonucleoprotein complex5.281817.13 × 10−79
GO:CCRibosomal subunit9.31908.18 × 10−62
GO:CCRibosome8.451009.07 × 10−64
GO:CCRough endoplasmic reticulum3.8883.13 × 10−2
GO:CCSmall nuclear ribonucleoprotein complex3.65117.47 × 10−3
GO:CCSmall ribosomal subunit10.00373.59 × 10−26
GO:CCSmall-subunit processome8.20261.78 × 10−15
GO:CCsno(s)RNA-containing ribonucleoprotein complex7.5786.08 × 10−4
GO:CCSpliceosomal complex2.63298.28 × 10−5
GO:CCSpliceosomal snRNP complex3.86114.98 × 10−3
GO:CCSpliceosomal tri-snRNP complex4.8889.58 × 10−3
GO:CCTranslation preinitiation complex13.1091.03 × 10−6
Molecular Function
GO:MFATP hydrolysis activity1.81381.92 × 10−2
GO:MFATP-dependent activity, acting on DNA2.75204.94 × 10−3
GO:MFATP-dependent protein folding chaperone4.92151.11 × 10−4
GO:MFDNA helicase activity4.66131.02 × 10−3
GO:MFNADH dehydrogenase (ubiquinone) activity9.6867.91 × 10−3
GO:MFRNA binding3.201811.08 × 10−43
GO:MFCatalytic activity, acting on DNA2.37321.02 × 10−3
GO:MFCatalytic activity, acting on RNA2.07411.27 × 10−3
GO:MFCatalytic activity, acting on a nucleic acid2.13713.41 × 10−7
GO:MFCatalytic activity, acting on a tRNA2.83194.94 × 10−3
GO:MFElectron transfer activity5.1682.07 × 10−2
GO:MFHeat shock protein binding3.45131.17 × 10−2
GO:MFHelicase activity2.66214.94 × 10−3
GO:MFHeterocyclic compound binding1.231804.54 × 10−2
GO:MFHydrolase activity, acting on acid anhydrides1.66711.87 × 10−3
GO:MFHydrolase activity, acting on acid anhydrides, in phosphorus-containing anhydrides1.64702.65 × 10−3
GO:MFIdentical protein binding2.09582.05 × 10−5
GO:MFIsomerase activity2.25213.26 × 10−2
GO:MFmRNA binding2.26351.02 × 10−3
GO:MFNucleic acid binding1.742921.36 × 10−21
GO:MFNucleoside phosphate binding1.241733.69 × 10−2
GO:MFNucleotide binding1.241733.69 × 10−2
GO:MFOrganic cyclic compound binding1.434382.05 × 10−17
GO:MFOxidoreductase activity1.55681.17 × 10−2
GO:MFOxidoreductase activity, acting on NAD(P)H4.63114.18 × 10−3
GO:MFOxidoreductase activity, acting on NAD(P)H, quinone or similar compound as acceptor7.7482.16 × 10−3
GO:MFOxidoreduction-driven active transmembrane transporter activity6.7771.26 × 10−2
GO:MFPoly(U) RNA binding9.6853.33 × 10−2
GO:MFProtein folding chaperone4.01172.99 × 10−4
GO:MFProtein-folding chaperone binding3.45131.17 × 10−2
GO:MFProton transmembrane transporter activity2.79171.23 × 10−2
GO:MFPyrophosphatase activity1.65702.23 × 10−3
GO:MFrRNA binding7.82218.21 × 10−11
GO:MFRibonucleoprotein complex binding3.39171.91 × 10−3
GO:MFRibonucleoside triphosphate phosphatase activity1.57611.65 × 10−2
GO:MFRibosome binding3.99133.66 × 10−3
GO:MFSingle-stranded DNA binding3.64161.61 × 10−3
GO:MFSingle-stranded DNA helicase activity7.0483.73 × 10−3
GO:MFsnoRNA binding10.84147.89 × 10−9
GO:MFstructural constituent of nuclear pore5.4273.82 × 10−2
GO:MFstructural constituent of ribosome9.21885.28 × 10−59
GO:MFStructural molecule activity2.691098.75 × 10−19
GO:MFTranslation elongation factor activity7.5377.78 × 10−3
GO:MFTranslation factor activity, RNA binding5.36231.83 × 10−8
GO:MFTranslation initiation factor activity5.58152.21 × 10−5
GO:MFTranslation regulator activity4.84298.60 × 10−10
GO:MFTranslation regulator activity, nucleic acid binding4.94243.61 × 10−8
GO:MFUnfolded protein binding4.65254.96 × 10−8
Table 4. Gene ontology analysis of significantly upregulated DEGs identified at 24 hpi.
Table 4. Gene ontology analysis of significantly upregulated DEGs identified at 24 hpi.
GO CategoryGO:TermFold EnrichmentNumber of DEGsp-Value
(Adjusted)
Biological Process
GO:BPERAD pathway6.28141.77 × 10−5
GO:BPAlcohol biosynthetic process3.22223.23 × 10−4
GO:BPAutophagy2.33283.55 × 10−3
GO:BPBiosynthetic process1.212521.72 × 10−2
GO:BPCarbohydrate derivative metabolic process1.47841.58 × 10−2
GO:BPCatabolic process1.711653.58 × 10−9
GO:BPCell death1.73422.50 × 10−2
GO:BPCellular biosynthetic process1.242201.58 × 10−2
GO:BPCellular catabolic process1.76641.02 × 10−3
GO:BPCellular homeostasis1.64453.99 × 10−2
GO:BPCellular lipid biosynthetic process7.8981.81 × 10−3
GO:BPCellular lipid metabolic process1.60871.20 × 10−3
GO:BPCellular localization1.441961.35 × 10−5
GO:BPCellular macromolecule localization1.511351.34 × 10−4
GO:BPCellular metabolic process1.254227.24 × 10−6
GO:BPCellular response to stress1.691051.87 × 10−5
GO:BPCellular response to topologically incorrect protein2.87134.82 × 10−2
GO:BPChaperone-mediated protein folding3.70103.73 × 10−2
GO:BPChemical homeostasis1.61542.28 × 10−2
GO:BPCholesterol biosynthetic process7.14143.72 × 10−6
GO:BPCholesterol metabolic process3.70161.34 × 10−3
GO:BPCytosolic transport2.78162.09 × 10−2
GO:BPEmbryonic epithelial tube formation3.89102.70 × 10−2
GO:BPEmbryonic morphogenesis2.03282.34 × 10−2
GO:BPEndocytosis1.83411.20 × 10−2
GO:BPEpithelial tube formation3.79103.22 × 10−2
GO:BPErgosterol biosynthetic process10.7681.76 × 10−4
GO:BPErgosterol metabolic process10.7681.76 × 10−4
GO:BPEstablishment of localization1.402989.39 × 10−8
GO:BPEstablishment of localization in cell1.601452.78 × 10−6
GO:BPEstablishment of protein localization1.631001.68 × 10−4
GO:BPEstablishment of protein localization to organelle1.85427.96 × 10−3
GO:BPGlycoprotein metabolic process1.88408.79 × 10−3
GO:BPHeparan sulfate proteoglycan biosynthetic process7.75115.17 × 10−5
GO:BPHomeostatic process1.60733.78 × 10−3
GO:BPIntracellular monoatomic cation homeostasis1.82362.50 × 10−2
GO:BPIntracellular monoatomic ion homeostasis1.82362.63 × 10−2
GO:BPIntracellular pH reduction6.12121.68 × 10−4
GO:BPIntracellular protein transport2.03696.74 × 10−6
GO:BPIntracellular signal transduction1.391198.90 × 10−3
GO:BPIntracellular transport1.661188.14 × 10−6
GO:BPLipid biosynthetic process1.77572.31 × 10−3
GO:BPLipid metabolic process1.501051.77 × 10−3
GO:BPLocalization1.343229.94 × 10−7
GO:BPLysosomal lumen acidification10.5752.34 × 10−2
GO:BPMacroautophagy2.32194.03 × 10−2
GO:BPMacromolecule catabolic process1.95905.00 × 10−7
GO:BPMacromolecule localization1.481624.06 × 10−5
GO:BPMacromolecule metabolic process1.354351.22 × 10−10
GO:BPMacromolecule modification1.622122.68 × 10−10
GO:BPMetabolic process1.256091.89 × 10−10
GO:BPModification-dependent macromolecule catabolic process1.84493.12 × 10−3
GO:BPModification-dependent protein catabolic process1.84492.99 × 10−3
GO:BPMonoatomic cation homeostasis1.75392.96 × 10−2
GO:BPMonoatomic ion homeostasis1.75402.65 × 10−2
GO:BPMorphogenesis of embryonic epithelium3.70112.25 × 10−2
GO:BPNegative regulation of biological process1.332165.68 × 10−4
GO:BPNegative regulation of biosynthetic process1.56833.32 × 10−3
GO:BPNegative regulation of cellular biosynthetic process1.57832.79 × 10−3
GO:BPNegative regulation of cellular metabolic process1.64991.56 × 10−4
GO:BPNegative regulation of cellular process1.372031.70 × 10−4
GO:BPNegative regulation of cytokine production3.15132.50 × 10−2
GO:BPNegative regulation of gene expression2.15543.27 × 10−5
GO:BPNegative regulation of intracellular signal transduction2.24412.58 × 10−4
GO:BPNegative regulation of macromolecule biosynthetic process1.53798.47 × 10−3
GO:BPNegative regulation of macromolecule metabolic process1.45979.56 × 10−3
GO:BPNegative regulation of metabolic process1.551123.27 × 10−4
GO:BPNeural tube formation4.0394.08 × 10−2
GO:BPNitrogen compound transport1.731181.35 × 10−6
GO:BPOrganic hydroxy compound biosynthetic process2.48236.55 × 10−3
GO:BPOrganonitrogen compound catabolic process1.841001.01 × 10−6
GO:BPOrganonitrogen compound metabolic process1.393811.64 × 10−10
GO:BPPeptidyl-amino acid modification2.40424.49 × 10−5
GO:BPPeptidyl-serine modification2.87134.82 × 10−2
GO:BPPeptidyl-threonine modification5.28103.48 × 10−3
GO:BPPhosphate-containing compound metabolic process1.311581.20 × 10−2
GO:BPPhospholipid biosynthetic process2.03244.91 × 10−2
GO:BPPhospholipid metabolic process1.71394.17 × 10−2
GO:BPPhosphorus metabolic process1.311609.82 × 10−3
GO:BPPhosphorylation1.42794.67 × 10−2
GO:BPPhytosteroid biosynthetic process9.86101.77 × 10−5
GO:BPPhytosteroid metabolic process9.86101.77 × 10−5
GO:BPPositive regulation of apoptotic process2.19251.78 × 10−2
GO:BPPositive regulation of biological process1.262492.53 × 10−3
GO:BPPositive regulation of catabolic process2.38381.68 × 10−4
GO:BPPositive regulation of cell communication1.53741.13 × 10−2
GO:BPPositive regulation of cellular process1.242171.54 × 10−2
GO:BPPositive regulation of intracellular signal transduction1.61493.55 × 10−2
GO:BPPositive regulation of macromolecule metabolic process1.321233.22 × 10−2
GO:BPPositive regulation of metabolic process1.381423.34 × 10−3
GO:BPPositive regulation of programmed cell death2.10252.71 × 10−2
GO:BPPositive regulation of protein catabolic process2.64181.71 × 10−2
GO:BPPositive regulation of protein metabolic process1.67501.78 × 10−2
GO:BPPositive regulation of response to stimulus1.43902.09 × 10−2
GO:BPPositive regulation of signal transduction1.64703.22 × 10−3
GO:BPPositive regulation of signaling1.53741.13 × 10−2
GO:BPPost-translational protein modification1.73754.24 × 10−4
GO:BPPrimary metabolic process1.325589.52 × 10−14
GO:BPProcess utilizing autophagic mechanism2.33283.55 × 10−3
GO:BPProgrammed cell death1.73422.50 × 10−2
GO:BPProteasomal protein catabolic process2.36426.24 × 10−5
GO:BPProteasome-mediated ubiquitin-dependent protein catabolic process1.90284.97 × 10−2
GO:BPProtein catabolic process2.07712.36 × 10−6
GO:BPProtein export from nucleus4.5584.17 × 10−2
GO:BPProtein folding2.40263.87 × 10−3
GO:BPProtein localization1.511351.30 × 10−4
GO:BPProtein localization to organelle1.53574.32 × 10−2
GO:BPProtein localization to vacuole2.76144.39 × 10−2
GO:BPProtein maturation1.70413.55 × 10−2
GO:BPProtein metabolic process1.483131.04 × 10−10
GO:BPProtein modification by small protein conjugation1.59562.50 × 10−2
GO:BPProtein modification by small protein conjugation or removal1.73735.68 × 10−4
GO:BPProtein modification by small protein removal2.51182.60 × 10−2
GO:BPProtein modification process1.682021.04 × 10−10
GO:BPProtein phosphorylation1.80645.84 × 10−4
GO:BPProtein transport1.62868.20 × 10−4
GO:BPProtein ubiquitination1.60513.47 × 10−2
GO:BPProteoglycan biosynthetic process3.85134.99 × 10−3
GO:BPProteoglycan metabolic process3.70152.31 × 10−3
GO:BPProteolysis1.451016.55 × 10−3
GO:BPProteolysis involved in protein catabolic process1.97635.57 × 10−5
GO:BPRegulation of apoptotic process1.62581.54 × 10−2
GO:BPRegulation of autophagy2.31241.20 × 10−2
GO:BPRegulation of catabolic process2.09665.48 × 10−6
GO:BPRegulation of cell communication1.331587.93 × 10−3
GO:BPRegulation of cellular catabolic process2.07253.36 × 10−2
GO:BPRegulation of cellular metabolic process1.262908.57 × 10−4
GO:BPRegulation of cellular pH3.19191.47 × 10−3
GO:BPRegulation of cytokine production2.27322.03 × 10−3
GO:BPRegulation of cytoplasmic pattern recognition receptor signaling pathway3.89102.70 × 10−2
GO:BPRegulation of defense response1.88342.33 × 10−2
GO:BPRegulation of intracellular pH3.13182.85 × 10−3
GO:BPRegulation of intracellular signal transduction1.60993.58 × 10−4
GO:BPRegulation of lysosomal lumen pH8.0761.86 × 10−2
GO:BPRegulation of macromolecule metabolic process1.222913.83 × 10−3
GO:BPRegulation of metabolic process1.273296.35 × 10−5
GO:BPRegulation of pH2.99193.08 × 10−3
GO:BPRegulation of primary metabolic process1.202622.50 × 10−2
GO:BPRegulation of programmed cell death1.58592.12 × 10−2
GO:BPRegulation of proteasomal protein catabolic process2.60163.55 × 10−2
GO:BPRegulation of protein catabolic process2.47272.19 × 10−3
GO:BPRegulation of protein metabolic process1.60851.41 × 10−3
GO:BPRegulation of proteolysis involved in protein catabolic process2.78196.74 × 10−3
GO:BPRegulation of response to stimulus1.341792.19 × 10−3
GO:BPRegulation of response to stress1.78581.81 × 10−3
GO:BPRegulation of signal transduction1.411461.27 × 10−3
GO:BPRegulation of signaling1.321581.06 × 10−2
GO:BPResponse to chemical1.491236.61 × 10−4
GO:BPResponse to endoplasmic reticulum stress3.24231.76 × 10−4
GO:BPResponse to nitrogen compound1.93405.15 × 10−3
GO:BPResponse to organonitrogen compound2.06373.12 × 10−3
GO:BPResponse to stress1.421498.20 × 10−4
GO:BPResponse to topologically incorrect protein3.00151.61 × 10−2
GO:BPSecondary alcohol biosynthetic process7.40176.60 × 10−8
GO:BPSecondary alcohol metabolic process3.50188.20 × 10−4
GO:BPSmall molecule biosynthetic process1.72442.28 × 10−2
GO:BPSteroid biosynthetic process3.65201.68 × 10−4
GO:BPSteroid metabolic process2.50244.19 × 10−3
GO:BPSterol biosynthetic process6.99171.44 × 10−7
GO:BPSterol metabolic process3.60193.27 × 10−4
GO:BPSulfur compound biosynthetic process2.75181.13 × 10−2
GO:BPSulfur compound metabolic process1.95302.66 × 10−2
GO:BPTissue morphogenesis2.10243.43 × 10−2
GO:BPTransport1.412839.39 × 10−8
GO:BPUbiquitin-dependent protein catabolic process1.89491.89 × 10−3
GO:BPVacuolar acidification6.16101.18 × 10−3
GO:BPVacuolar transport2.47237.10 × 10−3
GO:BPVacuole organization2.24204.33 × 10−2
GO:BPVesicle organization1.89294.52 × 10−2
GO:BPVesicle-mediated transport1.661198.14 × 10−6
Cellular Component
GO:CCATPase complex2.46191.18 × 10−2
GO:CCATPase dependent transmembrane transport complex3.96116.39 × 10−3
GO:CCGolgi apparatus1.681054.83 × 10−6
GO:CCGolgi apparatus subcompartment1.83284.19 × 10−2
GO:CCGolgi cisterna3.11122.23 × 10−2
GO:CCGolgi membrane2.28451.13 × 10−5
GO:CCBounding membrane of organelle1.891411.37 × 10−11
GO:CCCatalytic complex1.301302.23 × 10−2
GO:CCCation-transporting ATPase complex4.14114.36 × 10−3
GO:CCClathrin-coated vesicle2.72161.23 × 10−2
GO:CCCoated vesicle2.38261.90 × 10−3
GO:CCCytoplasm1.308276.20 × 10−27
GO:CCCytoplasmic vesicle1.651285.29 × 10−7
GO:CCCytoplasmic vesicle membrane1.85629.07 × 10−5
GO:CCCytosol1.582144.32 × 10−10
GO:CCEarly endosome1.94282.07 × 10−2
GO:CCEndocytic vesicle2.26183.61 × 10−2
GO:CCEndomembrane system1.683151.99 × 10−20
GO:CCEndoplasmic reticulum1.881458.54 × 10−12
GO:CCEndoplasmic reticulum membrane1.98841.17 × 10−7
GO:CCEndoplasmic reticulum subcompartment1.98859.98 × 10−8
GO:CCEndosome1.81713.79 × 10−5
GO:CCEndosome membrane2.16374.17 × 10−4
GO:CCIntracellular anatomical structure1.1610435.44 × 10−20
GO:CCIntracellular membrane-bounded organelle1.308053.83 × 10−25
GO:CCIntracellular organelle1.198812.20 × 10−16
GO:CCIntracellular organelle lumen1.531905.31 × 10−8
GO:CCIntracellular protein-containing complex1.47791.13 × 10−2
GO:CCIntracellular vesicle1.631281.01 × 10−6
GO:CCLysosomal membrane3.03321.47 × 10−6
GO:CCLysosome2.62522.58 × 10−8
GO:CCLytic vacuole2.59523.79 × 10−8
GO:CCLytic vacuole membrane3.03321.47 × 10−6
GO:CCMembrane1.126122.43 × 10−3
GO:CCMembrane microdomain2.66161.48 × 10−2
GO:CCMembrane raft2.69161.35 × 10−2
GO:CCMembrane-bounded organelle1.268224.43 × 10−22
GO:CCMembrane-enclosed lumen1.531905.31 × 10−8
GO:CCNuclear body1.81332.23 × 10−2
GO:CCNuclear lumen1.551644.35 × 10−7
GO:CCNuclear outer membrane-endoplasmic reticulum membrane network1.94842.90 × 10−7
GO:CCNucleolus1.62462.25 × 10−2
GO:CCNucleoplasm1.671379.98 × 10−8
GO:CCNucleus1.244471.08 × 10−6
GO:CCOrganelle1.178939.33 × 10−14
GO:CCOrganelle lumen1.531905.31 × 10−8
GO:CCOrganelle membrane1.822441.57 × 10−19
GO:CCOrganelle subcompartment1.931111.94 × 10−9
GO:CCPerinuclear region of cytoplasm2.47346.02 × 10−5
GO:CCProtein-containing complex1.133664.13 × 10−2
GO:CCProton-transporting V-type ATPase complex4.5282.23 × 10−2
GO:CCVacuolar membrane2.73399.21 × 10−7
GO:CCVacuolar proton-transporting V-type ATPase complex6.3382.95 × 10−3
GO:CCVacuole2.48642.52 × 10−9
GO:CCVesicle1.561363.62 × 10−6
GO:CCVesicle membrane1.94669.55 × 10−6
Molecular Function
GO:MFAcyltransferase activity1.63727.45 × 10−3
GO:MFBinding1.079241.02 × 10−2
GO:MFCatalytic activity1.165221.47 × 10−3
GO:MFCatalytic activity, acting on a protein1.282304.88 × 10−3
GO:MFEnzyme binding1.951202.10 × 10−9
GO:MFIdentical protein binding2.17752.02 × 10−7
GO:MFKinase binding2.08451.47 × 10−3
GO:MFLipid binding1.57624.54 × 10−2
GO:MFManganese ion binding4.71102.12 × 10−2
GO:MFMisfolded protein binding7.40109.76 × 10−4
GO:MFProtein binding1.245514.61 × 10−8
GO:MFProtein domain specific binding2.12283.51 × 10−2
GO:MFProtein kinase binding2.04404.88 × 10−3
GO:MFSteroid binding3.20143.61 × 10−2
GO:MFTransferase activity1.302332.67 × 10−3
GO:MFUbiquitin-like protein ligase binding2.50194.88 × 10−2
Table 5. Gene ontology analysis of significantly downregulated DEGs identified at 24 hpi.
Table 5. Gene ontology analysis of significantly downregulated DEGs identified at 24 hpi.
GO CategoryGO:TermFold EnrichmentNumber of DEGsp-Value
(Adjusted)
Biological Process
GO:BP“de novo” IMP biosynthetic process8.4653.63 × 10−2
GO:BP“de novo” XMP biosynthetic process13.5343.42 × 10−2
GO:BP2′-deoxyribonucleotide biosynthetic process7.8973.48 × 10−3
GO:BP2′-deoxyribonucleotide metabolic process5.2673.23 × 10−2
GO:BPADP catabolic process3.54112.13 × 10−2
GO:BPADP metabolic process3.46112.38 × 10−2
GO:BPATP biosynthetic process5.95112.49 × 10−4
GO:BPATP metabolic process3.84234.27 × 10−6
GO:BPATP synthesis coupled electron transport6.26251.40 × 10−11
GO:BPDNA damage response2.04811.12 × 10−7
GO:BPDNA integrity checkpoint signaling2.95175.00 × 10−3
GO:BPDNA metabolic process2.27922.37 × 10−11
GO:BPDNA recombination2.13323.19 × 10−3
GO:BPDNA repair2.28665.27 × 10−8
GO:BPDNA replication3.29359.38 × 10−8
GO:BPDNA-templated DNA replication3.44298.52 × 10−7
GO:BPDNA-templated DNA replication maintenance of fidelity3.6994.84 × 10−2
GO:BPGMP biosynthetic process6.7662.73 × 10−2
GO:BPL-amino acid biosynthetic process3.09132.14 × 10−2
GO:BPL-amino acid metabolic process2.46289.12 × 10−4
GO:BPRNA biosynthetic process1.711224.31 × 10−7
GO:BPRNA metabolic process1.891561.03 × 10−12
GO:BPRNA processing1.85992.56 × 10−7
GO:BPRNA splicing2.25401.31 × 10−4
GO:BPRNA splicing, via transesterification reactions2.42341.68 × 10−4
GO:BPRNA splicing, via transesterification reactions with bulged adenosine as nucleophile2.42341.68 × 10−4
GO:BPXMP biosynthetic process13.5343.42 × 10−2
GO:BPXMP metabolic process13.5343.42 × 10−2
GO:BPAerobic electron transport chain6.35239.80 × 10−11
GO:BPAerobic respiration5.33417.30 × 10−17
GO:BPAlpha-amino acid biosynthetic process3.05141.48 × 10−2
GO:BPAlpha-amino acid metabolic process2.16295.33 × 10−3
GO:BPAmino acid activation4.80221.38 × 10−7
GO:BPAmino acid metabolic process2.61524.48 × 10−8
GO:BPBiosynthetic process1.784046.23 × 10−33
GO:BPCarbohydrate derivative metabolic process1.42891.91 × 10−2
GO:BPCarboxylic acid metabolic process1.76786.39 × 10−5
GO:BPCatabolic process1.301382.31 × 10−2
GO:BPCell cycle2.281455.63 × 10−19
GO:BPCell cycle DNA replication4.6891.22 × 10−2
GO:BPCell cycle checkpoint signaling3.05231.96 × 10−4
GO:BPCell cycle phase transition2.83142.68 × 10−2
GO:BPCell cycle process2.351211.51 × 10−16
GO:BPCell division2.28409.83 × 10−5
GO:BPCellular biosynthetic process1.833567.55 × 10−31
GO:BPCellular component assembly1.511798.36 × 10−7
GO:BPCellular component biogenesis1.612175.62 × 10−11
GO:BPCellular component disassembly2.06262.14 × 10−2
GO:BPCellular component organization1.203818.36 × 10−4
GO:BPCellular component organization or biogenesis1.254173.54 × 10−6
GO:BPCellular metabolic process1.555712.12 × 10−32
GO:BPCellular modified amino acid metabolic process2.19213.21 × 10−2
GO:BPCellular process1.1011211.42 × 10−10
GO:BPCellular respiration4.93432.46 × 10−16
GO:BPCellular response to stress1.741182.81 × 10−7
GO:BPCentromere complex assembly4.9282.09 × 10−2
GO:BPChromatin organization2.10514.41 × 10−5
GO:BPChromatin remodeling2.07371.70 × 10−3
GO:BPChromosome organization2.47592.36 × 10−8
GO:BPChromosome segregation2.49471.02 × 10−6
GO:BPCytoplasmic translation8.27332.36 × 10−20
GO:BPCytoplasmic translational initiation7.38127.93 × 10−6
GO:BPDeoxyribonucleotide biosynthetic process6.3783.90 × 10−3
GO:BPDeoxyribonucleotide metabolic process4.5183.17 × 10−2
GO:BPDeoxyribose phosphate biosynthetic process7.8973.48 × 10−3
GO:BPDeoxyribose phosphate metabolic process4.9874.10 × 10−2
GO:BPDouble-strand break repair2.15313.48 × 10−3
GO:BPDouble-strand break repair via homologous recombination2.29202.53 × 10−2
GO:BPElectron transport chain5.64301.03 × 10−12
GO:BPEnergy derivation by oxidation of organic compounds3.40465.23 × 10−11
GO:BPFatty acid beta-oxidation3.57143.37 × 10−3
GO:BPFatty acid oxidation3.27147.85 × 10−3
GO:BPFormation of cytoplasmic translation initiation complex9.8481.51 × 10−4
GO:BPFormation of translation preinitiation complex9.6652.30 × 10−2
GO:BPGene expression2.262881.04 × 10−39
GO:BPGeneration of precursor metabolites and energy3.07601.49 × 10−12
GO:BPGlycolytic process3.63111.81 × 10−2
GO:BPImport into the mitochondrion3.14131.89 × 10−2
GO:BPLipid oxidation3.21149.33 × 10−3
GO:BPmRNA metabolic process1.95561.28 × 10−4
GO:BPmRNA processing2.14451.28 × 10−4
GO:BPmRNA splicing, via spliceosome2.42341.68 × 10−4
GO:BPMacromolecule biosynthetic process2.033195.47 × 10−35
GO:BPMacromolecule catabolic process1.43724.46 × 10−2
GO:BPMacromolecule metabolic process1.545403.53 × 10−29
GO:BPMaturation of LSU-rRNA3.76102.42 × 10−2
GO:BPMeiosis I cell cycle process2.43164.50 × 10−2
GO:BPMeiotic cell cycle2.42298.58 × 10−4
GO:BPMeiotic cell cycle process2.71281.68 × 10−4
GO:BPMeiotic nuclear division2.71248.57 × 10−4
GO:BPMetabolic process1.437613.14 × 10−36
GO:BPMicrotubule cytoskeleton organization involved in mitosis2.67282.13 × 10−4
GO:BPMicrotubule-based process1.44851.63 × 10−2
GO:BPMitochondrial ATP synthesis coupled electron transport6.37242.94 × 10−11
GO:BPMitochondrial electron transport, NADH to ubiquinone5.41101.70 × 10−3
GO:BPMitochondrial electron transport, succinate to ubiquinone13.5343.42 × 10−2
GO:BPMitochondrial gene expression3.07173.37 × 10−3
GO:BPMitochondrial translation3.64142.78 × 10−3
GO:BPMitochondrial transmembrane transport2.89192.75 × 10−3
GO:BPMitochondrial transport2.68231.42 × 10−3
GO:BPMitochondrion organization1.81381.58 × 10−2
GO:BPMitotic DNA integrity checkpoint signaling3.06123.38 × 10−2
GO:BPMitotic cell cycle2.64955.25 × 10−16
GO:BPMitotic cell cycle checkpoint signaling3.03173.78 × 10−3
GO:BPMitotic cell cycle phase transition2.87142.38 × 10−2
GO:BPMitotic cell cycle process2.68769.49 × 10−13
GO:BPMitotic nuclear division2.82202.41 × 10−3
GO:BPMitotic sister chromatid segregation2.92192.39 × 10−3
GO:BPMitotic spindle organization2.76221.43 × 10−3
GO:BPNegative regulation of cell cycle2.03301.10 × 10−2
GO:BPNegative regulation of cell cycle phase transition2.30256.05 × 10−3
GO:BPNegative regulation of cell cycle process2.15279.53 × 10−3
GO:BPNon-membrane-bounded organelle assembly2.40491.65 × 10−6
GO:BPNuclear DNA replication4.6891.22 × 10−2
GO:BPNuclear chromosome segregation2.47322.06 × 10−4
GO:BPNuclear division2.71426.47 × 10−7
GO:BPNucleic acid biosynthetic process1.751312.42 × 10−8
GO:BPNucleic acid metabolic process2.022413.92 × 10−25
GO:BPNucleobase-containing compound biosynthetic process1.801686.72 × 10−12
GO:BPNucleobase-containing compound catabolic process1.84322.83 × 10−2
GO:BPNucleobase-containing compound metabolic process1.993083.62 × 10−32
GO:BPNucleobase-containing small molecule metabolic process1.91672.86 × 10−5
GO:BPNucleoside diphosphate metabolic process2.91142.17 × 10−2
GO:BPNucleoside monophosphate biosynthetic process3.25122.30 × 10−2
GO:BPNucleoside monophosphate metabolic process2.90124.90 × 10−2
GO:BPNucleoside phosphate biosynthetic process2.09352.32 × 10−3
GO:BPNucleoside phosphate metabolic process1.96613.63 × 10−5
GO:BPNucleoside triphosphate biosynthetic process4.35182.11 × 10−5
GO:BPNucleoside triphosphate metabolic process3.36315.03 × 10−7
GO:BPNucleotide biosynthetic process2.05343.69 × 10−3
GO:BPNucleotide metabolic process2.00593.40 × 10−5
GO:BPOrganelle assembly1.63798.36 × 10−4
GO:BPOrganelle fission2.44421.11 × 10−5
GO:BPOrganelle organization1.382658.36 × 10−7
GO:BPOrganic acid metabolic process1.70801.79 × 10−4
GO:BPOrganonitrogen compound biosynthetic process2.542131.45 × 10−35
GO:BPOrganonitrogen compound metabolic process1.464364.46 × 10−17
GO:BPOxidative phosphorylation6.34302.57 × 10−14
GO:BPOxoacid metabolic process1.75796.92 × 10−5
GO:BPPeptidyl-amino acid modification1.78343.42 × 10−2
GO:BPPeptidyl-proline modification4.5191.58 × 10−2
GO:BPPositive regulation of apoptotic process2.00253.42 × 10−2
GO:BPPositive regulation of signal transduction by p53 class mediator9.6652.30 × 10−2
GO:BPPrimary metabolic process1.456705.01 × 10−32
GO:BPProtein metabolic process1.413276.60 × 10−10
GO:BPProtein peptidyl-prolyl isomerization6.3783.90 × 10−3
GO:BPProtein–DNA complex assembly3.28236.53 × 10−5
GO:BPProtein–DNA complex organization2.23623.95 × 10−7
GO:BPProtein–RNA complex assembly4.26401.03 × 10−12
GO:BPProtein–RNA complex organization4.20418.95 × 10−13
GO:BPProtein-containing complex assembly2.071061.19 × 10−10
GO:BPProtein-containing complex organization1.971535.98 × 10−14
GO:BPProteinogenic amino acid biosynthetic process3.09132.14 × 10−2
GO:BPProteinogenic amino acid metabolic process2.46261.73 × 10−3
GO:BPProton motive force-driven ATP synthesis6.20111.68 × 10−4
GO:BPPurine nucleoside diphosphate catabolic process3.46112.38 × 10−2
GO:BPPurine nucleoside diphosphate metabolic process3.61121.02 × 10−2
GO:BPPurine nucleoside triphosphate biosynthetic process4.29131.08 × 10−3
GO:BPPurine nucleoside triphosphate metabolic process3.25252.63 × 10−5
GO:BPPurine nucleotide biosynthetic process1.95263.69 × 10−2
GO:BPPurine nucleotide metabolic process1.90481.11 × 10−3
GO:BPPurine ribonucleoside diphosphate catabolic process3.46112.38 × 10−2
GO:BPPurine ribonucleoside diphosphate metabolic process3.38112.75 × 10−2
GO:BPPurine ribonucleoside triphosphate biosynthetic process4.06123.66 × 10−3
GO:BPPurine ribonucleoside triphosphate metabolic process3.28243.71 × 10−5
GO:BPPurine ribonucleotide biosynthetic process2.09233.25 × 10−2
GO:BPPurine ribonucleotide metabolic process2.03411.00 × 10−3
GO:BPPurine-containing compound biosynthetic process1.93273.50 × 10−2
GO:BPPurine-containing compound metabolic process1.86501.20 × 10−3
GO:BPPyridine nucleotide catabolic process3.46112.38 × 10−2
GO:BPPyridine-containing compound catabolic process3.38112.75 × 10−2
GO:BPPyruvate metabolic process2.87142.38 × 10−2
GO:BPrRNA metabolic process2.48382.68 × 10−5
GO:BPrRNA processing2.56362.63 × 10−5
GO:BPRecombinational repair2.24203.24 × 10−2
GO:BPRegulation of DNA metabolic process2.01281.89 × 10−2
GO:BPRegulation of DNA replication3.74133.86 × 10−3
GO:BPRegulation of G2/M transition of mitotic cell cycle3.44152.78 × 10−3
GO:BPRegulation of apoptotic process1.53602.68 × 10−2
GO:BPRegulation of apoptotic signaling pathway2.11251.93 × 10−2
GO:BPRegulation of cell cycle2.05782.06 × 10−7
GO:BPRegulation of cell cycle G2/M phase transition3.18163.60 × 10−3
GO:BPRegulation of cell cycle phase transition2.32398.76 × 10−5
GO:BPRegulation of cell cycle process2.13585.99 × 10−6
GO:BPRegulation of cellular response to stress2.09306.75 × 10−3
GO:BPRegulation of chromosome organization2.35174.54 × 10−2
GO:BPRegulation of chromosome segregation3.10141.27 × 10−2
GO:BPRegulation of double-strand break repair2.90124.90 × 10−2
GO:BPRegulation of metaphase/anaphase transition of cell cycle3.76102.42 × 10−2
GO:BPRegulation of mitotic cell cycle2.05371.99 × 10−3
GO:BPRegulation of mitotic cell cycle phase transition2.28265.00 × 10−3
GO:BPRegulation of mitotic metaphase/anaphase transition3.87102.13 × 10−2
GO:BPRegulation of mitotic sister chromatid separation3.8094.04 × 10−2
GO:BPRegulation of translation2.00244.09 × 10−2
GO:BPRespiratory electron transport chain5.74285.17 × 10−12
GO:BPResponse to stress1.401613.57 × 10−4
GO:BPRibonucleoprotein complex biogenesis3.17845.63 × 10−19
GO:BPRibonucleoside diphosphate catabolic process3.38112.75 × 10−2
GO:BPRibonucleoside diphosphate metabolic process3.25122.30 × 10−2
GO:BPRibonucleoside triphosphate biosynthetic process4.03141.00 × 10−3
GO:BPRibonucleoside triphosphate metabolic process3.32261.07 × 10−5
GO:BPRibonucleotide biosynthetic process2.04252.81 × 10−2
GO:BPRibonucleotide metabolic process2.03445.34 × 10−4
GO:BPRibose phosphate biosynthetic process2.20285.00 × 10−3
GO:BPRibose phosphate metabolic process2.16484.64 × 10−5
GO:BPRibosomal large subunit biogenesis3.74212.61 × 10−5
GO:BPRibosomal small subunit assembly6.3171.33 × 10−2
GO:BPRibosomal small subunit biogenesis3.69213.07 × 10−5
GO:BPRibosome assembly5.71199.60 × 10−8
GO:BPRibosome biogenesis2.90585.23 × 10−11
GO:BPSexual reproduction1.74514.56 × 10−3
GO:BPSignal transduction in response to DNA damage2.54154.38 × 10−2
GO:BPSister chromatid segregation2.91201.62 × 10−3
GO:BPSmall molecule metabolic process1.541477.02 × 10−6
GO:BPSpindle organization2.62326.68 × 10−5
GO:BPtRNA aminoacylation5.04225.27 × 10−8
GO:BPtRNA aminoacylation for protein translation4.92205.03 × 10−7
GO:BPtRNA metabolic process2.28345.83 × 10−4
GO:BPTetrahydrofolate metabolic process6.2463.75 × 10−2
GO:BPTranslation5.771363.59 × 10−65
GO:BPTranslational elongation4.77128.57 × 10−4
GO:BPTranslational initiation5.34151.59 × 10−5
GO:BPTricarboxylic acid cycle5.34151.59 × 10−5
Cellular Component
GO:CCArp2/3 protein complex6.9261.02 × 10−2
GO:CCSm-like protein family complex3.21161.16 × 10−3
GO:CCU1 snRNP5.1071.67 × 10−2
GO:CCU12-type spliceosomal complex4.6272.88 × 10−2
GO:CCU2 snRNP5.5483.72 × 10−3
GO:CCU2-type spliceosomal complex3.64155.33 × 10−4
GO:CCU4 snRNP10.3961.12 × 10−3
GO:CCU5 snRNP7.5566.68 × 10−3
GO:CCAminoacyl-tRNA synthetase multienzyme complex8.0871.12 × 10−3
GO:CCCatalytic complex1.641881.31 × 10−10
GO:CCCatalytic step 2 spliceosome3.02171.37 × 10−3
GO:CCCentrosome1.78555.33 × 10−4
GO:CCChromatin1.69581.18 × 10−3
GO:CCChromosomal region2.85416.00 × 10−8
GO:CCChromosome2.091312.56 × 10−14
GO:CCChromosome, centromeric region2.94347.34 × 10−7
GO:CCCleavage furrow4.8289.12 × 10−3
GO:CCCondensed chromosome2.77361.29 × 10−6
GO:CCCondensed chromosome, centromeric region2.70243.03 × 10−4
GO:CCCytochrome complex5.86111.01 × 10−4
GO:CCCytoplasm1.289297.97 × 10−28
GO:CCCytosol1.953023.27 × 10−30
GO:CCCytosolic large ribosomal subunit8.46444.02 × 10−29
GO:CCCytosolic ribosome8.63764.32 × 10−52
GO:CCCytosolic small ribosomal subunit9.54311.85 × 10−22
GO:CCEukaryotic 43S preinitiation complex9.2389.12 × 10−5
GO:CCEukaryotic 48S preinitiation complex11.0881.63 × 10−5
GO:CCEukaryotic translation initiation factor 3 complex8.9092.36 × 10−5
GO:CCEukaryotic translation initiation factor 3 complex, eIF3m11.0843.24 × 10−2
GO:CCInner mitochondrial membrane protein complex3.86344.75 × 10−10
GO:CCIntracellular anatomical structure1.2312658.08 × 10−52
GO:CCIntracellular membrane-bounded organelle1.289054.52 × 10−26
GO:CCIntracellular non-membrane-bounded organelle1.724594.71 × 10−35
GO:CCIntracellular organelle1.2910871.05 × 10−42
GO:CCIntracellular organelle lumen1.942753.97 × 10−27
GO:CCIntracellular protein-containing complex1.44894.68 × 10−3
GO:CCKinetochore2.89241.01 × 10−4
GO:CCLarge ribosomal subunit6.31513.76 × 10−26
GO:CCMembrane-bounded organelle1.269339.54 × 10−25
GO:CCMembrane-enclosed lumen1.942753.97 × 10−27
GO:CCMicrotubule cytoskeleton1.481114.41 × 10−4
GO:CCMicrotubule organizing center1.54601.02 × 10−2
GO:CCMitochondrial envelope2.13733.18 × 10−8
GO:CCMitochondrial inner membrane2.94602.55 × 10−12
GO:CCMitochondrial matrix3.48504.42 × 10−13
GO:CCMitochondrial membrane2.17694.32 × 10−8
GO:CCMitochondrial protein-containing complex3.58592.73 × 10−16
GO:CCMitochondrial proton-transporting ATP synthase complex6.43134.00 × 10−6
GO:CCMitochondrial proton-transporting ATP synthase complex, coupling factor F(o)5.9362.21 × 10−2
GO:CCMitochondrial respirasome5.6691.12 × 10−3
GO:CCMitochondrial ribosome3.68219.69 × 10−6
GO:CCMitochondrial small ribosomal subunit6.65128.40 × 10−6
GO:CCMitochondrion2.392356.18 × 10−36
GO:CCMitotic spindle2.16174.58 × 10−2
GO:CCNon-membrane-bounded organelle1.724602.54 × 10−35
GO:CCNuclear chromosome1.95223.89 × 10−2
GO:CCNuclear lumen1.852246.28 × 10−19
GO:CCNuclear protein-containing complex1.601367.62 × 10−7
GO:CCNucleolus2.34761.62 × 10−10
GO:CCNucleoplasm1.801691.02 × 10−12
GO:CCNucleus1.365612.14 × 10−17
GO:CCOrganellar ribosome3.68219.69 × 10−6
GO:CCOrganellar small ribosomal subunit6.65128.40 × 10−6
GO:CCOrganelle1.2611009.05 × 10−39
GO:CCOrganelle envelope1.931042.99 × 10−9
GO:CCOrganelle inner membrane2.73641.16 × 10−11
GO:CCOrganelle lumen1.942753.97 × 10−27
GO:CCOxidoreductase complex4.24194.39 × 10−6
GO:CCpICln-Sm protein complex9.8958.41 × 10−3
GO:CCPreribosome2.74201.16 × 10−3
GO:CCProteasome core complex6.2395.43 × 10−4
GO:CCProtein–DNA complex1.72653.03 × 10−4
GO:CCProtein-containing complex1.545705.76 × 10−32
GO:CCProton-transporting ATP synthase complex6.21135.94 × 10−6
GO:CCProton-transporting ATP synthase complex, coupling factor F(o)5.1963.99 × 10−2
GO:CCProton-transporting two-sector ATPase complex3.58156.27 × 10−4
GO:CCReplication fork3.53132.44 × 10−3
GO:CCRespirasome5.25113.03 × 10−4
GO:CCRespiratory chain complex5.86111.01 × 10−4
GO:CCRespiratory chain complex IV5.7079.06 × 10−3
GO:CCRibonucleoprotein complex3.781775.05 × 10−54
GO:CCRibosomal subunit7.04931.92 × 10−53
GO:CCRibosome6.681084.42 × 10−59
GO:CCSmall nuclear ribonucleoprotein complex3.64155.33 × 10−4
GO:CCSmall ribosomal subunit8.11413.74 × 10−26
GO:CCSmall-subunit processome2.77123.26 × 10−2
GO:CCSpindle2.33454.67 × 10−6
GO:CCSpliceosomal complex2.45371.52 × 10−5
GO:CCSpliceosomal snRNP complex3.59141.12 × 10−3
GO:CCSpliceosomal tri-snRNP complex4.47102.72 × 10−3
GO:CCTranslation preinitiation complex9.5991.15 × 10−5
GO:CCTricarboxylic acid cycle heteromeric enzyme complex6.9253.76 × 10−2
Molecular Function
GO:MFATP-dependent activity, acting on DNA2.32231.60 × 10−2
GO:MFNAD binding3.78175.51 × 10−4
GO:MFNAD+ binding6.2272.33 × 10−2
GO:MFRNA binding2.371826.82 × 10−26
GO:MFAminoacyl-tRNA ligase activity5.08205.57 × 10−7
GO:MFBinding1.059992.45 × 10−2
GO:MFCatalytic activity1.135539.04 × 10−3
GO:MFCatalytic activity, acting on DNA2.07382.37 × 10−3
GO:MFCatalytic activity, acting on RNA1.89511.40 × 10−3
GO:MFCatalytic activity, acting on a nucleic acid1.91877.53 × 10−7
GO:MFCatalytic activity, acting on a tRNA3.17298.40 × 10−6
GO:MFElectron transfer activity5.21111.73 × 10−3
GO:MFHeterocyclic compound binding1.242478.80 × 10−3
GO:MFIdentical protein binding1.77675.59 × 10−4
GO:MFIsomerase activity2.20289.04 × 10−3
GO:MFLigase activity2.63456.96 × 10−7
GO:MFLigase activity, forming carbon-oxygen bonds5.08205.57 × 10−7
GO:MFmRNA binding1.99422.32 × 10−3
GO:MFNucleic acid binding1.493402.94 × 10−13
GO:MFNucleoside phosphate binding1.252369.04 × 10−3
GO:MFNucleotide binding1.252369.04 × 10−3
GO:MFOrganic cyclic compound binding1.305449.27 × 10−12
GO:MFOxidoreductase activity1.61963.56 × 10−4
GO:MFOxidoreductase activity, acting on NAD(P)H3.71121.38 × 10−2
GO:MFOxidoreductase activity, acting on NAD(P)H, quinone or similar compound as acceptor5.6981.42 × 10−2
GO:MFOxidoreductase activity, acting on the CH-NH group of donors, NAD or NADP as acceptor6.6371.60 × 10−2
GO:MFProton transmembrane transporter activity2.41202.45 × 10−2
GO:MFrRNA binding6.56243.02 × 10−11
GO:MFSingle-stranded DNA binding2.84171.33 × 10−2
GO:MFStructural constituent of ribosome7.30951.45 × 10−55
GO:MFStructural molecule activity2.261251.73 × 10−15
GO:MFTranslation elongation factor activity5.5374.38 × 10−2
GO:MFTranslation factor activity, RNA binding4.28252.61 × 10−7
GO:MFTranslation initiation factor activity4.37161.74 × 10−4
GO:MFTranslation regulator activity3.92321.15 × 10−8
GO:MFTranslation regulator activity, nucleic acid binding3.93265.88 × 10−7
Table 6. Significantly enriched KEGG pathways from DEGs identified at 12 and 24 hpi (results from the DAVID online resource).
Table 6. Significantly enriched KEGG pathways from DEGs identified at 12 and 24 hpi (results from the DAVID online resource).
Time PointRegulationKEGG TermDEG CountFold Enrichmentp-Value
(Adjusted)
12 hpiDownRibosome806.683.16 × 10−49
12 hpiDownOxidative phosphorylation373.221.08 × 10−8
12 hpiDownDNA replication186.011.09 × 10−8
12 hpiDownRibosome biogenesis in eukaryotes274.031.09 × 10−8
12 hpiDownSpliceosome302.501.25 × 10−4
12 hpiDownNucleocytoplasmic transport222.291.00 × 10−2
12 hpiDownBase excision repair133.101.13 × 10−2
12 hpiDownMismatch repair94.291.13 × 10−2
12 hpiDownNucleotide excision repair142.861.29 × 10−2
12 hpiUpSteroid biosynthesis106.141.65 × 10−3
12 hpiUpAutophagy—animal292.342.12 × 10−3
12 hpiUpCell cycle272.303.90 × 10−3
12 hpiUpInfluenza A222.134.74 × 10−2
24 hpiDownRibosome885.542.81 × 10−49
24 hpiDownOxidative phosphorylation503.282.71 × 10−13
24 hpiDownCarbon metabolism392.981.08 × 10−8
24 hpiDownAminoacyl-tRNA biosynthesis223.781.10 × 10−6
24 hpiDownBiosynthesis of amino acids243.022.50 × 10−5
24 hpiDownCitrate cycle (TCA cycle)154.362.50 × 10−5
24 hpiDownDNA replication153.781.93 × 10−4
24 hpiDownSpliceosome332.081.09 × 10−3
24 hpiDownMetabolic pathways2251.223.04 × 10−3
24 hpiDownCell cycle361.893.04 × 10−3
24 hpiDownPropanoate metabolism123.247.53 × 10−3
24 hpiDownFatty acid degradation142.867.77 × 10−3
24 hpiDownGlycolysis/Gluconeogenesis172.421.19 × 10−2
24 hpiDownOne carbon pool by folate93.781.35 × 10−2
24 hpiDownNucleotide excision repair152.313.73 × 10−2
24 hpiDownPyruvate metabolism122.594.20 × 10−2
24 hpiUpSteroid biosynthesis115.151.92 × 10−3
24 hpiUpLysosome292.243.94 × 10−3
24 hpiUpTerpenoid backbone biosynthesis94.431.73 × 10−2
24 hpiUpGlycosaminoglycan biosynthesis—heparan sulfate/heparin103.901.73 × 10−2
24 hpiUpProtein processing in endoplasmic reticulum301.941.73 × 10−2
24 hpiUpAutophagy—animal301.853.19 × 10−2
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Quaye, A.; Pickett, B.E.; Griffitts, J.S.; Berges, B.K.; Poole, B.D. Turkey B Cell Transcriptome Profile During Turkey Hemorrhagic Enteritis Virus (THEV) Infection Highlights Upregulated Apoptosis and Breakdown Pathways That May Mediate Immunosuppression. Viruses 2025, 17, 299. https://doi.org/10.3390/v17030299

AMA Style

Quaye A, Pickett BE, Griffitts JS, Berges BK, Poole BD. Turkey B Cell Transcriptome Profile During Turkey Hemorrhagic Enteritis Virus (THEV) Infection Highlights Upregulated Apoptosis and Breakdown Pathways That May Mediate Immunosuppression. Viruses. 2025; 17(3):299. https://doi.org/10.3390/v17030299

Chicago/Turabian Style

Quaye, Abraham, Brett E. Pickett, Joel S. Griffitts, Bradford K. Berges, and Brian D. Poole. 2025. "Turkey B Cell Transcriptome Profile During Turkey Hemorrhagic Enteritis Virus (THEV) Infection Highlights Upregulated Apoptosis and Breakdown Pathways That May Mediate Immunosuppression" Viruses 17, no. 3: 299. https://doi.org/10.3390/v17030299

APA Style

Quaye, A., Pickett, B. E., Griffitts, J. S., Berges, B. K., & Poole, B. D. (2025). Turkey B Cell Transcriptome Profile During Turkey Hemorrhagic Enteritis Virus (THEV) Infection Highlights Upregulated Apoptosis and Breakdown Pathways That May Mediate Immunosuppression. Viruses, 17(3), 299. https://doi.org/10.3390/v17030299

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