Search Results (11,102)

NIN-like protein (NLP) transcription factors are key regulators of plant nitrate signaling and stress responses. Although extensively studied in Arabidopsis thaliana and various crops, it has rarely been reported in woody plants, particularly in drought-tolerant tree species. In this study, 10 PeNLP genes were identified in the drought-tolerant tree Populus euphratica Oliv. through comparative genomics. These genes were unevenly distributed across seven chromosomes, and the gene-family expansion was mainly driven by whole-genome duplication (WGD). Analysis of conserved domains showed that PeNLPs contained 4–10 characteristic motifs, and most members possessed the typical RWP-RK and PB1-related domains. Collinearity analysis identified 18 NLP orthologous gene pairs between P. euphratica and its relatives (Populus pruinosa and Salix sinopurpurea), which exceeded the 15 pairs detected between P. euphratica and A. thaliana, indicating that the NLP family is more conserved within the Salicaceae. Phylogenetic analysis divided PeNLPs into three subfamilies, and their promoter regions harbored diverse cis-acting elements associated with hormone signaling, environmental stress, growth, and light response. Transcriptome and qRT-PCR analyses further demonstrated that PeNLPs were generally downregulated under drought stress. Overall, this study systematically characterized the evolution, structure, and drought responsiveness of the PeNLPs, providing a theoretical basis and genetic resources for improving nitrogen use efficiency and drought resistance in trees. Full article

This study systematically evaluated the taxonomic relationship between Streptococcus taoyuanensis ST2^T and Streptococcus caecimuris CLAAV18^T. Comparative genomic analysis revealed a high 16S rRNA gene sequence similarity of 99.6%, with the two strains clustering closely in the 16S rRNA-based phylogenetic tree. The genetic relatedness was further validated by Multi-Locus Sequence Typing (MLST) analysis: assessments of seven conserved housekeeping genes (atpD, gapA, gyrB, GdhA, recA, dnaK, and sdhA) demonstrated complete concordance in target fragment lengths (ranging from 33 bp to 121 bp). No size polymorphisms, insertions, or deletions were detected, indicating a highly conserved core genome. At the whole-genome level, the Average Amino Acid Identity (AAI), Average Nucleotide Identity (ANI), and digital DNA-DNA hybridization (dDDH) values between the two strains were 96.8%, 95.7%, and 84.6%, respectively. These values significantly exceed the established thresholds for species delineation (AAI: 95.5%; ANI: 95%; dDDH: 70%), providing robust genomic evidence that both strains belong to the same species. Furthermore, phenotypic testing confirmed nearly identical physiological characteristics, with only minor biochemical variations. Based on the integration of phylogenetic, genomic, and phenotypic evidence, we formally propose Streptococcus taoyuanensis as a later heterotypic synonym of Streptococcus caecimuris. Full article

Background/Objectives: Having longer mesocotyls is beneficial for the deep-sowing tolerance of rice, which is important for seedling establishment. Methods: Here, we performed transcriptome analysis of the elongating mesocotyl of Zhengdao 209 in response to three different sowing depths to identify the pivotal genes regulating rice mesocotyl elongation. Results: Three groups with different mesocotyl lengths were compared using transcriptome analysis, and 60 common differentially expressed genes were detected. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that these genes are primarily involved in phenylpropanoid biosynthesis, cutin suberine and wax biosynthesis, the plant mitogen-activated protein kinase signaling pathway, diterpenoid biosynthesis, cyanoamino acid metabolism, carbon fixation in photosynthetic organisms, flavonoid biosynthesis, and glutathione metabolism. Furthermore, weighted gene co-expression network and hierarchical clustering analyses showed that most of the differentially expressed genes are implicated in phenylpropanoid biosynthesis, carbon metabolism, photosynthesis antenna proteins, and plant–pathogen interactions. Among the genes involved in phenylpropanoid biosynthesis processes, the expression levels of OsPHT3 and LOC_Os04g59260 increased, while OsCCR1, OsPGIP4, and LOC_Os01g45110 expression decreased with increasing sowing depth. Among the genes involved in the mitogen-activated protein kinase signaling pathway, the expression levels of LOC_Os07g03319 and LOC_Os07g03580 increased, while LOC_Os07g03409 decreased with increasing sowing depth. Among the genes involved in diterpenoid biosynthesis processes, the expression levels of OsCYP76M5 and OsCYP71Z2 decreased, while OsCYP71Z21 increased with increasing sowing depth. Furthermore, the expression levels of these genes were analyzed using quantitative real-time polymerase chain reaction, which confirmed the transcriptome analysis results. Conclusions: This study identified candidate genes governing rice mesocotyl length and provides novel insights into the molecular regulatory mechanisms underlying mesocotyl elongation in rice. Full article

Early and recent studies have demonstrated that exposure to moonlight influences the entire life cycle of plants from seed germination to vegetative growth and reproduction. Exposure to moonlight was found to induce genome reorganization in plants and significant changes in gene expression, protein, and metabolite profiles. However, the specific factors that facilitate moonlight perception are unknown. To uncover the photoreceptors responsible for moonlight perception, we analyzed Arabidopsis phototropin mutants (phot1, phot2, and phot1phot2) as well as the phytochrome mutants phyA and phyB for their response to full moonlight (FML). De-etiolation assays revealed that plants do perceive and respond to FML within 5 h of exposure. Thus, among the photoreceptor mutants analyzed, only phot1 and phot1phot2 were impaired in apical hook opening and cotyledon unfolding under FML. Interestingly, under high light intensity, all examined mutants underwent proper de-etiolation. Further analysis showed that phot1 as well as phyB mutants were impaired in response to moonlight, displaying no changes in nuclear size and in protein profiles following exposure to FML and were comparable to plants exposed to dark. The FML (5 h exposure) did not induce the formation of fewer, large nuclear photobodies, as occurred following 5 h exposure to growth-room light. Our findings highlighted phot1 and phyB as photoreceptors necessary for plants to perceive and respond to FML. It is proposed that the initial perception of moonlight is facilitated by the blue-light receptor phot1 and is subsequently interpreted into a functional state by the R/FR receptor phyB. Full article

Autophagy-mitophagy pathways are essential for regulating immune homeostasis. However, their contribution to population-level chronic low-grade systemic inflammation (SI) remains unclear. The objective was to investigate the association between variation in the genes related to the autophagy-mitophagy pathways and SI, and to examine whether lifestyle factors modify this relationship. We conducted genome-wide association studies and gene-set enrichment analyses using data from the Korean Genome and Epidemiology Study (KoGES, n = 28,102) and UK Biobank (UKBB, n = 343,892). SI was defined as an elevated white blood cell count or high-sensitivity C-reactive protein. Using Core Longevity State Vectors (CLSVs)—gene sets representing immune-longevity pathways derived from comparative transcriptomic analysis—we tested six pathways and constructed a weighted genetic risk score (GRS) from significant variants. Gene–lifestyle interactions were examined with respect to major dietary and lifestyle factors. Among six CLSVs, only CLSV-2 (mitophagy and autophagy) showed a significant association with SI (β = 0.425, p = 0.008). Six single nucleotide polymorphisms (SNPs) in autophagy-mitophagy genes (INPP5D, ATG16L1, ATG7, AP3S1, OPTN, and VPS33A) were associated with SI in KoGES (p < 5 × 10⁻⁵), and ten SNPs (genes selected in KoGES plus RAB7A, ATG12, VPS33A, BECN1) reached genome-wide significance in UKBB (p < 5 × 10⁻⁸). A higher GRS was associated with increased SI in both cohorts and was strongly associated with metabolic syndrome (MetS, OR = 1.91 in KoGES; OR = 1.62 in UKBB). SI was characterized by neutrophilia with relative lymphopenia. In UKBB, significant gene–lifestyle interactions were observed for diet, physical activity, smoking, and alcohol (p < 0.01). Favorable lifestyle factors reduced SI most effectively in individuals with protective genotypes. Among individuals with a high vegetable/fruit intake, SI prevalence was 35%, 36%, and 38% in the negative-, zero-, and positive-GRS groups, respectively, compared with 36%, 45%, and 48% in the low-intake groups. In conclusion, genetic variations in autophagy-mitophagy pathways specifically influence SI. Genetic predisposition substantially modifies the benefits of lifestyle, underscoring the importance of integrating genetic and lifestyle factors in understanding SI susceptibility. Full article

Lodging is a major constraint to rice productivity and grain quality. The mechanical strength of basal internodes, particularly bending resistance (BDR), is a critical determinant of lodging resistance. In this study, we evaluated the BDR of the third and fourth basal internodes (BDR3 and BDR4) in a diverse panel of 340 rice accessions. A genome-wide association study (GWAS) identified three QTLs significantly associated with BDR3, which were defined and designated as qBDR1, qBDR4, and qBDR5. Further analysis revealed that OsWRKY102 on qBDR1 was identified as a key candidate gene. Haplotype analysis revealed distinct allelic variations between subspecies, with the elite haplotypes (Hap.1 and Hap.4) contributing to superior lodging resistance, while Hap.2 was predominantly found in lodging-susceptible Japonica accessions. CRISPR/Cas9-mediated knockout of OsWRKY102 in the ZH11 background resulted in a significant reduction of more than 50% in both BDR3 and BDR4 compared to the wild type. Detailed phenotypic characterization of the oswrky102 mutants revealed a substantial decrease in cellulose content and culm diameter, accompanied by an increase in culm wall thickness. These findings demonstrate that OsWRKY102 maintains culm mechanical strength by promoting radial expansion and cellulose accumulation. Biomechanical analysis further suggests that culm diameter and cellulose content are more critical for bending strength than wall thickness. Our results elucidate the regulatory role of OsWRKY102 in coordinating culm morphology and cell wall composition, providing a valuable genetic target for molecular breeding of high-yielding, lodging-resistant rice varieties. Full article

Melanoma is characterized by a high mutational burden making it an established model for studying tumor neoantigens and developing strategies for personalized immunotherapy. In this study, a reproducible bioinformatics pipeline was developed and implemented for the identification and prioritization of candidate neoantigens derived from non-synonymous somatic mutations in melanoma, using genomic data from the MSK-IMPACT cohort (mel-mskimpact-2020; n = 696) and comparative reference information from TCGA-SKCM. From the somatic mutation annotation file (MAF), 16,311 non-synonymous mutations were filtered, from which 50,480 mutant 8–11-mer peptides were generated using a sliding-window approach centered on the mutated position. Peptide–HLA class I binding affinity was predicted using MHCflurry 2.0 across six representative alleles (HLA-A*02:01, HLA-A*24:02, HLA-B*35:01, HLA-B*39:05, HLA-C*04:01, and HLA-C*07:02). Candidate prioritization was initially based on predicted binding percentile (rank ≤ 2), identifying 12,209 peptide–HLA combinations with high predicted binding affinity. To refine candidate selection, additional computational analyses were incorporated, including proteasomal cleavage prediction using NetChop 3.1 and estimation of T-cell epitope immunogenicity using the Immune Epitope Database (IEDB) immunogenicity predictor. Furthermore, a direct comparison between mutant (MUT) and corresponding wild-type (WT) peptides was performed using Δaffinity and Δrank metrics to evaluate the predicted impact of somatic mutations on HLA binding. The analysis revealed a predominance of peptides associated with the HLA-B locus, particularly the allele HLA-B*35:01, among the interactions with the lowest predicted binding percentiles. Several high-ranking peptide candidates were derived from genes with known roles in melanoma biology, including PLCG2, GATA3, AKT1, PTEN, PTCH1, and SMO. Overall, the integrative computational framework implemented in this study enables the systematic prioritization of candidate neoantigens derived from non-synonymous mutations in melanoma. This pipeline provides a reproducible strategy for exploring tumor neoantigen repertoires and may serve as a foundation for subsequent experimental validation and for studies related to neoantigen-based immunotherapies and immunopeptidomics. Full article

To better understand the complexity of biological systems, research has shifted from a reductionist to a holistic approach, expanding the focus from single genes to a genome-scale view of gene activity and regulation. This is known as transcriptomics, a continuously growing field generating gene expression signatures from different technologies. A comparable paradigm shift has occurred in computational systems biology with the implementation of Artificial Intelligence (AI) learning models for gene expression analysis and integration. These models enable transcriptome-based profiling to address challenges of data heterogeneity, integration, and updating, assisting human intelligence and enhancing their ability to retrieve, analyze, integrate, and generate data recursively, thanks to their intrinsic predictive, inferential, reinforcement, and generative capabilities. Additionally, while scientists worldwide are still learning how to leverage AI methods that can maintain the human-in-the-loop, a new fundamental change is emerging: agentic AI, which can autonomously act and employ other AI methods to pursue its objectives. As a futuristic perspective, the proposed data analysis pipeline imagines agentic AI systems allowing the automated retrieval and pre-processing of heterogeneous transcriptomics data, analysis and integration with other omics datasets, performed with an incremental updating and recurrent analysis (IURA) model that could allow the detection of guideline updates (e.g., disease reclassification) and the generation of new hypotheses, such as candidate biomarkers or transcriptome–phenotype correlations. Since personalized medicine could derive profound benefits from its use, this scenario also raises important considerations regarding the advantages and concerns associated with the use of scientific AI agents in research and clinical practice. Full article

Canker and dieback diseases caused by fungal pathogens represent an increasing threat to woody plants in both urban and forest environments, where sustainable management options are urgently needed. In this study, the biocontrol potential of Bacillus strain N1 was investigated against Neofusicoccum parvum and Gnomoniopsis smithogilvyi, causal agents of canker diseases on Eucalyptus globulus and Castanea sativa, respectively. The whole-genome sequence confirmed the taxonomic identification of strain N1 as B. velezensis, showing high average nucleotide identity and digital DNA–DNA hybridization values with reference strains. AntiSMASH analysis revealed the presence of multiple biosynthetic gene clusters associated with the production of antimicrobial secondary metabolites, including polyketides, non-ribosomal peptides, and lipopeptides, reflecting strain N1’s genomic potential to produce compounds that may contribute to its antifungal activity. Moreover, B. velezensis strain N1 significantly inhibited the growth of N. parvum and G. smithogilvyi and showed a biocontrol efficacy on detached eucalyptus and chestnut shoots. In both preventive and curative treatments and pathosystems, the application of B. velezensis N1 resulted in a significant reduction in the length of necrotic lesions, compared to pathogen-only controls, while no phytotoxic effects were observed on treated shoots. Overall, this study supported B. velezensis N1 as a promising candidate for the sustainable control of canker-associated pathogens in woody plants. Full article

Chryseobacterium indologenes MA9 is a causative agent of root rot disease in Panax notoginseng (P. notoginseng), with its high incidence being a major manifestation of continuous cropping barriers, severely hindering the sustainable development of the P. notoginseng industry. In this study, a novel lytic bacteriophage, MA9V-3, was isolated from wastewater, targeting C. indologenes MA9. The phage produced clear plaques, ranging from 1 to 3 mm in diameter, with a surrounding halo. Phage MA9V-3 achieved an adsorption rate of up to 80% after 30 min of contact with C. indologenes MA9, a latent period of approximately 40 min, and an average burst-size if 160 PFU/cell. Transmission electron microscopy revealed that phage MA9V-3 possesses an icosahedral head and a contractile tail, exhibiting a typical myovirus-like morphology. According to the latest ICTV taxonomy, MA9V-3 belongs to the class Caudoviricetes, and the phage’s biocontrol efficacy and inhibitory capacity were evaluated at different multiplicity of infection (MOI s). The results showed that the highest titer recorded at 1.6 × 10¹⁰ PFU/mL. Whole-genome sequencing revealed that MA9V-3 is a double-stranded circular DNA virus, with a genome length of 103,203 bp, GC content of 34.29%, and 150 open reading frames (ORFs), one of which is related to tRNA. Only 13 of these ORFs encode known functional sequences, likely due to the limited available gene data for such phages in the database, with additional details on hypothetical proteins yet to be uncovered. Comparative database analysis confirmed that the phage genome contains no antibiotic resistance or toxin-related genes. Phage therapy experiments were performed using MA9V-3 and two other phages screened in our laboratory. The experimental results showed that phage MA9V-3 may be a potential candidate for effectively controlling the infection of Panax notoginseng by C. indologenes MA9, and offering valuable insights into the potential application of phage therapy for managing bacterial plant diseases. Full article

Drought is a major constraint on crop productivity, and microbial inoculants are increasingly explored to mitigate plant water stress. However, most inoculant discovery pipelines rely on trait-based screening performed outside the ecological context in which beneficial plant-microbe interactions naturally arise. In natural soils, drought-exposed plants can reshape the rhizosphere environment by altering carbon allocation and root exudation, thereby selectively recruiting microorganisms compatible with water-limited conditions and effectively performing an ecological pre-selection. Here, we captured this process during early seedling establishment and leveraged drought-driven rhizosphere recruitment as a nature-guided strategy to nominate bacterial inoculant candidates. Tomato seedlings were grown in natural agricultural soil microcosms under well-watered and drought-stressed regimes, and cultivable bacteria were comparatively isolated from rhizosphere and bulk soil fractions. Recruitment-prioritized isolates were subsequently characterized through biochemical assays and genome-informed analyses to provide functional and taxonomic context and were evaluated in early inoculation assays under water stress. Drought-recruited isolates displayed distinct plant-associated responses, and genome-scale taxonomy indicated that one drought-associated isolate represents a genomically distinct lineage within the genus Paracoccus. Together, these findings highlight drought-driven rhizosphere recruitment as an ecologically grounded framework for identifying stress-compatible bacterial candidates and uncovering previously undescribed rhizosphere diversity. Full article

Endometriosis affects approximately 10% of reproductive-age women and is associated with genomic instability; however, the contribution of specific DNA repair deficiencies remains poorly understood. This study investigated the expression and function of GEN1, a Holliday junction resolvase critical for homologous recombination, in patient-derived endometrial epithelial organoids (EEOs). Endometrial tissue was obtained by pipelle biopsy from women with laparoscopically confirmed endometriosis (n = 3, stage III–IV) and controls without endometriosis (n = 3). GEN1 mRNA and protein expression were reduced in primary endometrial cells from endometriosis patients compared with controls (mRNA: 0.52 ± 0.14 vs. 1.00 ± 0.19, p = 0.05; immunofluorescence intensity: 0.54 ± 0.18 vs. 1.00 ± 0.22, p = 0.05). Patient-derived EEOs from the endometriosis group showed trends toward lower formation efficiency (18.4 ± 5.6% vs. 25.2 ± 6.8%, p = 0.10) and reduced mean diameter (124.6 ± 34.2 vs. 155.8 ± 32.6 µm, p = 0.10). RNA interference (RNAi)-mediated GEN1 knockdown reduced proliferation in both groups, with a more pronounced effect in endometriosis-derived EEOs (49.7% vs. 39.5% reduction, p = 0.05). Endometriosis-derived EEOs exhibited elevated baseline γH2AX (phosphorylated histone H2AX) immunofluorescence compared with controls (2.32 ± 0.44 vs. 1.00 ± 0.28, p = 0.05), indicating increased DNA double-strand break accumulation. Furthermore, GEN1 knockdown directly increased γH2AX intensity in both groups, with endometriosis-derived EEOs showing a greater absolute increase (Δ1.26 vs. Δ0.72). To our knowledge, this study provides the first organoid-based evidence that GEN1 is downregulated in endometriosis and functionally linked to impaired proliferation and elevated DNA damage, suggesting a potential contribution of homologous recombination dysregulation to endometriosis pathogenesis. Full article

Background/Objectives: FcγRIIIA presents a single nucleotide polymorphism at position 158 (V/F), which affects its binding affinity to the fragment crystallizable (Fc) of antibodies (Abs). In the presence of immune complexes, FcγRIIIA can mediate the inflammatory signaling, severity of bone disease, and osteoclastogenic activity. Based on this functional relevance, we hypothesized that the FcγRIIIA F158V polymorphism may influence the clinical presentation of multiple myeloma (MM). Methods: FcγRIIIA F158V genotyping was performed on genomic DNA extracted from peripheral blood samples of patients affected by MM or asymptomatic conditions named MGUS and SMM. We compared the allele frequency of FcγRIIIA-F158V polymorphism in 72 MM, 42 MGUS and 31 SMM and evaluated the association with clinical features and occurrence of high-risk chromosome abnormalities. Targeted NGS mutation analysis was performed on genomic DNA isolated from purified CD138⁺ bone marrow plasma cells (BMPCs) of 41 patients, to evaluate the association between somatic mutations and the FcγRIIIA F158V genotype. Results: the FcγRIIIA-158 V/V homozygous genotype was associated with high-risk cytogenetics, anemia, high beta-2 microglobulin levels, and more than 10 osteolytic lesions. V/V homozygous genotype was significantly associated with at least one mutation in RAS pathway genes (N-RAS, K-RAS or B-RAF). In the immune microenvironment, patients carrying the V/V homozygous genotype had a higher percentage of CD14⁺CD16⁺⁺ non-conventional inflammatory monocytes than the V/F or FF genotype. Conclusions: Our study contributes to a better understanding of the interactions between genetic variants, tumor microenvironment, and therapeutic response in plasma cell dyscrasias, to identify molecular biomarkers for precision medicine in MM, MGUS and SMM. Full article

Inbreeding is a quantitative measure of autozygosity that underlies the assessment of genetic risks and the management of genetic progress in livestock populations. The development of methods for its estimation reflects a transition from probabilistic pedigree-based models to the direct analysis of genome structure. This review systematizes the evolution of approaches to inbreeding assessment—from the classical inbreeding coefficient F based on identity by descent (IBD) to marker-based, segment-based runs of homozygosity (ROH) and probabilistic homozygous-by-descent (HBD) models. It is shown that the coefficients F_ped, F_GRM, F_ROH, and F_HBD capture related but distinct aspects of autozygosity and are therefore not fully interchangeable. Particular attention is paid to the transition from integral indicators to spatially and temporally stratified analyses of autozygosity, enabling the differentiation between ancient and recent inbreeding. Methodological assumptions, limitations, and the sensitivity of various approaches to marker density, detection parameters, and population demographic structure are discussed. A comparative analysis of methods for calculating F_ROH and segment-based autozygosity is presented. The necessity of a comprehensive assessment of inbreeding and the standardization of analytical protocols for its application in modern breeding programs is substantiated. Full article

WD repeat and HMG-box DNA-binding protein 1 (WDHD1) has been identified as a crucial oncogene in various tumors, but its role in pancreatic cancer remains unexplored. This study investigated the mechanisms by which WDHD1 contributes to pancreatic cancer progression. Differential analysis of the Cancer Genome Atlas (TCGA) pancreatic cancer samples identified abnormally expressed genes. Cellular assays, including cell proliferation, flow cytometry, and apoptosis assays, demonstrated WDHD1’s oncogenic role. WDHD1 expression was significantly elevated in pancreatic cancer cells and tissues compared to normal counterparts. Knockdown of WDHD1 inhibited cell proliferation, induced apoptosis, and caused G1-phase cell-cycle arrest. In vivo xenograft models further validated that WDHD1 knockdown suppressed the growth of pancreatic cancer cells. Mechanistically, WDHD1 knockdown resulted in significant reductions in CDK4 and cyclin D1 protein levels, whereas WDHD1 overexpression produced the opposite effects. Additionally, E2F1 overexpression increased the expression of WDHD1 at both mRNA and protein levels. Rescue experiments revealed that WDHD1 knockdown could reverse the E2F1-induced upregulation of CDK4 and cyclin D1 protein levels. In conclusion, E2F1 promotes pancreatic cancer cell proliferation and cell-cycle progression by upregulating WDHD1, which in turn enhances the expression of the CDK4–cyclin D1 complex. Full article