Next Article in Journal
Novel LYST Variants Lead to Aberrant Splicing in a Patient with Chediak–Higashi Syndrome
Previous Article in Journal
Genome-Wide Identification and Comprehensive Analysis of the PPO Gene Family in Glycine max and Glycine soja
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genome-Wide Identification and Characterization of HSP70 Gene Family in Tausch’s Goatgrass (Aegilops tauschii)

1
College of Life Science, Qingdao Agricultural University, Qingdao 266109, China
2
College of Horticulture, Qingdao Agricultural University, Qingdao 266109, China
3
Haidu College Qingdao Agricultural University, Qingdao 266603, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2025, 16(1), 19; https://doi.org/10.3390/genes16010019
Submission received: 28 November 2024 / Revised: 18 December 2024 / Accepted: 19 December 2024 / Published: 26 December 2024
(This article belongs to the Section Plant Genetics and Genomics)

Abstract

:
Background: Aegilops tauschii, a winter annual grass weed native to Eastern Europe and Western Asia, has become a widespread invasive species in the wheat-growing regions of China due to its high environmental adaptability. This study aims to explore the molecular mechanisms underlying the stress resistance of Tausch’s goatgrass, focusing on the HSP70 gene family. Methods: A genome-wide analysis was conducted to identify and characterize the HSP70 gene family in A. tauschii. Afterward, their physicochemical properties, phylogenetic relationships, gene structures, and chromosomal distributions were analyzed. Additionally, cis-acting regulatory elements were predicted to understand their potential role in stress resistance. Results: A total of 19 identified HSP70 family genes were classified into four subfamilies and distributed across all chromosomes. The syntenic analysis revealed extensive homology between Tausch’s goatgrass and wheat HSP70 genes. Segmental duplication was found to play a crucial role in the expansion of the HSP70 gene family. The prediction of cis-acting elements suggested that these genes are involved in stress resistance to various environmental conditions. Conclusions: This study provides a comprehensive overview of the HSP70 gene family in A. tauschii, offering insights into their role in stress resistance and their potential application in understanding invasive species behavior and improving wheat resilience. Further research is needed to validate their functional roles in stress adaptation.

1. Introduction

Heat shock proteins (Hsps) are a conserved superfamily of molecular chaperones that play crucial roles in maintaining cellular protein homeostasis, particularly under stress conditions such as heat [1] and drought [2], cold [3]), salinity [4], and heavy metals [5]. Based on their molecular weight, Hsps are classified into several major families, including Hsp100, Hsp90, Hsp70, Hsp60, and small Hsp (<30 kDa) [6,7]. Among these, the 70-kDa heat shock proteins (Hsp70s) are one of the most conserved and extensively studied chaperone families across eukaryotes and prokaryotes organisms [8]. The Hsp70 proteins typically consist of two key functional domains: an amino (N)-terminal ATPase domain and a carboxyl (C)-terminal peptide-binding domain [9]. These domains allow Hsp70 to facilitate the folding, refolding, and transport of nascent and denatured proteins, ensuring proper protein conformation and preventing irreversible aggregation under stress [8,10,11]. By participating in protein quality control and cellular stress responses, Hsp70s act as essential regulators of protein homeostasis, playing critical roles in plant adaptation to adverse environmental conditions [8,11,12].
A. tauschii (Tausch’s goatgrass), the donor of the D-genome in hexaploidy bread wheat (Triticum aestivum L.), played a pivotal role in the evolution of modern bread wheat through hybridization with tetraploid emmer wheat approximately 8000 years ago [13,14,15]. Geographically, A. tauschii is predominantly distributed across the Mediterranean shoreline, Southern Europe, Northern Africa, the Middle East, and Southwest Asia [16]. Over time, its range has expanded to other regions, including China, where it has become a problematic invasive species in wheat fields due to its exceptional environmental adaptability [17]. A. tauschii demonstrates notable resilience to abiotic stresses, including reduced osmotic potential, elevated salinity, and extreme temperature fluctuations, which enables it to thrive in diverse environments [18]. This high adaptability makes A. tauschii not only a valuable resource for studying stress tolerance mechanisms but also a competitive weed that impacts wheat productivity by competing for essential resources such as nutrients, water, and light [19,20,21]. Given its ecological significance, understanding the molecular mechanisms underlying A. tauschii’s stress resilience is essential for both agricultural weed management and the improvement of wheat stress tolerance.
Although the HSP70 gene family has been widely characterized in many plants, including crops, little is known about its roles in stress tolerance and environmental adaptability in A. tauschii. Given the ecological significance of A. tauschii as a highly adaptable wild wheat relative, understanding the molecular mechanisms underlying its stress resilience is essential. The identification and characterization of the HSP70 gene family in A. tauschii may provide new insights into its ability to withstand harsh environmental conditions, which can further inform strategies to mitigate its spread and improve wheat stress resistance.
While the HSP70 gene family has been extensively characterized in several plant species [22,23,24], limited information is available regarding its diversity, structure, and function in A. tauschii. In this study, we performed a comprehensive genome-wide identification and characterization of the HSP70 gene family in A. tauschii. Specifically, we analyzed their chromosomal locations, gene structures, phylogenetic relationships, conserved domains, synteny, and cis-acting regulatory elements. This study aims to provide a foundation for further functional investigations into the roles of Hsp70s in stress tolerance and their potential applications in agriculture. Understanding the Hsp70 family in A. tauschii may not only reveal key mechanisms of environmental adaptability but also contribute to developing strategies for enhancing stress resilience in wheat and other crops.

2. Materials and Methods

2.1. A. tauschii Characteristics

A. tauschii, an annual grass species belonging to the Poaceae family, is considered a weed. Propagated through seeds, A. tauschii exhibits robust tillering, averaging 10–20 tillers per plant, with the maximum exceeding 32. The growth cycle of A. tauschii features two germination peaks: one in the autumn, 15–20 days after wheat sowing, and another in the spring, from late February to March of the following year. A. tauschii matures 5–7 days earlier than wheat, shedding its rachis as it matures, leaving only the base’s 1–2 nodes [19]. Originating in Western Asia, A. tauschii is distributed across various provinces in China, demonstrating strong adaptability and the ability to grow in arid and saline-alkali soils. A. tauschii has a broad distribution, spanning the Eurasian continent, with Iran recognized as its center of genetic diversity and origin. In China, A. tauschii is primarily concentrated in the Xinjiang Ili region and the Yellow River basin [25].

2.2. Genome-Wide Identification of Hsp70 Family Members

Data resources of genome, proteome, and annotation of A. tauschii (Aet_v4.0 assembly) and Triticum aestivum (IWGSC assembly) were obtained from the EnsemblPlants (https://plants.ensembl.org, accessed on 3 April 2024). To identify the possible Hsp70 homologies in the whole genome, both the local application of BLAST for local sequence alignment and HMM for probabilistic modeling were employed [26]. The reviewed Hsp70 amino acid sequences of Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa) (Supplementary Table S1) were obtained from the TAIR (http://www.arabidopsis.org/, accessed on 5 May 2024) and UniProt (https://www.uniprot.org/, accessed on 5 May 2024) database, which were taken as a query to search for the potential Hsp70 sequences in A. tauschii via BLAST with a threshold of e-value = 1 × 10−10. In addition, the potential Hsp70 protein sequences were searched against the HMM profile of the Hsp70 domain (PF00012), downloaded from the Pfam (http://pfam-legacy.xfam.org/, accessed on 9 May 2024), via HMMER v3.2 (http://hmmer.org/, accessed on 6 June 2024) with the default setting. The protein sequences were identified as Hsp70 candidates with both BLAST and HMM approaches. After the removal of redundant sequences, the Hsp70 conserved domain was confirmed in the candidate protein sequences through SMART (http://smart.embl-heidelberg.de/, accessed on 10 June 2024).

2.3. Physicochemical Properties Analysis of Hsp70 Family Members

The identified non-redundant Hsp70 family protein information, including the length of the amino acid sequence, genomic sequences, and full CDS sequences, were extracted from the genome annotation file using TBtools v1.0 [27]. The molecular mass, isoelectric pH, and grand average hydropathy index, which are key physicochemical parameters for each Hsp70 protein sequence, were calculated via ExPASy (https://web.expasy.org/protparam/, accessed on 6 July 2024). The intracellular distribution of all identified Hsp70 proteins was predicted using the deep learning method in the DeepLoc v2.0 program [28].

2.4. Multiple Alignments and Phylogenetic Analysis of Hsp70 Proteins

The identified Hsp70 protein sequences of A. tauschii (AetHsp70) and wheat (TaHsp70), together with known Hsp70 in Arabidopsis (AtHsp70) and rice (OsHsp70), were aligned using ClusalW with default parameters. Phylogenetic trees were reconstructed using the neighbor-joining (NJ) method in the MEGAX program [29,30], and bootstrap tests were implemented using 1000 replications.

2.5. Gene Structure Analysis and Identification of Conserved Motifs

In order to delve into the variegated composition and structural intricacies of the group’s constituents, a thorough examination of Hsp70 was conducted to elucidate the diversity and structural intricacies within the gene family. We conducted a comparative analysis of exon-intron configurations to analyze the exon-intron structure of genes. We utilized the Gene Structure Display Server (GSDS) 2.0 (https://gsds.gao-lab.org/index.php, accessed on 25 July 2024), which facilitates the visualization of gene features such as exons, introns, and conserved elements [31], and visualized in TBtools v1.0 [27]. The conserved motifs were detected in MEME 5.0 [32,33]. The limits on minimum width, maximum width, and maximum counts for the identified motifs were designated as 6, 50, and 10, respectively.

2.6. Chromosomal Location and Syntenic Analysis

Positional information of predicted HSP70 genes was extracted from each genomic sequence and annotation file and then was visualized in TBtools v1.0 [27]. The identified Hsp70s were mapped to the chromosomes of A. tauschii and T. aestivum. Genomic comparisons were determined by all-against-all BLASTP searches (e-value = 1 × 10−10) using the proteome sequences of A. tauschii and T. aestivum as queries against these two species proteomes. Syntenic analysis between A. tauschii and T. aestivum for homologous HSP70 family genes was conducted using the MCScanX toolkit [34]. Meanwhile, the collinear of HSP70 family genes in A. tauschii and T. aestivum were tested. The syntenic analysis results were visualized using TBtools v1.0 [27].

2.7. Cis-Acting Element Prediction in Promoters

To assess the potential regulatory impact of various cis-acting elements within the promoter regions, we conducted a detailed analysis. AetHSP70 genes and promoter sequences within 2000 bp upstream were investigated from the genomic sequences, and the cis-acting regulatory elements in the regions were explored using the PlantCARE (http://nfix2008.psb.ugent.be/webtools/plantcare/html/, accessed on 20 August 2024) database [35]. Hence, the number of AetHsp70s contained in each of the predicted cis-acting elements was calculated.

3. Results

3.1. Identification of Hsp70 Family Members in A. tauschii

To extensively identify Hsp70 family members in A. tauschii, we performed a genome-wide scan using both BLAST and HMM profile searches. After checking the conserved domain in Hsp70 proteins using the SMART program, a total of 19 HSP70 family genes named AetHSP70-1 to AetHSP70-19 were identified in A. tauschii genome (Table 1). In parallel, 58 TaHSP70s (TaHSP70-1 to TaHSP70-58) were recognized in T. aestivum (Supplementary Table S2), which was approximately three times of AetHSP70s. Analyses of the physiological properties showed that the AetH70s encoding proteins consist of 575 (AetHSP70-14) and 737 (AetHSP70-7) amino acids. The molecular weights of AetHsp70s were between 61.89 kDa (AetHSP70-14) and 81.13 kDa (AetHSP70-7). Most of the AetHsp70 proteins, with the exception of one, demonstrated stability in vitro, and their isoelectric points (pI) were consistently determined. AetHsp70-7 (pI = 7.05) had low isoelectric points (pI < 7). The molecular weights of AetHsp70s were between 61.89 kDa (AetHSP70-14) and 81.13 kDa (AetHSP70-7). Most of the AetHsp70 proteins, with the exception of one, demonstrated stability in vitro, and their isoelectric points (pI) were consistently determined. AetHsp70-7 (pI = 7.05) had low isoelectric points (pI < 7). The molecular weights of AetHsp70s were between 61.89 kDa (AetHSP70-14) and 81.13 kDa (AetHSP70-7). Most of the AetHsp70 proteins, with the exception of one, demonstrated stability in vitro, and their isoelectric points (pI) were consistently determined. AetHsp70-7 (pI = 7.05) had low isoelectric points (pI < 7). The GRAVY value of all AetHsp70s was negative (−0.54–2.1), indicating that the AetHsp70 proteins were hydrophilic and suggesting that AetHsp70s might be possibly involved in tolerance to drought stress [36]. Subcellular localization prediction showed that the AetHsp70 proteins were differently located on the endoplasmic reticulum (6), followed by plastid (5), cytoplasm (4), and mitochondrion (4).

3.2. Phylogenetic Analysis of the Hsp70 Family Proteins

To assess the phylogenetic relationships and evolutionary pattern of Hsp70 family proteins, we conducted a phylogenetic analysis of 19 AetHsp70s in A. tauschii, 58 TaHsp70s in T. aestivum, 17 AtHsp70s in A. thaliana, and 8 OsHsp70s in O. sativa. A total of 102 Hsp70 amino acid sequences were aligned to generate an NJ tree (Figure 1). As a result, both phylogenetic analyses revealed that similar topologies and evolutionary structures partitioned the Hsp70 proteins into four major clades: Hsp70-I, Hsp70-II, Hsp70-III, and Hsp70-IV subfamilies. The subfamily Hsp70-III, the largest subfamily, encompassed 32 members, whereas the subfamily Hsp70-IV had 18. The members likely to be truncated were identified by aligning with the genomic DNA sequences of A. thaliana and O. sativa orthologs [37]. Meanwhile, the subfamily Hsp70-I comprised 28 members, and the subfamily Hsp70-II contained 24. The analysis of subcellular localization predictions indicated that the Hsp70 proteins encoded by the genes within the subfamily are likely to be localized in various cellular compartments. Hsp70-II was located in the endoplasmic reticulum and plastid. Cytoplasmic and mitochondrial HSP70 genes mainly clustered on the subfamilies Hsp70-I and Hsp70-III. In addition, the Hsp70 proteins of A. thaliana and O. sativa were found across all subfamilies. This distribution also suggested that each subfamily contained proteins with diverse cellular roles. AetHSP70 genes had orthologs in the genome of A. thaliana and O. sativa.

3.3. Structure of AetHSP70 Genes and Conserved Motifs of AetHsp70 Proteins

To explore the structural characteristics of the AetHSP70 gene family during its evolution, the conserved motifs on each AetHsp70 protein and the exon–intron organization of individual AetHSP70 genes were projected (Figure 2A). As the results have shown, a total of 10 conserved motifs were recognized, with the length of amino acids ranging from 29 to 50 amino acids (Figure 2B). The ten motifs were conserved and found in all AetHsp70 protein sequences except AetHsp70-14 and AetH70-15. Both the AetHsp70-14 and AetHsp70-15 belong to the Hsp70-IV subfamily. According to the amino acid sequence composition, motif 9 was absent in AetHsp70-14, and motif 8 was lost in AetHsp70-15. Consequently, the highly conserved protein structure of AetHspsp70s indicates their similar functions in A. tauschii. While some motif sequences changed slightly or the minority was lost, these features potentially enhanced their specialized biological roles.
Prediction of gene structure in AetHSP70s presented that the arrangement of exons and introns in the whole HSP70 gene family was complex. There were eight exons in AetHSP70-9, AetHSP70-14, and AetHSP70-15, but only one exon was found in AetHSP70-13. In addition, the number of introns in total genes ranged from 0 (AetHSP70-10, AetHSP70-11, and AetHSP70-13) to 7 (AetHSP70-15 and AetHSP70-15). Some of the AetHSP70s had fewer intron numbers displaying a longer exon phase. Based on the nucleotide sequence composition, we could find that some intron loss and gain events may have occurred during the structural evolution among the AetHSP70 genes in A. tauschii. Moreover, the dimensions and arrangement of the 3′ and 5′ untranslated regions (UTRs) exhibited diversity within the non-coding regions. Gene structural analysis revealed that while the structure of introns and UTRs varied significantly, the essential coding sequences remained consistent across all nucleotide sequences of HSP7 family genes in A. tauschii.

3.4. Chromosomal Distribution and Syntenic Analysis of HSP70 Genes

The chromosomal location of all identified HSP70 genes in A. tauschii and T. aestivum was considered based on the physical position of whole genes (Figure 3). Nineteen AetHSP70s were distributed across all chromosomes of A. tauschii, but the number of genes on each chromosome varied considerably. For the A. tauschii, chromosome 5D carried five AetHSP70s, including AetHSP70-2, AetHSP70-15, AetHSP70-16, AetHSP70-11, and AetHSP70-4. Then, chromosome 4D carried four AetHSP70s, and five other chromosomes had two AetHSP70s. For the T. aestivum, 58 TaHSP70s had non-random distribution across all chromosomes, with 19 in the D-genome, 17 in the A-genome, 21 in the B-genome, and 1 in the unmapped chromosome. The distribution of 19 TaHSP70 genes in the D-genome was identical to the orthologous AetHSP70 genes of A. tauschii. However, the AetHSP70-18 at 524.59 Mb on chromosome 4D has not been retained in T. aestivum; it may suggest that this gene was lost during allopolyploidization. The chromosomal positioning of HSP70s appears to have originated from extensive gene duplication events throughout evolutionary history.
To better understand the HSP70 gene family expansion and clustering, a comparative analysis of syntenic gene maps was performed in A. tauschii and T. aestivum. Between these two species, a total of 112,475 collinear genes were detected, which occupied 76.87% of whole genes and covered almost all chromosomes (Figure 4A). Among the HSP70 family genes, 17 AetHSP70s were shown to be syntenic with 43 TaHSP70s. Out of them, AetHSP70-19 (2D), AetHSP70-15 (5D), and AetHSP70-13 (7D) were collinear with TaHSP70-58 (2D), TaHSP70-46 (5D), and TaHSP70-39 (7D), respectively. Likewise, AetHSP70-6 of A. tauschii was discovered to be collinear with only TaHSP70-21 on chromosome 3B in wheat. With the exception of these four AetHSP70s, the other AetHSP70s were not only collinear with TaHSP70s on the D-genome but also showed collinearity with TaHSP70s on the A-genome and/or B-genome. For example, AetHSP70-14 on chromosome 1D was separately syntenic to TaHSP70-43 on chromosome 1A, TaHSP70-44 on chromosome 1B, and TaHSP70-45 on chromosome 1D.
We further identified three pairs of syntenic HSP70 genes in A. tauschii (Figure 4B) and 49 pairs of ones in T. aestivum (Figure 4C). In order to understand the expansion mechanism of the HSP70s, the gene duplication events (singleton, tandem, and segmental duplications) were investigated. Among all the AetHSP70s, AetHSP70-2, and AetHSP70-3, AetHSP70-6, AetHSP70-7, AetHSP70-6, and AetHSP70-8 were separately located in different collinear gene blocks as segmental duplications. Except for these five AetHSP70s, there were 11 HSP70 family members who were singleton without duplication in the A. tauschii genome. Compared to AetHSP70s, the syntenic pattern of TaHSP70s was more complex. One tandem TaHSP70 gene cluster was identified in the wheat genome, which was composed of TaHSP7-20 and TaHSP7-21. Of the 59 TaHSP70 family genes, the 52 ones that accounted for 88.14% were considered segmental duplications. It can be concluded that segmental duplication played a crucial role in the HSP70 family gene expansion, and AetHSP70s in A. tauschii were extensively homologous with TaHSP70s of wheat.

3.5. Cis-Acting Elements of the HSP70 Gene Promoter in A. tauschii

To evaluate the potential transcriptional regulation process of AetHSP70 genes, the 2000 bp upstream promoter sequences were extracted and used to identify the cis-acting elements (Figure 5). CAAT-box and TATA box were two ubiquitous elements in many eukaryotic promoters; they were also predicted in all AetHSP70s. In addition, all promoters of AetHSP70s contained the presence of MeJA-responsive elements, namely the TGACG-motif and CGTCA-motif, which suggests potential involvement in the regulation of gene expression in response to methyl jasmonate signaling. AetHSP70s played a key role in response to MeJA. Likewise, numerous light responsiveness elements widely existed in the promoters of AetHSP70s, which included G-box (19), I-box (13), TCT-motif (13), GATA-motif (12), TCCC-motif (11), GTGGC-motif (8), ACE (7), GT1-motif (6), and AE-box (6). Furthermore, we found five putative motifs related to hormone response, including abscisic acid (ABRE), auxin (TGA-element and AuxRR-core), gibberellin (GARE-motif and P-box), and salicylic acid (TCA-element and SARE) (Supplementary Table S3). It was noteworthy that five cis-acting elements related to biotic and abiotic stress were detected as well. The anaerobic induction element (ARE) was contained in the promoter regions of 17 AetHSP70s except for AetHSP70-5 and AetHSP70-10. More than half of the AetHSP70s have MYBs (15), which constituted an MYB binding site involved in drought-inducibility, and LTRs (11), a low-temperature responsiveness element. TC-rich repeats, known as defense and stress-responsive elements, were found to exist in the promoters of AetHSP70-1, AetHSP70-2, AetHSP70-7, AetHSP70-16, and AetHSP70-17, and a wound-responsive element (WUN-motif) was found only in AetHSP70-7 and AetHSP70-9. The results suggested that AetHSP70s may play a regulatory role in the signaling transduction processes of stress response and tolerance for adaption to different environments.

4. Discussion

The HSP70 family members, these ubiquitous molecular chaperones, are integral to a broad spectrum of cellular processes involving protein folding and remodeling. They operate throughout the entire lifespan, playing a pivotal role in preserving protein homeostasis, which has significant consequences for acclimatizing to fluctuating growth and stress conditions [38]. The HSP70 gene family, which encodes molecular chaperones, has been identified across a diverse range of plant species, highlighting its importance in various biological processes heretofore, including A. thaliana [39,40], O. sativa [41], Glycine max L. [2], Physcomitrella patens [42], Capsicum annuum L. [43], and Brassica oleracea [44]. The MdHSP70 gene family in apples plays a role in growth and development; and by regulating the expression of HSP70 genes, it enhances the tolerance of apples to abiotic stress [22]. CsHSP70 genes could be involved in how cucumbers react to hormonal signals and environmental stresses [23]. The expression of the ZmERD2, which encodes a member of the HSP70 family in corn, is induced by heat, high salinity, cold, polyethylene glycol, heat stress, and dehydration treatments [24]. The NtHSP70 family in tobacco plays a role in responding to a range of non-biological stress factors [45]. The HSP70 genes in cotton play a regulatory role in the signaling pathways that respond to plant stress [46]. The Hsp70 protein improves the ability of mango seedlings to adapt to low temperatures [47]. The Hsp70 protein plays a regulatory role in mitigating the effects of high-temperature stress on Porphyra yezoensis [48]. The Hsp70-5 protein from Pugionium cornutum boosts the ability of genetically modified Arabidopsis thaliana to withstand drought by increasing the expression of genes related to stress tolerance and the activity of antioxidant enzymes [49]. The Hsp70 protein plays a regulatory role in enhancing the resilience of tomato plants against heat, drought, and salt stress [50,51]. The clHSP70 gene in watermelon exhibits a range of responses to abscisic acid (ABA), drought conditions, and cold stress [52]. While research on the HSP70 gene family has been conducted across various plant species, there has been a notable lack of focus on weeds. In a significant step towards understanding the genetic basis of invasive weeds, eight heat shock-related unigenes were identified in the cDNA library of Centaurea maculosa, an invasive plant species. This discovery underscores the potential role of HSP70 genes in the adaptation and stress response mechanisms of this plant, which could be crucial for its invasive success [36]. HSP70 and HSP90 of Ageratina adenophora have been cloned and characterized to investigate the serious adaptation of this invasive alien weed [53].
In this study, we did a comprehensive genome-wide analysis of the HSP70 gene family in A. tauschi using the examination of physicochemical characteristics, evolutionary relationships, structural attributes, chromosomal locations, and syntenic analysis. Based on the analysis of subcellular localization, 19 AetHSP70s encoding proteins were identified in four cellular compartments, including cytosol, endoplasmic reticulum, mitochondria, and plastids. It was consistent with the subcellular distribution of HSP70s in other plants. Within the 21 Hsp70 proteins identified in pepper, 9 members shared similar localization to the cytosol, 3 to the endoplasmic reticulum, 1 to mitochondria, 1 to the chloroplast, 1 to the plasma membrane, and 6 members were located in more than one compartment [36]. According to the phylogenetic trees of Hsp70 proteins in A. tauschi, wheat, Arabidopsis, and rice, the Hsp70 family members were classified into four subfamilies. Integrating with protein structure analysis, it was found that the most closely related AetHSP70 members shared similar protein structures and motif numbers within the same subfamilies. Among the HSP70 family members in A. tauschi, some genes were found to have gained introns; in other words, some AetHSP70s have lost introns in the coding sequence. Generally, the variation in the number and placement of intron is a common process that has occurred during evolution [54]. The factors that determine the evolutionary fate of the intron count on the intron itself, the gene in which it exists, and the host organism [55]. Interestingly, a higher number of introns in rice can lead to higher expression levels by providing post-transcriptional stability for mRNA [56].
Using the same method, we also detected 58 TaHSP70s in T. aestivum, suggesting that the abundance of HSP70 family genes expanded and tripled, together with some duplicates, in hexaploid wheat after two polyploid ploidization events occurred [57]. The chromosomal location analysis represented both AetHSP70s and TaHSP70s are distributed across all chromosomes in A. tauschi and wheat, respectively. Syntenic gene, the genomic fragment analysis, which traces back to a common ancestor for various species, is primarily utilized for sharing gene annotations and unraveling the genomic evolution among related species [58]. A total of 43 pairs of syntenic HSP70 genes were identified between A. tauschi and T. aestivum. It is recognized that individual gene duplications, segmental chromosomal duplications, and entire genome duplications have been pivotal in shaping the architecture of plant genomes. These duplication events have significantly contributed to the genetic variation, potentially fostering the emergence of novel HSP70 functions or adaptations, enhancing stress response capabilities, and broadening the adaptability to diverse environmental conditions [59]. The previous research indicates that tandem duplications, characterized by the presence of multiple genes arrayed adjacently on the same chromosome, can be identified when two or more genes are found in close proximity. Conversely, segmental duplications are recognized by gene duplications that occur across different chromosomes, reflecting more extensive chromosomal segments involved in the duplication process. These duplication events contribute significantly to the expansion of gene families and the generation of genetic novelty within plant species [27]. In the potato genome, two pairs of HSP70 members were identified as segmental duplication genes, and three pairs were identified as tandem duplication genes [60]. In our analyses, five AetHSP70s were discovered to be segmental duplications, and the 11 ones were single genes in A. tauschi. Hence, the segmental duplication was the main source that contributed to the expansion of the HSP70 gene family in A. tauschi. For TaHSP70 genes, besides TaHSP70-20 and TaHSP70-21, which were considered tandem duplicated genes, most of the TaHSP70s belong to segmental duplications. After A. tauschi hybridized with emmer wheat to produce bread wheat, whole-genome triplication, followed by main segmental duplication and minor tandem duplication, played major roles in the expansion of the TaHSP70 gene family. Similar expansion patterns of HSP70s were detected in allotetraploid Brassica napus, which originated from the recent genetic fusion between Brassica rapa and Brassica oleracea. This process, known as interspecific hybridization, has been pivotal in the diversification of these species, leading to a rich genetic tapestry [61,62,63]. In theory, such redundancy might offer an expanded pool of genetic diversity, enabling the emergence of new Hsp70 variants or functions, enhancing stress response efficiency, and bolstering adaptability to diverse climatic conditions [64].
A. tauschii has a wide geographical and environmental adaption since it spread into western China and has rapidly invaded key winter wheat-growing provinces across the whole of China. The cis-acting elements prediction in the AetHSP70s detected numerous stress-related elements involved in drought-inducibility, low-temperature responsiveness, wound-responsive elements, and hormone-related elements, including abscisic acid, auxin, gibberellin, and salicylic acid-responsive elements. These results suggested that AetHSP70s could be involved in a variety of stress reactions and the transmission of hormonal signals through various pathways. Hence, Hsp70 chaperones engage in stress-responsive functions, including the inhibition of protein clumping, the dissolution of protein aggregates, the facilitation of misfolded or unfolded proteins’ refolding, and the collaboration with cellular clearance systems like autophagy and the ubiquitin-proteasome pathway to eliminate abnormal proteins and aggregates [38]. Consequently, the chaperones encoded by AetHSP70 family genes and the stress-resistant properties of A. tauschii are likely pivotal for its adaptability across diverse environmental conditions, potentially leading to significant ecological impacts, especially in the context of invasive plant species. These properties may underpin physiological and metabolic adaptations that enhance their competitive edge and resilience against environmental stressors.

5. Conclusions

This study provides a comprehensive characterization of the HSP70 gene family in A. tauschii. We identified 19 AetHSP70 genes, grouped into four subfamilies, and demonstrated extensive homology between A. tauschii and wheat HSP70 genes. These results suggest evolutionary conservation and potential functional similarities. The findings highlight the role of AetHSP70 genes in stress resistance and environmental adaptability. This work lays the foundation for future functional studies on the role of HSP70 genes in abiotic stress tolerance. Given A. tauschii’s ecological impact as an invasive species, our findings could aid in developing strategies to manage its spread. Additionally, these insights may be applied to enhance stress resilience in wheat and other crops. Future research should focus on validating gene functions under specific stress conditions and exploring their applications in crop improvement and pest management.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes16010019/s1, Table S1: Hsp70 proteins of A. thaliana (AtHsp70s) and O. sativa. (OsHsp70s) obtained from the TAIR and UniPro database. Table S2: Details of genome-wide identified Hsp70 family members in T. aestivum. Table S3: Details of all Cis-acting elements identified in the promoters of AetHsp70s.

Author Contributions

J.L. and Y.Y. conceived and supervised the project; Y.X. and J.L. performed most of the experiments; J.L. and Y.L. contributed bioinformatics platform; Y.X., J.L. and Y.L. analyzed the data. Y.X. and J.L. wrote the original manuscript. Y.X., J.L. and Y.Y. revised and improved the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

The National Natural Science Foundation of China (No. 31872650). The Youth Fund of Shandong Natural Science Foundation (No. ZR2020QC070).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to express sincere gratitude to The National Natural Science Foundation of China (No. 31872650) and The Youth Fund of Shandong Natural Science Foundation (No. ZR2020QC070) for their support.

Conflicts of Interest

There are no conflicts of interest to declare.

References

  1. Huang, Y.C.; Liu, C.C.; Li, Y.J.; Liao, C.M.; Vivek, S.; Chuo, G.L.; Tseng, C.Y.; Wu, Z.Q.; Shimada, T.; Suetsugu, N.; et al. Multifaceted roles of Arabidopsis heat shock factor binding protein in plant growth, development, and heat shock response. Environ. Exp. Bot. 2024, 226, 105878. [Google Scholar] [CrossRef]
  2. Zhang, L.; Zhao, H.K.; Dong, Q.L.; Zhang, Y.Y.; Wang, Y.M.; Li, H.Y.; Xing, G.J.; Li, Q.Y.; Dong, Y.S. Genome-wide analysis and expression profiling under heat and drought treatments of HSP70 gene family in soybean (Glycine max L.). Front. Plant Sci. 2015, 6, 773. [Google Scholar] [CrossRef]
  3. Shi, G.C.; Dong, X.H.; Chen, G.; Tan, B.P.; Yang, Q.H.; Chi, S.Y.; Liu, H.Y. Physiological responses and HSP 70 m RNA expression of GIFT strain of Nile tilapia (Oreochromis niloticus) under cold stress. Aquac. Res. 2015, 46, 658–668. [Google Scholar] [CrossRef]
  4. Zou, J.; Liu, C.; Liu, A.; Zou, D.; Chen, X. Overexpression of OsHsp17. 0 and OsHsp23. 7 enhances drought and salt tolerance in rice. J. Plant Physiol. 2012, 169, 628–635. [Google Scholar] [CrossRef]
  5. Kim, B.M.; Rhee, J.S.; Jeong, C.B.; Seod, J.S.; Parke, G.S.; Leef, Y.M.; Leea, J.S. Heavy metals induce oxidative stress and trigger oxidative stress-mediated heat shock protein (hsp) modulation in the intertidal copepod Tigriopus japonicus. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2014, 166, 65–74. [Google Scholar] [CrossRef] [PubMed]
  6. Li, Z.; Srivastava, P. Heat-Shock Proteins. Curr. Protoc. Immunol. 2003, 58, A.1T.1–A.1T.6. [Google Scholar] [CrossRef]
  7. Garrido, C.; Schmitt, E.; Candé, C.; Vahsen, N.; Parcellier, A.; Kroemer, G. HSP27 and HSP70: Potentially oncogenic apoptosis inhibitors. Cell Cycle 2003, 2, 579–584. [Google Scholar] [CrossRef]
  8. Voisine, C.; Orton, K.; Morimoto, R.I. Protein misfolding, chaperone networks, and the heat shock response in the nervous system. In Molecular Neurology; Elsevier Academic Press: Cambridge, MA, USA, 2007; pp. 59–76. [Google Scholar] [CrossRef]
  9. Duan, Y.; Guo, J.; Ding, K.; Wang, S.J.; Zhang, H.; Dai, X.W.; Chen, Y.Y.; Govers, F.; Huang, L.L.; Kang, Z.S. Characterization of a wheat HSP70 gene and its expression in response to stripe rust infection and abiotic stresses. Mol. Biol. Rep. 2011, 38, 301–307. [Google Scholar] [CrossRef] [PubMed]
  10. Tkáčová, J.; Angelovičová, M. Heat shock proteins (HSPs): A review. Sci. Pap. Anim. Sci. Biotechnol. 2012, 45, 349. [Google Scholar]
  11. Chen, Y.J.; Cheng, S.Y.; Liu, C.H.; Tsai, W.C.; Wu, H.H.; Huang, M.D. Exploration of the truncated cytosolic Hsp70 in plants—Unveiling the diverse T1 lineage and the conserved T2 lineage. Front. Plant Sci. 2023, 14, 1279540. [Google Scholar] [CrossRef]
  12. Wruck, F.; Avellaneda, M.J.; Koers, E.J.; Minde, D.P.; Mayer, M.P.; Kramer, G.; Mashaghi, A.; Tans, S.J. Protein folding mediated by trigger factor and Hsp70: New insights from single-molecule approaches. J. Mol. Biol. 2018, 430, 438–449. [Google Scholar] [CrossRef]
  13. Rasheed, A.; Ogbonnaya, F.C.; Lagudah, E.; Appels, R.; He, Z. The goat grass genome’s role in wheat improvement. Nat. Plants 2018, 4, 56–58. [Google Scholar] [CrossRef] [PubMed]
  14. Jia, J.; Zhao, S.; Kong, X.; Li, Y.R.; Zhao, G.Y.; He, W.M.; Appels, R.; Pfeifer, M.; Tao, Y.; Zhang, X.Y.; et al. Aegilops tauschii draft genome sequence reveals a gene repertoire for wheat adaptation. Nature 2013, 496, 91–95. [Google Scholar] [CrossRef]
  15. Lai, D.L.; Yan, J.; Fan, Y.; Li, Y.; Ruan, J.J.; Wang, J.Z.; Cheng, J.P. Genome-wide identification and phylogenetic relationships of the Hsp70 gene family of Aegilops tauschii, wild emmer wheat (Triticum dicoccoides) and bread wheat (Triticum aestivum). Biotech 2021, 11, 301. [Google Scholar] [CrossRef]
  16. Dvorak, J.; Luo, M.C.; Yang, Z.L.; Zhang, H.B. The structure of the Aegilops tauschii genepool and the evolution of hexaploid wheat. Theor. Appl. Genet. 1998, 97, 657–670. [Google Scholar] [CrossRef]
  17. Takumi, S.; Nishioka, E.; Morihiro, H.; Kawahara, T.; Matsuoka, Y. Natural variation of morphological traits in wild wheat progenitor Aegilops tauschii Coss. Breed. Sci. 2009, 59, 579–588. [Google Scholar] [CrossRef]
  18. Huang, Z.; Sui, B.; Zhang, C.; Huang, H.; Wei, S. The basis of resistance mechanism to mesosulfuron-methyl in Tausch’s goatgrass (Aegilops tauschii Coss.). Pestic. Biochem. Physiol. 2019, 155, 126–131. [Google Scholar] [CrossRef]
  19. Wang, H.Z.; Zhao, K.P.; Li, X.J.; Chen, X.T.; Liu, W.T.; Wang, J.X. Factors affecting seed germination and emergence of Aegilops tauschii. Weed Res. 2020, 60, 171–181. [Google Scholar] [CrossRef]
  20. Nazari, M.; Moosavi, S.S.; Maleki, M. Morpho-physiological and proteomic responses of Aegilops tauschii to imposed moisture stress. Plant Physiol. Biochem. 2018, 132, 445–452. [Google Scholar] [CrossRef]
  21. Wang, N.; Chen, H. Effects of Soil Drought on Competitiveness of the Invasive Weed Aegilops tauschii. Russ. J. Plant Physiol. 2024, 71, 114. [Google Scholar] [CrossRef]
  22. Liu, M.; Bian, Z.Y.; Shao, M.; Feng, Y.Q.; Ma, W.F.; Liang, G.P.; Mao, J. Expression analysis of the apple HSP70 gene family in abiotic stress and phytohormones and expression validation of candidate MdHSP70 genes. Sci. Rep. 2024, 14, 23975. [Google Scholar] [CrossRef]
  23. Zhou, Z.X.; Xiao, L.D.; Zhao, J.D.; Hu, Z.Y.; Zhou, Y.L.; Liu, S.Q.; Zhou, Y. Comprehensive Genomic Analysis and Expression Profile of HSP70 Gene Family Related to Abiotic and Biotic Stress in Cucumber. Horticulturae 2023, 9, 1057. [Google Scholar] [CrossRef]
  24. Song, J.H.; Weng, Q.Y.; Ma, H.L.; Yuan, J.C.; Wang, L.Y.; Liu, Y.H. Cloning and expression analysis of the HSP70 gene ZmERD2 in Zea mays. Biotechnol. Biotechnol. Equip. 2016, 30, 219–226. [Google Scholar] [CrossRef]
  25. Su, Y.Z.; Zou, M.W.; Zhu, Y.M.; Han, X.; Li, Y.G.; Zhang, D.L.; Li, S.P. Analysis of population structure and origin in Aegilops tauschii Coss. from China through SNP markers. Genet. Resour. Crop Evol. 2020, 67, 923–934. [Google Scholar] [CrossRef]
  26. Li, Y.; He, L.; Li, J.; Chen, J.; Liu, C. Genome-wide Identification, Characterization and Expression Profiling of the Legume BZR Transcription Factor Gene Family. Front. Plant Sci. 2018, 9, 1332. [Google Scholar] [CrossRef] [PubMed]
  27. Chen, C.; Xia, R.; Chen, H.; He, Y. TBtools, a Toolkit for Biologists integrating various biological data handling tools with a user-friendly interface. BioRxiv 2018, 289660. [Google Scholar] [CrossRef]
  28. Almagro Armenteros, J.J.; Kaae Sønderby, C.; Kaae Sønderby, S.; Nielsen, H.; Winther, O. DeepLoc: Prediction of protein subcellular localization using deep learning. Bioinformatics 2017, 33, 3387–3395. [Google Scholar] [CrossRef] [PubMed]
  29. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016, 33, 1870. [Google Scholar] [CrossRef] [PubMed]
  30. Diao, J.H.; O’Reilly, M.M.; Holland, B. A subfunctionalisation model of gene family evolution predicts balanced tree shapes. Mol. Phylogenetics Evol. 2022, 176, 107566. [Google Scholar] [CrossRef] [PubMed]
  31. Hu, B.; Jin, J.; Guo, A.Y.; Zhang, H.; Luo, J.C.; Gao, G. GSDS 2.0: An upgraded gene feature visualization server. Bioinformatics 2014, 31, 1296. [Google Scholar] [CrossRef]
  32. Bailey, T.L.; Mikael, B.; Buske, F.A.; Frith, M.; Grant, C.E.; Clementi, L.; Ren, J.Y.; Li, W.W.; Noble, W.S. MEME SUITE: Tools for motif discovery and searching. Nucleic Acids Res. 2009, 37, 202–208. [Google Scholar] [CrossRef]
  33. Liu, J.Y.; Shively, C.A.; Mitra, R.D. Quantitative analysis of transcription factor binding and expression using calling cards reporter arrays. Nucleic Acids Res. 2020, 48, 50. [Google Scholar] [CrossRef]
  34. Wang, Y.P.; Tang, H.B.; Debarry, J.D.; Tan, X.; Li, J.P.; Wang, X.Y.; Lee, T.; Jin, H.Z.; Marler, B.; Guo, H.; et al. MCScanX: A toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012, 40, 49. [Google Scholar] [CrossRef] [PubMed]
  35. Lescot, M.; Déhais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Peer, Y.V.; Rouzé, P.; Rombauts, S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef] [PubMed]
  36. Beck, E.H.; Fettig, S.; Knake, C.; Hartig, K.; Bhattarai, T. Specific and unspecific responses of plants to cold and drought stress. J. Biosci. 2007, 32, 501–510. [Google Scholar] [CrossRef]
  37. Lin, B.L.; Wang, J.S.; Liu, H.C.; Chen, R.W.; Delseny, M. Genomic analysis of the Hsp70 superfamily in Arabidopsis thaliana. Cell Stress Chaperones 2001, 6, 201–208. [Google Scholar] [CrossRef] [PubMed]
  38. Rosenzweig, R.; Nillegoda, N.B.; Mayer, M.P.; Bukau, B. The Hsp70 chaperone network. Nat. Rev. Mol. Cell Biol. 2019, 20, 665–680. [Google Scholar] [CrossRef] [PubMed]
  39. Sung, D.Y.; Vierling, E.; Guy, C.L. Comprehensive expression profile analysis of the Arabidopsis HSP70 gene family. Plant Physiol. 2001, 126, 789–800. [Google Scholar] [CrossRef]
  40. Leng, L.; Liang, Q.Q.; Jiang, J.J.; Zhang, C.; Hao, Y.H.; Wang, X.L.; Su, W. A subclass of HSP70s regulate development and abiotic stress responses in Arabidopsis thaliana. J. Plant Res. 2017, 130, 349–363. [Google Scholar] [CrossRef]
  41. Sarkar, N.K.; Kundnani, P.; Grover, A. Functional analysis of Hsp70 superfamily proteins of rice (Oryza sativa). Cell Stress Chaperones 2013, 18, 427–437. [Google Scholar] [CrossRef] [PubMed]
  42. Tang, T.; Yu, A.M.; Li, P.; Yang, H.; Liu, G.J.; Liu, L. Sequence analysis of the Hsp70 family in moss and evaluation of their functions in abiotic stress responses. Sci. Rep. 2016, 6, 33650. [Google Scholar] [CrossRef] [PubMed]
  43. Guo, M.; Liu, J.; Ma, X.; Zhai, Y.F.; Gong, Z.H.; Lu, M.H. Genome-wide analysis of the HSP70 family genes in pepper (Capsicum annuum L.) and functional identification of CaHsp70-2 involvement in heat stress. Plant Sci. 2016, 252, 246–256. [Google Scholar] [CrossRef]
  44. Su, H.; Xing, M.; Liu, X.; Fang, Z.Y.; Yang, L.M.; Zhuang, M.; Zhang, Y.Y.; Wang, Y.; Lv, H.H. Genome-wide analysis of HSP70 family genes in cabbage (Brassica oleracea var. capitata) reveals their involvement in floral development. BMC Genom. 2019, 20, 369. [Google Scholar] [CrossRef]
  45. Song, Z.P.; Pan, F.L.; Lou, X.P.; Wang, D.B.; Yang, C.; Zhang, B.Q.; Zhang, H.Y. Genome-wide identification and characterization of Hsp70 gene family in Nicotiana tabacum. Mol. Biol. Rep. 2019, 46, 1941–1954. [Google Scholar] [CrossRef]
  46. Rehman, A.; Atif, R.M.; Qayyume, A.; Du, X.M.; Hinzef, L.; Azhar, M.T. Genome-wide identification and characterization of HSP70 gene family in four species of cotton. Genomics 2020, 112, 4442–4453. [Google Scholar] [CrossRef]
  47. Huang, Y.X.; Chen, M.M.; Chen, D.M.; Chen, H.M.; Xie, Z.H.; Dai, S.F. Enhanced HSP70 binding to m6A-methylated RNAs facilitates cold stress adaptation in mango seedlings. BMC Plant Biol. 2024, 24, 1114. [Google Scholar] [CrossRef]
  48. Huang, D.L.; Tian, C.; Sun, Z.J.; Niu, J.F.; Wang, G.C. Potential synergistic regulation of hsp70 and antioxidant enzyme genes in Pyropia yezoensis under high temperature stress. Algal Res. 2024, 78, 103375. [Google Scholar] [CrossRef]
  49. Xu, K.; Wang, P. Transcriptome-wide identification of the HSP70 gene family in Pugionium cornutum and functional analysis of PcHsp70-5 under drought stress. Planta 2024, 260, 84. [Google Scholar] [CrossRef] [PubMed]
  50. Xu, T.; Zhou, H.; Feng, J.; Guo, M.Y.; Huang, H.M.; Yang, P.; Zhou, J. Involvement of HSP70 in BAG9-mediated thermotolerance in Solanum lycopersicum. Plant Physiol. Biochem. 2024, 207, 108353. [Google Scholar] [CrossRef] [PubMed]
  51. Vu, N.T.; Nguyen NB, T.; Ha, H.H.; Nguyen, L.N.; Luu, L.H.; Dao, H.Q.; Vu, T.T.; Huynh, H.T.T.; Le, H.T.T. Evolutionary analysis and expression profiling of the HSP70 gene family in response to abiotic stresses in tomato (Solanum lycopersicum). Sci. Prog. 2023, 106, 368504221148843. [Google Scholar] [CrossRef]
  52. Wang, X.S.; Jin, Z.; Ding, Y.; Guo, M. Characterization of HSP70 family in watermelon (Citrullus lanatus): Identification, structure, evolution, and potential function in response to ABA, cold and drought stress. Genet 2023, 14, 1201535. [Google Scholar] [CrossRef] [PubMed]
  53. Gong, W.N.; Xie, B.Y.; Wan, F.H.; Guo, J.Y. Molecular cloning, characterization, and heterologous expression analysis of heat shock protein genes (hsp70 and hsp90) of the invasive alien weed, Ageratina adenophora (Asteraceae). Weed Biol. Manag. 2010, 10, 91–101. [Google Scholar] [CrossRef]
  54. Rogozin, I.B.; Carmel, L.; Csuros, M.; Koonin, E.V. Origin and evolution of spliceosomal introns. Biol. Direct 2012, 7, 11. [Google Scholar] [CrossRef] [PubMed]
  55. Jeffares, D.C.; Miurier, T.; Penny, D. The biology of intron gain and loss. Trends Genet. 2006, 22, 16–22. [Google Scholar] [CrossRef]
  56. Deshmukh, R.K.; Sonah, H.; Singh, N.K. Intron gain, a dominant evolutionary process supporting high levels of gene expression in rice. J. Plant Biochem. Biotechnol. 2016, 25, 142–146. [Google Scholar] [CrossRef]
  57. Lu, Y.Z.; Zhao, P.; Zhang, A.; Wang, J.; Ha, M. Genome-wide analysis of HSP70s in hexaploid wheat: Tandem duplication, heat response, and regulation. Cells 2022, 11, 818. [Google Scholar] [CrossRef] [PubMed]
  58. Cheng, F.; Wu, J.; Fang, L.; Wang, X. Syntenic gene analysis between Brassica rapa and other Brassicaceae species. Front. Plant Sci. 2012, 3, 198. [Google Scholar] [CrossRef]
  59. Sémon, M.; Wolfe, K.H. Consequences of genome duplication. Curr. Opin. Genet. Dev. 2007, 17, 505–512. [Google Scholar] [CrossRef]
  60. Liu, J.; Pang, X.; Cheng, Y.; Yin, C.H.; Zhang, Q.; Su, W.B.; Hu, B.; Guo, Q.W.; Ha, S.; Zhang, J.P.; et al. The HSP70 gene Family in Solanum tuberosum: Genome-Wide Identification, Phylogeny, and Expression Patterns. Sci. Rep. 2018, 8, 16628. [Google Scholar] [CrossRef]
  61. Jakhu, P.; Sharma, P.; Yadav, I.S.; Kaur, P.; Kaur, S.; Chhuneja, P.; Singh, K. Cloning, expression analysis and In silico characterization of HSP101: A potential player conferring heat stress in Aegilops speltoides (Tausch) Gren. Physiol. Mol. Biol. Plants 2021, 27, 1205–1218. [Google Scholar] [CrossRef] [PubMed]
  62. Chalhoub, B.; Denoeud, F.; Liu, S.Y.; Parkin, I.A.P.; Tang, H.B.; Wang, X.Y.; Chiquet, J.; Belcram, H.; Tong, C.B.; Samans, B.; et al. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science 2014, 345, 950. [Google Scholar] [CrossRef]
  63. Liang, Z.; Li, M.; Liu, Z.; Wang, J. Genome-wide identification and characterization of the HSP70 gene family in allopolyploid rapeseed (Brassica napus L.) compared with its diploid progenitors. PeerJ 2019, 7, e7511. [Google Scholar] [CrossRef] [PubMed]
  64. Wang, X.M.; Wang, R.C.; Ma, C.; Shi, X.; Liu, Z.S.; Wang, Z.H.; Sun, Q.X.; Cao, J.; Xu, S.B. Massive expansion and differential evolution of small heat shock proteins with wheat (Triticum aestivum L.) polyploidization. Sci. Rep. 2017, 7, 2581. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Phylogenetic analysis of Hsp70 family proteins in A. tauschii (AetHsp70s), T. aestivum (TaHsp70s), A. thaliana (AtHsp70s), and O. sativa (OsHsp70s). The complete amino acid sequences of Hsp70 proteins were aligned to identify conserved regions and divergences using the CLASTW program in MEGAX. The unrooted tree was generated using the neighbor-joining (NJ) method. All Hsp70 proteins were divided into I, II, III, and IV. Subfamilies were delineated by their unique color coding, facilitating the visual differentiation of each group. The identified AetHsp70s and TaHsp70s were marked with green and orange arrows, respectively.
Figure 1. Phylogenetic analysis of Hsp70 family proteins in A. tauschii (AetHsp70s), T. aestivum (TaHsp70s), A. thaliana (AtHsp70s), and O. sativa (OsHsp70s). The complete amino acid sequences of Hsp70 proteins were aligned to identify conserved regions and divergences using the CLASTW program in MEGAX. The unrooted tree was generated using the neighbor-joining (NJ) method. All Hsp70 proteins were divided into I, II, III, and IV. Subfamilies were delineated by their unique color coding, facilitating the visual differentiation of each group. The identified AetHsp70s and TaHsp70s were marked with green and orange arrows, respectively.
Genes 16 00019 g001
Figure 2. Characterizations of the identified AetHsp70s in A. tauschii. (A) In the protein structure plot (left), boxes with different colors denote a total of ten preserved motifs; within the gene structure diagram (right), the green boxes, black lines, and orange boxes correspond to regions of non-coding RNA regions (UTR), intron and exon, respectively. (B) Amino acid sequence composition of the conserved motif in AetHsp70 proteins.
Figure 2. Characterizations of the identified AetHsp70s in A. tauschii. (A) In the protein structure plot (left), boxes with different colors denote a total of ten preserved motifs; within the gene structure diagram (right), the green boxes, black lines, and orange boxes correspond to regions of non-coding RNA regions (UTR), intron and exon, respectively. (B) Amino acid sequence composition of the conserved motif in AetHsp70 proteins.
Genes 16 00019 g002
Figure 3. Distribution of HSP70 family genes on A. tauschii and T. aestivum chromosomes. The yellow and green bars were represented as the chromosomes of A. tauschii and T. aestivum. The chromosome name was indicated next to each bar. Un was the unmapped chromosome of T. aestivum. The scale of all chromosomes was in millions of bases (Mb).
Figure 3. Distribution of HSP70 family genes on A. tauschii and T. aestivum chromosomes. The yellow and green bars were represented as the chromosomes of A. tauschii and T. aestivum. The chromosome name was indicated next to each bar. Un was the unmapped chromosome of T. aestivum. The scale of all chromosomes was in millions of bases (Mb).
Genes 16 00019 g003
Figure 4. Genome-wide syntenic analysis of HSP70 genes in A. tauschii and T. aestivum. (A) Synteny analysis of HSP70 genes between A. tauschii and T. aestivum. (B) Synteny analysis of HSP70 genes in A. tauschi. (C) Synteny analysis of HSP70 genes in T. aestivum.
Figure 4. Genome-wide syntenic analysis of HSP70 genes in A. tauschii and T. aestivum. (A) Synteny analysis of HSP70 genes between A. tauschii and T. aestivum. (B) Synteny analysis of HSP70 genes in A. tauschi. (C) Synteny analysis of HSP70 genes in T. aestivum.
Genes 16 00019 g004
Figure 5. Cis-acting elements identified in the promoters of AetHSP70 genes. The promoter region (−2000 bp upstream) of AetHSP70 genes was scanned for the presence of conserved cis-acting elements using the PlantCare database.
Figure 5. Cis-acting elements identified in the promoters of AetHSP70 genes. The promoter region (−2000 bp upstream) of AetHSP70 genes was scanned for the presence of conserved cis-acting elements using the PlantCare database.
Genes 16 00019 g005
Table 1. Details of genome-wide identified HSP 70 gene family members in A. tauschii.
Table 1. Details of genome-wide identified HSP 70 gene family members in A. tauschii.
Gene NameGene IDAmino AcidsMW/kDpIGRAVYLocalization
AetHSP70-1AET6Gv2083060064771.134.8−0.41Cytoplasm
AetHSP70-2AET5Gv2022530066773.434.93−0.41ER
AetHSP70-3AET4Gv2030030072478.935.19−0.45Plastid
AetHSP70-4AET5Gv2110890071378.125.35−0.39Plastid
AetHSP70-5AET4Gv2052830065171.324.83−0.45Cytoplasm
AetHSP70-6AET3Gv2080530064770.644.91−0.37Cytoplasm
AetHSP70-7AET1Gv2068210073781.137.05−0.54Plastid
AetHSP70-8AET4Gv2052590065771.834.91−0.44Cytoplasm
AetHSP70-9AET6Gv2010860066573.24.85−0.47ER
AetHSP70-10AET2Gv2124120067973.094.92−0.32ER
AetHSP70-11AET5Gv2069270061467.325.65−0.33ER
AetHSP70-12AET7Gv2104350066473.114.87−0.42ER
AetHSP70-13AET7Gv2104460066773.534.87−0.39ER
AetHSP70-14AET1Gv2032830057561.895.17−0.21Plastid
AetHSP70-15AET5Gv2031200069073.584.72−0.27Plastid
AetHSP70-16AET5Gv2062970068472.746.04−0.27Mitochondrion
AetHSP70-17AET3Gv2070140068373.345.57−0.34Mitochondrion
AetHSP70-18AET4Gv2088280066170.745.08−0.27Mitochondrion
AetHSP70-19AET2Gv2129070068072.855.05−0.29Mitochondrion
MW, molecular weight; pI, isoelectric point; GRAVY, grand average of hydropathicity; ER, endoplasmic reticulum.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Xu, Y.; Liu, Y.; Yi, Y.; Liu, J. Genome-Wide Identification and Characterization of HSP70 Gene Family in Tausch’s Goatgrass (Aegilops tauschii). Genes 2025, 16, 19. https://doi.org/10.3390/genes16010019

AMA Style

Xu Y, Liu Y, Yi Y, Liu J. Genome-Wide Identification and Characterization of HSP70 Gene Family in Tausch’s Goatgrass (Aegilops tauschii). Genes. 2025; 16(1):19. https://doi.org/10.3390/genes16010019

Chicago/Turabian Style

Xu, Yongmei, Yue Liu, Yanjun Yi, and Jiajia Liu. 2025. "Genome-Wide Identification and Characterization of HSP70 Gene Family in Tausch’s Goatgrass (Aegilops tauschii)" Genes 16, no. 1: 19. https://doi.org/10.3390/genes16010019

APA Style

Xu, Y., Liu, Y., Yi, Y., & Liu, J. (2025). Genome-Wide Identification and Characterization of HSP70 Gene Family in Tausch’s Goatgrass (Aegilops tauschii). Genes, 16(1), 19. https://doi.org/10.3390/genes16010019

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop