Skip to main content

Genome-wide identification and expression analysis of DREB family genes in cotton

Abstract

Background

Dehydration responsive element-binding (DREB) transcription factors are widely present in plants, and involve in signalling transduction, plant growth and development, and stress response. DREB genes have been characterized in multiple species. However, only a few DREB genes have been studied in cotton, one of the most important fibre crops. Herein, the genome‑wide identification, phylogeny, and expression analysis of DREB family genes are performed in diploid and tetraploid cotton species.

Results

In total, 193, 183, 80, and 79 putative genes containing the AP2 domain were identified using bioinformatics approaches in G. barbadense, G. hirsutum, G. arboretum, and G. raimondii, respectively. Phylogenetic analysis showed that based on the categorization of Arabidopsis DREB genes, 535 DREB genes were divided into six subgroups (A1–A6) by using MEGA 7.0. The identified DREB genes were distributed unevenly across 13/26 chromosomes of A and/or D genomes. Synteny and collinearity analysis confirmed that during the evolution, the whole genome duplications, segmental duplications, and/or tandem duplications occurred in cotton DREB genes, and then DREB gene family was further expanded. Further, the evolutionary trees with conserved motifs, cis-acting elements, and gene structure of cotton DREB gene family were predicted, and these results suggested that DREB genes might be involved in the hormone and abiotic stresses responses. The subcellular localization showed that in four cotton species, DREB proteins were predominantly located in the nucleus. Further, the analysis of DREB gene expression was carried out by real-time quantitative PCR, confirming that the identified DREB genes of cotton were involved in response to early salinity and osmotic stress.

Conclusions

Collectively, our results presented a comprehensive and systematic understanding in the evolution of cotton DREB genes, and demonstrated the potential roles of DREB family genes in stress and hormone response.

Peer Review reports

Background

With the global climatic change, the plant growth and development were challenged with variable abiotic stimuli, ultimately resulting in massive agricultural losses [1, 2], and this problem continues to worsen. To respond to various stresses, plants have gradually evolved a series of sophisticated regulatory mechanisms [2, 3], in which the stress-responsive transcriptional factors and hormonal signaling transduction events function together to form an interconnected network [3, 4]. Transcription factors are involved in activating or repressing the rate of transcription of their target gene(s) [5, 6]. Previous reports confirmed that the numerous stress-responsive transcription factors in plants, such as WRKY [7], MYB [8], and AP2/ERF [9], were induced under abiotic stimuli. According to the number of domains and their specific binding sequences, AP2/ERF family were classified into the four major groups: AP2 subfamily, ERF subfamily, DREB subfamily, and RAV subfamily [10, 11].

The distribution of DREB genes were varied greatly in plant kingdom. Based on their structural characteristics, DREB genes could be further divided into six subgroups: A1–A6 [12]. DREB transcription factors are one of the most promising regulons for abiotic stress tolerance in plants that directly bound to six nucleotides (A/GCCGAC) of DRE [13, 14]. These sequences could be found in the promoter regions of drought and cold responsive genes [15,16,17,18]. DREB subfamily could regulate genes involved in diverse biological processes [19], such as growth, development, and stress responses, through transcriptional and post-translational modification. For example, the overexpression of soybean DREB1 could improve the drought stress tolerance of transgenic wheat in the field [20]. Recently, a study demonstrated the important role of DREBs not only in stress response, but in development and photosynthesis of Saccharum spontaneum [21]. In mung bean, 30 DREB genes have been identified and characterized, five of genes are significantly upregulated under drought condition [22]. In barley, 41 DREB genes have been discovered, among which, many genes are highly expressed in response to drought and salt stimuli [23]. Additionally, a large amount of DREB genes have been identified in wheat genome, and the overexpression of TaDREB3 could confer the plant tolerance to heat, dehydration, and salt stresses [24]. A number of DREB genes have been identified and characterized in a wide variety of plant species [25,26,27,28,29], in which the function of DREB families has been extensively reviewed. Collectively, the ample reports confirmed that under the abiotic and biotic stresses, ERF family/DREB subfamily genes have emerged as key regulators in plants [30].

Cotton (Gossypium spp.) is one of the most important economically crop plants worldwide, and it provides the natural textile fiber and edible oil [31]. Apart from its economic value, cotton is also an excellent model polyploid crop for studying polyploidization, cell elongation, and cell wall biosynthesis [32,33,34]. Previous reports have been proposed that all diploid cotton species may have evolved from a common ancestor, followed by subsequently diversifying to produce eight groups, including groups A–G and K3 [35, 36]. G. raimondii is a wild species, and the draft genome was drawn in detail in previous study [32], in which a voucher specimen of this material has been deposited in a publicly available herbarium. Since the release of whole-genome sequences of the diploid cotton G. raimondii [35] and the allotetraploid cotton G. hirsutum (TM-1) [37], the genome-wide analysis of DREB genes is possible, and will help to elucidate their regulatory functions in plant growth, development and, in particular, stimuli responses. Although some members of AP2/EREBP gene families have been studied, the DREB superfamily genes remains largely unexplored in cottons.

To fill this gap, we provide a detailed overview of genome-wide analysis in four cotton species, including two diploid species (G. arboreum and G. raimondii) and two tetraploid species (G. barbadense and G. hirsutum). Herein, the Cotton Functional Genomics Database was used for systematically analyzing these DREB genes, in which the variation in DREB family were identified and annotated. Next, we performed bioinformatics analysis for classification of DREB genes into six subgroups. Further, the presence of chromosomal distribution, gene duplication events, characteristic conserved motifs, putative cis‑acting elements, and gene structure were carried out. The subcellular localization of all DREB proteins were predicted. Finally, the expression changes of several DREB gene in G. hirsutum were checked during early osmotic and salt stress. In summary, we performed the genome-wide identification and expression analysis of DREB family genes in cotton, and verified the roles of DREB in abiotic stimuli responses. These findings will also provide useful insights for future studies on functional characterization of DREB genes in cotton.

Results

Identification and phylogenetic analysis of DREB subfamily genes in cotton

Herein, the total of 193, 183, 80, and 79 DREB genes in Gossypium barbadense (AD2), Gossypium hirsutum (AD1), Gossypium arboreum (A2), and Gossypium raimondii (D5) were identified, respectively (Fig. 1A). In G. barbadense, 95 DREB genes were discovered on At sub-genome, and 98 DREB genes were identified on Dt sub-genome. In G. hirsutum, 87 were observed in At sub-genome, and 96 were identified in Dt sub-genome. In Gossypium arboretum and Gossypium raimondii, 80 and 79 DREB genes were identified, respectively, on their respective chromosome. According to their species association, all 535 DREB genes from four cottons were renamed. Next, the phylogenetic analysis of all putative DREB genes from the four Gossypium species and 51 DREB genes of A. thaliana were carried out, based on amino acid sequences of identified DREB proteins by using maximum likelihood method. Based on the subgroup (s) categories from A. thaliana, 535 DREB genes of four cotton species were divided into six subgroups (Groups A1–A6; Fig. 1B), in which A4 and A3 are the largest and smallest subgroup with 187 and 5 cotton DREB genes, respectively. In addition, A1, A2, A5, and A6 subgroup contains 36, 43, 105, and 159 cotton DREB genes, respectively. Above results suggested that DREB genes of four cotton species and A. thaliana were unevenly distributed in all subgroup.

Fig. 1
figure 1

Number of DREB genes from four cotton species and a phylogenetic tree of DREB proteins among Gossypium spp. and Arabidopsis thaliana. A The number of DREB genes in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii, among which, Chr and Scaff indicated respectively the chromosome and scaffold. B The unrooted phylogenetic tree was structured with the maximum likelihood method (1000 bootstraps) based on the amino acid sequence of DREB proteins

Chromosomal mapping and gene duplication of DREB family genes in cotton

To investigative the genomic distribution of DREB genes on cotton chromosome, the physical positions of all DREB genes from G. barbadense, G. hirsutum, G. arboreum, and G. raimondii was identified by using the position data of DREB genes obtained from the Cotton Functional Genomics Database. Meanwhile, the gene duplication events were analyzed for whole genome duplications (WGD), segmental duplications, and/or tandem duplications to investigate the expansion pattern of DREB gene family from four cotton species.

In G. barbadense, 191 DREB genes were unevenly distributed on all 26 chromosomes, among which, 93 and 98 genes were located in At and Dt sub-genome, respectively (Fig. 2A). Meanwhile, Gbar_A07G025290.1 and Gbar_A08G027720.1 were located in scaffold 278 and scaffold 3, respectively. Our results further showed that in At sub-genome of G. barbadense, 6, 4, 5, 3, 13, 10, 7, 9, 7, 4, 9, 11, and 5 DREB genes were located on A01 to A13 chromosomes, and A04 and A05 chromosomes contained the minimum and highest number DREB genes (3 and 13), respectively (Fig. 2A). Similarly, 5, 4, 6, 3, 14, 10, 9, 10, 7, 4, 10, 11, and 5 DREB genes in Dt sub-genome of G. barbadense were distributed on D01 to D13 chromosomes, in which chromosome D05 contained the greatest number of DREB genes (14), and chromosomes D04 have the lowest number (3) (Fig. 2A). To further investigate the expansion pattern of DREB genes in G. barbadense, the circos analysis was carried out (Fig. 3A). Our results showed that in 193 DREB genes of G. barbadense, 188 WGD or segmental duplications were found, and 2 tandem duplications were detected (Fig. 3A, Additional file 1). Furthermore, these genes above were located unevenly on all 26 chromosomes.

Fig. 2
figure 2

Chromosomal distribution of DREB family genes in cotton genome. The chromosome distribution of DREB genes from A G. barbadense, B G. hirsutum, C G. arboretum, and D G. raimondii were shown on their respective chromosomes. The physical positions of DREB were mapped according to cotton genome. The scale for the length of chromosome is mega bases (Mb). The chromosome number is shown at the top of each chromosome

Fig. 3
figure 3

Schematic representation of the duplication of DREB genes in the cotton genome. The gene duplication events from A G. barbadense, B G. hirsutum, C G. arboretum, and D G. raimondii were exhibited on their respective chromosomes. The number of each chromosome is indicated inside each bar. The scale on the above of box is in mega bases (Mb). DREB gene pairs with a syntenic relationship are linked by red lines

In G. hirsutum, 183 DREB genes were scattered on all 26 chromosomes of At and Dt sub-genomes (Fig. 2B). 87 DREB genes were distributed in At sub-genomes, and the number of DREB genes from chromosome A01 to A13 was 5, 5, 5, 3, 13, 9, 8, 10, 7, 1, 6, 12, and 3, respectively, in which A05 chromosome and A10 chromosome have maximum and minimum number, respectively (Fig. 2B). Additionally, 96 DREB genes were located on Dt sub-genomes. Among these 96 genes, 4, 3, 6, 3, 15, 10, 10, 10, 7, 5, 9, 10, and 4 DREB genes were located in D01 to D13 sub-genome, respectively, in which D05 chromosome contained the greatest number of DREB genes, and both D02 and D04 chromosomes had the lowest number. Among 183 DREB family genes from G. hirsutum, 178 genes have WGD or segmental duplications, and 1 gene has tandem duplication (Fig. 3B, Additional file 1). In addition, these 179 genes were located unevenly on all 26 chromosomes.

In G. arboreum, 80 DREB genes were located unequally on 13 chromosomes. As illustrated in Fig. 2C, our results confirmed that 6, 6, 4, 3, 12, 6, 5, 8, 6, 4, 9, 8, and 3 DREB genes were located on chromosomes A1 to A13, respectively. The chromosomes A05 contained the highest number (12) of DREB genes. Both A04 and A13 chromosome exhibited the lowest number (3). For 80 DREB genes of G. arboreum, 67 DREB genes showed the WGD or segmental duplications, and 3 tandem genes were observed (Fig. 3C, Additional file 1). Above 70 genes were scattered unevenly on all 13 chromosomes.

In G. raimondii, 79 DREB genes were unevenly localized on all 13 chromosomes (Fig. 2D). The number of DREB genes from D01 to D13 chromosome was 5, 6 7, 8, 4, 5, 9, 8, 16, 6, 4, 1, and 2, respectively, among which, D09 and D12 chromosome contained the highest (16) and minimum (1) number of DREB genes, respectively (Fig. 2D). Further, our results confirmed that in all DREB genes of G. raimondii, 65 WGD or segmental duplications were found, and 3 tandem duplications were showed (Fig. 3D, Additional file 1). These 68 genes were located in all 13 chromosomes.

It is known that the G. hirsutum and G. barbadense are thought to have evolved from the hybridization of A-subgenome of G. herbaceum or G. arboreum and D-subgenome of G. raimondii. To comprehend the evolutionary internal relevancies of DREB family genes, the collinearity relationships were identified between DREB genes of G. hirsutum and related genes from other cotton, including G. barbadense, G. arboreum, and G. raimondii (Fig. 4). MCScanX analysis demonstrated that 181 DREB genes of G. hirsutum showed collinearity relationships with 195 genes of G. barbadense (Fig. 4A, Additional file 2). Meanwhile, these gene loci above in both G. hirsutum and G. barbadense were located unevenly at At and Dt sub-genomes. There is such relationship between 178 DREB genes of G. hirsutum and 97 genes of G. arboretum (Fig. 4B, Additional file 2). In addition, the collinearity relationships were recognized between 176 genes of G. hirsutum and 96 genes of G. raimondii (Fig. 4C, Additional file 2). It is worth noting that the number of orthologous gene pairs was 930 between G. hirsutum and G. barbadense; 551 between G. hirsutum and G. arboretum; 573 between G. hirsutum and G. raimondii (Fig. 4, Additional file 2).

Fig. 4
figure 4

Synteny analysis of DREB family genes. Orthologous relationships of DREB genes were investigated between A G. hirsutum and G. barbadense; B G. hirsutum and G. arboretum; C G. hirsutum and G. raimondii. The blue lines highlighted collinear DREB gene pairs, and the gray lines in the background indicated all collinear blocks

Phylogenetic relationships, conserved motif composition, and cis-acting elements, gene structure analysis of DREB genes

To better understand the evolution and structural diversity of DREB gene family, the evolutionary relationships with conserved motif, promoter elements, and gene structure were evaluated in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii, respectively. In terms of similarity, a total of 10 conserved motifs, motif 1–10, were observed in DREB gene family of each species, in which the motif 1 was conserved across all DREB genes of four cotton species (Fig. 5). The analysis of promoter cis-acting elements showed that among four cotton species, these elements of DREB genes have not significant difference (Fig. 5), and in each species, all DREB gene families contain some common elements. In addition, unlike G. arboretum, both untranslated region (UTR) and coding sequence (CDS) were observed in DREB genes of G. barbadense, G. hirsutum, and G. raimondii (Fig. 5). Additionally, AP2 domain was identified in all DREB genes among four cotton species (Additional file 3).

Fig. 5
figure 5

Phylogenetic relationships, protein motif analysis, cis-acting element, and gene structure of DREB genes in A G. barbadense, B G. hirsutum, C G. arboretum, and D G. raimondii. The phylogenetic tree was constructed with maximum likelihood method, and DREB proteins were classified into three subgroups (I-III) for each species. Conserved motifs of DREB proteins were identified, and 10 predicted motifs were represented by distinct colored boxes, in which the black lines indicated non-conserved regions. Seventeen cis-acting elements were detected in each species, in which they are represented by distinct colored boxes. Gene structure was analyzed, and green and orange boxes represented untranslated region (UTR) and coding sequence (CDS)

For each species, the related information above also reported. According to evolution analysis, firstly, all 193 DREB genes of G. barbadense were categorized into three groups, I-III (Fig. 5A). Both I and III contained 81 DREB genes, and in each group, the motif 1, 2, and 3 were conserved. In group II, the motif 1, 2, and 4 were conserved in 31 DREB genes. For 193 DREB genes in G. barbadense, their gene structure showed significant difference. 35.75% of genes were UTR-less, and both UTR and CDS were observed in 64.24% of genes. 23.32% of genes have introns, and 76.68% genes have no introns. Next, the evolutionary tree classified 183 DREB genes of G. hirsutum into 3 clades, including I (62), II (43), and III (78) group (Fig. 5B). In group I, motif 1, 2, and 4 were conserved. Both motif 1 and 3 were identified in group II and III, respectively. For 183 DREB genes in G. hirsutum, 80.32% of genes were UTR-less, and 19.67% of genes have both UTR and CDS. Meanwhile, 16.39% of genes have introns, and 83.60% genes were intron-less. Further, in G. arboretum, 80 DREB genes were also divided into three groups, among which, I, II, and III group contained 24, 23, and 33 genes, respectively (Fig. 5C). In group I, motif 1, 2, and 3 were observed. In group II, motif 2 and 4 were conserved. In group III, motif 1 and 2 were conserved. For DREB genes in G. arboretum, all genes do not contain UTR. Meanwhile, 11.25% of genes contained introns, and 88.75% genes have no introns. Finally, the evolutionary tree classified 79 DREB genes of G. raimondii into group I (34), II (23), and III (22) (Fig. 5D). In group I, motif 1 and 3 were conserved. In group II, motif 1 was conserved. In group III, motif 1 and 2 were conserved. For DREB genes in G. raimondii, 32.91% of genes were UTR-less, and both UTR and CDS were detected in 67.08% of genes. Meanwhile, 17.72% of genes contain introns, and 82.27% of genes have no introns.

Subcellular localization prediction of DREB proteins in cotton

Subsequently, the subcellular localization of DREB proteins in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii were predicted, respectively, by two bioinformatics analysis. As expected, we confirmed that as indicated in heat map, 90.15% DREB proteins of G. barbadense were predicted in nucleus, and 6.73% proteins were found in chloroplast (Fig. 6A). The 1, 2, and 3 DREB proteins were found in cytoplasmic, extracellular, and mitochondrial spaces, respectively (Fig. 6A). 89.61% DREB proteins of G. hirsutum were located primarily on nucleus, and 6.55% were located on chloroplast (Fig. 6B). Only 1, 2, and 4 DREB proteins were predicted in plasma membrane, extracellular, and mitochondrial spaces, respectively (Fig. 6B). In 80 DREB proteins of G. arboretum, 86.25% proteins were predicted on nucleus, and 8.75% were predicted on chloroplast (Fig. 6C). Only 2, 1, and 1 protein were found, respectively, in cytoplasmic, extracellular, and mitochondrial spaces (Fig. 6C). In G. raimondii, 88.60% DREB proteins were located on nucleus, and 8 and 1 proteins were predicted on chloroplast and mitochondrial spaces, respectively (Fig. 6D).

Fig. 6
figure 6

Heat map of the subcellular localizations of DREB proteins. Subcellular localization of DREB proteins were predicted in A G. barbadense, B G. hirsutum, C G. arboreum, and D G. raimondii. The color scale represented the abundance of DREB proteins in the cellular components

The expression of cotton DREB family genes under osmotic and salt stress

To examine the changes in DREB gene expression of cotton in response to early osmotic and salt stress, the cotton (G. hirsutum; TM-1) seedlings were subjected to NaCl and PEG treatment, respectively. In our experimental conditions, the expression levels of DREB family genes, such as Gh_A02G174600.1, Gh_A05G188700.1, Gh_A06G088500.1, Gh_A12G108200.1, Gh_A12G286200.1, Gh_D05G206100.1, Gh_D05G253900.1, Gh_D06G041500.1, and Gh_D12G129600.1, were examined by qPCR in leaves of cotton seedlings under NaCl treatment. As expected, our results showed that in compare with normal conditions, the expression of above DREB genes were differentially induced by salt stress (Fig. 7). Similarly, the expressions of Gh_A02G174600.1, Gh_A06G088500.1, Gh_A12G286200.1, Gh_D05G206100.1, Gh_A06G041000.1, and Gh_A12G108200.1 were evaluated in leaves of cotton seedlings under PEG treatment. As shown in Fig. 8, the induction of DREB gene expression were observed under PEG treatment, compared with normal conditions. However, the expression levels of DREB genes were differently upregulated during osmotic and salt stress at 0, 3, 6, 12, or 24 h. Collectively, above results confirmed that the transcript abundances of DREB genes in cotton were increased under early osmotic and salt stress.

Fig. 7
figure 7

The expression profile of DREB genes in the leaves of cotton in response to NaCl stress. A-I Two-week-old cotton seedlings were treated with 200 mM NaCl (or untreated, as a control) for 0, 3, 6, 12, and 24 h. Next, the relative expression of DREB genes was determined by qPCR, respectively. Gh_A02G174600.1 expression in the control group (Con) at 0 h was set to 100%

Fig. 8
figure 8

Time-course of changes in the expression of cotton DREB genes under PEG treatment. A-F Two-week-old cotton seedlings were treated with 20% PEG (or untreated, as a control) for 0, 3, 6, 12, and 24 h. Next, the transcription profiling of DREB genes was determined by qPCR, respectively. Gh_A02G174600.1 expression in the control group (Con) at 0 h was set to 100%

Discussion

Ample reports suggested that DREB subfamily was a class of important members of AP2/ERFs family in plants [10, 11], which were widely distributed in plants [21, 38,39,40,41]. It is demonstrated that DREB family genes in plants function the vital roles by either directly responding to environmental stresses or regulating the expression of downstream target genes [13, 14]. Cotton is the important economic crops providing the natural textile fiber and the amount of edible oil worldwide [31]. However, the knowledge of DREB gene family in cotton is limited.

To fill this gap, we identified 193, 183, 80, and 79 DREB family genes in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii, respectively (Fig. 1A). These 535 DREB genes from four cotton species were analyzed in this study. Based on the subgroup(s) categories of Arabidopsis thaliana, 535 DREB family genes from four cotton species were divided into 6 subgroups (Fig. 1), which was similar to those in other species [12, 21, 38, 39]. These results above indicated that DREB family genes were widespread in plants. Herein, the chromosomal location showed that DREB family genes from four cotton species were unevenly distributed on their respective chromosomes (Fig. 2), and these partly showed the evolutionary information of cotton DREB family. It is reported that the asymmetric arrangement of genes on chromosomes could show the information of their evolution [39].

The gene duplication, such as whole genome duplications (WGD), segmental duplications, and tandem duplications, was also major forces of the genome evolution in plants, and could alter the genetic system by generating the new gene subfamilies [42]. In our study, the possible WGD, segmental duplication, and/or tandem duplication events in DREB gene family were investigated, respectively, in four cotton species (Figs. 3 and 4). As expected, our results showed that in each cotton species, WGD, segmental duplication, and/or tandem duplication events were confirmed to occur during the evolution of cotton DREB gene families (Fig. 3). Meanwhile, we observed that the rates of WGD or segmental duplication were higher than tandem duplication events, suggesting that WGD or segmental duplication might mainly be driving forces of evolution for DREB gene families. These results above suggested that DREB gene families were expanded mainly by WGD or segmental duplications (in particular) and tandem duplications, and this might have enhanced the wide adaptability of cotton. Similarly, WGD, segmental duplications, and/or tandem duplications have been identified during the evolution of the S. spontaneum, B. campestris, and soybean [20, 43, 44]. It is known that the tandem duplications play the adaptively important roles in the evolution of abiotic stress responsive genes. Previously, a report confirmed that the tandem repeats contained the common cis-acting elements, and might play similar functions [45]. Hence, our results showed that tandem duplication pairs of DREB genes might preform the similar functions, and the common cis-acting regulatory elements were identified in promoter region of DREB genes (Fig. 5). To further explore the underlying evolutionary mechanisms of DREB gene family, the syntenic relationships among four cotton species were was inferred (Fig. 4). Our results demonstrated that a lot of collinearity gene pairs were observed between G. hirsutum and G. barbadense, G. arboreum, or G. raimondii. These might be explained by the closer phylogenetic relationships between diploid species and tetraploid species. Due to the most plants were diploidized polyploids, the segmental duplications were often found in plants [46]. WGD or polyploidy, is also the significantly source of evolution, resulting in new traits and transcriptional regulatory sites that alter gene expression patterns [47]. Our results not only confirmed that during the evolution of cotton, DREB gene family occurred the gene duplication and polyploidization (Figs. 3 and 4), but revealed that the evolutionary analysis of DREB gene family based on the tetraploid nature of cotton could offer a reference to investigate the evolutionary tend of other genes.

To identify the evolutionary relationship of DREB gene family, the arrangement of gene structures and conserved motifs were analyzed respectively in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii. Firstly, for each cotton species, all DREB genes were divided into three subgroups (I-III) based on their evolutionary relationship (Fig. 5). Next, one conserved motif (motif 1) in all DREB genes contained the conserved AP2 domain (Additional file 3) were identified (Fig. 5), suggesting that it was conserved highly during the evolution of cotton. Additionally, for each cotton species, the conserved motifs were similar in the same subgroup (Fig. 5). Notedly, we observed that in DREB genes located on the same chromosome, some conserved motifs were presented. The similar results have been showed in the previous studies [48]. These results above might be attributed to the polyploid changes that occurred in plant genome. Analysis of the conserved domains showed that the conserved motifs of DREB gene family from four cottons were present in almost all genes (Fig. 5), which indicated that the domains of DREB family genes were highly conserved. However, the similarity of other sequences was lower compared to the domains, which indicated that DREB family genes of cotton have shown some diversity during the evolution process. Similar to these results, the distribution of gene structure and conserved motifs provided an insight to evolutionary relationship [49]. The promoter cis-acting elements were involved in the regulation of gene expression, and therefore the gene function could be preliminarily predicted by analyzing the promoter cis-acting elements of DREB family genes. Further, the cis-acting elements of DREB family genes were predicted in four cottons, respectively (Fig. 5). These results suggested that expect the basic elements TATA-box and CAAT-box, the cis-acting elements of DREB family gene could be divided into three categories: plant growth and development elements, phytohormone- response elements, and stress-response elements (Fig. 5). Moreover, we found that the promoter regions of DREB genes contained more elements related to light response (Fig. 5), which indicated that DREB family genes might have an intrinsic relationship with circadian rhythm regulation. Additionally, MeJA responsive elements, salicylic acid responsive elements, and defense and stress responsive elements were identified in all four species (Fig. 5), suggesting that DREB family genes might play important role in biotic stress resistance. Similarly, AP2/ERF-DREB family genes were identified as having a role in biotic stress responses in potato [50]. The structural analysis of DREB family genes from four cottons showed that most DREB genes (76.68–88.75%) did not contained introns (Fig. 5). And, the proportion of UTR and CDS showed significantly different in each cotton species. The diversity of DREB gene structure could elucidate the functional diversification, which might be due to evolutionary changes in plant genome [51].

Generally, TFs are involved in diverse plant processes via specifically binding to cis-elements in the promoter region of target genes [30], and thus one of the important features of TFs is its nuclear localization. In this study, the subcellular localization of DREB proteins was predicted in four cotton species based on bioinformatics analysis, suggesting that DREB proteins might be primarily located in the nucleus (Fig. 6). However, these results should be checked by using the fluorescent proteins tag-based imaging techniques in near future. Our results were consistent with the previous study [39], and supported by that DREB transcription factors play mainly the important roles in regulation of gene expression [19].

G. hirsutum (cotton TM-1), which is widely used as a genetic standard line, is cultivated extensively, accounting for more than 90% of cultivated cotton worldwide [34, 37]. A large number of genes and gene families have been studied in G. hirsutum. So, it was used for gene expression analysis in our study. Additionally, DREB genes for analyzing the salt/osmotic stress responses were picked based on the gene expression analysis from Cotton Functional Genomics Database, in which the expression of these genes was significantly induced under stress condition. Herein, these DREB genes were further confirmed as candidate genes involved in response to early salt (Fig. 7) and osmotic (Fig. 8) stress in G. hirsutum. However, GhDREB genes showed different expression levels during salinity and osmotic condition (Figs. 7 and 8), implying the functional divergence of GhDREB family members. This is consistent with the above conclusion that the different cis-acting elements were detected in same DREB subfamily (Fig. 5). Similarly, the overexpression of TaDREB3 could increase the tolerance of wheat to high temperature, dehydration, and salt stresses [24]. In barley, DREB gene expression was upregulated in response to salt and drought stress [23]. The expression of DvDREB2A in chrysanthemum could be induced by drought, high salt, and low temperature [52]. Collectively, the previous studies suggested that in plant kingdom, many DREB genes were involved in response to multiple abiotic stresses, such as salt, extreme temperature, and drought stimuli [10, 20, 52, 53].

Taken together, we have identified DREB subfamily genes from four cotton species, including G. barbadense, G. hirsutum, G. arboreum, and G. raimondii. Our results might facilitate future research on DREB subfamily genes in cotton species, and provide a foundation to further explore the underlying roles of this important transcriptional factor family. These results may have applications in the selection of valuable candidate DREB family genes for functional studies, and shed light on the potential roles of genetic improvement involved in agricultural production and stress tolerance in cotton crops.

Conclusions

In this study, we addressed the 535 DREB family genes of Gossypium barbadense, Gossypium hirsutum, Gossypium arboreum, and Gossypium raimondii. Phylogenetic analysis confirmed that all DREB genes were classified into six groups. Further, the evolutionary relationship and diversification of cotton DREB genes were systematic investigated, among which, the phylogeny, chromosomal distribution, synteny analysis, gene structure, subcellular localization, and gene expression in response to salinity and osmotic stress were carried out on each cotton species. These findings from this study will provide valuable information for investigating cotton DREB genes, and lay the foundation for functional research of DREB genes in near future.

Methods

Identification of the DREB gene family in four cotton species

The gene sequences of Arabidopsis AtDREB were retrieved from the Plant Transcription Factor Database (PlantTFDB; http://planttfdb.gao-lab.org). The genome sequences of Gossypium barbadense (AD2), Gossypium hirsutum (AD1), Gossypium arboreum (A2), and Gossypium raimondii (D5) were obtained from Cotton Functional Genomics Database (https://cottonfgd.org/ [54]). Based on the unique domain of the DREB family genes, AP2 domain (PF00847), Hidden Markov Model (HMM) profile of the PF00847 were obtained from Pfam 35.0 (http://pfam.xfam.org/). All coding domain sequences (CDS) contained PF00847 in four cotton species were searched by HMM search function of ToolKit Biologists Tools (TBtools) software (https://github.com/CJ-Chen/TBtools) to obtain possible DREB family members. The amino acid sequences were searched for conserved domains using CDD-Search in NCBI and SMART software, and the members of DREB family members were identified according to the number and type of conserved domains.

Construction of phylogenetic tree of cotton DREB family genes

The phylogenetic trees of DREB subfamily genes from four cottons were constructed by MEGA (V7.0) software. The multiple sequence alignment of protein sequences for DREB genes coding region in Arabidopsis and four cottons (G. barbadense, G. hirsutum, G. arboreum, and G. raimondii) were carried out by ClustalW tool with default parameters [55]. The best model of phylogenetic tree was calculated and constructed with MEGA, and then a phylogenetic tree of all DREB proteins was constructed using the maximum likelihood method with the following parameters: poisson correction, pairwise deletion, and 1000 bootstrap replicate. The constructed evolutionary tree was visualized and beautified with the online iTOL tool (https://itol.embl.de/).

The physical distribution of cotton DREB family genes on the chromosome

According to the initial position and length of chromosome, MapChart software (https://www.wur.nl/en/show/Mapchart.htm [56]) was employed to generate the distribution of cotton DREB genes on their corresponding chromosomes in silico. The chromosome location information and genome annotation files of DREB family genes in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii are obtained from the cotton functional genomics database. Chromosome distribution of DREBs genes from the four cottons was presented by using TBtools software.

Gene duplication and micro‑synteny analysis

The collinearity and the syntenic relationship were investigated among G. barbadense, G. hirsutum, G. arboreum, and G. raimondii. The complete genomic sequences of above four cotton species as well as respective genome annotation files were analyzed by using the Multiple collinear scanning toolkits (MCScanX [57]) of TBtools software. The obtained results were subjected to TBtools software. The analysis of gene duplication events and the syntenic relationship between the DREB genes among four cotton species were carried out by MCScanX tool [57] and Dual Synteny Plotter software (https://github.com/CJ-Chen/TBtools/) [58], respectively. Advanced circos was used to visualize the collinearity of homologous genes based on the homology between each species and their positions on the genome [58]. Circos Plot and synteny images were constructed and visualized through advanced Circos and dual synteny plotter software to examine segmental duplication gene pairs and orthologous gene conservation of DREB genes.

Analysis of conserved motif, promoter cis-acting elements, and gene structure of DREB family genes

MEME (Multiple Em for Motif Elicitation) tool (5.4.1 version, https://meme-suite.org/meme/tools/meme) [59] was employed for the analysis of conserved motifs from DREB proteins in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii. The phylogenetic trees and conserved motifs were integrated by using TBtools software.

The promoter sequences (2.0 kb of sequence upstream from the transcription start site) of DREB genes of four cottons were obtained from the cotton genomics database. The promoter cis-acting elements of DREB genes are predicted by the PlantCARE online website (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/), and visualized through the TBtools software.

The gene structure information and genome annotation files of DREB subfamily genes in G. barbadense, G. hirsutum, G. arboreum, and G. raimondii were obtained from the cotton functional genomics database. The information of conserved domains was obtained by the CDD-Search function of NCBI. The merging and mapping of these results were conducted by the TBtools software. The exon/intron structure of each DREB gene was analyzed by using the online Gene Structure Display Server 2.0 (http://gsds.cbi.pku.edu.cn/) [60].

Subcellular localization prediction of DREB proteins

The subcellular localizations of all DREB proteins of G. barbadense, G. hirsutum, G. arboreum, and G. raimondii were predicted by WoLF PSORT online tool (https://wolfpsort.hgc.jp/) [61] and CELLO Web server (http://cello.life.nctu.edu.tw/) [62]. The heat maps of these results were conducted by TBtools software.

Plant materials and growth conditions

The cotton seeds (G. hirsutum; TM-1) was provided by Dr. Fuguang Li (Chinese Academy of Agricultural Sciences). Cotton seeds with full particles were selected and soaked in 30% hydrogen peroxide for 1 h to soften the seed coat. Afterwards, the seeds were washed with ultrapure water for 3–5 times to remove the residual hydrogen peroxide. The washed cotton seeds were placed overnight in a petri dish containing distilled water before sowing. Plants were grown for 14 days under the following conditions: 16/8 h (25/26 °C) light/dark cycle in growth chamber [60].

For analysis of osmotic stress tolerance, the two-week-old cotton seedlings were treated with or without 20% PEG6000 for 0, 3, 6, 12, and 24 h, respectively. In order to assay the salt stress tolerance, the two-week-old cotton seedlings were treated with and without 200 mM NaCl for 0, 3, 6, 12, and 24 h. The leaves of cotton seedlings harvested at the indicated time points, were immediately used or frozen in liquid nitrogen, and stored at − 80 °C until further determination.

RNA extraction and real-time quantitative PCR (qPCR)

According to pervious method, the total RNA of cotton leaves was extracted with the Plant total RNA extraction kit (DP441; Tiangen, Beijing, China). RNA concentration was evaluated using the NanoDrop 2000 (Thermo Fisher, Wilmington, USA), and the quality was detected by 1% agarose gel electrophoresis. cDNAs were then synthesized with HiScript®IIQ RT SuperMix for qPCR (Vazyme, Nanjing, China).

According to the gene-specific primers (Additional file 4), the expression of DREB family genes in leaves of PEG- and NaCl-treated cotton seedlings was conducted using the Roche Light Cycler®96 automatic fluorescence quantitative PCR instrument (Roche, America) with ChamQ Universal SYBR qPCR Master Mix (Vazyme, Nanjing, China). Three biological and three technological repeats were performed in qPCR. Relative expression levels of DREB genes were calculated by using the 2−ΔΔCT method [63], and were presented as values relative to that of corresponding control samples at the indicated times. The constitutively expressed Actin7 gene was used as the internal standard control.

Statistical analysis

The statistical analyses were performed using SPSS software (16.0 version; SPSS Inc., Chicago, IL, USA). Data are expressed as the mean ± SE from three independent experiments with three biological replicates for each. According to Duncan's multiple range test, differences were assessed using one-way analysis of variance (ANOVA) at P < 0.05.

Availability of data and materials

The datasets supporting our conclusions of the current study are included in the manuscript and additional file. The Arabidopsis DREB protein sequences were downloaded from the Arabidopsis information source database (http://www.arabidopsis.org).

We did not generate any sequencing data in this study. We have used already published genomic data. The genomic data of cotton were obtained from the Cotton Functional Genomics Database (https://cottonfgd.org/). The raw sequence data of G. barbadense are available in NCBI-BioProject database under accession number PRJNA433615. Data from G. hirsutum were retrieved from NCBI-BioProject database under accession number PRJNA503326. The genomic data of G. arboreum were accessible through NCBI-BioProject PRJNA382310. Similarly, data of G. raimondii were obtained from NCBI-Bioproject PRJNA171262.

References

  1. Peck S, Mittler R. Plant signaling in biotic and abiotic stress. J Exp Bot. 2020;71(5):1649–51.

    Article  CAS  PubMed  Google Scholar 

  2. Zandalinas SI, Fichman Y, Devireddy AR, Sengupta S, Azad RK, Mittler R. Systemic signaling during abiotic stress combination in plants. Proc Natl Acad Sci USA. 2020;117(24):13810–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Devireddy AR, Zandalinas SI, Fichman Y, Mittler R. Integration of reactive oxygen species and hormone signaling during abiotic stress. Plant J. 2021;105(2):459–76.

    Article  CAS  PubMed  Google Scholar 

  4. Yoon Y, Seo DH, Shin H, Kim JH, Kim MC, Jang G. The role of stress-responsive transcription factors in modulating abiotic stress tolerance in plants. Agronomy. 2020;10(6):788.

    Article  CAS  Google Scholar 

  5. Luscombe NM, Thornton JM. Protein-DNA interactions: amino acid conservation and the effects of mutations on binding specificity. J Mol Biol. 2002;320(5):991–1009.

    Article  CAS  PubMed  Google Scholar 

  6. Badis G, Berger MF, Philippakis AA, Talukder S, Gehrke AR, Jaeger SA, et al. Diversity and complexity in DNA recognition by transcription factors. Science. 2009;324(5935):1720–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Wani SH, Anand S, Singh B, Bohra A, Joshi R. WRKY transcription factors and plant defense responses: latest discoveries and future prospects. Plant Cell Rep. 2021;40(7):1071–85.

    Article  CAS  PubMed  Google Scholar 

  8. Li C, Ng CKY, Fan LM. MYB transcription factors, active players in abiotic stress signaling. Environ Exp Bot. 2015;114:80–91.

    Article  CAS  Google Scholar 

  9. Phukan UJ, Jeena GS, Tripathi V, Shukla RK. Regulation of Apetala2/Ethylene response factors in plants. Front Plant Sci. 2017;8:150.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Sakuma Y, Liu Q, Dubouzet JG, Abe H, Shinozaki K, Yamaguchi-Shinozaki K. DNA-binding specificity of the ERF/AP2 domain of Arabidopsis DREBs, transcription factors involved in dehydration- and cold-inducible gene expression. Biochem Biophys Res Commun. 2002;290(3):998–1009.

    Article  CAS  PubMed  Google Scholar 

  11. Nakano T, Suzuki K, Fujimura T, Shinshi H. Genome-wide analysis of the ERF gene family in Arabidopsis and rice. Plant Physiol. 2006;40(2):411–32.

    Article  Google Scholar 

  12. Zhou ML, Ma JT, Pang JF, Zhang ZL, Tang YX, Wu YM. Regulation of plant stress response by dehydration responsive element binding (DREB) transcription factors. Afr J Biotechnol. 2010;9(9):9255–69.

    CAS  Google Scholar 

  13. Sharoni AM, Nuruzzaman M, Satoh K, Shimizu T, Kondoh H, Sasaya T, et al. Gene structures, classification and expression models of the AP2/EREBP transcription factor family in rice. Plant Cell Physiol. 2011;52(2):344–60.

    Article  CAS  PubMed  Google Scholar 

  14. Vazquez-Hernandez M, Romero I, Escribano MI, Merodio C, Sanchez-Ballesta MT. Deciphering the role of CBF/DREB transcription factors and dehydrins in maintaining the quality of table grapes cv. Autumn royal treated with high CO2 levels and stored at 0°C. Front Plant Sci. 2017;8:1591.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kimotho RN, Baillo EH, Zhang Z. Transcription factors involved in abiotic stress responses in Maize (Zea mays L.) and their roles in enhanced productivity in the post genomics era. PeerJ. 2019;7:e7211.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Zhao K, Shen X, Yuan H, Liu Y, Liao X, Wang Q, et al. Isolation and characterization of dehydration-responsive element-binding factor 2C (MsDREB2C) from Malus sieversii Roem. Plant Cell Physiol. 2013;54(9):1415–30.

    Article  CAS  PubMed  Google Scholar 

  17. Liang Y, Kang K, Gan L, Ning S, Xiong J, Song S, et al. Drought-responsive genes, late embryogenesis abundant group3 (LEA3) and vicinal oxygen chelate, function in lipid accumulation in Brassica napus and Arabidopsis mainly via enhancing photosynthetic efficiency and reducing ROS. Plant Biotechnol J. 2019;17(11):2123–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Yu Z, Wang X, Zhang L. Structural and functional dynamics of dehydrins: a plant protector protein under abiotic stress. Int J Mol Sci. 2018;19(11):3420.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Agarwal PK, Agarwal P, Reddy MK, Sopory SK. Role of DREB transcription factors in abiotic and biotic stress tolerance in plants. Plant Cell Rep. 2006;25(12):1263–74.

    Article  CAS  PubMed  Google Scholar 

  20. Zhou Y, Chen M, Guo J, Wang Y, Min D, Jiang Q, et al. Overexpression of soybean DREB1 enhances drought stress tolerance of transgenic wheat in the field. J Exp Bot. 2020;71(6):1842–57.

    Article  CAS  PubMed  Google Scholar 

  21. Li Z, Wang G, Liu X, Wang Z, Zhang M, Zhang J. Genome-wide identification and expression profiling of DREB genes in Saccharum spontaneum. BMC Genomics. 2021;22(1):456.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Labbo AM, Mehmood M, Akhtar MN, Khan MJ, Tariq A, Sadiq I. Genome-wide identification of AP2/ERF transcription factors in mung bean (Vigna radiata) and expression profiling of the VrDREB subfamily under drought stress. Crop Pasture Sci. 2018;69(10):1009–19.

    Article  Google Scholar 

  23. Guo B, Wei Y, Xu R, Lin S, Luan H, Lv C, et al. Genome-wide analysis of APETALA2/Ethylene-responsive factor (AP2/ERF) gene family in barley (Hordeum vulgare L.). PLoS One. 2016;11(9):e0161322.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Niu X, Luo T, Zhao H, Su Y, Ji W, Li H. Identification of wheat DREB genes and functional characterization of TaDREB3 in response to abiotic stresses. Gene. 2020;740:144514.

    Article  CAS  PubMed  Google Scholar 

  25. Hwang JE, Lim CJ, Chen H, Je J, Song C, Lim CO. Overexpression of Arabidopsis dehydration- responsive element-binding protein 2C confers tolerance to oxidative stress. Mol Cells. 2012;33(2):135–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Lucas S, Durmaz E, Akpınar BA, Budak H. The drought response displayed by a DRE-binding protein from Triticum dicoccoides. Plant Physiol Biochem. 2011;49(3):346–51.

    Article  CAS  PubMed  Google Scholar 

  27. Liu S, Wang X, Wang H, Xin H, Yang X, Yan J, et al. Genome-wide analysis of ZmDREB genes and their association with natural variation in drought tolerance at seedling stage of Zea mays L. PLoS Genet. 2013;9(9): e1003790.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Hichri I, Muhovski Y, Clippe A, Žižková E, Dobrev PI, Motyka V, et al. SlDREB2, a tomato dehydration-responsive element-binding 2 transcription factor, mediates salt stress tolerance in tomato and Arabidopsis. Plant Cell Environ. 2016;39(1):62–79.

    Article  CAS  PubMed  Google Scholar 

  29. Mei F, Chen B, Du L, Li S, Zhu D, Chen N, et al. A gain-of-function allele of a DREB transcription factor gene ameliorates drought tolerance in wheat. Plant Cell. 2022;34(11):4472–94.

    Article  PubMed  Google Scholar 

  30. Erpen L, Devi HS, Grosser JW, Dutt M. Potential use of the DREB/ERF, MYB, NAC and WRKY transcription factors to improve abiotic and biotic stress in transgenic plants. Plant Cell Tiss Organ Cult. 2018;132:1–25.

    Article  CAS  Google Scholar 

  31. Zhang Y, Islam S, Rather LJ, Li Q. Recent advances in the surface modification strategies to improve functional finishing of cotton with natural colourants-a review. J Clean Prod. 2022;335:130313.

    Article  CAS  Google Scholar 

  32. Wang K, Wang Z, Li F, Ye W, Wang J, Song G, et al. The draft genome of a diploid cotton Gossypium raimondii. Nat Genet. 2012;44(10):1098–103.

    Article  CAS  PubMed  Google Scholar 

  33. Qin YM, Zhu YX. How cotton fibers elongate: a tale of linear cell-growth mode. Curr Opin Plant Biol. 2011;14(1):106–11.

    Article  CAS  PubMed  Google Scholar 

  34. Li F, Fan G, Lu C, Xiao G, Zou C, Kohel RJ, et al. Genome sequence of cultivated Upland cotton (Gossypium hirsutum TM-1) provides insights into genome evolution. Nat Biotechnol. 2015;33(5):524–30.

    Article  PubMed  Google Scholar 

  35. Paterson AH, Wendel JF, Gundlach H, Guo H, Jenkins J, Jin D, et al. Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibers. Nature. 2012;492(7429):423–7.

    Article  CAS  PubMed  Google Scholar 

  36. Fan WB, Wu Y, Yang J, Shahzad K, Li ZH. Comparative chloroplast genomics of Dipsacales species: insights into sequence variation, adaptive evolution, and phylogenetic relationships. Front Plant Sci. 2018;9:689.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Zhang T, Hu Y, Jiang W, Fang L, Guan X, Chen J, et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L. acc. TM-1) provides a resource for fiber improvement. Nat Biotechnol. 2015;33(5):531–7.

    Article  CAS  PubMed  Google Scholar 

  38. Hou Z, Li Y, Cheng Y, Li W, Li T, Du H, et al. Genome-wide analysis of DREB genes identifies a novel salt tolerance gene in wild soybean (Glycine soja). Front Plant Sci. 2022;13:821647.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Mushtaq N, Munir F, Gul A, Amir R, Zafar PR. Genome-wide analysis, identification, evolution and genomic organization of dehydration responsive element-binding (DREB) gene family in Solanum tuberosum. PeerJ. 2021;9:e1164.

    Article  Google Scholar 

  40. Liao X, Guo X, Wang Q, Wang Y, Zhao D, Yao L, et al. Overexpression of MsDREB6.2 results in cytokinin-deficient developmental phenotypes and enhances drought tolerance in transgenic apple plants. Plant J. 2017;89(3):510–26.

    Article  CAS  PubMed  Google Scholar 

  41. Yang Y, Al-Baidhani HHJ, Harris J, Riboni M, Li Y, Mazonka I, et al. DREB/CBF expression in wheat and barley using the stress-inducible promoters of HD-Zip I genes: impact on plant development, stress tolerance and yield. Plant Biotechnol J. 2020;18(3):829–44.

    Article  CAS  PubMed  Google Scholar 

  42. Cannon SB, Mitra A, Baumgarten A, Young ND, May G. The roles of segmental and tandem gene duplication in the evolution of large gene families in Arabidopsis thaliana. BMC Plant Biol. 2004;4(1):10.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Huang X, Song X, Chen R, Zhang B, Li C, Liang Y, et al. Genome-wide analysis of the DREB subfamily in Saccharum spontaneum reveals their functional divergence during cold and drought stresses. Front Genet. 2020;10:1326.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Wu Y, Zhang L, Nie L, Zheng Y, Zhu S, Hou J, et al. Genome-wide analysis of the DREB family genes and functional identification of the involvement of BrDREB2B in abiotic stress in wucai (Brassica campestris L.). BMC Genomics. 2022;23:598.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Flagel LE, Wendel JF. Gene duplication and evolutionary novelty in plants. New Phytol. 2009;183(3):557–64.

    Article  PubMed  Google Scholar 

  46. Zhu Y, Wu N, Song W, Yin G, Qin Y, Yan Y, et al. Soybean (Glycine max) expansion gene superfamily origins: segmental and tandem duplication events followed by divergent selection among subfamilies. BMC Plant Biol. 2014;14:93.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Panchy N, Lehti-Shiu M, Shiu SH. Evolution of gene duplication in plants. Plant Physiol. 2016;171(4):2294–316.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Liu M, Sun W, Ma Z, Zheng T, Huang L, Wu Q, et al. Genome-wide investigation of the AP2/ERF gene family in tartary buckwheat (Fagopyum Tataricum). BMC Plant Biol. 2019;19(1):1–19.

    Article  Google Scholar 

  49. Sohail H, Noor I, Nawaz MA, Ma M, Shireen F, Huang Y, et al. Genome-wide identification of plasma-membrane intrinsic proteins in pumpkin and functional characterization of CmoPIP1-4 under salinity stress. Environ Exp Bot. 2022;202:104995.

    Article  CAS  Google Scholar 

  50. Chacón-Cerdas R, Barboza-Barquero L, Albertazzi FJ, Rivera-Méndez W. Transcription factors controlling biotic stress response in potato plants. Physiol Mol Plant P. 2020;112:101527.

    Article  Google Scholar 

  51. Li P, Chai Z, Lin P, Huang C, Huang G, Xu L, et al. Genome-wide identification and expression analysis of AP2/ERF transcription factors in sugarcane (Saccharum spontaneum L.). BMC Genomics. 2020;21(1):1–17.

    Article  Google Scholar 

  52. Liu L, Zhu K, Yang Y, Wu J, Chen F, Yu D. Molecular cloning, expression profiling and trans-activation property studies of a DREB2-like gene from chrysanthemum (Dendranthema vestitum). J Plant Res. 2008;121(2):215–26.

    Article  CAS  PubMed  Google Scholar 

  53. Eckardt NA. DREB duo defines distinct drought and cold response pathways. Plant Cell. 2019;31(6):1196–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Zhu T, Liang C, Meng Z, Sun G, Meng Z, Guo S, et al. CottonFGD: an integrated functional genomics database for cotton. BMC Plant Biol. 2017;17:101.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Zafar MM, Rehman A, Razzaq A, Parvaiz A, Mustafa G, Sharif F, et al. Genome-wide characterization and expression analysis of Erf gene family in cotton. BMC Plant Biol. 2022;22(1):134.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Voorrips RE. MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered. 2002;93(1):77–8.

    Article  CAS  PubMed  Google Scholar 

  57. Wang Y, Tang H, Debarry JD, Tan X, Li J, Wang X, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40(7): e49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, et al. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020;13(8):1194–202.

    Article  CAS  PubMed  Google Scholar 

  59. He F, Long R, Wei C, Zhang Y, Li M, Kang J, et al. Genome-wide identification, phylogeny and expression analysis of the SPL gene family and its important role in salt stress in Medicago sativa L. BMC Plant Biol. 2022;22(1):295.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Chen X, Wu Z, Yin Z, Zhang Y, Rui C, Wang J, et al. Comprehensive genomic characterization of cotton cationic amino acid transporter genes reveals that GhCAT10D regulates salt tolerance. BMC Plant Biol. 2022;22(1):441.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Horton P, Park KJ, Obayashi T, Fujita N, Harada H, Adams-Collier CJ, et al. WoLF PSORT: protein localization predictor. Nucleic Acids Res. 2007;35(suppl_2):W585–7.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Yu CS, Lin CJ, Hwang JK. Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions. Protein Sci. 2004;13:1402–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods. 2001;25:402–8.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank all colleagues from our laboratory for providing the useful technical assistance and data analysis. We are very grateful to “The High Performance Computing Center of Henan Normal University”. We also appreciate the comments proposed by the respected editors and reviewers for the manuscript.

Funding

This work was supported by Program for Innovative Research Team (in Science and Technology) in University of Henan Province (23IRTSTHN022), National Science Foundation of China (31870312), Postdoctoral Research Grant in Henan Province (202102068), and Project funded by China Postdoctoral Science Foundation (2022M721053).

Author information

Authors and Affiliations

Authors

Contributions

JS, SS, and HD designed and coordinated the research. JS, SS, YZ, and YW performed the main experiments. JS, SS, TD, and YZ analyzed all the data. JS, XG and HD wrote and revised the manuscript. All authors reviewed and approved the manuscript.

Corresponding authors

Correspondence to Xiaoyang Ge or Hongying Duan.

Ethics declarations

Ethics approval and consent to participate

These plant materials, G. barbadense, G. hirsutum, G. arboreum, and G. raimondii, are widely sowed in China. The cotton cultivar (G. hirsutum; TM-1) in this study is from our laboratory.

All experimental research in this study were performed under the permission of relevant institutional, national, and international guidelines and legislation. We declared that wild plants have not been collected/used in the study. Especially, we declared that the permissions were obtained for the collection of plant material and seeds (from Prof. Fuguang Li, Institute of Cotton Research, Chinese Academy of Agricultural Sciences), and the permission was obtained from Prof. Fuguang Li.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

 Table S1. WGD or segmental and tandem gene pairs.

Additional file 2:

 Table S2. List of syntenic gene pairs.

Additional file 3:

 Fig. S1. The phylogenetic relationships and AP2 domains in A G. barbadense, B G. hirsutum, C G. arboretum, and G. raimondii.

Additional file 4:

 Table S3. The sequences of primers for qPCR.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Su, J., Song, S., Wang, Y. et al. Genome-wide identification and expression analysis of DREB family genes in cotton. BMC Plant Biol 23, 169 (2023). https://doi.org/10.1186/s12870-023-04180-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12870-023-04180-4

Keywords