Genome-Wide Identification and Expression Analyses of the Cotton AGO Genes and Their Potential Roles in Fiber Development and Stress Response

Abstract

Argonaute proteins (AGOs) are indispensable components of RNA silencing. However, systematic characterization of the AGO genes have not been completed in cotton until now. In this study, cotton AGO genes were identified and analyzed with respect to their evolution and expression profile during biotic and abiotic stresses. We identified 14 GaAGO, 14 GrAGO, and 28 GhAGO genes in the genomes of Gossypium arboreum, Gossypium raimondii, and Gossypium hirsutum. Cotton AGO proteins were classified into four subgroups. Structural and functional conservation were observed in the same subgroups based on the analysis of the gene structure and conserved domains. Twenty-four duplicated gene pairs were identified in GhAGO genes, and all of them exhibited strong purifying selection during evolution. Moreover, RNA-seq analysis showed that most of the GhAGO genes exhibit high expression levels in the fiber initiation and elongation processes. Furthermore, the expression profiles of GhAGO genes tested by quantitative real-time polymerase chain reaction (qPCR) demonstrated that they were sensitive to Verticillium wilt infection and salt and drought stresses. Overall, our results will pave the way for further functional investigation of the cotton AGO gene family, which may be involved in fiber development and stress response.

1. Introduction

Argonaute (AGO) proteins are core effectors of the RNA-induced silencing complex (RISC), which are well known to regulate gene expression in RNA interference (RNAi) or RNAi-independent pathways [1]. For instance, Arabidopsis AGO10 specifically binds to microRNA166/165 to regulate the development of the shoot apical meristem. A loss of function of AGO10 resulted in the pinhead phenotype in the Arabidopsis ecotype Ler mutant plants [2]. Typically, AGO proteins contain four domains viz. N-terminal (Argo-N), Piwi Argonaute Zwille (PAZ), MID, and PIWI domains. The Argo-N domain is believed to participate in the separation of the small RNA:target duplex, while the PAZ domain contains a specific binding pocket that can anchor small RNAs. The MID domain can bind the 5′ phosphates of small RNAs and anchors small RNAs onto the AGO proteins. The PIWI domain is functionally similar to RNase H with endonuclease activity and is in charge of the cleavage of target mRNA. In addition to these domains, the Argo-L1 and Argo-L2 domains are revealed in a number of AGO proteins [3].

The AGO gene family has been widely studied in a number of plant species. In general, different numbers of AGO genes are present in various plant species. Ten AGO genes have been revealed in Arabidopsis thaliana [4], 19 in Oryza sativa [5], 17 in Zea mays [6], 15 in Solanum lycopersicum [7], 13 in Vitis vinifera [8], 7 in Cucumis sativus [9], 27 in Brassica napus [10], 12 in Capsicum annuum [11], 13 in Citrus sinensis [12], 69 in Triticum aestivum [13], 13 in Phaseolus vulgaris [14], 14 in Solanum tuberosum [15], 18 in Camellia sinensis [3], and 13 in Musa acuminata [16]. However, no AGO genes in Gossypium species have been elucidated to date.

Gossypium hirsutum (AD₁) is an allotetraploid, which evolved from interspecific hybridization between an A-subgenome species and a D-subgenome species around 1–2 million years ago [17]. G. arboreum (A₂) and a G. raimondii (D₅) are considered as the putative donor diploid species for the A- and D-subgenomes, respectively. Cotton has been grown as the most important natural fiber crop and provides approximately 35% of the total fiber consumed worldwide [18]. It is also a vital oilseed and feed crop in the world owing to the high contents of oil and protein in cottonseeds [19]. However, cotton production is severely constrained by several biotic and abiotic stresses such as Verticillium wilt, salt, and drought, which result in decreased yields and inferior harvest quality. In this study, members of the AGO gene family were identified from systematic analyses of the allotetraploid G. hirsutum genome, as well as two diploid progenitors G. arboreum and G. raimondii. The gene structure and conserved domains of these genes were comprehensively analyzed, and the gene duplication events were identified. The expression patterns of GhAGO genes were examined in various organs using public RNA-Seq data and after treatments with Verticillium wilt, salt, and drought via quantitative RT-PCR (qPCR). This study will provide comprehensive information about the AGO genes and pave the way for further investigation of their function in cotton.

2. Materials and Methods

2.1. Identification of Gossypium AGO Genes

A. thaliana AGO genes were retrieved from the Arabidopsis Information Resource (TAIR v10, https://www.arabidopsis.org/) (accessed on 19 November 2021) [20], while rice (O. sativa L., v7.0) AGO genes were obtained from the Phytozome v13 (https://phytozome-next.jgi.doe.gov/) (accessed on 19 November 2021) [21]. We used the HMMsearch program (http://hmmer.org/) (accessed on 22 November 2021) to screen the genome sequences of G. hirsutum (HAU, v1.1), G. arboreum (CRI, v1.0), and G. raimondii (JGI, v2.0) (https://cottonfgd.net/) (accessed on 22 November 2021) [22], employing the hidden Markov model (HMM) profiles of the PAZ domain (PF02170) and PIWI domain (PF02171) downloaded from the Pfam database (http://pfam.xfam.org/) (accessed on 22 November 2021) as queries [23]. The resulting sequences were then verified by the Pfam and Conserved Domain Database (CDD, https://www.ncbi.nlm.nih.gov/cdd) (accessed on 22 November 2019) [24]. The ExPASy ProtParam tool (https://web.expasy.org/protparam/) (accessed on 23 November 2021) was used to predict the molecular weight (MW) and theoretical isoelectric point (pI) of each AGO protein. Subcellular localization analysis was performed using the web server BUSCA (http://busca.biocomp.unibo.it/) (accessed on 23 November 2021) [25].

2.2. Phylogenetic, Gene Structure, and Conserved Domain Analyses

The phylogenetic tree was built by the neighbor-joining (NJ) method using MEGA 11 [26]. Bootstrap analysis was simulated with 1000 replicates. The exon–intron structures were visualized using the Gene Structure Display Server 2.0 (GSDS 2.0, http://gsds.cbi.pku.edu.cn/) (accessed on 22 March 2022) [27]. Conserved domain analysis of the AGO proteins was performed by the HMMER web server (https://www.ebi.ac.uk/Tools/hmmer/search/hmmscan) (accessed on 22 March 2022) using default parameters [28].

2.3. Chromosomal Mapping and Gene Duplication Analyses

The positions of the GhAGO genes were determined by mRNA location information retrieved from the GFF files of G. hirsutum genome. Additionally, the chromosomal distribution of GhAGO genes was illustrated by the MapChart (v2.32) program [29]. Gene duplication events were determined using methods described previously [30]. The Circos program was used to demonstrate the relationships of duplicated genes [31]. The value of nonsynonymous substitutions to synonymous substitutions (Ka/Ks) was calculated using the KaKs_Calculator package [32].

2.4. Cis-Acting Regulatory Element Analysis

We extracted the upstream 1500 bp DNA sequences of the GhAGO genes from the G. hirsutum genome sequences [33] and, then, submitted to the PlantCARE database (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) (accessed on 8 April 2022) [34]. The bed-files obtained from the above database were illustrated using GSDS 2.0 [27].

2.5. Transcriptome Data Analysis

The tissue-specific expression patterns of upland cotton AGO genes were measured using the transcriptome data of G. hirsutum TM-1, which were retrieved from NCBI (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248163) (accessed on 11 April 2022) [35]. The heatmap of the 28 GhAGO genes’ expression profiles were performed using the TBtools package [36].

2.6. Plant Materials and Stress Treatments

Healthy seeds of G. hirsutum cv. Lumian418 were planted in sterilized soil at 28 °C with a photoperiod of 16 h light/8 h dark. Seedlings were grown for two weeks, then gently transferred to Hoagland solution for two days, and finally, transferred to Hoagland solution containing 200 mM NaCl or 15% (w/v) PEG6000. For Verticillium wilt infection, two-week-old seedlings were infected by the high-virulence VD8 strain of Verticillium dahliae (2 × 10⁷ spores/mL) by the root-dip method [37]. Roots from three biological replicates were harvested at 2, 6, and 12 h after treatment.

2.7. Quantitative Real-time PCR Analysis

RNA was isolated using Trizol reagent (Invitrogen, Carlsbad, CA, USA) and digested with RNase-free DNase I (Takara, Dalian, China) to eliminate trace genomic DNA. The quality of RNA samples was investigated by 1% agarose gel electrophoresis, while the concentration was examined by a spectrophotometer (NanoDrop 2000, Waltham, MA, USA). First-strand cDNA was synthesized from 1 µg of RNA using a PrimerScript^TM 1st Strand cDNA Synthesis Kit (Takara, Dalian, China). The qPCR assay was performed in an ABI QuantStudio 5 Real-Time PCR System (Thermo Fisher Scientific, Waltham, MA, USA) using SYBR^® Premix Ex Taq^TM (Takara, Dalian, China) with three replicates. The qPCR procedure was set as follows: one cycle at 95 °C for 3 min, then 40 cycles at 95 °C for 15 s, and 60 °C for 15 s. The cotton Histone3 (AF024716) was used as the internal reference gene [38]. The relative expression levels were calculated according to the 2^−ΔΔCt method [39]. The qPCR primers are listed in Table S1.

2.8. Statistical Analysis

The qPCR data from three biological replicates were analyzed as the mean ± the standard error. The difference between treatment and control was evaluated by Tukey’s honestly significant difference tests. “*” and “**” indicate significant differences at p ≤ 0.05 and p ≤ 0.01, respectively.

3. Results

3.1. Identification and Phylogenetic Analysis of Gossypium AGO Genes

To determine the AGO genes in the genomes of G. raimondii, G. arboretum, and G. hirsutum, we carried out a genome-wide survey using HMMER search with the PAZ domain (PF02170) and PIWI domain (PF02171). After manual inspection and confirmation using the Pfam and CDD databases, 14 G. raimondii AGO (GrAGO), 14 G. arboretum AGO (GaAGO), and 28 G. hirsutum AGO (GhAGO) genes were identified in total (Table S2). The nomenclature of cotton AGO genes was defined based on the closest orthologs in Arabidopsis and rice. Comparison analysis suggested that the G. hirsutum genome harbored all copies of the AGO genes from the two diploid progenitor species. In addition, we found that the length of Gossypium AGO proteins ranged from 359 (GhAGO5c) to 1145 (GaAGO1b) amino acids. The predicted molecular weight ranged from 40.93 to 127.31 kDa, and the calculated pI values ranged from 8.98 to 9.61 (Table S3). Additionally, all Gossypium AGO proteins were predicted to be nuclear proteins, which were highly consistent with AGO proteins from Arabidopsis and rice.

To identify the evolutionary relationship of the Gossypium AGO proteins, we constructed a phylogenetic tree using the NJ method (Figure 1). The result indicated that the Gossypium AGO proteins clustered into four separate subgroups (i.e., AGO1, MEL1, AGO4, and ZIPPY), which was consistent with Arabidopsis, rice, and pepper [11]. Among the four subgroups, subgroup AGO1 contained the most AGO members with 23 Gossypium AGO proteins, while subgroup MEL1 contained the least AGO members with only 9 Gossypium AGO proteins. In addition, both AGO4 and ZIPPY subgroups contained 12 Gossypium AGO proteins. Furthermore, compared with those in Arabidopsis, AGO1, AGO4, AGO5, AGO7, and AGO10 have greatly expanded in Gossypium species, while AGO3, AGO8, and AGO9 were not detected in cotton.

3.2. Genomic Localization and Gene Duplication Analysis of GhAGO Genes

GhAGO genes were anchored to their corresponding chromosomes (Figure 2). A total of 27 GhAGO genes unevenly distributed on 16 chromosomes and one (GhAGO5e) was mapped on a D-subgenome scaffold region (Scaffold635). Among the 16 chromosomes, 11 chromosomes (A06, A07, A08, A10, A12, D06, D07, D08, D10, D12, and D13) contained a single GhAGO gene. In addition, 2 chromosomes (A05 and A13) and 3 chromosomes (A09, D05, and D09) possessed two and four GhAGO genes, respectively (Figure 2).

To reveal GhAGO duplication events, we performed a genome-wide collinearity analysis using the MCScanX program [40]. As a result, 2159 collinear blocks were identified in the G. hirsutum (HAU) genome and 54,839 genes (78.12%) were collinear genes. In particular, 22 pairs of GhAGO genes were segmental duplications, which involved 22 GhAGO genes, whereas two pairs (GhAGO5a/GhAGO5b and GhAGO5c/GhAGO5d) were tandem duplications (Figure 3 and Table S4). The Ka/Ks values of all duplication pairs were less than 1, ranging from 0.063 to 0.859 (Table S4), indicating that the AGO gene family in G. hirsutum had undergone purifying selection during the long evolutionary period.

3.3. Gene Structure and Conserved Domain Analysis of GhAGO Genes

We analyzed the GhAGO gene structure and display it in Figure 4. The number of exons in the GhAGO genes varied from 3 in GhAGO2d, GhAGO7a, GhAGO7b, and GhAGO7c to 26 in GhAGO5a, which might be related to the diversification of their functions. Interestingly, the GhAGO genes from the same phylogenetic subgroup share highly similar gene structures. For example, in the subgroup AGO4, most GhAGO genes and the counterparts from G. arboretum and G. raimondii contained 21 introns and 22 exons. However, GhAGO6d had 22 introns and 23 exons. Additionally, GhAGO5c showed a distinct pattern of gene structure. It seemed to have lost part of the nucleotides from both the PAZ and Piwi domains.

Seven conserved domains were identified among the 28 GhAGO proteins (Figure 4). As a result, with the exception of GhAGO5c, all GhAGO proteins shared four conserved domains, N-terminal ArgoN domain, PAZ, ArgoL1, and C-terminal Piwi domain, which is in line with known plant AGOs [41,42]. Notably, a Gly-rich Ago1 domain was revealed in front of the ArgoN domain in the GhAGO1a/b/c/d/e proteins. Additionally, previous efforts revealed that the Piwi domain exhibited substantial homology to RNase H and enabled some AGO proteins to cleave target RNAs pairing to the bound small RNAs [43]. Generally, the catalytic activity is associated with the conserved triad (aspartate-aspartate-histidine, DDH) and an additional conserved histidine at position 798 (H798) in Arabidopsis AGO1 [5,8]. In this study, we aligned the Piwi domains of all GhAGO proteins and 10 AtAGO proteins using ClustalX (http://www.clustal.org/, accessed on 22 November 2021). The result indicated that 17 GhAGO proteins contained the conserved DDH/H798 residues (Table S5). Among the other 11 GhAGO proteins, 6 GhAGOs, all from the AGO4 subgroup, contained the conserved DDH triad, but the histidine at the 798th position in AtAGO1 was replaced by a proline. In GhAGO2a and GhAGO2d, the histidine at the 986th position in AtAGO1 was replaced by an aspartate.

3.4. Cis-Acting Regulatory Elements in Promoter Region of GhAGO Genes

A number of cis-acting regulatory elements were revealed in the promoter regions of the 28 GhAGO genes. The essential regulatory elements such as TATA-box and CAAT-box were detected in all GhAGO genes. Other cis-acting elements identified in the GhAGO genes can be divided into four groups according to their functional properties, namely light response, stress response, plant growth, and hormone-responsive elements. The distribution of these elements identified in promoter regions of each GhAGO gene is illustrated in Figure 5. In particular, we identified eight elements associated with six hormone responses. These cis-acting elements include the AuxRR-core and TGA-element related to auxin response, the GARE-motif and P-box associated with gibberellin response, ABRE involved in abscisic acid (ABA) response, ERE related to ethylene-response, the CGTCA-motif involved in methyl jasmonate (MeJA) response, and the TCA-element associated with salicylic acid (SA) response. Additionally, the promoter sequences of some GhAGO genes also contain several elements involved in environmental stress responses, including pathogen defense (AT-rich and TC-rich), cold (DRE and LTR), wounding (WUN-motif), and anaerobic stress (ARE). Taken together, these results suggested that the GhAGO genes might play vital roles in regulating cotton response to hormone and environmental stresses.

3.5. GhAGO Gene Expression Patterns in Diverse Cotton Tissues

The expression patterns of GhAGO genes in diverse tissues were investigated by using the method described by Zheng et al. [44]. The results indicated that the expression levels of the GhAGO genes were significantly different in diverse tissues (Figure 6). GhPNH1a and GhPNH1b were detected with high expression levels in the leaf and ovule 20 days post-anthesis (dpa). GhAGO5c showed a relatively distinctive expression pattern compared to all the other analyzed genes. This was due to the significant difference in its level of accumulation in the pistil. Additionally, all of the GhAGO genes showed extremely low expression levels in the calycle, petal, and stamen (Figure 6). In particular, most of the GhAGO genes were expressed highly in the early (−3–5 dpa) and middle (3–20 dpa) stages of ovule development, suggesting that these genes may function in the fiber initiation and elongation processes.

3.6. GhAGO Genes Were Influenced by Verticillium Wilt Infection

To investigate whether the GhAGO genes play roles in pathogen defense in cotton, we analyzed the transcriptional patterns of the GhAGO genes in response to V. dahliae infection by qPCR at 2, 6, and 12 h post-inoculation (hpi). The results demonstrated that Verticillium wilt infection significantly affected the expression of the GhAGO genes (Figure 7). Half of the tested GhAGO genes were significantly suppressed by Verticillium wilt infection, while five GhAGO genes (GhAGO2a, GhAGO4a, GhAGO7c, GhAGO7d, and GhPNH1d) were remarkably induced by 2h treatment with Verticillium wilt infection. In addition, five members out of the tested GhAGO genes contained pathogen-responsive element AT-rich or TC-rich. Verticillium wilt infection significantly influenced the expression levels of GhAGO2d, GhAGO7a, GhPNH1a, and GhPNH1d, but had almost no effect on the expression of GhAGO1a (Figure 7). Interestingly, some GhAGO genes might have undergone neofunctionalization after duplication. For instance, the expression level of GhAGO7a was significantly downregulated by 2h treatment with V. dahliae infection, while its homeolog, GhAGO7d, was greatly upregulated (Figure 7).

3.7. GhAGO Genes Were Modulated by Salt and Drought Stresses

Accumulating evidence indicates that RNA silencing exerts essential functions in plant resistance to abiotic stresses [11,13]. Therefore, the expression of the GhAGO genes was evaluated after salt and drought treatments. The qPCR assay showed that salt and drought stresses resulted in significant differences in the expression levels of the GhAGO genes (Figure 8). Surprisingly, all of the tested GhAGO genes were significantly downregulated by salt stress, indicating that these GhAGO genes might be important in response to salt stress. Similarly, the expression levels of seven GhAGO genes were downregulated by drought stress. In addition, the expression of GhAGO1a decreased significantly at 2 h after drought treatment, increased remarkably at 6 h, and then, decreased at 12 h. The expression level of GhAGO10b was greatly upregulated at 2 h and downregulated at 6 h. Conversely, the expression levels of GhAGO2a, GhAGO2d, and GhAGO7c were not modified under drought stress (Figure 8).

4. Discussion

4.1. Characterization of Gossypium AGO Genes

In this study, we carried out a survey of the Gossypium AGO genes at the whole-genome scale to examine their potential functions in fiber development and stress response. Consequently, 28 GhAGO genes were identified in the G. hirsutum genome, which is twice as much as that found in G. arboreum and G. raimondii, presumably because G. hirsutum is a tetraploid species evolved from the hybridization between the diploid G. raimondii and G. arboretum [17]. Specifically, the respective number of AGO2, AGO4, AGO6, AGO7, AGO10, and PNH1 genes in the tetraploid G. hirsutum is exactly double the numbers in diploid cotton, suggesting that no recent gene duplication or deletion occurred in these AGO genes after allotetraploid formation. However, gene deletion in AGO1 and gene duplication in AGO5 were observed because tetraploid upland cotton contains 5 AGO1 and 5 AGO5 genes, while each diploid cotton contains 3 AGO1 and 2 AGO5 genes, respectively (Figure 1).

Cotton AGO genes were classified into four subgroups viz. AGO1, MEL1, AGO4, and ZIPPY, which is consistent with the previous results based on 206 AGO genes from 23 plant species [45]. The AGO genes, however, were divided into three subgroups (AGO1/5/10, AGO4/6/8/9, and AGO2/3/7) in several plant species such as common bean [14] and potato [15]. Indeed, compared to three subgroups in common bean and potato, we split the subgroup AGO1/5/10 into two subgroups AGO1 and MEL1 (homolog of AGO5) with well-supported bootstrap values, which is consistent with the results reported for rice [5] and grapevine [8]. Extensive studies showed that several AGO subgroups have expanded through lineage-specific duplication [45]. For instance, compared with Arabidopsis, subgroups AGO1 and MEL1 (AGO5) expanded in a number of flowering species. More specifically, common bean harbors four AGO10 genes [14], whereas wheat contains 15 AGO5 paralogs [13]. In cotton, expansion of AGO5 and AGO10 has been also identified. The upland cotton contains five AGO5 and six AGO10 paralogs (Figure 1). In addition, AGO1 (five members), AGO4 (four members), and AGO7 (four members) have significantly expanded in the G. hirsutum genome. Meanwhile, we further investigated AGO gene duplication in the upland cotton genome and revealed 24 duplicated GhAGO gene pairs, including 22 segmental duplication pairs and 2 tandem duplication pairs (Figure 3). These results suggested that segmental duplication was the primary driving force for the expansion of the GhAGO genes. Similarly, the expansion of wheat AGO genes was dominated by segmental duplication [13]. Furthermore, all duplicated gene pairs had undergone strong purifying selection in the process of evolution (Table S4), indicating that purifying selection exerted an important role in the formation of the GhAGO gene functions. Previous studies have demonstrated that the cotton lineage experienced a five- to sixfold ploidy increase approximately 57–70 million years ago (Mya) [46], while the A and D ancestor genome diverged around 6.2−7.1 Mya [17]. In this study, about half of the duplication events occurred after the cotton lineage ploidy increase. Additionally, one duplicate (GhAGO7a/GhAGO7d) might occur after the divergence of the two diploid progenitors (Table S4).

4.2. Differential Expression of GhAGO Genes in Response to Multiple Stresses

Extensive evidence shows that AGO2 and AGO4 play vital roles in the modulation of plant immunity [47,48,49]. In Arabidopsis, AtAGO2, which was highly induced by the bacterial pathogen Pseudomonas syringae, regulates innate immunity by binding miRNA393b^* to orchestrate exocytosis of antimicrobial pathogenesis-related proteins [47]. AtAGO4 acts as a positive regulator of DNA methylation and mediates resistance to P. syringae [48]. In Nicotiana attenuata, among all 11 NaAGO genes, only transcripts of NaAGO4a and NaAGO4b were induced by hemibiotrophic pathogen Fusarium brachygibbosum infection. A loss of function of NaAGO4 confers mutant hypersusceptible to F. brachygibbosum [49]. Moreover, a strong upregulation of PvA_AGO2a and PvA_AGO4a expression was observed in P. vulgaris after inoculation with the fungus Colletotrichum lindemuthianum [14]. Additionally, StAGO15 in Solanum tuberosum belonging to the AGO4 clade was suppressed at 0–3 dpi and then significantly activated at 4–5 dpi when Phytophthora infestans had completed the transition from the biotrophic to necrotrophic stage [15]. In this study, to determine the contribution of some of the GhAGO genes involved in the defense response in upland cotton, we performed expression analysis in roots inoculated with the fungus V. dahliae based on the qPCR assay. The expression levels of GhAGO2a, GhAGO4a, GhAGO7c, GhAGO7d, and GhPNH1d were significantly upregulated at 2 hpi. On the contrary, the expression of GhAGO1b, GhAGO2d, GhAGO5b, GhAGO5d, GhAGO7a, GhAGO7b, and GhAGO10b was downregulated (Figure 7). Notably, the transcripts of most of the GhAGO genes containing pathogen-responsive element were significantly influenced by V. dahliae infection. These results suggest that these GhAGO genes may participate in the regulation of cotton defense.

Emerging evidence suggests that the AGO genes not only contribute to biotic stress response, but also modulate plant resistance to abiotic stresses such as salt, drought, cold, and heat stresses [8,13,50]. Arabidopsis AtAGO2 was significantly induced by salt stress. Further analysis revealed that AtAGO2 improves Arabidopsis salt tolerance by interacting with an R3H-type RNA binding protein MUG13.4 and then influences the SOS signaling cascade at the transcription level [51]. In Z. mays, 17 ZmAGO genes have been reported, and all ZmAGO genes were induced under drought stress. Surprisingly, transcripts of ZmAGO18a and ZmAGO18b were 539.9-fold and 730.8-fold upregulated at 1h under drought stress in comparison to the control. The mutation of ZmAGO18b rendered plants hypersensitive to drought stress [50]. In Setaria italica, the mutation of SiAGO1b resulted in enhanced susceptibility to drought stress [52]. In addition, the expression levels of most of the TaAGO genes in T. aestivum were influenced by salt and drought stresses [13]. Similarly, most of the VvAGO genes in V. vinifera were downregulated under salt and drought stresses [8]. Salt and drought are considered the most destructive abiotic stresses to cotton. In this study, all of the tested GhAGO genes were significantly suppressed by salt stress. Two GhAGO genes (GhAGO1a and GhAGO10b) exhibited upregulation in response to drought stress at specific time points. This result indicated that these GhAGO genes may play important roles in plant adaptation to salt and drought stresses.

5. Conclusions

This study performed a systematic analysis of the AGO gene family in three Gossypium species. A total of 14 GrAGO, 14 GaAGO, and 28 GhAGO genes were revealed in the genomes of G. raimondii, G. arboretum, and G. hirsutum, respectively. The Gossypium AGO genes were divided into four distinct subgroups. Duplication analysis demonstrated that the GhAGO genes experienced segmental and tandem duplication events during evolution. Furthermore, the predicted cis-acting regulatory elements of the GhAGO genes suggested their functional association with growth, development, hormone response, and environmental stress response. Tissue-specific expression analysis indicated that most of the identified GhAGO genes may play pivotal roles in the fiber initiation and elongation processes. Our qPCR analyses revealed that a number of GhAGO genes were involved in the response to V. dahliae infection and salt and drought stresses. Overall, our results will provide a solid foundation for further functional characterization of the GhAGO genes in response to biotic and abiotic stresses.