Evolution and Stress Responses of Gossypium hirsutum SWEET Genes

Abstract

The SWEET (sugars will eventually be exported transporters) proteins are sugar efflux transporters containing the MtN3_saliva domain, which affects plant development as well as responses to biotic and abiotic stresses. These proteins have not been functionally characterized in the tetraploid cotton, Gossypium hirsutum, which is a widely cultivated cotton species. In this study, we comprehensively analyzed the cotton SWEET gene family. A total of 55 putative G. hirsutum SWEET genes were identified. The GhSWEET genes were classified into four clades based on a phylogenetic analysis and on the examination of gene structural features. Moreover, chromosomal localization and an analysis of homologous genes in Gossypium arboreum, Gossypium raimondii, and G. hirsutum suggested that a whole-genome duplication, several tandem duplications, and a polyploidy event contributed to the expansion of the cotton SWEET gene family, especially in Clade III and IV. Analyses of cis-acting regulatory elements in the promoter regions, expression profiles, and artificial selection revealed that the GhSWEET genes were likely involved in cotton developmental processes and responses to diverse stresses. These findings may clarify the evolution of G. hirsutum SWEET gene family and may provide a foundation for future functional studies of SWEET proteins regarding cotton development and responses to abiotic stresses.

1. Introduction

In plants, sugars are an essential carbon and energy source for growth and development. Additionally, unicellular organisms use sugars as a principal carbon source for energy production and as nutrients supplements. Multicellular organisms acquire sugars, such as glucose or sucrose, which are transported from source to sink organs and are associated with the cellular exchange of carbon and energy [1,2]. Sugar transport is controlled by the SUT (sucrose transporter), SWEET (sugars will eventually be exported transporters; sugar effluxer) proteins and so on [3,4,5]. The SUT proteins have been detected in many species and are responsible for the loading sucrose into phloem across cell membranes [6]. Meanwhile, the SWEET proteins were identified as sugar effluxers that transport monosaccharides or disaccharides across intracellular or plasma membranes [7,8]. The SWEET proteins are characterized by seven conserved MtN3_saliva transmembrane domains, which comprise a pair of PQ-loop repeats. Members of the SWEET family have been identified in plants, human, protozoa, metazoa, fungi, bacteria, and archaea [9,10,11]. Recent investigations detected 17 and 21 SWEET genes in Arabidopsis thaliana and rice, respectively, and up to 52 in soybean [12,13,14]. A phylogenetic analysis revealed that these genes can be classified into four clades [12,14,15]. Clade members interact with each other to facilitate the efficient diffusion of sugars for required cellular activities, but are also critical for nectar production and seed, embryo, and pollen development [2,12,16,17]. For example, AtSWEET2, AtSWEET16 and AtSWEET17 not just collectively mediate vacuolar sugar transport, and that exhibit strong expression in root cortical cells [16,17,18].

The SWEET gene family has been investigated in A. thaliana [12], rice [13], grapevine [19], soybean [14], tomato [20], potato [15], cucumber [21] and wheat [22]. The first identified plant SWEET gene is AtSWEET1, which encodes a protein involved in supplying nutrients to the gametophyte or nectary [12]. Moreover, AtSWEET8 is required for pollen viability [12], while AtSWEET11 and AtSWEET12 are localized in the plasma membrane, where they function as the predominant regulators of sucrose, glucose and fructose fluxes and contribute to the response to cold stress and water deficit conditions [3,23]. The overexpression of AtSWEET16 results in enhanced freezing tolerance [24]. In rice, OsSWEET1a, OsSWEET2a, OsSWEET3a, OsSWEET4, OsSWEET5, and OsSWEET15 are highly expressed in flowers or panicles at different developmental stages [13]. An earlier study confirmed that OsSWEET14-silenced mutants produced relatively small seeds and exhibited delayed growth [13]. Additionally, the expression levels of most SlSWEET genes were observed to be upregulated several fold in response to salt and temperature stresses in tomato [20]. Furthermore, BnSWEET12 expression is positively induced by abscisic acid (ABA), gibberellin (GA) and brassinosteroid (BR) treatments in oilseed rape [25]. Therefore, SWEET genes are involved in diverse physiological and biochemical pathways [15,19,26].

Cotton is one of the most important fiber crops worldwide, and cottonseed oil can be used as biodiesel [27,28]. Gossypium hirsutum, a tetraploid cotton, is the most widely cultivated cotton species, that supplies about 98% of the produced textile fibers [29]. However, to date, there have been relatively few studies conducted on cotton SWEET proteins. A recent study confirmed that the expression of a certain SWEET gene in cotton is induced by a transcription activator-like effector, which influences Xanthomonas citri subsp. malvacearum pathogenicity [30]. The suppressed expression of GhSCP2D, which encodes a putative sterol carrier protein, activates a cohort of SWEET genes, resulting in the elongation of cotton fiber cells [31]. Thus, a comprehensive analysis of the G. hirsutum SWEET gene family is essential. The completion of the tetraploid upland cotton genome sequencing project has enabled a genome-wide identification and functional analysis of the SWEET gene family in cotton.

In the present study, we conducted a genome-wide analysis to identify 55 putative SWEET gene family members in G. hirsutum. We also analyzed their phylogenetic relationships, structures, localization, genetic variations, and expression profiles in different tissues and in response to cold, heat, salt, and drought stresses. Our results provide the basis for future investigations of the roles of the SWEET proteins in developing cotton plants.

2. Results

2.1. Identification and Characterization of the G. hirsutum SWEET Gene Family

A total of 58 putative G. hirsutum SWEET genes were detected, and their coding sequences were manually confirmed using the FGENESH gene prediction tool as well as cDNA sequences after performing PCR with gene-specific primers. Consequently, three genes whose genome sequences and coding sequences were very short were excluded, and the coding sequences of 22 SWEET genes were modified from their initial annotation in the CottonGen database. Finally, the 55 SWEET genes confirmed in the G. hirsutum genome were named GhSWEET1–GhSWEET55 according to their chromosomal position (Tables 1 and S2). The number of amino acids, Molecular weight (MW) and Isoelectric point (pI) were calculated on the basis of the predicted protein sequences. Furthermore, for comparative analyses, 31 and 30 SWEET genes were identified in the Gossypium raimondii and Gossypium arboreum genomes, respectively, using the same methods (Table S3).

Table 1.

Characteristics of the G. hirsutum SWEET genes.

Gene Name	Locus ID	Protein Length (aa)	MW (Da)	pI	Chromosome	Strand	Location
GhSWEET1 a	Gh_A01G0160	308	34,313.8	6.39	A01	Plus	1,535,209—1,538,355
GhSWEET2 a	Gh_D01G0202	311	34,634.0	5.58	D01	Plus	1,717,547—1,720,877
GhSWEET3	Gh_A02G0694	252	27,923.1	10.03	A02	Plus	11,719,940—11,721,641
GhSWEET4	Gh_A02G0950	295	33,137.6	6.99	A02	Minus	39,459,757—39,462,756
GhSWEET5 a	Gh_D02G0542	237	25,846.9	8.41	D02	Minus	7,239,140—7,241,801
GhSWEET6	Gh_D02G0740	252	27,953.1	10.03	D02	Plus	11,060,974—11,062,676
GhSWEET7	Gh_D02G1767	283	31,651.9	7.84	D02	Minus	60,142,543—60,144,477
GhSWEET8 a	Gh_A03G0461	315	36,712.1	9.97	A03	Plus	10,189,210—10,190,467
GhSWEET9	Gh_D03G0812	255	28,298.8	9.88	D03	Plus	27,825,277—27,828,205
GhSWEET10	Gh_D03G1078	306	34,864.5	9.09	D03	Minus	35,954,015—35,955,277
GhSWEET11	Gh_A04G0861	289	32,503.8	7.90	A04	Minus	55,950,153—55,951,883
GhSWEET12	Gh_D04G0509	257	28,434.0	9.08	D04	Plus	8,687,271—8,689,780
GhSWEET13	Gh_D04G0510	237	26,541.9	9.22	D04	Plus	8,700,584—8,702,611
GhSWEET14	Gh_D04G1360	289	32,430.8	7.90	D04	Minus	44,257,813—44,259,535
GhSWEET15	Gh_A05G3127	237	26,556.0	9.22	A05	Minus	80,724,645—80,726,627
GhSWEET16 a	Gh_A05G3128	257	28,415.9	9.41	A05	Minus	80,737,385—80,739,919
GhSWEET17 a	Gh_D05G1448	230	26,064.4	7.18	D05	Minus	12,908,186—12,909,403
GhSWEET18 a	Gh_A07G0421	276	30,996.2	9.64	A07	Plus	5,396,344—5,398,990
GhSWEET19	Gh_A07G0422	280	31,849.3	9.74	A07	Plus	5,417,794—5,419,168
GhSWEET20	Gh_A07G0423	277	31,350.6	9.61	A07	Plus	5,441,891—5,443,770
GhSWEET21 a	Gh_A07G0535	235	26,705.5	9.96	A07	Minus	7,195,579—7,196,830
GhSWEET22	Gh_D07G0486	274	30,709.0	9.63	D07	Plus	5,386,349—5,388,888
GhSWEET23 a	Gh_D07G0487	280	31,876.4	9.74	D07	Plus	5,393,200—5,394,555
GhSWEET24 a	Gh_D07G0604	235	26,719.5	9.96	D07	Minus	6,953,608—6,954,845
GhSWEET25	Gh_A08G0663	275	30,950.1	9.18	A08	Minus	13,836,649—13,837,903
GhSWEET26 a	Gh_D08G1194	258	22,445.5	9.80	D08	Plus	38,403,775—38,405,327
GhSWEET27 a	Gh_A09G1524	250	13,186.5	9.50	A09	Minus	68,504,026—68,505,455
GhSWEET28	Gh_A10G1468	229	24,973.0	7.40	A10	Minus	79,914,294—79,915,964
GhSWEET29 a	Gh_D10G0303	230	20,367.1	9.64	D10	Minus	2,608,669—2,610,376
GhSWEET30	Gh_D10G1709	229	24,987.0	7.40	D10	Minus	47,620,123—47,621,535
GhSWEET31	Gh_A11G0347	298	33,545.7	8.12	A11	Minus	3,182,270—3,183,655
GhSWEET32 a	Gh_A11G2442	238	26,970.4	7.89	A11	Minus	82,756,807—82,758,639
GhSWEET33	Gh_A11G2446	300	32,893.8	9.72	A11	Minus	82,867,355—82,869,323
GhSWEET34	Gh_A11G2655	251	28,283.5	9.25	A11	Plus	88,688,141—88,689,610
GhSWEET35	Gh_D11G0404	298	33,559.8	8.34	D11	Minus	3,381,068—3,382,434
GhSWEET36 a	Gh_D11G2760	234	26,215.2	8.15	D11	Minus	57,260,671—57,262,412
GhSWEET37 a	Gh_D11G2763	301	33,196.0	8.79	D11	Minus	57,340,382—57,342,337
GhSWEET38	Gh_D11G2975	234	26,205.7	9.32	D11	Plus	60,589,364—60,591,634
GhSWEET39 a	Gh_A12G1747	295	33,121.3	7.09	A12	Minus	79,539,983—79,541,579
GhSWEET40	Gh_A12G2152	254	28,192.6	10.07	A12	Minus	84,324,046—84,326,052
GhSWEET41 a	Gh_D12G1898	295	33,145.2	6.39	D12	Minus	51,822,209—51,825,243
GhSWEET42	Gh_D12G2328	254	28,177.6	9.98	D12	Minus	56,415,133—56,417,086
GhSWEET43	Gh_A13G0907	249	26,768.6	8.59	A13	Minus	47,687,824—47,689,812
GhSWEET44 a	Gh_A13G1434	269	30,513.0	8.89	A13	Plus	72,034,747—72,035,999
GhSWEET45	Gh_A13G1540	245	27,174.2	8.60	A13	Minus	73,975,893—73,977,109
GhSWEET46 a	Gh_D13G1146	249	27,432.3	7.43	D13	Minus	34,001,023—34,002,217
GhSWEET47	Gh_D13G1148	248	26,555.3	9.14	D13	Minus	34,107,380—34,109,414
GhSWEET48 a	Gh_D13G1763	269	30,478.9	8.89	D13	Minus	52,413,794—52,414,799
GhSWEET49	Gh_D13G1875	245	27,108.2	8.60	D13	Minus	53,858,190—53,859,414
GhSWEET50	Gh_A02G1806	250	27,450.6	9.85	scaffold476_A02	Plus	194,323—196,496
GhSWEET51	Gh_A11G3285	235	26,286.6	8.85	scaffold3047_A11	Minus	190,443—192,707
GhSWEET52	Gh_D03G1717	250	27,574.7	9.37	scaffold3920_D03	Plus	575,817—577,994
GhSWEET53	Gh_D08G2730	275	30,879.1	9.18	scaffold4310_D08	Plus	24,770—26,035
GhSWEET54 a	Gh_D12G2692	252	16,414.6	8.47	scaffold4580_D12	Plus	11,296—12,765
GhSWEET55	Gh_Sca013374G01	273	30,600.0	9.85	scaffold13374	Plus	471—1,821

^a The coding sequences of genes are manually re-annotated. MW: Molecular weight; pI: Isoelectric point.

2.2. Phylogenetic Analysis and Structural Features of the SWEET Gene Family

To investigate the evolutionary relationships among the SWEET genes from three Gossypium species, A. thaliana, and rice, an unrooted phylogenetic tree was constructed using the neighbor-joining method (Figure 1). The SWEET genes were clearly divided into four classes (Clades I, II, III, and IV), consistently with the reported results for A. thaliana and rice SWEET genes [12,14]. The largest clade was Clade III, which consisted of five OsSWEET genes, seven AtSWEET genes, and 45 cotton SWEET genes (12 G. raimondii, 12 G. arboreum, and 21 G. hirsutum SWEET genes). Clade I comprised six OsSWEET and three AtSWEET genes, while Clade II included seven OsSWEET and five AtSWEET genes. Clades I and II contained an equal number of cotton SWEET genes, with six G. raimondii, six G. arboreum, and eleven G. hirsutum SWEET genes. Clade IV consisted of only two A. thaliana and one rice SWEET genes, but seven G. raimondii, six G. arboreum, and 12 G. hirsutum SWEET genes. These results suggested that SWEET gene families expanded, especially in Clade III and IV, during cotton evolution.

Figure 1.

Neighbor-joining phylogenetic tree of SWEET genes from three cotton species, A. thaliana, and rice. The SWEET genes were classified into four clades, which are indicated by different colors.

To elucidate the structural features of G. hirsutum SWEET genes, the exon-intron organization was analyzed. Gene structures generally exhibited a highly conserved distribution of exons and introns within the same clade or subclade (Figure 2B). Specifically, most Clade I genes (except GhSWEET38) and all Clade IV genes contained five introns. Meanwhile, Clade II was divided into two subclades, IIa and IIb. The six subclade IIa genes had five introns, while the subclade IIb genes contained four introns. Of the 21 Clade III genes, 19 had five introns, while GhSWEET10 comprised four introns and GhSWEET48, which was relatively short, contained three introns. These results revealed that introns were distributed consistently among members of the same phylogenetic clade.

Figure 2.

Phylogenetic relationships and structural features of GhSWEET genes. (A) Neighbor-joining phylogenetic tree of GhSWEET genes. The SWEET genes were classified into four clades, and blue, pink, purple, and orange represent Clades I, II, III, and IV, respectively. (B) Exon-intron organization of GhSWEET genes. Green and black correspond to exons and introns, respectively.

2.3. Chromosomal Distribution and Homology of G. hirsutum SWEET Genes

G. hirsutum is a model for polyploid crop domestication, whose complex allotetraploid genome (AtDt, where “t” stands for tetraploid) was sequenced and oriented to 26 pseudochromosomes. Among the 55 G. hirsutum SWEET genes, 49 were localized on 12 of 13 At chromosomes and 11 of 13 Dt chromosomes (Figure 3). Six genes (GhSWEET50, GhSWEET51, GhSWEET52, GhSWEET53, GhSWEET54, and GhSWEET55) were distributed on scaffolds whose exact locations on chromosomes were not determined. Chromosomes At-chr7, At-chr11, Dt-chr11 and Dt-chr13 contained four genes, while chromosomes Dt-chr2, Dt-chr4, Dt-chr7, and Dt-chr3 included three genes each. Interestingly, 14 genes were clustered in seven tandem duplication regions at the chromosomes Dt-chr4, At-chr5, At-chr7, Dt-chr7, At-chr11, Dt-chr11, and Dt-chr13. Of these, similar clusters were identified between homoeologous chromosomes (At-chr7 and Dt-chr7 as well as At-chr11 and Dt-chr11).

Figure 3.

Chromosomal distribution of GhSWEET genes. Blue, orange and black indicate the At subgenome chromosomes, Dt subgeome chromosomes, and scaffolds, respectively. Green lines indicate tandem duplicated genes. The scale is provided in megabases.

Most angiosperms have undergone at least one paleopolyploidy event during evolution [32,33]. The genome of G. hirsutum (AtDt), which is a typical allotetraploid, underwent a diploidization following the divergence of this cotton species from its diploid ancestors, G. arboreum (AA) and G. raimondii (DD). Firstly, we analyzed the SWEET paralogs between the At and Dt subgenomes (Figure 4). A total of 23 paralogous gene pairs were identified, with 18 of them anchored across eight homoeologous chromosomes pairs. To further clarify the divergence during cotton evolution, we analyzed the orthologous SWEET genes between the G. hirsutum Dt subgenome and the corresponding ancestral D diploid genome (G. raimondii), as well as between the G. hirsutum At subgenome and the corresponding ancestral A diploid genome (G. arboreum) (Figure S1). A total of 28 genes in the Dt subgenome had orthologs in the G. raimondii genome, while 23 genes in the At subgenome had orthologs in the G. arboreum genome. This revealed that the collinear relationship of the SWEET genes between the Dt subgenome and the G. raimondii genome was higher than that between the At subgenome and the G. arboreum genome, indicating either that more At subgenome SWEET genes were lost during evolution, or that genome sequencing was incomplete, leading to the identification of only a portion of the existing genes.

Figure 4.

Distribution of paralogous SWEET gene pairs between G. hirsutum At and Dt subgenomes. The 12 At subgenome chromosomes, 11 Dt subgenome chromosomes, and six scaffolds are indicated by different colors, with their names on the periphery. Green lines link the homologous genes located on homoeologous chromosomes in the At and Dt subgenomes. Purple lines link the homologous genes located on non-homoeologous chromosomes in the At and Dt subgenomes and scaffolds.

2.4. Analysis of Cis-Acting Regulatory Elements in the Putative GhSWEET Promoters

Plant SWEET genes are associated with responses to abiotic stresses [34,35,36]. Therefore, we analyzed the 1.5-kb sequence upstream of the ATG start codon using the PlantCARE database to detect putative cis-acting regulatory elements [37]. The GhSWEET promoters contained multiple conserved regulatory elements responsive to phytohormones and environmental stresses (Table S4). Elements related to defense stress, heat, GA, salicylic acid (SA), and drought were widely distributed across the promoter regions of 43, 42, 38, 36, and 35 SWEET genes, respectively. According to the regulatory elements in their promoters, 31 GhSWEET genes were responsive to methyl jasmonate (MeJA), while 25 genes were responsive to ABA and ethylene. In contrast, low temperatures and auxin appeared to affect a low number of GhSWEET genes. These findings implied that GhSWEET genes were involved in various regulatory mechanisms in cotton plants’ response to stresses.

2.5. G. hirsutum SWEET Gene Expression Profiles in Different Tissues

To investigate the roles of GhSWEET genes in different developmental processes, we used publicly available RNA-seq data to analyze SWEET gene expression patterns in seven different G. hirsutum tissues (root, stem, leaf, flower, ovule, seed, and fiber). The SWEET genes were clustered in four groups according to their expression profiles (Figure 5). The five Group I genes were highly expressed in the ovule and fiber. Meanwhile, the Group II genes, GhSWEET1, GhSWEET2, and GhSWEET13, were expressed specifically in the ovule, while most of the Group III genes were expressed in the root and flower. Moreover, the genes in the first clade of Group III (GhSWEET3, GhSWEET6, GhSWEET7, GhSWEET40, GhSWEET42, GhSWEET38, and GhSWEET51) were very highly expressed in the seed and ovule. Additionally, the Group IV genes exhibited diverse expression patterns, primarily in six tissues (root, stem, leaf, flower, ovule, and fiber). These results suggested that the SWEET genes were important for vegetative and reproductive growth.

Figure 5.

Expression profiles of GhSWEET genes in different tissues. GhSWEET gene expression profiles are divided into four groups. The FPKM values were calculated by RNA-seq data, and shown as a heat map. The colored bar represents the scale of the relative expression levels.

2.6. Stress-Induced Expression Patterns of G. hirsutum SWEET Genes

Plants are often subjected to multiple abiotic stresses during growth and development. Thus, the expression patterns of the 55 GhSWEET genes were analyzed in plants exposed to different durations of cold, heat, salt, and drought stresses for different times by RNA-seq data downloaded from the public database. The expression of some SWEET genes was significantly affected by these treatments (Figure 6). The expression levels of six genes (GhSWEET5, GhSWEET20, GhSWEET45, GhSWEET49, GhSWEET51, and GhSWEET55) were increased by all four abiotic stresses. GhSWEET5, GhSWEET49, and GhSWEET55 expression levels were upregulated at 6 h but decreased quickly at 12 h under heat and salt stress conditions. The paralogous genes GhSWEET45 and GhSWEET49 exhibited similar expression patterns in response to multiple stresses. Overall, cold stress produced lower SWEET gene expression levels than the other types of stress. Additionally, some genes were differentially expressed at only one time point of a particular stress treatment. For example, GhSWEET11 expression was upregulated after 1 h of cold treatment, but was subsequently downregulated.

Figure 6.

Expression patterns of GhSWEET genes in response to various stresses. The ratios of FPKM between treatments (at 1, 3, 6 and 12 h) and controls (at 0 h) were calculated by RNA-seq data, and shown as a heat map. The colored bar represents the scale of the relative expression levels.

To further verify SWEET gene expression patterns in response to stresses, we selected five SWEET genes whose expression was induced by heat and drought conditions, and examined their expression profiles following exposure to 38 °C or 20% PEG 6000 (Figure 7). The qRT-PCR data revealed that the expression levels of the five genes were significantly upregulated by these two treatments. The GhSWEET20 and GhSWEET51 transcript levels quickly peaked after 1 h of heat treatment, whereas the increased expression of the GhSWEET5 transcript occurred after 3 h. Meanwhile, the GhSWEET49 and GhSWEET55 expression levels gradually increased, peaking after 6 h. In contrast, the drought-induced transcription of four SWEET genes (GhSWEET5, GhSWEET20, GhSWEET49 and GhSWEET55) peaked after 1 h of stress induction, but then rapidly decreased afterward. These results implied that GhSWEET genes might enhance the adaptability of plants to diverse abiotic stresses.

Figure 7.

Relative expression levels of the selected GhSWEET genes in response to heat and drought stresses. The GhHis3 was used as an internal control. Relative gene expression levels were calculated based on the 2^−ΔΔCT method. The mean expression values were calculated on the basis of three independent replicates. Error bars indicate the standard deviations of three independent experiments. The relative expression levels of selected GhSWEET genes after treats were compared with the controls at the same time point. Significant differences were determined by t-test (* p < 0.05; ** p < 0.01).

2.7. Genetic Variations and Artificial Selection of GhSWEET Genes During Cotton Domestication

The increase in the available re-sequencing data for wild and cultivated cotton species has enabled the analysis of the changes in GhSWEET genes that occurred during cotton domestication. In this study, the single nucleotide polymorphisms (SNPs) in all GhSWEET genes were obtained for the wild and domesticated species using re-sequencing data from 31 wild and 321 cultivated cotton varieties (Table S5). A total of 16 genes lacked SNPs in the wild and domesticated cotton lines. In the wild species, 37 GhSWEET genes had at least one SNP, and the SNPs of 26 GhSWEET genes were detected in exons. In the domesticated species, 37 GhSWEET genes included SNPs, and the SNPs of 27 genes were present in exons. Additionally, the Dt subgenome comprised more SWEET genes with SNPs in exons than the At subgenome. Further analyses revealed that these genes with SNPs were distributed in the four clades of the phylogenetic tree. Specifically, Clade III members had 55 SNPs, i.e., more SNPs than the members of the other clades. Additionally, GhSWEET42 had 15 SNPs, i.e., more than any other gene. A subsequent calculation of the SNP density of all GhSWEET genes revealed that the SNP density of 10 SWEET genes (including eight At subgenome genes) in domesticated cotton was lower than in wild cotton (Figure 8). Moreover, GhSWEET19 and GhSWEET37 in domesticated upland cotton had no SNPs. Furthermore, the Fst values of the SNP loci during domestication indicated that 65.2% of the loci (88 of 135 SNP loci) were not under selection during evolution (Fst < 0.15). However, nine SNPs in seven G. hirsutum SWEET genes (GhSWEET14, GhSWEET16, GhSWEET32, GhSWEET37, GhSWEET42, GhSWEET45, and GhSWEET54) satisfied the Fst value cutoff of 0.45. These results indicated that domestication might have a critical effect on cotton SWEET genes, perhaps because of their importance in cotton development and response to various stresses.

Figure 8.

Genetic variations in G. hirsutum SWEET genes. (A) SNP density in 39 GhSWEET genes. (B) Fst values of the SNP loci in 39 GhSWEET genes. The SNPs with a Fst value greater than 0.45 were considered to be loci under selection during domestication.

3. Discussion

The SWEET proteins have fundamental roles affecting sugar transport in plants, animals, and microorganisms. Genome-wide studies of the SWEET sugar transporter genes have been conducted for many plants [14,21]. However, a genome-wide characterization and functional analysis of cotton SWEET genes is still lacking. Additionally, there is increasing evidence that cotton SWEET proteins are crucial for stress responses and fiber development [30,31,38]. Thus, the comprehensive analysis of the identified G. hirsutum SWEET genes described herein may provide valuable information to elucidate the role of the corresponding gene family in cotton species.

3.1. Expansion of the Gossypium SWEET Gene Family

G. hirsutum is an allotetraploid species that resulted from the hybridization between an A-genome species resembling G. arboreum and a D-genome species resembling G. raimondii [29,39]. In the present study, 31, 30, and 55 SWEET genes were identified in the G. raimondii, G. arboreum, and G. hirsutum genomes, respectively. The fact that the SWEET genes are more abundant in cotton species than in A. thaliana (17), rice (21), grapevine (17), tomato (29), and cucumber (17) suggests that the cotton SWEET gene family expanded during evolution. Previous studies concluded that a Gossypium-specific whole-genome duplication (WGD) event occurred in the diploid cotton species G. raimondii and G. arboreum [33,40,41]. Therefore, the expansion of the SWEET gene family in G. raimondii and G. arboreum may have been due to an ancient WGD, with a subsequent polyploidization event leading to duplicate copies of genes in the G. hirsutum genome. Meanwhile, some SWEET gene clusters were detected in the G. hirsutum At and Dt subgenomes. Tandem duplication events have been important for the expansion of many gene families [42,43,44]. Therefore, we speculated that tandem duplications might have amplified some SWEET genes, leading to the emergence of SWEET gene clusters.

The SWEET genes are divided into four clades based on their phylogenetic relationships, with cotton presenting more Clade III and IV genes than other analyzed plant species. For example, the A. thaliana, rice, grapevine, tomato and cucumber genomes contain two [12], one [13], four [19], two [20] and three [21] Clade IV SWEET genes, respectively, i.e., fewer than the 7, 6, and 12 Clade IV SWEET genes present in the G. raimondii, G. arboreum, and G. hirsutum genomes, respectively. These differences suggested that Clade III and IV genes might be vital for the adaptation of cotton species to environmental conditions.

3.2. Expression Patterns of SWEET Gene Family

The spatiotemporal expression profiles of the SWEET genes have been reported for some species, including A. thaliana, rice, soybean, and cucumber. Most soybean SWEET genes are highly expressed in developing flowers and seeds [14]. Additionally, the eight tested CsSWEET genes from the four evolutionary clades were expressed at very high levels in male and female flowers [21]. In this study, we analyzed the GhSWEET transcript levels in seven tissues. According to our analyses of phylogenetic clusters (Figure 2A), similar exon-intron structures among most members of the same subfamily resulted in similar expression patterns in different tissues. More than half of the examined SWEET genes were predominantly expressed in the root, flower, ovule, and fiber, with relatively low expression levels in the stem and seed. Physiologically, the root, which absorbs nutrients from the soil, is the most fundamental organ with essential roles related to the maintenance of normal plant growth and development. Additionally, the flower, ovule, and fiber of cotton plants are associated with organogenesis, signal transduction pathways, and various metabolic processes. Our results implied that SWEET proteins exhibited diverse functions affecting cotton development and growth.

Previous studies revealed that SWEET genes not only influence plant growth, but they are also important for controlling plant responses to environmental stresses and phytohormones [15,20]. Thus, we investigated G. hirsutum SWEET gene expression patterns in response to different stresses (Figure 6). We observed that the expression levels of six GhSWEET genes were significantly upregulated by all four of the chosen treatments. A qRT-PCR analysis of five SWEET genes of them revealed that the expression levels of five of these SWEET genes were significantly up-regulated under heat and drought stress conditions (Figure 7). Specifically, two genes (GhSWEET20 and GhSWEET51) and four genes (GhSWEET5, GhSWEET20, GhSWEET49, and GhSWEET55) were considerably increased within 1 h of heat treatment and drought treatment, respectively. Therefore, we deduced that these genes have important roles in cotton stress resistance. In the future, these genes could be useful targets for breeding new cotton varieties with enhanced stress tolerance. Additionally, several hormone-responsive regulatory elements were identified in GhSWEET promoters (Table S4). This observation indicated that some SWEET genes might be expressed as part of phytohormone signaling pathways.

3.3. Functional Divergence of the Gossypium hirsutum SWEET Gene Family

Duplicated genes generally face one of three fates: non-functionalization, sub-functionalization, or neo-functionalization [45,46]. In this study, almost half of the duplicated gene pairs exhibited no differences in expression. These genes may have retained some essential functions based on gene dosage during evolution [47,48]. However, some paralogous SWEET gene pairs were associated with tissue-dependent diverse functions during plant growth and development. We observed that GhSWEET16 and GhSWEET33 were highly expressed in the root, leaf, and fiber, whereas their paralogous counterparts, GhSWEET12 and GhSWEET37, were silenced in these tissues (Figure 5). Thus, we speculated that the non-functionalization of one member of a duplicated gene pair might have been due to the maintenance of an appropriate gene dosage during cotton evolution. Additionally, one member of some duplicated gene pairs underwent neo-functionalization via WGD and polyploidy events. For example, AtSWEET1 is crucial for the regulation of floral development in A. thaliana [12]. In this study, its cotton orthologs (GhSWEET50 and GhSWEET52) influenced flowering, but were also abundantly expressed in the fiber, suggesting that these genes may contribute to cotton fiber development. In contrast, GhSWEET44 was specifically expressed in the flower, while its paralogous counterpart, GhSWEET48, was highly expressed in the root and flower. The variability in the expression profiles of paralogs in G. hirsutum may have been caused by several complex regulatory activities following gene duplication events.

Tandem duplications may have significantly affected the divergence of gene functions during evolution [49,50]. We examined the expression patterns of 14 tandem duplicated genes from seven clusters (Figure 5). As a result, all tandem duplicated pairs were differentially expressed. For example, GhSWEET32 was characteristically expressed in the leaf, while its tandem duplicated gene, GhSWEET33, was predominately expressed in the root, leaf and fiber. GhSWEET46 was specifically expressed in the stem, while its tandem duplicated gene, GhSWEET47, was abundantly expressed in developing flowers. This implied that tandem duplicated genes in the tetraploid cotton species might have exhibited functional redundancies and evolved new functions.

To date, the functions of some A. thaliana and rice SWEET proteins have been determined [12,13]. However, there is a relative lack of information regarding the functions of cotton SWEET proteins. In the present study, we provide evolutionary and functional insights into the roles of cotton SWEET gene family which will help future functional studies of the SWEET genes during cotton development and stress responses.

4. Materials and Methods

4.1. Identification and Characterization of G. hirsutum SWEET Genes

The G. hirsutum genome sequence and annotation files [39] were downloaded from the CottonGen website (available online: https://www.cottongen.org). Additionally, the related sequences of published A. thaliana and rice SWEET genes [13,14] were obtained from the TAIR 10 database (available online: http://www.arabidopsis.org) and the Rice Genome Database (http://www.ricedata.cn/gene/), respectively and their encoded protein sequences were used as queries in BLASTP searches of the G. hirsutum genome data. Next, putative SWEET proteins were filtered on the basis of the presence of a conserved MtN3_saliva domain using Pfam database analyses (E-value cut-off of 1.0; http://pfam.xfam.org/search#searchBatchBlock). The candidate SWEET genes were subsequently aligned. Meanwhile, inconsistencies in the sequence alignment were resolved and absent sequences were predicted using FGENESH software [51] and cloned to determine the complete sequences. The G. raimondii [33] and G. arboreum [40] SWEET genes were identified using similar methods.

The SWEET genes were named according to their chromosomal locations in G. hirsutum. Other related biological details, including the number of amino acids, molecular weight (MW), and isoelectric point (pI), were calculated using the DNAMAN (version 9.0) software (Lynnon Biosoft, Quebec City, QC, Canada).

4.2. Phylogenetic Analysis

Phylogenetic trees were constructed using full-length SWEET protein sequences and the neighbor-joining method of the MEGA (version 7.0) (Tokyo Metropolitan University, Tokyo, Japan) program with the pairwise gap deletion option [52]. The bootstrap analysis was conducted with 1000 replicates.

4.3. Gene Structural Features and Chromosomal Localization

Exon-intron structures were analyzed using the GSDS server (available online: http://gsds.cbi.pku.edu.cn/) [53]. Meanwhile, the physical positions of all cotton SWEET genes on chromosomes were determined according to the genome annotation files downloaded from the CottonGen website (available online: https://www.cottongen.org). The SWEET genes were mapped using MapInspect software [54] or Circos (version 0.69) software [55]. Tandem duplications were analyzed on the basis of the same or neighboring chromosomal regions [56]. Homologous genes including paralogous and orthologous genes were identified according to phylogenetic trees and sequence alignments [57,58].

4.4. RNA-Sequencing Analysis

To analyze the G. hirsutum SWEET gene expression profiles, the transcriptome data for various G. hirsutum TM-1 tissues were downloaded from the NCBI Sequence Read Archive (accession number PRJNA248163; available online: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA248163/). The gene expression levels were calculated on the basis of the normalized fragments per kilobase of transcript per million mapped fragments (FPKM). Hierarchical clustering was depicted using the Genesis (version 1.7.7) program [59].

4.5. Stress Treatments

Cotton seeds (TM-1) were sown in plastic pots filled with sand for about 10 days at 28 °C. The seedlings were transferred to a liquid culture medium under a 16h light-8h dark photoperiod until the third true leaf appeared. The cotton seedlings were treated with 20% PEG 6000 or heated at 38 °C. The leaves harvested at 0, 1, 3, 6, and 12 h, were immediately frozen in liquid nitrogen and stored at −80 °C for subsequent total RNA extraction.

4.6. RNA Isolation and Quantitative Real-Time Polymerase Chain Reaction Analysis

Total RNA was extracted from G. hirsutum leaves using the TRIzol reagent (Tiangen, Beijing, China). The quality and quantity of the purified RNA were assessed by 1.5% gel electrophoresis and with a NanoDrop 2000 spectrophotometer. For each sample, 1 μg RNA was reverse transcribed to cDNA using the PrimeScript™ RT Reagent Kit with gDNA Eraser (TaKaRa, Tokyo, Japan). Gene-specific primers were designed using the Primer-BLAST program (available online: https://www.ncbi.nlm.nih.gov/tools/primer-blast/index.cgi?LINK_LOC=BlastHome) (Table S1). The G. hirsutum His3 housekeeping gene was used as an internal control. A quantitative real-time polymerase chain reaction (qRT-PCR) was conducted with a Lightcycler480 96 system (Roche, Mannheim, Germany) in a 20 μL reaction mixture containing SYBR Premix Ex Taq (2×) (TaKaRa). The qRT-PCR was completed with three biological replicates, each comprising three technical replicates. The PCR conditions were as follows: 95 °C for 30 s; 40 cycles of 95 °C for 5 s, 60 °C for 1 min, and 72 °C for 10 s; 50 °C for 30 s. The relative gene expression levels were calculated based on the 2^−ΔΔCT method [60]. Finally, the gene expression patterns were analyzed using the Origin 8 software (OriginLab Corporation, Northampton, MA, USA).

4.7. Analysis of Genetic Variations and Artificial Selection of G. hirsutum SWEET Genes

The whole genome re-sequencing data for 31 wild and 321 cultivated cotton lines were downloaded from the NCBI Sequence Read Archive (accession number SRP080913) [61]. Single nucleotide polymorphisms (SNPs) in SWEET genes were detected, and Fst values were calculated using Genepop (version 4.0) [62]. The SNP loci with a Fst value > 0.45 were identified as putative sites under selection during domestication.

5. Conclusions

In this study, we comprehensively analyzed G. hirsutum SWEET genes regard to their classification, phylogenetic relationships, structure, cis-acting regulatory elements, chromosomal localization, genetic variations, and expression patterns in diverse tissues and in response to various stresses. Our findings revealed that the G. hirsutum SWEET gene family expanded during evolution, perhaps because of a WGD, some tandem duplications, and a polyploidy event. The GhSWEET genes have significant roles related to cotton development and stress responses. The data presented herein provide a foundation for future functional studies of the most interesting cotton SWEET genes. Our findings may also be relevant for breeding new cotton varieties with enhanced stress tolerance and for accelerating research regarding cotton development.

Abbreviations

SWEET	Sugars will eventually be exported transporters
SUT	Sucrose transporter
ABA	Abscisic acid
SA	Salicylic acid
GA	Gibberellin
MeJA	Methyl jasmonate
BR	Brassinosteroid
MW	Molecular weight
pI	Isoelectric point
FPKM	Fragments per kilobase of transcript per million mapped fragments
qRT-PCR	Quantitative real-time polymerase chain reaction
SNP	Single nucleotide polymorphism
WGD	Whole-genome duplication

Supplementary Materials

Supplementary materials can be found at http://www.mdpi.com/1422-0067/19/3/769/s1. Table S1. Sequences of qRT-PCR primers of the selected GhSWEET genes and the GhHis3 internal reference gene. Table S2. Coding sequences of G. hirsutum SWEET genes. Table S3. Details regarding G. raimondii and G. arboreum SWEET genes. Table S4. Analysis of cis-acting regulatory elements in the promoters of putative GhSWEET genes responsive to environmental stresses and phytohormones. Table S5. Fst values of the SNPs in GhSWEET genes between wild and cultivated upland cotton lines. Figure S1. Distribution of orthologous pairs of SWEET genes between the G. hirsutum Dt subgenome and G. raimondii D genome (A) and between the G. hirsutum At subgenome and G. arboreum A genome (B). Different colored lines represent SWEET genes in four clades based on phylogenetic trees.

Author Contributions

Daigang Yang, Xiongfeng Ma and Wei Li conceived and designed the research. Zhongying Ren, Kuan Sun, Fei Zhang, Chengxiang Song and Xiaojian Zhou performed the experiments. Xiaoyu Pei, Yangai Liu, Kunlun He and Wensheng Zhang prepared the materials. Wei Li, Zhongying Ren and Zhenyu Wang analyzed the data. Wei Li and Zhongying Ren wrote the paper. Daigang Yang, Xiongfeng Ma and Zhenyu Wang revised the manuscript. All authors read and approved the final manuscript.

Conflicts of Interest

The authors declare that they have no competing financial interests.