- Open Access
Zinc finger transcription factor ZAT family genes confer multi-tolerances in Gossypium hirsutum L.
Journal of Cotton Research volume 4, Article number: 24 (2021)
ZAT (Zinc Finger of Arabidopsis thaliana) proteins are composed of a plant-specific transcription factor family, which play an important role in plant growth, development, and stress resistance. To study the potential function of ZAT family in cotton, the whole genome identification, expression, and structure analysis of ZAT gene family were carried out. In this study, our analysis revealed the presence of 115, 56, 59, and 115 ZAT genes in Gossypium hirsutum, G. raimondii, G. arboreum and G. barbadense, respectively. According to the number of domains and phylogenetic characteristics, we divided ZAT genes of four Gossypium species into 4 different clades, and further divided them into 11 subfamilies. The results of collinearity analysis showed that segmental duplication was the main method to amplify the cotton ZAT genes family. Analysis of cis-elements of promoters indicated that most GhZAT genes contained cis-elements related to plant hormones and abiotic stress. According to heatmap analysis, the expression patterns of GhZAT genes under different stresses indicated that GhZAT genes were significantly involved in the response to cold, heat, salt, and PEG stress, possibly through different mechanisms. Among the highly expressed genes, we cloned a G. hirsutum gene GhZAT67. Through virus-induced gene silencing (VIGS), we found that its expression level decreased significantly after being silenced. Under alkaline treatment, the wilting degree of silenced plants was even greater than the wild type, which proved that GhZAT67 gene was involved in the response to alkaline stress.
Plants were constantly affected by a wide variety of biotic and abiotic factors during their growth and development. In response to these challenges, some responsive genes, including zinc finger genes, were induced to resist adversity through physiological and morphological changes. Zinc finger proteins (ZFPs) were one kind of the most abundant transcription factors in higher plants (Takatsuji 1999). According to the number and location of cysteine and histidine residues, ZFPs were classified into different groups, including C2H2, C2HC5, C2C2, CCCH, C3HC4, C4, C4HC3, C6, and C8 (Sun et al. 2019). Previous studies on ZFP transcription factors found that they played an important role to promote plant growth and development, and most of the ZFPs transcription factors proteins may participate in the response to various stresses, including cold, hot, drought, salt, oxidation stress, osmotic stress, and wound stress (Kiełbowicz-Matuk 2012; Wang et al. 2009).
ZAT genes belong to the subclass C1-2i of C2H2 ZFPs family (Xie et al. 2019). As an important part of the C2H2 ZFPs family, ZAT genes played an important role in resisting adversity. Studies had found that they were widely involved in the response to abiotic stresses. In Arabidopsis, ZAT12 was mainly related to oxidative stress (Le et al. 2016; Rizhsky et al. 2004). ZAT12 was also involved in response to strong light, ROS signal transduction, and low temperature in Arabidopsis (Davletova et al. 2005; He et al. 2020; Vogel et al. 2005; Wang et al. 2020). The exogenous gene GmZAT4 expressed in Arabidopsis can enhance the tolerance of transgenic Arabidopsis to drought and salt stress (Sun et al. 2019). The ZAT7 transgenic plants in Arabidopsis can inhibit growth and show higher tolerance to salt stress (Ciftci-Yilmaz et al. 2007). Studies found that transgenic plants expressing Zat10 gene had stronger resistance to drought, heat, osmotic stress, and salt stress (Mittler et al. 2006; Sakamoto et al. 2004). Overexpression of Zat10 can increase the transcription of ascorbate peroxidase 1, 2 (APX1, 2) and iron superoxide dismutase 1 (FSD1), thereby eliminating ROS in plants (Mittler et al. 2006). It was shown that the ZAT gene family indeed played an important role in adversity stresses. However, there was no study on ZAT genes in cotton, so it was necessary to analyze the ZAT gene family.
Cotton was not only a worldwide leading textile fiber crop but also a crop with significance for petroleum and biofuel products (Zhang et al. 2008). However, the growth and production of cotton were severely restricted by external and internal environmental factors. The analysis of the whole cotton genome and the development of transcriptomics had laid the foundation for the study of the expression patterns and functions of different gene families. In this study, we conducted a preliminary analysis of the gene structure, evolutionary relationship, expression pattern, and cis-acting elements of Gossypium hirsutum. A ZAT family gene, GhZAT67, was isolated and characterized. VIGS plants with GhZAT67 gene silenced were sensitive to alkaline stress. This study provided potential candidate genes for the study of cotton gene function and provided a certain molecular basis for cotton breeding.
Materials and methods
Identification of GhZAT gene family members in Gossypium hirsutum L.
To identify the members of the GhZAT gene family, the protein sequence and genome annotation of upland cotton were downloaded from Cotton Functional Genomic Database (CottonFGD) (http://www.cottonfgd.org/) (Zhu et al. 2017). The Hidden Markov Model (HMM) of PF13912 was downloaded from the Pfam (https://pfam.xfam.org/) website. HMMER 3.0 software was used to obtain the protein sequence of PF13912, Online sites Pfam (https://pfam.xfam.org/) and SMART (http://smart.emblheidelberg.de/) with default parameters were used to further screen the genes. We also retrieved some other features of ZAT genes of upland cotton like isoelectric points (pIs), molecular weights (MWs), exon/intron lengths, grand average of hydropathy, and charge by using CottonFGD (http://www.cottonfgd.org/). Subcellular localization prediction of GhZAT genes was carried out by using several websites, such as TargetP (http://www.cbs.dtu.dk/services/TargetP/) (Emanuelsson et al. 2000), ProtComp (http://linux1.softberry.com/berry.phtml?topic=protcomppl&group=programs&subgroup=proloc), WOLF-PSORT (https://wolfpsort.hgc.jp/) and CELLO v.2.5 (http://cello.life.nctu.edu.tw/) (Yu et al. 2006).
To study the evolutionary relationship among ZAT genes in different species, CottonFGD (http://www.cottonfgd.org/) was used to obtain ZAT protein sequences in other three cotton species (G. barbadense, G. arboreum, and G. raimondii). Protein sequences of other species like Theobroma cacao (version 10), A. thaliana (TAIR 10), Oryza sativa (version 7), Populus trichocarpa (version 3.0), Vitis vinifera Genoscope (version 12), Glycine max (version 10), Zea mays (version 10) were obtained from Phytozome v12.1 (https://phytozome.jgi.doe.gov/pz/portal.html) by using PF13912 as the keyword, and MEGA7.0 software was used for protein sequence alignment. Subsequently, the neighbor-joining (NJ) tree with 1 000 bootstrap replicates was constructed using the Poisson substitution model with default parameters in MEGA 7.0 (Kumar et al. 2016).
Chromosomal locations of ZAT genes from four Gossypium species
Physical positions of chromosomal locations from four cotton species including G. hirsutum, G. arboreum, G. raimondii, and G. barbadense were drawn by TB Tools software (Chen et al. 2018). Genomic sequences, coding sequences of all of the four species were downloaded from CottonFGD (http://www.cottonfgd.org/) (Zhu et al. 2017). Genome sequences of four Gossypium species (G. hirsutum, NAU; G. barbadense, HAU; G. arboreum, CRI; and G. raimondii, JGI) were used to identify the gene family.
Collinearity analysis of ZAT genes in four Gossypium species
Synteny relationship between duplicated gene pairs from four cotton species G. hirsutum, G. arboreum, G. raimondii, and G. barbadense was analyzed by using MCScanX software (Wang et al. 2012) and diagrammatical results were visualized by using Circos-0.69 software (http://circos.ca/) (Krzywinski et al. 2009).
Calculation of selection pressure
Duplicated gene pairs from four Gossypium species including G. arboreum, G. raimondii, G. hirsutum, and G. barbadense were identified by using MCScanX software. The nonsynonymous to the synonymous ratio (Ka/Ks) was calculated for duplicated genes to investigate the selection pressure by using TB Tools software.
Analysis of the conserved protein motifs and gene structure
Using Multiple Em for Motif Elicitation (MEME, http://meme-suite.org/) to identify the conserved motifs (Bailey et al. 2009). TB Tools software was used to map the evolutionary relationship, gene structure, and conserved motifs of GhZAT genes with MAST file from MEME website, NWK file from phylogenetic tree analysis, and GFF3 genome file of G. hirsutum L.
Analysis of GhZAT promoter regions
DNA sequences of 2 000 bp in upstream regions of GhZAT genes were obtained from CottonFGD database (http://www.cottonfgd.org/) as promoters. PlantCARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) was used for the prediction of cis-acting elements in promoter regions of GhZAT genes.
Analysis of differentially expressed genes (DEGs)
RNA-Seq data (PRJNA248163) downloaded from National Center for Biotechnology Information (NCBI) (https://www.ncbi.nlm.nih.gov/) was used to analyze differentially expressed genes under salt, PEG, cold, and heat stress (Hu et al. 2019). The heat map along with phylogenetic tree and cis-acting elements was generated through TB Tools software by using fragments per kilo base of exon per million fragments mapped (FPKM).
VIGS experiment of GhZAT67
The purified GhZAT67 fragment was inserted into the empty pYL156 to form the pYL156: GhZAT67 vector, with the sites of SacI and BamHI. The GV3101 strains carrying pYL156 (empty vector), pYL156: GhZAT67 (VIGS), pYL156: PDS (positive control), and pYL192 (helper vector) were cultured to OD600 = 1.21.5. Each mixture was injected into the underside of cotyledons of cotton variety Zhong 9807 plants. After injection, the plants were placed in the dark overnight, and a 16 h light/8 h dark cycle was performed at 25 °C. The plants injected with pYL156 and pYL156: GhZAT67 were treated with alkaline treatment after the cotton plants with pYL156: PDS developed an albino phenotype.
Identification of ZAT proteins
To identify the ZAT genes in four cotton species, the protein sequences and genome sequences of G. arboreum, G. raimondii, G. hirsutum, and G. barbadense were compared using HMMER 3.0 software by using PF13912 as a query condition. Redundant sequences were detected and deleted by manual, 115, 115, 59, and 56 genes were identified in G. hirsutum, G. barbadense, G. arboretum, and G. raimondii, respectively. Statistical analysis of the number of genes in four Gossypium species showed that the number of ZAT genes in two tetraploid cotton species (G. hirsutum and G. barbadense) were almost double of their progenitors (G. arboretum and G. raimondii) (Fig. 1), and their numbers were also much higher than many of other plant species like V. vinifera (17), T. cacao (24) and O. sativa (46), indicating that the ZAT gene family in cotton had exhibited large scale expansion during the evolution.
To understand the ZAT gene family more conveniently, the ZAT genes were renamed according to the position of the gene on the cotton chromosome. For example, we assigned the name to ZAT genes as GhZAT1-GhZAT115 for G. hirsutum, GbZAT1-GbZAT115 for G. barbadense, GaZAT1-GaZAT59 for G. arboretum, GrZAT1-GrZAT56 for G. raimondii (Supplementary Table S1). Then we predicted the physical and chemical properties of GhZAT genes, including protein length, protein molecular weight (MWs), isoelectric point (pI), grand average of hydropathy analysis, and subcellular location (Supplementary Table S1). For Gossypium hirsutum, all of the 115 genes encoded proteins ranging from 134 (GhZAT72) to 577 (GhZAT105) amino acids, with an average of 283.6 amino acids. The isoelectric point (pI) varied from 4.936 (GhZAT85) to 10.171 (GhZAT37) with a mean of 7.98, and MWs varied from 15.105 (GhZAT72) kDa to 63.324 (GhZAT105) kDa. The values of the grand average of hydropathy were all negative, which proved that the proteins of ZAT family genes were hydrophilic. Subcellular location prediction showed that there were 110 genes located in the nuclear, 3 in the extracellular, one in the mitochondrial, and one in the plasma membrane. Most GhZAT genes located in the nuclear, which may be consistent with their interaction with DNA (Takatsuji et al. 1992).
Phylogenetic analysis of ZAT genes
To understand the evolutionary relationship of ZAT genes among four cotton species and other plant species, phylogenetic analysis of 662 ZAT protein sequences (Fig. 1) was performed to construct the tree based on multiple sequence alignment using the neighbor-joining (NJ) method in MEGA 7 with 1 000 bootstrap replicates, including 115 in G. hirsutum, 115 in G. barbadense, 59 in G. arboretum, 56 in G. raimondii, 42 in A. thaliana, 83 in G. max, 46 in O. sativa, 46 in P. trichocarpa, 24 in T. cacao, 17 in V. vinifera and 59 in Z. mays (Fig. 2). According to the number of domains in the genes, we divided the ZAT ZAT genes into 5 clades, and each clade can be divided into different classes (Fig. 2B). Among them, there were 2 classes in clade I, 6 in clade II, 2 in clade III, 1 in clade IV, and one in clade V (Fig. 2B). Among them, clade II had the most subgroups. As shown in the phylogenetic tree, we found that the gene distribution in subfamily Ia was the most extensive. There were 25 GhZAT genes in subfamily Ia, accounting for 21.7% of all GhZAT genes. The sequence similarity of the proteins between cotton and T. cacao was higher than that of any other plant species, which was consistent with a previous study that cotton and T. cacao were originated from the same ancestor. All species had gene pairs derived from the same node, demonstrating that the ZAT genes in all species had experienced gene duplication events that causing the expansion of the ZAT gene family. However, gene duplication among different groups varies from each other in different species. These results indicated that gene duplication was the main contributor toward ZAT gene family expansion in all plant species.
In addition, in order to study the relationship between the common ancestors of diploid cotton (G. arboretum and G. raimondii) and allotetraploid cotton (G. hirsutum and G. barbadense), we constructed NJ tree of four cotton species (Fig. 2A). In general, 345 ZAT genes in diploid cotton and allotetraploid cotton can be divided into four clades according to their number of domains. We can see that each branch contained genes from diploid and allotetraploid cotton species (Fig. 2A).
Analysis of chromosomal localization
To further study the genetic divergence and duplication events of the ZAT gene family, we constructed chromosomal maps of 345 ZAT genes from G. hirsutum, G. barbadense, G. arboretum and G. raimondii (Fig. 3). 334 out of 345 ZAT genes were distributed to their specific chromosomes, while the remaining only 11 ZATs were allocated to the unmapped scaffold. The distribution of ZAT genes on 13 chromosomes of different cotton species was uneven, and the number of each chromosome did not show a significant positive correlation with its length.
Among 115 identified ZAT genes of G. hirsutum, 56 genes were distributed on 12 chromosomes of At-subgenome (GhAt) while two genes were found at the scaffold, 53 genes were positioned on 12 chromosomes of Dt-subgenome (GhDt) while four genes at the scaffold (Fig. 3A, B). In G. hirsutum, Chr5, Chr7, Chr8, Chr10, Chr12 in GhAt had relatively more ZAT genes, including 7, 7, 6, 6, and 7 genes, respectively; while Chr5, Chr7, Chr8, Chr9, Chr10 in GhDt had relatively more ZAT genes, including 5, 6, 5, 5, 5 and 7 genes, respectively (Fig. 4). Furthermore, the number of genes located on the chromosomes of GhAt was not the same as that on its homologous chromosome of GhDt except GhA01-GhD01, GhA11-GhD11, GhA12-GhD12, GhA13-GhD13. Interestingly, we found that there was no GhZAT gene on Chr6, which may be related to the chromosome deletion of G. hirsutum or the translocation of large fragments during the evolution. Similarly, the number of genes located on the chromosomes of GhAt/GhDt subgenomes as compared with their homologous chromosome of A/D genome (G. arboreum/G. raimondii) was almost the same except GhAt01-A01, GhAt02-A02, GhAt03-A03, GhAt07-A07, GhAt08-A08, GhAt11-A11, GhDt03-D03, implied that some ZAT genes had lost or added during the evolution. At the same time, the uneven and random distribution of genes indicated that gene loss may occur during the evolutionary process, but it may also be the result of incomplete genome assembly.
Among 115 identified ZAT genes of G. barbadense, 57 genes were distributed on 13 chromosomes of the At-subgenome (GbAt) while only one gene was found at the scaffold, 55 ZAT genes were positioned on 13 chromosomes of Dt-subgenome (GbDt) while two genes were found at the scaffold (Fig. 3C, D). In G. barbadense, Chr5, Chr7, Chr10, and Chr12 in GbAt had relatively more ZAT genes, including 7, 7, 7, and 6 genes, respectively; while Chr7, Chr10, Chr12 in GbDt had relatively more ZAT genes, including 7, 7, 6 genes, respectively (Fig. 4). In addition, the number of genes located on the chromosomes of GbAt was not the same as that on its homologous chromosome of GbDt except GbA01-GbD01, GbA02-GbD02, GbA06-GbD06, GbA07-GbD07, GbA09-GbD09, GbA10-GbD10. We also found the number of genes on the GbAt/GbDt subgenome with the homologous chromosome A/D genome (G. arboreum/G. raimondii) was not the same, except for GbAt01-A01, GbAt02-A02, GbAt03-A03, Gbt06-A06, Gbt07-A07, GbAt09-A09, GhAt12-A12, and GhDt03-D03, which was similar to the situation of G. hirsutum.
Among 59 identified ZAT genes of G. arboreum, 57 genes were distributed on 13 chromosomes while two genes were found at the scaffold (Fig. 3E). Among 56 identified ZAT genes of G. raimondii, 56 genes were distributed on 13 chromosomes while no gene was found at the scaffold (Fig. 3F). In G. arboreum, Chr7, Chr8, Chr12 had relatively more ZAT genes, including 7, 6, 6 genes, respectively; while Chr1, Chr8, Chr9 in G. raimondii had relatively more ZAT genes, including 7, 7, 6 genes, respectively (Fig. 4).
Analysis of conserved protein motifs and gene structure
Diversity of gene structure and differentiation of conserved motifs were possible mechanisms for the evolution of polygenic families (Hu et al. 2010). We identified the conserved motifs of ZAT protein using the online website MEME and found 10 conserved motifs (named motif 1 to motif 10), the results were represented in schematic diagrams (Fig. 5B). ZAT genes in the same clade had similar motif composition, and the different composition of motifs indicating the diversity of gene function, which was particularly obvious in the class IIa and class IIb subfamily. Similar motif arrangements in the same subgroup revealed that protein structure was conserved in a specific subgroup, and the functions of most conserved motifs remain to be clarified. There were 1 ~ 11 motifs in each GhZAT gene, and all GhZAT genes had a conservative protein motif distribution. Except for the genes of subclasses Ia and Ib, all others had a conserved motif 3. Interestingly, in addition to the GhZAT93 gene, the genes of subclass Ia contained a special motif 8, while the other subclasses did not have, which may be the reason that subclass Ia had obtained the special motif 8 through evolution or other subfamilies had lacked specific conserved motifs during evolution.
In general, genes in the same subclass had similar intron-exon arrangements in terms of intron number and exon length (Malik et al. 2020). As can be seen from Fig. 5C, most genes had no introns except for a few genes. The exon length of the sequence encoded by the gene had little difference, indicating that the genes were somewhat conserved.
In addition, 8 genes had only one intron, one gene had three introns, and many genes (106 of 115) had no introns. Fewer introns in the ZAT gene family indicated that GhZAT genes were less likely to undergo alternative splicing. Exon/intron analysis along with phylogenetic tree results displayed their random distribution among GhZAT genes of different clades and showed that similar genes were clustered close to one another in the same group of phylogeny trees. It was worth noting that closely related genes were more similar in gene structure, but not necessarily the same in exon/intron length.
Gene duplication and collinearity analysis
Previous studies had shown that gene duplication was one of the major drivers of the evolution of genomes and genetic systems (Moore and Purugganan 2003). Whole-genome duplication, segmental duplication, and tandem duplication were considered to be the main causes of plant gene family expansion (Xu et al. 2012). Segmental duplication produced multiple genes by polyploidy and chromosomal rearrangement (Yu et al. 2005), and it occurred in plants because most plants were diploid or polyploid and retained many duplicate chromosome blocks in their genomes (Cannon et al. 2004). Tandem duplication was characterized by multiple members of a family in the same or adjacent intergenic region (Ramamoorthy et al. 2008). A gene cluster usually contained two or more genes of chromosome regions in a 200 kb region (Holub 2001). Gene duplication can be large-scale whole-genome duplication (WGD), and can also be a small series of segmental duplication and tandem duplication (Ramsey and Schemske 1998). In this study, we performed to analyze the gene duplication and syntenic relationship from G. hirsutum, G. barbadense, G. arboreum, and G. raimondii using MCScanX (Fig. 6). We used the MCScanX software to analyze the gene pairs of tandem duplication, segmental duplication, and whole-genome duplication. The genes which lied on the same chromosomal block (e-value <1e− 5) were categorized as tandem duplicated while the remaining from the same genomes were considered as segmental and else of all from different genomes and sub-genomes of the four Gossypium species were allocated in the whole-genome duplication (Malik et al. 2020). A total of 1 629 gene pairs in the four cotton species were identified as duplicated genes pairs, of which 19 pairs were tandem duplication, 386 pairs were segmental duplication, and 1 224 pairs were whole-genome duplication (Supplementary Table S2). A total of 19 tandem repeat gene pairs were identified in the four cotton species, of which 2 were Ga-Ga (GaZAT21/22, GaZAT36/37), six were Gh-Gh (GhZAT20/21, GhZAT34/35, GhZAT41/42, GhZAT77/78, GhZAT90/91, GhZAT95/96), 8 were Gb-Gb (GbZAT22/23, GbZAT36/37, GbZAT42/43, GbZAT44/45, GbZAT77/78, GbZAT91/92, GbZAT97/98, GbZAT99/100), three were Gr-Gr (GrZAT1/2, GrZAT24/25, GrZAT48/49). Therefore, tandem duplication played an indispensable role in the evolution of the ZAT gene family.
In addition to tandem duplication, other replication mechanisms may also contribute to the extension of genes. It was suggested that parallel homologous genes were usually produced by segmental duplication and the whole-genome duplication before polyploidy, especially segmental duplication was the most significant factor in evolution (Malik et al. 2020). Segmental duplication of the ZAT genes in four cotton species was analyzed and 386 gene pairs were identified. There were 49, 150, 152, and 35 gene pairs among Ga-Ga, Gh-Gh, Gb-Gb, and Gr-Gr, respectively. In addition, there were 185, 241, 250, 254, 190, and 104 gene pairs between Gh-Ga, Gh-Gr, Gh-Gb, Gb-Gr, Gb-Ga, and Ga-Gr, respectively. From these results, we presumed that tandem duplication, segmental duplication, and whole-genome duplication had an impartment effect on the evolution of the ZAT gene family.
Calculation of non-synonymous (Ka) to synonymous (Ks) substitution rates
To investigate the differentiation mechanism of ZAT genes after polyploid duplication in cotton, Ka, Ks, and Ka/Ks of 1 332 homologous gene pairs from 10 combinations of four Gossypium species were determined, including Ga-Ga, Ga-Gb, Ga-Gr, Gb-Gb, Gb-Gr, Gh-Gh, Gh-Ga, Gh-Gb, Gh-Gr and Gr-Gr (Supplementary Table S3). Ka/Ks ratio was used to infer the selection pressure of duplicated gene pairs. Ka/Ks < 1 was considered as a purification selection, indicating that natural selection eliminated harmful mutations and kept the protein unchanged, Ka/Ks > 1 was considered as positive selection, indicating natural selection changed the protein, the mutation site was quickly fixed in the population, and the evolution of the gene was accelerated, Ka/Ks = 1 was considered as neutral selection, indicating that natural selection did not affect mutation (Hurst 2002).
Over all, we found 1 332 duplicated gene pairs in this analysis from four Gossypium species (Ga, Gr, Gh, and Gb). Among them, 1 288 (96.7%) duplicated gene pairs with Ka/Ks ratio < 1 including 1 045 gene pairs with Ka/Ks < 0.5 and 243 gene pairs between 0.5 and 0.99, exhibiting pure selection. Only 44 (3.3%) duplicated gene pairs with Ka/Ks > 1 and these gene pairs might have experienced relatively rapid evolution following duplication and underwent positive selection pressure. Studies had shown that sub-functional duplicated genes generally differentiated at the transcriptional level first and tended to be subject to strong purification (Roulin et al. 2013). In general, gene duplication will produce two copies, on the one hand, under low selective pressure, the gene will evolve, on the other hand, it will produce some new functions, which can contribute to the evolution of the species.
Analysis of promoters and differentially expressed genes
To further understand the response of GhZAT genes to abiotic stress, we analyzed their expression under cold, heat, salt, and PEG stress using RNA-seq data and cis-acting elements of promoters under abiotic stress. Considering the importance of cis-acting elements in abiotic stress, we selected the region of 2 kb upstream of the start codon of the ZAT genes, then we used PlantCARE to study the cis-acting elements that may be involved in gene expression, and extracted the GhZAT gene promoter region which was associated with stress and plant hormone. In this study, most GhZAT genes in G. hirsutum contained cis-acting elements related to plant hormones (ABA, MeJA, GA, IAA) and various stresses (low temperature, light stress, and wound stress) (Fig. 7B), and genes in the same subfamily were functionally diverse despite the similar motifs. In terms of plant hormone response, we found the cis-acting elements including GARE-motif (gibberellin responsive elements), ERE (ethylene response), ABRE (involved in abscisic acid responsiveness), AuxRR-core (cis-acting regulatory elements involved in auxin responsiveness), and CGTCA-motif (cis-acting regulatory element involved in MeJA responsiveness). Almost all the promoters were found to contain several hormones responsive elements except GhZAT25, GhZAT23, GhZAT100, but we did not find any close relationship of hormone-responsive elements with their subfamily. Therefore, GhZAT genes may be involved in regulating the growth and defense responses of cotton through specific hormonal signaling pathways.
Gene expression patterns can provide important references for functional analysis of genes, and gene expression was related to biological functions controlled by cis-acting elements. We detected the expression pattern of GhZAT genes in different times (1 h, 3 h, 6 h, 12 h) under different stresses (cold, hot, salt, and PEG) by analyzing RNA-seq data (Fig. 7C). The results showed that the genes of the IIb and IIe subfamily all responded to cold, heat, salt, and PEG stress, while the expression levels of other subfamily genes also changed, but the expression levels were not as high as these two types. The gene expression patterns of the same subfamily were almost the same, but the gene expression patterns of the same subfamily were slightly different. These results proved that GhZAT genes were involved in plant stress response.
Cotton plants with GhZAT gene silenced by VIGS were sensitive to alkaline stress
We also explored whether ZAT genes responded to alkaline stress. We selected a high-expressed gene GhD03G1247.1 (GhZAT67) from transcriptome data treated with alkaline stress (125 mmol·L–1 NaHCO3 treated for 12 h) for further study. VIGS vector pYL156: GhZAT67 was constructed using In-Fusion technology to study their functions under NaHCO3 stress. Afterward, the cotton carrying pYL156: PDS appeared albino, indicating that VIGS silencing was successful (Fig. 8A). qRT-PCR was used to detect the gene silencing effect, and the results showed that the GhZAT67 expression level of pYL156: GhZAT67 was significantly lower than that of the control pYL156 (Fig. 8B). After treatment with 125 mmol·L–1 NaHCO3, we found that the pYL156: GhZAT67 cotton seedlings wilted more severely than the pYL156. Therefore, GhZAT67 was also involved in the adaptability of cotton to alkaline stress.
Cotton was an important economic crop, widely distributed around the world, faced serious biotic and abiotic stress. However, the understanding of the functional role of ZAT genes in cotton was still very limited. In recent years, higher-quality de-novo-assembled genomes of two allotetraploid species (Hu et al. 2019) and G. arboretum (Du et al. 2018) had been published, which will open a new era of genome-wide analysis of cotton gene families.
In this study, we conducted a comprehensive identification and analysis of the ZAT genes of G. hirsutum, G. barbadense, G. arboretum, G. raimondii and seven other species. Among them, we identified 115, 115, 59, and 56 genes in G. hirsutum, G. barbadense, G. arboretum, G. raimondii, respectively, 42 genes in T. cacao, 24 genes in Z. mays, 59 genes in V. vinifera, 17 genes in P. trichocarpa, 46 genes in G. max, and 83 genes in A. thaliana. Previous research had shown that allotetraploid cotton was formed by inter-genomic hybridization of A-genome diploids and D-genome diploids, and followed by chromosome doubling (Paterson et al. 2012). And in our research, the number of ZAT genes in G. hirsutum and G. barbadense was the sum of the number of those in G. arboretum and G. raimondii. The subcellular localization results showed that about 96% (110 of 115) of ZAT genes were localized in the nucleus, while the other 5 genes were predicted to be located in the extracellular, mitochondrial and plasma membrane. This indicated that these genes had special characteristics compared with other members of the family. In addition, based on the analysis of WOLF PSORT software, we can roughly determine their location, but for a more accurate location, further experimental verification was needed.
In this study, we divided the 345 ZAT genes from four Gossypium species into four clades according to the number of domains. Each clade contained different subfamilies, and clade II contained the largest number of genes. This proved that most genes of the ZAT family were conserved in the evolution, and most of them retained two main domains. However, genes containing only one domain also appeared in the class II subfamily, such as GhZAT47 and GhZAT2. Through the analysis of the motifs of these genes, it was found that they were one motif less than the motifs of genes in the same subfamily. Genes that also contained 3 domains, such as GhZAT78 and GhZAT67, were found to have one more motif compared with other members of the same subfamily. It was worth noting that these genes may have new functions or miss some functions in the process of evolution.
Phylogenetic analysis showed that the ZAT proteins in Gossypium were more closely related to the ZAT protein in T. cacao, which was consistent with a previous study that Gossypium and T. cacao came from the same ancestor (Li et al. 2015). Most ZAT genes in the same subfamily had similar intron and exon structures and conserved motifs, but there was a high degree of differentiation among different subfamilies. In addition, some exon-intron structure and motif composition mainly existed in a specific subgroup, which may be related to the functional diversity of this subgroup, such as both GhZAT18 and GhZAT69 had two motif 5, and this can be used as an important indicator to identify this subfamily.
Gene duplication produced functional differentiation, which was of great significance to environmental adaptability and speciation (Conant and Wolfe 2008). According to this study, the gene replication rate of plants was significantly higher than that of other eukaryotes (Hanada et al. 2008). Previous studies had proved that there were segmental duplication and tandem duplication in various plant transcription factor families such as Fbox, bZIP, and NAC factors (Jain et al. 2007; Puranik, et al. 2012; Wei et al. 2012). Therefore, we analyzed the gene duplication of ZAT transcription factor families. To reveal the expansion mechanism of the ZAT gene family, we used MCScanX to screen duplicated gene pairs, according to the results of the analysis, there were only a few tandem-duplicated events in both G. hirsutum and G. barbadense, most of which were segmental duplications, which indicated that segmental duplication played a vital role in the evolution of the ZAT gene family. This result was also consistent with previous studies (Wei et al. 2016). The number of homologous genes in the At and Dt sub-genomes of G. hirsutum and G. barbadense were close, so we inferred that translocation and reverse transcript insertion rarely occurred in the ZAT gene family. In order to elucidate the differences after gene duplication, we calculated the ratio of non-synonymous (Ka) to synonymous (Ks) of four Gossypium species. We found the Ka/Ks < 1 in the four Gossypium species, indicating that the four Gossypium species had undergone strong purification selection. This finding was consistent with a recent study that MYB transcription factor genes were mostly evolved under negative selection (Salih et al. 2016).
ZAT proteins played an important role in the growth and development of plants. Some ZAT genes had been confirmed to act as an important role in the tolerance increasing to stress in Arabidopsis. Cis-acting elements played an important role when plants were subjected to abiotic stress (Nakashima et al. 2014). In this study, the difference in the cis-acting elements of the duplicated genes played a direct role in their expression and differentiation. The cis-acting element responded to the elicitor to regulate gene expression. Based on a large number of hormone response elements (salicylic acid, jasmonic acid, ethylene, and abscisic acid) in the promoter of GhZAT genes, we believed that plant hormones may be involved in the regulation of upstream of GhZAT genes. Studies had found that salicylic acid, jasmonic acid, ethylene, abscisic acid and other plant hormones interacted with corresponding cis-acting elements by inducing transcription factors, which were of great significance for plants to adapt to abiotic stress. This was consistent with our results (Fujita et al. 2006; Santner and Estelle 2009). ABA-responsive elements were widely distributed in promoters, we induced that ABA may be a key signal regulating the GhZAT gene family. Through the analysis of the cis-acting elements of G. hirsutum, we speculated that the ZAT gene of upland cotton was related to plant hormone response and stress resistance.
When subjected to abiotic stress, cotton will produce a series of physiological and biochemical reactions to resist the stress of adversity. Abiotic stresses such as drought, cold, heat, and salt stress will decrease the yield of cotton. The expression pattern of genes was often used as an indicator of their functions. This study used the published transcriptome data to study the expression profile of GhZAT genes under abiotic stress. The expression of ZAT genes in the IIe and IIb subfamily of G. hirsutum after cold, heat, salt, and PEG treatments was quite different. Among them, GhZAT67 had the highest expression level at 6 h and 12 h after cold stress, GhZAT7 and GhZAT6 were both expressed in every treatments, GhZAT111 and GhZAT57 were highly expressed after cold stress for 12 h, GhZAT109, GhZAT75, GhZAT102, GhZAT58, GhZAT9, GhZAT64 all played an important role in cold stress. Therefore, GhZAT genes may be involved in the adaptation of cotton to various stresses, especially cold stress. In summary, this study analyzed the gene structure, chromosome distribution, phylogenetic relationship, cis-acting elements, and collinearity relationship of GhZAT genes in G. hirsutum, which greatly enriched our understanding of the ZAT gene family. In addition, the expression profile and cis-acting element analysis of GhZAT genes indicated that they may be involved in plant hormone signal transduction and abiotic stress response, especially under cold stress conditions. These findings not only laid the foundation for further analysis of the function of cotton ZAT genes but also provided valuable information for potential candidate genes related to plant growth and development and adversity stress.
In conclusion, this study conducted a comprehensive analysis of the ZAT gene family of four kinds of cotton for the first time. We confirmed that ZAT subfamilies displayed a great evolutionary divergence by phylogenetic analysis, conserved motifs, and gene structure. Cis-acting elements analysis and expression profiles under environmental stresses suggested that ZAT family genes might be related to the responses of abiotic stresses and hormone stimuli. In addition, an alkaline-stress-induced gene GhZAT67 was cloned and we found it positively responded to alkaline stress. Taken together, we established a foundation for further functional characterization of ZAT genes in response to abiotic stress in the future.
Availability of data and materials
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Bailey TL, Boden M, Buske FA, et al. MEME suite: tools for motif discovery and searching. Nucleic Acid Res. 2009;37(suppl_2):W202–8. https://doi.org/10.1093/nar/gkp335.
Cannon SB, Mitra A, Baumgarten A, et al. The roles of segmental and tandem gene duplication in the evolution of large gene families in Arabidopsis thaliana. BMC Plant Biol. 2004;4(1):1–21. https://doi.org/10.1186/1471-2229-4-10.
Chen C, Chen H, He Y, et al. TBtools, a toolkit for biologists integrating various biological data handling tools with a user-friendly interface. Molecular Plant. 2020;13(8):1194–202. https://doi.org/10.1016/j.molp.2020.06.009.
Ciftci-Yilmaz S, Morsy MR, Song L, et al. The EAR-motif of the Cys2/His2-type zinc finger protein Zat7 plays a key role in the defense response of Arabidopsis to salinity stress. J Biol Chem. 2007;282(12):9260–8. https://doi.org/10.1074/jbc.M611093200.
Conant GC, Wolfe KH. Turning a hobby into a job: how duplicated genes find new functions. Nat Rev Genet. 2008;9(12):938–50. https://doi.org/10.1038/nrg2482.
Davletova S, Schlauch K, Coutu J, Mittler R. The zinc-finger protein Zat12 plays a central role in reactive oxygen and abiotic stress signaling in Arabidopsis. Plant Physiol. 2005;139(2):847–56. https://doi.org/10.1104/pp.105.068254.
Du X, Huang G, He S, et al. Resequencing of 243 diploid cotton accessions based on an updated a genome identifies the genetic basis of key agronomic traits. Nat Genet. 2018;50(6):796–802. https://doi.org/10.1038/s41588-018-0116-x.
Emanuelsson O, Nielsen H, Brunak S, von Heijne G. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. J Mol Biol. 2000;300(4):1005–16. https://doi.org/10.1006/jmbi.2000.3903.
Fujita M, Fujita Y, Noutoshi Y, et al. Crosstalk between abiotic and biotic stress responses: a current view from the points of convergence in the stress signaling networks. Curr Opin Plant Biol. 2006;9(4):436–42. https://doi.org/10.1016/j.pbi.2006.05.014.
Hanada K, Zou C, Lehti-Shiu MD, et al. Importance of lineage-specific expansion of plant tandem duplicates in the adaptive response to environmental stimuli. Plant Physiol. 2008;148(2):993–1003. https://doi.org/10.1104/pp.108.122457.
He F, Niu MX, Feng CH, et al. PeSTZ1 confers salt stress tolerance by scavenging the accumulation of ROS through regulating the expression of PeZAT12 and PeAPX2 in Populus. Tree Physiol. 2020;40(9):1292–311. https://doi.org/10.1093/treephys/tpaa050.
Holub EB. The arms race is ancient history in Arabidopsis, the wildflower. Nat Rev Genet. 2001;2(7):516–27. https://doi.org/10.1038/35080508.
Hu R, Qi G, Kong Y, et al. Comprehensive analysis of NAC domain transcription factor gene family in Populus trichocarpa. BMC Plant Biol. 2010;10(1):1–23. https://doi.org/10.1186/1471-2229-10-145.
Hu Y, Chen J, Fang L, et al. Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton. Nat Genet. 2019;51(4):739–48. https://doi.org/10.1038/s41588-019-0371-5.
Hurst LD. The Ka/Ks ratio: diagnosing the form of sequence evolution. Trends in Genetics. 2002;18(9):486–7. https://doi.org/10.1016/s0168-9525(02)02722-1.
Jain M, Nijhawan A, Arora R, et al. F-box proteins in rice. Genome-wide analysis, classification, temporal and spatial gene expression during panicle and seed development, and regulation by light and abiotic stress. Plant Physiol. 2007;143(4):1467–83. https://doi.org/10.1104/pp.106.091900.
Kiełbowicz-Matuk A. Involvement of plant C2H2-type zinc finger transcription factors in stress responses. Plant Sci. 2012;185:78–85. https://doi.org/10.1016/j.plantsci.2011.11.015.
Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones SJ, Marra MA. Circos: an information aesthetic for comparative genomics. Genome Res. 2009;19(9):1639–45. https://doi.org/10.1101/gr.092759.109.
Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33(7):1870–4. https://doi.org/10.1093/molbev/msw054.
Le CTT, Brumbarova T, Ivanov R, et al. Zinc finger of Arabidopsis thaliana12 (ZAT12) interacts with FER-like iron deficiency-induced transcription factor (FIT) linking iron deficiency and oxidative stress responses. Plant Physiol. 2016;170(1):540–57. https://doi.org/10.1104/pp.15.01589.
Li F, Fan G, Lu C, et al. Genome sequence of cultivated upland cotton (Gossypium hirsutum TM-1) provides insights into genome evolution. Nat Biotechnol. 2015;33(5):524–30. https://doi.org/10.1038/nbt.3208.
Malik WA, Wang X, Wang X, et al. Genome-wide expression analysis suggests glutaredoxin genes response to various stresses in cotton. Int J Biol Macromol. 2020;153:470–91. https://doi.org/10.1016/j.ijbiomac.2020.03.021.
Mittler R, Kim YS, Song L, et al. Gain- and loss-of-function mutations in Zat10 enhance the tolerance of plants to abiotic stress. FEBS Lett. 2006;580(28–29):6537–42. https://doi.org/10.1016/j.febslet.2006.11.002.
Moore RC, Purugganan MD. The early stages of duplicate gene evolution. Proc Natl Acad Sci. 2003;100(26):15682–7. https://doi.org/10.1073/pnas.2535513100.
Nakashima K, Yamaguchi-Shinozaki K, Shinozaki K. The transcriptional regulatory network in the drought response and its crosstalk in abiotic stress responses including drought, cold, and heat. Front Plant Sci. 2014;5:170. https://doi.org/10.3389/fpls.2014.00170.
Paterson AH, Wendel JF, Gundlach H, et al. Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres. Nature. 2012;492(7429):423–7. https://doi.org/10.1038/nature11798.
Puranik S, Sahu PP, Srivastava PS, Prasad M. NAC proteins: regulation and role in stress tolerance. Trends Plant Sci. 2012;17(6):369–81. https://doi.org/10.1016/j.tplants.2012.02.004.
Ramamoorthy R, Jiang SY, Kumar N, et al. A comprehensive transcriptional profiling of the WRKY gene family in rice under various abiotic and phytohormone treatments. Plant Cell Physiol. 2008;49(6):865–79. https://doi.org/10.1093/pcp/pcn061.
Ramsey J, Schemske DW. Pathways, mechanisms, and rates of polyploid formation in flowering plants. Annu Rev Ecol Syst. 1998;29(1):467–501. https://doi.org/10.1146/annurev.ecolsys.29.1.467.
Rizhsky L, Davletova S, Liang H, Mittler R. The zinc finger protein Zat12 is required for cytosolic ascorbate peroxidase 1 expression during oxidative stress in Arabidopsis. J Biol Chem. 2004;279(12):11736–43. https://doi.org/10.1074/jbc.M313350200.
Roulin A, Auer PL, Libault M, et al. The fate of duplicated genes in a polyploid plant genome. Plant J. 2013;73(1):143–53. https://doi.org/10.1111/tpj.12026.
Sakamoto H, Maruyama K, Sakuma Y, et al. Arabidopsis Cys2/His2-type zinc-finger proteins function as transcription repressors under drought, cold, and high-salinity stress conditions. Plant Physiol. 2004;136(1):2734–46. https://doi.org/10.1104/pp.104.046599.
Salih H, Gong W, He S, et al. Genome-wide characterization and expression analysis of MYB transcription factors in Gossypium hirsutum. BMC Genet. 2016;17:129. https://doi.org/10.1186/s12863-016-0436-8.
Santner A, Estelle M. Recent advances and emerging trends in plant hormone signalling. Nature. 2009;459(7250):1071–8. https://doi.org/10.1038/nature08122.
Sun Z, Liu R, Guo B, et al. Ectopic expression of GmZAT4, a putative C2H2-type zinc finger protein, enhances PEG and NaCl stress tolerances in Arabidopsis thaliana. 3 Biotech. 2019;9(5):166. https://doi.org/10.1007/s13205-019-1673-0.
Takatsuji H. Zinc-finger proteins: the classical zinc finger emerges in contemporary plant science. Plant Mol Biol. 1999;39(6):1073–8. https://doi.org/10.1023/a:1006184519697.
Takatsuji H, Mori M, Benfey PN, et al. Characterization of a zinc finger DNA-binding protein expressed specifically in Petunia petals and seedlings. EMBO J. 1992;11(1):241–9. https://doi.org/10.1002/j.1460-2075.1992.tb05047.x
Vogel JT, Zarka DG, Van Buskirk HA, et al. Roles of the CBF2 and ZAT12 transcription factors in configuring the low temperature transcriptome of Arabidopsis. Plant J. 2005;41(2):195–211. https://doi.org/10.1111/j.1365-313X.2004.02288.x.
Wang M, Yuan J, Qin L, et al. TaCYP81D5, one member in a wheat cytochrome P450 gene cluster, confers salinity tolerance via reactive oxygen species scavenging. Plant Biotechnol J. 2020;18(3):791–804. https://doi.org/10.1111/pbi.13247.
Wang Y, Dou D, Wang X, et al. The PsCZF1 gene encoding a C H zinc finger protein is required for growth, development andpathogenesis in Phytophthora sojae. Microb Pathog. 2009;47(2):78–86 .https://doi.org/10.1016/j.micpath.2009.04.013.
Wang Y, Tang H, DeBarry JD, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40(7):e49. https://doi.org/10.1093/nar/gkr1293.
Wei K, Chen J, Wang Y, et al. Genome-wide analysis of bZIP-encoding genes in maize. DNA Res. 2012;19(6):463–76. https://doi.org/10.1093/dnares/dss026.
Wei K, Pan S, Li Y. Functional characterization of maize C2H2 zinc-finger gene family. Plant Mol Biol Report. 2016;34(4):761–76. https://doi.org/10.1007/s11105-015-0958-7.
Xie M, Sun J, Gong D, Kong Y. The roles of arabidopsis C1-2i subclass of C2H2-type zinc-finger transcription factors. Genes. 2019;10(9):653. https://doi.org/10.3390/genes10090653.
Xu G, Guo C, Shan H, Kong H. Divergence of duplicate genes in exon–intron structure. Proc Natl Acad Sci. 2012;109(4):1187–92. https://doi.org/10.1073/pnas.1109047109.
Yu CS, Chen YC, Lu CH, Hwang JK. Prediction of protein subcellular localization. Proteins. 2006;64(3):643–51. https://doi.org/10.1002/prot.21018.
Yu J, Wang J, Lin W, et al. The genomes of Oryza sativa: a history of duplications. PLoS Biol. 2005;3(2):e38. https://doi.org/10.1371/journal.pbio.0030038.
Zhang HB, Li Y, Wang B, Chee PW. Recent advances in cotton genomics. Int J Plant Genom. 2008;2008:742304. https://doi.org/10.1155/2008/742304.
Zhu T, Liang C, Meng Z, et al. CottonFGD: an integrated functional genomics database for cotton. BMC Plant Biol. 2017;17(1):1–9. https://doi.org/10.1186/s12870-017-1039-x.
We would like to thank the anonymous reviewers for their valuable comments and helpful suggestions which help to improve the manuscript.
This work was supported by Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences. The funding bodies provided financial support to the research projects but didn’t involve in study design, data collection, analysis, or preparation of the manuscript.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no conflict of interest.
About this article
Cite this article
FAN, Y., ZHANG, Y., RUI, C. et al. Zinc finger transcription factor ZAT family genes confer multi-tolerances in Gossypium hirsutum L.. J Cotton Res 4, 24 (2021). https://doi.org/10.1186/s42397-021-00098-0
- Phylogenetic analysis
- Collinearity analysis