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Systematic analysis of Histidine photosphoto transfer gene family in cotton and functional characterization in response to salt and around tolerance

Abstract

Background

Phosphorylation regulated by the two-component system (TCS) is a very important approach signal transduction in most of living organisms. Histidine phosphotransfer (HP) is one of the important members of the TCS system. Members of the HP gene family have implications in plant stresses tolerance and have been deeply studied in several crops. However, upland cotton is still lacking with complete systematic examination of the HP gene family.

Results

A total of 103 HP gene family members were identified. Multiple sequence alignment and phylogeny of HPs distributed them into 7 clades that contain the highly conserved amino acid residue “XHQXKGSSXS”, similar to the Arabidopsis HP protein. Gene duplication relationship showed the expansion of HP gene family being subjected with whole-genome duplication (WGD) in cotton. Varying expression profiles of HPs illustrates their multiple roles under altering environments particularly the abiotic stresses. Analysis is of transcriptome data signifies the important roles played by HP genes against abiotic stresses. Moreover, protein regulatory network analysis and VIGS mediated functional approaches of two HP genes (GhHP23 and GhHP27) supports their predictor roles in salt and drought stress tolerance.

Conclusions

This study provides new bases for systematic examination of HP genes in upland cotton, which formulated the genetic makeup for their future survey and examination of their potential use in cotton production.

Peer Review reports

Background

Adverse environmental conditions like salinity and drought stress, affect the plant growth development (PGD) and quality of seed very badly. For plant adaptability to these altering environments, they acquired a sensitive protection system in the process of evolution so that they can rapidly sense, respond to and adapt to these pressures appropriately [1,2,3]. Phosphorylation regulated by the two-component system (TCS) is a very important approach of signal transduction in most of living organisms. In plants, the TCS for signal transduction mainly consists of histidine kinases, histidine phosphotransfers and response regulators. HPs are the downstream target proteins of cytokinin receptor HKs, which receive and transfer the phosphate groups from the receptor HKs and transfer the phosphate groups to the downstream Arabidopsis response regulators (ARRs) to complete the downstream transduction of cytokinin signals. They have roles in important cellular mechanisms, for example, cytokinin responses, reaction to red light and ethylene, as well as osmosensing [4,5,6,7], suggesting their imperative implications in plant stress responses.

Arabidopsis contains 6 HP proteins. In AHP1-AHP5, there is a conserved phosphorylation site of the His residue similar to that in prokaryotes and yeast, and receives phosphate groups from the receptor AHK to complete the downstream transduction of the cytokinin signal [8]. However, AHP6 does not contain the conserved His residues, and it plays a negative regulatory role in the cytokinin signaling pathway by competing with AHP1-AHP5 to bind the ARR protein [9]. The molecular weights of AHPs are very small, and they are transported into and out of the nucleus actively, which is not related to their cytokinin level or phosphorylation status [10]. AHP2 and AHP5 are evenly distributed in the cytoplasm and nucleus, and cytokinin treatment does not change their subcellular localization [10].

Different AHP genes have different expression patterns. AHP1 is mainly expressed in roots [8]; AHP2, AHP3 and AHP5 are widely expressed in various above and belowground tissues; and AHP4 is mainly expressed in young floral organs [8, 11]. AHP6 is significantly expressed in pericylindrical cells in the xylem and in aerial tissues [8, 9]. There is functional redundancy among the members of the AHP family [12, 13]. None of the ahp mutants showed significant cytokinin-related growth and development phenotypes. The ahp1ahp2ahp3 and ahp2ahp3ahp5 mutants have a phenotype that is not sensitive to exogenous cytokinins, and ahp2ahp3ahp5 has a significant growth inhibition phenotype. The ahp1ahp2-1ahp3ahp4ahp5 mutants have severe growth and development phenotypes, while the mutants with complete loss of Ahp1ahp2-2ahp3ahp4ahp5 function also have female gamete abortion [14].

Studies have shown that modification of the AHP1 protein by S-nitrosylation can inhibit its own phosphorylation and that of its downstream component ARR1 protein, as well as negatively regulate cytokinin signaling [15]. This result indicates that the redox potential can directly affect the cytokinin regulation signals, thereby shows the involvement in regulation of PGD. The ahp2ahp3ahp5 triple mutant has obvious defects in embryo sac development, and the central cell nuclear antipodal cells are absent in the ovule, homologus to the phenotype of cki1. This implies that AHP2, AHP3 and AHP5 may form a binary component with CKI1 and become the main factor promoting the female gametophytes development in Arabidopsis [16].

Cotton is not only an important cash crop worldwide but also a pioneer crop planted in saline-alkali soil. The roles of AHPs in salt and drought stress have been deeply studied, however, cotton is not well known for their functions, especially the mechanism of action during salt tolerance and drought stress. In current study, the characteristics of the HP gene family were examined and analyzed in cotton; and their expression in response to abiotic stresses and different tissues in Gossypium hirsutum L. were researched. The functions of GhHP23 and GhHP27 in response to drought and salt tolerance were investigated using VIGS technology. It was found the silencing of these two genes could improve the salt and drought tolerance of cotton. Our results offer useful acumens into the function of HP genes in cotton in the future, which may offer several HP candidate genes for resistance breeding in cotton.

Results

Identification of HP genes

BLASTp search of HP genes from Oryza sativa (Os) and Arabidopsis (At) used as query results into identification of a total of 30, 34, 21, 18, 10, 18, 9, 7 and 18 HP genes from G. hirsutum (Gh), G. arboreum (Ga), G. barbadense (Gb), G. raimondii (Gr), Theobroma cacao (Tc), Populus trichocarpa (Pt), Vitis vinifera (Vv), Zea mays (Zm) and Glycine max (Gm), respectively. The genes were named according to the position on the chromosome in ascending order: (GhHP1-30, GbHP1-34, GaHP1-21, GrHP1-18, TcHP1-10, PtHP1-18, VvHP1-30, ZmHP1-34 and GmHP1-18). The detailed information is presented in Table S2.

In addition, we also analyzed the biophysical features of HP genes in cotton: like genomic, CDS and protein lengths, isoelectric point, molecular weight, and subcellular localization. Among the 103 identified cotton HP members, with fewer than 100 amino acids, GaHP1 was found as the smallest HP protein among 103 total HP genes, and GrHP1 was recognized as the largest HP protein. The molecular weight ranged from 7 to 25.41 kDa, whereas the pI ranged from 4.78 to 17.28. The predicted results of subcellular localization suggest that most of them are localized in the nucleus, but some HP proteins are localized in or only in the extracellular region or cytoplasm. It is speculated that HP proteins located in different cell compartments may perform different functions. The detailed information is presented in Supplementary Table S3.

Evolutionary analysis of HP Gene family in multiple plant species

Multiple sequence alignment of the cotton HP proteins showed that there was a highly conserved amino acid residue sequence "XHQXKGSSXS"(Fig. S1, S2, S3 and S4). It is similar to the Arabidopsis HP protein. The conserved sequenses of the HP gene family members shows the great level of conservation between cotton and Arabidopsis. Phylogenetic tree analysis showed that 176 HP proteins of 11 plant species were divided into 7 subfamilies (Fig. 1).

Fig. 1
figure 1

The phylogeny trees of HP family genes. A Phylogenetic relationship of the 171 identified HP genes from 5 plant species. Arabidopsis thaliana (At), G. hirsutum (Gh), G. barbadense (Gb), G. arboreum (Ga), G. raimondii (Gr), Theobroma cacao (Tc), Populus trichocarpa (Pt), Vitis vinifera (Vv), Zea mays (Zm) and Glycine max (Gm). B Phylogenetic relationship of 109 identified HP genes from four cotton species and Arabidopsis. The two neighbor joining (NJ) phylogeny trees constructed using MEGA 7.0 software. Bootstrap values above 50% from 1000 replicates are shown at each node

The HP proteins in the V, VI and VII subfamilies of monocots clustered together separately, but there were no monocot HP proteins in I, II, III and IV subfamilies. This shows that the HP protein of dicotyledonous plants in I, II, III and IV subfamilies has expanded in the course of evolution. In addition, this was also illustrated in the phylogenetic tree: the protein number of allotetraploid cotton, G. hirsutum and G. barbadense is almost twice that of G. arboreum and G. raimondii, indicating that the HP protein has amplified in the process of evolution. Therefore, it is speculated that two tetraploid species (Gh, Gb) were originated from two diploid plant species (Ga, Gr) after their hybridization between the two diploid cotton species.

Gene structure analysis and conserved motifs

In plants, the exons and introns of gene structure are related to their biological functions. The HP gene in cotton generally contains 6 exons and 5 introns in this study (Fig. 2A). The GbHP24 gene in the IV subfamily contains the most exons (8) and introns (7), and the GbHP8, GbHP1, GaHP11, while GaHP1 genes in the III subfamily contain the fewest exons (3) and introns (2). The motif analysis of the cotton HP proteins showed that 10 motifs were distributed on different cotton HP proteins (Fig. 2B). Most HP proteins contain 6 motifs, only GaHP15 contains 1 motif (Motif 3), and GhHP18 contains 2 motifs (Motif 3 and Motif 7). In addition, through the analysis of the cotton HP protein domains, we come to know that all HP proteins from cotton encompass a conserved HP domain, which is the basic feature of HP family proteins (Fig. 2C).

Fig. 2
figure 2

Comparison of the gene structure, conserved protein motifs and domains in HP genes on the G. hirsutum. A The NJ phylogenetic tree was constructed based on the full-length sequences of G. hirsutum HP proteins using MEGA 7.0 software, and Exon-intron structure of G. hirsutum HP genes. Details of subfamilies are shown in different colors. Blue boxes indicate exons; black lines indicate introns. B The motif composition of G. hirsutum. The motif numbers 1–10, are displayed in different colored boxes. C Schematic representation of the conserved domains in G. hirsutum HP proteins. The Hpt domain is highlighted by pink box. The length of DNA genomic or protein can be estimated using the scale at the bottom

Chromosomal distribution and collinear analysis

The chromosome position of the HP family genes in four cotton species was analyzed. The results showed that 103 HP genes were disseminated on different chromosomes (Fig. S5). In G. arboreum, the distribution of GaHP genes on chromosome A2-A06 was the highest, with five genes (GaHP6, GaHP7, GaHP8, GaHP9 and GaHP10). There were four GaHP genes on chromosome A2-A05, three GaHP genes on chromosome A2-A10, and two GaHP genes on chromosomes A2-A09, A2-A11 and A2-A13; chromosomes A2-A02, A2-A07 and A2-A12 had one GaHP gene. In G. raimondii, 18 GrHP genes were distributed on seven chromosomes, among which two chromosomes, D5-D09 and D5-D10, were the most widely distributed; four GrHP genes were also present, and chromosome D5-D08 contained only one GrHP gene. There were three GrHP genes distributed on chromosome D5-D06, and two GrHP genes were distributed on other chromosomes, i.e., D5-D07, D5-D011 and D5-D13. In G. hirsutum, 30 HP genes were distributed on 14 chromosomes, and chromosome AD1-A06 had four HP genes (GhHP3, GhHP4, GhHP5 and GhHP6). One GhHP gene was distributed on each chromosome, e.g., AD1-A12 and AD1-A30, while rest of chromosomes had two or three GhHP genes. 34 GbHP genes were distributed on 14 G. barbadense chromosomes. Five GbHP genes were distributed on chromosome AD2-D06. There were four GbHP genes on chromosome No. A06.

Gene duplication relationship analysis of HP gene family members from four cotton species results into 137 homologus/orthologus pairs demonstrating a good collinearity among them. Majority of duplicated pairs experienced WGD and segmental duplication with total count of 134 from 137 while only three pairs contributed from tandem duplication within the GhAt/GhDt, GhAt/A2 and A2/GhAt subgenomes. Results demonstrating the origination of ortho/paralogus from WGD before polyploidization during the time course of evolution (Fig. 3A and Table S4). We further examined the collinearity among orthologus of G. hirsutum, T. cacao and A. thaliana to explore the possible evolutionary connections among them which shows the great conservation among cotton species (Fig. 3B).

Fig. 3
figure 3

The collinear relationship HP genes. A Between G. arboreum and G. hirsutum and between G. raimondii and G. hirsutum (from top to bottom). The gray lines: the collinearity of the whole genome among cotton. The blue line: the collinearity of HP pairs in inter-genomics. B Between Arabidopsis thaliana (At), G. hirsutum (Gh) and Theobroma cacao (Tc) (from top to bottom). The gray lines: the collinearity of the whole genome among cotton. The blue line: the collinearity of HP pairs in inter-genomics

Expression patterns of GhHP genes in different tissues

We analyzed the transcriptome data of the HP gene family members in various tissues of cotton to explore their biological functions and we found that GhHPs in subfamilies VII and IV were hardly expressed in various tissues (Fig. 4). Among them, GhHP13, GhHP28, GhHP11, GhHP26, GhHP9 and GhHP24 were mainly found expressed in the leaves, stems and roots, and the expression level in the ovule and fiber was also relatively high. GhHP12 and GhHP27 were mostly expressed in roots, leaves and petals. GhHP15 and GhHP23 were mainly expressed in roots, stems and the torus. This showed that these genes are not only tangled in the regulation of the vegetative growth of the above and belowground parts of cotton but are also implicated in the reproduction. Similar expression patterns were observed in same clades while significant difference can be observed among different clades especially monophyletic clades are more diverse in expression patterns.

Fig. 4
figure 4

Transcriptome analysis of GhHP genes in different tissues

For verification of the RNA-seq data, the qRT-PCR of seven selected HP genes in G.hirsutum was performed to analyze the expression patterns in the stem, roots, leaves, flowers, ovules (0, 1), fiber (5, 10, 20, 25DPA), stamens and pistil (Fig. 5). The results showed that three GhHP genes (GhHP2, GhHP23 and GhHP24) displayed higher expression in the stem. Two GhHP genes (GhHP42, GhHP27) were highly expressed in the flower. Six GhHP genes (GhHP2, GhHP3, GhHP18, GhHP23, GhHP24 and GhHP28) were constitutively expressed during fiber development. It is noteworthy that GhHP3 was specifically expressed in fiber development but in early stages in fact its expression increases with increase in elongation of fiber development and secondary wall-thickening stage. These findings indicated the imperative roles of GhHP genes in fiber development. In addition to GhHP3 gene, six more GhHPs were responsive in limited quantity in stamen and pistil of cotton. The results were consistent with the RNA-seq data.

Fig. 5
figure 5

qRT-PCR was conducted to analyze the relative expression of seven GhHP genes in different tissues (S: stem, R: root, L: leaf, F: flower, Sta: stamen, Pis: pistil and fiber (0, 1, 5, 10, 15, 20, 25 day post anthesis)

Promoter analysis of GhHP genes

Presence of cis-acting elements in the promoter region of genes has played an important role in the regulation of downstream genes. The 2000 bp upstream promoter sequences of 30 cotton HP family genes were analyzed (Table S4). These cis elements were mainly responsive to biotic and abiotic stress, plant hormone response, growth and development and other processes. Among the biotic and abiotic stress responses, the number of cis-acting elements such as Myc, ARE, STRE, MBS and LTR was the highest, indicating that the downstream genes regulated by them can respond to stress under adverse conditions to regulate gene expression to adapt to adverse environmental conditions. The presence of these cis-acting elements in the promoter sequences of genes such as GhHP13, GhHP23, GhHP26, GhHP27 and GhHP28 may regulate their adaptation to stressors such as temperature, salt and drought (Fig. 6).

Fig. 6
figure 6

Analysis of HP genes promoter and its expression pattern under different stresses. A Phylogenetic tree of GhHPs. B Cis-elements in promoters of GhHPs. C Expression pattern of GhHPs under different stresses

In response to plant hormone stress, the number of the cis-acting element ERE in response to ethylene that of the cis-acting element MYB in response to auxin, and that of the cis-acting element ABRE and AAGAA-motif in response to abscisic acid were the highest. These cis-acting elements in response to hormones controls the expression of genes in response to hormone stress, thereby regulating PGD or adapting to external environmental conditions. For example, the genes (GhHP3, GhHP6, GhHP8, GhHP11, GhHP13, GhHP15, GhHP21, GhHP24, GhHP28 and GhHP30) containing the cis-acting element ABRE and AAGAA-motif of abscisic acid regulate the PGD in response to adverse environmental conditions.

Among the cis-acting elements that regulate PGD, most of them are light-regulated cis-acting elements, with the largest number of Box-4, G-box and GT1-motifs. The HP family genes regulate the PGD through these light-responsive cis-acting elements. However, there are also some specific cis-acting elements involved in PGD, such as cis-acting elements in the GhHP5, GhHP11, GhHP14 and GhHP19 gene promoters involved in the specific expression of meristems (NON-box, CAT-box and CCGTCC-motif) and cis-acting elements in the GhHP8, GhHP18, GhHP21 GhHP24 gene promoters that are specifically expressed in the plant endosperm (AACA-motif and GCN4-motif).

Transcriptome based Expression profiling of GhHPs and validation by qRT-PCR

Considering the promising functions of GhHP genes under various environmental constraints, the transcriptome data of 30 GhHP genes under different stresses (high temperature, low temperature, NaCl treatment and PEG treatment) were analyzed [17], and different GhHP genes showed different responses to stress treatments (Fig. 6C). In this study, salt-tolerant materials (Zhong9807) and salt-sensitive materials (ZhongJ0102) were selected as a group to study the expression patterns of HP family genes under salt stress. Drought tolerant materials (ZhongH177) and drought sensitive materials (ZhongS9612) were selected as a group to study the expression patterns of HP family genes under drought stress. Compared with the control treatment, GhHP23 and GhHP27 showed up-regulated expression under various treatment conditions. This showed that these two genes have a wide range of resistance to adversity stress and can be used as candidate genes for the study of cotton resistance to stress. In addition, the expressions of GhHP13 and GhHP28 were up-regulated compared with the control under cold/heat treatment conditions. GhHP26 is down-regulated under cold stress conditions. These three genes are sensitive to temperature and can be used as candidate genes for research on cold tolerance or high-temperature tolerance.

We selected a group of salt-tolerant and salt-sensitive materials (Fig. 7) and a group of drought-tolerant and drought-sensitive materials (Fig. 8) and tested whether the HP genes were involved in drought and salt stress tolerance of cotton using the qRT-PCR method. A total of six genes were selected for expression analysis in the two sets of materials under salt and drought treatment (Figs. 7 and 8). The results showed that the expression levels of GhHP23, GhHP24 and GhHP27 changed significantly after 3 hours of salt treatment, i.e., decreased significantly in the salt-sensitive materials and increased significantly in the salt-tolerant varieties. GhHP24 and GhHP28 also showed significant changes in this group of materials after 6 h of salt treatment: the expression levels of GhHP24 and GhHP28 increased significantly in salt-sensitive materials but decreased significantly in salt-tolerant varieties (Fig. 7). These results indicated that GhHP genes may be involved in regulating the salt stress response of cotton, and GhHP23, GhHP24, GhHP27 and GhHP28 can be used as candidate genes for salt stress regulation in cotton. After drought treatment (Fig. 8), the GhHP genes showed significant differences in almost every period compared with the control, and the expression trends of drought-sensitive and drought-tolerant materials were basically the same.

Fig. 7
figure 7

Expression levels of 6 GhHPs in 400 mM NaCl stress. Error bars represent SD of three independent experiments. The data represent the means _ SE from three independent experiments, t-tests: * p < 0.05, ** p < 0.01

Fig. 8
figure 8

Expression levels of 6 GhHPs in 20% PEG6000 drought stresses. Error bars represent SD of three independent experiments. The data represent the means _ SE from three independent experiments, t-tests: * p < 0.05, ** p < 0.01

It is worth noting that after 1 h of PEG6000 treatment, the expression levels of the GhHP23 and GhHP27 genes showed significant differences between drought-sensitive and drought-tolerant materials. The expression levels of GhHP23 and GhHP27 decreased significantly in drought-tolerant materials and increased significantly in drought-sensitive materials (Fig. 8). These results indicate that the GhHP23 and GhHP27 genes are involved in the regulation of drought stress in cotton, which is consistent with the RNA-seq data.

Interaction network of GhHP proteins

On the basis of homologs of Arabidopsis, we draw a protein-protein interaction network for GhHPs using online STRING database to find the key potential regulatory genes from GhHP gene family [13]. Based on the fully studied Arabidopsis HP proteins, we can infer the large part of the regulatory network involved in cotton HP proteins. Through a protein family search, we found that Arabidopsis HP participates in the regulation of MAP kinase cascades as a two-component phosphate layer intermediate (KOG4747) (Fig. 9A). This shows that the function of cotton HP members depends on the two-component signal transduction system and serine/threonine protein kinase signal transduction. Based on multiple sequence searches (Fig. 9B), All GhHP family proteins only interacted with HK proteins and RR proteins, which confirmed that GhHP family proteins played an important role in TCS signal transduction system. Combined with the results of qRT-PCR, we analyzed the protein interaction network of GhHP27 (Fig. 9C) and GhHP23 (Fig. 9D). In the prediction results of protein interaction network of GhHP27 and GhHP23, we found that HP27 and HP23 interacted with ARR1, ARR4, ARR5, ARR10, ARR12, AHK2, and AHK3, and these genes that transcribe these proteins are confirmed to be related to drought stress in Arabidopsis [18,19,20,21,22], indicating that GhHP27 and GhHP23 may participate in drought stress and play an important role with cotton.

Fig. 9
figure 9

Interaction network of HP proteins. A Interaction network of HP proteins families in Arabidopsis. The red letters represent HP proteins signaling pathway. B Interaction network of GhHPs proteins with other proteins. The black and red letters represent AtHP proteins and cotton HP proteins, respectively. C Interaction network of GhRR27 proteins with other proteins. The black and red letters represent AtHP proteins and GhHP27 proteins, respectively. D Interaction network of GhHP23 proteins with other proteins. Black letters represent AtHP protein. Red letters represent GhHP23 protein, respectively

Silencing of GhHP23 and GhHP27 compromises cotton tolerance to drought and salt stress

Considering expression patterns of the GhHP genes based on transcriptome data, we organize a VIGS system to check their expression responses after knock down of two important GhHP genes (GhHP23 and GhHP27). TRV: GhCLA1 was used as a positive control, and its cotton leaves showed an albino phenotype two weeks after VIGS operation (Fig. 10). We did not find any significant difference in expression levels of TRV: GhHP23 and TRV: GhHP27 as compared to control one (TRV: 00). However, qRT-PCR analysis showed the declined expression levels of GhHP23 and GhHP27 (Fig. 11A), indicating that these two genes were silenced. Therefore, we treated the empty and silent plants with 400 mM NaCl and 20% PEG6000 and found that the silent plants exhibited a phenotype of wilting and water loss. Due to the decreased expression levels of GhHP23 and GhHP27, its ability to tolerate salt stress and drought stress decreased. The results showed that GhHP23 and GhHP27 are positive regulators of salt and drought tolerance.

Fig. 10
figure 10

Silencing of GhHP23 and GhHP27 compromised cotton drought stress tolerance. A The positive control plants. B and C Phenotypes of TRV: 00, TRV: GhHP23 and TRV: GhHP27 before and after 400 mM NaCl treatment. D and E Phenotypes of TRV: 00, TRV: GhHP23 and TRV: GhHP27 before and after 20% PEG6000 treatment

Fig. 11
figure 11

Indicator determination after Silencing of GhHP23 and GhHP27 under drought stress tolerance. A Relative expression levels of control plants and target gene-silenced. B CAT activity between control plants and target gene-silenced under TRV: 00, 400 mM NaCl and 20% PEG6000 stress treatment. C POD activity between control plants and target gene-silenced under TRV: 00, 400 mM NaCl and 20% PEG6000 stress treatment. D Expression levels of GhHK3, GhHK4, GhRR17, GhRR7 and GhRR28 genes in TRV: GhHP23 silenced plants. E Expression levels of GhHK3, GhHK4, GhRR17, GhRR7 and GhRR28 genes in TRV: GhHP27 silenced plants. The data represent the means _ SE from three independent experiments, t-tests: * p < 0.05, ** p < 0.01

Under salt and drought stresses, the POD and CAT activities in TRV: GhHP23, TRV: GhHP27 and TRV: 00 control cotton leaves were measured (Fig. 11B/C). Compared with the TRV: 00 control cotton, TRV: GhHP23, TRV: GhHP27 cotton showed higher POD and CAT levels. These results indicate that silencing of the GhHP23 and GhHP27 genes enhanced the drought tolerance of the cotton plants. Based on the prediction results of the protein regulatory network involved in GhHP23 and GhHP27, we detected the expression of GhHK3, GhHK4, GhRR17, GhRR7 and GhRR28 in TRV: GhHP23, TRV: GhHP27 and TRV: 00. Compared with the control, the expressions of GhHK3, GhHK4, GhRR17, GhRR7 and GhRR28 decreased significantly in TRV: GhHP23 (Fig. 11D). However, in TRV: GhHP27 plants, the expression of GhHK3 increased and the expression of GhHK4 decreased compared with the control. The expression of GhRR7 and GhRR28 decreased significantly with the control (Fig. 11E). This shows that the silencing of GhHPs directly affected the expression levels of GhHKs and GhRRs.

Discussions

As a component of TCS, HP genes have implications in regulating several abiotic stresses in no of crop plants. The HP genes have been reported in several dicot crops including Chinese cabbage [23], Arabidopsis [24] and soybean [25] as well as in monocot crops like maize [26]. However, the GhHP family genes have not been identified in cotton, and the role of HPs in growth, development and abiotic stress of cotton is still unclear. Present study comprises of complete systematic characterization and comparative analysis of HP gene family in multiple plant species for their different aspects from structure to function and evolution. Two GhHP genes are also well explored by their knockdown for their predicted roles in drought stress through VIGS analysis. This study will lay down a foundation for exploring the multiple functions of HP genes in upland cotton in future, especially in abiotic stress tolerance mechanism and fiber development.

Overall 30, 34, 21 and 18 HP family members were recognized in G. hirsutum, G. barbadense, G. arboreum and G. raimondii, respectively. Unexpectedly, no of HP genes in tetraploid species are not twice to their diploid progenitors but less than the expected amount demonstrating the gene loss during evolution under strong purifying selection indicating the functional conservation of HP gene family. Uneven distribution of the HP genes was observed on chromosomes of the cotton A and D subgenomes. Further, complete systematic investigations are needed to provide insight into the HP gene family evolution in cotton. The CDS sequences of the cotton HP genes ranged in size from 186 to 678. Most HP proteins are localized in the nucleus, and only a few are localized in the cytoplasm and extracellular compartment. Cotton HP proteins contain only the Hpt domain. These characteristics are consistent with the HP genes in Chinese cabbage [23], which indicates that the nucleic acid and amino acid characteristics are relatively conserved in the differentiation process of HP genes family in different species.

Gene duplication is one of the important processes for structural and functional evolution of different organisms. Whole-genome doubling (WGD) can generate huge amount of repetitive genes at the same time, which is one of the most important evolutionary events that widely exist in plants, animals and fungi [27,28,29,30,31,32]. Phylogenetic tree analysis divided the GhHP gene family into 7 groups/clades as shown in Fig. 1. The collinearity results showed that the expansion of the HP family occurred as a result of WGD/segmental duplications and tandem duplication (Table S4). In the process of evolution, gene synteny will decrease due to various factors, and the gene synteny between species with greater evolutionary distance is lower [29]. The synteny analysis of Arabidopsis thaliana, T.coco and G. hirsutum also proved this point, that is, GhHPs had good collinearity with TcHP but poor collinearity with AtHP. The phylogenetic tree analysis among different species shows that monocotyledonous plants occurred only on three branches, V, VI and VII, and dicotyledonous plants were distributed among the I-VII subfamilies. It is speculated to be associated with the ancient genome of the γ triploidization event shared with dicotyledonous plants [33, 34]. Dicotyledonous plants have undergone different lineage-specific genome-wide doubling processes [35], resulting in different evolutionary events of the HP gene in each species. Study of HP gene family in Arabidopsis demonstrates their implication in growth & development of organs [36,37,38]as well as in no of various kinds of abiotic stresses like excessive concentrations of salts, abscisic acid, water deficiency, and stress signaling [19, 20, 39, 40]. Phylogenetic tree analysis showed that GhHP2, GhHP7, GhHP9, GhHP12, GhHP17, GhHP19, GhHP24 and GhHP27 had the highest similarity with AHPs and might play similar functions in cotton.

We further analyze the different cis-elements present in promotor region of GhHP genes associated with different environmental constraints. To gain further insights into the regulation of GhHP genes under changing environmental conditions, we investigated the cis-regulatory elements inside their promoter regions. These cis-acting elements are mainly associated with different responses from biotic and abiotic stresses, plant hormonal responses, PGD and other processes. Our finding for cis elements are consistent with previously reported results [4,5,6,7]. Transcriptome data analysis of the GhHP family gene tissue expression and related stress expression showed the similar expression patterns exhibited by homolog genes signifying their functional conservations. The qPCR results showed that under salt stress and drought stress, GhHP family genes are involved in regulating abiotic stress in cotton; in particular, GhHP23 and GhHP27 plays a vital role in controlling salt and drought stress in cotton by analyzing the expression of GhHP family genes in two groups of control materials. This result is inseparable from their genetic structure. Tissues specific expression profiling illustrates the identification of specific genes and their particular role in certain developmental stage [41]. In Arabidopsis, several AHPs perform positive roles in regulation of cytokinin signaling [12].

The role of HP family genes in cotton was estimated, and preliminary verification was carried out through transcriptome data analysis and real-time fluorescence quantitative experiments of the GhHP family genes. The results showed that the GhHP3 gene was expressed only in the middle and late stages of fiber development, GhHP27 was mainly upregulated in flowers. GhHP2, GhHP23 and GhHP24 were basically upregulated in stems. GhHP18 in the initial stage of development, and GhHP24 and GhHP28 were constitutively expressed mainly in each phase of fiber development. These results are consistent with the transcriptome data. This indicates that the GhHP family genes not only participate in regulating the vegetative growth of cotton but might be involved in playing crucial role at initial stage, elongation stage, secondary wall-thickening stage and dehydration maturity step of fiber development in cotton.

MAPK signaling pathway is well known biological process for regulating almost all aspects of PGD and manifestation of multiple responses exhibited by plants in response to environmental stimuli [42, 43]. For example, knockdown of the GhMEKK12 and GhRAF4 genes in cotton plants decline the drought stress resistance significantly [44]. Similarly, GhMPK17 was reported in multiple functions in same study like ABA signaling, response to osmotic stress and high salinity stress resistance [45]. Protein regulatory network analysis showed that the HP protein is involved in the MAPK cascade regulation (KOG4747) regulatory pathway, and might have implications in MAPKKK, SSK2 and serine/threonine related protein kinases (KOG4645), mitogen-activated protein kinase (MAP2K) (KOG0581) and other regulatory pathways. This indicates that GhHPs may interact with MAP kinase and ultimately participate in the regulation of abiotic stress in cotton. Similar results are published from previous studies like which shows that interaction of OsMAPKKK63 with OsMKK6 and OsMKK1 in response to salt stress and regulation of seed dormancy [46]. Similar finding were reported by [47], in which OsMPKK10.2 regulates the activation of various MAPKs for enhancing drought and disease resistance. WRKY33/MKS1, MPK4/6 and MEKK1 participate in the regulation of salt stress response [48, 49] and GhMPK16 shows its responses toward regulating drought and disease resistance mechanism [50].

To further explore the functions of GhHPs in cotton salt stress responses and drought tolerance, two GhHPs (GhHP23 and GhHP27) were knocked down with VIGS system using TRV virus successfully. The results showed that knockdown of GhHP23 and GhHP27 genes reduced the salt and drought resistance in cotton plants making them more vulnerable to given stresses as treatments. Stressful environment created by drought and salinity causes the onset of production of reactive oxygen species in excess amount which will be mitigate by alternative responsive systems like superoxide dismutase or catalases [51]. We measured the physiological indexes of POD and CAT activities under salt and drought stresses. Plants silenced with activity of GhHP23 and GhHP27 under drought and salt stress genes were observed having increased POD and CAT activities as compared to control ones. This indicated that the scavenging ability of ROS was enhanced, which may be one of the pathways through which GhHP23 and GhHP27 regulate salt and drought resistance in cotton. Based on the protein regulatory network analysis of GhHP23 and GhHP27, we speculated that GhHP23 interacts with GhHK3, GhHK4, GhRR7, GhRR17 and GhRR28 and detected the expression levels of the five protein-related genes in the TRV: GhHP23 and TRV: GhHP27 target gene-silenced plants (Fig. 8G/H). The results showed the similar expression of GhRR23 gene with those five genes. After GhRR23 was silenced, the expression levels of the GhHK3, GhHK4, GhRR7, GhRR17 and GhRR28 genes were significantly reduced. After GhRR27 was silenced, in addition to the significant increase in GhHK3, the GhHK4 was significantly decreased, and the expression levels of GhRR7 and GhRR28 were significantly decreased. Studies have shown that in the TCS system, the HP-conserved His residue accepts a phosphoryl group from HK and moves from the cytoplasm to the nucleus, where it transports the phosphoryl to the RR containing the Asp residue [24, 52,53,54]. It is speculated that GhHKs interact with GhHPs and GhRRs to negatively regulate the stress of cotton salt and drought resistance. This result is consistent with the finding that AHP2/AHP3/AHP5, OsAHP1 and OsAHP2 [55] negatively regulate plant abiotic stress.

Conclusions

It's here, a comprehensive analysis of the HP gene family, an important component of the TCS system involved in cytokinin signal transduction, was performed in four species of Gossypium. Systematic and comparative structural, functional and evolutionary analysis of HP gene family members provides indepth insights into their complete background and their possible use future research for provision of genetic material for plant breeding and genome editing projects. The expression profiling of GhHPs in diverse no of tissues under multiple abiotic stress treatments were examined, using transcriptome data signifies their possible predicted roles reproductive growth of cotton no of abiotic stress, particularly salt and drought stress. Moreover, protein regulatory network analysis and validation of two important regulatory HP genes (GhHP23 and GhHP27) through a VIGS system supports their implications in salt and drought stress tolerance mechanisms. It may regulate the content of ROS by interacting with some genes in the GhHK and GhRR families, thereby responding to cotton salt and drought stresses.

Materials and methods

Identification and analysis of HP genes in cotton

Arabidopsis HP protein sequences were downloaded from TAIR (http://www.arabidopsis.org/). Gossypium (G. arboreum [56], G. raimondii [57], G. barbadense [58], and G. hirsutum [17]) HP protein sequences were downloaded from CottonFGD (https://cottonfgd.org/about/download.html) [59]. Other plant species including Zea mays, Populus trichocarpa, Oryza sativa, Glycine max, Theobroma cacao and Vitis vinifera HP protein sequences were downloaded from phytozome (https://phytozome.jgi.doe.gov/pz/portal.html).

Identification of genes encoding proteins containing HP-domains was performed using Interproscan 5 (http://www.ebi.ac.uk/interpro/) [44, 60] against the HP domain (IPR008207) (e-value<0.1). Blastp search for HP domain and protein sequence of several HP genes from Arabidopsis were used as query to extract all the possible HP genes in cotton. Web server of SMART (http://smart.embl-heidelberg.de/) was used to recognize the HP domain [44]. We get the physicochemical properties of HP gene family cotton members from ExPASy (http://web.expasy.org/) following subcellular localization prediction by the Cello v2.5 server [61].

Sequences alignments and phylogenetic analysis

DNA Man 2.0 was used for multiple sequence alignment HP domain sequences of four cotton species. HP proteins were aligned for sequence logo analysis, and WEBLOG was used for submission of multiple alignment result to generate the logos [62]. We use MEGA7 for multiple sequence alignment of HP proteins sequences from all eleven plant species using neighbor-joining method with 1000 bootstrap value under Poisson model [63] representing the evolutionary connections of all classes of plants.

Analysis of the gene structure, conserved motifs and chromosomal locations

Multiple Em for Motif Elicitation website (http://meme-suite.org/) was employed to recognize the conserved motifs of HP genes with p-value less than 1e−5 [64]. Gene Structure Display Server [65] for gene structure analysis. We used TBtools for graphical representation of conserved motifs, gene structure and chromosomal locations for each gene [66]. Gene duplications analysis was calculated with advanced Circos and multiple collinearity of duplicated gene was displayed with TBtools software to show their relationship with each other [66].

Promoter analysis and Expression profiling of HP Genes

2000 bp upstream nucleotide sequences of HP gene family members were acquired from the CottonFGD as promoters [67] and submitted to PlantCARE database (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) to find the Cis elements of related functions. RNA-seq data was accessed through Cotton Omics Database (http://cotton.zju.edu.cn/10) for expression profiling of GhHPs under different circumstances [17] following the construction of heat map and Cis-elements representation along the tree used TBtools.

qRT-PCR of GhHPs

Plant material for upland cotton verities “Zhong9807, ZhongJ0102, TM-1, ZhongH177, and ZhongS9612” were obtained from the parent lab (Institute of Cotton Research, CAAS, China). For qRT-PCR, based expression analysis seeds of G. hirsutum cv Zhong9807 (Salt tolerant), ZhongJ0102 (Salt sensitive), ZhongH177 (Drought tolerant) and ZhongS9612 (Drought sensitive) were grown in controlled condition (25 °C, 16 h/8 h day/night) and treated with 200 mM NaCl and 12% PEG along with zero treated plants at age of 4 weeks older with exception of only TM-1 seeds which were grown at 28 °C and ultimately samples were collected from roots, stem and leaves for extraction of total RNA. Similarly, samples were also taken after 1, 3, 6, 9, 12, 15, 18, 21, 27 days of flowering, fiber and stamen pistil and saved in liquid nitrogen following transfer into -80°C for future use and was reverse transcribed using PrimeScript™ kit. Using the Bio-Rad CFX96 fluorescence quantitative PCR platform with TB Green® Fast qPCR Mix, we performed the qRT-PCR analysis with 3 independent replications, and 2−ΔΔCT [68] system was used to measure the relative expressions of GhHP genes and GhUBQ7 (GenBank accession No.DQ116441) was used for internal references. Specific primers used for qRT-PCR of GhHPs were given in Table S1.

PPI Network of HP Gene family on homologs basis

Using 0.4 threshold as a confidence level, we used the online database of the STRING (htps://string-db.org/) to investigate the interaction of HP proteins on the basis of Arabidopsis orthologues.

Vector construction of cotton VIGS system

322bp and 215bp sequences of GhHP23 and GhHP27 genes were amplified using cDNA from Zhong9807 of upland cotton and inserted into TRV plasmid vector by using a single step cloning kit (Vazyme biotech, China) to generate vector gene complexes for both genes TRV: GhHP23 and TRV: GhHP27. The empty vector TRV: 00 as a control. GV3101 strain of A. tumefaciens was used for transformation of constructs by electroporation method. For whole process of VIGS, we followed Wang et al. [60]. Gene specific primers were used for VIGS as given in Table S1.

Salt and drought tolerance for functional analysis of GhHP genes

Seedlings from Zhong9807 were grown in growth chamber under favorable conditions (25 °C, 16 h/8 h light/dark period). The efficacy of VIGS was verified by qRT-PCR analysis. The roots of both kind of plants from control group and plants with knockdown gene were watered with 400 mM NaCl up to 24 h with three replications and each replication consists of 15 plants. 20% PEG6000 as drought stress treatment uses the same methods and steps as described above.

Determination of salt and drought stress-related physiological parameters

The peroxidase (POD) activities of TRV: 00, TRV: GhHP27 and TRV: GhHP23 was measured by using POD kit (Solarbio, BC0170, Beijing, China) according to directions given in kit manual and catalase (CAT) activity was computed refer to the description of Zhang et al., [44].

Availability of data and materials

The genomic data of cotton, Arabidopsis thaliana in the article can be downloaded from Cotton FGD (https://cottonfgd.org/) and TAIR (https://www.arabidopsis.org/) respectively. Other plant species includes Zea mays, Populus trichocarpa, Oryza sativa, Glycine max, Theobroma cacao and Vitis vinifera HP protein sequences were downloaded from phytozome (https://phytozome.jgi.doe.gov/pz/portal.html). The analysis software, analysis methods and datasets generated are available from the corresponding author on reasonable request.

Abbreviations

HP:

histidine phosphotransfer

PGD:

plant growth development

TCS:

Two-component system

HK:

histidine kinase

RR:

response regulators

Os :

Oryza sativa

At :

 Arabidopsis thaliana 

Gh :

G. hirsutum

Ga :

G. arboreum

Gb :

G. barbadense

Gr :

G. raimondii

Tc :

Theobroma cacao

Pt :

Populus trichocarpa

Vv :

Vitis vinifera

Zm :

Zea mays

Gm :

Glycine max

HMM:

Hidden Markov model

pIs:

isoelectric points

MWs:

Molecular weights

NJ:

Neighbor joining

VIGS:

Virus-induced Gene Silencing

POD:

Peroxidase

CAT:

Catalase

WGD:

Electrospray ionization

qRT-PCR:

Quantitative real-time polymerase chain reaction

References

  1. Hadiarto T, Tran LS. Progress studies of drought-responsive genes in rice. Plant cell reports. 2011;30(3):297–310.

    Article  CAS  PubMed  Google Scholar 

  2. Choudhary SP, Yu JQ, Yamaguchi-Shinozaki K, Shinozaki K, Tran LS. Benefits of brassinosteroid crosstalk. Trends Plant Sci. 2012;17(10):594–605.

    Article  CAS  PubMed  Google Scholar 

  3. Jogaiah S, Govind SR, Tran LS. Systems biology-based approaches toward understanding drought tolerance in food crops. Crit Rev Biotechnol. 2013;33(1):23–39.

    Article  PubMed  Google Scholar 

  4. Mizuno T. Two-component phosphorelay signal transduction systems in plants: from hormone responses to circadian rhythms. Biosci Biotechnol Biochem. 2005;69(12):2263–76.

    Article  CAS  PubMed  Google Scholar 

  5. Schaller GE, Shiu SH, Armitage JP. Two-component systems and their co-option for eukaryotic signal transduction. Curr Biol. 2011;21(9):R320-330.

    Article  CAS  PubMed  Google Scholar 

  6. Ha S, Vankova R, Yamaguchi-Shinozaki K, Shinozaki K, Tran LS. Cytokinins: metabolism and function in plant adaptation to environmental stresses. Trends Plant Sci. 2012;17(3):172–9.

    Article  CAS  PubMed  Google Scholar 

  7. Schaller GE, Kieber JJ, Shiu SH. Two-component signaling elements and histidyl-aspartyl phosphorelays. Arabidopsis Book. 2008;6:e0112.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Tanaka Y, Suzuki T, Yamashino T, Mizuno T. Comparative studies of the AHP histidine-containing phosphotransmitters implicated in His-to-Asp phosphorelay in Arabidopsis thaliana. Biosci Biotechnol Biochem. 2004;68(2):462–5.

    Article  CAS  PubMed  Google Scholar 

  9. Mähönen AP, Bishopp A, Higuchi M, Nieminen KM, Kinoshita K, Törmäkangas K, Ikeda Y, Oka A, Kakimoto T, Helariutta Y. Cytokinin signaling and its inhibitor AHP6 regulate cell fate during vascular development. Science. 2006;311(5757):94–8.

    Article  PubMed  Google Scholar 

  10. Punwani JA, Hutchison CE, Schaller GE, Kieber JJ. The subcellular distribution of the Arabidopsis histidine phosphotransfer proteins is independent of cytokinin signaling. Plant J. 2010;62(3):473–82.

    Article  CAS  PubMed  Google Scholar 

  11. Jung KW, Oh SI, Kim YY, Yoo KS, Cui MH, Shin JS. Arabidopsis histidine-containing phosphotransfer factor 4 (AHP4) negatively regulates secondary wall thickening of the anther endothecium during flowering. Mol Cells. 2008;25(2):294–300.

    CAS  PubMed  Google Scholar 

  12. Hutchison CE, Li J, Argueso C, Gonzalez M, Lee E, Lewis MW, Maxwell BB, Perdue TD, Schaller GE, Alonso JM, et al. The Arabidopsis histidine phosphotransfer proteins are redundant positive regulators of cytokinin signaling. Plant Cell. 2006;18(11):3073–87.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  13. Nishiyama R, Watanabe Y, Leyva-Gonzalez MA, Ha CV, Fujita Y, Tanaka M, Seki M, Yamaguchi-Shinozaki K, Shinozaki K, Herrera-Estrella L, et al. Arabidopsis AHP2, AHP3, and AHP5 histidine phosphotransfer proteins function as redundant negative regulators of drought stress response. Proc Natl Acad Sci U S A. 2013;110(12):4840–5.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Deng Y, Dong H, Mu J, Ren B, Zheng B, Ji Z, Yang WC, Liang Y, Zuo J. Arabidopsis histidine kinase CKI1 acts upstream of histidine phosphotransfer proteins to regulate female gametophyte development and vegetative growth. Plant Cell. 2010;22(4):1232–48.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  15. Feng J, Wang C, Chen Q, Chen H, Ren B, Li X, Zuo J. S-nitrosylation of phosphotransfer proteins represses cytokinin signaling. Nat Commun. 2013;4:1529.

    Article  PubMed  Google Scholar 

  16. Liu B, De Storme N, Geelen D. Cold interferes with male meiotic cytokinesis in Arabidopsis thaliana independently of the AHK2/3-AHP2/3/5 cytokinin signaling module. Cell Biol Int. 2017;41(8):879–89.

    Article  CAS  PubMed  Google Scholar 

  17. Hu Y, Chen J, Fang L, Zhang Z, Ma W, Niu Y, Ju L, Deng J, Zhao T, Lian J, 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.

    Article  CAS  PubMed  Google Scholar 

  18. Wohlbach DJ, Quirino BF, Sussman MR. Analysis of the Arabidopsis histidine kinase ATHK1 reveals a connection between vegetative osmotic stress sensing and seed maturation. Plant Cell. 2008;20(4):1101–17.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  19. Tran LS, Urao T, Qin F, Maruyama K, Kakimoto T, Shinozaki K, Yamaguchi-Shinozaki K. Functional analysis of AHK1/ATHK1 and cytokinin receptor histidine kinases in response to abscisic acid, drought, and salt stress in Arabidopsis. Proc Natl Acad Sci U S A. 2007;104(51):20623–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. Tran LS, Shinozaki K, Yamaguchi-Shinozaki K. Role of cytokinin responsive two-component system in ABA and osmotic stress signalings. Plant Signal Behav. 2010;5(2):148–50.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  21. Urao T, Yakubov B, Yamaguchi-Shinozaki K, Shinozaki K. Stress-responsive expression of genes for two-component response regulator-like proteins in Arabidopsis thaliana. FEBS Lett. 1998;427(2):175–8.

    Article  CAS  PubMed  Google Scholar 

  22. Nguyen KH, Ha CV, Nishiyama R, Watanabe Y, Leyva-González MA, Fujita Y, Tran UT, Li W, Tanaka M, Seki M, et al. Arabidopsis type B cytokinin response regulators ARR1, ARR10, and ARR12 negatively regulate plant responses to drought. Proc Natl Acad Sci U S A. 2016;113(11):3090–5.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Liu Z, Zhang M, Kong L, Lv Y, Zou M, Lu G, Cao J, Yu X. Genome-wide identification, phylogeny, duplication, and expression analyses of two-component system genes in Chinese cabbage. DNA Res (Brassica rapa ssp pekinensis). 2014;21(4):379–96.

    Google Scholar 

  24. Hwang I, Chen H-C, Sheen J. Two-Component Signal Transduction Pathways in Arabidopsis. Plant Physiol. 2002;129(2):500–15.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  25. Mochida K, Yoshida T, Sakurai T, Yamaguchi-Shinozaki K, Shinozaki K, Tran LS. Genome-wide analysis of two-component systems and prediction of stress-responsive two-component system members in soybean. DNA Res. 2010;17(5):303–24.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Chu ZX, Ma Q, Lin YX, Tang XL, Zhou YQ, Zhu SW, Fan J, Cheng BJ. Genome-wide identification, classification, and analysis of two-component signal system genes in maize. Gen Mol Res. 2011;10(4):3316–30.

    Article  CAS  Google Scholar 

  27. Aury JM, Jaillon O, Duret L, Noel B, Jubin C, Porcel BM, Ségurens B, Daubin V, Anthouard V, Aiach N, et al. Global trends of whole-genome duplications revealed by the ciliate Paramecium tetraurelia. Nature. 2006;444(7116):171–8.

    Article  CAS  PubMed  Google Scholar 

  28. Bowers JE, Chapman BA, Rong J, Paterson AH. Unravelling angiosperm genome evolution by phylogenetic analysis of chromosomal duplication events. Nature. 2003;422(6930):433–8.

    Article  CAS  PubMed  Google Scholar 

  29. Jaillon O, Aury JM, Brunet F, Petit JL, Stange-Thomann N, Mauceli E, Bouneau L, Fischer C, Ozouf-Costaz C, Bernot A, et al. Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype. Nature. 2004;431(7011):946–57.

    Article  PubMed  Google Scholar 

  30. Jaillon O, Aury JM, Noel B, Policriti A, Clepet C, Casagrande A, Choisne N, Aubourg S, Vitulo N, Jubin C, et al. The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature. 2007;449(7161):463–7.

    Article  CAS  PubMed  Google Scholar 

  31. Kellis M, Birren BW, Lander ES. Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae. Nature. 2004;428(6983):617–24.

    Article  CAS  PubMed  Google Scholar 

  32. Paterson AH, Bowers JE, Chapman BA. Ancient polyploidization predating divergence of the cereals, and its consequences for comparative genomics. Proc Natl Acad Sci U S A. 2004;101(26):9903–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  33. Jiao Y, Leebens-Mack J, Ayyampalayam S, Bowers JE, McKain MR, McNeal J, Rolf M, Ruzicka DR, Wafula E, Wickett NJ, et al. A genome triplication associated with early diversification of the core eudicots. Genome Biol. 2012;13(1):R3.

    Article  PubMed Central  PubMed  Google Scholar 

  34. Vekemans D, Proost S, Vanneste K, Coenen H, Viaene T, Ruelens P, Maere S, Van de Peer Y, Geuten K. Gamma paleohexaploidy in the stem lineage of core eudicots: significance for MADS-box gene and species diversification. Mol Biol Evol. 2012;29(12):3793–806.

    Article  CAS  PubMed  Google Scholar 

  35. Salse J. Ancestors of modern plant crops. Curr Opin Plant Biol. 2016;30:134–42.

    Article  PubMed  Google Scholar 

  36. Higuchi M, Pischke MS, Mähönen AP, Miyawaki K, Hashimoto Y, Seki M, Kobayashi M, Shinozaki K, Kato T, Tabata S, et al. In planta functions of the Arabidopsis cytokinin receptor family. Proc Natl Acad Sci U S A. 2004;101(23):8821–6.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Nishimura C, Ohashi Y, Sato S, Kato T, Tabata S, Ueguchi C. Histidine kinase homologs that act as cytokinin receptors possess overlapping functions in the regulation of shoot and root growth in Arabidopsis. Plant Cell. 2004;16(6):1365–77.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  38. Riefler M, Novak O, Strnad M, Schmülling T. Arabidopsis cytokinin receptor mutants reveal functions in shoot growth, leaf senescence, seed size, germination, root development, and cytokinin metabolism. Plant Cell. 2006;18(1):40–54.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  39. Jeon J, Kim NY, Kim S, Kang NY, Novák O, Ku SJ, Cho C, Lee DJ, Lee EJ, Strnad M, et al. A subset of cytokinin two-component signaling system plays a role in cold temperature stress response in Arabidopsis. J Biol Chem. 2010;285(30):23371–86.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  40. Kang NY, Cho C, Kim NY, Kim J. Cytokinin receptor-dependent and receptor-independent pathways in the dehydration response of Arabidopsis thaliana. J Plant Physiol. 2012;169(14):1382–91.

    Article  CAS  PubMed  Google Scholar 

  41. Le DT, Nishiyama R, Watanabe Y, Vankova R, Tanaka M, Seki M, le Ham H, Yamaguchi-Shinozaki K, Shinozaki K, Tran LS. Identification and expression analysis of cytokinin metabolic genes in soybean under normal and drought conditions in relation to cytokinin levels. PloS One. 2012;7(8):e42411.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  42. Colcombet J, Hirt H. Arabidopsis MAPKs: a complex signalling network involved in multiple biological processes. Biochem J. 2008;413(2):217–26.

    Article  CAS  PubMed  Google Scholar 

  43. Zhang S, Klessig DF. MAPK cascades in plant defense signaling. Trends Plant Sci. 2001;6(11):520–7.

    Article  CAS  PubMed  Google Scholar 

  44. Zhang JB, Wang XP, Wang YC, Chen YH, Luo JW, Li DD, Li XB. Genome-wide identification and functional characterization of cotton (Gossypium hirsutum) MAPKKK gene family in response to drought stress. BMC Plant Biol. 2020;20(1):217.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  45. Zhang J, Zou D, Li Y, Sun X, Wang NN, Gong SY, Zheng Y, Li XB. GhMPK17, a cotton mitogen-activated protein kinase, is involved in plant response to high salinity and osmotic stresses and ABA signaling. PloS one. 2014;9(4):e95642.

    Article  PubMed Central  PubMed  Google Scholar 

  46. Na YJ, Choi HK, Park MY, Choi SW, Xuan Vo KT, Jeon JS, Kim SY. OsMAPKKK63 is involved in salt stress response and seed dormancy control. Plant Signal Behav. 2019;14(3):e1578633.

    Article  PubMed Central  PubMed  Google Scholar 

  47. Ma H, Chen J, Zhang Z, Ma L, Yang Z, Zhang Q, Li X, Xiao J, Wang S. MAPK kinase 10.2 promotes disease resistance and drought tolerance by activating different MAPKs in rice. Plant J. 2017;92(4):557–70.

    Article  CAS  PubMed  Google Scholar 

  48. Furuya T, Matsuoka D, Nanmori T. Membrane rigidification functions upstream of the MEKK1-MKK2-MPK4 cascade during cold acclimation in Arabidopsis thaliana. FEBS Lett. 2014;588(11):2025–30.

    Article  CAS  PubMed  Google Scholar 

  49. Kong Q, Qu N, Gao M, Zhang Z, Ding X, Yang F, Li Y, Dong OX, Chen S, Li X, et al. The MEKK1-MKK1/MKK2-MPK4 kinase cascade negatively regulates immunity mediated by a mitogen-activated protein kinase kinase kinase in Arabidopsis. Plant Cell. 2012;24(5):2225–36.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  50. Shi J, Zhang L, An H, Wu C, Guo X. GhMPK16, a novel stress-responsive group D MAPK gene from cotton, is involved in disease resistance and drought sensitivity. BMC Mol Biol. 2011;12:22.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  51. Miller G, Suzuki N, Ciftci-Yilmaz S, Mittler R. Reactive oxygen species homeostasis and signalling during drought and salinity stresses. Plant Cell Environ. 2010;33(4):453–67.

    Article  CAS  PubMed  Google Scholar 

  52. Kakimoto T. Perception and signal transduction of cytokinins. Annu Rev Plant Biol. 2003;54:605–27.

    Article  CAS  PubMed  Google Scholar 

  53. To JPC, Kieber JJ. Cytokinin signaling: two-components and more. Trends Plant Sci. 2008;13(2):85–92.

    Article  CAS  PubMed  Google Scholar 

  54. Hwang I, Sheen J. Two-component circuitry in Arabidopsis cytokinin signal transduction. Nature. 2001;413(6854):383–9.

    Article  CAS  PubMed  Google Scholar 

  55. Sun L, Zhang Q, Wu J, Zhang L, Jiao X, Zhang S, Zhang Z, Sun D, Lu T, Sun Y. Two rice authentic histidine phosphotransfer proteins, OsAHP1 and OsAHP2, mediate cytokinin signaling and stress responses in rice. Plant Physiol. 2014;165(1):335–45.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  56. Du X, Huang G, He S, Yang Z, Sun G, Ma X, Li N, Zhang X, Sun J, Liu M, 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.

    Article  CAS  PubMed  Google Scholar 

  57. Paterson AH, Wendel JF, Gundlach H, Guo H, Jenkins J, Jin D, Llewellyn D, Showmaker KC, Shu S, Udall J, et al. Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres. Nature. 2012;492(7429):423–7.

    Article  CAS  PubMed  Google Scholar 

  58. Liu X, Zhao B, Zheng HJ, Hu Y, Lu G, Yang CQ, Chen JD, Chen JJ, Chen DY, Zhang L, et al. Gossypium barbadense genome sequence provides insight into the evolution of extra-long staple fiber and specialized metabolites. Sci Rep. 2015;5:14139.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  59. Zhu T, Liang C, Meng Z, Sun G, Meng Z, Guo S, Zhang R. CottonFGD: an integrated functional genomics database for cotton. BMC Plant Biol. 2017;17(1):101.

    Article  PubMed Central  PubMed  Google Scholar 

  60. Wang J, Zhang Y, Xu N, Zhang H, Fan Y, Rui C, Han M, Malik WA, Wang Q, Sun L, et al. Genome-wide identification of CK gene family suggests functional expression pattern against Cd(2+) stress in Gossypium hirsutum L. Int J Biol Macromol. 2021;188:272–82.

    Article  CAS  PubMed  Google Scholar 

  61. Yu CS, Lin CJ, Hwang JK. Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions. Protein Sci. 2004;13(5):1402–6.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  62. Crooks GE, Hon G, Chandonia JM, Brenner SE. WebLogo: a sequence logo generator. Genome Res. 2004;14(6):1188–90.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  63. 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.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  64. Bailey TL, Boden M, Buske FA, Frith M, Grant CE, Clementi L, Ren J, Li WW, Noble WS. MEME SUITE: tools for motif discovery and searching. Nucleic Acids Res. 2009;37(Web Server issue):W202-208.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  65. Guo AY, Zhu QH, Chen X, Luo JC. GSDS: a gene structure display server. Yi Chuan. 2007;29(8):1023–6.

    Article  CAS  PubMed  Google Scholar 

  66. Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, Xia R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol Plant. 2020;13(8):1194–202.

    Article  CAS  PubMed  Google Scholar 

  67. Yu J, Jung S, Cheng C-H, Ficklin SP, Lee T, Zheng P, Jones D, Percy RG, Main D. CottonGen: a genomics, genetics and breeding database for cotton research. Nucleic Acids Res. 2014;42(D1):D1229–36.

    Article  CAS  PubMed  Google Scholar 

  68. Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 2008;3(6):1101–8.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We are thankful to Jing Wang and Yuexin Zhang for valuable assistance in bioinformatics analysis. We are very grateful to the editors and reviewers for their critical evaluation of the manuscript and for providing constructive comments on its improvements.

Funding

This work was supported by the China Agriculture Research System of MOF and MARA.

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Authors and Affiliations

Authors

Contributions

Wuwei Ye, Lanjie Zhao: conceived and designed the experiments. Lanjie Zhao: writing original draft, methodology, Writing-review & editing. Liangqin Sun: Writing-review & editing. Liangqing Sun and Lixue Guo: Methodology. Xuke Lu and Xiugui Chen: review & editing. Waqar Afzal Malik edit improves the manuscript. Denglong Wang: Bioinformatic analysis. Junjuan Wang and Shuai Wang: Methodology. Wuwei Ye and Taili Nie: Concept of study, Supervision and revised the manuscript. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Taili Nie or Wuwei Ye.

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Supplementary Information

Additional file 1: Table

S1. The primers used for qRT-PCR in this study. Table S2. Information of HP genes in this study. Table S3. The biophysical properties of cotton HP genes in this study. Table S4. Collinearity analyses of HP gene family in cotton species. Table S5. Analysis of GhHPs cis-acting elements. Table S6. RNA-seq data analysis of GhHPs expression profiling in different tissues. Table S7. RNA-seq data analysis of GhHPs expression profiling in different stresses.

Additional file 2:

Fig. S1. Comparison of the gene structure and domains in HP genes on the G. hirsutum and Arabidopsis. Fig. S2. Comparison of the gene structure and domains in HP genes on the G. barbadense and Arabidopsis. Fig. S3. Comparison of the gene structure and domains in HP genes on the G. arboreum and Arabidopsis. Fig. S4. Comparison of the gene structure and domains in HP genes on the G. raimondii and Arabidopsis. Fig. S5. Chromosomal localization of 103 HP genes in four cotton species.

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Zhao, L., Sun, L., Guo, L. et al. Systematic analysis of Histidine photosphoto transfer gene family in cotton and functional characterization in response to salt and around tolerance. BMC Plant Biol 22, 548 (2022). https://doi.org/10.1186/s12870-022-03947-5

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