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Journal of Genetic Engineering and Biotechnology
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Genome-wide investigation of SnRK2 gene family in two jute species: Corchorus olitorius and Corchorus capsularis

Journal of Genetic Engineering and Biotechnology volume 21, Article number: 5 (2023) Cite this article

Abstract

Background

Sucrose non-fermenting-1 (SNF1)-related protein kinase 2 (SnRK2), a plant-specific serine/threonine kinase family, is associated with metabolic responses, including abscisic acid signaling under biotic and abiotic stresses. So far, no information on a genome-wide investigation and stress-mediated expression profiling of jute SnRK2 is available. Recent whole-genome sequencing of two Corchorus species prompted to identify and characterize this SnRK2 gene family.

Result

We identified seven SnRK2 genes of each of Corchorus olitorius (Co) and C. capsularis (Cc) genomes, with similar physico-molecular properties and sub-group patterns of other models and related crops. In both species, the SnRK2 gene family showed an evolutionarily distinct trend. Highly variable C-terminal and conserved N-terminal regions were observed. Co- and CcSnRK2.3, Co- and CcSnRk2.5, Co- and CcSnRk2.7, and Co- and CcSnRK2.8 were upregulated in response to drought and salinity stresses. In waterlogging conditions, Co- and CcSnRk2.6 and Co- and CcSnRK2.8 showed higher activity when exposed to hypoxic conditions. Expression analysis in different plant parts showed that SnRK2.5 in both Corchorus species is highly expressed in fiber cells providing evidence of the role of fiber formation.

Conclusion

This is the first comprehensive study of SnRK2 genes in both Corchorus species. All seven genes identified in this study showed an almost similar pattern of gene structures and molecular properties. Gene expression patterns of these genes varied depending on the plant parts and in response to abiotic stresses.

Background

Sucrose non-fermenting 1 (SNF1)-related kinase (SnRKs) is a type of protein kinase, which is involved in stress tolerance signaling pathways in plants. SnRKs are categorized as SnRK1, SnRK2, and SnRK3 based on their domain structure, sequence homology, and their roles in cellular functions [1]. SnRK2s, which are members of adenosine monophosphate (AMP)-activated protein kinase (AMPK), are only found only in plants. They play critical roles in response to abiotic stresses and are involved in abscisic acid (ABA)-mediated signaling pathways [2,3,4]. However, some SnRK2s regulate seed germination, seedling growth, maturation, flowering time, seed dormancy, and stomatal movement during drought conditions [5,6,7,8]. Therefore, these proteins are critical growth and development of plants.

SnRK2s have SNF1/AMP kinases like conserved N-terminal catalytic domains that are essential for kinase activity. The C-terminal domain of this protein contains stretches of acidic amino acids, either glutamic acid (group I), or aspartic acid (groups II and III) [9]. Two subdomains, domain I and domain II, constitute the C-terminal domain. Domain I is present in all SnRK2 family members and is located 20 amino acids away from the catalytic domain. Domain II is required for ABA response and is exclusive to group III [10,11,12]. In general, ABA substantially activates SnRK2 group III members, slightly induces group II members, and moderately stimulates group I [10,11,12,13,14]. SnRK2’s ability to physically engage with type 2C protein phosphatase (PP2Cs), an important component of the ABA signaling pathway, relies on its adaptable and changeable C-terminal domain [3, 5, 9, 15].

The function of SnRK2s in stress signaling pathways has been studied on a range of horticultural and industrial crops, including rice [14], maize [12], sorghum [16], apple [17], pakchoi [18], grape [19], rubber [20], sugarcane [21] pepper [22], sugar beet [23], and cotton [24]. Investigations on Arabidopsis thaliana identified that all the AtSnRK2s except AtSnRK2.9 are stimulated by different osmolytes, indicating their general response to osmotic stress [1, 10, 25]. Among these, AtSnRK2.2/2.3/2.6 play a critical role in the ABA signal transduction network in response to environmental stresses [3, 11]. All of the SnRK2s in Oryza sativa (named OsSAPK1-OsSAPK10) are activated by hyperosmotic stress, and three of them (OsSAPK8/9/10) are activated by ABA [13]. OsSAPK4 has been reported to control genes involved in oxidative stress response functioning and ion homoeostasis [26]. Increased expression of AtSnRK2.8 and OsSAPK4 in transgenic plants resulted in a significant improvement in tolerance to salt and drought stress [26, 27]. Overexpression of AtSnRK2.6 significantly boosted the levels of carbon and energy demanding physiological activities in Arabidopsis leaves, such as fatty acid and sucrose metabolism [28]. Furthermore, genes from the wheat SnRK2 subfamily, such as TaSnRK2.4, TaSnRK2.7, and TaSnRK2.8, were used to promote tolerance to multi-abiotic stressors in Arabidopsis by upregulating their expression [29,30,31]. Overexpression of sugarcane SoSnRK2.1 was found to improve drought tolerance in tobacco [32]. All of these evidences of the SnRK2 gene family’s participation in response to multiple environmental stresses clearly demonstrated that this family can possibly be employed for crop genetic improvement, particularly for abiotic stress tolerance [33, 34].

Jute (Corchorus sp.) is a major source of natural fiber, accounting for 80% of global bast fiber production [35]. Despite the fact that the Malvaceae family contains over 100 species, there are only two commercially grown Corchorus species, C. olitorius and C. capsularis. Jute is basically self-pollinated and has 14 diploid chromosomes (2n = 14). The genome sizes of C. olitorius and C. capsulris are 445.05 Mb and 338.13 Mb, respectively [36]. Since 2017, several transcriptomic data have been generated by multiple projects in Bangladesh and China [36,37,38,39]. These data sets created an opportunity for comparative genomic studies to identify and characterize key gene families for future genetic improvement of this crop.

Jute is particularly susceptible to abiotic stress. Due to climate change, temperature and rainfall have been fluctuating in recent years, and as a result, jute production has decreased [40]. In addition, salt stress created a deleterious impact on jute development and physiological characteristics, resulting in worse yield quantity and quality [41]. Drought diminishes fiber yield by 20 to 30% and lowers fiber quality [42, 43]. Waterlogging stress is a problem for jute, especially at the seedling stage [44, 45]. Other stresses, including toxic metals, extreme temperatures, and too much light, are also detrimental to jute development and production [46, 47]. As the SnRK2 family of genes plays an important role in abiotic stress resistance [2, 10, 17], jute is a cash crop, in order to secure their food farmers’ fertile arable land for food crop production, and jute is pushed into marginal or stressed-prone areas. The SnRK2 gene plays an important role against abiotic stress, such as salt, drought, and waterlogging. In jute, CDPK [48] and FLA [49] gene families were well studied, but there is a lack of information regarding SnRK2. Identification and characterization of the SnRK2 gene family in both jute species (C. olitorius and C. capsularis) might help in downstream research for the desired improvement of this biodegradable fiber. In this study, we conducted a comparative genomic study of both jute species to explore gene structures and functions, phylogenetic relationships, and expression patterns against salt stress. Findings from this study provide an essential understanding of SnRK2 genes in jute and constitute a foundation for further investigation to use them in genetic improvement program.

Methods

Genomic data mining and SnRK2 gene identification

To identify the SnRK2 protein sequences in C. capsularis and C. olitorius, reference proteins of well-established SnRK2 protein sequences were chosen as query sequences. The validated reference proteins of Arabidopsis are downloaded from TAIR database (http://www.arabidopsis.org); Theobroma cacao and Gossypium raimondii from phytozome (http://phytozome.jgi.doe.gov/) and both Corchorus sp. Genome sequence from the Basic and Applied Research on Jute Project (www.jutegenome.org) [36]. The downloaded sequences were used as a query to perform BLAST [48] with the jute genome database and identified the putative homolog in the jute species. A cutoff e value of e−10 was used for the identification of the candidate SnRK2 genes. The amino acid sequence of candidate genes was analyzed to examine the presence of the characteristic serine/threonine protein kinases domain (PF00069) using Pfam (http://pfam.xfam.org/) [49]. All output genes were manually checked, and the predicted genes lacking serine/threonine protein kinases domains were rejected.

Nomenclature and classification

The nomenclature of the identified jute SnRK2 was applied following the nomenclature guidelines for SnRK2 [21]; genes were grouped based on the phylogenetic tree and homology to AtSnRK2 [50, 51] (Table 1). Here, Co and Cc prefixes were used for C. olitorius and C. capsularis, respectively. Orthologs of phylogenetically related SnRK2 genes of the same clade with the model plant Arabidopsis, and each pair of paralogous genes with a high percentage of similarity in the amino acid sequence was used for classification and nomenclature [10].

Table 1 Chromosomal locations of validated CoSnRK2 and CcSnRK2 genes
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To classify the jute SnRK2 gene family, phylogenetic analysis of both Corchorus genome and Arabidopsis thaliana was conducted using MUSCLE (https://www.ebi.ac.uk/Tools/msa/muscle/) [52] with the default settings. The bootstrap consensus phylogenetic tree, inferred from 1000 replicates, was constructed using the maximum likelihood (ML) [53] method in MEGA7 [54]. The naming of CoSnRK2 and CcSnRK2s genes were assigned according to the phylogenetic tree showing orthology with Arabidopsis along with their reciprocal BLASTP identity.

Chromosomal location and gene structure analysis

The physical location of CoSnRK2 and CcSnRK2 genes on each Corchorus species chromosome/scaffold was detected using BLASTNT search against the local database of both jute genomes. The locations of the genes on the chromosome or the scaffold were indicated based on the starting position of all CoSnRK2 and CcSnRK2 genes. Scaffolds of the assembled sequences were used to locate tandem duplications as the chromosome-scale assembly is unavailable for both jute species.

Clustal Omega was utilized for multiple sequence alignment (https://www.ebi.ac.uk/Tools/msa/clustalo/) [55], which was visualized with ESPript (http://espript.ibcp.fr/ESPript/ESPript/) [56]. The protein module, based on AtSnRK2.3 (PDB ID: 3UJG), was depicted and edited using SWISS-MODEL (http://swissmodel.expasy.org/) and Swiss-Pdb Viewer (http://spdbv.vital-it.ch/TheMolecularLevel/SPVTut/), respectively.

In silico approaches were performed to obtain the genomic sequences of the identified SnRK2 genes. A web application named Gene Structure Display Server using GSDS (http://gsds.cbi.pku.edu.cn/) [57] was accessed to determine the structure diagrams of the exon and intron of SnRK2 genes. Genome-wide molecular evolution study of the SnRK2 gene family was done by Multiple Expectation Maximization for motif Elicitation (MEME) utility program using the MEME online server (http://meme.sdsc.edu/meme/meme.html) [58].

Characterization of SnRK2 gene family in jute

Assessment of the physical and chemical properties of the SnRK2 gene family proteins was performed by ProtParam online (http://expasy.org/tools/protparam.html) [59] to characterize for related indexes, including theoretical isoelectric point (pI), molecular weight, formula, aliphatic index, instability index, and grand average of hydropathicity (GRAVY). In order to predict the subcellular localization of CoSnRK and CcSnRK2s, Plant-mPloc server (http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/) [60] was used. Secondary structures were predicted with the online SOPMA server (https://npsa-prabi.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_sopma.html). Tertiary protein structures were predicted with the Phyre2 server (http://www.sbg.bio.ic.ac.uk/~phyre2/html/page.cgi?id = index). Disordered regions were predicted with the PONDR server (http://www.pondr.com/). The BetaCavityWeb server (http://voronoi.hanyang.ac.kr/betacavityweb) was used to search and analyze the channel structure. Web Procheck (https://saves.mbi.ucla.edu/) was used to predict Ramachandan plot structures.

GO analysis of identified SnRK2 genes

Amino acid sequences are used as the input of Blast2GO program [61] with default parameters to conduct Gene Ontology (GO) annotation of CoSnRK2s and CcSnRK2s for describing the biological processes, cellular components, and molecular functions. Blast2GO utilized the output files of InterProScan and BLASTP to annotate GO categories and generate respective figures.

Promoter analysis of identified SnRK2 genes

To identify putative cis-acting regulatory elements in the promoter sequences of the identified SnRK2 family genes, 1Kbp upstream intergenic region from the initiation codon (ATG) of the predicted transcription sites was extracted from jute genome data (www.jutegenome.org). The PlantCARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) [62] and PLACE (http://www.dna.affrc.go.jp/PLACE/) [63] databases were used to confirm the putative cis-elements in the promoters.

Expression analysis

Sequence Read Archive (SRA) (https://www.ncbi.nlm.nih.gov/sra) was used to download publicly available transcriptome data, which were further analyzed to check the expression pattern of CcSnRK2 and CoSnRK2 genes in different tissue as well as under waterlogging, drought and salinity stress conditions. The accession numbers and sample data that were used in this study are listed in Table S1. The available transcriptome data of Yueyuan No.5 (YY) (C. capsularis) [39] and TC (C. olitorius) [38] which are two salt-tolerant varieties and accession NY/253C (NY) (C. olitorius) [38] which is sensitive to salinity were explored to reveal the gene expression pattern of leaf and root sample at 9 leaf stage with and 250-mM NaCl for salinity stress. On the other hand, the transcriptome data of drought-sensitive C. capsularis (Yueyuan No.5, YY) [37] and drought-tolerant C. olitorius (Gangfengchangguo, GF) [37] were treated with Polyethylene Glycol (PEG) at 9 leaf stage for performing drought stress study. Waterlogging stress data were generated through concurrent bioprojects, PRJNA215141 and PRJNA215142 (Table S1), which were previously generated by our group. Genes associated with fiber development and their expression pattern were explored using the transcriptomic data of seedlings and fiber cells of two jute species (C. olitorius var. O4; C. capsularis var. CVL-1) (Accession id: SRX2369402, SRX2369404, SRX2369401, SRX2369403) [36].

FastQC v.0.11.9 (Andrews S 2010) was used to check the quality parameters of all the transcriptome sequencing data generated with the Illumina sequencing platform. Low-quality reads found in the raw data were trimmed using Trimmomatic v.0.36 [64]. Mapping of the high-quality clean RNA-Seq reads to both Corchorus species was done by TopHat2 (version 2.1.0, Baltimore, MD, USA) with the default parameters [65]. Then, Cufflinks2 v.2.1.1 suite [66] utilized the mapped reads to generate transcriptome assembly and perform differential expression analysis. The p values for differentially expressed genes (DGE) were calculated byCuffdiff2 based on the normalized fragments per kilobase of exon per million fragments mapped (FPKM) values. The heatmap function of R package (version 3.2.2; available online: https://cran.r-project.org/web/packages/pheatmap/) was exploited to generate clustered heatmap of Z-scaled FPKM values of CoSnRK2s and CcSnRK2s.

Results

Identification of SnRK2 genes with their physico-molecular properties

A total of seven candidate SnRK2 family proteins having complete serine/threonine protein kinase catalytic domains have been detected in both Corchorus species genome (Table 1). The information on gene names, gene ID, protein length, molecular weights (MW), isoelectric points (pI) GRAVY, instability index, and subcellular locations were listed in Table 2. The predicted length of 7 CoSnRK2 and 7 CcSnRK2 proteins ranged from 313 to 364 aa and 314 to 364 aa, correspondingly to the molecular weight ranges from 35.76 to 41.26 kDa and 35.87 to 41.26 KDa (Table 2). The predicted isoelectric point (pI) of all SnRK2 proteins (less than 7) attested that SnRK2 proteins were rich in acidic amino acids resembling all other plant species. The GRAVY score of all SnRK2 proteins was found to be negative possessing their hydrophilic nature (Table 2). Prediction of a subcellular location indicated that all SnRK2 proteins localized in the nucleus (Table 2).

Table 2 Details of SnRK2 genes identified from the genome-wide search analysis. The table shows the following details: putative SnRK2 gene name, protein length (number of amino acids), isoelectric point (pI), molecular formula, Aliphatic index, Instability index, GRAVY, predicted molecular mass, and subcellular localization in Corchorus olitorius (a) and Corchorus capsularis (b)
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Sequence alignment, phylogenetic analysis, and naming of SnRK2s

The homology search by multiple sequence alignment of CoSnRK2 and CcSnRK2 proteins depicted the information of conserved motifs and domains having the conserved pattern of amino acid residues in Fig. 1. Sequence alignment indicated that CoSnRK2 and CcSnRK2 have the potential for serine/threonine and tyrosine kinase activities. It was observed that the CoSnRK2 and CcSnRK2s have highly conserved N-terminal catalytic domains and divergent C-terminal regulatory domains containing acidic amino acid-rich regions. All the SnRK2 proteins have two conserved signatures in their N-terminal regions- an ATP-binding loop having the amino acid pattern I/LGXGXFGVA and an ATP-binding site with a lysine residue (purple underline) (Fig. 1). The serine/threonine protein kinase active-site signature V/ICHRDLKLENTLL with an aspartic acid residue (the active site ↑) in all SnRK2s except CoSnRK2.7 and CcSnRK2.7. The aspartic acid, serine (represent for proton acceptor active site), and phosphorine (brown underline) were highly conserved in all SnRK2s. The C-terminal domain consisted of two subdomains. Domain I which contained SnRK2-specific box from Gln-303 to Pro-318 was required for activation by osmotic stress and belonged to all the members of SnRK2s while on the contrary, and domain II was present only in both species SnRK2.7 and 2.8 (olive box). Secondary structure prediction revealed that CoSnRK2 and CcSnRK2 formed eleven α-helixes and eight β-plated sheets.

Fig. 1
figure 1

Structure-based alignment of the amino acid sequence of CoSnRK2 and CcSnRK2 with AtSnRK2.3, AtSnRK2.4, AtSnRK2.5, and AtSnRK2.6. Red background shows sequence identity and red letters show sequence similarity in the alignment. Secondary structure elements and ATP-binding loop, ATP-binding site, serine/threonine protein kinase loop, activation loop of phosphoesterine, SnRK2 box, and ABA box are indicated

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To investigate the evolutionary relationship of SnRK2 among Arabidopsis thaliana, Corchorus capsularis and Corchorus olitorius, a phylogenetic tree was constructed using protein sequence of AtSnRK2s, CcSnRK2s, and CoSnRK2s (Additional file 1 and Fig. 2). Like SnKR2 in Arabidopsis, CoSnRK2 and CcSnRK2 proteins were clustered into three distinct subgroups, namely Groups 1–3 as shown in Fig. 2. In each group, the CoSnRK2 and CcSnRK2 have two or more orthologous members in AtSnRK2s. Group 1 including AtSnRK2.2, AtSnRK2.3, and AtSnRK2.6 have been reported to be activated by ABA and involved in ABA signal transduction [67]. AtSnRK2.8 falling in group 2 was found to improve the drought tolerance [27] of transgenic Arabidopsis and to participate in the metabolic process [68]. In Corchorus olitorius CoSnRK2.3, CoSnRK2.6 and Corchorus capsularis CcSnRK2.3, CcSnRK2.6 belonged to group 1. Group 2 comprised SnRK2.7 and 2.8 in both jute species. There were 3 members of each jute species namely SnRK2.4a, SnRK2.4b, and SnRK2.5 in group 3 (Fig. 2). Similar topological phylogenetic tree was observed in Arabidopsis, Vitis vinifera, Brassica rapa, Oryza sativa, Saccharum officinarum, and Zea mays, but there is another smallest clade (group4) found in Malus domestica [17] and Glycine max [17, 69].

Fig. 2
figure 2

Phylogenetic relationship among the C. olitorius, C. capsularis, and Arabidopsis thaliana SnRK2 genes. The phylogeny was generated by MEGA7 with maximum likelihood (ML) method and 1000 replicates bootstraps, based on the amino acid sequence of 7, 7, and 10 SnRK2 genes from C. olitorius, C. capsularis, and A. thaliana, respectively. The gene name with purple, blue, and dark red represents SnRK2 groups 1, II, and III, respectively

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In accordance to the nomenclature guidelines for SnRK2 [21], the nomenclature of CoSnRK2 and CcSnRK2 was applied according to the phylogenetic tree and homology to AtSnRK2 because it is easy for the readers to distinguish the Arabidopsis homolog. A two-letter prefix derived from the genus and species names of the organisms in which the genes are present, for example At for Arabidopsis thaliana [50, 51] was applied for the nomenclature of SnRK2 genes in both Corchorus species (Table 1). Co and Cc prefixes were used for Corchorus olitorius and Corchorus capsularis, respectively, where orthologs of phylogenetically related SnRK2 genes of the same clade with the model plant Arabidopsis, and each pair of paralogous genes has a high percentage of similarity in amino acid sequence (Table S2) was used for classification and nomenclature [10].

Chromosomal distribution, gene structure, and conserved motif analysis

Seven SnRK2 family genes of each Corchorus species were mapped to the assembled genome of respective species, and genes were found to be distributed on different chromosomes along with scaffolds (Table 1). In C. olitorius, Chr5 contains three genes, Chr1 contains 1 gene, and rest three genes were found in different scaffolds. On the other hand, C. capsularis Chr2 and Chr5 contained two genes each and the rest three genes were observed in three different scaffolds.

Analysis of the exon–intron structure of SnRK2 genes in two Corchorus species provides the evolutionary trajectory of this gene family. We have determined the distribution of the predicted exon–intron structure using coding regions of all SnRK2 genes from two Corchorus species in accordance with the phylogenetic tree (Fig. 3). In contrast to phylogenetic analysis, most members within the same group showed similar intron–exon structure and gene length. This conservation of exon and intron number in each group strongly supports the close evolutionary relationship of CcSnRK2 and CoSnRK2 genes. In addition, SnRK2 genes in both species are different groups and usually vary in intron phase pattern and gene length (Fig. 3).

Fig. 3
figure 3

Exon–intron structure of 14 SnRK2s genes of C. olitorius and C. capsularis according to the phylogenetic tree. A graphic representation of the gene model was identified in this study. Exons are shown as dark blue boxes and introns are shown as brown dot lines

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Huai et al. [12] have reported that most of the SnRK2 from higher plants show a conserved distribution of exon and intron and have nine exons. Here, all the recognizable Corchorus species SnRK2 had eight introns that were different notably in size but had relatively conserved orders and approximate size of exon among them. The gene with nine exons has strictly conserved exon lengths. The length of the second through the eight exons were 75, 102, 54, 93, 93, 105, and 99, respectively (Fig. 3, Table S3). All identified Corchorus spp SnRK2 genes have nine exons except CoSnRK2.4b and 2.7 and CcSnRK2.7 and 2.8. Furthermore, the exon length and intron position of SnRK2 genes between two Corchorus species are remarkably similar. We found that the intron length of SnRK2 in both Corchorus species is generally much longer than exon.

The SOPMA web server was used to analyze secondary structures. The findings demonstrate that beta turns, extended strands, random coils, and -helices were all found in the ranges of 34.68 to 45.31%, 12.79 to 16.77%, 4.08 to 6.65%, and 34–43 to 47.77%, respectively (Table S4). The high quality and reliability of the protein structures were shown by a Ramachandran plot where the percentage of residues in the core, allowed, and generous regions all exceeded 79% (Table S4 and Fig. S1). In both the Co and CcSnRK2 proteins, the predicted channel structures varied from 1 to 8, with an overall percentage of disordered regions ranging from 17.61 to 39.36% (Table S4).

The CoSnRK2 and CcSnRK2s were highly conserved N-terminal kinase domains but divergent C-terminal domains. We employed MEME to detect conserved motifs in the CoSnRK2 and CcSnRK2 family and found fifteen conserved motifs and with their multilevel consensus sequence (Fig. 4). In general, most of the closely related members within the same clade had similar motif composition. All of the CoSnRK2 and CcSnRK2 proteins shared the same six designated motifs—1–3, 5, 7, 10. Motifs 6 and 7 also occurred in all SnRK2 sequences except for CoSnRK2.7, CcSnRK2.7 and CoSnRK2.4a, respectively. In addition, motif 9 in the N-terminal peptide was conserved in both Corchorus species SnRK2.3, SnRK2.6 SnRK2.4a, and CoSnRK2.4b while C-terminal domain region which was rich in aspartate (D) and glutamine (E) acidic patch, [70] was conserved in all SnRK2s (Fig. 1).

Fig. 4
figure 4

Motif analysis of jute SnRK2s according to the phylogenetic tree. All motifs were identified by the MEME database with complete amino acid sequences of CoSnRK2s and CcSnRK2s. The length of the motif for each SnRK2s protein is displayed proportionately

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Gene ontology annotation and putative cis-element analysis of SnRK2 genes in jute

The Gene Ontology (GO) analysis was performed for specifying cellular location, molecular function, and diverse biological process participation of all the CoSnRK and CcSnRK2 proteins according to the GO database (Fig. 5 and Table S5). The analysis of biological processes revealed that the proteins were significantly associated with phosphorylation (GO:0,006,468), response to salt stress (GO:0,009,651), sucrose metabolic process (GO:0,005,985), response to water deprivation (GO:0,009,414), and other 12 different molecular functions (Fig. 5a and Table S5). The result also indicated that CoSnRK and CcSnRK2s are mainly localized in the nucleus (GO:0,005,634), along with in cytosol (GO:0,005,829) (Fig. 5b and Table S5). The molecular function clearly showed ATP binding (GO:0,005,524) and protein serine/threonine kinase activity (GO:0,004,674) were the main activities along with slightly protein phosphatase binding (GO:0,019,903), identical protein binding (GO:0,042,802) (Fig. 5c and Table S5). In conclusion, functional analysis of CoSnRK and CcSnRK2s suggested their involvement in diverse mechanisms with ATP binding and kinase activity initiated from the nuclear region.

Fig. 5
figure 5

Gene ontology of CoSnRK2 and CcSnRK2 proteins biological process (a). Cellular components (b). Molecular function (c)

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Promoter analysis of SnRK2 genes in both jute species

Cis-regulatory elements not only control gene expression but also provide an initial trigger for the functional dissection of transcriptional sites in the upstream regions. To investigate the possible roles of SnRK2s identified in both jute genomes, corresponding promoter regions (1 kb in length upstream region from the initiation codon ATG) of the CoSnRK2 and CcSnRK2s genes were subjected to cis-element analysis by PlantCare and PLACE database (Fig. 6, Tables S6 and S7). Using the PlantCare database, we identified a total of 67 cis-element (three unnamed) in the promoter regions of SnRK2 genes (Table S6). The identified cis-elements were divided into eight major groups, such as hormonal/environment responsive (ARE, AuxRR core, ABRE, CGTCA motif, TCA, WUN motif, etc.), light responsive (GT1 motif, GATA motif, G-box, GATA motif, Box 4, etc.), site-binding-related element (Myb, MBS, CCAAT-box, MRE, AT-rich element, etc.), and promoter core functional element (TATA-box, TATA, CAAT-box) (Fig. 6, Table S6). The core promoter TATA-box and CAAT box had a greater number of promoter functions followed by unknown functions and site binding-related elements. The well-known stress–response element (STRE, AAGGGG) and ABA responsible element (ABRE, C/TACGTGGC) were observed in almost all the CoSnRK2s and CcSnRK2s showing their response against multiple stress, including cold, drought, and salt [71, 72]. CGTCA-motif and the TGACG-motif were involved in Methylejasmonate (MeJA) production in response to several environmental stresses. MeJA was found to be expressed in multiple physiological processes, including plant growth and development, abscission, maturity, and secondary metabolism [73,74,75,76,77].

Fig. 6
figure 6

Promoter analysis of CoSnRK2 and CcSnRK2 genes. The numbers of different cis-elements were presented in the form of bar graphs; Different cis-elements with the same or similar functions are shown in the same color

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On the other hand, a total of 188 cis-element found in the CoSnRK2s and CcSnRK2s using the PLACE database. Among them, around 40 elements were almost found in all the SnRK2s (Table S7). The most abundant core promoter elements (CRE) in all SnRK2 genes promoter was DOFCOREZM, which are specific DNA-binding proteins associated with the expression of multiple genes in plants. Besides this, a number of cis-elements were rich in both jute species, such as ABRELATERD1, ACGTATERD1, CCAATBOX1, GT1GMSCAM4, MYB1AT, and MYB2CONSENSUSAT elements related to abiotic stress, ABRERATCAL acted as Ca2+ responsive, -10PEHVPSBD, IBOX, IBOXCORE, IBOXCORENT, SORLIP1AT, BOXIIPCCHS involved in light and circadian rhythms regulation, ARR1AT, ABREOSRAB21, ACGTABREMOTIFA2OSEM, ASF1MOTIFCAMV related to phytohormone and GT1GMSCAM4, WBOXNTERF3 identified as pathogen-related.

Expression profiles of the SnRK2 genes under abiotic stress

Gene expression profile provides an important clue to delineate gene functionality. The members of the SnRK2 gene family play important role in response to various environmental stresses such as higher osmotic stress, high salinity, and drought condition. In case of jute seedling and fiber, transcriptome data revealed that all the SnRK2 genes are expressed in both transcriptomes but SnRK2.7 SnRK2.8 and SnRK2.3 in both species showed higher expression in fiber than seedling (Fig. 7a; Table S8a). In case of waterlogging stress, most of the SnRK2 genes in both species showed higher expression over the stress period and then finally decline their expression to avoid energy losses for survival smoothly (Fig. 7b, Table S8b). But SnRK2.3, 2.8 showed higher expression over time of waterlogging. The expression pattern of CcSnRK2.4b showed higher expression, whereas in CoSnRK2.4b, the expression is decreased over time. On the other hand, abiotic stress (salinity and drought) transcriptome data showed that SnRK2.3, SnRK2.7, and SnRK2.8 in both jute species are upregulated under drought conditions in both species (Fig. 7c, d and Table S8c-d). In case of salinity-stressed transcriptome data, the SnRK2.3 and 2.5 showed higher expression in both jute species in both root and leaf data. On the other hand, SnRK2.7 and SnRK2.8 in both species showed upregulation in the root system and downregulation in the leaf. In addition, salinity-stressed transcriptome showed a high expression of the SnRK2.4b in the leaf but a lower expression in the root.

Fig. 7
figure 7

Expression profiling of CoSnRK2 and CcSnRK2 genes in six different tissues and against waterlogged stress, salt stress, and drought stress. The log2-transformed FPKM (fragments per kilobase of exon model per million mapped reads) added by a pseudo-count of 1 value was used for heat map construction

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Discussion

The SnRK2 is composed of plant-specific small proteins, which play active roles in response to environmental stress specially salinity and drought [5,6,7, 9, 78]. This protein kinase family has been identified in many plant species, whereas little is known in Corchorus species. In this study, we identified, characterized, and observed the expression of SnRK2 genes in different plant parts, and under waterlogging, salinity, and drought stresses through a comprehensive genome-wide investigation on two Corchorus species. Results from this study provided valuable information for future genetic improvement of this fiber crop for adverse environmental conditions, developing new cultivars with improved fiber quality, and productivity will contribute to further industry expansion.

Identification and characterization of SnRK2 genes in both Corchorus species

Our genome-wide analysis revealed 7 putative complete SnRK2 sequences in both Corchorus species. However, the number of identified SnRK2 genes varies depending on plant species. The number of SnRK2 genes in jute is almost one third of that of another fiber crop, Gossypium hirsutum, and slightly lower than in Vitis venifera (8 SnRK2) as well as in some diploid plant species (10 SnRK2), namely—Arabidopsis thaliana, Saccharum officinarum, Oryza sativa, Hevea brasiliensis, and Sorghum bicolor, higher than in Carica papaya (6 SnRK2), Beta vulgaris (6 SnRK2), and Nicotiana tabacum (3 SnRK2) (Table S9). This variation in the number of SnRk2 genes could be due to the whole genome duplication events after the separation of plant lineage [79]. The predicted isoelectric point (pI) indicated that CoSnRK2 and CcSnRK2 proteins were rich in acidic amino acids and hydrophilic in nature and localized in the nucleus.

Evolutionary relationships

Phylogenetic analysis and sequence alignment provide information on the evolutionary relationship of proteins of a gene family. To investigate the evolutionary relationship of SnRK2 among Arabidopsis thaliana, C. capsularis, and C. olitorius, a phylogenetic tree was constructed using a protein sequence of AtSnRK2s, CcSnRK2s, and CoSnRK2s. Like SnKR2 in Arabidopsis, CoSnRK2 and CcSnRK2 proteins were clustered into three distinct subgroups (Fig. 2), each containing two or more orthologous members. CoSnRK2 and CcSnRK2 genes of group 1 (CoSnRK2.3, CoSnRK2.6, CcSnRK2.3, and CcSnRK2.6) clustered with AtSnRK2.2, AtSnRK2.3, and AtSnRK2.6, which have been reported to be activated by ABA and involved in ABA signal transduction [67]. Jute SnRK2 in group 2 (SnRK2.7 and 2.8 in both species) showed a strong evolutionary relationship with AtSnRK2.8, which was found to improve drought tolerance [27] and participate in metabolic processes [68]. Three members of each of CoSnRK2 and CcSnRK2 genes (SnRK2.4a, 2.4b, and 2.5) formed group 3 (Fig. 2). Similar topological phylogenetic tree was observed in Arabidopsis [10, 67], Vitis vinifera [19], Brassica rapa [18], Oryza sativa [67], Saccharum officinarum [21], and Zea mays [12], but another smallest clade (group4) was found in Malus domestica [69] and Glycine max [69]. Similarities of these orthologous genes clearly suggested that monocot and dicot divergence happened after the generation of SnRK2 genes.

The homology search by multiple sequence alignment of CoSnRK2 and CcSnRK2 proteins depicted the information of conserved motifs and domains having the conserved pattern of amino acid residues. In plants, SnRK2 contains two typical domains: a highly conserved N-terminal protein kinase and a variable C-terminal domain. Extensive evidence indicated that the C-terminal domain plays role in the functional diversity of SnRK2s [3, 9, 80]. Conserved motif analysis showed an uneven distribution of ten motifs in CcSnRK2s and CoSnRK2s sequences. Among these, motifs 1, 2, 4, and 6 can be found in all members, motifs 5 and 9 were only present in subclasses I, motif 7 was specific to groups II and III, and motifs 3 and 8 were unique to subclass III, suggesting that they might contribute to the functional specificity of corresponding groups. However, further studies are required on the motif-exchange experiment using protein interaction assays. SnRK2s are monomeric plant-specific Ser/Tr protein kinases with a molecular weight of approximately 40 kDa [81]. Group III members namely AtSnRK2.2/2.3/2.6 have been systematically studied in Arabidopsis, and their structural profiles have been well characterized [6, 82]. Based on the amino acid sequence alignment and structural profile of AtSnRK2.3/2.6 and CoSnRK and CcSnRK2s, some of the key segments near the N-terminal have been identified to contribute to basal activities (including ATP-binding loop, ATP-binding site, proton acceptor activate site, activation loop, and phosphoserine site). Furthermore, the α-helix and β-bridge were highly conserved. Sequence segments of the SnRK2 box, ABA box, and functional domains (domain I and domain II) that can be found near the C-terminal, were highly diversified in each sequence, which is in accordance with previous research of the functional diversity of SnRK2s known to be closely related to their C-terminal motifs [3, 9, 80].

The exon–intron organizations of CcSnRK2 and CoSnRK2 genes exhibited high similarity with Arabidopsis thaliana and rice [67]. Though the exon phasing of both jute species SnRK2s was highly conserved, the sizes of their introns varied a lot. All other CoSnRK2 and CcSnRK2 genes contained nine exons, except for CoSnRK2.7 containing seven exons and CcSnRK2.7, CoSnRK2.4b and CcSNRK2.8 containing eight exons. The similar distribution of eight introns and nine exons was also found in other species, such as Arabidopsis thaliana, rice, cotton, and maize, indicating the evolutionary conservation of gene structure of SnRK2s in higher plants [10, 12, 14, 17, 67].

Jute SnRK2 genes are involved in abiotic stress resistance

The role of SnRK2 genes in several stress response has been demonstrated in numerous studies. The biological functions of CoSnRK2 and CcSnRK2s under abiotic stresses are still unknown. The comparative genomic analysis between Arabidopsis and jute provides information for studying and understanding the biological functions of CcSnRK2 and CoSnRK2s. It has been suggested that AtSnRK2.7 and AtSnRK2.8, which are orthologous to SnRK2.7 and SnRK2.8 in both jute species, regulate some drought-responsive genes involving AREB/ABF in Arabidopsis [83]. Furthermore, it has been considered that AtSnRK2.3 and 2.6, orthologous to both Corchorus species SnRK2.3 and 2.6 in both jute species respectively, are master regulators of the ABA signaling network to protect plants against abiotic stresses such as drought and salinity [82].

Gene expression patterns can provide important clues to gene functions, which are believed to be associated with divergence in the promoter region [84]. Cis-acting regulatory elements contained in gene’s promoter regions play key roles in conferring the developmental and environmental regulation of gene expression. In silico sequence analysis showed that the promoter of each gene contained an important putative cis-acting element, such as the ABA-response elements (ABREs) denoting possible ABA-dependent regulation [85], dehydration-responsive elements (MBS DRE/CRT and G/ACCGCC), low-temperature responsive elements (LTRE and CCGAC), heat shock elements (HSEs), and cis-elements necessary for induction of many heat shock-induced genes [86].

Re-analysis of public RNA-Seq datasets, we found that SnRK2 genes exhibited diverse expression patterns against drought and saline conditions [37,38,39]. The transcriptome data showed different and temporally dynamic expression patterns of CoSnRK2, and CcSnRK2 was under salt and drought stress. In case of jute seedling and fiber, transcriptome data revealed that all the SnRK2 genes were expressed in both transcriptome, but SnRK2.7, SnRK2.8, and SnRK2.3 in both species showed higher expression in fiber than seedling indicating a role of fiber development. In waterlogged stress, the expression pattern of most genes decline over the period of time except SnRK2.3 and 2.8 in both species. In Arabidopsis, AtSnRK2.3 also showed its involvement in water stress response mainly in leaves [11]. It is evident that the C. capsularis is tolerated against waterlogging conditions, whereas C. oiltorius is susceptible in water stress [87] and CcSnRK2.4b expression is higher over the period of time but CoSnRK2.4b expression reduce over the period of time. Again, abiotic stress (salinity and drought) transcriptome data revealed that SnRK2.3, SnRK2.7, and SnRK2.8 in both Corchorus species are upregulated in drought conditions. In salinity condition, the SnRK2.3 and 2.5 showed higher expression in jute in both root and leaf suggesting a role in the salinity tolerance. However, SnRK2.7 and SnRK2.8 in both species showed upregulation in the root system and downregulation in the leaf. Moreover, in saline condition, the SnRK2.4b expressed highly in the leaf but a lower expression in the root. In many plant species, such as Arabidopsis, rice, cotton, sugarbeet, and maize, it is evident that SnRK2 proteins function as transcriptional activation in ABA-signaling mechanisms in response to abiotic stresses such as salinity and drought [9]. The expression of CoSnRK2 and CcSnRK2 genes was induced by drought and salinity which may be indicative of their potential roles in stress response and fiber formation.

Conclusion

We carried out a thorough genome-wide analysis of the SnRK2 gene family and identified and characterized seven SnRK2 genes in two jute species: C. capsularis and C. olitorius. Promoter analysis identified 188 cis-regulatory elements from eight major groups, including hormonal-responsive, light responsive, site-binding related, core promoter functional, stress-responsive, and ABA-responsive elements, etc. Relative expression patterns in plant tissue varied with Co- and CcSnRK2.7, Co- and CcSnRK2.8, and Co- and CcSnRK2.3 in both species had higher expression in fiber than seedlings. In response to drought and salinity stresses four genes (Co- and CcSnRK2.3, Co- and CcSnRk2.5, Co- and CcSnRk2.7, and Co- and CcSnRK2.8) were upregulated, whereas two genes (Co- and CcSnRk2.6 and Co- and CcSnRK2.8) were overexpressed in waterlogging condition. This investigation provides a strong platform for future research for the functional analysis of the Co- and CcSnRK2 gene. Additionally, these findings might contribute to the genetic improvement of Corchorus species for the tolerance to abiotic stresses.

Availability of data and materials

All the protein sequences are available in the NCBI database.

Abbreviations

SnRK:

Sucrose non-fermenting related protein kinase

ABA:

Abscisic acid

AMP:

Adenosine monophosphate

AMPKs:

AMP-activated protein kinases

GRAVY:

Grand average of hydropathy

pI:

Iso-electric point

GO:

Gene Ontology

NCBI:

National Center for Biotechnology Information

QC:

Quality check

References

  1. Hrabak EM, Chan CW, Gribskov M, Harper JF, Choi JH, Halford N, Kudla J, Luan S, Nimmo HG, Sussman MR et al (2003) The Arabidopsis CDPK-SnRK superfamily of protein kinases. Plant Physiol 132:666–680

    Article  Google Scholar 

  2. Coello P, Hey SJ, Halford NG (2011) The sucrose non-fermenting-1-related (SnRK) family of protein kinases: potential for manipulation to improve stress tolerance and increase yield. J Exp Bot 62:883–893

    Article  Google Scholar 

  3. Fujita Y, Yoshida T, Yamaguchi-Shinozaki K (2013) Pivotal role of the AREB/ABF-SnRK2 pathway in ABRE-mediated transcription in response to osmotic stress in plants. Physiol Plant 147:15–27

    Article  Google Scholar 

  4. Halford NG, Hey SJ (2009) Snf1-related protein kinases (SnRKs) act within an intricate network that links metabolic and stress signalling in plants. Biochem J 419:247–259

    Article  Google Scholar 

  5. Boneh U, Biton I, Schwartz A, Ben-Ari G (2012) Characterization of the ABA signal transduction pathway in Vitis vinifera. Plant Sci 187:89–96

    Article  Google Scholar 

  6. Nakashima K, Fujita Y, Kanamori N, Katagiri T, Umezawa T, Kidokoro S, Maruyama K, Yoshida T, Ishiyama K, Kobayashi M et al (2009) Three Arabidopsis SnRK2 protein kinases, SRK2D/SnRK2.2, SRK2E/SnRK2.6/OST1 and SRK2I/SnRK2.3, involved in ABA signaling are essential for the control of seed development and dormancy. Plant Cell Physiol 50:1345–1363

    Article  Google Scholar 

  7. Wang P, Xue L, Batelli G, Lee S, Hou YJ, Van Oosten MJ, Zhang H, Tao WA, Zhu JK (2013) Quantitative phosphoproteomics identifies SnRK2 protein kinase substrates and reveals the effectors of abscisic acid action. Proc Natl Acad Sci USA 110:11205–11210

    Article  Google Scholar 

  8. Yoshida T, Fujita Y, Maruyama K, Mogami J, Todaka D, Shinozaki K, Yamaguchi-Shinozaki K (2015) Four Arabidopsis AREB/ABF transcription factors function predominantly in gene expression downstream of SnRK2 kinases in abscisic acid signalling in response to osmotic stress. Plant Cell Environ 38:35–49

    Article  Google Scholar 

  9. Kulik A, Wawer I, Krzywinska E, Bucholc M, Dobrowolska G (2011) SnRK2 protein kinases–key regulators of plant response to abiotic stresses. Omics 15:859–872

    Article  Google Scholar 

  10. Boudsocq M, Barbier-Brygoo H, Lauriere C (2004) Identification of nine sucrose nonfermenting 1-related protein kinases 2 activated by hyperosmotic and saline stresses in Arabidopsis thaliana. J Biol Chem 279:41758–41766

    Article  Google Scholar 

  11. Fujita Y, Nakashima K, Yoshida T, Katagiri T, Kidokoro S, Kanamori N, Umezawa T, Fujita M, Maruyama K, Ishiyama K et al (2009) Three SnRK2 protein kinases are the main positive regulators of abscisic acid signaling in response to water stress in Arabidopsis. Plant Cell Physiol 50:2123–2132

    Article  Google Scholar 

  12. Huai J, Wang M, He J, Zheng J, Dong Z, Lv H, Zhao J, Wang G (2008) Cloning and characterization of the SnRK2 gene family from Zea mays. Plant Cell Rep 27:1861–1868

    Article  Google Scholar 

  13. Kobayashi Y, Murata M, Minami H, Yamamoto S, Kagaya Y, Hobo T, Yamamoto A, Hattori T (2005) Abscisic acid-activated SNRK2 protein kinases function in the gene-regulation pathway of ABA signal transduction by phosphorylating ABA response element-binding factors. Plant J 44:939–949

    Article  Google Scholar 

  14. Kobayashi Y, Yamamoto S, Minami H, Kagaya Y, Hattori T (2004) Differential activation of the rice sucrose nonfermenting1-related protein kinase2 family by hyperosmotic stress and abscisic acid. Plant Cell 16:1163–1177

    Article  Google Scholar 

  15. Boudsocq M, Droillard MJ, Barbier-Brygoo H, Lauriere C (2007) Different phosphorylation mechanisms are involved in the activation of sucrose non-fermenting 1 related protein kinases 2 by osmotic stresses and abscisic acid. Plant Mol Biol 63:491–503

    Article  Google Scholar 

  16. Li L-B, Zhang Y-R, Liu K-C, Ni Z-F, Fang Z-J, Sun Q-X, Gao J-W (2010) Identification and Bioinformatics Analysis of SnRK2 and CIPK Family Genes in Sorghum. Agri Sci China 9:19–30

    Article  Google Scholar 

  17. Shao Y, Qin Y, Zou Y, Ma F (2014) Genome-wide identification and expression profiling of the SnRK2 gene family in Malus prunifolia. Gene 552:87–97

    Article  Google Scholar 

  18. Huang Z, Tang J, Duan W, Wang Z, Song X, Hou X (2015) Molecular evolution, characterization, and expression analysis of SnRK2 gene family in Pak-choi (Brassica rapa ssp. chinensis). Front Plant Sci 6:879

    Article  Google Scholar 

  19. Liu JY, Chen NN, Cheng ZM, Xiong JS (2016) Genome-wide identification, annotation and expression profile analysis of SnRK2 gene family in grapevine. Aust J Grape Wine Res 22:478–488

    Article  Google Scholar 

  20. Guo D, Li H-L, Zhu J-H, Wang Y, An F, Xie G-S, Peng S-Q (2017) Genome-wide identification, characterization, and expression analysis of SnRK2 family in Hevea brasiliensis. Tree Genet Genomes 13:86

    Article  Google Scholar 

  21. Li C, Nong Q, Xie J, Wang Z, Liang Q, Solanki MK, Malviya MK, Liu X, Li Y, Htun R et al (2017) Molecular characterization and co-expression analysis of the SnRK2 gene family in sugarcane (Saccharum officinarum L.). Sci Rep 7:17659

    Article  Google Scholar 

  22. Wu Z, Cheng J, Hu F, Qin C, Xu X, Hu K (2020) The SnRK2 family in pepper (Capsicum annuum L.): genome-wide identification and expression analyses during fruit development and under abiotic stress. Genes Genom 42:1117–1130

    Article  Google Scholar 

  23. Wu G-Q, Liu Z-X, Xie L-L, Wang J-L (2021) Genome-wide identification and expression analysis of the BvSnRK2 genes family in sugar beet (Beta vulgaris L.) under salt conditions. J Plant Growth Regul 40:519–532

    Article  Google Scholar 

  24. Liu Z, Ge X, Yang Z, Zhang C, Zhao G, Chen E, Liu J, Zhang X, Li F (2017) Genome-wide identification and characterization of SnRK2 gene family in cotton (Gossypium hirsutum L.). BMC Genet 18:54

    Article  Google Scholar 

  25. Fujii H, Verslues PE, Zhu J-K (2011) Arabidopsis decuple mutant reveals the importance of SnRK2 kinases in osmotic stress responses in vivo. Proc Natl Acad Sci USA 108:1717–1722

    Article  Google Scholar 

  26. Diedhiou CJ, Popova OV, Dietz KJ, Golldack D (2008) The SNF1-type serine-threonine protein kinase SAPK4 regulates stress-responsive gene expression in rice. BMC Plant Biol 8:49

    Article  Google Scholar 

  27. Umezawa T, Yoshida R, Maruyama K, Yamaguchi-Shinozaki K, Shinozaki K (2004) SRK2C, a SNF1-related protein kinase 2, improves drought tolerance by controlling stress-responsive gene expression in Arabidopsis thaliana. Proc Natl Acad Sci USA 101:17306–17311

    Article  Google Scholar 

  28. Zheng Z, Xu X, Crosley RA, Greenwalt SA, Sun Y, Blakeslee B, Wang L, Ni W, Sopko MS, Yao C et al (2010) The protein kinase SnRK2.6 mediates the regulation of sucrose metabolism and plant growth in Arabidopsis. Plant Physiol 153:99–113

    Article  Google Scholar 

  29. Mao X, Zhang H, Tian S, Chang X, Jing R (2010) TaSnRK2.4, an SNF1-type serine/threonine protein kinase of wheat (Triticum aestivum L.), confers enhanced multistress tolerance in Arabidopsis. J Exp Bot 61:683–696

    Article  Google Scholar 

  30. Zhang H, Mao X, Jing R, Chang X, Xie H (2011) Characterization of a common wheat (Triticum aestivum L.) TaSnRK2.7 gene involved in abiotic stress responses. J Exp Bot 62:975–988

    Article  Google Scholar 

  31. Zhang H, Mao X, Wang C, Jing R (2010) Overexpression of a common wheat gene TaSnRK2.8 enhances tolerance to drought, salt and low temperature in Arabidopsis. PloS one 5:e16041

    Article  Google Scholar 

  32. Phan TT, Sun B, Niu JQ, Tan QL, Li J, Yang LT, Li YR (2016) Overexpression of sugarcane gene SoSnRK2.1 confers drought tolerance in transgenic tobacco. Plant Cell Rep 35:1891–1905

    Article  Google Scholar 

  33. Piattoni CV, Bustos DM, Guerrero SA, Iglesias AA (2011) Nonphosphorylating glyceraldehyde-3-phosphate dehydrogenase is phosphorylated in wheat endosperm at serine-404 by an SNF1-related protein kinase allosterically inhibited by ribose-5-phosphate. Plant Physiol 156:1337–1350

    Article  Google Scholar 

  34. Belda-Palaz贸n B, Adamo M, Valerio C, Ferreira LJ, Confraria A, Reis-Barata D, Rodrigues A, Meyer C, Rodriguez PL, Baena-Gonz谩lez E (2020) A dual function of SnRK2 kinases in the regulation of SnRK1 and plant growth. Nature plants 6:1345–1353

    Article  Google Scholar 

  35. Bulletin-2014, S (2014) Food and Agriculture Organization of the United Nations. SA, USA

    Google Scholar 

  36. Islam MS, Saito JA, Emdad EM, Ahmed B, Islam MM, Halim A, Hossen QM, Hossain MZ, Ahmed R, Hossain MS et al (2017) Comparative genomics of two jute species and insight into fibre biogenesis. Nat Plants 3:16223

    Article  Google Scholar 

  37. Yang Z, Dai Z, Lu R, Wu B, Tang Q, Xu Y, Cheng C, Su J (2017) Transcriptome analysis of two species of jute in response to polyethylene glycol (PEG)- induced drought stress. Sci Rep 7:16565

    Article  Google Scholar 

  38. Yang Z, Lu R, Dai Z, Yan A, Tang Q, Cheng C, Xu Y, Yang W, Su J (2017) Salt-stress response mechanisms using de novo transcriptome sequencing of salt-tolerant and sensitive Corchorus spp. Genotypes. Genes 8:226

    Article  Google Scholar 

  39. Yang Z, Yan A, Lu R, Dai Z, Tang Q, Cheng C, Xu Y, Su J (2017) De novo transcriptome sequencing of two cultivated jute species under salinity stress. PLoS ONE 12:e0185863

    Article  Google Scholar 

  40. Singh AK (2017) The potential of jute crop for mitigation of greenhouse gas emission in the changing climatic scenario. J Agric Sci 13:419–423

    Google Scholar 

  41. Naik M, Barman D, Maruthi RT, Babu V, Mandal U, Kundu D (2019) Assessment of salinity tolerance based upon morpho-physiological attributes in white jute (Corchorus capsularis L.). J Environ Biol 40:377–383

    Article  Google Scholar 

  42. Yumnam S, Sawarkar A, Mukherjee S (2018) Response to water stress on some seedling characters of tossa jute (Corchorus olitorius L.)

    Google Scholar 

  43. Dhar P, Ojha D, Kar C, Mitra J (2018) Differential response of tossa jute (Corchorus olitorius) submitted to water deficit stress. Ind Crops Prod 112:141–150

    Article  Google Scholar 

  44. Prodhan AK, Rahman ML, Haque MA (2001) Effect of water stresses on growth attributes in jute II. Plant Base Diameter. Pak J Biol Sci. 4:660–4

    Article  Google Scholar 

  45. Prodhan AK, Rahman ML, Haque MA (2001) Effect of water stresses on growth attributes in jute I plant height. Pak J Biol Sci 4:128–35

    Article  Google Scholar 

  46. Hamzah Saleem M, Rahman M, Ihsan M, Xiang W, Lijun L, Imran M (2020) Morphological changes and antioxidative capacity of jute (Corchorus capsularis, Malvaceae) under diferent color light? Emitting diodes. Braz J Bot 42:590

    Google Scholar 

  47. Larnyo A, Atitsogbui P (2020) Effect of temperature treatments on seed germination and seedling growth of jute mallow (Corchorus olitorius). Int J Environ Agri Biotechnol 5:1631–1640

    Google Scholar 

  48. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215:403–410

    Article  Google Scholar 

  49. Finn RD, Coggill P, Eberhardt RY, Eddy SR, Mistry J, Mitchell AL, Potter SC, Punta M, Qureshi M, Sangrador-Vegas A et al (2016) The Pfam protein families database: towards a more sustainable future. Nucleic Acids Res 44:D279-285

    Article  Google Scholar 

  50. Kumar M, Thammannagowda S, Bulone V, Chiang V, Han KH, Joshi CP, Mansfield SD, Mellerowicz E, Sundberg B, Teeri T et al (2009) An update on the nomenclature for the cellulose synthase genes in Populus. Trends Plant Sci 14:248–254

    Article  Google Scholar 

  51. Delmer DP (1999) Cellulose biosynthesis: exciting times for a difficult field of study. Annu Rev Plant Physiol Plant Mol Biol 50:245–276

    Article  Google Scholar 

  52. Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32:1792–1797

    Article  Google Scholar 

  53. Jin G, Nakhleh L, Snir S, Tuller T (2006) Maximum likelihood of phylogenetic networks. Bioinformatics 22:2604–2611

    Article  Google Scholar 

  54. Kumar S, Stecher G, Tamura K (2016) MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 33:1870–1874

    Article  Google Scholar 

  55. Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, Li W, Lopez R, McWilliam H, Remmert M, Söding J et al (2011) Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol 7:539

    Article  Google Scholar 

  56. Robert X, Gouet P (2014) Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Res 42:W320-324

    Article  Google Scholar 

  57. Hu B, Jin J, Guo AY, Zhang H, Luo J, Gao G (2015) GSDS 2.0: an upgraded gene feature visualization server. Bioinformatics 31:1296–1297

    Article  Google Scholar 

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

    Article  Google Scholar 

  59. Wilkins MR, Gasteiger E, Bairoch A, Sanchez JC, Williams KL, Appel RD, Hochstrasser DF (1999) Protein identification and analysis tools in the ExPASy server. Methods Mol Biol 112:531–52. https://doi.org/10.1385/1-59259-584-7:531.

  60. Chou KC, Shen HB (2010) Plant-mPLoc: a top-down strategy to augment the power for predicting plant protein subcellular localization. PLoS ONE 5:e11335

    Article  Google Scholar 

  61. Gotz S, Arnold R, Sebastian-Leon P, Martin-Rodriguez S, Tischler P, Jehl MA, Dopazo J, Rattei T, Conesa A (2011) B2G-FAR, a species-centered GO annotation repository. Bioinformatics 27:919–924

    Article  Google Scholar 

  62. Rombauts S, Dehais P, Van Montagu M, Rouze P (1999) PlantCARE, a plant cis-acting regulatory element database. Nucleic Acids Res 27:295–296

    Article  Google Scholar 

  63. Higo K, Ugawa Y, Iwamoto M, Korenaga T (1999) Plant cis-acting regulatory DNA elements (PLACE) database: 1999. Nucleic Acids Res 27:297–300

    Article  Google Scholar 

  64. Neupane S, Schweitzer SE, Neupane A (2019) Identification and characterization of mitogen-activated protein kinase (MAPK) genes in sunflower (Helianthus annuus L.). p 8

    Google Scholar 

  65. Kim D, Pertea G, Trapnell C, Pimentel H, Kelley R, Salzberg SL (2013) TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol 14:R36

    Article  Google Scholar 

  66. Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley DR, Pimentel H, Salzberg SL, Rinn JL, Pachter L (2012) Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc 7:562–578

    Article  Google Scholar 

  67. Saha J, Chatterjee C, Sengupta A, Gupta K, Gupta B (2014) Genome-wide analysis and evolutionary study of sucrose non-fermenting 1-related protein kinase 2 (SnRK2) gene family members in Arabidopsis and Oryza. Comput Biol Chem 49:59–70

    Article  Google Scholar 

  68. Shin R, Alvarez S, Burch AY, Jez JM, Schachtman DP (2007) Phosphoproteomic identification of targets of the Arabidopsis sucrose nonfermenting-like kinase SnRK2.8 reveals a connection to metabolic processes. Proc Natl Acad Sci USA 104:6460–6465

    Article  Google Scholar 

  69. Zhao W, Cheng YH, Zhang C, Shen XJ, You QB, Guo W, Li X, Song XJ, Zhou XA, Jiao YQ (2017) Genome-wide identification and characterization of the GmSnRK2 family in soybean. Int J Mol Sci 18:1834

    Article  Google Scholar 

  70. Umezawa T, Nakashima K, Miyakawa T, Kuromori T, Tanokura M, Shinozaki K, Yamaguchi-Shinozaki K (2010) Molecular basis of the core regulatory network in ABA responses: sensing, signaling and transport. Plant Cell Physiol 51:1821–1839

    Article  Google Scholar 

  71. Zhu C, Schraut D, Hartung W, Schaffner AR (2005) Differential responses of maize MIP genes to salt stress and ABA. J Exp Bot 56:2971–2981

    Article  Google Scholar 

  72. Li W, Cui X, Meng Z, Huang X, Xie Q, Wu H, Jin H, Zhang D, Liang W (2012) Transcriptional regulation of Arabidopsis MIR168a and argonaute1 homeostasis in abscisic acid and abiotic stress responses. Plant Physiol 158:1279–1292

    Article  Google Scholar 

  73. Creelman RA, Mullet JE (1997) BIOSYNTHESIS AND ACTION OF JASMONATES IN PLANTS. Annu Rev Plant Physiol Plant Mol Biol 48:355–381

    Article  Google Scholar 

  74. Pieterse CM, van Wees SC, van Pelt JA, Knoester M, Laan R, Gerrits H, Weisbeek PJ, van Loon LC (1998) A novel signaling pathway controlling induced systemic resistance in Arabidopsis. Plant Cell 10:1571–1580

    Article  Google Scholar 

  75. Turner JG, Ellis C, Devoto A (2002) The jasmonate signal pathway. Plant Cell 14(Suppl):S153-164

    Article  Google Scholar 

  76. Browse J, Howe GA (2008) New weapons and a rapid response against insect attack. Plant Physiol 146:832–838

    Article  Google Scholar 

  77. Wang Y, Liu G-J, Yan X-F, Wei Z-G, Xu Z-R (2011) MeJA-inducible expression of the heterologous JAZ2 promoter from Arabidopsis in Populus trichocarpa protoplasts. J Plant Dis Prot 118:69–74

    Article  Google Scholar 

  78. Fujii H, Zhu JK (2012) Osmotic stress signaling via protein kinases. Cell Mol Life Sci 69:3165–3173

    Article  Google Scholar 

  79. Yoo MJ, Ma T, Zhu N, Liu L, Harmon AC, Wang Q, Chen S (2016) Genome-wide identification and homeolog-specific expression analysis of the SnRK2 genes in Brassica napus guard cells. Plant Mol Biol 91:211–227

    Article  Google Scholar 

  80. Mikolajczyk M, Awotunde OS, Muszynska G, Klessig DF, Dobrowolska G (2000) Osmotic stress induces rapid activation of a salicylic acid-induced protein kinase and a homolog of protein kinase ASK1 in tobacco cells. Plant Cell 12:165–178

    Google Scholar 

  81. Vlad F, Rubio S, Rodrigues A, Sirichandra C, Belin C, Robert N, Leung J, Rodriguez PL, Lauriere C, Merlot S (2009) Protein phosphatases 2C regulate the activation of the Snf1-related kinase OST1 by abscisic acid in Arabidopsis. Plant Cell 21:3170–3184

    Article  Google Scholar 

  82. Ng LM, Soon FF, Zhou XE, West GM, Kovach A, Suino-Powell KM, Chalmers MJ, Li J, Yong EL, Zhu JK et al (2011) Structural basis for basal activity and autoactivation of abscisic acid (ABA) signaling SnRK2 kinases. Proc Natl Acad Sci USA 108:21259–21264

    Article  Google Scholar 

  83. Mizoguchi M, Umezawa T, Nakashima K, Kidokoro S, Takasaki H, Fujita Y, Yamaguchi-Shinozaki K, Shinozaki K (2010) Two closely related subclass II SnRK2 protein kinases cooperatively regulate drought-inducible gene expression. Plant Cell Physiol 51:842–847

    Article  Google Scholar 

  84. Xue T, Wang D, Zhang S, Ehlting J, Ni F, Jakab S, Zheng C, Zhong Y (2008) Genome-wide and expression analysis of protein phosphatase 2C in rice and Arabidopsis. BMC Genomics 9:550

    Article  Google Scholar 

  85. Hobo T, Kowyama Y, Hattori T (1999) A bZIP factor, TRAB1, interacts with VP1 and mediates abscisic acid-induced transcription. Proc Natl Acad Sci USA 96:15348–15353

    Article  Google Scholar 

  86. Rieping M, Schoffl F (1992) Synergistic effect of upstream sequences, CCAAT box elements, and HSE sequences for enhanced expression of chimaeric heat shock genes in transgenic tobacco. Mol Gen Genet MGG 231:226–232

    Article  Google Scholar 

  87. Rahman K, Ahmed N, Raihan MR, Nowroz F, Jannat F, Rahman M, Hasanuzzaman M (2021) Jute responses and tolerance to abiotic stress: mechanisms and approaches. Plants 10:1595

    Article  Google Scholar 

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Acknowledgements

The author would like to thank all the scientists of Basic and Applied Research on Jute Projects, Bangladesh Jute Research Institute, for their cordial support.

Funding

This research received no external funding.

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Authors and Affiliations

  1. Basic and Applied Research On Jute Project, Bangladesh Jute Research Institute, Dhaka, 1207, Bangladesh

    Borhan Ahmed, Rasel Ahmed & Md. Ruhul Amin

  2. Faculty of Agriculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur, 1706, Bangladesh

    Fakhrul Hasan

  3. American International University of Bangladesh, Dhaka, 1229, Bangladesh

    Anika Tabassum

  4. Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA

    Rajnee Hassan

  5. Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, 47 Mayers Rd, Nambour, QLD, 4560, Australia

    Mobashwer Alam

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  1. Borhan Ahmed
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  4. Rasel Ahmed
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Contributions

Conceptualization, B.A., M.A., and F.H.; Methodology, B.A., A.T, R.A., and M.R.A.; Analysis of RNA expression data, B.A., A.T., R.H., and R.A.; Writing: B.A. and M.A.; Review and editing, B.A., R.A., R. H., and M.R.A; Supervision, B.A., M.A., and F.H. The authors have read and approved the final manuscript.

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Correspondence to Borhan Ahmed.

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Supplementary Information

Additional file 1.

Protein sequence of AtSnRK2s, CcSnRK2s and CoSnRK2s.

Additional file 2: Fig. S1.

Ramachandran Plot Analysis for CoSnRK2 and CcSnRK2 genes.

Additional file 3: Table S1.

Details of RNA-Seq transcriptome data used for expression analysis of SnRK2 genes in C. capsularis and C. olitorius. Table S2. Identity percentage of similarity in amino acid sequence of paralogous SnRK2 genes. Table S3. Length of the second through the eight exons of SnRK2 genes (data as gff3 format). Table S4. Structural analyses of the SnRK2 proteins in both Corchorus species. Table S5. Gene Ontology (GO) annotation details for Co and CcSnRK2 proteins in both Corchorus species. Table S6. Promoter analysis of SnRK2s genes of two jute species using PlantCare database. Table S7. Promoter analysis of SnRK2s genes of two jutre species using PLACE database. Table S8. Differentially expressed SnRK2 genes in in different plant parts (a), and against waterlogging (b), Salinity (c) & Drought (d) condition. Table S9. Genome-wide identification and classification of SnRK2 genes in 21 plant species.

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Ahmed, B., Hasan, F., Tabassum, A. et al. Genome-wide investigation of SnRK2 gene family in two jute species: Corchorus olitorius and Corchorus capsularis. J Genet Eng Biotechnol 21, 5 (2023). https://doi.org/10.1186/s43141-022-00453-x

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Keywords

  • SnRK2s
  • Phylogenetic analysis
  • Waterlogging
  • Drought
  • Salt tolerance
  • Expression analysis