Genome-wide identification and analysis of the CNGC gene family in upland cotton under multiple stress conditions
Journal of Cotton Research volume 6, Article number: 17 (2023)
The cyclic nucleotide-gated channel (CNGC) gene family plays a significant role in the uptake of both essential and toxic cations, and has a role in enhancing tolerance to various forms of abiotic stresses as well as the modulation of the heavy metal toxicity to plant through the absorption of heavy metals.
A complete genome-wide identification and functional characterization of the cotton CNGC genes was carried out, in which 55, 28, and 29 CNGC genes were identified in Gossypium hirsutum, G. raimondii, and G. arboreum, respectively. The protein encoded by the CNGC genes exhibited GRAVY value below zero, indicating their hydrophilic property. CNGC genes were unevenly distributed in 19 out of 26 chromosomes, in which the highest density were observed on Ah05, with 8 genes. High gene coverage was observed among the diploid cotton species, with CNGC genes mapped on all A chromosomes and on 11 out of 13 of D chromosomes. The majority of CNGC proteins were localized in the endoplasmic reticulum, nucleus, and plasma membrane. Gene expression analysis revealed the up-regulation of Gh_A01G0520 (CNGC4) and Gh_D13G1974 (CNGC5) across various forms of abiotic stresses. Moreover, down-regulation of Gh_A01G0520 (CNGC4) and Gh_D13G1974 (CNGC5) in CNGCs silenced plants caused the significantly reduced ability to tolerate drought and salt stresses. All CNGCs silenced plants were recorded to have significantly low content of antioxidants but relatively higher content of oxidant, including MDA and H2O2. Furthermore, SPAD, CMS (cell membrane stability), ELWL (excised leaf water loss), SDW (shoot dry matter weight), and RDW (root dry matter weight) were all lower in CNGCs silenced plants compared with the wild type plants.
Significant reduction in antioxidant content and negative effects of physiological and morphological characters in CNGCs silenced plants has revealed the novel role of CNGC genes in enhancing cell integrity under abiotic stress conditions. These results provide vital information that will expand our understanding of the CNGC gene family in cotton and other plants, thus promoting the integration of these genes in the development of the environmental resilient plants.
The cyclic nucleotide-gated channel (CNGC) gene family plays a vital role in plant physiological processes related to development, host-pathogen interactions, environmental stresses, and signaling pathways (Nawaz et al. 2019). The CNGC is believed to be involved in the uptake of both essential and toxic cations. Some of the essential cations include calcium, sodium, and potassium, while the toxic cations include cadmium, aluminum, and lead (Saand et al. 2015). In plants, CNGC proteins have a conserved structural component, composed of six trans-membrane helices (S1–S6) with a pore-forming region between S5 and S6, a short cytosolic N-terminus, and a cytosolic C-terminus containing a cNMP-binding domain (CNBD) (Nawaz et al. 2014). Genome-wide studies have been done on several organisms such as tomato (Saand et al. 2015), maize (Hao and Qiao 2018), wheat (Guo et al. 2018), Chinese cabbage (Li et al. 2019a), tobacco (Nawaz et al. 2019), rice (Cui et al. 2020), pea (Chen et al. 2015), and Brassica oleracea (Kakar et al. 2017).
CNGCs have been reported to play a critical role in response to various abiotic stimuli, including salt, cold, light signaling, and metal stress conditions (Yuen and Christopher 2010). Furthermore, they have also been found associated with biotic stress signaling, such as pathogen defense signal transduction, hormone signal perception, gibberellic acid-induced signaling, and phytochrome signaling (Ma et al. 2010). CNGCs are cation transport channel proteins associated with sodium, calcium, and potassium transportation across cellular membranes. In Arabidopsis, it has been observed that AtCNGC2 is involved in jasmonic acid (JA)-induced apoplastic Ca2+ influx and is activated by cAMP. And the calcium ion (Ca2+) is an essential secondary messenger in modulating multiple signaling pathways in plants.
Plants being sessile organisms, are constantly exposed to harsh environmental conditions, and have evolved and developed core stress signaling pathways to cope with these various environmental stress conditions (Verma et al. 2016). Stress signaling is essential in regulating proteins involved in homeostasis. The extreme environmental conditions include biotic stresses such as pathogens, and abiotic stresses, including salt, drought, cold, nutrient deficiency, heat, and heavy toxicity. Whole-genome sequencing of the tetraploid cotton species, including Gossypium hirsutum (Zhang et al. 2015), G. arboreum (Li et al. 2014), and G. raimondii (Lin et al. 2010), provides a platform for whole genome identification and functional characterizations of cotton CNGC proteins under drought and salt stresses.
Materials and methods
Identification of the CNGC gene family in the Gossypium genome
The various CNGCs were obtained by downloading from various genome databases. For the tetraploid cotton, the GhCNGC protein sequences were obtained from the Cotton Research Institute website (http://mascotton.njau.edu.cn, Nanjing, China), the diploid cotton CNGC sequences for Gossypium raimondii (GrCNGC) were downloaded from Phytozome 12 (http://www.phytozome.net/, Joint Genome Institute, Department of Energy), with the expected value E < 0.01, while the CGNC sequences for Gossypium arboreum, GaCNGC were downloaded from the Beijing Genome Institute (https://www.bgi.com/, Beijing, China). The conserved domain of CNGC proteins (PF00027) was downloaded from Pfam protein families (http://pfam.xfam.org/, European Molecular Biology Laboratory). For the identification of CNGC proteins in cotton, the hidden Markov model analysis (HMM) profile of the CNGC proteins was used as a query to carry out the HMMER search (http://hmmer.janelia.org/) against G. hirsutum, G. raimondii, and G. arboreum. Two online tools were later used to confirm the presence of the CNGC domain for further analysis: the Simple Modular Architecture Research Tool (SMART) program (http://smart.embl-heidelberg.de/) and the ScanProsite tool (http://prosite.expasy.org/scanprosite/, Swiss Institute of Bioinformatics). SMART program and Protein family databases were used to verifying the presence of the CNGC domain. The physicochemical properties of CNGC proteins were determined through the ExPASy Server tool (http://www.web.xpasy.org/compute_pi/, Swiss Institute of Bioinformatics).
Phylogenetic analysis and gene structure
To investigate the evolutionary relationship among CNGC proteins, all of them were obtained to construct their phylogenetic relationship. The phylogenetic tree was constructed using MEGA 7.0, adopting the neighbor-joining (NJ) method. The bootstrap parameters were set as 1 000 times (Kumar et al. 2016). Multiple sequences alignment of CNGC sequences from cotton and other plants was done using the ClustalW version 2.0 (Higgins et al. 1996). The exon/intron structures of CNGCs were generated using gene structure displayer software (http://gsds.cbi.pku.edu.cn) by aligning the coding domain sequences (CDS) and DNA sequences of CNGC genes.
Chromosomal location and subcellular localization
All the CNGC genes’ chromosomal localization were obtained and then mapped to cotton chromosomes based on respective positions using MapChart 2.2 software (Voorrips 2002). The sub-cellular localization prediction for all the upland cotton CNGC proteins was determined through the online tool WoLF PSORT (Protein Sub-cellular Localization Prediction) (https://www.wolfpsort.hgc.jp/). Moreover, the sub-cellular prediction results were further confirmed using two other online tools, TargetP 1.1 server (Bodén and Hawkins 2005) and Protein Prowler Sub-cellular Localization Predictor version 1.2 (http://www.bioinf.scmb.uq.edu.au/pprowler_webapp_1-2/).
Quantitative real-time polymerase chain reaction (RT-qPCR) profiling of the cotton CNGC genes
The ribonucleic acid (RNA) was extracted from leaf samples using EASYspin plus plant RNA kit obtained from Aid Lab, China, following the manufacturer's instructions. The quality and quantity of all the extracted RNA samples were determined by Agarose gel electrophoresis. The RNA was then reverse-transcribed into complementary deoxyribonucleic acid (cDNA) using Prime Script Reverse Transcript reagent Kit (TaKaRa, Kusatsu, Japan). The gene-specific primers (Supplementary Table S1) were used for real-time quantitative polymerase chain reaction (RT-qPCR) analysis. The reaction was carried out as described by Magwanga et al. (2018).
Virus-induced gene silencing (VIGS) of the GhCNGC genes
Reverse genetic analysis was carried out via virus-induced gene silencing (VIGS) using tobacco rattle virus (TRV). The cloning efficiency was enhanced using the Cloning and Assembly Kit (Transgen, China). Primers designed for the PCR amplification had a 15-bp overlapped sequence with the pTRV vector and contained a BamHI and XBA1 restriction sites. The generation of a tobacco rattle virus (TRV) based VIGS vector for Agrobacterium-mediated inoculation and the recombinant pTRV vector for the silencing of Gh_A01G0520 (2 130 bp) and Gh_D13G1974 (2 232 bp) in cotton, were carried out as described by Zhao et al. (2013). The VIGS experiments used the Agrobacterium tumefaciens strain GV3101 containing pTRV1 or pTRV2. GV3101 containing the TRV-VIGS vectors was grown at 28 °C overnight in LB medium with 10 mmol·L–1 MES buffer (pH 5.6) and 20 mmol·L–1 acetosyringone, kanamycin, and rifampicin with a revolution set at 200 r·min–1. The plants were inoculated by creating a small scar or wound on the leaf. And using an injection syringe, the inoculants were driven slowly into the plant (Broderick and Jones 2014).
Evaluation of the VIGS plants, wild type, and the empty vector transformed plants under abiotic stress conditions
To determine the effect of knockdown of GhCNGC genes in cotton, the G. hirsutum var. Marie-galante 85 (MAR85) was used. This variety is relatively tolerant of various forms of abiotic stresses such as drought, salt, and cold (Xu et al. 2019a). Seeds were planted on wet blotting papers, and transplanted in troughs filled with Hoagland solution for subsequent stress treatments. Cotton seedlings were planted in a growth chamber at 25 °C, with conditions set at 16 h light/8 h dark cycle. Plants were subjected to different abiotic stress treatments at three leaf stage. Seedlings were subjected to salt and drought stress conditions by supplementing Hoagland solution with 250 mmol·L–1 Sodium chloride (NaCl) or 17% polyethylene glycol-6000 (PEG-6000), respectively. After a period of stress exposure, analysis of morphological, physiological, and biochemical parameters were carried out. Morphological traits, including plant height (PH), root dry matter weight (RDW), and shoot dry matter weight (SDW) were evaluated. The physiological parameters evaluation included the cell membrane stability (CMS), chlorophyll content measured as the SPAD values, relative leaf water content (RLWC), and excised leaf water loss (ELWL). The RLWL was measured using the formula RLWC = [(FW-DW)/(SW-DW)]*100 (Soltys-Kalina et al. 2016), ELWL and CMS were conducted as described by Magwanga et al. (2020). The biochemical parameters of antioxidant and oxidant enzymes were evaluated. The measured antioxidants were superoxide dismutase (SOD), and proline, while for the oxidants, malondialdehyde (MDA), and the hydrogen peroxide (H2O2) contents were measured. All indexes were detected with three biological replicates and three experimental replicates.
Identification and physicochemical analysis of CNGC genes in cotton
A total of 112 CNGC genes were obtained, with 55, 28, and 29 CNGC genes in G. hirsutum of AD genome, G. raimondii of D genome, and G. arboreum of A genome, respectively. The CNGC protein length in G. hirsutum ranged from 95 aa to 1 099 aa, and their molecular weight ranged from 10.539 kDa to 121.541 kDa. The pI values ranged from 4.6 to 9.7, the charge ranged from –29.5 to 39, and the gravy value ranged between –0.673 and 0.044. The CNGC protein length of G. raimondii and G. arboreum ranged between 433 aa and 1 101 aa, the molecular weight ranged from 49.13 kDa to 121.80 kDa, pI values ranged from 4.89 to 10.10, the charge ranged from –31 to 32, and their gravy values ranged between –0.26 and 0.048 (Supplementary Table S2). The gravy values below zero indicated that these genes were mainly hydrophilic.
Chromosomal mapping of the CNGC genes in cotton
The CNGC genes were mapped against various chromosomes. In tetraploid cotton, genes were unevenly distributed. Only 19 out of 26 chromosomes harbored the CNGC genes. The highest gene density was observed in chromosome Ah05, Ah13, Dh05, and Dh13, with 8, 5, 5, and 5 genes, respectively. While the lowest gene density was noted in chromosomes Ah01, Ah08, Dh01, Dh02, and Dh10, with a single gene in each of chromosomes. Other chromosomes harbored 4 CNGC genes. However, chromosomes Ah02, Ah09, Ah10, Ah11, Dh09, Dh11, and Dh12 contained no CNGC gene (Fig. 1A). A unique observation was noted in chromosome Ah02 and Ah04, which harbored none of the CNGC gene, while chromosomes Dh02 and Dh04 harbored 2 and 3 CNGC genes, respectively. This showed that there could be the gene loss over time. The mapping of CNGC genes among the diploid cotton chromosomes, most A genome chromosomes harbored the CNGC genes except for Ah02 and Ah09, which had no CNGC gene. Moreover, the highest gene density was observed on Ah05 and Ah13, with 5 CNGC genes on each chromosome (Fig. 1C). In the D genome, a similar pattern was observed, only two chromosomes Dh06 and Dh08 harbored none of the CNGC gene, but more chromosomes were observed to have higher gene densities, for instance, chromosomes Dh01, Dh09, Dh10, and Dh13 had 4, 5, 4, and 4 CNGC genes, respectively (Fig. 1B).
Phylogenetic analysis and subcellular localization prediction of the proteins encoded by the CNGC genes in cotton
To determine the phylogenetic relationships of CNGC genes among Gossypium spp and A. thaliana, O. sativa, and other species, we performed phylogenetic analyses using CNGC protein sequences. The members of CNGCs were divided into three clades. All orthologous gene pairs of the cotton CNGCs were formed among the cotton species, which indicates a close relationship (Fig. 2).
To determine the possible subcellular localization, CNGC proteins’ coding sequences from the three cotton species were analyzed through the online tool WoLF PSORT. Proteins were found to be located in various subcellular structures, namely endoplasmic reticulum (E.R.), cytoplasm (Cyto), mitochondrion (Mito), nucleus (nucl), plasma membrane (plas), and vacuole (vacu). Most CNGC proteins were predicted to be located in the endoplasmic reticulum (E.R.), with 20 (36.4%), 11(37.9%), and 11(39.3%) for the CNGC proteins obtained from G. hirsutum, G. arboretum, and G. raimondii, respectively (Fig. 3).
Gene structures and gene ontology analysis
The investigation of the exon-intron structure in upland cotton revealed that GhCNGC genes contained introns except for two genes located in the scaffold region, while the number of introns varied. The introns have a significant effect on the genes. The removal of the intron by the spliceosome were found to alter gene expression at several levels. Furthermore, phylogenetic tree analysis found similarities of GhCNGC gene subgroups’ intron-exon structure (Fig. 4). Most GhCNGC genes clustered together showed high similarity in the exon-intron organization, in intron lengths and exon numbers.
In the GO analysis, a total of 55 genes were found to be associated with various gene ontology terms. The gene ontology terms were classified into three broad domains, including biological process, cellular component, and molecular function. Among the CNGC genes, higher number of the genes were involved in biological process (BP), including localization, biological regulation, regulation of the biological process, cellular process, response to stimuli, developmental process, multicellular organism process, and metabolic process. Plant response to abiotic stress includes modification of various metabolic process for instance amino acid metabolisms. Studies had shown that the amino acid derivatives increased in Arabidopsis thaliana post stress exposure, and increased the synthesis of amino acids precursors (Batista-Silva et al. 2019). The cellular component (CC) had four significant terms, namely the cell, cell part, membrane, and membrane part. In molecular functions (MF), three terms were observed, including cellular activity, binding, and transporter activities (Fig. 5). Some GO terms were found in almost all CNGC genes, such as GO:0016021 was associated with 51 genes, described as an integral component of membrane, GO:0071805 was linked to 42 genes, and described as potassium ion transmembrane transport, GO:0005249 as a voltage-gated potassium channel activity, and GO:0034765 was associated with regulation of ion transmembrane transport. (Fig. 5).
Gene expression analysis of GhCNGC gene under salt and drought stress
To evaluate the role of CNGC genes in cotton, the seeds of a relatively stress-tolerant upland cotton genotype, G. hirsutum var. Marie-galante 85 (MAR85) was used to analyze the gene expression profile (Yang et al. 2019). After 3 days of germination, the seedlings were transferred to a hydroponic setup. And at three leaf stage, the seedlings were exposed to salt and drought stress conditions. The drought and salt stress factors were imposed by adding 17% PEG-6000 and 250 mmol·L–1 of NaCl to the Hoagland solution. Samples were collected at 0 h, 3 h, 6 h, 12 h, and 24 h post stress exposure. RNA was extracted from leaf, stem, and root tissues and converted to cDNA for RT-qPCR analysis. The CNGC gene-specific primers were designed by primer premier six as outlined by You et al. (2005). The GhActin was used as an internal control. The expression pattern of the cotton CNGC genes exhibited a similar trend. It was observed that two genes showed significant upregulation of the Gh_A01G0520 (CNGC4) cyclic nucleotide-gated ion channel 4 and Gh_D13G1974 (CNGC5). Probable cyclic nucleotide-gated ion channel 5 under drought and salt stress conditions across all the tissues were analyzed (Fig. 6). The upregulation of these two CNGC genes demonstrated that the genes could be playing a vital role in enhancing drought and salt stress tolerance in cotton.
Silencing of GhCNGC4 and GhCNGC5 and RT-qPCR validation of the cotton CNGC genes under drought and salt stresses
In order to understand the role of the GhCNGC genes in salt and drought stresses, two of the upregulated genes, Gh_A01G0520 (CNGC4) and Gh_D13G1974 (CNGC5), were knocked down by the Virus-induced gene silencing (VIGS) method. We used the tobacco rattle virus (TRV)-based VIGS of PHYTOENE DESATURASE (PDS) to determine the genes’ silencing effectiveness. PDS had been used in various experiments, and when expressed in plants, they exhibited photo-bleaching leaf phenotype (Xu et al. 2019b). The seedlings that were infused with pTRV2:PDS showed an albino appearance on the first true leaves after 7 days. The severity of the albino continued with the growth of seedlings, and over 99% of the bleaching young emerging leaves attained two weeks post inoculation (Fig. 7A). The silenced plants were adversely affected compared with the wild type plants (Fig. 7B and C). Environmental stresses caused osmotic stress in plants, affected plant growth and yield. The expression pattern of GhCNGC genes was examined in response to salt and drought stresses using RT-qPCR, and the analysis was performed using the total RNA extracted from leaves of G. hirsutum var. Marie-galante 85 (MAR85). Seedlings were subjected to 24 h exposure to NaCl and PEG. Leaves were harvested. The expression pattern was determined through RT-qPCR, and the expression level of CNGC genes in the mutant cotton tissues showed significant down-regulation compared with its expression in the non-silenced cotton seedlings. This validated the role played by the novel silenced genes (Fig. 7D). These results concur with previous studies where genes of interest were knocked down, such as the knockdown of Dehydrin genes in Capsicum annuum L. (Jing et al. 2016), GH3 genes in cotton (Kirungu et al. 2019), and cytochrome genes in cotton (Magwanga et al. 2019b). Knockdown of the two CNGC genes lowered the ability of the plant to withstand the stresses imposed on them. The plant height and the shoot fresh weight were greatly reduced in VIGS plants as compared with wild type plants and the positive control (Fig. 7E and F), this indicated that imposing the plants to the four stress conditions compromised the growth of plants. This showed the significant role of CNGC gene in promoting plant growth and development. Similar results have been observed in maize (Hao and Qiao 2018) where it promoted embryo development.
Biochemical analysis under drought and salt stress conditions
The antioxidants and oxidants enzymes activity in CNGCs silenced plants were assayed. The antioxidants evaluated in this study were superoxide dismutase (SOD) and proline, while the oxidants hydrogen peroxide (H2O2) and malondialdehyde (MDA) were assayed, too. The plants showed a significant reduction in the content of all the assayed antioxidants. However, there was a two-fold increase of oxidant enzyme concentration in the VIGS-plants compared with the wild type plant and the positive control plant under drought and salt stress conditions (Fig. 8). The antioxidants, such as SODs, were the first line of defense in plant against the damage caused by the excessive ROS when the equilibrium state of ROS was altered (Li et al. 2019b). The significant reduction of various antioxidants and increased level of oxidants demonstrated that knockdown of the two GhCNGC genes in cotton affected the plants’ ability to tolerate drought and salt stresses.
Evaluation of physiological parameter
Some of the physiological traits were measured including excised leaf water loss (ELWL), saturated leaf weight (SLW), cell membrane stability (CMS), and chlorophyll content (SPAD value). In all the measured traits, there was a significant difference between the CNGCs silenced plants and wild type plant. There was a higher ion leakage in the CNGCs silenced plants compared with the wild type plants (Fig. 9C). The higher ion leakage was due to the compromised cell membrane which lead to extensive oxidative injury.
Cotton farming is essential for many countries' economic growth. Textiles industries mostly rely on cotton as the primary source of natural fiber (Thyavihalli Girijappa et al. 2019), however its production has been affected by abiotic stresses such as salt, drought, cold, and heavy metals toxicity occasioned by poor disposal of industrial wastes. These stresses adversely affect plants and represent the output of complex interactions (Zhu 2016). In this study, we performed genome-wide identification and characterization of the CNGC gene family. Similar genome-wide studies have been carried out in other plants such as maize (Hao and Qiao 2018), wheat (Guo et al. 2018), and pear (Chen et al. 2015). We identified a total of 112 genes distributed in the three genomes, 55 CNGC genes in G. hirsutum of AD genome, 28 CNGC genes in G. raimondii of D genome, and 29 CNGC genes in G. arboreum of A genome. There is gene loss in upland cotton G. hirsutum compared with the total number of CNGC genes in D genomes and A genomes. Gene loss mainly occurs through pseudogenization or physical loss through gene deletion, resulting in a smaller genome size (Rong et al. 2010). Hence, it is most likely that such events occurred in the common ancestor of species that share the event. It has also been observed that cotton have the highest number of CNGC genes (112) than other plants, such as 20 in Arabidopsis, 16 in rice, and 12 in maize.
CNGC genes are distributed in various chromosomes in all three cotton genomes. In the tetraploid cotton G. hirsutum, genes are unevenly distributed in the chromosomes, only 19 out of 26 chromosomes harbored CNGC genes. A genome chromosomes harbore the CNGC genes except for Ah02 and Ah09. A similar pattern has been observed in D genome chromosomes, only two chromosomes Dh06 and Dh08 harbore none of the CNGC gene. Similar observations have been noted in several genome-wide studies in cotton, such as the GH3 gene (Kirungu et al. 2019), the AHL gene family (Zhao et al. 2020), and the trihelix gene (Magwanga et al. 2019a). The phylogenetic tree analysis comprises 199 CNGCs genes including GhCNGCs, GaCNGCs, GrCNGCs, AtCNGCs, ThecCNGCs, LOCCNGCs, and ZMCNGCs. The cotton CNGC genes cluster into five groups (I, II, III, IVa, and IVb), with clade II forming orthologous pairs between the cotton gene family members, suggesting a closer relationship between the orthologs of CNGC genes from At-A or Dt-D in cotton. Proteins are found to be located in various subcellular structures, namely endoplasmic reticulum (E.R.), cytoplasm (Cyto), mitochondrion (Mito), nucleus (nucl), plasma membrane (plas), and vacuole (vacu). The majority of CNGC proteins are predicted to be located in the endoplasmic reticulum (E.R.), with 20 (36.4%), 11(37.9%), and 11(39.3%) of the CNGC proteins are obtained from G. hirsutum, G. arboreum, and G. raimondii, respectively. Moreover, three cellular structures, including endoplasmic reticulum, nucleus, and plasma membrane, are found to harbor the highest number of cotton CNGC proteins. The results are in agreement with previous findings in which Arabidopsis CNGC19 are experimentally determined to be located in the plasma membrane (Meena et al. 2019). Furthermore, maize ZmCNGCs are located within the plasma membrane (Hao and Qiao 2018). While in wheat, two TaCNGCs (TaCNGC2/3B and TaCNGC11B) are localized in the chloroplast thylakoid membrane, TaCNGC15a/b/c are localized in the nucleus, and the rest of the TaCNGCs are either embedded in the plasma membrane or endoplasmic reticulum (Guo et al. 2018).
We have conducted RT-qPCR analysis to validate effects of drought and salt stresses on CNGC genes. Some of CNGC genes are highly regulated under all forms of stress factors. It has been observed that two genes Gh_A01G0520 (CNGC4) and Gh_D13G1974 (CNGC5) show higher expression levels under all stress conditions. The higher expression levels show the significant biological roles these genes could play in enhancing tolerance towards salt and drought stresses in the cotton plant. The rest of genes showed differential expression patterns. CNGC proteins are mainly associated with the uptake of essential and toxic cations, Ca2+ signaling, pathogen defense, and plant thermo-tolerance. They have also implicated in plant growth and development, including hormonal, abiotic, and biotic stress responses. To determine the functional role of CNGC genes, we have silenced Gh_A01G0520 (CNGC4) and Gh_D13G1974 (CNGC5) which are up-regulated under stress conditions by using a hydroponic system. At 7 days post inoculation, the TRV: PDS plants showed albino-like phenotypes on the first foliage leaves, indicating that the silencing was effective. The RT-qPCR analysis has then been performed to validate the effect of gene silencing. The two genes' expression levels are significantly reduced in the silenced plants than in the wild type plants under drought and salt stresses. The silencing of these genes compromises the ability of plants to tolerate the stresses imposed on them.
The morphological, physiological, and biochemical parameters were then analyzed. The VIGS-plants showed higher content of MDA and H2O2, and reduced content of proline and SOD. The increased oxidant enzyme activity showed that the VIGS-plants had higher levels of damage under oxidative stress than the WT and the positive control plants. The induction of salt and drought stress response in plants initiate the overproduction of reactive oxygen species (ROS), which leads to the destruction to plant cell structures and cellular components, and finally the apotosis. The higher levels of proline and MDA suggest that the silenced plants have a reduced ability to properly scavenge the ROS, leading to the destruction of cell membrane and reducing chlorophyll content. When plants are exposed to abiotic stresses, the delicate balance between production and elimination of ROS shifts, leading to the excessive accumulation of ROS within plant cell (Khan and Khan 2017). When ROS accumulates in plant cells, it causes extensive damage to plant cell due to oxidative stress. The CNGCs silenced plants are unable to mobilize the antioxidants has showed that the downregulation of the CNGC genes could have affected the antioxidant pathways. The root and shoot length was also significantly reduced in CNGCs silenced plants compared with WT, suggesting the compromised growth in both shoot and root, which leads to reduced plant biomass.
A total of 112 genes distribute across three genomes, 55 CNGC genes in G. hirsutum of AD genome, 28 CNGC genes in G. raimondii of D genome, and 29 CNGC genes in G. arboreum of A genome. Their GRAVY values are negative, indicating that the proteins were hydrophilic, which is the shared feature among the proteins encoded by several stress-responsive genes. The majority of CNGC proteins are predicted to be located in the endoplasmic reticulum (E.R.), nucleus, and plasma membrane. These structures play a significant role in the cell. Introns are found in all CNGC genes except for the two genes located in the scaffold region Gh_Sca105683G01 and Gh_Sca123328G01. The RT-qPCR analysis has revealed that two genes, Gh_A01G0520 (CNGC4) and Gh_D13G1974 (CNGC5) show higher expression levels under all stress conditions. The two genes are then silenced through VIGS, and cause higher concentrations of MDA and H2O2, and reduced content of proline and SOD. This study provides preliminary analysis on the role of CNGC genes in enhancing abiotic stress tolerance in plants.
Availability of data and materials
All data generated or analyzed during this study are included in this published article and its supplementary information files.
Batista-Silva W, Heinemann B, Rugen N, et al. The role of amino acid metabolism during abiotic stress release. Plant Cell Environ. 2019;42:1630–44. https://doi.org/10.1111/pce.13518.
Bodén M, Hawkins J. Prediction of subcellular localization using sequence-biased recurrent networks. Bioinformatics. 2005;21:2279–86. https://doi.org/10.1093/bioinformatics/bti372.
Broderick SR, Jones ML. An optimized protocol to increase virus-induced gene silencing efficiency and minimize viral symptoms in Petunia. Plant Mol Biol Report. 2014;32:219–33. https://doi.org/10.1007/s11105-013-0647-3.
Chen J, Yin H, Gu J, et al. Genomic characterization, phylogenetic comparison and differential expression of the cyclic nucleotide-gated channels gene family in pear (Pyrus bretchneideri Rehd.). Genomics. 2015;105:39–52. https://doi.org/10.1016/j.ygeno.2014.11.006.
Cui Y, Lu S, Li Z, et al. CYCLIC NUCLEOTIDE-GATED ION CHANNELs 14 and 16 promote tolerance to heat and chilling in rice. Plant Physiol. 2020;183:1794–808. https://doi.org/10.1104/pp.20.00591.
Guo J, Islam MA, Lin H, et al. Genome-wide identification of cyclic nucleotide-gated ion channel gene family in wheat and functional analyses of TaCNGC14 and TaCNGC16. Front Plant Sci. 2018;9:18. https://doi.org/10.3389/fpls.2018.00018.
Hao L, Qiao X. Genome-wide identification and analysis of the CNGC gene family in maize. PeerJ. 2018;6:e5816. https://doi.org/10.7717/peerj.5816.
Higgins DG, Thompson JD, Gibson TJ.  Using CLUSTAL for multiple sequence alignments. Methods Enzymol. 1996;26:383–402.
Jing H, Li C, Ma F, et al. Genome-wide identification, expression diversication of dehydrin gene family and characterization of CaDHN3 in pepper (Capsicum annuum L.). PLoS One. 2016;11(8):e0161073. https://doi.org/10.1371/journal.pone.0161073.
Kakar KU, Nawaz Z, Kakar K, et al. Comprehensive genomic analysis of the CNGC gene family in Brassica oleracea: novel insights into synteny, structures, and transcript profiles. BMC Genomics. 2017;18(1):869. https://doi.org/10.1186/s12864-017-4244-y.
Khan MIR, Khan NA. Reactive oxygen species and antioxidant systems in plants: role and regulation under abiotic stress. Singapore: Springer; 2017. https://doi.org/10.1007/978-981-10-5254-5.
Kirungu JN, Magwanga RO, Lu P, et al. Functional characterization of Gh-A08G1120 (GH3.5) gene reveal their significant role in enhancing drought and salt stress tolerance in cotton. BMC Genet. 2019;20. https://doi.org/10.1186/s12863-019-0756-6.
Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33:1870–4. https://doi.org/10.1093/molbev/msw054.
Li F, Fan G, Wang K, et al. Genome sequence of the cultivated cotton Gossypium arboreum. Nat Genet. 2014;46:567–72. https://doi.org/10.1038/ng.2987.
Li J, Yang Y, Sun K, et al. Exogenous melatonin enhances cold, salt and drought stress tolerance by improving antioxidant defense in tea plant (Camellia sinensis (L.) O. Kuntze). Molecules. 2019b;24:1826. https://doi.org/10.3390/molecules24091826.
Lin L, Pierce GJ, Bowers JE, et al. A draft physical map of a D-genome cotton species (Gossypium raimondii). BMC Genomics. 2010;11:395. https://doi.org/10.1186/1471-2164-11-395.
Li Q, Yang S, Ren J, et al. Genome-wide identification and functional analysis of the cyclic nucleotide-gated channel gene family in Chinese cabbage. 3 Biotech. 2019a;9:114. https://doi.org/10.1007/s13205-019-1647-2.
Ma W, Yoshioka K, Gehring C, Berkowitz GA. The function of cyclic nucleotide-gated channels in biotic stress. In: Demidchik V, Maathuis F, editors. Ion channels and plant stress responses. Signaling and communication in plants. Berlin, Heidelberg: Springer; 2010. p. 159–74. https://doi.org/10.1007/978-3-642-10494-7_8.
Magwanga RO, Kirungu JN, Lu P, et al. Genome wide identification of the trihelix transcription factors and overexpression of Gh_A05G2067 (GT-2), a novel gene contributing to increased drought and salt stresses tolerance in cotton. Physiol Plant. 2019a;167:447–64. https://doi.org/10.1111/ppl.12920.
Magwanga RO, Lu P, Kirungu JN, et al. Identification of QTLs and candidate genes for physiological traits associated with drought tolerance in cotton. J Cotton Res. 2020;3:3. https://doi.org/10.1186/s42397-020-0043-0.
Magwanga RO, Lu P, Kirungu JN, et al. GBS mapping and analysis of genes conserved between Gossypium tomentosum and Gossypium hirsutum cotton cultivars that respond to drought stress at the seedling stage of the BC2F2 generation. Int J Mol Sci. 2018;19:1614. https://doi.org/10.3390/ijms19061614.
Magwanga RO, Lu P, Kirungu JN, et al. Knockdown of cytochrome P450 genes Gh_D07G1197 and Gh_A13G2057 on chromosomes D07 and A13 reveals their putative role in enhancing drought and salt stress tolerance in Gossypium hirsutum. Genes. 2019b;10:226. https://doi.org/10.3390/genes10030226.
Meena MK, Prajapati R, Krishna D, et al. The Ca2+ channel CNGC19 regulates Arabidopsis defense against Spodoptera Herbivory. The Plant Cell. 2019;31:1539–62. https://doi.org/10.1105/tpc.19.00057.
Nawaz Z, Kakar KU, Saand MA, Shu QY. Cyclic nucleotide-gated ion channel gene family in rice, identification, characterization and experimental analysis of expression response to plant hormones, biotic and abiotic stresses. BMC Genomics. 2014;15(1):853. https://doi.org/10.1186/1471-2164-15-853.
Nawaz Z, Kakar KU, Ullah R, et al. Genome-wide identification, evolution and expression analysis of cyclic nucleotide-gated channels in tobacco (Nicotiana tabacum L.). Genomics. 2019;111:142–58. https://doi.org/10.1016/j.ygeno.2018.01.010.
Rong J, Feltus FA, Liu L, et al. Gene copy number evolution during tetraploid cotton radiation. Heredity. 2010;105:463–72. https://doi.org/10.1038/hdy.2009.192.
Saand MA, Xu YP, Li W, et al. Cyclic nucleotide gated channel gene family in tomato: genome-wide identification and functional analyses in disease resistance. Front Plant Sci. 2015;6:303. https://doi.org/10.3389/fpls.2015.00303.
Soltys-Kalina D, Plich J, Strzelczyk-Żyta D, et al. The effect of drought stress on the leaf relative water content and tuber yield of a half-sib family of ‘Katahdin’-derived potato cultivars. Breed Sci. 2016;66:328–31. https://doi.org/10.1270/jsbbs.66.328.
Thyavihalli Girijappa YG, Mavinkere Rangappa S, Parameswaranpillai J, Siengchin S. Natural fibers as sustainable and renewable resource for development of eco-friendly composites: a comprehensive review. Front Mater. 2019;6:226. https://doi.org/10.3389/fmats.2019.00226.
Verma V, Ravindran P, Kumar PP. Plant hormone-mediated regulation of stress responses. BMC Plant Biol. 2016;16:86. https://doi.org/10.1186/s12870-016-0771-y.
Voorrips RE. MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered. 2002;93:77–8. https://doi.org/10.1093/jhered/93.1.77.
Xu H, Xu L, Yang P, et al. Virus-induced Phytoene Desaturase (PDS) gene silencing using tobacco rattle virus in Lilium × formolongi. Hortic Plant J. 2019b;5(1):31–8. https://doi.org/10.1016/j.hpj.2018.10.002.
Xu Y, Magwanga RO, Cai X, et al. Deep transcriptome analysis reveals reactive oxygen species (ROS) network evolution, response to abiotic stress, and regulation of fiber development in cotton. Int J Mol Sci. 2019a;20:1863. https://doi.org/10.3390/ijms20081863.
Yang X, Xu YC, Yang FF, et al. Genome-wide identification of OSCA gene family and their potential function in the regulation of dehydration and salt stress in Gossypium hirsutum. J Cotton Res. 2019;2:11. https://doi.org/10.1186/s42397-019-0028-z.
You M, Boersma JG, Buirchell BJ, et al. A PCR-based molecular marker applicable for marker-assisted selection for anthracnose disease resistance in lupin breeding. Cell Mol Biol Lett. 2005;10:123–34.
Yuen CYL, Christopher DA. The role of cyclic nucleotide-gated channels in cation nutrition and abiotic stress. In: Demidchik V, Maathuis F, editors. Ion channels and plant stress responses. Signaling and communication in plants. Berlin, Heidelberg: Springer; 2010. p. 137–57. https://doi.org/10.1007/978-3-642-10494-7_7.
Zhang T, Hu Y, Jiang W, et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L. acc. TM-1) provides a resource for fiber improvement. Nat Biotechnol. 2015;33:531–7. https://doi.org/10.1038/nbt.3207.
Zhao J, Gao Y, Zhang Z, et al. A receptor-like kinase gene (GbRLK) from Gossypium barbadense enhances salinity and drought-stress tolerance in Arabidopsis. BMC Plant Biol. 2013;13:110. https://doi.org/10.1186/1471-2229-13-110.
Zhao L, Lü Y, Chen W, et al. Genome-wide identification and analyses of the AHL gene family in cotton (Gossypium). BMC Genomics. 2020;21:1–14. https://doi.org/10.1186/s12864-019-6406-6.
Zhu JK. Abiotic stress signaling and responses in plants. Cell. 2016;167:313–24. https://doi.org/10.1016/j.cell.2016.08.029.
The authors would wish to sincerely thank the students, laboratory staff and mentors for their valuable contributions in the entire process of the research work.
This research was funded by the National Natural Science Foundation of China (31621005, 32072023), National Key R&D Program of China ((2021YFE0101200), and PSF/CRP/18thProtocol (07).
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The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
CNGC gene primers for RT-qPCR analysis.
Physicochemical properties of the CNGC genes in G. hirsutum, G. raimondii and G. arboretum.
GO analysis of the upland cotton, G. hirsutum CNGC genes.
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Kirungu, J.N., Magwanga, R.O., Shiraku, M.L. et al. Genome-wide identification and analysis of the CNGC gene family in upland cotton under multiple stress conditions. J Cotton Res 6, 17 (2023). https://doi.org/10.1186/s42397-023-00152-z