Search

Drought stress significantly affects the growth, development, and yield of cotton, triggering the response of multiple genes. Among them, ascorbate peroxidase (APX) is one of the important antioxidant enzymes in the metabolism of reactive oxygen species in plants, and APX enhances the ability of plants to resist oxidation, thus increasing plant stress tolerance. Therefore, enhancing the activity of APX in cells is crucial to improving plant stress resistance. Previous studies have isolated differentially expressed proteins under drought stress (GhAPX7) in drought-resistant (KK1543) and drought-sensitive (XLZ26) plants. Thus, this study analyzed the expression patterns of GhAPX7 in different cotton tissues to verify the drought resistance function of GhAPX7 and explore its regulatory pathways. GhAPX7 had the highest expression in cotton leaves, which significantly increased under drought stress, suggesting that GhAPX7 is essential for improving antioxidant capacity and enzyme activities in cotton. GhAPX7 silencing indirectly affects pronounced leaf yellowing and wilting in drought-resistant and drought-sensitive plants under drought stress. Malondialdehyde (MDA) content was significantly increased and chlorophyll and proline content and APX enzyme activity were generally decreased in silenced plants compared to the control. This result indicates that GhAPX7 may improve drought resistance by influencing the contents of MDA, chlorophyll, proline, and APX enzyme activity through increased expression levels. Transcriptome analysis revealed that the drought-related differentially expressed genes between the control and treated groups enriched plant hormone signal transduction, MAPK signaling, and plant–pathogen interaction pathways. Therefore, the decreased expression of GhAPX7 significantly affects the expression levels of genes in these three pathways, reducing drought resistance in plants. This study provides insights into the molecular mechanisms of GhAPX7 and its role in drought resistance and lays a foundation for further research on the molecular mechanisms of response to drought stress in cotton. [ABSTRACT FROM AUTHOR]

Background: Focusing on key indicators of drought resistance is highly important for quickly mining candidate genes related to drought resistance in cotton. Results: In the present study, drought resistance was identified in drought resistance-related RIL populations during the flowering and boll stages, and multiple traits were evaluated; these traits included three key indicators: plant height (PH), single boll weight (SBW) and transpiration rate (Tr). Based on these three key indicators, three groups of extreme mixing pools were constructed for BSA-seq. Based on the mapping interval of each trait, a total of 6.27 Mb QTL intervals were selected on chromosomes A13 (3.2 Mb), A10 (2.45 Mb) and A07 (0.62 Mb) as the focus of this study. Based on the annotation information and qRT‒PCR analysis, three key genes that may be involved in the drought stress response of cotton were screened: GhF6'H1, Gh3AT1 and GhPER55. qRT‒PCR analysis of parental and extreme germplasm materials revealed that the expression of these genes changed significantly under drought stress. Cotton VIGS experiments verified the important impact of key genes on cotton drought resistance. Conclusions: This study focused on the key indicators of drought resistance, laying the foundation for the rapid mining of drought-resistant candidate genes in cotton and providing genetic resources for directed molecular breeding of drought resistance in cotton. [ABSTRACT FROM AUTHOR]

Sulfotransferases (SOTs) (EC 2.8.2.-) are sulfate regulatory proteins in a variety of organisms that have been previously shown to be involved in regulating a variety of physiological and biological processes, such as growth, development, adaptation to land, stomatal closure, drought tolerance, and response to pathogen infection. However, there is a lack of comprehensive identification and systematic analysis of SOT in cotton, especially in G. barbadense. In this study, we used bioinformatics methods to analyze the structural characteristics, phylogenetic relationships, gene structure, expression patterns, evolutionary relationships, selection pressure and stress response of SOT gene family members in G. barbadense. In this study, a total of 241 SOT genes were identified in four cotton species, among which 74 SOT gene members were found in G. barbadense. According to the phylogenetic tree, 241 SOT protein sequences were divided into five distinct subfamilies. We also mapped the physical locations of these genes on chromosomes and visualized the structural information of SOT genes in G. barbadense. We also predicted the cis-acting elements of the SOT gene in G. barbadense, and we identified the repetitive types and collinearity analysis of SOT genes in four cotton species. We calculated the Ka/Ks ratio between homologous gene pairs to elucidate the selective pressure between SOT genes. Transcriptome data were used to explore the expression patterns of SOT genes, and then qRT-PCR was used to detect the expression patterns of GBSOT4, GBSOT17 and GBSOT33 under FOV stress. WGCNA (weighted gene co-expression network analysis) showed that GB_A01G0479 (GBSOT4) belonged to the MEblue module, which may regulate the resistance mechanism of G. barbadense to FOV through plant hormones, signal transduction and glutathione metabolism. In addition, we conducted a VIGS (virus-induced gene silencing) experiment on GBSOT4, and the results showed that after FOV inoculation, the plants with a silenced target gene had more serious leaf wilting, drying and cracking than the control group, and the disease index of the plants with the silenced target gene was significantly higher than that of the control group. This suggests that GBSOT4 may be involved in protecting the production of G. barbadense from FOV infection. Subsequent metabolomics analysis showed that some flavonoid metabolites, such as Eupatorin-5-methylether (3′-hydroxy-5,6,7,4′-tetramethoxyflavone, were accumulated in cotton plants in response to FOV infection. [ABSTRACT FROM AUTHOR]

Protein palmitoylation is an ability of the frame of the cell marker protein is one of the most notable reversible changes after translation. However, studies on protein palmitoylation in cotton have not yet been performed. In our current research, the PAT gene family was systematically identified and bioinformatically analyzed in G. arboreum, G. raimondii, G. barbadense and G. hirsutum, and 211 PAT genes were authenticated and classified into six subfamilies. Sixty-nine PAT genes were identified in upland cotton, mainly at the ends of its the 26 chromosomes of upland cotton. The majority of these genes are located in the nucleus of the plant. Gene structure analysis revealed that each member encodes a protein that which contains at least one DHHC structural domain. Cis-acting element analysis indicated that GhPATs genes are mainly involved in hormone production, light response and stress response. Gene expression pattern analysis indicated that most GhPATs genes were differentially expressed upon induction by pathogenic bacteria, drought, salt, hot and cold stresses, and some GhPATs could be induced by multiple abiotic stresses simultaneously. GhPATs genes showed different expression patterns in tissue-specific assays and were found to be preferentially expressed in roots, followed by expression in stems and leaves. Virus-induced gene silencing (VIGS) experiments showed that cotton was significantly less resistant to Verticillium dahliae when GhPAT27 was silenced. We conclude that the GhPAT27 gene, which mediates S-palmitoylation acetylation, may be involved in the regulation of upland cotton resistance to Verticillium wilt (VW). Overall, this work has provided a fundamental framework for understanding the latent capabilities of GhPATs and a solid foundation for molecular breeding and plant pathogen resistance in cotton. [ABSTRACT FROM AUTHOR]

Worldwide, Verticillium wilt is among the major harmful diseases in cotton production, causing substantial reduction in yields. While this disease has been extensively researched at the molecular level of the pathogen, the molecular basis of V. dahliae host response association is yet to be thoroughly investigated. In this study, RNA-seq analysis was carried out on V. dahliae infected two Gossypium hirsutum L. cultivars, Xinluzao-36 (susceptible) and Zhongzhimian-2 (disease resistant) for 0 h, 24 h, 72 h and 120 h time intervals. Statistical analysis revealed that V. dahliae infection elicited differentially expressed gene responses in the two cotton varieties, but more intensely in the susceptible cultivar than in the resistant cultivars. Data analysis revealed 4241 differentially expressed genes (DEGs) in the LT variety across the three treatment timepoints whereas 7657 in differentially expressed genes (DEGs) in the Vd592 variety across the three treatment timepoints. Six genes were randomly selected for qPCR validation of the RNA-Seq data. Numerous genes encompassed in disease resistance and defense mechanisms were identified. Further, RNA-Seq dataset was utilized in construction of the weighted gene co-expression network and 11 hub genes were identified, that encode for different proteins associated with lignin and immune response, Auxin response factor, cell wall and vascular development, microtubule, Ascorbate transporter, Serine/threonine kinase and Immunity and drought were identified. This significant research will aid in advancing crucial knowledge on virus-host interactions and identify key genes intricate in G. hirsutum L. resistance to V. dahliae infection. [ABSTRACT FROM AUTHOR]

Drought is one of the main abiotic stresses that seriously influences cotton production. Many indicators can be used to evaluate cotton drought tolerance, but the key indicators remain to be determined. The objective of this study was to identify effective cotton drought tolerance indicators from 19 indices, including morphology, photosynthesis, physiology, and yield-related indices, and to evaluate the yield potential of 104 cotton varieties under both normal and drought-stress field conditions. Combined with principal component analysis (PCA) and a regression analysis method, the results showed that the top five PCs among the 19, with eigenvalues > 1, contributed 65.52, 63.59, and 65.90% of the total variability during 2016 to 2018, respectively, which included plant height (PH), effective fruit branch number (EFBN), single boll weight (SBW), transpiration rate (Tr) and chlorophyll (Chl). Therefore, the indicator dimension decreased from 19 to 5. A comparison of the 19 indicators with the 5 identified indicators through PCA and a combined regression analysis found that the results of the final cluster of drought tolerance on 104 cotton varieties were basically consistent. The results indicated that these five traits could be used in combination to screen cotton varieties or lines for drought tolerance in cotton breeding programs, and Zhong R2016 and Xin lu zao 45 exhibited high drought tolerance and can be selected as superior parents for good yield performance under drought stress. [ABSTRACT FROM AUTHOR]

In this study, 12 upland cotton seedlings were used as the material, and four treatments were designed (15% PEG for 6 h, 250 mM NaCl for 3 h, 15% PEG for 6 h after 250 mM NaCl pretreatment, and blank control). Various physiological indicators, including the malondialdehyde (MDA) and proline (Pro) contents and superoxide dismutase (SOD) and peroxidase (POD) activities, and the relative electrolyte leakage (REL), were measured during exposure to the aforementioned stresses, and three stress-related transcription factors (GhHsfA, GhbZIP, and GhNAC) were used to assess the differences in the drought resistance of cotton during exposure to PEG stress and NaCl/PEG combined stress. The analyses of the physiological and biochemical indicators revealed that the cotton seedlings exposed to NaCl/PEG combined stress exhibited the highest relative changes in the SOD and POD enzyme activities, while the relative changes in the MDA content and REL were relatively small. The cluster analysis showed that the treatments could be ranked as follows based on degree of damage exhibited by the exposed cotton seedlings: PEG > NaCl > NaCl/PEG. The exposure of cotton to NaCl/PEG combined stress resulted in a lower degree of damage than that obtained after exposure to PEG alone, which indicated that an appropriate amount of NaCl could partially relieve the adverse effects of drought on cotton seedlings. In addition, the relative expression levels of GhHsfA, GhbZIP, and GhNAC were significantly correlated with multiple physiological and biochemical indicators under different stresses, and the principal component analysis identified these transcription factors as important indicators. Based on these findings, these three transcription factors can be used as molecular indicators for the identification of drought resistance. A comprehensive D value cluster analysis ranked the 12 cotton varieties based on their drought resistance, and the most drought-resistant variety was ND359-5. This study provides new methods and materials for research on drought resistance in cotton. [ABSTRACT FROM AUTHOR]

Cotton fibre yield and quality are markedly influenced by drought and high-temperature stress. We examined the traits of the leaf stomata in 39 cotton genotypes subjected to exogenous phytohormone abscisic acid (ABA) signalling, electrolyte leakage under 40°C thermal stress, and relative GhHsfA, GhbZIP and GhHSP70 expression levels under two treatments. Stomatal density and area ranged from 66 to 182/mm2 and 663 to 1305 μm2, respectively. Under exogenous ABA signalling, the changes in stomatal aperture (ΔSAp) were in the range of 2.5–31.2%; ΔSAp and relative GhHsfA, GhbZIP and GhHSP70 expression levels were significantly correlated, respectively. Electrolyte leakage increased unequally among cotton genotypes after heat stress. The changes in electrolyte leakage (ΔEL) and relative GhHsfA, GhbZIP and GhHSP70 expression levels were very strongly correlated, respectively. Their relative expression levels could be used as references for the rapid identification of stress-tolerant cotton strains. Cluster analysis of the 39 cotton genotypes indicated that Xinluzao36, Shiyang1, shinong98-7 and Zhongmiansuo293 are heat- and drought-resistant. We integrated both analysis of physiological parameters and molecular methods to identify cotton varieties with the drought and heat tolerance, in order to provide a reference for the selection of materials and methods for the research and production of cotton. [ABSTRACT FROM AUTHOR]

Plant-specific heat shock protein 70 s (HSP70s) play crucial roles in response to various environmental stimuli. GhHSP70-26, an HSP70 member, is involved in the response to multiple abiotic stresses in cotton (Gossypium hirsutum). This study explored the relationship between the genetic diversity of GhHSP70–26 and drought resistance in cotton to aid crop breeding. Indel sites at −650 bp upstream of the GhHSP70–26 promoter were discovered in cotton and designated an M-650 marker. The M-650 marker was significantly associated with the effective boll numbers (M-650-In360 > M-650-Del) in 110 types of cotton under drought stress conditions for three years. The relative expression levels of GhHSP70–26 was linearly correlated with comprehensive drought resistance in cotton seedlings. The gene expression levels were enhanced in BC 2 F 2 (pGhHSP70–26 In360 ) of cotton and the transgenic lines pGhHSP70–26 In360 :GhHSP70–26 of Arabidopsis , and drought resistance was also enhanced. After PEG, ABA and SA treatments, the transgenic lines of M-650-In360 promoter showed higher GUS expression activity than the M-650-del promoter in Arabidopsis. The GhFLZ, GhABF3, and GhRVE8 transcription factors could regulate to In360 bp of pGhHSP70–26 to activate high levels of gene expression. These results provide important genetic information to study the natural variation of drought tolerance in cotton, and the loci or exceptional promoters identified can be used as direct targets for cotton trait improvement and genetic engineering. [ABSTRACT FROM AUTHOR]

• The cotton cytoplasmic subgroup gene GhHSP70-26 is transcribed in response to polyethylene glycol and abscisic acid treatment and salt, cold, and heat stress. • Overexpression of the GhHSP70-26 gene in tobacco and silencing of the GhHSP70-26 gene in cotton showed that the GhHSP70-26 gene can improve plant tolerance to drought stress. • GhbZIP43 and GhHSF8 bind to cis -acting ABREs and HSEs, respectively, to regulate the transcription of GhHSP70-26 , and the GhHSP70-26 protein interacts with the GhAPX2 protein. The 70-kDa heat shock protein (HSP70) is a molecular chaperone that plays an important role in the response of plants to abiotic stress, but the function and molecular mechanism of HSP70 in the cotton drought stress response are unclear. In this study, the HSP70-encoding gene GhHSP70-26 , which belongs to the cytoplasmic HSP70 subgroup, was cloned from upland cotton (Gossypium hirsutum L.). The transcript level of GhHSP70-26 in cotton leaves was higher than that in cotton stems and roots. GhHSP70-26 was found to respond at the transcriptional level to polyethylene glycol (PEG) and abscisic acid (ABA) treatment and to cold, salt, and heat stress, and its transcript level was positively correlated with the drought resistance of different cotton varieties. Heterologous overexpression of the GhHSP70-26 gene improved the drought resistance of transgenic tobacco compared with that of wild-type (WT) tobacco, and the transgenic tobacco plants were characterized by low leaf wilting, high survival, low leaf water loss, increased root length and high chlorophyll content. Moreover, the transgenic tobacco plants overexpressing GhHSP70-26 had higher proline contents, higher superoxide dismutase (SOD) and peroxidase (POD) enzyme activities, and lower malondialdehyde (MDA) and reactive oxygen species (ROS) contents than the WT tobacco plants. The transcript levels of the stress response-related genes NtLEA , NtERD10D , NtPOD , NtSOD , and NtNCED3-1 in transgenic tobacco overexpressing GhHSP70-26 were significantly higher than those in WT tobacco. In contrast, under drought stress, unlike the results obtained with the pTRV2 empty vector (EV)-transformed and WT cotton plants, the use of virus-induced gene silencing (VIGS) technology to silence the GhHSP70-26 gene in cotton resulted in plants with severely wilted leaves, an increased water loss rate, a higher MDA content, and higher relative electrical conductivity (REC). Furthermore, yeast one-hybrid assays showed that GhbZIP43 and GhHSF8 bind to ABA-responsive elements (ABREs) and heat shock elements (HSEs) in the GhHSP70-26 promoter, respectively. Moreover, yeast two-hybrid, bimolecular fluorescence complementation and luciferase complementation assays showed that the GhHSP70-26 protein interacts with the ascorbate peroxidase (APX) GhAPX2 protein. These results indicate that by reducing the degrees of cell membrane damage and cellular damage caused by ROS stress, the GhHSP70-26 protein plays a positive role in the response of plants to drought stress. [ABSTRACT FROM AUTHOR]