2021
DOI: 10.3389/fpls.2021.746771
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Multi-Omics-Based Identification and Functional Characterization of Gh_A06G1257 Proves Its Potential Role in Drought Stress Tolerance in Gossypium hirsutum

Abstract: Cotton is one of the most important fiber crops globally. Despite this, various abiotic stresses, including drought, cause yield losses. We used transcriptome profiles to investigate the co-expression patterns of gene networks associated with drought stress tolerance. We identified three gene modules containing 3,567 genes highly associated with drought stress tolerance. Within these modules, we identified 13 hub genes based on intramodular significance, for further validation. The yellow module has five hub g… Show more

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Cited by 15 publications
(5 citation statements)
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“…The seeds of three cotton species were obtained from the Institute of Cotton Research, Chinese Academy of Agricultural Sciences ( Mehari et al, 2021a ). The seeds were soaked in water overnight.…”
Section: Methodsmentioning
confidence: 99%
“…The seeds of three cotton species were obtained from the Institute of Cotton Research, Chinese Academy of Agricultural Sciences ( Mehari et al, 2021a ). The seeds were soaked in water overnight.…”
Section: Methodsmentioning
confidence: 99%
“…Multiple studies have been conducted on cotton based on its salt tolerance ability by utilizing quantitative trait loci (QTL) by linkage mapping and genome-wide association studies. Little work on the transcriptomic and metabolomic aspects has been conducted yet [56][57][58]. Several QTL or genes were discovered by scientists in previous studies on the salt tolerance mechanism of cotton [55,59,60].…”
Section: Discussionmentioning
confidence: 99%
“…The expression levels of four abiotic stress-responsive genes were explored for GhNAC072 by PCR using specific gene primers to further explore the function of GhNAC072 under conditions of exposure to drought and salinity stress in cotton. The four stress responsive genes include ABF4 , SOS1 , RAB18 , and RD22 [ 52 ]. Specific primers for these genes were designed using NCBI ( https://www.ncbi.nlm.nih.gov/ ) database (Table S 2 ).…”
Section: Methodsmentioning
confidence: 99%