2023
DOI: 10.1016/j.cpb.2023.100274
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Integrated transcriptomics and metabolomics analyses provide insights into salt-stress response in germination and seedling stage of wheat (Triticum aestivum L.)

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Cited by 6 publications
(3 citation statements)
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“…Metabolomics analysis is an effective method for studying plant metabolites. In previous studies, the mechanisms underlying the responses of soybean [43], wheat [44], tomato [45] to Saline-Alkali stress have been investigated using metabolomics. In the present study, a broad-targeted metabolomics approach was employed to determine metabolites present in five stages of jujube fruit development under conditions of lowsalinity stress, high-salinity stress, and no stress.…”
Section: Discussionmentioning
confidence: 99%
“…Metabolomics analysis is an effective method for studying plant metabolites. In previous studies, the mechanisms underlying the responses of soybean [43], wheat [44], tomato [45] to Saline-Alkali stress have been investigated using metabolomics. In the present study, a broad-targeted metabolomics approach was employed to determine metabolites present in five stages of jujube fruit development under conditions of lowsalinity stress, high-salinity stress, and no stress.…”
Section: Discussionmentioning
confidence: 99%
“…RNA-seq can be used to analyze the mechanisms of drought, salt, and cold tolerance, and also to uncover the role of lncRNA and the identification of candidate genes [23,24,26,[28][29][30].…”
Section: Discussionmentioning
confidence: 99%
“…193 showed that 5829 genes were differentially expressed in the roots, whereas 3495 genes were identified in the shoots, of which eight DEGs were validated [ 11 ]. Moreover, RNA-Seq data from other salt-tolerant germplasm, such as the Chinese cultivars Qingmai 6 [ 12 ], Xiaoyan 60 [ 13 ], Jimai 22 [ 14 ], and Cangmai 6005 [ 15 ], as well as Iranian cultivar Arg [ 16 ], also revealed many DEGs responding to salt stress, helping to further identify salt-tolerance genes in wheat. However, most of the previously reported RNA-Seq analyses have been based solely on DEGs and use simple qRT-PCR to validate candidate genes, which cannot uncover more useful information.…”
Section: Introductionmentioning
confidence: 99%