Bano Nasreen, Fakhrah Shafquat, Mohanty Chandra Sekhar, Bag Sumit Kumar
CSIR-National Botanical Research Institute (CSIR-NBRI), Lucknow, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
Front Plant Sci. 2022 Apr 25;13:818472. doi: 10.3389/fpls.2022.818472. eCollection 2022.
Abiotic stress tolerance is an intricate feature controlled through several genes and networks in the plant system. In abiotic stress, salt, and drought are well known to limit cotton productivity. Transcriptomics meta-analysis has arisen as a robust method to unravel the stress-responsive molecular network in crops. In order to understand drought and salt stress tolerance mechanisms, a meta-analysis of transcriptome studies is crucial. To confront these issues, here, we have given details of genes and networks associated with significant differential expression in response to salt and drought stress. The key regulatory hub genes of drought and salt stress conditions have notable associations with functional drought and salt stress-responsive (DSSR) genes. In the network study, nodulation signaling pathways 2 (, Dehydration-responsive element1 D (), ethylene response factor (), cycling DOF factor 1 (), and tubby like protein 3 () genes in drought and tubby like protein 1 (), thaumatin-like proteins (), ethylene-responsive transcription factor ERF109 (), ETS-Related transcription Factor (), and homeodomain leucine-zipper gene () genes in salt showed the significant putative functions and pathways related to providing tolerance against drought and salt stress conditions along with the significant expression values. These outcomes provide potential candidate genes for further in-depth functional studies in cotton, which could be useful for the selection of an improved genotype of against drought and salt stress conditions.
非生物胁迫耐受性是植物系统中由多个基因和网络控制的复杂特性。在非生物胁迫中,盐和干旱众所周知会限制棉花产量。转录组学荟萃分析已成为揭示作物胁迫响应分子网络的一种强大方法。为了了解干旱和盐胁迫耐受机制,对转录组研究进行荟萃分析至关重要。为应对这些问题,在此我们详细介绍了与盐和干旱胁迫响应中显著差异表达相关的基因和网络。干旱和盐胁迫条件下的关键调控枢纽基因与功能性干旱和盐胁迫响应(DSSR)基因有显著关联。在网络研究中,干旱条件下的结瘤信号通路2()、脱水响应元件1 D()、乙烯响应因子()、循环DOF因子1()和类桶状蛋白3()基因,以及盐条件下的类桶状蛋白1()、类甜蛋白()、乙烯响应转录因子ERF109()、ETS相关转录因子()和同源域亮氨酸拉链基因()基因显示出与提供抗旱和耐盐胁迫条件相关的显著推定功能和途径以及显著的表达值。这些结果为棉花进一步深入的功能研究提供了潜在的候选基因,这可能有助于选择抗干旱和盐胁迫条件的改良基因型。