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通过转录组荟萃分析鉴定与耐水稻基因型非生物胁迫响应相关的基因网络模块。

Gene network modules associated with abiotic stress response in tolerant rice genotypes identified by transcriptome meta-analysis.

机构信息

ICAR-National Bureau of Plant Genetic Resources, Indian Agricultural Research Institute Campus, New Delhi, 110012, India.

Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India.

出版信息

Funct Integr Genomics. 2020 Jan;20(1):29-49. doi: 10.1007/s10142-019-00697-w. Epub 2019 Jul 8.

Abstract

Abiotic stress tolerance is a complex trait regulated by multiple genes and gene networks in plants. A range of abiotic stresses are known to limit rice productivity. Meta-transcriptomics has emerged as a powerful approach to decipher stress-associated molecular network in model crops. However, retaining specificity of gene expression in tolerant and susceptible genotypes during meta-transcriptome analysis is important for understanding genotype-dependent stress tolerance mechanisms. Addressing this aspect, we describe here "abiotic stress tolerant" (ASTR) genes and networks specifically and differentially expressing in tolerant rice genotypes in response to different abiotic stress conditions. We identified 6,956 ASTR genes, key hub regulatory genes, transcription factors, and functional modules having significant association with abiotic stress-related ontologies and cis-motifs. Out of the 6956 ASTR genes, 73 were co-located within the boundary of previously identified abiotic stress trait-related quantitative trait loci. Functional annotation of 14 uncharacterized ASTR genes is proposed using multiple computational methods. Around 65% of the top ASTR genes were found to be differentially expressed in at least one of the tolerant genotypes under different stress conditions (cold, salt, drought, or heat) from publicly available RNAseq data comparison. The candidate ASTR genes specifically associated with tolerance could be utilized for engineering rice and possibly other crops for broad-spectrum tolerance to abiotic stresses.

摘要

非生物胁迫耐受性是植物中由多个基因和基因网络调控的复杂性状。一系列非生物胁迫被认为限制了水稻的生产力。元转录组学已成为解析模式作物中与胁迫相关的分子网络的强大方法。然而,在元转录组分析中保留耐受和敏感基因型中基因表达的特异性对于理解依赖基因型的胁迫耐受性机制很重要。为了解决这一方面的问题,我们在这里描述了在不同非生物胁迫条件下,对耐受水稻基因型特异性和差异表达的“非生物胁迫耐受”(ASTR)基因和网络。我们鉴定了 6956 个 ASTR 基因,这些基因与非生物胁迫相关的本体论和顺式基序具有显著关联,其中包括关键的调控基因、转录因子和功能模块。在 6956 个 ASTR 基因中,有 73 个基因位于先前鉴定的非生物胁迫性状相关数量性状位点的边界内。使用多种计算方法对 14 个未表征的 ASTR 基因进行了功能注释。大约 65%的顶级 ASTR 基因在至少一种耐受基因型下,在不同的胁迫条件(冷、盐、干旱或热)下的公开 RNAseq 数据比较中表现出差异表达。与耐受性特异性相关的候选 ASTR 基因可用于工程水稻,并且可能用于其他作物对多种非生物胁迫的广谱耐受性。

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