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在干旱胁迫下,水稻中特定基因群和途径的差异定量调控。

Differential quantitative regulation of specific gene groups and pathways under drought stress in rice.

机构信息

Interdisciplinary Centre for Plant Genomics & Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi -110021, India.

School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi - 110067, India.

出版信息

Genomics. 2019 Dec;111(6):1699-1712. doi: 10.1016/j.ygeno.2018.11.024. Epub 2018 Nov 26.

Abstract

Abiotic stresses like drought are detrimental for growth and development and lead to loss in crop production. To be able to adapt and survive under such adverse conditions, synchronous regulation of a rather large number of genes is required. Here, we have used a bioinformatics approach to identify gene groups and associated pathways from microarray and RNA-seq experiments that are restricted in their gene expression amplitude within fold change intervals (FCI) under drought stress conditions. We find that the expression of genes as functional groups is coordinated quantitatively, in a fold change specific manner, and differs among three rice cultivars distinct in their drought stress response. By networking these groups and further categorization into components like ubiquitin proteasome system, we identify relatively less studied E2 ubiquitin conjugating enzyme coding genes as an important constituent of differential drought stress response in rice. By extending this approach to find hexamer DNA motifs in the upstream promoter regions of genes within the FCIs under stress, we find that genes with strong to very strong or a moderate expression under stress are coordinated through cis-regulatory motifs. Few of these, such as TSO1, L-Box, PE1, GT binding site, ABRE/G-box or AP2/ERF binding site can be candidate cis-regulatory motifs to coordinate fold change limited gene expression under drought stress. This work thus provides an insight into a quantitative regulation of gene expression under drought stress in rice and a useful resource for designing approaches towards coordinating the expression of identified candidate genes under stress in order to achieve drought tolerance in rice.

摘要

非生物胁迫,如干旱,对植物的生长和发育有害,并导致作物产量损失。为了能够在这种不利条件下适应和生存,需要同步调节相当数量的基因。在这里,我们使用了一种生物信息学方法,从微阵列和 RNA-seq 实验中识别出基因组和相关途径,这些基因在干旱胁迫条件下的基因表达幅度限制在折叠变化区间 (FCI) 内。我们发现,作为功能组的基因表达在数量上是协调的,以特定的折叠变化方式,并且在三种对干旱胁迫反应不同的水稻品种中存在差异。通过将这些基因组进行网络构建,并进一步分类为泛素蛋白酶体系统等组成部分,我们确定相对较少研究的 E2 泛素连接酶编码基因是水稻中差异干旱胁迫反应的重要组成部分。通过将这种方法扩展到寻找应激下 FCI 内基因上游启动子区域的六聚体 DNA 基序,我们发现应激下强到非常强或中等表达的基因通过顺式调控基序进行协调。其中一些,如 TSO1、L-Box、PE1、GT 结合位点、ABRE/G-box 或 AP2/ERF 结合位点,可以成为协调干旱胁迫下基因表达的顺式调控基序的候选者。这项工作因此提供了对水稻干旱胁迫下基因表达的定量调控的深入了解,并为设计在胁迫下协调鉴定的候选基因表达的方法提供了有用的资源,以实现水稻的耐旱性。

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