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基于转录组学的方法分析两个不同水稻品种的抗旱响应信号网络。

Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach.

机构信息

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

Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi - 110021, India.

出版信息

Sci Rep. 2017 Feb 9;7:42131. doi: 10.1038/srep42131.

Abstract

Traditional cultivars of rice in India exhibit tolerance to drought stress due to their inherent genetic variations. Here we present comparative physiological and transcriptome analyses of two contrasting cultivars, drought tolerant Dhagaddeshi (DD) and susceptible IR20. Microarray analysis revealed several differentially expressed genes (DEGs) exclusively in DD as compared to IR20 seedlings exposed to 3 h drought stress. Physiologically, DD seedlings showed higher cell membrane stability and differential ABA accumulation in response to dehydration, coupled with rapid changes in gene expression. Detailed analyses of metabolic pathways enriched in expression data suggest interplay of ABA dependent along with secondary and redox metabolic networks that activate osmotic and detoxification signalling in DD. By co-localization of DEGs with QTLs from databases or published literature for physiological traits of DD and IR20, candidate genes were identified including those underlying major QTL qDTY in DD. Further, we identified previously uncharacterized genes from both DD and IR20 under drought conditions including OsWRKY51, OsVP1 and confirmed their expression by qPCR in multiple rice cultivars. OsFBK1 was also functionally validated in susceptible PB1 rice cultivar and Arabidopsis for providing drought tolerance. Some of the DEGs mapped to the known QTLs could thus, be of potential significance for marker-assisted breeding.

摘要

印度传统水稻品种由于其内在的遗传变异而表现出对干旱胁迫的耐受性。在这里,我们对两个具有对比性的品种,耐旱的 Dhagaddeshi(DD)和易感的 IR20 进行了比较生理和转录组分析。微阵列分析显示,与暴露于 3 小时干旱胁迫的 IR20 幼苗相比,DD 幼苗中存在许多特异性表达的基因(DEGs)。在生理上,DD 幼苗在脱水时表现出更高的细胞膜稳定性和不同的 ABA 积累,同时伴随着基因表达的快速变化。对表达数据中富集的代谢途径的详细分析表明,ABA 依赖性以及次级和氧化还原代谢网络相互作用,在 DD 中激活渗透和解毒信号。通过将 DEGs 与 DD 和 IR20 的数据库或已发表文献中与生理性状相关的 QTL 进行共定位,鉴定出候选基因,包括 DD 中主要 QTL qDTY 的基础基因。此外,我们还在 DD 和 IR20 下鉴定了以前在干旱条件下未被表征的基因,包括 OsWRKY51、OsVP1,并通过在多个水稻品种中的 qPCR 验证了它们的表达。OsFBK1 还在易感的 PB1 水稻品种和拟南芥中进行了功能验证,以提供耐旱性。因此,一些映射到已知 QTL 的 DEGs 可能对标记辅助育种具有潜在意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c07/5299611/e88b7814dcda/srep42131-f1.jpg

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