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Meta-QTL和直系同源分析揭示了水稻苗期耐冷性的遗传结构和关键候选基因。

Meta-QTL and ortho analysis unravels the genetic architecture and key candidate genes for cold tolerance at seedling stage in rice.

作者信息

Kumari Anita, Sharma Priya, Rani Mamta, Laxmi Vijay, Sahi Chandan, Satturu Vanisree, Katiyar-Agarwal Surekha, Agarwal Manu

机构信息

Department of Botany, University of Delhi, Delhi, India.

Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, Madhya Pradesh 462066 India.

出版信息

Physiol Mol Biol Plants. 2024 Jan;30(1):93-108. doi: 10.1007/s12298-024-01412-1. Epub 2024 Feb 2.

Abstract

UNLABELLED

Rice, a critical cereal crop, grapples with productivity challenges due to its inherent sensitivity to low temperatures, primarily during the seedling and booting stages. Recognizing the polygenic complexity of cold stress signaling in rice, a meta-analysis was undertaken, focusing on 20 physiological traits integral to cold tolerance. This initiative allowed the consolidation of genetic data from 242 QTLs into 58 meta-QTLs, thereby significantly constricting the genetic and physical intervals, with 84% of meta-QTLs (MQTLs) being reduced to less than 2 Mb. The list of 10,505 genes within these MQTLs, was further refined utilizing expression datasets to pinpoint 46 pivotal genes exhibiting noteworthy differential regulation during cold stress. The study underscored the presence of several TFs such as WRKY, NAC, CBF/DREB, MYB, and bHLH, known for their roles in cold stress response. Further, ortho-analysis involving maize, barley, and identified OsWRKY71, among others, as a prospective candidate for enhancing cold tolerance in diverse crop plants. In conclusion, our study delineates the intricate genetic architecture underpinning cold tolerance in rice and propounds significant candidate genes, offering crucial insights for further research and breeding strategies focused on fortifying crops against cold stress, thereby bolstering global food resilience.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s12298-024-01412-1.

摘要

未标注

水稻是一种关键的谷类作物,由于其对低温具有内在敏感性,主要在幼苗期和孕穗期面临生产力挑战。认识到水稻冷胁迫信号传导的多基因复杂性,开展了一项荟萃分析,重点关注20个与耐冷性相关的生理性状。该举措将来自242个QTL的遗传数据整合为58个元QTL,从而显著缩小了遗传和物理区间,84%的元QTL(MQTL)缩小至小于2 Mb。利用表达数据集进一步优化了这些MQTL内的10505个基因列表,以确定46个在冷胁迫期间表现出显著差异调控的关键基因。该研究强调了几种转录因子的存在,如WRKY、NAC、CBF/DREB、MYB和bHLH,它们在冷胁迫反应中发挥作用。此外,涉及玉米、大麦的直系同源分析以及其他研究确定了OsWRKY71等作为提高多种作物耐冷性的潜在候选基因。总之,我们的研究描绘了水稻耐冷性的复杂遗传结构,并提出了重要的候选基因,为进一步研究和育种策略提供了关键见解,这些策略旨在增强作物对冷胁迫的抗性,从而提高全球粮食抗逆性。

补充信息

在线版本包含可在10.1007/s12298-024-01412-1获取的补充材料。

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