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通过整合代谢 QTL 和 RNA-Seq 选择赋予水稻抗穗瘟和耐热性的候选基因。

Selection of Candidate Genes Conferring Blast Resistance and Heat Tolerance in Rice through Integration of Meta-QTLs and RNA-Seq.

机构信息

College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

出版信息

Genes (Basel). 2022 Jan 25;13(2):224. doi: 10.3390/genes13020224.

DOI:10.3390/genes13020224
PMID:35205268
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8871662/
Abstract

Due to global warming, high temperature is a significant environmental stress for rice production. Rice ( L.), one of the most crucial cereal crops, is also seriously devastated by . Therefore, it is essential to breed new rice cultivars with blast and heat tolerance. Although progress had been made in QTL mapping and RNA-seq analysis in rice in response to blast and heat stresses, there are few reports on simultaneously mining blast-resistant and heat-tolerant genes. In this study, we separately conducted meta-analysis of 839 blast-resistant and 308 heat-tolerant QTLs in rice. Consequently, 7054 genes were identified in 67 blast-resistant meta-QTLs with an average interval of 1.00 Mb. Likewise, 6425 genes were obtained in 40 heat-tolerant meta-QTLs with an average interval of 1.49 Mb. Additionally, using differentially expressed genes (DEGs) in the previous research and GO enrichment analysis, 55 DEGs were co-located on the common regions of 16 blast-resistant and 14 heat-tolerant meta-QTLs. Among, , , , , , , , and were the significant candidate genes to be further investigated. These results could provide the gene resources for rice breeding with excellent resistance to these 2 stresses, and help to understand how plants response to the combination stresses of blast fungus and high temperature.

摘要

由于全球变暖,高温是影响水稻生产的一个重要环境胁迫因素。水稻( L.)是最重要的谷类作物之一,也受到稻瘟病的严重破坏。因此,培育具有稻瘟病和耐热性的新水稻品种是至关重要的。尽管在稻瘟病和热胁迫响应的 QTL 作图和 RNA-seq 分析方面已经取得了进展,但很少有关于同时挖掘抗稻瘟病和耐热基因的报道。在本研究中,我们分别对 839 个抗稻瘟病和 308 个耐热性 QTL 进行了荟萃分析。结果在 67 个抗稻瘟病 meta-QTL 中鉴定出 7054 个基因,平均间隔为 1.00 Mb。同样,在 40 个耐热性 meta-QTL 中获得了 6425 个基因,平均间隔为 1.49 Mb。此外,利用先前研究中的差异表达基因(DEGs)和 GO 富集分析,在 16 个抗稻瘟病和 14 个耐热性 meta-QTL 的共同区域共定位了 55 个 DEGs。其中,、、、、、、、和 是进一步研究的重要候选基因。这些结果可为具有优异抗这两种胁迫的水稻品种培育提供基因资源,并有助于了解植物对稻瘟病菌和高温组合胁迫的响应机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46f3/8871662/cca5dab07444/genes-13-00224-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46f3/8871662/f2851d9468dd/genes-13-00224-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46f3/8871662/9217d64fd183/genes-13-00224-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46f3/8871662/cca5dab07444/genes-13-00224-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46f3/8871662/f2851d9468dd/genes-13-00224-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46f3/8871662/9217d64fd183/genes-13-00224-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46f3/8871662/cca5dab07444/genes-13-00224-g003.jpg

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