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时间顺序分析粳稻/籼稻基因组表明大型结构变异在水稻育种中的重要性。

Time-ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding.

机构信息

Rice Research Institute of Shenyang Agricultural University, Shenyang, China.

Sanya Research Institute of Chinese Academy of Tropical Agricultural Sciences, Sanya, China.

出版信息

Plant Biotechnol J. 2023 Jan;21(1):202-218. doi: 10.1111/pbi.13938. Epub 2022 Oct 21.

Abstract

Temperate japonica/geng (GJ) rice yield has significantly improved due to intensive breeding efforts, dramatically enhancing global food security. However, little is known about the underlying genomic structural variations (SVs) responsible for this improvement. We compared 58 long-read assemblies comprising cultivated and wild rice species in the present study, revealing 156 319 SVs. The phylogenomic analysis based on the SV dataset detected the putatively selected region of GJ sub-populations. A significant portion of the detected SVs overlapped with genic regions were found to influence the expression of involved genes inside GJ assemblies. Integrating the SVs and causal genetic variants underlying agronomic traits into the analysis enables the precise identification of breeding signatures resulting from complex breeding histories aimed at stress tolerance, yield potential and quality improvement. Further, the results demonstrated genomic and genetic evidence that the SV in the promoter of LTG1 is accounting for chilling sensitivity, and the increased copy numbers of GNP1 were associated with positive effects on grain number. In summary, the current study provides genomic resources for retracing the properties of SVs-shaped agronomic traits during previous breeding procedures, which will assist future genetic, genomic and breeding research on rice.

摘要

由于密集的育种工作,温带粳稻/梗(GJ)的产量有了显著提高,极大地提高了全球粮食安全。然而,对于导致这种改良的潜在基因组结构变异(SVs)知之甚少。本研究比较了 58 个包含栽培稻和野生稻的长读长组装,共发现了 156319 个 SVs。基于 SV 数据集的系统发育分析检测到了 GJ 亚群的假定选择区域。发现检测到的大量 SVs 与基因区域重叠,这些基因区域会影响 GJ 组装中涉及基因的表达。将 SVs 和与农艺性状相关的因果遗传变异整合到分析中,可以精确识别出由于耐胁迫、产量潜力和品质改良等复杂育种历史而产生的育种特征。此外,研究结果提供了基因组和遗传证据,证明 LTG1 启动子中的 SV 导致了对冷胁迫的敏感性,而 GNP1 的拷贝数增加与对粒数的正向影响有关。总之,本研究为追溯过去育种过程中 SV 对农艺性状的影响提供了基因组资源,这将有助于未来对水稻的遗传、基因组和育种研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1c/11376851/f19a6843f3a3/PBI-21-202-g001.jpg

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