数字农科院2.0

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

文献类型： 外文期刊

作者： Wang, Yu;Li, Fengcheng;Zhang, Fan;Wu, Lian;Xu, Na;Sun, Qi;Chen, Hao;Yu, Zhiwen;Lu, Jiahao;Jiang, Kai;Wang, Xiaoche;Wen, Siyu;Zhou, Yao;Zhao, Hui;Jiang, Qian;Wang, Jiahong;Jia, Ruizong;Sun, Jian;Tang, Liang;Xu, Hai;Hu, Wei;Xu, Zhengjin

作者机构：

关键词： Oryza sativa;japonica;geng;de novo assembly;structural variations;breeding process;gene editing

期刊名称： PLANT BIOTECHNOLOGY JOURNAL

ISSN： 1467-7644

年卷期： 2022 年

页码：

收录情况： SCIE（2022版）

摘要： 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.

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