Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding

文献类型： 外文期刊

第一作者： Hu, Haifei

作者： Hu, Haifei;Wang, Jian;Zhao, Junliang;Hu, Haifei;Wang, Jian;Zhao, Junliang;Hu, Haifei;Wang, Jian;Zhao, Junliang;Hu, Haifei;Wang, Jian;Zhao, Junliang;Scheben, Armin;Li, Fangping;Li, Chengdao;Edwards, David;Edwards, David

作者机构：

关键词： inversion; pangenome; plant breeding; machine learning; genome editing

期刊名称：PLANT BIOTECHNOLOGY JOURNAL （ 影响因子：13.8； 五年影响因子：13.2 ）

ISSN： 1467-7644

年卷期： 2023 年

页码：

收录情况： SCI

摘要： Inversions, a type of chromosomal structural variation, significantly influence plant adaptation and gene functions by impacting gene expression and recombination rates. However, compared with other structural variations, their roles in functional biology and crop improvement remain largely unexplored. In this review, we highlight technological and methodological advancements that have allowed a comprehensive understanding of inversion variants through the pangenome framework and machine learning algorithms. Genome editing is an efficient method for inducing or reversing inversion mutations in plants, providing an effective mechanism to modify local recombination rates. Given the potential of inversions in crop breeding, we anticipate increasing attention on inversions from the scientific community in future research and breeding applications.

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