Insights on SNP types, detection methods and their utilization in Brassica species: Recent progress and future perspectives

文献类型： 外文期刊

第一作者： Yang, Su

作者： Yang, Su;Gill, Rafaqat Ali;Zaman, Qamar U.;Ulhassan, Zaid;Zhou, Weijun

作者机构：

关键词： Brassica species; SNP; Gene sequencing; QTL mapping; Association genetics

期刊名称：JOURNAL OF BIOTECHNOLOGY （ 影响因子：3.307； 五年影响因子：3.778 ）

ISSN： 0168-1656

年卷期： 2020 年 324 卷

页码：

收录情况： SCI

摘要： The genus Brassica, family Brassicaceae (Cruciferae), comprises many important species of oil crops, vegetables and medicinal plants including B. rapa, B. oleracea, B. nigra, B. napus, B. juncea, B. carinata. Genomic researches in Brassica species is constrained by polyploidization, mainly due to its complicated genomic structure. However, rapid development of methods for detecting single nucleotide polymorphisms (SNP), such as next generation sequencing and SNP microarray, has accelerated release of reference Brassica species genomes as well as discovery of large numbers and genome-wide SNPs, thus intensifying forward genetics in this genus. In this review, we summarize biological characteristics, classification and various methods for detecting SNPs, focusing on high-throughput techniques. Moreover, we describe the pivotal roles of SNPs in genetic diversity, linkage map construction and QTL mapping, comparative genomics, linkage disequilibrium and genome-wide association studies. These insights are expected to deepen our understanding and guide further advancements in Brassica species research.

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