同步
生物
基因组学
计算生物学
驯化
基因组
比较基因组学
鉴定(生物学)
遗传学
数据科学
计算机科学
基因
生态学
作者
Zu-Wen Zhou,Zhiguang Yu,Xiaoming Huang,Jin-Shen Liu,Yi‐Xiong Guo,Ling‐Ling Chen,Jia‐Ming Song
标识
DOI:10.1016/j.jgg.2022.03.013
摘要
Pan-genomics can encompass most of the genetic diversity of a species or population and has proved to be a powerful tool for studying genomic evolution and the origin and domestication of species, and for providing information for plant improvement. Plant genomics has greatly progressed because of improvements in sequencing technologies and the rapid reduction of sequencing costs. Nevertheless, pan-genomics still presents many challenges, including computationally intensive assembly methods, high costs with large numbers of samples, ineffective integration of big data, and difficulty in applying it to downstream multi-omics analysis and breeding research. In this review, we summarize the definition and recent achievements of plant pan-genomics, computational technologies used for pan-genome construction, and the applications of pan-genomes in plant genomics and molecular breeding. We also discuss challenges and perspectives for future pan-genomics studies and provide a detailed pipeline for sample selection, genome assembly and annotation, structural variation identification, and construction and application of graph-based pan-genomes. The aim is to provide important guidance for plant pan-genome research and a better understanding of the genetic basis of genome evolution, crop domestication, and phenotypic diversity for future studies.
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