A quantitative genomics map of rice provides genetic insights and guides breeding

Xin Wei, Jie Qiu, Kaicheng Yong, Jiongjiong Fan, Qi Zhang, Hua Hua, Jie Liu, Qin Wang, Kenneth M. Olsen, Bin Han, Xuehui Huang

Research output: Contribution to journalArticlepeer-review

111 Scopus citations

Abstract

Extensive allelic variation in agronomically important genes serves as the basis of rice breeding. Here, we present a comprehensive map of rice quantitative trait nucleotides (QTNs) and inferred QTN effects based on eight genome-wide association study cohorts. Population genetic analyses revealed that domestication, local adaptation and heterosis are all associated with QTN allele frequency changes. A genome navigation system, RiceNavi, was developed for QTN pyramiding and breeding route optimization, and implemented in the improvement of a widely cultivated indica variety. This work presents an efficient platform that bridges ever-increasing genomic knowledge and diverse improvement needs in rice.

Original languageEnglish
Pages (from-to)243-253
Number of pages11
JournalNature Genetics
Volume53
Issue number2
DOIs
StatePublished - Feb 2021

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