A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants

Author:

Wang Tianyi123ORCID,He Wenchuang1ORCID,Li Xiaoxia1,Zhang Chao1,He Huiying1,Yuan Qiaoling1,Zhang Bin1,Zhang Hong1ORCID,Leng Yue1,Wei Hua1,Xu Qiang1ORCID,Shi Chuanlin1,Liu Xiangpei1,Guo Mingliang1,Wang Xianmeng1,Chen Wu1,Zhang Zhipeng1,Yang Longbo1ORCID,Lv Yang1,Qian Hongge1,Zhang Bintao1,Yu Xiaoman1,Liu Congcong1,Cao Xinglan1,Cui Yan1,Zhang Qianqian1,Dai Xiaofan1,Guo Longbiao4,Wang Yuexing4,Zhou Yongfeng1ORCID,Ruan Jue1,Qian Qian145ORCID,Shang Lianguang15ORCID

Affiliation:

1. Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences , Shenzhen 518120 , China

2. State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University , Kaifeng 475004 , China

3. Shenzhen Research Institute of Henan university , Shenzhen 518000 , China

4. State Key Laboratory of Rice Biology, China National Rice Research Institute , Hangzhou 310006 , China

5. Yazhouwan National Laboratory , No. 8 Huanjin Road , Yazhou District, Sanya City , Hainan Province 572024 , China

Abstract

Abstract Detailed knowledge of the genetic variations in diverse crop populations forms the basis for genetic crop improvement and gene functional studies. In the present study, we analyzed a large rice population with a total of 10 548 accessions to construct a rice super-population variation map (RSPVM), consisting of 54 378 986 single nucleotide polymorphisms, 11 119 947 insertion/deletion mutations and 184 736 presence/absence variations. Assessment of variation detection efficiency for different population sizes revealed a sharp increase of all types of variation as the population size increased and a gradual saturation of that after the population size reached 10 000. Variant frequency analysis indicated that ∼90% of the obtained variants were rare, and would therefore likely be difficult to detect in a relatively small population. Among the rare variants, only 2.7% were predicted to be deleterious. Population structure, genetic diversity and gene functional polymorphism of this large population were evaluated based on different subsets of RSPVM, demonstrating the great potential of RSPVM for use in downstream applications. Our study provides both a rich genetic basis for understanding natural rice variations and a powerful tool for exploiting great potential of rare variants in future rice research, including population genetics and functional genomics.

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Youth innovation of Chinese Academy of Agricultural Sciences

Shenzhen Science and Technology Program

Publisher

Oxford University Press (OUP)

Subject

Genetics

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