A graph-based genome and pan-genome variation of the model plant Setaria

Author:

He QiangORCID,Tang ShaORCID,Zhi Hui,Chen JinfengORCID,Zhang Jun,Liang Hongkai,Alam Ornob,Li HongboORCID,Zhang Hui,Xing Lihe,Li XukaiORCID,Zhang Wei,Wang Hailong,Shi Junpeng,Du Huilong,Wu Hongpo,Wang Liwei,Yang PingORCID,Xing Lu,Yan Hongshan,Song Zhongqiang,Liu Jinrong,Wang Haigang,Tian Xiang,Qiao Zhijun,Feng Guojun,Guo Ruifeng,Zhu Wenjuan,Ren Yuemei,Hao Hongbo,Li Mingzhe,Zhang Aiying,Guo Erhu,Yan Feng,Li Qingquan,Liu Yanli,Tian Bohong,Zhao Xiaoqin,Jia Ruiling,Feng Baili,Zhang Jiewei,Wei Jianhua,Lai JinshengORCID,Jia GuanqingORCID,Purugganan MichaelORCID,Diao XianminORCID

Abstract

AbstractSetaria italica (foxtail millet), a founder crop of East Asian agriculture, is a model plant for C4 photosynthesis and developing approaches to adaptive breeding across multiple climates. Here we established the Setaria pan-genome by assembling 110 representative genomes from a worldwide collection. The pan-genome is composed of 73,528 gene families, of which 23.8%, 42.9%, 29.4% and 3.9% are core, soft core, dispensable and private genes, respectively; 202,884 nonredundant structural variants were also detected. The characterization of pan-genomic variants suggests their importance during foxtail millet domestication and improvement, as exemplified by the identification of the yield gene SiGW3, where a 366-bp presence/absence promoter variant accompanies gene expression variation. We developed a graph-based genome and performed large-scale genetic studies for 68 traits across 13 environments, identifying potential genes for millet improvement at different geographic sites. These can be used in marker-assisted breeding, genomic selection and genome editing to accelerate crop improvement under different climatic conditions.

Publisher

Springer Science and Business Media LLC

Subject

Genetics

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