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Identification of QTLs for 14 Agronomically Important Traits in Setaria italica Based on SNPs Generated from
Kai Zhang1,2, Guangyu Fan3,4,5, Xinxin Zhang6,2
1Beijing Genomics Institute-Shenzhen, 518083, China zhanggengyun@genomics.cn zhaozhihai58@163.com.
Abstract:
Foxtail millet (Setaria italica) is an important crop possessing C4 photosynthesis capability. The S. italica genome was de novo sequenced in 2012, but the sequence lacked high-density genetic maps with agronomic and yield trait linkages. In the present study, we resequenced a foxtail millet population of 439 recombinant inbred lines (RILs) and developed high-resolution bin map and high-density SNP markers, which could provide an effective approach for gene identification. A total of 59 QTL for 14 agronomic traits in plants grown under long- and short-day photoperiods were identified. The phenotypic variation explained ranged from 4.9 to 43.94%. In addition, we suggested that there may be segregation distortion on chromosome 6 that is significantly distorted toward Zhang gu. The newly identified QTL will provide a platform for sequence-based research on the S. italica genome, and for molecular marker-assisted breeding.