Genetic discovery for oil production and quality in sesame
| Autor: | Qiang Zhao, Xianmei Zhang, Qi Feng, Xuehui Huang, Qilin Tian, Yanxin Zhang, Bin Han, Kunyan Liu, Xiaofeng Zhu, Xiaodong Zhu, Donghua Li, Xin Wei, Linhai Wang, Wen-Jun Li, Congcong Zhou, Ziruo Wen, Yiqi Lu, Yuan Gao, Lifeng Liu, Xiumei Tang, Yan Zhao, Qijun Weng, Danlin Fan, Xiurong Zhang, Ruichun Zhong, Chuanrang Zhu |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Candidate gene
Molecular Sequence Data General Physics and Astronomy Genome-wide association study Genes Plant Genome Article General Biochemistry Genetics and Molecular Biology Sesamum Crop Botany Amino Acid Sequence Gene Multidisciplinary biology business.industry Haplotype General Chemistry biology.organism_classification Biotechnology Vegetable oil Seeds business Sesame Oil Genome-Wide Association Study |
| Zdroj: | Nature Communications |
| ISSN: | 2041-1723 |
| Popis: | Oilseed crops are used to produce vegetable oil. Sesame (Sesamum indicum), an oilseed crop grown worldwide, has high oil content and a small diploid genome, but the genetic basis of oil production and quality is unclear. Here we sequence 705 diverse sesame varieties to construct a haplotype map of the sesame genome and de novo assemble two representative varieties to identify sequence variations. We investigate 56 agronomic traits in four environments and identify 549 associated loci. Examination of the major loci identifies 46 candidate causative genes, including genes related to oil content, fatty acid biosynthesis and yield. Several of the candidate genes for oil content encode enzymes involved in oil metabolism. Two major genes associated with lignification and black pigmentation in the seed coat are also associated with large variation in oil content. These findings may inform breeding and improvement strategies for a broad range of oilseed crops. Sesame is a valuable oilseed crop with a small diploid genome and high seed-oil content making it an attractive model for genetic studies. Here, Wei et al. sequence more than 705 sesame varieties and perform a genome-wide association study to identify genes associated with important agronomic traits. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|