Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines
文献类型： 外文期刊
作者： Wang, Liang 1 ; Zhang, Ziqiang 2 ; Han, Pingan 2 ; Liang, Yahui 2 ; Zhang, Huizhong 2 ; Fu, Zengjuan 2 ; Zhao, Shangmin 2 ; Yuanyuan, E. 2 ; Zhang, Hui 2 ; Wu, Xinrong 2 ; Zhang, Bizhou 2 ; Chang, Yue 2 ; Tang, Kuangang 2 ; Zheng, Wenzhe 2 ; Chen, Li 3 ; Wang, Ronghua 4 ; Gao, Weishi 5 ; Hasi, Agula 1 ; Li, Xiaodong 2 ; Bai, Chen 2 ;
作者机构： 1.Inner Mongolia Univ, Sch Life Sci, Minist Educ, Key Lab Herbage & Endem Crop Biol, Hohhot, Peoples R China
2.Inner Mongolia Acad Agr & Anim Husb Sci, Key Lab Sugar Beet Genet & Germplasm Enhancement, Hohhot, Peoples R China
3.Heilongjiang Univ, Coll Modern Agr & Ecol Environm, Harbin, Heilongjiang, Peoples R China
4.Shihezi Acad Agr Sci, Inst Sugar Beet Res, Beet Breeding & Seed Proc Lab, Shihezi, Peoples R China
5.Xinjiang Acad Agr Sci, Res Ind Econ Crops, Urumqi, Peoples R China
期刊名称：SCIENTIFIC REPORTS （ 影响因子：4.6； 五年影响因子：4.9 ）
ISSN： 2045-2322
年卷期： 2023 年 13 卷 1 期
页码：
收录情况： SCI
摘要： Due to the relatively brief domestication history of sugar beet (Beta vulgaris ssp. vulgaris), our understanding of the genomic diversity and functional genes in its cultivars is limited, resulting in slow breeding progress. To address this issue, a total of 306 germplasm materials of major cultivars and breeding lines from China, the USA, and Europe were selected for genome resequencing. We investigated population structure and genetic diversity and performed selective scanning of genomic regions, identifying six novel genes associated with important agronomic traits: the candidate genes DFAX2 and P5CS for skin roughness; the candidate genes FRO5, GL24, and PPR91 for root yield and sugar yield, and the pleiotropic candidate gene POLX for flourishing growth vigour, plant height, crown size, flesh coarseness, and sugar yield. In addition, we constructed a protein-protein interaction network map and a phenotype-gene network map, which provide valuable information for identifying and characterizing functional genes affecting agronomic traits in sugar beet. Overall, our study sheds light on the future improvement of sugar beet agronomic traits at the molecular level.
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