Dissecting Genetic Network of Fruit Branch Traits in Upland Cotton by Association Mapping Using SSR Markers
文献类型： 外文期刊
作者： Mei, Yongjun 1 ; Yu, Jiwen 1 ; Xue, Angli 1 ; Fan, Shuli 1 ; Song, Meizhen 1 ; Pang, Chaoyou 1 ; Pei, Wenfeng 4 ; Yu, Shuxun 5 ; Zhu, Jun 6 ;
作者机构： 1.College of Plant Science, Tarim University, Alar, Xinjiang, China
2.State Key Laboratory of Cotton Biology, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
3.Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, China
4.Chinese Acad Agr Sci, Inst Cotton Res, Minist Agr, Key Lab Cotton Genet Improvement,State Key Lab Co, Anyang, Henan, Peoples R China
5.;Chinese Acad Agr Sci, Inst Cotton Res, Minist Agr, Key Lab Cotton Genet Improvement,State Key Lab Co, Anyang, Henan, Peoples R China
6.;Zhejiang Univ, Key Lab Crop Germplasm Resource Zhejiang Prov, Hangzhou, Zhejiang, Peoples R China
期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）
ISSN： 1932-6203
年卷期： 2017 年 12 卷 1 期
页码：
收录情况： SCI
摘要： Genetic architecture of branch traits has large influences on the morphological structure, photosynthetic capacity, planting density, and yield of Upland cotton (Gossypium hirsutum L.). This research aims to reveal the genetic effects of six branch traits, including bottom fruit branch node number (BFBNN), bottom fruit branch length (BFBL), middle fruit branch node number (MFBNN), middle fruit branch length (MFBL), upper fruit branch node number (UFBNN), and upper fruit branch length (UFBL). Association mapping was conducted for these traits of 39 lines and their 178 F-1 hybrids in three environments. There were 20 highly significant Quantitative Trait SSRs (QTSs) detected by mixed linear model approach analyzing a full genetic model with genetic effects of additive, dominance, epistasis and their environment interaction. The phenotypic variation explained by genetic effects ranged from 32.64 similar to 91.61%, suggesting these branch traits largely influenced by genetic factors.
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