Open AccessDissecting Genetic Network of Fruit Branch Traits in Upland Cotton by Association Mapping Using SSR Markers
Author(s) -
Yongjun Mei,
Jiwen Yu,
Anke Xue,
Shuli Fan,
Meizhen Song,
Chaoyou Pang,
Wenfeng Pei,
Shuang Yu,
Jun Zhu
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0162815
Subject(s) - epistasis , biology , genetic architecture , hybrid , quantitative trait locus , genetic variation , association mapping , genetic diversity , dominance (genetics) , botany , agronomy , genetics , genotype , gene , population , single nucleotide polymorphism , demography , sociology
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 ~ 91.61%, suggesting these branch traits largely influenced by genetic factors.