
The Negative Correlation between Fiber Color and Quality Traits Revealed by QTL Analysis
Author(s) -
Hongjie Feng,
Lixue Guo,
Gaskin Wang,
Junling Sun,
Zhaoe Pan,
Shoupu He,
Heqin Zhu,
Jie Sun,
Xiongming Du
Publication year - 2015
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.0129490
Subject(s) - lint , quantitative trait locus , biology , locus (genetics) , population , correlation , genetics , gene , agronomy , medicine , mathematics , environmental health , geometry
Naturally existing colored cotton was far from perfection due to having genetic factors for lower yield, poor fiber quality and monotonous color. These factors posed a challenge to colored cotton breeding and innovation. To identify novel quantitative trait loci (QTL) for fiber color along with understanding of correlation between fiber color and quality in colored cotton, a RIL and two F 2 populations were generated from crosses among Zong128 (Brown fiber cotton) and two white fiber cotton lines which were then analyzed in four environments. Two stable and major QTLs ( q LC-7-1, q FC-7-1) for fiber lint and fuzz color were detected accounting for 16.01%-59.85% of the phenotypic variation across multiple generations and environments. Meanwhile, some minor QTLs were also identified on chromosomes 5, 14, 21 and 24 providing low phenotypic variation (<5%) from only F2 populations, not from the RILs population. Especially, a multiple-effect locus for fiber color and quality has been detected between flanking markers NAU1043 and NAU3654 on chromosome 7 (A genome) over multiple environments. Of which, q LC-7-1, q FC-7-1 were responsible for positive effects and improved fiber color in offsprings. Meanwhile, the QTLs ( q FL-7-1, q FU-7-1, q FF-7-1, q FE-7-1, and q FS-7-1) for fiber quality had negative effects and explained 2.19%-8.78% of the phenotypic variation. This multiple-effect locus for fiber color and quality may reveal the negative correlation between the two types of above traits, so paving the way towards cotton genetic improvement.