z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here