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Quantitative Traits Locus Meta-analysis of Fiber Quality Traits in Cotton
Authors:YANG Xin-Lei  ZHOU Xiao-Dong  WANG Sheng-Fen  LI Zhi-Kun  ZHANG Yan  LIU Heng-Wei  WU Li-Qiang  ZHANG Gui-Yin  MA Zhi-Ying
Institution:1.North China Key Laboratory for Crop Germplasm Resources of Education Ministry / Key Laboratory of Crop Germplasm Resources of Hebei / Agricultural University of Hebei, Baoding 071001, China; 2. School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China
Abstract:Using bioinformatics methods and meta-analysis with BC1 map as reference, 92 cotton fiber quality QTL collected from both BC1 and BC1F2 populations constructed previously were used to construct a QTL integrated map for QTL analysis in this study. The five hundred ninety-nine loci were mapped into 26 chromosomes with an average distance between adjacent markers of 5.96 cM and covered 3,571.9 cM. Sixty-three QTL of fiber qualities related were integrated into the new reference map. The fifteen meta-QTL were mapped on 12 chromosomes by the meta-analysis method and also QTL clusters have been discovered on chromosome 9, 16 and 24. The major meta-QTL of Meta-QTL9-1 derived from five QTL on chromosome 9, could explain 17.16% of phenotypic variance. The meta-QTL16-1 derived from ten QTL on chromosome 16, could explain 12.28% of phenotypic variance. And three meta-QTL derived from nine QTLs on chromosome 24, could explain 16.12%,16.69% and 18.27% of phenotypic variance, respectively. On average, one meta-QTL derived from two QTLs on the other chromosomes. The results indicated that these meta-QTL could be used in improving fine QTL mapping and molecular-assisted selection of cotton fiber qualities in breeding.
Keywords:cotton  fiber quality traits  QTL  meta-analysis  
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