Genome-Wide Detection of Major and Epistatic Effect QTLs for Seed Protein and Oil Content in Soybean Under Multiple Environments Using High-Density Bin Map

International Journal of Molecular Sciences
Benjamin KarikariTuanjie Zhao

Abstract

Seed protein and oil content are the two important traits determining the quality and value of soybean. Development of improved cultivars requires detailed understanding of the genetic basis underlying the trait of interest. However, it is prerequisite to have a high-density linkage map for precisely mapping genomic regions, and therefore the present study used high-density genetic map containing 2267 recombination bin markers distributed on 20 chromosomes and spanned 2453.79 cM with an average distance of 1.08 cM between markers using restriction-site-associated DNA sequencing (RAD-seq) approach. A recombinant inbred line (RIL) population of 104 lines derived from a cross between Linhefenqingdou and Meng 8206 cultivars was evaluated in six different environments to identify main- and epistatic-effect quantitative trait loci (QTLs)as well as their interaction with environments. A total of 44 main-effect QTLs for protein and oil content were found to be distributed on 17 chromosomes, and 15 novel QTL were identified for the first time. Out of these QTLs, four were major and stable QTLs, viz., qPro-7-1, qOil-8-3, qOil-10-2 and qOil-10-4, detected in at least two environments plus combined environment with R² values >10%. Within t...Continue Reading

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Citations

Oct 28, 2019·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Man-Wah LiHon-Ming Lam
Nov 12, 2020·PLoS Genetics·Hengyou ZhangYong-Qiang Charles An
May 14, 2020·Journal of Agricultural and Food Chemistry·Jinghua HuangYanbo Cheng

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Methods Mentioned

BETA
RNA-seq
genotyping

Software Mentioned

JoinMap
SPSS17
MapChart
WinQTL Cart
Origin
Real SFS
R Package
SOAP2
QTL Network
PERL script

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