大豆科学2024，Vol.43Issue(6)：674-682,9.DOI:10.11861/j.issn.1000-9841.2024.06.0674
基于CIELAB的大豆种皮颜色全基因组关联分析
Genome-Wide Association Study of Soybean Seed Coat Color Based on CIELAB
摘要
Abstract
Seed coat color is a crucial phenotypic feature in plants,whose accurate quantification is vital for variety classification,genetic analysis and agricultural applications.Using 274 soybean core germplasm as an association population,seed coat color was measured with a colorimeter based on CIBLAB to obtain six color parameters.Principal component analysis was used to identify the best parameters for characterizing soybean seed coat color.Based on this,genetic diversity and genome-wide association analysis were conducted to identify SNP loci significantly associated with soybean seed coat color.Soybean seed coat color was classified into four groups,including yellow,green,black,and other group.Principal component analysis indicated that yellow was the predominant color,and the yellow-blue value(b*)was the best parameter for characterizing soybean seed coat color.Genetic diversity analysis showed that yellow-related traits exhibited rich genetic variations among genotypes,with a coefficient of variation ranging from-35.53％to 48.19％.Genome-wide association analysis using 172 soybean genotypes with yellow seed coat color detected a total of 462 SNP loci significantly associated with the b*parameter,including 287 novel loci and 175 loci that coincide with the previously reported I and L1 loci known to control soybean seed coat color.Precise quantification of seed coat color using the colorimeter is a new method that could objectively verify soybean seed coat color.Using this method,several new SNP loci significantly associated with soybean seed coat color were detected,which would help to further elucidate the genetic mechanisms regulating soybean seed coat color.关键词
CIELAB色彩空间/大豆/种皮颜色/全基因组关联分析Key words
CIELAB color space/soybean/seed coat color/genome-wide association analysis引用本文复制引用
王存虎,许潇,许锐能,钟永嘉,廖红..基于CIELAB的大豆种皮颜色全基因组关联分析[J].大豆科学,2024,43(6):674-682,9.基金项目
国家重点研发计划项目(2021YFF1000500). （2021YFF1000500）
