Genome-wide association analysis of lead accumulation in maize

被引:0
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作者
Xiongwei Zhao
Yajuan Liu
Wenmei Wu
Yuhua Li
Longxin Luo
Yuzhou Lan
Yanhua Cao
Zhiming Zhang
Shibin Gao
Guangsheng Yuan
Li Liu
Yaou Shen
Guangtang Pan
Haijian Lin
机构
[1] Sichuan Agricultural University,Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute
来源
关键词
Maize; Lead accumulation; Association analysis; Genome prediction;
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摘要
Large phenotypic variations in the lead (Pb) concentration were observed in grains and leaves of maize plants. A further understanding of inheritance of Pb accumulation may facilitate improvement of low-Pb-accumulating cultivars in maize. A genome-wide association study was conducted in a population of 269 maize accessions with 43,737 single-nucleotide polymorphisms (SNPs). The Pb concentrations in leaves and kernels of 269 accessions were collected in pot-culture and field experiments in years of 2015 and 2016. Significant differences in Pb accumulation were found among individuals under different environments. Using the structure and kinship model, a total of 21 SNPs significantly associated with the Pb accumulation were identified with P < 2.28 × 10−5 and FDR < 0.05 in the pot-culture and field experiments across 2 years. Three SNPs on chromosome 4 had significant associations simultaneously with the Pb concentrations of kernels and leaves and were co-localized with the previously detected quantitative trait loci. Through ridge regression best linear unbiased prediction Pb accumulation in the association population, the prediction accuracies by cross validation were 0.18–0.59 and 0.17–0.64, depending on the k-fold and the size of the training population. The results are helpful for genetic improvement and genomic prediction of Pb accumulation in maize.
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页码:615 / 622
页数:7
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