Abstract
Foxtail millet (Setaria italica), a very important grain crop in China, has become a new model plant for cereal crops and biofuel grasses. Although its reference genome sequence was released recently, quantitative trait loci (QTLs) controlling complex agronomic traits remains limited. The development of massively parallel genotyping methods and next-generation sequencing technologies provides an excellent opportunity for developing single-nucleotide polymorphisms (SNPs) for linkage map construction and QTL analysis of complex quantitative traits. In this study, a high-throughput and cost-effective RAD-seq approach was employed to generate a high-density genetic map for foxtail millet. A total of 2,668,587 SNP loci were detected according to the reference genome sequence; meanwhile, 9,968 SNP markers were used to genotype 124 F2 progenies derived from the cross between Hongmiaozhangu and Changnong35; a high-density genetic map spanning 1648.8 cM, with an average distance of 0.17 cM between adjacent markers was constructed; 11 major QTLs for eight agronomic traits were identified; five co-dominant DNA markers were developed. These findings will be of value for the identification of candidate genes and marker-assisted selection in foxtail millet.
Highlights
It is essential to assess its agronomic traits by developing a genetic linkage map and identifying genes or quantitative trait loci (QTLs)
With the exception of qMPL1.1 and qTMID5.1, the remaining nine quantitative trait locus (QTL) were identified for the first time, indicating that differences in QTL number and position might be attributed to different mapping populations, type and number of markers (i.e., restriction fragment length polymorphism (RFLP), simple sequence repeats (SSR), and single-nucleotide polymorphism (SNP)), and environmental effects
Using a high-throughput and cost-effective Restriction siteassociated DNA sequencing (RAD-seq) approach, we developed a total of 9,968 SNPs to construct a high-density genetic linkage map for foxtail millet, spanning 1648.8 cM, with an average distance of 0.17 cM between adjacent markers
Summary
It is essential to assess its agronomic traits by developing a genetic linkage map and identifying genes or quantitative trait loci (QTLs). Multiple essential agronomic and quality traits have been studied by identifying QTLs or genes using NGS technologies in foxtail millet. A total of 10,016 SNP markers were considered for linkage map construction.
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