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A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq
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 developmen...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482450/ https://www.ncbi.nlm.nih.gov/pubmed/28644843 http://dx.doi.org/10.1371/journal.pone.0179717 |
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author | Wang, Jun Wang, Zhilan Du, Xiaofen Yang, Huiqing Han, Fang Han, Yuanhuai Yuan, Feng Zhang, Linyi Peng, Shuzhong Guo, Erhu |
author_facet | Wang, Jun Wang, Zhilan Du, Xiaofen Yang, Huiqing Han, Fang Han, Yuanhuai Yuan, Feng Zhang, Linyi Peng, Shuzhong Guo, Erhu |
author_sort | Wang, Jun |
collection | PubMed |
description | 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 F(2) 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. |
format | Online Article Text |
id | pubmed-5482450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54824502017-07-06 A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq Wang, Jun Wang, Zhilan Du, Xiaofen Yang, Huiqing Han, Fang Han, Yuanhuai Yuan, Feng Zhang, Linyi Peng, Shuzhong Guo, Erhu PLoS One Research Article 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 F(2) 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. Public Library of Science 2017-06-23 /pmc/articles/PMC5482450/ /pubmed/28644843 http://dx.doi.org/10.1371/journal.pone.0179717 Text en © 2017 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Jun Wang, Zhilan Du, Xiaofen Yang, Huiqing Han, Fang Han, Yuanhuai Yuan, Feng Zhang, Linyi Peng, Shuzhong Guo, Erhu A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq |
title | A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq |
title_full | A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq |
title_fullStr | A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq |
title_full_unstemmed | A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq |
title_short | A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq |
title_sort | high-density genetic map and qtl analysis of agronomic traits in foxtail millet [setaria italica (l.) p. beauv.] using rad-seq |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482450/ https://www.ncbi.nlm.nih.gov/pubmed/28644843 http://dx.doi.org/10.1371/journal.pone.0179717 |
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