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High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits

BACKGROUND: St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] is a warm-season, perennial turfgrass species well adapted for home lawns and commercial landscapes with economic and ecological value. However, a lack of genomic resources in St. Augustinegrass has hindered the full utilization...

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Autores principales: Yu, Xingwang, Kimball, Jennifer A., Milla-Lewis, Susana R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292074/
https://www.ncbi.nlm.nih.gov/pubmed/30541451
http://dx.doi.org/10.1186/s12870-018-1554-4
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author Yu, Xingwang
Kimball, Jennifer A.
Milla-Lewis, Susana R.
author_facet Yu, Xingwang
Kimball, Jennifer A.
Milla-Lewis, Susana R.
author_sort Yu, Xingwang
collection PubMed
description BACKGROUND: St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] is a warm-season, perennial turfgrass species well adapted for home lawns and commercial landscapes with economic and ecological value. However, a lack of genomic resources in St. Augustinegrass has hindered the full utilization of genetic variance for maximizing genetic gain and limited our understanding of the species’ evolution. RESULTS: In this study, we constructed the first high-density linkage map for St. Augustinegrass using a genotyping by sequencing (GBS) approach. The integrated linkage map consists of 2871 single nucleotide polymorphism (SNP) and 81 simple sequence repeat (SSR) markers, spanning 1241.7 cM, with an average distance of 0.4 cM between markers, and thus represents the densest genetic map for St. Augustinegrass to date. Comparative genomic analysis revealed inter-chromosome arrangements and independent nested chromosome fusion events that occurred after St. Augustinegrass, foxtail millet, sorghum, and rice diverged from a common ancestor. Forty-eight candidate quantitative trait loci (QTL) were detected for turf quality-related traits, including overall turf quality, leaf texture, genetic color, and turf density. Three hot spot regions were identified on linkage groups LG3 and LG8, where multi-QTL for different traits overlapped. Several leaf development related genes were contained within these identified QTL regions. CONCLUSIONS: This study developed the first high-density genetic map and identified putative QTL related to turf quality, which provide valuable genetic resources for marker-assisted selection (MAS) in St. Augustinegrass. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1554-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-62920742018-12-17 High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits Yu, Xingwang Kimball, Jennifer A. Milla-Lewis, Susana R. BMC Plant Biol Research Article BACKGROUND: St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] is a warm-season, perennial turfgrass species well adapted for home lawns and commercial landscapes with economic and ecological value. However, a lack of genomic resources in St. Augustinegrass has hindered the full utilization of genetic variance for maximizing genetic gain and limited our understanding of the species’ evolution. RESULTS: In this study, we constructed the first high-density linkage map for St. Augustinegrass using a genotyping by sequencing (GBS) approach. The integrated linkage map consists of 2871 single nucleotide polymorphism (SNP) and 81 simple sequence repeat (SSR) markers, spanning 1241.7 cM, with an average distance of 0.4 cM between markers, and thus represents the densest genetic map for St. Augustinegrass to date. Comparative genomic analysis revealed inter-chromosome arrangements and independent nested chromosome fusion events that occurred after St. Augustinegrass, foxtail millet, sorghum, and rice diverged from a common ancestor. Forty-eight candidate quantitative trait loci (QTL) were detected for turf quality-related traits, including overall turf quality, leaf texture, genetic color, and turf density. Three hot spot regions were identified on linkage groups LG3 and LG8, where multi-QTL for different traits overlapped. Several leaf development related genes were contained within these identified QTL regions. CONCLUSIONS: This study developed the first high-density genetic map and identified putative QTL related to turf quality, which provide valuable genetic resources for marker-assisted selection (MAS) in St. Augustinegrass. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1554-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-12 /pmc/articles/PMC6292074/ /pubmed/30541451 http://dx.doi.org/10.1186/s12870-018-1554-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yu, Xingwang
Kimball, Jennifer A.
Milla-Lewis, Susana R.
High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits
title High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits
title_full High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits
title_fullStr High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits
title_full_unstemmed High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits
title_short High density genetic maps of St. Augustinegrass and applications to comparative genomic analysis and QTL mapping for turf quality traits
title_sort high density genetic maps of st. augustinegrass and applications to comparative genomic analysis and qtl mapping for turf quality traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292074/
https://www.ncbi.nlm.nih.gov/pubmed/30541451
http://dx.doi.org/10.1186/s12870-018-1554-4
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