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Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya
BACKGROUND: The identification and characterisation of quantitative trait loci (QTL) is an important step towards identifying functional sequences underpinning important crop traits and for developing accurate markers for selective breeding strategies. In this study, a genotyping-by-sequencing (GBS)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815024/ https://www.ncbi.nlm.nih.gov/pubmed/31655544 http://dx.doi.org/10.1186/s12870-019-2043-0 |
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author | Nantawan, Usana Kanchana-udomkan, Chutchamas Bar, Ido Ford, Rebecca |
author_facet | Nantawan, Usana Kanchana-udomkan, Chutchamas Bar, Ido Ford, Rebecca |
author_sort | Nantawan, Usana |
collection | PubMed |
description | BACKGROUND: The identification and characterisation of quantitative trait loci (QTL) is an important step towards identifying functional sequences underpinning important crop traits and for developing accurate markers for selective breeding strategies. In this study, a genotyping-by-sequencing (GBS) approach detected QTL conditioning desirable fruit quality traits in papaya. RESULTS: For this, a linkage map was constructed comprising 219 single nucleotide polymorphism (SNP) loci across 10 linkage groups and covering 509 centiMorgan (cM). In total, 21 QTLs were identified for seven key fruit quality traits, including flesh sweetness, fruit weight, fruit length, fruit width skin freckle, flesh thickness and fruit firmness. Several QTL for flesh sweetness, fruit weight, length, width and firmness were stable across harvest years and individually explained up to 19.8% of the phenotypic variance of a particular trait. Where possible, candidate genes were proposed and explored further for their application to marker-assisted breeding. CONCLUSIONS: This study has extended knowledge on the inheritance and genetic control for key papaya physiological and fruit quality traits. Candidate genes together with associated SNP markers represent a valuable resource for the future of strategic selective breeding of elite Australian papaya cultivars. |
format | Online Article Text |
id | pubmed-6815024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68150242019-10-31 Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya Nantawan, Usana Kanchana-udomkan, Chutchamas Bar, Ido Ford, Rebecca BMC Plant Biol Research Article BACKGROUND: The identification and characterisation of quantitative trait loci (QTL) is an important step towards identifying functional sequences underpinning important crop traits and for developing accurate markers for selective breeding strategies. In this study, a genotyping-by-sequencing (GBS) approach detected QTL conditioning desirable fruit quality traits in papaya. RESULTS: For this, a linkage map was constructed comprising 219 single nucleotide polymorphism (SNP) loci across 10 linkage groups and covering 509 centiMorgan (cM). In total, 21 QTLs were identified for seven key fruit quality traits, including flesh sweetness, fruit weight, fruit length, fruit width skin freckle, flesh thickness and fruit firmness. Several QTL for flesh sweetness, fruit weight, length, width and firmness were stable across harvest years and individually explained up to 19.8% of the phenotypic variance of a particular trait. Where possible, candidate genes were proposed and explored further for their application to marker-assisted breeding. CONCLUSIONS: This study has extended knowledge on the inheritance and genetic control for key papaya physiological and fruit quality traits. Candidate genes together with associated SNP markers represent a valuable resource for the future of strategic selective breeding of elite Australian papaya cultivars. BioMed Central 2019-10-26 /pmc/articles/PMC6815024/ /pubmed/31655544 http://dx.doi.org/10.1186/s12870-019-2043-0 Text en © The Author(s). 2019 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 Nantawan, Usana Kanchana-udomkan, Chutchamas Bar, Ido Ford, Rebecca Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya |
title | Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya |
title_full | Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya |
title_fullStr | Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya |
title_full_unstemmed | Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya |
title_short | Linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya |
title_sort | linkage mapping and quantitative trait loci analysis of sweetness and other fruit quality traits in papaya |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815024/ https://www.ncbi.nlm.nih.gov/pubmed/31655544 http://dx.doi.org/10.1186/s12870-019-2043-0 |
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