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QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map
BACKGROUND: Melon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular br...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278158/ https://www.ncbi.nlm.nih.gov/pubmed/30509167 http://dx.doi.org/10.1186/s12870-018-1537-5 |
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author | Pereira, L. Ruggieri, V. Pérez, S. Alexiou, K. G. Fernández, M. Jahrmann, T. Pujol, M. Garcia-Mas, J. |
author_facet | Pereira, L. Ruggieri, V. Pérez, S. Alexiou, K. G. Fernández, M. Jahrmann, T. Pujol, M. Garcia-Mas, J. |
author_sort | Pereira, L. |
collection | PubMed |
description | BACKGROUND: Melon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular breeding tools. RESULTS: In order to identify QTLs controlling fruit quality, a recombinant inbred line population was developed using two commercial cultivars as parental lines: “Védrantais”, from the cantalupensis group, and “Piel de Sapo”, from the inodorus group. Both have desirable quality traits for the market, but their fruits differ in traits such as rind and flesh color, sugar content, ripening behavior, size and shape. We used a genotyping-by-sequencing strategy to construct a dense genetic map, which included around five thousand variants distributed in 824 bins. The RIL population was phenotyped for quality and morphology traits, and we mapped 33 stable QTLs involved in sugar and carotenoid content, fruit and seed morphology and major loci controlling external color of immature fruit and mottled rind. The median confidence interval of the QTLs was 942 kb, suggesting that the high density of the genetic map helped in increasing the mapping resolution. Some of these intervals contained less than a hundred annotated genes, and an integrative strategy combining gene expression and resequencing data enabled identification of candidate genes for some of these traits. CONCLUSION: Several QTLs controlling fruit quality traits in melon were identified and delimited to narrow genomic intervals, using a RIL population and a GBS-based genetic map. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1537-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6278158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62781582018-12-10 QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map Pereira, L. Ruggieri, V. Pérez, S. Alexiou, K. G. Fernández, M. Jahrmann, T. Pujol, M. Garcia-Mas, J. BMC Plant Biol Research Article BACKGROUND: Melon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular breeding tools. RESULTS: In order to identify QTLs controlling fruit quality, a recombinant inbred line population was developed using two commercial cultivars as parental lines: “Védrantais”, from the cantalupensis group, and “Piel de Sapo”, from the inodorus group. Both have desirable quality traits for the market, but their fruits differ in traits such as rind and flesh color, sugar content, ripening behavior, size and shape. We used a genotyping-by-sequencing strategy to construct a dense genetic map, which included around five thousand variants distributed in 824 bins. The RIL population was phenotyped for quality and morphology traits, and we mapped 33 stable QTLs involved in sugar and carotenoid content, fruit and seed morphology and major loci controlling external color of immature fruit and mottled rind. The median confidence interval of the QTLs was 942 kb, suggesting that the high density of the genetic map helped in increasing the mapping resolution. Some of these intervals contained less than a hundred annotated genes, and an integrative strategy combining gene expression and resequencing data enabled identification of candidate genes for some of these traits. CONCLUSION: Several QTLs controlling fruit quality traits in melon were identified and delimited to narrow genomic intervals, using a RIL population and a GBS-based genetic map. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1537-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-04 /pmc/articles/PMC6278158/ /pubmed/30509167 http://dx.doi.org/10.1186/s12870-018-1537-5 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 Pereira, L. Ruggieri, V. Pérez, S. Alexiou, K. G. Fernández, M. Jahrmann, T. Pujol, M. Garcia-Mas, J. QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map |
title | QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map |
title_full | QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map |
title_fullStr | QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map |
title_full_unstemmed | QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map |
title_short | QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map |
title_sort | qtl mapping of melon fruit quality traits using a high-density gbs-based genetic map |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278158/ https://www.ncbi.nlm.nih.gov/pubmed/30509167 http://dx.doi.org/10.1186/s12870-018-1537-5 |
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