QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map

Abstract 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 mole...

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Main Authors: L. Pereira, V. Ruggieri, S. Pérez, K. G. Alexiou, M. Fernández, T. Jahrmann, M. Pujol, J. Garcia-Mas
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Plant Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12870-018-1537-5
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author L. Pereira
V. Ruggieri
S. Pérez
K. G. Alexiou
M. Fernández
T. Jahrmann
M. Pujol
J. Garcia-Mas
author_facet L. Pereira
V. Ruggieri
S. Pérez
K. G. Alexiou
M. Fernández
T. Jahrmann
M. Pujol
J. Garcia-Mas
author_sort L. Pereira
collection DOAJ
description Abstract 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.
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spelling doaj.art-a946a7d1786d4ed897d7d4ab7fcdc7af2022-12-22T03:46:41ZengBMCBMC Plant Biology1471-22292018-12-0118111710.1186/s12870-018-1537-5QTL mapping of melon fruit quality traits using a high-density GBS-based genetic mapL. Pereira0V. Ruggieri1S. Pérez2K. G. Alexiou3M. Fernández4T. Jahrmann5M. Pujol6J. Garcia-Mas7Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UBCentre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UBCentre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UBCentre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UBSemillas Fitó S.A.Semillas Fitó S.A.Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UBCentre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UBAbstract 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.http://link.springer.com/article/10.1186/s12870-018-1537-5Quantitative trait lociMelonFruit qualityFruit morphologyGenotyping-by-sequencingGenetic map
spellingShingle L. Pereira
V. Ruggieri
S. Pérez
K. G. Alexiou
M. Fernández
T. Jahrmann
M. Pujol
J. Garcia-Mas
QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map
BMC Plant Biology
Quantitative trait loci
Melon
Fruit quality
Fruit morphology
Genotyping-by-sequencing
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 Quantitative trait loci
Melon
Fruit quality
Fruit morphology
Genotyping-by-sequencing
Genetic map
url http://link.springer.com/article/10.1186/s12870-018-1537-5
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