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Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach

BACKGROUND: Fruit quality traits have a significant effect on consumer acceptance and subsequently on peach (Prunus persica (L.) Batsch) consumption. Determining the genetic bases of key fruit quality traits is essential for the industry to improve fruit quality and increase consumption. Pedigree-ba...

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Autores principales: Rawandoozi, Zena J., Hartmann, Timothy P., Carpenedo, Silvia, Gasic, Ksenija, da Silva Linge, Cassia, Cai, Lichun, Van de Weg, Eric, Byrne, David H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392839/
https://www.ncbi.nlm.nih.gov/pubmed/32727362
http://dx.doi.org/10.1186/s12864-020-06927-x
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author Rawandoozi, Zena J.
Hartmann, Timothy P.
Carpenedo, Silvia
Gasic, Ksenija
da Silva Linge, Cassia
Cai, Lichun
Van de Weg, Eric
Byrne, David H.
author_facet Rawandoozi, Zena J.
Hartmann, Timothy P.
Carpenedo, Silvia
Gasic, Ksenija
da Silva Linge, Cassia
Cai, Lichun
Van de Weg, Eric
Byrne, David H.
author_sort Rawandoozi, Zena J.
collection PubMed
description BACKGROUND: Fruit quality traits have a significant effect on consumer acceptance and subsequently on peach (Prunus persica (L.) Batsch) consumption. Determining the genetic bases of key fruit quality traits is essential for the industry to improve fruit quality and increase consumption. Pedigree-based analysis across multiple peach pedigrees can identify the genomic basis of complex traits for direct implementation in marker-assisted selection. This strategy provides breeders with better-informed decisions and improves selection efficiency and, subsequently, saves resources and time. RESULTS: Phenotypic data of seven F(1) low to medium chill full-sib families were collected over 2 years at two locations and genotyped using the 9 K SNP Illumina array. One major QTL for fruit blush was found on linkage group 4 (LG4) at 40–46 cM that explained from 20 to 32% of the total phenotypic variance and showed three QTL alleles of different effects. For soluble solids concentration (SSC), one QTL was mapped on LG5 at 60-72 cM and explained from 17 to 39% of the phenotypic variance. A major QTL for titratable acidity (TA) co-localized with the major locus for low-acid fruit (D-locus). It was mapped at the proximal end of LG5 and explained 35 to 80% of the phenotypic variance. The new QTL for TA on the distal end of LG5 explained 14 to 22% of the phenotypic variance. This QTL co-localized with the QTL for SSC and affected TA only when the first QTL is homozygous for high acidity (epistasis). Haplotype analyses revealed SNP haplotypes and predictive SNP marker(s) associated with desired QTL alleles. CONCLUSIONS: A multi-family-based QTL discovery approach enhanced the ability to discover a new TA QTL at the distal end of LG5 and validated other QTLs which were reported in previous studies. Haplotype characterization of the mapped QTLs distinguishes this work from the previous QTL studies. Identified predictive SNPs and their original sources will facilitate the selection of parents and/or seedlings that have desired QTL alleles. Our findings will help peach breeders develop new predictive, DNA-based molecular marker tests for routine use in marker-assisted breeding.
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spelling pubmed-73928392020-08-04 Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach Rawandoozi, Zena J. Hartmann, Timothy P. Carpenedo, Silvia Gasic, Ksenija da Silva Linge, Cassia Cai, Lichun Van de Weg, Eric Byrne, David H. BMC Genomics Research Article BACKGROUND: Fruit quality traits have a significant effect on consumer acceptance and subsequently on peach (Prunus persica (L.) Batsch) consumption. Determining the genetic bases of key fruit quality traits is essential for the industry to improve fruit quality and increase consumption. Pedigree-based analysis across multiple peach pedigrees can identify the genomic basis of complex traits for direct implementation in marker-assisted selection. This strategy provides breeders with better-informed decisions and improves selection efficiency and, subsequently, saves resources and time. RESULTS: Phenotypic data of seven F(1) low to medium chill full-sib families were collected over 2 years at two locations and genotyped using the 9 K SNP Illumina array. One major QTL for fruit blush was found on linkage group 4 (LG4) at 40–46 cM that explained from 20 to 32% of the total phenotypic variance and showed three QTL alleles of different effects. For soluble solids concentration (SSC), one QTL was mapped on LG5 at 60-72 cM and explained from 17 to 39% of the phenotypic variance. A major QTL for titratable acidity (TA) co-localized with the major locus for low-acid fruit (D-locus). It was mapped at the proximal end of LG5 and explained 35 to 80% of the phenotypic variance. The new QTL for TA on the distal end of LG5 explained 14 to 22% of the phenotypic variance. This QTL co-localized with the QTL for SSC and affected TA only when the first QTL is homozygous for high acidity (epistasis). Haplotype analyses revealed SNP haplotypes and predictive SNP marker(s) associated with desired QTL alleles. CONCLUSIONS: A multi-family-based QTL discovery approach enhanced the ability to discover a new TA QTL at the distal end of LG5 and validated other QTLs which were reported in previous studies. Haplotype characterization of the mapped QTLs distinguishes this work from the previous QTL studies. Identified predictive SNPs and their original sources will facilitate the selection of parents and/or seedlings that have desired QTL alleles. Our findings will help peach breeders develop new predictive, DNA-based molecular marker tests for routine use in marker-assisted breeding. BioMed Central 2020-07-29 /pmc/articles/PMC7392839/ /pubmed/32727362 http://dx.doi.org/10.1186/s12864-020-06927-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Rawandoozi, Zena J.
Hartmann, Timothy P.
Carpenedo, Silvia
Gasic, Ksenija
da Silva Linge, Cassia
Cai, Lichun
Van de Weg, Eric
Byrne, David H.
Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach
title Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach
title_full Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach
title_fullStr Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach
title_full_unstemmed Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach
title_short Identification and characterization of QTLs for fruit quality traits in peach through a multi-family approach
title_sort identification and characterization of qtls for fruit quality traits in peach through a multi-family approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392839/
https://www.ncbi.nlm.nih.gov/pubmed/32727362
http://dx.doi.org/10.1186/s12864-020-06927-x
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