A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach

Improving peach cultivars with superior traits is a primary objective of breeding initiatives. In this study, we aimed to elucidate the genetic basis of key agronomic and fruit-related traits using a reproducible ddRAD-seq protocol applied to a discovery panel of 90 peach accessions. Our customized...

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Main Authors: Ksouri, Najla, Sanchez, Gerardo, Font i Forcada, Carolina, Contreras-Moreira, Bruno, Gogorcena Aoiz, Yolanda
Format: Artículo
Language:Inglés
Published: BMC 2025
Subjects:
Online Access:http://hdl.handle.net/20.500.12123/23186
https://plantmethods.biomedcentral.com/articles/10.1186/s13007-025-01415-3
https://doi.org/10.1186/s13007-025-01415-3
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author Ksouri, Najla
Sanchez, Gerardo
Font i Forcada, Carolina
Contreras-Moreira, Bruno
Gogorcena Aoiz, Yolanda
author_browse Contreras-Moreira, Bruno
Font i Forcada, Carolina
Gogorcena Aoiz, Yolanda
Ksouri, Najla
Sanchez, Gerardo
author_facet Ksouri, Najla
Sanchez, Gerardo
Font i Forcada, Carolina
Contreras-Moreira, Bruno
Gogorcena Aoiz, Yolanda
author_sort Ksouri, Najla
collection INTA Digital
description Improving peach cultivars with superior traits is a primary objective of breeding initiatives. In this study, we aimed to elucidate the genetic basis of key agronomic and fruit-related traits using a reproducible ddRAD-seq protocol applied to a discovery panel of 90 peach accessions. Our customized workflow (available at https://github.com/najlaksouri/GWAS-Workflow) integrates three variant callers and tests up to seven models to perform a robust genome-wide association analysis (GWAS). This approach produced 13,045 high-confidence SNPs and identified Blink as the most suitable model, effectively balancing false positive and negative associations. A total of 16 significant associations signals were unveiled for six highly heritable traits (H2 > 0.5), including harvest date, fruit weight, flesh firmness, contents of flavonoids, anthocyanins and sorbitol. By assessing the allelic effect of significant markers on phenotypic attributes, nine SNP alleles were deemed favorable. Notably, a promising marker (SNC_034014.1_7012470) demonstrated simultaneous association with harvest date and fruit firmness, displaying a positive allelic effect on both traits. We anticipate that this marker can serve as a good predictor of firmer varieties. Candidate causal genes were shortlisted when fulfilling the following criteria: (i) position within the linkage disequilibrium block, (ii) functional annotation and (iii) expression pattern. A comprehensive bibliographic review of previously reported QTLs mapping nearby the associated markers allowed us to benchmark the accuracy of our approach. Despite the moderate germplasm size, ddRAD-seq allowed us to produce an accurate representation of the peach genome, resulting in SNP markers suitable for empirical association studies. Together with candidate genes, they lay the foundation for further genetic dissection of peach key traits.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
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spelling INTA231862025-07-28T15:07:42Z A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach Ksouri, Najla Sanchez, Gerardo Font i Forcada, Carolina Contreras-Moreira, Bruno Gogorcena Aoiz, Yolanda Durazno Genética Genes Candidatos Prunus persica Haplotipos Peaches Genetics Candidate Genes Haplotypes ddRAD-seq Double digest RAD-seq GWAS Estudio de Asociación de Genoma Completo Improving peach cultivars with superior traits is a primary objective of breeding initiatives. In this study, we aimed to elucidate the genetic basis of key agronomic and fruit-related traits using a reproducible ddRAD-seq protocol applied to a discovery panel of 90 peach accessions. Our customized workflow (available at https://github.com/najlaksouri/GWAS-Workflow) integrates three variant callers and tests up to seven models to perform a robust genome-wide association analysis (GWAS). This approach produced 13,045 high-confidence SNPs and identified Blink as the most suitable model, effectively balancing false positive and negative associations. A total of 16 significant associations signals were unveiled for six highly heritable traits (H2 > 0.5), including harvest date, fruit weight, flesh firmness, contents of flavonoids, anthocyanins and sorbitol. By assessing the allelic effect of significant markers on phenotypic attributes, nine SNP alleles were deemed favorable. Notably, a promising marker (SNC_034014.1_7012470) demonstrated simultaneous association with harvest date and fruit firmness, displaying a positive allelic effect on both traits. We anticipate that this marker can serve as a good predictor of firmer varieties. Candidate causal genes were shortlisted when fulfilling the following criteria: (i) position within the linkage disequilibrium block, (ii) functional annotation and (iii) expression pattern. A comprehensive bibliographic review of previously reported QTLs mapping nearby the associated markers allowed us to benchmark the accuracy of our approach. Despite the moderate germplasm size, ddRAD-seq allowed us to produce an accurate representation of the peach genome, resulting in SNP markers suitable for empirical association studies. Together with candidate genes, they lay the foundation for further genetic dissection of peach key traits. EEA San Pedro Fil: Ksouri, Najla. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei. Department of Pomology. Group of Genomics of Fruit Trees and Grapevine; España Fil: Sánchez, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina Fil: Font i Forcada, Carolina. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei. Department of Pomology; España Fil: Contreras-Moreira, Bruno. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei. Department of Genetics and Plant Production. Laboratory of Computational and Structural Biology; España Fil: Gogorcena Aoiz, Yolanda. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei. Department of Pomology. Group of Genomics of Fruit Trees and Grapevine; España 2025-07-28T15:03:18Z 2025-07-28T15:03:18Z 2025-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/23186 https://plantmethods.biomedcentral.com/articles/10.1186/s13007-025-01415-3 1746-4811 https://doi.org/10.1186/s13007-025-01415-3 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf BMC Plant Methods 21 : Article number: 101. (July 2025)
spellingShingle Durazno
Genética
Genes Candidatos
Prunus persica
Haplotipos
Peaches
Genetics
Candidate Genes
Haplotypes
ddRAD-seq
Double digest RAD-seq
GWAS
Estudio de Asociación de Genoma Completo
Ksouri, Najla
Sanchez, Gerardo
Font i Forcada, Carolina
Contreras-Moreira, Bruno
Gogorcena Aoiz, Yolanda
A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach
title A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach
title_full A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach
title_fullStr A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach
title_full_unstemmed A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach
title_short A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach
title_sort reproducible ddrad seq protocol reveals novel genomic association signatures for fruit related traits in peach
topic Durazno
Genética
Genes Candidatos
Prunus persica
Haplotipos
Peaches
Genetics
Candidate Genes
Haplotypes
ddRAD-seq
Double digest RAD-seq
GWAS
Estudio de Asociación de Genoma Completo
url http://hdl.handle.net/20.500.12123/23186
https://plantmethods.biomedcentral.com/articles/10.1186/s13007-025-01415-3
https://doi.org/10.1186/s13007-025-01415-3
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