A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach
- Autores
- Ksouri, Najla; Sanchez, Gerardo; Font i Forcada, Carolina; Contreras-Moreira, Bruno; Gogorcena Aoiz, Yolanda
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 - Fuente
- Plant Methods 21 : Article number: 101. (July 2025)
- Materia
-
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 - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/23186
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A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peachKsouri, NajlaSanchez, GerardoFont i Forcada, CarolinaContreras-Moreira, BrunoGogorcena Aoiz, YolandaDuraznoGenéticaGenes CandidatosPrunus persicaHaplotiposPeachesGeneticsCandidate GenesHaplotypesddRAD-seqDouble digest RAD-seqGWASEstudio de Asociación de Genoma CompletoImproving 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 PedroFil: Ksouri, Najla. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei. Department of Pomology. Group of Genomics of Fruit Trees and Grapevine; EspañaFil: Sánchez, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; ArgentinaFil: Font i Forcada, Carolina. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei. Department of Pomology; EspañaFil: 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; EspañaFil: Gogorcena Aoiz, Yolanda. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei. Department of Pomology. Group of Genomics of Fruit Trees and Grapevine; EspañaBMC2025-07-28T15:03:18Z2025-07-28T15:03:18Z2025-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/23186https://plantmethods.biomedcentral.com/articles/10.1186/s13007-025-01415-31746-4811https://doi.org/10.1186/s13007-025-01415-3Plant Methods 21 : Article number: 101. (July 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:51:12Zoai:localhost:20.500.12123/23186instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:51:12.721INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach Ksouri, Najla 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 |
title_short |
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_sort |
A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach |
dc.creator.none.fl_str_mv |
Ksouri, Najla Sanchez, Gerardo Font i Forcada, Carolina Contreras-Moreira, Bruno Gogorcena Aoiz, Yolanda |
author |
Ksouri, Najla |
author_facet |
Ksouri, Najla Sanchez, Gerardo Font i Forcada, Carolina Contreras-Moreira, Bruno Gogorcena Aoiz, Yolanda |
author_role |
author |
author2 |
Sanchez, Gerardo Font i Forcada, Carolina Contreras-Moreira, Bruno Gogorcena Aoiz, Yolanda |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
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 |
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 |
dc.description.none.fl_txt_mv |
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 |
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. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-07-28T15:03:18Z 2025-07-28T15:03:18Z 2025-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
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 |
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 |
identifier_str_mv |
1746-4811 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
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) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
BMC |
publisher.none.fl_str_mv |
BMC |
dc.source.none.fl_str_mv |
Plant Methods 21 : Article number: 101. (July 2025) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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