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
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/23186

id INTADig_311b23898ff005d9fd82077317f97166
oai_identifier_str oai:localhost:20.500.12123/23186
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling 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
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1842341443145826304
score 12.623145