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resumen

Resumen
Double-digest RAD sequencing (ddRAD-Seq) is a powerful method for SNP discovery at a genome-wide scale. It relies on breaking the genome into a certain size of DNA fragments using two restriction enzymes: i) one common cutter with a short recognition site and ii) a low frequency cutter having a large recognition motif . Amplification step in library preparation can introduce PCR artefacts. Those are expected to skew allele frequency by increasing [ver mas...]
dc.contributor.authorKsouri, Najla
dc.contributor.authorSanchez, Gerardo
dc.contributor.authorContreras-Moreira, Bruno
dc.contributor.authorGogorcena Aoiz, Yolanda
dc.date.accessioned2022-12-29T12:05:58Z
dc.date.available2022-12-29T12:05:58Z
dc.date.issued2022-09
dc.identifier.urihttp://hdl.handle.net/20.500.12123/13758
dc.descriptionPósteres_AR
dc.description.abstractDouble-digest RAD sequencing (ddRAD-Seq) is a powerful method for SNP discovery at a genome-wide scale. It relies on breaking the genome into a certain size of DNA fragments using two restriction enzymes: i) one common cutter with a short recognition site and ii) a low frequency cutter having a large recognition motif . Amplification step in library preparation can introduce PCR artefacts. Those are expected to skew allele frequency by increasing homozygosity leading to false genotype calls. In this context, we carried out a comparison study between DNA-variants generated with duplicates and those generated after removing with either "'SAMtools:rmdup" or "Stacks clone filter". On the other hand, the accuracy of genetic variants identification is a crucial step towards understanding phenotypical traits and monitoring breeding programs. Thereby, a good combination of computational tools for alignment and variant calling is crucial to tackle the possible artifacts. In response to this challenge, three variant callers (BCFtools, Freebayes and GATK-HaplotypeCaller) were combined on top of the BWA-mem read mapper. SNPs derived from the intersection of these callers were used for a genome wide association study to genetic variants associated with agronomic and organoleptic traits (In this poster, we illustrate only one study case trait). A diverse set of 90 peach accessions were sampled from the Experimental Station of Aula Dei (CSIC) located at Zaragoza (northern of Spain). This germplasm collection includes landraces and modem breeding lines from different origins.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSECH-SEGes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceX Congreso de Mejora Genética de plantas. Sociedad Española de Ciencias Hortícolas (SECH) y Sociedad Española de Genética (SEG). Pontevedra, España. 19-22 de Septiembre de 2022.es_AR
dc.subjectPrunus persicaes_AR
dc.subjectGenotipadoes_AR
dc.subjectGenotypingeng
dc.subjectReplicaciónes_AR
dc.subjectReplicationeng
dc.subjectGenetic Techniqueseng
dc.subjectBiotecnologíaes_AR
dc.subjectBiotechnologyeng
dc.subjectDuraznoes_AR
dc.subjectPeacheseng
dc.subject.otherddRAD-seqeng
dc.subject.otherEstudio de Asociación de Genoma Completoes_AR
dc.subject.otherGWASeng
dc.titleddRAD-seq para el análisis de asociación genómico de los principales caracteres agronómicos y calidad organoléptica en melocotoneroes_AR
dc.typeinfo:ar-repo/semantics/documento de conferenciaes_AR
dc.typeinfo:eu-repo/semantics/conferenceObjectes_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEEA San Pedroes_AR
dc.description.filFil: Ksouri, Najla. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei; Españaes_AR
dc.description.filFil: Sánchez, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentinaes_AR
dc.description.filFil: Contreras-Moreira, Bruno. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei; Españaes_AR
dc.description.filFil: Gogorcena Aoiz, Yolanda. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei; Españaes_AR
dc.subtypeponencia


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