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resumen

Resumen
Double digest RAD-seq (ddRAD-seq) is a flexible and cost-effective strategy that has emerged as one of the most popular genotyping approaches in plants. It relies on combining two restriction enzymes for library preparation followed by PCR amplification of the template molecules. However, PCR introduces sequence duplicates and may erroneously inflate the confidence of genotype calls at a particular site. Although the process of variant calling is [ver mas...]
dc.contributor.authorKsouri, Najla
dc.contributor.authorBenítez, M
dc.contributor.authorAballay, Maximiliano Martín
dc.contributor.authorSanchez, Gerardo
dc.contributor.authorContreras-Moreira, Bruno
dc.contributor.authorGogorcena Aoiz, Yolanda
dc.date.accessioned2024-01-09T12:44:29Z
dc.date.available2024-01-09T12:44:29Z
dc.date.issued2022
dc.identifier.isbn978-94-62613-52-2
dc.identifier.issn2406-6168
dc.identifier.otherhttps://doi.org/10.17660/ActaHortic.2022.1352.56
dc.identifier.urihttp://hdl.handle.net/20.500.12123/16484
dc.descriptionX International Peach Symposium, Naoussa (Grecia), diciembre de 2022
dc.description.abstractDouble digest RAD-seq (ddRAD-seq) is a flexible and cost-effective strategy that has emerged as one of the most popular genotyping approaches in plants. It relies on combining two restriction enzymes for library preparation followed by PCR amplification of the template molecules. However, PCR introduces sequence duplicates and may erroneously inflate the confidence of genotype calls at a particular site. Although the process of variant calling is relatively straightforward, it is time-consuming, involving multiple steps. Thus, removing any unneeded steps would reduce the computation time and simplify the analysis. Hence, the primary aim of this study is to evaluate the necessity of PCR duplicates and their effects on SNP and indel calling in peach. On the other hand, the accuracy of genetic variant identification in plants is a crucial step toward understanding phenotypical traits and monitoring breeding programs. However, false positive calls are a common issue that could hamper the detection of relevant variants. Thereby, a good combination of computational tools for alignment and variant calling is crucial to tackle these artifacts. In response to this challenge, three variant callers (BCFtools-mpileup, Freebayes and GATK-HaplotypeCaller) were combined on top of the BWA-mem read mapper. Variants derived from the intersection of these callers are selected as a high confidence set and flagged for subsequent analysis. The pipeline is documented and available as a set of Makefiles that can be adapted to any species. This work provides useful guidelines and a reproducible workflow for variant detection using ddRAD-seq data.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherISHSes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceActa horticulturae 1352 : 405-412. (Dec. 2022)es_AR
dc.subjectPrunus persicaes_AR
dc.subjectVariación Genéticaes_AR
dc.subjectGenetic Variationeng
dc.subjectPCReng
dc.subjectBiotecnología Vegetales_AR
dc.subjectPlant Biotechnologyeng
dc.subjectFitomejoramientoes_AR
dc.subjectPlant Breedingeng
dc.subjectGenetic Techniqueseng
dc.subjectGenotipadoes_AR
dc.subjectGenotypingeng
dc.subjectDuraznoes_AR
dc.subjectPeacheseng
dc.subject.otherddRAD-seqeng
dc.subject.otherDouble digest RAD-seqeng
dc.subject.otherDNA-variantseng
dc.titleddRAD-seq variant calling in peach and the effect of removing PCR duplicateses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
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: Benítez, M.M. Consejo Superior de Investigaciones Científicas (CSIC). Estación Experimental Aula Dei; Españaes_AR
dc.description.filFil: Aballay, Maximiliano Martín. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentinaes_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.subtypecientifico


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