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dc.contributor.authorNovo Gimenez, Irene 
dc.contributor.authorPérez Pereira, Noelia 
dc.contributor.authorSantiago, Enrique
dc.contributor.authorQuesada Rodríguez, Humberto Carlos 
dc.contributor.authorCaballero Rúa, Armando 
dc.date.accessioned2023-07-19T07:27:00Z
dc.date.available2023-07-19T07:27:00Z
dc.date.issued2023-07-17
dc.identifier.citationMolecular Ecology Resources, 23(7): 1632-1640 (2023)spa
dc.identifier.issn1755098X
dc.identifier.issn17550998
dc.identifier.urihttp://hdl.handle.net/11093/5039
dc.description.abstractThe availability of a large number of high-density markers (SNPs) allows the estimation of historical effective population size (Ne) from linkage disequilibrium between loci. A recent refinement of methods to estimate historical Ne from the recent past has been shown to be rather accurate with simulation data. The method has also been applied to real data for numerous species. However, the simulation data cannot encompass all the complexities of real genomes, and the performance of any estimation method with real data is always uncertain, as the true demography of the populations is not known. Here, we carried out an experimental design with Drosophila melanogaster to test the method with real data following a known demographic history. We used a population maintained in the laboratory with a constant census size of about 2800 individuals and subjected the population to a drastic decline to a size of 100 individuals. After a few generations, the population was expanded back to the previous size and after a few further generations again expanded to twice the initial size. Estimates of historical Ne were obtained with the software GONE both for autosomal and X chromosomes from samples of 17 individuals sequenced for the whole genome. Estimates of the historical effective size were able to infer the patterns of changes that occurred in the populations showing generally good performance of the method. We discuss the limitations of the method and the application of the software carried out so faren
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades | Ref. PID2020-114426GB- C21spa
dc.description.sponsorshipMinisterio de Educación, Cultura y Deporte | Ref. FPU16/02299spa
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades | Ref. FPU18/04642spa
dc.description.sponsorshipUniversidade de Vigo/CISUG | Ref. Financiamiento de acceso abiertospa
dc.description.sponsorshipCRUE-CSIC | Ref. Financiamiento de acceso abiertospa
dc.description.sponsorshipXunta de Galicia | Ref. ED431C 2020-05spa
dc.language.isoengspa
dc.publisherMolecular Ecology Resourcesspa
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114426GB-C21/ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FPU18%2F04642/ES
dc.relationinfo:eu-repo/grantAgreement/MEC///FPU16%02299/ES
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleAn empirical test of the estimation of historical effective population size using Drosophila melanogasteren
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.1111/1755-0998.13837
dc.identifier.editorhttps://onlinelibrary.wiley.com/doi/10.1111/1755-0998.13837spa
dc.publisher.departamentoBioquímica, xenética e inmunoloxíaspa
dc.publisher.grupoinvestigacionXenética de Poboacións e Citoxenéticaspa
dc.subject.unesco2409.03 Genética de Poblacionesspa
dc.date.updated2023-07-17T10:41:17Z
dc.computerCitationpub_title=Molecular Ecology Resources|volume=23|journal_number=7|start_pag=1632|end_pag=1640spa


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    Attribution 4.0 International
    Except where otherwise noted, this item's license is described as Attribution 4.0 International