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dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorGarcía Girón, Jorge 
dc.contributor.authorGarcía García, Pedro 
dc.contributor.authorFernández Aláez, Margarita 
dc.contributor.authorBécares Mantecón, Eloy 
dc.contributor.authorFernández Aláez, María del Camino 
dc.contributor.otherEcologiaes_ES
dc.date2019-12-02
dc.date.accessioned2024-01-31T08:20:27Z
dc.date.available2024-01-31T08:20:27Z
dc.identifier.citationGarcía-Girón, J., García, P., Fernández-Aláez, M., Bécares, E., and Fernández-Aláez, C. (2019). Bridging population genetics and the metacommunity perspective to unravel the biogeographic processes shaping genetic differentiation of Myriophyllum alterniflorum DC. Scientific Reports, 9, Article e18097. https://doi.org/10.1038/s41598-019-54725-7es_ES
dc.identifier.otherhttps://www.nature.com/articles/s41598-019-54725-7es_ES
dc.identifier.urihttps://hdl.handle.net/10612/17936
dc.description.abstract[EN] The degree to which dispersal limitation interacts with environmental filtering has intrigued metacommunity ecologists and molecular biogeographers since the beginning of both research disciplines. Since genetic methods are superior to coarse proxies of dispersal, understanding how environmental and geographic factors influence population genetic structure is becoming a fundamental issue for population genetics and also one of the most challenging avenues for metacommunity ecology. In this study of the aquatic macrophyte Myriophyllum alterniflorum DC., we explored the spatial genetic variation of eleven populations from the Iberian Plateau by means of microsatellite loci, and examined if the results obtained through genetic methods match modern perspectives of metacommunity theory. To do this, we applied a combination of robust statistical routines including network analysis, causal modelling and multiple matrix regression with randomization. Our findings revealed that macrophyte populations clustered into genetic groups that mirrored their geographic distributions. Importantly, we found a significant correlation between genetic variation and geographic distance at the regional scale. By using effective (genetic) dispersal estimates, our results are broadly in line with recent findings from metacommunity theory and re-emphasize the need to go beyond the historically predominant paradigm of understanding environmental heterogeneity as the main force driving macrophyte diversity patternses_ES
dc.languageenges_ES
dc.publisherNature Researches_ES
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectBiologíaes_ES
dc.subjectEcología. Medio ambientees_ES
dc.subjectGenéticaes_ES
dc.subject.otherMyriophyllum alterniflorum DCes_ES
dc.subject.otherGenetic differentiationes_ES
dc.subject.otherBiogeographic processeses_ES
dc.subject.otherPopulation geneticses_ES
dc.subject.otherMetacommunity perspectivees_ES
dc.titleBridging population genetics and the metacommunity perspective to unravel the biogeographic processes shaping genetic differentiation of Myriophyllum alterniflorum DC.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1038/s41598-019-54725-7
dc.description.peerreviewedSIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/CGL2017-84176-R/ES/APLICACION DE LA TEORIA DE METACOMUNIDADES A LA GESTION DE LA BIODIVERSIDAD DE LAGUNAS EN PAISAJES AGROGANADEROS DEL MEDITERRANEO/METAPONDSes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/JCYL//LE004G18/ESes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2045-2322
dc.journal.titleScientific Reportses_ES
dc.volume.number9es_ES
dc.page.initial18097es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco2417.13 Ecología Vegetales_ES
dc.subject.unesco2417.14 Genética Vegetal
dc.subject.unesco2409.03 Genética de Poblaciones
dc.description.projectWe thank all the members of the limnology group at the University of Leon for their assistance in field work. This research was funded by the Spanish Ministry of Science and Technology (project CL2017-84176R) and by the Junta of Castilla y León (project LE004G18)es_ES


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Attribution 4.0 International
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International