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dc.contributor.author
Hernández, Fernando  
dc.contributor.author
Presotto, Alejandro Daniel  
dc.contributor.author
Poverene, María Mónica  
dc.contributor.author
Mandel, Jennifer R.  
dc.date.available
2020-04-11T22:16:45Z  
dc.date.issued
2019-07-29  
dc.identifier.citation
Hernández, Fernando; Presotto, Alejandro Daniel; Poverene, María Mónica; Mandel, Jennifer R.; Genetic diversity and population structure of wild sunflower (Helianthus annuus L.) in Argentina: Reconstructing its invasion history; Oxford Univ Press Inc; Journal of Heredity; 110; 6; 29-7-2019; 746-759  
dc.identifier.issn
0022-1503  
dc.identifier.uri
http://hdl.handle.net/11336/102335  
dc.description.abstract
Studying the levels and patterns of genetic diversity of invasive populations is important to understand the evolutionary and ecological factors promoting invasions and for better designing preventive and control strategies. Wild sunflower (Helianthus annuus L.) is native to North America and was introduced, and has become invasive, in several countries, including Argentina (ARG). Here, using classical population genetic analyses and Approximate Bayesian Computation (ABC) modelling, we studied the invasion history of wild sunflower in ARG. We analyzed 115 individuals belonging to 15 populations from ARG (invasive range) and United States (US, native range) at 14 nuclear and three chloroplast simple sequence repeat markers along with 23 phenotypic variables. Populations from ARG showed similar levels of nuclear genetic diversity to US populations and higher genetic diversity in the chloroplast genome, indicating no severe genetic bottlenecks during the invasion process. Bayesian clustering analysis, based on nuclear markers, suggests the presence of three genetic clusters, all present in both US and ARG. Discriminant analysis of principal components (DAPC) detected an overall low population structure between central US and ARG populations but separated two invasive populations from the rest. ABC modelling supports multiple introductions but also a southward dispersal within ARG. Genetic and phenotypic data support the central US as a source of introduction while the source of secondary introductions could not be resolved. Finally, using genetic markers from the chloroplast genome, we found lower population structure in ARG when compared to US populations, suggesting a role for seed-mediated gene flow in Argentina.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Oxford Univ Press Inc  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
INVASIVE SUNFLOWER  
dc.subject
APPROXIMATE BAYESIAN COMPUTATION  
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DISCRIMINANT ANALYSIS OF PRINCIPAL COMPONENTS  
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CHLOROPLAST SSR  
dc.subject.classification
Otras Ciencias Agrícolas  
dc.subject.classification
Otras Ciencias Agrícolas  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
Genetic diversity and population structure of wild sunflower (Helianthus annuus L.) in Argentina: Reconstructing its invasion history  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-02-26T19:34:44Z  
dc.journal.volume
110  
dc.journal.number
6  
dc.journal.pagination
746-759  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Oxford  
dc.description.fil
Fil: Hernández, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina  
dc.description.fil
Fil: Presotto, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina  
dc.description.fil
Fil: Poverene, María Mónica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina. Universidad Nacional del Sur. Departamento de Agronomía; Argentina  
dc.description.fil
Fil: Mandel, Jennifer R.. University of Memphis; Estados Unidos  
dc.journal.title
Journal of Heredity  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/jhered/advance-article/doi/10.1093/jhered/esz047/5540155  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/jhered/esz047