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dc.date.accessioned 2022-02-25T16:47:03Z
dc.date.available 2022-02-25T16:47:03Z
dc.date.issued 2007-09
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/131721
dc.description.abstract The main goal of this contribution is to investigate the genetic structure of boll weevil populations from South America (Argentina and Brazil) and to make further comparisons with a putative source population from USA. Samples were collected in a Paranaense forest under reserve protection, cotton fields and non-cultivated areas. Data from anonymous molecular markers were analysed using both traditional methods of population genetics and Bayesian approaches. Results help to support a previous hypothesis on the presence of two lineages of boll weevil populations in South America: one with characteristics of recent invaders and the other with characteristics of ancient populations. The sample from Urugua-i Provincial Park (Misiones, Argentina) shows the highest percentage of polymorphic loci, the highest values of mean heterozigosity, and the largest number of population-specific alleles, all being typical features of ancient populations. Furthermore, the Urugua-i sample shows two gene pools occurring in sympatry, probably as a consequence of a secondary contact. The remaining samples reveal not only lower percentages of polymorphic loci and heterozygosity values, but also an almost negligible presence of specific alleles. Bayesian methods also suggest the occasional migration of some individuals of ancient lineages from their natural habitats in fragments of the Paranaense forest into cotton fields, and vice versa. en
dc.format.extent 11-20 es
dc.language en es
dc.subject Boll weevil es
dc.subject RAPDs es
dc.subject Genetic structure es
dc.subject Bayesian approach es
dc.subject Anthonomus grandis es
dc.title Population structure of the boll weevil in cotton fields and subtropical forests of South America: a bayesian approach en
dc.type Articulo es
sedici.identifier.other doi:10.1007/s10709-006-9108-3 es
sedici.identifier.other pmid:17043743 es
sedici.identifier.issn 0016-6707 es
sedici.identifier.issn 1573-6857 es
sedici.creator.person Guzmán, Noelia Verónica es
sedici.creator.person Lia, Verónica Viviana es
sedici.creator.person Lanteri, Analía Alicia es
sedici.creator.person Confalonieri, Viviana A. es
sedici.subject.materias Ciencias Naturales es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Naturales y Museo es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Genetica es
sedici.relation.journalVolumeAndIssue vol. 131, no. 1 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)