Universidad Peruana Cayetano Heredia

Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers

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dc.contributor.author Campos, Melina
dc.contributor.author Conn, Jan E.
dc.contributor.author Alonso, Diego Peres
dc.contributor.author Vinetz, Joseph Michael
dc.contributor.author Emerson, Kevin J.
dc.contributor.author Ribolla, Paulo Eduardo Martins
dc.date.accessioned 2019-01-25T15:28:05Z
dc.date.available 2019-01-25T15:28:05Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/20.500.12866/4702
dc.description.abstract BACKGROUND: In recent decades, throughout the Amazon Basin, landscape modification contributing to profound ecological change has proceeded at an unprecedented rate. Deforestation that accompanies human activities can significantly change aspects of anopheline biology, though this may be site-specific. Such local changes in anopheline biology could have a great impact on malaria transmission. The aim of this study was to investigate population genetics of the main malaria vector in Brazil, Anopheles darlingi, from a microgeographical perspective. METHODS: Microsatellites and ddRADseq-derived single nucleotide polymorphisms (SNPs) were used to assess levels of population genetic structuring among mosquito populations from two ecologically distinctive agricultural settlements (~60 km apart) and a population from a distant (~700 km) urban setting in the western Amazon region of Brazil. RESULTS: Significant microgeographical population differentiation was observed among Anopheles darlingi populations via both model- and non-model-based analysis only with the SNP dataset. Microsatellites detected moderate differentiation at the greatest distances, but were unable to differentiate populations from the two agricultural settlements. Both markers showed low polymorphism levels in the most human impacted sites. CONCLUSIONS: At a microgeographical scale, signatures of genetic heterogeneity and population divergence were evident in Anopheles darlingi, possibly related to local environmental anthropic modification. This divergence was observed only when using high coverage SNP markers. en_US
dc.language.iso eng
dc.publisher BioMed Central
dc.relation.ispartofseries Parasites and Vectors
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Brazil en_US
dc.subject Animals en_US
dc.subject Genotype en_US
dc.subject Amazonian Brazil en_US
dc.subject Anopheles darlingi en_US
dc.subject DdRADseq en_US
dc.subject Genetic Variation en_US
dc.subject Genetics, Population en_US
dc.subject Malaria en_US
dc.subject Microsatellite markers en_US
dc.subject Microsatellite Repeats en_US
dc.subject Mosquito Vectors en_US
dc.subject Polymorphism, Single Nucleotide en_US
dc.subject SNPs en_US
dc.subject Anopheles/classification/genetics/growth & development en_US
dc.title Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1186/s13071-017-2014-y
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.07
dc.relation.issn 1756-3305


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