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Microsatellite data suggest significant population structure and differentiation within the malaria vector Anopheles darlingi in Central and South America by Lisa Mirabello; Joseph H Vineis; Stephen P Yanoviak; Vera M Scarpassa; Marinete M Póvoa; Norma Padilla; Nicole L Achee; Jan E Conn is a scholarly article available to read on EtoBox.

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## Abstract ## Background __Anopheles darlingi__ is the most important malaria vector in the Neotropics. An understanding of __A. darlingi__'s population structure and contemporary gene flow patterns is necessary if vector populations are to be successfully controlled. We assessed population genetic structure and levels of differentiation based on 1,376 samples from 31 localities throughout the Peruvian and Brazilian Amazon and Central America using 5–8 microsatellite loci. ## Results We found high levels of polymorphism for all of the Amazonian populations (mean __R__ ~S~ = 7.62, mean __H__ ~O~ = 0.742), and low levels for the Belize and Guatemalan populations (mean __R__ ~S~ = 4.3, mean __H__ ~O~ = 0.457). The Bayesian clustering analysis revealed five population clusters: northeastern Amazonian Brazil, southeastern and central Amazonian Brazil, western and central Amazonian Brazil, Peruvian Amazon, and the Central American populations. Within Central America there was low non-significant differentiation, except for between the populations separated by the Maya Mountains. Within Amazonia there was a moderate level of significant differentiation attributed to isolation by distance

Author

Lisa Mirabello; Joseph H Vineis; Stephen P Yanoviak; Vera M Scarpassa; Marinete M Póvoa; Norma Padilla; Nicole L Achee; Jan E Conn

Publisher

BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, 2001-; Springer Science and Business Media LLC (ISSN 1472-6785)

Published

2008

Language

EN

ISBN

9781472678584