Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers

• Autor(a) principal: Scarpassa, Vera Margarete
• Data de Publicação: 2007
• Outros Autores: Conn, Jan E.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional do INPA
• Texto Completo: https://repositorio.inpa.gov.br/handle/1/14524
• topic: Dna; Microsatellite Dna; Animals; Anopheles; Brasil; Classification; Disease Carrier; Disease Transmission; Genetic Marker; Genetic Variability; Genetics; Human; Malaria; Genetics, Population; Animal; Anopheles; Brasil; Dna; Genetic Markers; Genetics, Population; Humans; Insect Vectors; Malaria; Microsatellite Repeats; Variation (genetics); Anopheles Darlingi; Culicidae; Diptera

The population genetic structure of Anopheles darlingi, the major human malaria vector in the Neotropics, was examined using seven microsatellite loci from nine localities in central and western Amazonian Brazil. High levels of genetic variability were detected (5-25 alleles per locus; HE = 0.519-0.949). There was deviation from Hardy-Weinberg Equilibrium for 59.79% of the tests due to heterozygote deficits, while the analysis of linkage disequilibrium was significant for only two of 189 (1.05%) tests, most likely caused by null alleles. Genetic differentiation (FST = 0.001-0.095; Nm = 4.7-363.8) indicates that gene flow is extensive among locations ≤ 152 km apart (with two exceptions) and reduced, but not absent, at a larger geographic scale. Genetic and geographic distances were significantly correlated (R2 = 0.893, P < 0.0002), supporting the isolation by distance (IBD) model. The overall estimate of Ne was 202.4 individuals under the linkage disequilibrium model, and ∞ under the heterozygote excess model. Analysis of molecular variance showed that nearly all variation (∼ 94%) was within sample locations. The UPGMA phenogram clustered the samples geographically, with one branch including 5/6 of the state of Amazonas localities and the other branch the Acre, Rondônia, and remaining Amazonas localities. Taken together, these data suggest little genetic structure for An. darlingi from central and western Amazonian Brazil. These findings also imply that the IBD model explains nearly all of the differentiation detected. In practical terms, populations of An. darlingi at distances ≤ 152 km should respond similarly to vector control measures, because of high gene flow.