Population Genetic Structure of Anopheles arabiensis Mosquitoes in Ethiopia and Eritrea

37Citations
Citations of this article
99Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This study examined the population genetic structure of the major malaria vector, Anopheles arabiensis mosquitoes, in Ethiopia and Eritrea. Ethiopia and Eritrea have great geographical diversity, with high mountains, rugged plateaus, deep gorges, and rolling plains. The plateau is bisected diagonally by the Great Rift Valley into the Northwestern Highlands and the Southeastern Highlands. Five A. arabiensis populations from the Northwestern Highlands region and two populations from high-altitude sites in the Great Rift Valley were genotyped using six microsatellite markers to estimate the genetic diversity and population genetic structure of A. arabiensis. We found that A. arabiensis populations from the Northwestern Highlands and the Great Rift Valley region showed a similar level of genetic diversity. The genetic differentiation (FST) of the five mosquito populations within the Northwestern Highlands region was 0.038 (P < .001), while the two populations within the Great Rift Valley showed little genetic differentiation (FST = 0.007, P < .01). The degree of genetic differentiation between the Northwestern Highlands region and the Great Rift Valley region was small but statistically significant (FST = 0.017, P .05). The low FST estimates for A. arabiensis populations in Ethiopia and Eritrea are consistent with the general population genetic structure of this species in East Africa based on other molecular markers.

Cite

CITATION STYLE

APA

Nyanjom, S. R. G., Chen, H., Gebre-Michael, T., Bekele, E., Shililu, J., Githure, J., … Yan, G. (2003). Population Genetic Structure of Anopheles arabiensis Mosquitoes in Ethiopia and Eritrea. Journal of Heredity, 94(6), 457–463. https://doi.org/10.1093/jhered/esg100

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free