Microsatellite markers reveal low levels of population sub-structuring of Plasmodium falciparum in southwestern Nigeria

Malaria Journal

Research

Yetunde A Olukosi¹  Samson T Awolola¹  Haddy Nyang²  Alfred Amambua-Ngwa²  Davis C Nwakanma²  Emmanuel T Idowu³  Olubunmi A Otubanjo³  Muyiwa K Oyebola⁴ 

[1] Malaria Research Group, Nigerian Institute of Medical Research, Lagos, Nigeria;Medical Research Council, Gambia Unit, Fajara, The Gambia;Parasitology and Bioinformatics, Faculty of Science, University of Lagos, Lagos, Nigeria;Parasitology and Bioinformatics, Faculty of Science, University of Lagos, Lagos, Nigeria;Malaria Research Group, Nigerian Institute of Medical Research, Lagos, Nigeria;

关键词: Genetic diversity;    Plasmodium falciparum;    Linkage disequilibrium;    Population structure;    Genetic differentiation;   

DOI  :  10.1186/1475-2875-13-493

 received in 2014-09-06, accepted in 2014-12-09,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundGenetic diversity studies provide evidence of Plasmodium falciparum differentiation that could affect fitness and adaptation to drugs and target antigens for vaccine development. This study describes the genetic structure of P. falciparum populations in urban and rural sites from southwestern Nigeria.MethodologyTen neutral microsatellite loci were genotyped in 196 P. falciparum infections from three localities: Aramoko-Ekiti, a rural community; Lekki, an urban location and Badagry, a peri-urban border settlement. Analysis was performed on the genetic diversity, linkage disequilibrium, population structure and inter-population differentiation.ResultsAllelic diversity values were similar across all populations, with mean expected heterozygosity (HE) values between 0.65 and 0.79. No matching multilocus haplotypes were found and analysis of multilocus LD showed no significant index of association. Genetic differentiation between populations was low (ΦPT = 0.017).ConclusionThe absence of detectable population structure of P. falciparum in southwestern Nigeria is evident in the lack of significant differentiation between populations separated by about 200 km. This implies that a fairly uniform malaria control strategy may be effective over a wide geographic range in this highly endemic region. However, more wide-scale survey across the country will be required to inform malaria control in this large and densely populated endemic region.

【 授权许可】

Unknown   
© Oyebola et al.; licensee BioMed Central. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.