Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian Amazon

<p>Abstract</p> <p>Background</p> <p>Peru is one of the Latin American countries with the highest malaria burden, mainly due to <it>Plasmodium vivax </it>infections. However, little is known about <it>P. vivax </it>transmission dynamics in the Pe...

Full description

Bibliographic Details
Main Authors: Rodriguez Hugo, Grande Tanilu, Gamboa Dionicia, Soto-Calle Veronica E, Huyse Tine, Delgado Christopher, Van der Auwera Gert, Van den Eede Peter, Llanos Alejandro, Anné Jozef, Erhart Annette, D'Alessandro Umberto
Format: Article
Language:English
Published: BMC 2010-06-01
Series:Malaria Journal
Online Access:http://www.malariajournal.com/content/9/1/151
id doaj-e53277e2d728449793def828c4fce272
record_format Article
spelling doaj-e53277e2d728449793def828c4fce2722020-11-24T21:33:53ZengBMCMalaria Journal1475-28752010-06-019115110.1186/1475-2875-9-151Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian AmazonRodriguez HugoGrande TaniluGamboa DioniciaSoto-Calle Veronica EHuyse TineDelgado ChristopherVan der Auwera GertVan den Eede PeterLlanos AlejandroAnné JozefErhart AnnetteD'Alessandro Umberto<p>Abstract</p> <p>Background</p> <p>Peru is one of the Latin American countries with the highest malaria burden, mainly due to <it>Plasmodium vivax </it>infections. However, little is known about <it>P. vivax </it>transmission dynamics in the Peruvian Amazon, where most malaria cases occur. The genetic diversity and population structure of <it>P. vivax </it>isolates collected in different communities around Iquitos city, the capital of the Peruvian Amazon, was determined.</p> <p>Methods</p> <p><it>Plasmodium vivax </it>population structure was determined by multilocus genotyping with 16 microsatellites on 159 <it>P. vivax </it>infected blood samples (mono-infections) collected in four sites around Iquitos city. The population characteristics were assessed only in samples with monoclonal infections (n = 94), and the genetic diversity was determined by calculating the expected heterozygosity and allelic richness. Both linkage disequilibrium and the genetic differentiation (<it>θ</it>) were estimated.</p> <p>Results</p> <p>The proportion of polyclonal infections varied substantially by site (11% - 70%), with the expected heterozygosity ranging between 0.44 and 0.69; no haplotypes were shared between the different populations. Linkage disequilibrium was present in all populations (<it>I</it><sub>A</sub><sup>S </sup>0.14 - 0.61) but was higher in those with fewer polyclonal infections, suggesting inbreeding and a clonal population structure. Strong population differentiation (<it>θ </it>= 0.45) was found and the Bayesian inference cluster analysis identified six clusters based on distinctive allele frequencies.</p> <p>Conclusion</p> <p>The <it>P. vivax </it>populations circulating in the Peruvian Amazon basin are genetically diverse, strongly differentiated and they have a low effective recombination rate. These results are in line with the low and clustered pattern of malaria transmission observed in the region around Iquitos city.</p> http://www.malariajournal.com/content/9/1/151
collection DOAJ
language English
format Article
sources DOAJ
author Rodriguez Hugo
Grande Tanilu
Gamboa Dionicia
Soto-Calle Veronica E
Huyse Tine
Delgado Christopher
Van der Auwera Gert
Van den Eede Peter
Llanos Alejandro
Anné Jozef
Erhart Annette
D'Alessandro Umberto
spellingShingle Rodriguez Hugo
Grande Tanilu
Gamboa Dionicia
Soto-Calle Veronica E
Huyse Tine
Delgado Christopher
Van der Auwera Gert
Van den Eede Peter
Llanos Alejandro
Anné Jozef
Erhart Annette
D'Alessandro Umberto
Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian Amazon
Malaria Journal
author_facet Rodriguez Hugo
Grande Tanilu
Gamboa Dionicia
Soto-Calle Veronica E
Huyse Tine
Delgado Christopher
Van der Auwera Gert
Van den Eede Peter
Llanos Alejandro
Anné Jozef
Erhart Annette
D'Alessandro Umberto
author_sort Rodriguez Hugo
title Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian Amazon
title_short Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian Amazon
title_full Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian Amazon
title_fullStr Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian Amazon
title_full_unstemmed Multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>Plasmodium vivax </it>population in the Peruvian Amazon
title_sort multilocus genotyping reveals high heterogeneity and strong local population structure of the <it>plasmodium vivax </it>population in the peruvian amazon
publisher BMC
series Malaria Journal
issn 1475-2875
publishDate 2010-06-01
description <p>Abstract</p> <p>Background</p> <p>Peru is one of the Latin American countries with the highest malaria burden, mainly due to <it>Plasmodium vivax </it>infections. However, little is known about <it>P. vivax </it>transmission dynamics in the Peruvian Amazon, where most malaria cases occur. The genetic diversity and population structure of <it>P. vivax </it>isolates collected in different communities around Iquitos city, the capital of the Peruvian Amazon, was determined.</p> <p>Methods</p> <p><it>Plasmodium vivax </it>population structure was determined by multilocus genotyping with 16 microsatellites on 159 <it>P. vivax </it>infected blood samples (mono-infections) collected in four sites around Iquitos city. The population characteristics were assessed only in samples with monoclonal infections (n = 94), and the genetic diversity was determined by calculating the expected heterozygosity and allelic richness. Both linkage disequilibrium and the genetic differentiation (<it>θ</it>) were estimated.</p> <p>Results</p> <p>The proportion of polyclonal infections varied substantially by site (11% - 70%), with the expected heterozygosity ranging between 0.44 and 0.69; no haplotypes were shared between the different populations. Linkage disequilibrium was present in all populations (<it>I</it><sub>A</sub><sup>S </sup>0.14 - 0.61) but was higher in those with fewer polyclonal infections, suggesting inbreeding and a clonal population structure. Strong population differentiation (<it>θ </it>= 0.45) was found and the Bayesian inference cluster analysis identified six clusters based on distinctive allele frequencies.</p> <p>Conclusion</p> <p>The <it>P. vivax </it>populations circulating in the Peruvian Amazon basin are genetically diverse, strongly differentiated and they have a low effective recombination rate. These results are in line with the low and clustered pattern of malaria transmission observed in the region around Iquitos city.</p>
url http://www.malariajournal.com/content/9/1/151
work_keys_str_mv AT rodriguezhugo multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT grandetanilu multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT gamboadionicia multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT sotocalleveronicae multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT huysetine multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT delgadochristopher multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT vanderauweragert multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT vandeneedepeter multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT llanosalejandro multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT annejozef multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT erhartannette multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
AT dalessandroumberto multilocusgenotypingrevealshighheterogeneityandstronglocalpopulationstructureoftheitplasmodiumvivaxitpopulationintheperuvianamazon
_version_ 1725951381558263808