» Articles » PMID: 20525233

Multilocus Genotyping Reveals High Heterogeneity and Strong Local Population Structure of the Plasmodium Vivax Population in the Peruvian Amazon

Overview
Journal Malar J
Publisher Biomed Central
Specialty Tropical Medicine
Date 2010 Jun 8
PMID 20525233
Citations 60
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Peru is one of the Latin American countries with the highest malaria burden, mainly due to Plasmodium vivax infections. However, little is known about P. vivax transmission dynamics in the Peruvian Amazon, where most malaria cases occur. The genetic diversity and population structure of P. vivax isolates collected in different communities around Iquitos city, the capital of the Peruvian Amazon, was determined.

Methods: Plasmodium vivax population structure was determined by multilocus genotyping with 16 microsatellites on 159 P. vivax 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 (theta) were estimated.

Results: 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 (IAS 0.14 - 0.61) but was higher in those with fewer polyclonal infections, suggesting inbreeding and a clonal population structure. Strong population differentiation (theta = 0.45) was found and the Bayesian inference cluster analysis identified six clusters based on distinctive allele frequencies.

Conclusion: The P. vivax 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.

Citing Articles

Study protocol: improving response to malaria in the Amazon through identification of inter-community networks and human mobility in border regions of Ecuador, Peru and Brazil.

Janko M, Araujo A, Ascencio E, Guedes G, Vasco L, Santos R BMJ Open. 2024; 14(4):e078911.

PMID: 38626977 PMC: 11029361. DOI: 10.1136/bmjopen-2023-078911.


Population genomic evidence of structured and connected populations under host selection in Latin America.

Kattenberg J, Monsieurs P, De Meyer J, De Meulenaere K, Sauve E, de Oliveira T Ecol Evol. 2024; 14(3):e11103.

PMID: 38529021 PMC: 10961478. DOI: 10.1002/ece3.11103.


Network Profile: Improving Response to Malaria in the Amazon through Identification of Inter-Community Networks and Human Mobility in Border Regions of Ecuador, Peru, and Brazil.

Janko M, Araujo A, Ascencio E, Guedes G, Vasco L, Santos R medRxiv. 2023; .

PMID: 38076857 PMC: 10705622. DOI: 10.1101/2023.11.29.23299202.


Genetic diversity and molecular evolution of Plasmodium vivax Duffy Binding Protein and Merozoite Surface Protein-1 in northwestern Thailand.

Tapaopong P, da Silva G, Chainarin S, Suansomjit C, Manopwisedjaroen K, Cui L Infect Genet Evol. 2023; 113:105467.

PMID: 37330027 PMC: 10548344. DOI: 10.1016/j.meegid.2023.105467.


The impact of sustained malaria control in the Loreto region of Peru: a retrospective, observational, spatially-varying interrupted time series analysis of the PAMAFRO program.

Janko M, Recalde-Coronel G, Damasceno C, Salmon-Mulanovich G, Barbieri A, Lescano A Lancet Reg Health Am. 2023; 20:100477.

PMID: 36970494 PMC: 10036736. DOI: 10.1016/j.lana.2023.100477.


References
1.
Sutton P, Neyra V, Hernandez J, Branch O . Plasmodium falciparum and Plasmodium vivax infections in the Peruvian Amazon: propagation of complex, multiple allele-type infections without super-infection. Am J Trop Med Hyg. 2009; 81(6):950-60. PMC: 3773727. DOI: 10.4269/ajtmh.2009.09-0132. View

2.
Evanno G, Regnaut S, Goudet J . Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005; 14(8):2611-20. DOI: 10.1111/j.1365-294X.2005.02553.x. View

3.
Orjuela-Sanchez P, Santos da Silva N, da Silva-Nunes M, Urbano Ferreira M . Recurrent parasitemias and population dynamics of Plasmodium vivax polymorphisms in rural Amazonia. Am J Trop Med Hyg. 2009; 81(6):961-8. DOI: 10.4269/ajtmh.2009.09-0337. View

4.
Haubold B, Hudson R . LIAN 3.0: detecting linkage disequilibrium in multilocus data. Linkage Analysis. Bioinformatics. 2000; 16(9):847-8. DOI: 10.1093/bioinformatics/16.9.847. View

5.
Bautista C, Chan A, Ryan J, Calampa C, Roper M, Hightower A . Epidemiology and spatial analysis of malaria in the Northern Peruvian Amazon. Am J Trop Med Hyg. 2006; 75(6):1216-22. View