Evidence map›Paper›PMID 26766548›Full record

ArticlePLoS neglected tropical diseases2016

Population Genetics of Plasmodium vivax in the Peruvian Amazon.

Christopher Delgado-Ratto, Dionicia Gamboa, Veronica E Soto-Calle, Peter Van den Eede, Eliana Torres, Luis Sánchez-Martínez, Juan Contreras-Mancilla, Anna Rosanas-Urgell, Hugo Rodriguez Ferrucci, Alejandro Llanos-Cuentas and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 82 citations in OpenAlex.

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  17. Genetic diversity ofLancet regional health. Americas · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 4 countries.

Christopher Delgado-RattoEpidemiology for Global Health Institute, University of Antwerp, Antwerp, Belgium.
Dionicia GamboaInstitute of Tropical Medicine Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Veronica E Soto-CalleInstitute of Tropical Medicine Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Peter Van den EedeDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Eliana TorresInstitute of Tropical Medicine Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Luis Sánchez-MartínezInstitute of Tropical Medicine Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Juan Contreras-MancillaInstitute of Tropical Medicine Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Anna Rosanas-UrgellDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Hugo Rodriguez FerrucciMinistry of Health of Peru, Loreto, Peru.
Alejandro Llanos-CuentasInstitute of Tropical Medicine Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Annette ErhartDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Jean-Pierre Van GeertruydenEpidemiology for Global Health Institute, University of Antwerp, Antwerp, Belgium.
Umberto D'AlessandroDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Universidad Peruana Cayetano Heredia · PEInstituut voor Tropische Geneeskunde · BEUniversity of Antwerp · BEMinistry of Health · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterizing the parasite dynamics and population structure provides useful information to understand the dynamic of transmission and to better target control interventions. Despite considerable efforts for its control, vivax malaria remains a major health problem in Peru. In this study, we have explored the population genetics of Plasmodium vivax isolates from Iquitos, the main city in the Peruvian Amazon, and 25 neighbouring peri-urban as well as rural villages along the Iquitos-Nauta Road. METHODOLOGY/

resultsFrom April to December 2008, 292 P. vivax isolates were collected and successfully genotyped using 14 neutral microsatellites. Analysis of the molecular data revealed a similar proportion of monoclonal and polyclonal infections in urban areas, while in rural areas monoclonal infections were predominant (p = 0.002). Multiplicity of infection was higher in urban (MOI = 1.5-2) compared to rural areas (MOI = 1) (p = 0.003). The level of genetic diversity was similar in all areas (He = 0.66-0.76, p = 0.32) though genetic differentiation between areas was substantial (PHIPT = 0.17, p<0.0001). Principal coordinate analysis showed a marked differentiation between parasites from urban and rural areas. Linkage disequilibrium was detected in all the areas ([Formula: see text] = 0.08-0.49, for all p<0.0001). Gene flow among the areas was stablished through Bayesian analysis of migration models. Recent bottleneck events were detected in 4 areas and a recent parasite expansion in one of the isolated areas. In total, 87 unique haplotypes grouped in 2 or 3 genetic clusters described a sub-structured parasite population. CONCLUSION/SIGNIFICANCE: Our study shows a sub-structured parasite population with clonal propagation, with most of its components recently affected by bottleneck events. Iquitos city is the main source of parasite spreading for all the peripheral study areas. The routes of transmission and gene flow and the reduction of the parasite population described are important from the public health perspective as well for the formulation of future control policies.

Indexed as

Genetic LinkageGenetic VariationGenotypeMicrosatellite RepeatsPeruPlasmodium vivax

Identifiers

PMID26766548
PMCPMC4713096
OpenAlexW2235337769

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.