Contrasting genomic epidemiology between sympatric Plasmodium falciparum and Plasmodium vivax populations

The malaria parasites Plasmodium falciparum and Plasmodium vivax differ in key biological processes and associated clinical effects, but consequences on population-level transmission dynamics are difficult to predict. This co-endemic malaria study from Guyana details important epidemiological contrasts between the species by coupling population genomics (1396 spatiotemporally matched parasite genomes, primarily from 2020-21) with sociodemographic analysis (nationwide patient census from 2019). We describe how P. falciparum forms large, interrelated subpopulations that sporadically expand but generally exhibit restrained dispersal, whereby spatial distance and patient travel statistics predict parasite identity-by-descent (IBD). Case bias towards working-age adults is also strongly pronounced. P. vivax exhibits 46% higher average nucleotide diversity (π) and 6.5x lower average IBD. It occupies a wider geographic range, without evidence for outbreak-like expansions, only microgeographic patterns of isolation-by-distance, and weaker case bias towards adults. Possible latency-relapse effects also manifest in various analyses. For example, 11.0% of patients diagnosed with P. vivax in Greater Georgetown report no recent travel to endemic zones, and P. vivax clones recur in 11 of 46 patients incidentally sampled twice during the study. Polyclonality rate is also 2.1x higher than in P. falciparum, does not trend positively with estimated incidence, and correlates uniquely to selected demographics. We discuss possible underlying mechanisms and implications for malaria control.

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Publication Details

Journal
Nature Communications
Published
2024-09-30
DOI
https://doi.org/10.1038/s41467-024-52545-6
Citations
7
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
3.80

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article

Contrasting genomic epidemiology between sympatric Plasmodium falciparum and Plasmodium vivax populations

María Eugenia Grillet, Collette Clementson, David A. Forero‐Peña, Flavia Camponovo et al.
7 citations
Nature Communications
Malaria Research and Control
3.80
article

Contrasting genomic epidemiology between sympatric Plasmodium falciparum and Plasmodium vivax populations

María Eugenia Grillet, Collette Clementson, David A. Forero‐Peña, Flavia Camponovo, Angela M. Early, Caroline O. Buckee, Kashana James, Horace Cox, Óscar Noya, Mathieu Vanhove, Daniel E. Neafsey, Philipp Schwabl, Narine Singh, Reza Niles‐Robin, Margaret Laws, Frank Anthony
article en
7 citations

Abstract

The malaria parasites Plasmodium falciparum and Plasmodium vivax differ in key biological processes and associated clinical effects, but consequences on population-level transmission dynamics are difficult to predict. This co-endemic malaria study from Guyana details important epidemiological contrasts between the species by coupling population genomics (1396 spatiotemporally matched parasite genomes, primarily from 2020-21) with sociodemographic analysis (nationwide patient census from 2019). We describe how P. falciparum forms large, interrelated subpopulations that sporadically expand but generally exhibit restrained dispersal, whereby spatial distance and patient travel statistics predict parasite identity-by-descent (IBD). Case bias towards working-age adults is also strongly pronounced. P. vivax exhibits 46% higher average nucleotide diversity (π) and 6.5x lower average IBD. It occupies a wider geographic range, without evidence for outbreak-like expansions, only microgeographic patterns of isolation-by-distance, and weaker case bias towards adults. Possible latency-relapse effects also manifest in various analyses. For example, 11.0% of patients diagnosed with P. vivax in Greater Georgetown report no recent travel to endemic zones, and P. vivax clones recur in 11 of 46 patients incidentally sampled twice during the study. Polyclonality rate is also 2.1x higher than in P. falciparum, does not trend positively with estimated incidence, and correlates uniquely to selected demographics. We discuss possible underlying mechanisms and implications for malaria control.

Nature CommunicationsVol. 15(1)
Broad Institute (US), Center for Disease Dynamics, Economics & Policy (US), Harvard University (US), Swiss Tropical and Public Health Institute (CH), University of Basel (CH), Petroleum of Venezuela (Venezuela) (VE), Caribbean Public Health Agency (TT), Universidad Central de Venezuela (VE), University of Guyana (GY)
U.S. Department of Health and Human Services, Bill and Melinda Gates Foundation, Broad Institute, Scottish Funding Council, University of Glasgow, National Institutes of Health, Engineering and Physical Sciences Research Council, National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 6%
Malaria Research and Control
3.80
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