Evidence map›Paper›PMID 39710726›Full record

ArticleParasites & vectors2024

Multi-locus investigation of Anopheles-mediated selective pressure on Plasmodium falciparum in Africa.

Isuru Gunarathna, Joseph D Spear, Tamar E Carter

Abstract read
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Isuru Gunarathna *Department of Biology, College of Arts and Sciences, Baylor University, Waco, TX, USA.
Joseph D SpearDepartment of Biology, College of Arts and Sciences, Baylor University, Waco, TX, USA.
Tamar E Carter *Department of Biology, College of Arts and Sciences, Baylor University, Waco, TX, USA. tamar_carter@baylor.edu.

Funding

Tracking the spread of a South Asian malaria vector in the Horn of Africa: A genetic approachR15AI151766 · NIAID · BAYLOR UNIVERSITY · PI CARTER, TAMAR · 2020 to 2020
$420k
NIAID NIH HHS R15 AI151766NIH HHS 1R15AI151766
6 · The paper itself

Abstract

backgroundThe high burden of malaria in Africa is largely due to the presence of competent and adapted Anopheles vector species. With invasive Anopheles stephensi implicated in malaria outbreaks in Africa, understanding the genomic basis of vector-parasite compatibility is essential for assessing the risk of future outbreaks due to this mosquito. Vector compatibility with P. falciparum arises from ancient coevolution and involves genes such as Pfs47 in P. falciparum and P47Rec in Anopheles. Questions remain about whether sub-continental vector variation is a selective pressure on current Plasmodium populations.

methodsWe analyzed the genetic diversity in parasite-vector interaction genes in P. falciparum and An. gambiae from 9 and 15 countries in Africa, respectively. Specifically, we looked for evidence of malaria vector-mediated selection within three P. falciparum genes (Pfs47, Pfs16, Pfs37) and conducted association analyses with occurrence probabilities of prominent malaria vectors.

resultsHigher protein haplotype diversities of Pfs47 and Pfs16 were associated with the probability of occurrence of An. arabiensis and An. funestus together. Only Pfs16 carried a signature of positive selection consistently (average Tajima's D = -2.96), which was associated with the probability of occurrence of An. funestus. These findings support vector-mediated selection on the basis of vector species diversity that may be occurring within Africa. We also employed phylogenetic analyses of An. gambiae interaction genes (P47Rec, APN1, HPX15) to identify significant subspecies diversity as a prerequisite to vector-population-mediated selection. Anopheles gambiae HPX15 revealed significant within-species differentiation (multiple branches bootstrap > 70) compared with absence of variation in P47Rec, suggesting that further investigation into subspecies-mediated selection on the basis of HPX15 is needed. Finally, we observed five amino acid changes at P47Rec in invasive An. stephensi compared with dominant African Anopheles species, calling for further investigation of the impact these distinct P47Rec variants might have on local African P. falciparum Pfs47 diversity.

conclusionsOverall, these findings suggest that vector variation within Africa could influence P. falciparum diversity and lay a genomic framework for future investigation of invasive An. stephensi's impact on African malaria.

Indexed as

AnophelesGenetic VariationMosquito VectorsPlasmodium falciparumSelection, GeneticAfricaAnimalsHaplotypesMalaria, FalciparumProtozoan ProteinsProtozoan ProteinsCoevolutionGeneticsVector-mediated selectionVector–parasite interactions

Identifiers

PMID39710726
PMCPMC11665118

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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.