Evidence map›Paper›PMID 28759591›Full record

ArticlePLoS neglected tropical diseases2017

Genome-wide diversity and differentiation in New World populations of the human malaria parasite Plasmodium vivax.

Thais C de Oliveira, Priscila T Rodrigues, Maria José Menezes, Raquel M Gonçalves-Lopes, Melissa S Bastos, Nathália F Lima, Susana Barbosa, Alexandra L Gerber, Guilherme Loss de Morais, Luisa Berná and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 61 citations in OpenAlex.

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  13. Genetic diversity ofEpidemiology and infection · 2023
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  15. Review
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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

15 authors at 4 institutions in 3 countries.

Thais C de OliveiraDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Priscila T RodriguesDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Maria José MenezesDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Raquel M Gonçalves-LopesDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Melissa S BastosDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Nathália F LimaDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Susana BarbosaDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Alexandra L GerberUnit of Computational Genomics Darcy Fontoura de Almeida, Laboratory of Bioinformatics, National Laboratory of Scientific Computation, Petrópolis, Brazil.
Guilherme Loss de MoraisUnit of Computational Genomics Darcy Fontoura de Almeida, Laboratory of Bioinformatics, National Laboratory of Scientific Computation, Petrópolis, Brazil.
Luisa BernáUnit of Molecular Biology, Pasteur Institute of Montevideo, Montevideo, Uruguay.
Jody PhelanLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Carlos RobelloUnit of Molecular Biology, Pasteur Institute of Montevideo, Montevideo, Uruguay.
Ana Tereza R de VasconcelosUnit of Computational Genomics Darcy Fontoura de Almeida, Laboratory of Bioinformatics, National Laboratory of Scientific Computation, Petrópolis, Brazil.
João Marcelo P AlvesDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Marcelo U FerreiraDepartment of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-5293-9090
Universidade de São Paulo · BRLaboratório Nacional de Computação Científica · BRInstitut Pasteur de Montevideo · UYLondon School of Hygiene & Tropical Medicine · GB

Funding

Sugar-feeding behavior of the malaria vector Nyssorhynchus darlingi and development of effective attractive toxic sugar baits (ATSB) to increase intervention success in PeruU19AI089681 · NIAID · YALE UNIVERSITY · PI GAZZINELLI, RICARDO TOSTES · 2010 to 2023
$20.1M
NIAID NIH HHS U19 AI089681Wellcome Trust
6 · The paper itself

Abstract

backgroundThe Americas were the last continent colonized by humans carrying malaria parasites. Plasmodium falciparum from the New World shows very little genetic diversity and greater linkage disequilibrium, compared with its African counterparts, and is clearly subdivided into local, highly divergent populations. However, limited available data have revealed extensive genetic diversity in American populations of another major human malaria parasite, P. vivax.

methodsWe used an improved sample preparation strategy and next-generation sequencing to characterize 9 high-quality P. vivax genome sequences from northwestern Brazil. These new data were compared with publicly available sequences from recently sampled clinical P. vivax isolates from Brazil (BRA, total n = 11 sequences), Peru (PER, n = 23), Colombia (COL, n = 31), and Mexico (MEX, n = 19). PRINCIPAL FINDINGS/

conclusionsWe found that New World populations of P. vivax are as diverse (nucleotide diversity π between 5.2 × 10-4 and 6.2 × 10-4) as P. vivax populations from Southeast Asia, where malaria transmission is substantially more intense. They display several non-synonymous nucleotide substitutions (some of them previously undescribed) in genes known or suspected to be involved in antimalarial drug resistance, such as dhfr, dhps, mdr1, mrp1, and mrp-2, but not in the chloroquine resistance transporter ortholog (crt-o) gene. Moreover, P. vivax in the Americas is much less geographically substructured than local P. falciparum populations, with relatively little between-population genome-wide differentiation (pairwise FST values ranging between 0.025 and 0.092). Finally, P. vivax populations show a rapid decline in linkage disequilibrium with increasing distance between pairs of polymorphic sites, consistent with very frequent outcrossing. We hypothesize that the high diversity of present-day P. vivax lineages in the Americas originated from successive migratory waves and subsequent admixture between parasite lineages from geographically diverse sites. Further genome-wide analyses are required to test the demographic scenario suggested by our data.

Indexed as

Genetics, PopulationAntimalarialsBrazilColombiaDNA, ProtozoanDrug ResistanceLinkage DisequilibriumMexicoMultidrug Resistance-Associated Protein 2PeruPlasmodium vivaxPolymorphism, Single NucleotideABCC2 protein, humanAntimalarialsDNA, ProtozoanMultidrug Resistance-Associated Protein 2

Identifiers

PMID28759591
PMCPMC5552344
OpenAlexW2740066316

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Registered trials

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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.