Evidence map›Paper›PMID 25412166›Full record

ArticlePLoS neglected tropical diseases2014

The Plasmodium vivax merozoite surface protein 3β sequence reveals contrasting parasite populations in southern and northwestern Thailand.

Chaturong Putaporntip, Jun Miao, Napaporn Kuamsab, Jetsumon Sattabongkot, Jeeraphat Sirichaisinthop, Somchai Jongwutiwes, Liwang Cui

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In one paragraph

Article in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  9. Microgeographically diverse Plasmodium vivax populations at the Thai-Myanmar border.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
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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

7 authors at 3 institutions in 2 countries.

Chaturong PutaporntipMolecular Biology of Malaria and Opportunistic Parasites Research Unit, Department of Parasitology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Jun MiaoDepartment of Entomology, The Pennsylvania State University, State College, Pennsylvania, United States of America.
Napaporn KuamsabMolecular Biology of Malaria and Opportunistic Parasites Research Unit, Department of Parasitology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Jetsumon SattabongkotVivax Malaria Research Center, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Jeeraphat SirichaisinthopVector Borne Disease Training Center, Pra Budhabat, Saraburi, Thailand.
Somchai JongwutiwesMolecular Biology of Malaria and Opportunistic Parasites Research Unit, Department of Parasitology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Liwang CuiDepartment of Entomology, The Pennsylvania State University, State College, Pennsylvania, United States of America.
Chulalongkorn University · THPennsylvania State University · USMahidol Oxford Tropical Medicine Research Unit · TH

Funding

Southeast Asia Malaria Research CenterU19AI089672 · NIAID · UNIVERSITY OF SOUTH FLORIDA · PI CUI, LIWANG · 2010 to 2023
$28.9M
Vivax Malaria culture technique and genetic diversity in ThailandD43TW006571 · FIC · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI CUI, LIWANG · 2004 to 2018
$1.9M
FIC NIH HHS D43 TW006571FIC NIH HHS D43-TW006571NIAID NIH HHS U19 AI089672
6 · The paper itself

Abstract

backgroundMalaria control efforts have a significant impact on the epidemiology and parasite population dynamics. In countries aiming for malaria elimination, malaria transmission may be restricted to limited transmission hot spots, where parasite populations may be isolated from each other and experience different selection forces. Here we aim to examine the Plasmodium vivax population divergence in geographically isolated transmission zones in Thailand. METHODOLOGY: We employed the P. vivax merozoite surface protein 3β (PvMSP3β) as a molecular marker for characterizing P. vivax populations based on the extensive diversity of this gene in Southeast Asian parasite populations. To examine two parasite populations with different transmission levels in Thailand, we obtained 45 P. vivax isolates from Tak Province, northwestern Thailand, where the annual parasite incidence (API) was more than 2%, and 28 isolates from Yala and Narathiwat Provinces, southern Thailand, where the API was less than 0.02%. We sequenced the PvMSP3β gene and examined its genetic diversity and molecular evolution between the parasite populations. PRINCIPAL

findingsOf 58 isolates containing single PvMSP3β alleles, 31 sequence types were identified. The overall haplotype diversity was 0.77 ± 0.06 and nucleotide diversity 0.0877±0.0054. The northwestern vivax malaria population exhibited extensive haplotype diversity (HD) of PvMSP3β (HD=1.0). In contrast, the southern parasite population displayed a single PvMSP3β allele (HD=0), suggesting a clonal population expansion. This result revealed that the extent of allelic diversity in P. vivax populations in Thailand varies among endemic areas.

conclusionMalaria parasite populations in a given region may vary significantly in genetic diversity, which may be the result of control and influenced by the magnitude of malaria transmission intensity. This is an issue that should be taken into account for the implementation of P. vivax control measures such as drug policy and vaccine development.

Indexed as

Antigens, ProtozoanDNA, ProtozoanGenetic VariationHumansMalaria, VivaxPhylogenyPlasmodium vivaxThailandAntigens, ProtozoanDNA, Protozoanmerozoite surface protein 3beta

Identifiers

PMID25412166
PMCPMC4238993
OpenAlexW2009560553

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LicenceCC BY
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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.