Evidence map›Paper›PMID 23964962›Full record

ArticleMalaria journal2013

Merozoite surface protein-3 alpha as a genetic marker for epidemiologic studies in Plasmodium vivax: a cautionary note.

Benjamin L Rice, Mónica M Acosta, Maria Andreína Pacheco, Ananias A Escalante

Abstract readEvaluation Study
In one paragraph

Article in Malaria journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Genetic diversity ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  2. Article
  3. PvMSP-3α and PvMSP-3β genotyping reveals higher genetic diversity in Plasmodium vivax parasites from migrant workers than residents at the China-Myanmar border.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
    Article
  4. Review
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  6. 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

4 authors.

Benjamin L RiceCenter for Evolutionary Medicine and Informatics, The Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Mónica M Acosta
Maria Andreína Pacheco
Ananias A Escalante

Funding

Vector Biology Research and Integrated Vector Management For Malaria ControlU19AI089702 · NIAID · CAUCASECO SCIENTIFIC RESEARCH CENTER · PI RAMIREZ, OSCAR · 2010 to 2016
$11.5M
Arizona State University PREP for Biomedical ResearchR25GM071798 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HOGUE, BRENDA G. · 2004 to 2014
$2.4M
Evolution of Plasmodium vivax and Asian Macaque MalariasR01GM080586 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ESCALANTE, ANANIAS ALBERTO · 2008 to 2011
$1.2M
NIAID NIH HHS 1U19AI089702NIGMS NIH HHS R01 GM080586NIGMS NIH HHS R25 GM071798NIGMS NIH HHS R25GM071798
6 · The paper itself

Abstract

backgroundPlasmodium vivax is the most widespread of the human malaria parasites in terms of geography, and is thought to present unique challenges to local efforts aimed at control and elimination. Parasite molecular markers can provide much needed data on P. vivax populations, but few such markers have been critically evaluated. One marker that has seen extensive use is the gene encoding merozoite surface protein 3-alpha (MSP-3α), a blood-stage antigen known to be highly variable among P. vivax isolates. Here, a sample of complete msp-3α gene sequences is analysed in order to assess its utility as a molecular marker for epidemiologic investigations.

methodsAmplification, cloning and sequencing of additional P. vivax isolates from different geographic locations, including a set of Venezuelan field isolates (n = 10), yielded a sample of 48 complete msp-3α coding sequences. Characterization of standard population genetic measures of diversity, phylogenetic analysis, and tests for recombination were performed. This allowed comparisons to patterns inferred from the in silico simulation of a polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) protocol used widely.

resultsThe larger sample of MSP-3α diversity revealed incongruence between the observed levels of nucleotide polymorphism, which were high in all populations, and the pattern of PCR-RFLP haplotype diversity. Indeed, PCR-RFLP haplotypes were not informative of a population's genetic diversity and identical haplotypes could be produced from analogous bands in the commonly used protocol. Evidence of frequent and variable insertion-deletion mutations and recurrent recombination between MSP-3α haplotypes complicated the inference of genetic diversity patterns and reduced the phylogenetic signal.

conclusionsThe genetic diversity of P. vivax msp-3α involves intragenic recombination events. Whereas the high genetic diversity of msp-3α makes it a promising marker for some epidemiological applications, the ability of msp-3α PCR-RFLP analysis to accurately track parasites is limited. Local studies of the circulating alleles are needed before implementing PCR-RFLP approaches. Furthermore, evidence from the global sample analysed here suggests such msp-3α PCR-RFLP methods are not suitable for broad geographic studies or tracking parasite populations for an extended period of time.

Indexed as

Genetic MarkersGenetic VariationAntigens, ProtozoanDNA, ProtozoanEpidemiologic StudiesHumansMalaria, VivaxMolecular EpidemiologyMolecular Sequence DataPlasmodium vivaxPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthProtozoan ProteinsSequence Analysis, DNAAntigens, ProtozoanDNA, ProtozoanGenetic Markersmerozoite surface protein 3, PlasmodiumProtozoan Proteins

Identifiers

PMID23964962
PMCPMC3765194

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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.