Evidence map›Paper›PMID 21041629›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Exposing malaria in-host diversity and estimating population diversity by capture-recapture using massively parallel pyrosequencing.

Jonathan J Juliano, Kimberly Porter, Victor Mwapasa, Rithy Sem, William O Rogers, Frédéric Ariey, Chansuda Wongsrichanalai, Andrew Read, Steven R Meshnick

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
7.3field-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

84 citing papers in PubMed, 133 citations in OpenAlex.

  1. Review
  2. Population genetics ofFrontiers in genetics · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Genomics reveals heterogeneousmedRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

24 more citing papers are in PubMed but not listed here.

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

9 authors at 6 institutions in 3 countries.

Jonathan J JulianoDivision of Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC 27514, USA. jjuliano@med.unc.edu
Kimberly Porter
Victor Mwapasa
Rithy Sem
William O Rogers
Frédéric Ariey
Chansuda Wongsrichanalai
Andrew Read
Steven R Meshnick
University of North Carolina at Chapel Hill · USNaval Medical Research Command · USCambodia National Malaria Center · KHInstitut Pasteur du Cambodge · KHPennsylvania State University · USUniversity of Malawi · MW

Funding

UNC Clinical Translation Science Award-K12 Scholars Program (KL2)KL2RR025746 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$9.0M
Training in Infectious Disease Epidemiology (TIDE)T32AI070114 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Brian W Pence · 2007 to 2026
$4.0M
Prevalence and fitness of drug resistant minority variant mutations in PlasmodiumR21AI076785 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MESHNICK, STEVEN RICHARD · 2008 to 2009
$404k
NCRR NIH HHS KL2 RR025746NCRR NIH HHS KL2RR025746NIAID NIH HHS 1R21AI076785NIAID NIH HHS R21 AI076785NIAID NIH HHS T32 AI070114NIAID NIH HHS T32-AI070114-01
6 · The paper itself

Abstract

Malaria infections commonly contain multiple genetically distinct variants. Mathematical and animal models suggest that interactions among these variants have a profound impact on the emergence of drug resistance. However, methods currently used for quantifying parasite diversity in individual infections are insensitive to low-abundance variants and are not quantitative for variant population sizes. To more completely describe the in-host complexity and ecology of malaria infections, we used massively parallel pyrosequencing to characterize malaria parasite diversity in the infections of a group of patients. By individually sequencing single strands of DNA in a complex mixture, this technique can quantify uncommon variants in mixed infections. The in-host diversity revealed by this method far exceeded that described by currently recommended genotyping methods, with as many as sixfold more variants per infection. In addition, in paired pre- and posttreatment samples, we show a complex milieu of parasites, including variants likely up-selected and down-selected by drug therapy. As with all surveys of diversity, sampling limitations prevent full discovery and differences in sampling effort can confound comparisons among samples, hosts, and populations. Here, we used ecological approaches of species accumulation curves and capture-recapture to estimate the number of variants we failed to detect in the population, and show that these methods enable comparisons of diversity before and after treatment, as well as between malaria populations. The combination of ecological statistics and massively parallel pyrosequencing provides a powerful tool for studying the evolution of drug resistance and the in-host ecology of malaria infections.

Indexed as

Genetic VariationTemperatureAntigens, ProtozoanAntimalarialsCambodiaFemaleGenotypeHigh-Throughput Nucleotide SequencingHost-Parasite InteractionsHumansMalariaMalawiMolecular Sequence DataMutationPlasmodium falciparumPopulation DensityAntigens, ProtozoanAntimalarialsmerozoite surface protein 2, PlasmodiumProtozoan Proteins

Identifiers

PMID21041629
PMCPMC2993407
OpenAlexW2091422402

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.