Evidence map›Paper›PMID 26613787›Full record

ArticleMolecular biology and evolution2016

Population Structure Shapes Copy Number Variation in Malaria Parasites.

Ian H Cheeseman, Becky Miller, John C Tan, Asako Tan, Shalini Nair, Standwell C Nkhoma, Marcos De Donato, Hectorina Rodulfo, Arjen Dondorp, Oralee H Branch and 8 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  17. The genomic architecture of antimalarial drug resistance.Briefings in functional genomics · 2019
    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

18 authors.

Ian H CheesemanDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX ianc@txbiomed.org.
Becky MillerThe Eck Institute for Global Health, Department of Biological Sciences, University of Notre Dame.
John C TanThe Eck Institute for Global Health, Department of Biological Sciences, University of Notre Dame.
Asako TanThe Eck Institute for Global Health, Department of Biological Sciences, University of Notre Dame.
Shalini NairDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Standwell C NkhomaMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.
Marcos De DonatoLab. Genetica Molecular, IIBCAUDO, Universidad De Oriente, Cumana, Venezuela.
Hectorina RodulfoLab. Genetica Molecular, IIBCAUDO, Universidad De Oriente, Cumana, Venezuela.
Arjen DondorpMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Churchill Hospital, University of Oxford, Oxford, United Kingdom.
Oralee H BranchDivision of Parasitology, Department of Microbiology, New York University School of Medicine.
Lastenia Ruiz MesiaLaboratorio De Investigaciones De Productos Naturales Y Antiparasitarios, Universidad Nacional De La Amazonia Peruana, Iquitos, Peru.
Paul NewtonCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Churchill Hospital, University of Oxford, Oxford, United Kingdom Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR.
Mayfong MayxayCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Churchill Hospital, University of Oxford, Oxford, United Kingdom Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR Faculty of Postgraduate Studies, University of Health Sciences, Vientiane, Lao PDR.
Alfred Amambua-NgwaMedical Research Council Unit, Fajara, Banjul, The Gambia.
David J ConwayMedical Research Council Unit, Fajara, Banjul, The Gambia Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
François NostenCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Churchill Hospital, University of Oxford, Oxford, United Kingdom Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.
Michael T FerdigThe Eck Institute for Global Health, Department of Biological Sciences, University of Notre Dame.
Tim J C AndersonDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.

Funding

Mapping Drug Resistance Genes in Plasmodium falciparumR37AI048071 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI ANDERSON, TIM J · 2012 to 2021
$7.9M
EXTRAMULAR RESEARCH FACILITIES CONSTRUCTIONC06RR017515 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 2003 to 2003
$3.1M
High Performance Computing System for Human GenomicsS10RR029392 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2010 to 2010
$2.1M
Copy Number Variation in Malaria ParasitesR01AI075145 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI ANDERSON, TIM J · 2007 to 2011
$2.0M
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
Medical Research Council MC_EX_MR/K02440X/1Medical Research Council MC_U190081987NCRR NIH HHS C06 RR013556NCRR NIH HHS C06 RR017515NCRR NIH HHS RR017515NCRR NIH HHS S10 RR029392NIAID NIH HHS R01 AI075145NIAID NIH HHS R01AI075145NIAID NIH HHS R37 AI048071NIAID NIH HHS R37AI048071Wellcome Trust 100890
6 · The paper itself

Abstract

If copy number variants (CNVs) are predominantly deleterious, we would expect them to be more efficiently purged from populations with a large effective population size (Ne) than from populations with a small Ne. Malaria parasites (Plasmodium falciparum) provide an excellent organism to examine this prediction, because this protozoan shows a broad spectrum of population structures within a single species, with large, stable, outbred populations in Africa, small unstable inbred populations in South America and with intermediate population characteristics in South East Asia. We characterized 122 single-clone parasites, without prior laboratory culture, from malaria-infected patients in seven countries in Africa, South East Asia and South America using a high-density single-nucleotide polymorphism/CNV microarray. We scored 134 high-confidence CNVs across the parasite exome, including 33 deletions and 102 amplifications, which ranged in size from <500 bp to 59 kb, as well as 10,107 flanking, biallelic single-nucleotide polymorphisms. Overall, CNVs were rare, small, and skewed toward low frequency variants, consistent with the deleterious model. Relative to African and South East Asian populations, CNVs were significantly more common in South America, showed significantly less skew in allele frequencies, and were significantly larger. On this background of low frequency CNV, we also identified several high-frequency CNVs under putative positive selection using an FST outlier analysis. These included known adaptive CNVs containing rh2b and pfmdr1, and several other CNVs (e.g., DNA helicase and three conserved proteins) that require further investigation. Our data are consistent with a significant impact of genetic structure on CNV burden in an important human pathogen.

Indexed as

DNA Copy Number VariationsGenetics, PopulationGene FrequencyGenome, ProtozoanGenomicsGenotypeHaplotypesHumansMalariaPlasmodiumPlasmodium falciparumPolymorphism, Single NucleotideQuality ControlReproducibility of ResultsSelection, Geneticcopy number variationparasitology.population genetics

Identifiers

PMID26613787
PMCPMC4760083

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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.