Evidence map›Paper›PMID 26719854›Full record

ArticleACS infectious diseases2015

Next-Generation Sequencing of Plasmodium vivax Patient Samples Shows Evidence of Direct Evolution in Drug-Resistance Genes.

Erika L Flannery, Tina Wang, Ali Akbari, Victoria C Corey, Felicia Gunawan, A Taylor Bright, Matthew Abraham, Juan F Sanchez, Meddly L Santolalla, G Christian Baldeviano and 6 more

Abstract read
In one paragraph

Article in ACS infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  11. Novel highly-multiplexed AmpliSeq targeted assay forFrontiers in cellular and infection microbiology · 2022
    Article
  12. Article
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  17. Review
  18. Frontiers in cellular and infection microbiology · 2018
    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

16 authors.

Erika L Flannery
Tina Wang
Ali Akbari
Victoria C Corey
Felicia Gunawan
A Taylor Bright
Matthew Abraham
Juan F SanchezU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Avenida Venezuela Cuadra 36 S/N, Centro Médico Naval, Lima Callao 02, Peru.
Meddly L SantolallaU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Avenida Venezuela Cuadra 36 S/N, Centro Médico Naval, Lima Callao 02, Peru.
G Christian BaldevianoU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Avenida Venezuela Cuadra 36 S/N, Centro Médico Naval, Lima Callao 02, Peru.
Kimberly A EdgelU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Avenida Venezuela Cuadra 36 S/N, Centro Médico Naval, Lima Callao 02, Peru.
Luis A RosalesU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Avenida Venezuela Cuadra 36 S/N, Centro Médico Naval, Lima Callao 02, Peru.
Andrés G LescanoU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Avenida Venezuela Cuadra 36 S/N, Centro Médico Naval, Lima Callao 02, Peru.
Vineet Bafna
Joseph M Vinetz
Elizabeth A Winzeler

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 VINETZ, JOSEPH M. · 2010 to 2023
$20.1M
Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
Peru Infectious Diseases Epidemiology Research Training ConsortiumD43TW007393 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI Andres G Lescano · 2005 to 2026
$5.9M
Discovery of chemically validated malaria liver stage targetsR01AI090141 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2011 to 2019
$3.4M
Defining the targets of broad intervention antimalarial agentsR01AI103058 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2013 to 2016
$2.6M
Identifaction of the genetic basis of primaquine resistance in malaria parasitesF32AI102567 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FLANNERY, ERIKA LEA · 2013 to 2015
$159k
FIC NIH HHS D43 TW007393NIAID NIH HHS F32 AI102567NIAID NIH HHS R01 AI090141NIAID NIH HHS R01 AI103058NIAID NIH HHS U19 AI089681NIGMS NIH HHS T32 GM008666
6 · The paper itself

Abstract

Understanding the mechanisms of drug resistance in Plasmodium vivax, the parasite that causes the most widespread form of human malaria, is complicated by the lack of a suitable long-term cell culture system for this parasite. In contrast to P. falciparum, which can be more readily manipulated in the laboratory, insights about parasite biology need to be inferred from human studies. Here we analyze the genomes of parasites within 10 human P. vivax infections from the Peruvian Amazon. Using next-generation sequencing we show that some P. vivax infections analyzed from the region are likely polyclonal. Despite their polyclonality we observe limited parasite genetic diversity by showing that three or fewer haplotypes comprise 94% of the examined genomes, suggesting the recent introduction of parasites into this geographic region. In contrast we find more than three haplotypes in putative drug-resistance genes, including the gene encoding dihydrofolate reductase-thymidylate synthase and the P. vivax multidrug resistance associated transporter, suggesting that resistance mutations have arisen independently. Additionally, several drug-resistance genes are located in genomic regions with evidence of increased copy number. Our data suggest that whole genome sequencing of malaria parasites from patients may provide more insight about the evolution of drug resistance than genetic linkage or association studies, especially in geographical regions with limited parasite genetic diversity.

Indexed as

clonegenomicshaplotypemalariamutationPlasmodium vivaxrecombination

Identifiers

PMID26719854
PMCPMC4692371

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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.