Evidence map›Paper›PMID 31002694›Full record

ArticlePloS one2019

Rapid high throughput SYBR green assay for identifying the malaria vectors Anopheles arabiensis, Anopheles coluzzii and Anopheles gambiae s.s. Giles.

Joseph Chabi, Arjen Van't Hof, Louis K N'dri, Alex Datsomor, Dora Okyere, Harun Njoroge, Dimitra Pipini, Melinda P Hadi, Dziedzom K de Souza, Takashi Suzuki and 2 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  12. Microorganisms · 2024
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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

12 authors.

Joseph ChabiParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.ORCID 0000-0003-1988-5403
Arjen Van't HofLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Louis K N'driParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Alex DatsomorParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Dora OkyereParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Harun NjorogeKemri-Wellcome Trust Research Programme, Kilifi, Kenya.
Dimitra PipiniLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Melinda P HadiParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Dziedzom K de SouzaParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Takashi SuzukiSection Environmental Parasitology, Kobe-Tokiwa University, Nagata-Ku, Japan.
Samuel K DadzieParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Accra, Ghana.
Helen P JametVestergaard regional office, Washington DC, United States of America.

Funding

Genome-based diagnostics for monitoring and evaluation of insecticide resistance in Anopheles gambiaeR01AI116811 · NIAID · TMLIVERPOOL SCHOOL OF TROPICAL MEDICINE · PI Martin James Donnelly · 2016 to 2026
$4.6M
Medical Research Council MR/P02520X/1NIAID NIH HHS R01 AI116811
6 · The paper itself

Abstract

The Anopheles gambiae sensu lato species complex consists of a number of cryptic species with different habitats and behaviours. These morphologically indistinct species are identified by chromosome banding. Several molecular diagnostic techniques for distinguishing between An. coluzzii and An. gambiae are still under improvement. Although, the current SINE method for identification between An. coluzzii and An. gambiae works reliably, this study describes a refinement of the SINE method to increase sensitivity for identification of An. coluzzii, An. gambiae and An. arabiensis based on amplicon dissociation curve characteristics. Field-collected samples, laboratory-reared colonies and crossed specimens of the two species were used for the design of the protocol. An. gambiae, An. coluzzii, and hybrids of the two species were sampled from Ghana and An. arabiensis from Kenya. Samples were first characterised using conventional SINE PCR method, and further assayed using SYBR green, an intercalating fluorescent dye. The three species and hybrids were clearly differentiated using the melting temperature of the dissociation curves, with derivative peaks at 72°C for An. arabiensis, 75°C for An. gambiae and 86°C for An. coluzzii. The hybrids (An. gambiae / An. coluzzii) showed both peaks. This work is the first to describe a SYBR green real time PCR method for the characterization of An. arabiensis, An. gambiae and An. coluzzii and was purposely designed for basic melt-curve analysis (rather than high-resolution melt-curve) to allow it to be used on a wide range of real-time PCR machines.

Indexed as

AnimalsAnophelesBenzothiazolesDiaminesDNAFluorescent DyesGhanaKenyaMalariaMolecular Diagnostic TechniquesMosquito VectorsOrganic ChemicalsPolymerase Chain ReactionQuinolinesReproducibility of ResultsSensitivity and SpecificityBenzothiazolesDiaminesDNAFluorescent DyesOrganic ChemicalsQuinolinesSYBR Green I

Identifiers

PMID31002694
PMCPMC6474623

What OpenQuestion holds

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LicenceCC BY
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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.