Evidence map›Paper›PMID 30992003›Full record

ArticleMalaria journal2019

Sequence-based identification of Anopheles species in eastern Ethiopia.

Tamar E Carter, Solomon Yared, Shantoy Hansel, Karen Lopez, Daniel Janies

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Tamar E CarterDepartment of Biology, Baylor University, Waco, TX, USA. tamar_carter@baylor.edu.ORCID http://orcid.org/0000-0002-9438-9541
Solomon YaredDepartment of Biology, Jigjiga University, Jigjiga, Ethiopia.
Shantoy HanselDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
Karen LopezDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
Daniel JaniesDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
University of North Carolina at Charlotte · USBaylor University · USJigjiga University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recent finding of a typically non-African Anopheles species in eastern Ethiopia emphasizes the need for detailed species identification and characterization for effective malaria vector surveillance. Molecular approaches increase the accuracy and interoperability of vector surveillance data. To develop effective molecular assays for Anopheles identification, it is important to evaluate different genetic loci for the ability to characterize species and population level variation. Here the utility of the internal transcribed spacer 2 (ITS2) and cytochrome oxidase I (COI) loci for detection of Anopheles species from understudied regions of eastern Ethiopia was investigated.

methodsAdult mosquitoes were collected from the Harewe locality (east) and Meki (east central) Ethiopia. PCR and Sanger sequencing were performed for portions of the ITS2 and COI loci. Both NCBI's Basic Local Alignment Search tool (BLAST) and phylogenetic analysis using a maximum-likelihood approach were performed to identify species of Anopheles specimens.

resultsTwo species from the east Ethiopian collection, Anopheles arabiensis and Anopheles pretoriensis were identified. Analyses of ITS2 locus resulted in delineation of both species. In contrast, analysis of COI locus could not be used to delineate An. arabiensis from other taxa in Anopheles gambiae complex, but could distinguish An. pretoriensis sequences from sister taxa.

conclusionThe lack of clarity from COI sequence analysis highlights potential challenges of species identification within species complexes. These results provide supporting data for the development of molecular assays for delineation of Anopheles in east Ethiopia.

Indexed as

AnimalsAnophelesDNA, Ribosomal SpacerElectron Transport Complex IVEthiopiaMalariaMosquito VectorsPhylogenyPolymerase Chain ReactionSequence Analysis, DNADNA, Ribosomal SpacerElectron Transport Complex IVAnopheles arabiensisCytochrome oxidase subunit IHorn of AfricaInternal transcribed spacer 2MalariaPhylogenetics

Identifiers

PMID30992003
PMCPMC6469081
OpenAlexW2936706172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.