Evidence map›Paper›PMID 30081911›Full record

ArticleMalaria journal2018

Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda.

Rachel M Wiltshire, Christina M Bergey, Jonathan K Kayondo, Josephine Birungi, Louis G Mukwaya, Scott J Emrich, Nora J Besansky, Frank H Collins

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

8 authors.

Rachel M WiltshireEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA. rwiltshi@nd.edu.ORCID http://orcid.org/0000-0001-5199-4883
Christina M BergeyDepartments of Anthropology and Biology, The Pennsylvania State University, University Park, PA, 16802, USA.
Jonathan K KayondoDivision of Entomology and Vector Biology, Uganda Virus Research Institute, Plot No. 51-59, Nakiwogo Road, Entebbe 49, Uganda.
Josephine BirungiDivision of Entomology and Vector Biology, Uganda Virus Research Institute, Plot No. 51-59, Nakiwogo Road, Entebbe 49, Uganda.
Louis G MukwayaDivision of Entomology and Vector Biology, Uganda Virus Research Institute, Plot No. 51-59, Nakiwogo Road, Entebbe 49, Uganda.
Scott J EmrichDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996, USA.
Nora J BesanskyEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
Frank H CollinsEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.

Funding

Empowering functional genomics of An. gambiae through inversion genotypingR01AI125360 · NIAID · UNIVERSITY OF NOTRE DAME · PI BESANSKY, NORA JESSIE · 2017 to 2021
$2.5M
Elucidating the An. Funestus complexR21AI123491 · NIAID · UNIVERSITY OF NOTRE DAME · PI BESANSKY, NORA JESSIE · 2016 to 2017
$437k
Bill and Melinda Gates Foundation 45114National Institute of Allergy and Infectious Diseases HHSN272201400029CNational Institutes of Health AI23491National Institutes of Health AI25360NIAID NIH HHS HHSN272201400029CNIAID NIH HHS R01 AI125360NIAID NIH HHS R21 AI123491
6 · The paper itself

Abstract

backgroundMalaria is the leading cause of global paediatric mortality in children below 5 years of age. The number of fatalities has reduced significantly due to an expansion of control interventions but the development of new technologies remains necessary in order to achieve elimination. Recent attention has been focused on the release of genetically modified (GM) mosquitoes into natural vector populations as a mechanism of interrupting parasite transmission but despite successful in vivo laboratory studies, a detailed population genetic assessment, which must first precede any proposed field trial, has yet to be undertaken systematically. Here, the genetic structure of Anopheles gambiae populations in north-western Lake Victoria is explored to assess their suitability as candidates for a pilot field study release of GM mosquitoes.

methods478 Anopheles gambiae mosquitoes were collected from six locations and a subset (N = 96) was selected for restriction site-associated DNA sequencing (RADseq). The resulting single nucleotide polymorphism (SNP) marker set was analysed for effective size (N

results5175 high-quality genome-wide SNPs were identified. A principal components analysis (PCA) of the collinear genomic regions illustrated that individuals clustered in concordance with geographic origin with some overlap between sites. Genetic differentiation between populations was varied with inter-island comparisons having the highest values (median F

conclusionsA reduced-representation SNP marker set for genome-wide An. gambiae genetic analysis in the north-western Lake Victoria basin is reported. Island populations demonstrated low to moderate genetic differentiation and greater structure suggesting some limitation to migration. Smaller estimates of N

Indexed as

Genome, InsectGenome-Wide Association StudyPolymorphism, Single NucleotideAnimalsAnophelesGenetic MarkersPopulation DensitySequence Analysis, DNAUgandaGenetic MarkersAnopheles gambiaeEffective population sizePopulation structureRADseqSingle nucleotide polymorphismSNPSsese IslandsUganda

Identifiers

PMID30081911
PMCPMC6080216

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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.