Evidence map›Paper›PMID 26704134›Full record

ArticleParasites & vectors2015

Delineation of the population genetic structure of Culicoides imicola in East and South Africa.

Maria G Onyango, George N Michuki, Moses Ogugo, Gert J Venter, Miguel A Miranda, Nohal Elissa, Appolinaire Djikeng, Steve Kemp, Peter J Walker, Jean-Bernard Duchemin

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 19 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

10 authors at 6 institutions in 5 countries.

Maria G OnyangoCSIRO Health and Biosecurity, Australian Animal Health Laboratory, 5 Portalington Road, Geelong, VIC, 3220, Australia. Maria.Onyango@csiro.au.
George N MichukiInternational Livestock Research Institute, P.O. Box 30709, 00100, Nairobi, Kenya. mgngondi@gmail.com.
Moses OgugoInternational Livestock Research Institute, P.O. Box 30709, 00100, Nairobi, Kenya. m.ogugo@cgiar.org.
Gert J VenterARC-Onderstepoort Veterinary Institute, Private bag X5, Onderstepoort, 0110, South Africa. VenterG@arc.agric.za.
Miguel A MirandaLaboratoria de Zoologia, University of the Balearic Islands, Palma de Mallorca, CP: 07122, Spain. ma.miranda@uib.es.
Nohal ElissaInstitut Pasteur of Madagascar, B.P. 1274 Ambatofotsikely, 101, Antananarivo, Republic of Madagascar. nelissa@pasteur.mg.
Appolinaire DjikengInternational Livestock Research Institute, P.O. Box 30709, 00100, Nairobi, Kenya. A.Djikeng@cgiar.org.
Steve KempInternational Livestock Research Institute, P.O. Box 30709, 00100, Nairobi, Kenya. s.kemp@cgiar.org.
Peter J WalkerCSIRO Health and Biosecurity, Australian Animal Health Laboratory, 5 Portalington Road, Geelong, VIC, 3220, Australia. Peter.Walker@csiro.au.
Jean-Bernard DucheminCSIRO Health and Biosecurity, Australian Animal Health Laboratory, 5 Portalington Road, Geelong, VIC, 3220, Australia. Jean-Bernard.Duchemin@csiro.au.
International Livestock Research Institute · KEAustralian Centre for Disease Preparedness · AUCSIRO Health and Biosecurity · AUInstitut Pasteur de Madagascar · MGOnderstepoort Veterinary Institute · ZAUniversitat de les Illes Balears · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCulicoides imicola Kieffer, 1913 is the main vector of bluetongue virus (BTV) and African horse sickness virus (AHSV) in Sub-Saharan Africa. Understanding the population genetic structure of this midge and the nature of barriers to gene flow will lead to a deeper understanding of bluetongue epidemiology and more effective vector control in this region.

methodsA panel of 12 DNA microsatellite markers isolated de novo and mitochondrial DNA were utilized in a study of C. imicola populations from Africa and an outlier population from the Balearic Islands. The DNA microsatellite markers and mitochondrial DNA were also used to examine a population of closely related C. bolitinos Meiswinkel midges.

resultsThe microsatellite data suggest gene flow between Kenya and south-west Indian Ocean Islands exist while a restricted gene flow between Kenya and South Africa C. imicola populations occurs. Genetic distance correlated with geographic distance by Mantel test. The mitochondrial DNA analysis results imply that the C. imicola populations from Kenya and south-west Indian Ocean Islands (Madagascar and Mauritius) shared haplotypes while C. imicola population from South Africa possessed private haplotypes and the highest nucleotide diversity among the African populations. The Bayesian skyline plot suggested a population growth.

conclusionsThe gene flow demonstrated by this study indicates a potential risk of introduction of new BTV serotypes by wind-borne infected Culicoides into the Islands. Genetic similarity between Mauritius and South Africa may be due to translocation as a result of human-induced activities; this could impact negatively on the livestock industry. The microsatellite markers isolated in this study may be utilised to study C. bolitinos, an important vector of BTV and AHSV in Africa and identify sources of future incursions.

Indexed as

Africa, EasternAnimalsCeratopogonidaeDNA, MitochondrialGene FlowGenetics, PopulationHaplotypesInsect VectorsMicrosatellite RepeatsMolecular Sequence DataPhylogeographySequence Analysis, DNASouth AfricaDNA, Mitochondrial

Identifiers

PMID26704134
PMCPMC4690384
OpenAlexW2220411344

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.