Evidence map›Paper›PMID 28558831›Full record

ArticleParasites & vectors2017

Genetic diversity of Glossina fuscipes fuscipes along the shores of Lake Victoria in Tanzania and Kenya: implications for management.

Oliver Manangwa, Gamba Nkwengulila, Johnson O Ouma, Furaha Mramba, Imna Malele, Kirsten Dion, Mark Sistrom, Farrah Khan, Serap Aksoy, Adalgisa Caccone

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 7 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 3 countries.

Oliver ManangwaVector and Vector Borne Disease Institute, P. O. Box 1026, Tanga, Tanzania. okijanga@yahoo.com.ORCID http://orcid.org/0000-0002-4738-4860
Gamba NkwengulilaDepartment of Zoology, University of Dar es Salaam, P. O. Box 35064, Dar es Salaam, Tanzania.
Johnson O OumaAfrica Technical Research Centre, Vector Health International, P.O. Box 15500, Arusha, Tanzania.
Furaha MrambaTanzania Veterinary Laboratory Agency (TVLA), P. O. Box 9154, Dar es Salaam, Tanzania.
Imna MaleleVector and Vector Borne Disease Institute, P. O. Box 1026, Tanga, Tanzania.
Kirsten DionDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA.
Mark SistromSchool of Natural Sciences, University of California, Merced, CA, USA.
Farrah KhanDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT, USA.
Serap AksoyYale School of Public Health, Yale University, 60 College Street, New Haven, CT, USA.
Adalgisa CacconeDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA.
Yale University · USVector & Vector-Borne Diseases Research Institute · TZAga Khan Hospital Dar es Salaam · TZKenya Agricultural and Livestock Research Organization · KEUniversity of California, Merced · USUniversity of Dar es Salaam · TZ

Funding

Evolutionary Genetics of Tsetse and Its SymbiontsR01AI068932 · NIAID · YALE UNIVERSITY · PI AKSOY, SERAP, CACCONE, ADALGISA · 2008 to 2018
$7.0M
Tsetse Transmitted African TrypanosomiasisD43TW007391 · FIC · YALE UNIVERSITY · PI AKSOY, SERAP · 2008 to 2017
$1.8M
FIC NIH HHS D43 TW007391NIAID NIH HHS R01 AI068932
6 · The paper itself

Abstract

backgroundTsetse flies (Diptera: Glossinidae) are sole vectors for trypanosomiasis, which affect human health and livestock productivity in Africa. Little is known about the genetic diversity of Glossina fuscipes fuscipes, which is an important species in Tanzania and Kenya. The main objective of the study was to provide baseline data to determine the genetic variability and divergence of G. f. fuscipes in the Lake Victoria basin of Tanzania and Kenya in order to guide future vector control efforts in the region.

findingsTwo hundred and seventy five G. f. fuscipes from 8 sites along the shores of Lake Victoria were screened for genetic polymorphisms at 19 microsatellite loci. Samples were collected from two sites in Kenya and six sites in Tanzania. Four of the Tanzanian sites were located in the Rorya district, on the eastern shores of Lake Victoria, while the other two sites were from Ukerewe and Bukoba districts from the southern and western Lake Victoria shores, respectively. Four genetically distinct allopatric clusters were revealed by microsatellite analysis, which sorted the sampling sites according to geography, with sites separated by as little as ~65 km belonging to distinct genetic clusters, while samples located within ~35 km from each other group in the same cluster.

conclusionOur results suggest that there is ongoing genetic admixture within sampling sites located ~35 km from each other, while sites located ~65 km apart are genetically isolated from each other. Similar patterns emerged from a parallel study on G. f. fuscipes analyzed from the Lake Victoria Uganda shores. From a control perspective these results suggest that for sites within the same genetic cluster, control efforts should be carried out in a coordinated fashion in order to avoid re-invasions. Future work should focus on better quantifying the extent and spatial patterns of the observed genetic discontinuities of the G. f. fuscipes populations along the Tanzanian shores. This will aid in their control by providing guidelines on the geographical extent of the area to be treated at the same time.

Indexed as

Genetic VariationAnimalsInsect VectorsKenyaLakesMicrosatellite RepeatsTanzaniaTsetse FliesGlossina fuscipes fuscipesLake Victoria basinMicrosatellite genetic diversityTrypanosomiasisTsetse flies

Identifiers

PMID28558831
PMCPMC5450392
OpenAlexW2619760648

What OpenQuestion holds

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LicenceCC BY
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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.