Evidence map›Paper›PMID 26197892›Full record

ArticleParasites & vectors2015

Mitochondrial DNA sequence divergence and diversity of Glossina fuscipes fuscipes in the Lake Victoria basin of Uganda: implications for control.

Agapitus B Kato, Chaz Hyseni, Loyce M Okedi, Johnson O Ouma, Serap Aksoy, Adalgisa Caccone, Charles Masembe

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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 9 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

7 authors at 5 institutions in 3 countries.

Agapitus B KatoDepartment of Biological Sciences, College of Natural Sciences, Makerere University, Box 7062, Kampala, Uganda. agapituskato@gmail.com.
Chaz HyseniDepartment of Biology, University of Mississippi, Oxford, MS, 38677, USA. chaz.hyseni@gmail.com.
Loyce M OkediNational Livestock Resources Research Institute, Tororo, Uganda. lmokedi@gmail.com.
Johnson O OumaBiotechnology Research Institute, Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya. joouma@gmail.com.
Serap AksoyDivision of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, 06520, USA. joouma@gmail.com.
Adalgisa CacconeDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06520, USA. adalgisa.caccone@yale.edu.
Charles MasembeDepartment of Biological Sciences, College of Natural Sciences, Makerere University, Box 7062, Kampala, Uganda. cmasembe@cns.mak.ac.ug.
Makerere University · UGYale University · USKenya Agricultural and Livestock Research Organization · KENational Agricultural Research Institute · UGUniversity of Mississippi · US

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

backgroundGlossina fuscipes fuscipes is the main vector of African Trypanosomiasis affecting both humans and livestock in Uganda. The human disease (sleeping sickness) manifests itself in two forms: acute and chronic. The Lake Victoria basin in Uganda has the acute form and a history of tsetse re-emergence despite concerted efforts to control tsetse. The government of Uganda has targeted the basin for tsetse eradication. To provide empirical data for this initiative, we screened tsetse flies from the basin for genetic variation at the mitochondrial DNA cytochrome oxidase II (mtDNA COII) gene with the goal of investigating genetic diversity and gene flow among tsetse, tsetse demographic history; and compare these results with results from a previous study based on microsatellite loci data in the same area.

methodsWe collected 429 Gff tsetse fly samples from 14 localities in the entire Ugandan portion of the Lake Victoria coast, covering 40,000 km(2). We performed genetic analyses on them and added data collected for 56 Gff individuals from 4 additional sampling sites in the basin. The 529 pb partial mitochondrial DNA cytochrome oxidase II (mtDNA COII) sequences totaling 485 were analysed for genetic differentiation, structuring and demographic history. The results were compared with findings from a previous study based on microsatellite loci data from the basin.

resultsThe differences within sampling sites explained a significant proportion of the genetic variation. We found three very closely related mtDNA population clusters, which co-occurred in multiple sites. Although Φ ST (0 - 0.592; P < 0.05) and Bayesian analyses suggest some level of weak genetic differentiation, there is no correlation between genetic divergence and geographic distance (r = 0.109, P = 0.185), and demographic tests provide evidence of locality-based demographic history.

conclusionThe mtDNA data analysed here complement inferences made in a previous study based on microsatellite data. Given the differences in mutation rates, mtDNA afforded a look further back in time than microsatellites and revealed that Gff populations were more connected in the past. Microsatellite data revealed more genetic structuring than mtDNA. The differences in connectedness and structuring over time could be related to vector control efforts. Tsetse re-emergence after control interventions may be due to re-invasions from outside the treated areas, which emphasizes the need for an integrated area-wide tsetse eradication strategy for sustainable removal of the tsetse and trypanosomiasis problem from this area.

Indexed as

Evolution, MolecularGenetic VariationAnimalsDNA, MitochondrialGene FlowInsect ControlLakesPhylogenyTsetse FliesUgandaDNA, Mitochondrial

Identifiers

PMID26197892
PMCPMC4511262
OpenAlexW1638623164

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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.