Evidence map›Paper›PMID 23036153›Full record

ArticleParasites & vectors2012

The population structure of Glossina fuscipes fuscipes in the Lake Victoria basin in Uganda: implications for vector control.

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

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  4. bioRxiv : the preprint server for biology · 2025
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  13. Genetic Differentiation ofThe American journal of tropical medicine and hygiene · 2018
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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 3 institutions in 3 countries.

Chaz HyseniDepartment of Ecology and Evolutionary Biology, Yale University, 21 Sachem Street, New Haven, CT, USA. chaz.hyseni@aya.yale.edu
Agapitus B Kato
Loyce M Okedi
Charles Masembe
Johnson O Ouma
Serap Aksoy
Adalgisa Caccone
Yale University · USMakerere University · UGKenya Agricultural Research Institute · KE

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
Evidence based control strategies of Sleeping Sickness vectorsR03TW008413 · FIC · YALE UNIVERSITY · PI AKSOY, SERAP · 2010 to 2012
$175k
Factors In Emergence of New Sleeping Sickness Foci In UgandaR03TW008755 · FIC · YALE UNIVERSITY · PI AKSOY, SERAP · 2011 to 2013
$172k
FIC NIH HHS D43 TW007391FIC NIH HHS R03 TW008413FIC NIH HHS R03 TW008755NIAID NIH HHS R01 AI068932
6 · The paper itself

Abstract

backgroundGlossina fuscipes fuscipes is the primary vector of trypanosomiasis in humans and livestock in Uganda. The Lake Victoria basin has been targeted for tsetse eradication using a rolling carpet initiative, from west to east, with four operational blocks (3 in Uganda and 1 in Kenya), under a Pan-African Tsetse and Trypanosomiasis Eradication Campaign (PATTEC). We screened tsetse flies from the three Ugandan PATTEC blocks for genetic diversity at 15 microsatellite loci from continental and offshore populations to provide empirical data to support this initiative.

methodsWe collected tsetse samples from 11 sites across the Lake Victoria basin in Uganda. We performed genetic analyses on 409 of the collected tsetse flies and added data collected for 278 individuals in a previous study. The flies were screened across 15 microsatellite loci and the resulting data were used to assess the temporal stability of populations, to analyze patterns of genetic exchange and structuring, to estimate dispersal rates and evaluate the sex bias in dispersal, as well as to estimate demographic parameters (NE and NC).

resultsWe found that tsetse populations in this region were stable over 4-16 generations and belong to 4 genetic clusters. Two genetic clusters (1 and 2) corresponded approximately to PATTEC blocks 1 and 2, while the other two (3 and 4) fell within PATTEC block 3. Island populations grouped into the same genetic clusters as neighboring mainland sites, suggesting presence of gene flow between these sites. There was no evidence of the stretch of water separating islands from the mainland forming a significant barrier to dispersal. Dispersal rates ranged from 2.5 km per generation in cluster 1 to 14 km per generation in clusters 3 and 4. We found evidence of male-biased dispersal. Few breeders are successfully dispersing over large distances. Effective population size estimates were low (33-310 individuals), while census size estimates ranged from 1200 (cluster 1) to 4100 (clusters 3 and 4). We present here a novel technique that adapts an existing census size estimation method to sampling without replacement, the scheme used in sampling tsetse flies.

conclusionOur study suggests that different control strategies should be implemented for the three PATTEC blocks and that, given the high potential for re-invasion from island sites, mainland and offshore sites in each block should be targeted at the same time.

Indexed as

Genetic VariationPhylogeographyAnimalsCluster AnalysisFemaleMaleMicrosatellite RepeatsTsetse FliesUganda

Identifiers

PMID23036153
PMCPMC3522534
OpenAlexW2115411227

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.