Evidence map›Paper›PMID 22544247›Full record

ArticleApplied and environmental microbiology2012

Implications of microfauna-host interactions for trypanosome transmission dynamics in Glossina fuscipes fuscipes in Uganda.

Uzma Alam, Chaz Hyseni, Rebecca E Symula, Corey Brelsfoard, Yineng Wu, Oleg Kruglov, Jingwen Wang, Richard Echodu, Victor Alioni, Loyce M Okedi and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  8. Article
  9. Interactions Between Tsetse Endosymbionts andFrontiers in microbiology · 2021
    Article
  10. Review
  11. Review
  12. Article
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  15. Article
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  19. Review
  20. Genetic Differentiation ofThe American journal of tropical medicine and hygiene · 2018
    Article
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

12 authors at 2 institutions in 2 countries.

Uzma AlamYale University School of Public Health, New Haven, Connecticut, USA.
Chaz Hyseni
Rebecca E Symula
Corey Brelsfoard
Yineng Wu
Oleg Kruglov
Jingwen Wang
Richard Echodu
Victor Alioni
Loyce M Okedi
Adalgisa Caccone
Serap Aksoy
Yale University · USNational Agricultural Research Institute · UG

Funding

Evolutionary Genetics of Tsetse and Its SymbiontsR01AI068932 · NIAID · YALE UNIVERSITY · PI AKSOY, SERAP, CACCONE, ADALGISA · 2008 to 2018
$7.0M
Factors In Emergence of New Sleeping Sickness Foci In UgandaR03TW008755 · FIC · YALE UNIVERSITY · PI AKSOY, SERAP · 2011 to 2013
$172k
FIC NIH HHS R03 TW008755NIAID NIH HHS R01 AI068932
6 · The paper itself

Abstract

Tsetse flies (Diptera: Glossinidae) are vectors for African trypanosomes (Euglenozoa: kinetoplastida), protozoan parasites that cause African trypanosomiasis in humans (HAT) and nagana in livestock. In addition to trypanosomes, two symbiotic bacteria (Wigglesworthia glossinidia and Sodalis glossinidius) and two parasitic microbes, Wolbachia and a salivary gland hypertrophy virus (SGHV), have been described in tsetse. Here we determined the prevalence of and coinfection dynamics between Wolbachia, trypanosomes, and SGHV in Glossina fuscipes fuscipes in Uganda over a large geographical scale spanning the range of host genetic and spatial diversity. Using a multivariate analysis approach, we uncovered complex coinfection dynamics between the pathogens and statistically significant associations between host genetic groups and pathogen prevalence. It is important to note that these coinfection dynamics and associations with the host were not apparent by univariate analysis. These associations between host genotype and pathogen are particularly evident for Wolbachia and SGHV where host groups are inversely correlated for Wolbachia and SGHV prevalence. On the other hand, trypanosome infection prevalence is more complex and covaries with the presence of the other two pathogens, highlighting the importance of examining multiple pathogens simultaneously before making generalizations about infection and spatial patterns. It is imperative to note that these novel findings would have been missed if we had employed the standard univariate analysis used in previous studies. Our results are discussed in the context of disease epidemiology and vector control.

Indexed as

AnimalsBiotaHost-Pathogen InteractionsMicrobial InteractionsTrypanosomaTrypanosomiasis, AfricanTsetse FliesUgandaVirusesWolbachia

Identifiers

PMID22544247
PMCPMC3370491
OpenAlexW2090053280

What OpenQuestion holds

Textmetadata
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.