Evidence map›Paper›PMID 30471158›Full record

ArticleMolecular ecology2019

The population genomics of multiple tsetse fly (Glossina fuscipes fuscipes) admixture zones in Uganda.

Norah P Saarman, Robert Opiro, Chaz Hyseni, Richard Echodu, Elizabeth A Opiyo, Kirstin Dion, Thomas Johnson, Serap Aksoy, Adalgisa Caccone

Open access · greenAbstract read
In one paragraph

Article in Molecular ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Genomic evidence of sex chromosome aneuploidy and infection-associated genotypes in the tsetse fly Glossina fuscipes, the major vector of African trypanosomiasis in Uganda.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Review
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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

9 authors at 3 institutions in 2 countries.

Norah P SaarmanDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut.ORCID 0000-0001-8974-0301
Robert OpiroDepartment of Biology, Faculty of Science, Gulu University, Uganda.
Chaz HyseniDepartment of Biology, University of Mississippi, Oxford, Mississippi.ORCID 0000-0003-2567-8013
Richard EchoduDepartment of Biology, Faculty of Science, Gulu University, Uganda.
Elizabeth A OpiyoDepartment of Biology, Faculty of Science, Gulu University, Uganda.
Kirstin DionDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut.
Thomas JohnsonDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut.
Serap AksoyDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut.
Adalgisa CacconeDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut.
Yale University · USGulu University · 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
Training in Parasitology and Vector BiologyT32AI007404 · NIAID · YALE UNIVERSITY · PI TSCHUDI, CHRISTIAN · 1991 to 2017
$3.8M
Tsetse Transmitted African TrypanosomiasisD43TW007391 · FIC · YALE UNIVERSITY · PI AKSOY, SERAP · 2008 to 2017
$1.8M
FIC NIH HHS D43TW0FIC NIH HHS D43 TW007391Foundation for the National Institutes of Health 5T32AI007404-24Foundation for the National Institutes of Health AI068932NIAID NIH HHS R01 AI068932NIAID NIH HHS T32 AI007404
6 · The paper itself

Abstract

Understanding the mechanisms that enforce, maintain or reverse the process of speciation is an important challenge in evolutionary biology. This study investigates the patterns of divergence and discusses the processes that form and maintain divergent lineages of the tsetse fly Glossina fuscipes fuscipes in Uganda. We sampled 251 flies from 18 sites spanning known genetic lineages and the four admixture zones between them. We apply population genomics, hybrid zone and approximate Bayesian computation to the analysis of three types of genetic markers: 55,267 double-digest restriction site-associated DNA (ddRAD) SNPs to assess genome-wide admixture, 16 microsatellites to provide continuity with published data and accurate biogeographic modelling, and a 491-bp fragment of mitochondrial cytochrome oxidase I and II to infer maternal inheritance patterns. Admixture zones correspond with regions impacted by the reorganization of Uganda's river networks that occurred during the formation of the West African Rift system over the last several hundred thousand years. Because tsetse fly population distributions are defined by rivers, admixture zones likely represent both old and new regions of secondary contact. Our results indicate that older hybrid zones contain mostly parental types, while younger zones contain variable hybrid types resulting from multiple generations of interbreeding. These findings suggest that reproductive barriers are nearly complete in the older admixture zones, while nearly absent in the younger admixture zones. Findings are consistent with predictions of hybrid zone theory: Populations in zones of secondary contact transition rapidly from early to late stages of speciation or collapse all together.

Indexed as

Genetic SpeciationMetagenomicsAnimalsBayes TheoremDNA, MitochondrialGenome, InsectHaplotypesHybridization, GeneticMicrosatellite RepeatsTsetse FliesUgandaDNA, MitochondrialddRADhybridizationpopulation genomicsspeciationtrypanosomiasisvector

Identifiers

PMID30471158
PMCPMC9642080
OpenAlexW2901609750

What OpenQuestion holds

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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.