Evidence map›Paper›PMID 21836185›Full record

ArticleMolecular biology and evolution2012

Gene flow-dependent genomic divergence between Anopheles gambiae M and S forms.

David Weetman, Craig S Wilding, Keith Steen, João Pinto, Martin J Donnelly

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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  14. Population genetics ofEcology and evolution · 2019
    Article
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  20. Tracing the origin of the early wet-seasonEvolutionary applications · 2017
    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

5 authors.

David WeetmanVector Group, Liverpool School of Tropical Medicine, Liverpool, United Kingdom. dweetman@liv.ac.uk
Craig S Wilding
Keith Steen
João Pinto
Martin J Donnelly

Funding

Development of a Field Applicable Screening Tool (FAST) kit for detecting resistaR01AI082734 · NIAID · TMLIVERPOOL SCHOOL OF TROPICAL MEDICINE · PI DONNELLY, MARTIN JAMES · 2009 to 2013
$1.6M
NIAID NIH HHS R01 AI082734NIAID NIH HHS R01AI082734-01
6 · The paper itself

Abstract

Anopheles gambiae sensu stricto exists as two often-sympatric races termed the M and S molecular forms, characterized by fixed differences at an X-linked marker. Extreme divergence between M and S forms at pericentromeric "genomic islands" suggested that selection on variants therein could be driving interform divergence in the presence of ongoing gene flow, but recent work has detected much more widespread genomic differentiation. Whether such genomic islands are important in reproductive isolation or represent ancestral differentiation preserved by low recombination is currently unclear. A critical test of these competing hypotheses could be provided by comparing genomic divergence when rates of recent introgression vary. We genotyped 871 single nucleotide polymorphisms (SNPs) in A. gambiae sensu stricto from locations of M and S sympatry and allopatry, encompassing the full range of observed hybridization rates (0-25%). M and S forms were readily partitioned based on genomewide SNP variation in spite of evidence for ongoing introgression that qualitatively reflects hybridization rates. Yet both the level and the heterogeneity of genomic divergence varied markedly in line with levels of introgression. A few genomic regions of differentiation between M and S were common to each sampling location, the most pronounced being two centromere-proximal speciation islands identified previously but with at least one additional region outside of areas expected to exhibit reduced recombination. Our results demonstrate that extreme divergence at genomic islands does not simply represent segregating ancestral polymorphism in regions of low recombination and can be resilient to substantial gene flow. This highlights the potential for islands comprising a relatively small fraction of the genome to play an important role in early-stage speciation when reproductive isolation is limited.

Indexed as

Evolution, MolecularGene FlowGenetic SpeciationAfrica South of the SaharaAnimalsAnophelesFemaleGenes, InsectGenomicsHaplotypesHybridization, GeneticPolymorphism, Single Nucleotide

Identifiers

PMID21836185
PMCPMC3259608

What OpenQuestion holds

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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.