Evidence map›Paper›PMID 28193727›Full record

ArticleGenetics2017

Inference of Gene Flow in the Process of Speciation: An Efficient Maximum-Likelihood Method for the Isolation-with-Initial-Migration Model.

Rui J Costa, Hilde Wilkinson-Herbots

Abstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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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

11 citing papers in PubMed.

  1. The effect of habitat loss and fragmentation on isolation by distance and divergence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Efficient Bayesian inference under the multispecies coalescent with migration.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Article
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  8. Article
  9. Whole-genome data reveal the complex history of a diverse ecological community.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  10. Article
  11. 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

2 authors.

Rui J CostaDepartment of Statistical Science, University College London, WC1E 6BT, United Kingdom rui.costa.11@ucl.ac.uk.
Hilde Wilkinson-HerbotsDepartment of Statistical Science, University College London, WC1E 6BT, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The isolation-with-migration (IM) model is commonly used to make inferences about gene flow during speciation, using polymorphism data. However, it has been reported that the parameter estimates obtained by fitting the IM model are very sensitive to the model's assumptions-including the assumption of constant gene flow until the present. This article is concerned with the isolation-with-initial-migration (IIM) model, which drops precisely this assumption. In the IIM model, one ancestral population divides into two descendant subpopulations, between which there is an initial period of gene flow and a subsequent period of isolation. We derive a very fast method of fitting an extended version of the IIM model, which also allows for asymmetric gene flow and unequal population sizes. This is a maximum-likelihood method, applicable to data on the number of segregating sites between pairs of DNA sequences from a large number of independent loci. In addition to obtaining parameter estimates, our method can also be used, by means of likelihood-ratio tests, to distinguish between alternative models representing the following divergence scenarios: (a) divergence with potentially asymmetric gene flow until the present, (b) divergence with potentially asymmetric gene flow until some point in the past and in isolation since then, and (c) divergence in complete isolation. We illustrate the procedure on pairs of

Indexed as

Gene FlowGenetic SpeciationModels, GeneticReproductive IsolationAnimal DistributionAnimalsDrosophilaGenetic LociLikelihood Functionscoalescentgene flowisolationmaximum-likelihoodspeciation

Identifiers

PMID28193727
PMCPMC5378116

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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.