Evidence map›Paper›PMID 37739809›Full record

ReviewCold Spring Harbor perspectives in biology2023

Quantitative Analyses of Coupling in Hybrid Zones.

Thomas J Firneno, Georgy Semenov, Erik B Dopman, Scott A Taylor, Erica L Larson, Zachariah Gompert

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Coupling of Barriers to Gene Exchange: Causes and Consequences.Cold Spring Harbor perspectives in biology · 2024
    Review
  5. 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

6 authors.

Thomas J FirnenoDepartment of Biology, University of Denver, Denver, Colorado 80208, USA.ORCID 0000-0002-4975-2794
Georgy SemenovDepartment of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado 80211, USA.ORCID 0000-0002-7218-7885
Erik B DopmanDepartment of Biology, Tufts University, Medford, Massachusetts 02155, USA.ORCID 0000-0002-8633-5527
Scott A TaylorDepartment of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado 80211, USA.ORCID 0000-0001-9580-9125
Erica L LarsonDepartment of Biology, University of Denver, Denver, Colorado 80208, USA.ORCID 0000-0003-3006-645X
Zachariah GompertDepartment of Biology, Utah State University, Logan, Utah 84321, USA zach.gompert@usu.edu.ORCID 0000-0003-2248-2488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In hybrid zones, whether barrier loci experience selection mostly independently or as a unit depends on the ratio of selection to recombination as captured by the coupling coefficient. Theory predicts a sharper transition between an uncoupled and coupled system when more loci affect hybrid fitness. However, the extent of coupling in hybrid zones has rarely been quantified. Here, we use simulations to characterize the relationship between the coupling coefficient and variance in clines across genetic loci. We then reanalyze 25 hybrid zone data sets and find that cline variances and estimated coupling coefficients form a smooth continuum from high variance and weak coupling to low variance and strong coupling. Our results are consistent with low rates of hybridization and a strong genome-wide barrier to gene flow when the coupling coefficient is much greater than 1, but also suggest that this boundary might be approached gradually and at a near constant rate over time.

Indexed as

Gene FlowHybridization, GeneticGenomeNucleic Acid Hybridization

Identifiers

PMID37739809
PMCPMC10691479

What OpenQuestion holds

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Registered trials

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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.