Evidence map›Paper›PMID 25850972›Full record

ArticleMolecular ecology2015

Repeatability, ephemerality and inconvenient truths in the speciation process.

Asher D Cutter

Open access · bronzeAbstract readComment
PubMed Publisher
In one paragraph

Article in Molecular ecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Asher D CutterDepartment of Ecology & Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Everyone appreciates the happy fiction that species conform to the simple theoretical convenience of a single panmictic population. In speciation genetics, a further standard simplification is that it is only those genetic differences that are fixed between diverging populations that need concern us in order to understand the accumulation of intrinsic barriers to reproduction. To a first approximation, of course, both of these assumptions are appropriate and theory based on them provides compelling insights into diverse evolutionary phenomena (Orr & Turelli ). But what else can we learn about the begetting of biodiversity, speciation, by considering explicitly some less convenient realities of natural populations? Specifically, how does genetic variation at incompatibility loci within a species influence interspecies hybridization upon secondary contact? And, in nature, how repeatable among distinct bouts of secondary contact are the genomic outcomes of hybridization? Mandeville et al. () tackle exactly this question in their new study in Molecular Ecology on five species of suckers, fish of the genus Catostomus, that overlap sympatrically in different portions of their subdivided ranges that occupy different rivers. They document substantial genomic heterogeneity in realized hybridization in nature, both among species pairs and among the source populations for hybrids of a given species pair. This imperfect repeatability of episodes of hybridization implies greater permeability of species barriers in some parts of their range, with intriguing consequences for how the integrity of species as independently evolving units could be susceptible to collapse.

Indexed as

Genetics, PopulationHybridization, GeneticReproductive IsolationAnimalsCypriniformesFishHybridizationInvasive SpeciesLandscape GeneticsPopulation Genetics - EmpiricalSpeciation

Identifiers

PMID25850972
OpenAlexW2124570436

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.