Evidence map›Paper›PMID 39226930›Full record

ArticleProceedings. Biological sciences2024

Amazonian rivers are leaky barriers to gene flow in forest understory birds.

Jason T Weir, Alexandre Aleixo, Paola Pulido-Santacruz

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Jason T WeirDepartment of Ecology and Evolutionary Biology, University of Toronto , Toronto, Ontario M5S 3B2, Canada.ORCID 0000-0001-8372-9937
Alexandre AleixoPós-graduação em Biodiversidade e Evolução, Museu Paraense Emílio Goeldi , Belém 66040-170, Brazil.ORCID 0000-0002-7816-9725
Paola Pulido-SantacruzDepartment of Ecology and Evolutionary Biology, University of Toronto , Toronto, Ontario M5S 3B2, Canada.ORCID 0000-0001-7125-0304

Funding

Amazonia Paraense FoundationBrazilian National Council for Research and DevelopmentFAPESPANatural Sciences and Engineering Research Council of Canada (NSERC)
6 · The paper itself

Abstract

Ever since Alfred Russel Wallace's nineteenth-century observation that related terrestrial species are often separated on opposing riverbanks, major Amazonian rivers have been recognized as key drivers of speciation. However, rivers are dynamic entities whose widths and courses may vary through time. It thus remains unknown how effective rivers are at reducing gene flow and promoting speciation over long timescales. We fit demographic models to genomic sequences to reconstruct the history of gene flow in three pairs of avian taxa fully separated by different Amazonian rivers, and whose geographic ranges do not make contact in headwater regions where rivers may cease to be barriers. Models with gene flow were best fit but still supported an initial period without any gene flow, which ranged from 187 000 to over 959 000 years, suggesting that rivers are capable of initiating speciation through long stretches of allopatric divergence. Allopatry was followed by either bursts or prolonged episodes of gene flow that retarded genomic differentiation but did not fully homogenize populations. Our results support Amazonian rivers as key barriers that promoted speciation and the build-up of species richness, but they also suggest that river barriers are often leaky, with genomic divergence accumulating slowly owing to episodes of substantial gene flow.

Indexed as

BirdsForestsGene FlowGenetic SpeciationRiversAnimalsBrazilAmazonbirdsdemographic modellinggene flowriver barriersspeciation

Identifiers

PMID39226930
PMCPMC11463217

What OpenQuestion holds

Textmetadata
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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.