Evidence map›Paper›PMID 42779778›Full record

ArticlebioRxiv : the preprint server for biology2026

Gene tree patterns help answer: vicariance or dispersal?

Anna A Nagel, Michael J Landis, Fábio K Mendes

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anna A NagelDepartment of Biology, Washington University in St. Louis, One Brookings Drive, 63130, MO, USA.ORCID 0000-0001-6067-2800
Michael J LandisDepartment of Biology, Washington University in St. Louis, One Brookings Drive, 63130, MO, USA.ORCID 0000-0002-8672-6966
Fábio K MendesDepartment of Biological Sciences, Louisiana State University, 202 Life Sciences Building, 70803, LA, USA.ORCID 0000-0001-6204-7208

Funding

Phylogenetic modeling of viral transmission dynamics at the human-wildlife interface in UgandaR01TW012704 · FIC · WASHINGTON UNIVERSITY · PI Krista Milich · 2023 to 2026
$2.6M
FIC NIH HHS R01 TW012704
6 · The paper itself

Abstract

Historical biogeography seeks to understand the drivers of species distributions over space and time. One question of interest is how, out of many possible ways, does geography drive speciation. Vicariance, where geographic barriers arise splitting populations and limiting gene flow, can lead to allopatric speciation. Founder events, where a small number of individuals disperse over a barrier, can similarly lead to allopatric speciation if the individuals remain isolated. Both of these scenarios can lead to identical ranges of and relationships between modern species. Classic biogeographic approaches often focus on the history of populations of one or few species on shallow time scales or multiple species on deep time scales. We argue that focusing exclusively on either end of this time spectrum misses a venue for investigating the biogeographic drivers of speciation, at least for certain speciation events. With simple coalescent simulations with multiple species, we show as a proof of concept that gene tree distributions vary predictably between vicariance and founder event speciation. The existence of predictable patterns warrants the development of new approaches that capitalize the gene trees to distinguish vicariance and dispersal as drivers of speciation.

Indexed as

biogeographygene treesmultispecies coalescentphylogeneticsphylogeography

Identifiers

PMID42779778
PMCPMC13596437

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.