Evidence map›Paper›PMID 41222182›Full record

ArticleSystematic biology2026

Gene Flow Complicates Phylogenetic Inference in an Archipelago Radiation.

Ethan F Gyllenhaal, Lukas B Klicka, Lucas H DeCicco, Brian C Weeks, Robert G Moyle, Michael J Andersen

Abstract read
In one paragraph

Article in Systematic 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.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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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

6 authors.

Ethan F GyllenhaalDepartment of Biology and Museum of Southwestern Biology, University of New Mexico, 219 Yale Blvd NE, Albuquerque, NM 87131, USA.ORCID 0000-0002-0835-8520
Lukas B KlickaBiodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, 1345 Jayhawk Blvd, Lawrence, KS 66045, USA.
Lucas H DeCiccoBiodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, 1345 Jayhawk Blvd, Lawrence, KS 66045, USA.
Brian C WeeksSchool for Environment and Sustainability, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, USA.
Robert G MoyleBiodiversity Institute and Department of Ecology and Evolutionary Biology, University of Kansas, 1345 Jayhawk Blvd, Lawrence, KS 66045, USA.
Michael J AndersenDepartment of Biology and Museum of Southwestern Biology, University of New Mexico, 219 Yale Blvd NE, Albuquerque, NM 87131, USA.

Funding

National Science Foundation 2112467National Science Foundation DBI-2410565National Science Foundation DEB-1557051National Science Foundation DEB-1557053National Science Foundation DEB-1601280National Science Foundation DGE-1650114
6 · The paper itself

Abstract

Allopatric divergence is a fundamental component of most traditional models of biogeography and community assembly. Gene flow between allopatric populations should be influenced by the nature of geographic barriers and can have a profound impact on adaptation, the speciation process, and phylogenetic inference. Superspecies-monophyletic groups of taxa with species-level differences in phenotype or genotype that are found exclusively in allopatry or parapatry-present an opportunity to characterize the effects of gene flow on the divergence process. Here, we investigate patterns of gene flow, population structure, and inferred phylogenetic relationships for members of an avian superspecies, the Solomons Monarchs (Aves: Symposiachrus barbatus complex) occupying the Solomon Islands. We found that gene flow among allopatric species matches predictions based on geography, but phylogenetic relationships were not concordant with the most likely colonization history based on a stepping-stone colonization model. Notably, the most isolated island, Makira, has a species that was inferred to be sister to the taxa on all other islands in concatenated phylogenetic analyses, despite Makira being farthest from the presumed original source of immigrants. We use population genetic simulations to demonstrate that such a result could be driven by bias resulting from low levels of gene flow, reflecting a challenge in phylogeographic inference that results when one population is differentially isolated. These simulated findings demonstrate a distinguishability issue in phylogeographic inference, where gene flow and colonization history can be difficult to disentangle.

Indexed as

Gene FlowPasseriformesPhylogenyAnimalsIslandsMelanesiaPhylogeographyArchipelagogene flowisland biogeographyMonarchidaephylogeographysimulation

Identifiers

PMID41222182
PMCPMC13260659

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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.