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Record W4415198814 · doi:10.1093/ornithology/ukaf056

Genetic analysis of <i>Cistothorus palustris</i> (Marsh Wren) across a broad transition zone in Southern Saskatchewan reveals deep divergence and little hybridization between two cultural phenotypes

2025· article· en· W4415198814 on OpenAlexaboutno aff
Donald E. Kroodsma, Devon A. DeRaad, Bruce E. Byers, Donald E. Winslow, F. Keith Barker

Bibliographic record

VenueThe Auk · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsHybrid zoneDivergence (linguistics)Contact zoneMarshSingingGenetic divergenceTraitTransition (genetics)Mimicry

Abstract

fetched live from OpenAlex

Abstract We here explore the relationship between biological and cultural evolution in Cistothorus palustris (Marsh Wren), which across Canada and the United States can be easily differentiated into two geographic groups based on diagnostic western and eastern song types. The wren songs are culturally transmitted, as young males raised in the laboratory readily learn songs of either type. We find that, in cattail- and bulrush-dominated marshes across a &amp;gt; 400-km transition zone in southern Saskatchewan, males of both cultural traditions occur together and defend territories against each other; pure western and pure eastern singers are abundant, and relatively few males have learned songs of both phenotypes. To determine the genetic ancestry of singing males in these two cultural traditions, we generated reduced-representation genomic sequence data for birds from across this contact zone. We find exceptionally high genome-wide divergence between western and eastern singing Marsh Wrens from outside the contact zone (FST = 0.61), potentially the highest between any lineages that form a hybrid zone in the North American Great Plains. In the heart of the contact zone, genetic data indicate an overall low rate of hybrid ancestry, and ancestry is tightly coupled with male song type, suggesting that this cultural trait could play a role in maintaining a strong but imperfect degree of assortative mating. All 9 of the mixed singers (males with both western and eastern songs) that we sequenced were of predominantly eastern ancestry, with 6 of them having 100% eastern genotype. These mismatched individuals could play an outsized role in driving the ongoing generation of hybrid offspring and the introgression of eastern alleles into western populations. Taken together, these genomic and vocal datasets reveal that the western and eastern Marsh Wren song phenotypes represent deeply divergent parapatric lineages despite breeding side-by-side in the same marshes. Although all males are capable of learning the songs of the other genotype, they rarely do, and two cultural traditions representing two genetic ancestries appear to coexist stably in the Great Plains of southern Saskatchewan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.259
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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