Evidence map›Paper›PMID 36504374›Full record

ArticleSystematic biology2023

Power of Bayesian and Heuristic Tests to Detect Cross-Species Introgression with Reference to Gene Flow in the Tamias quadrivittatus Group of North American Chipmunks.

Jiayi Ji, Donavan J Jackson, Adam D Leaché, Ziheng Yang

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Article in Systematic biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

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22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  7. When islands collide: Divergence predicts outcomes of secondary contact during the fusion of Sulawesi's paleo-archipelago.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Phylogenetic networks empower biodiversity research.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  10. The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
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  18. Efficient Bayesian inference under the multispecies coalescent with migration.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiayi JiDepartment of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
Donavan J JacksonDepartment of Biology and Burke Museum of Natural History and Culture, University of Washington, Box 351800, Seattle, WA 98195-1800, USA.
Adam D LeachéDepartment of Biology and Burke Museum of Natural History and Culture, University of Washington, Box 351800, Seattle, WA 98195-1800, USA.ORCID 0000-0001-8929-6300
Ziheng YangDepartment of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.ORCID 0000-0003-3351-7981

Funding

Biotechnology and Biological Sciences Research Council BB/R01356X/1Biotechnology and Biological Sciences Research Council BB/T003502/1
6 · The paper itself

Abstract

In the past two decades, genomic data have been widely used to detect historical gene flow between species in a variety of plants and animals. The Tamias quadrivittatus group of North America chipmunks, which originated through a series of rapid speciation events, are known to undergo massive amounts of mitochondrial introgression. Yet in a recent analysis of targeted nuclear loci from the group, no evidence for cross-species introgression was detected, indicating widespread cytonuclear discordance. The study used the heuristic method HYDE to detect gene flow, which may suffer from low power. Here we use the Bayesian method implemented in the program BPP to re-analyze these data. We develop a Bayesian test of introgression, calculating the Bayes factor via the Savage-Dickey density ratio using the Markov chain Monte Carlo (MCMC) sample under the model of introgression. We take a stepwise approach to constructing an introgression model by adding introgression events onto a well-supported binary species tree. The analysis detected robust evidence for multiple ancient introgression events affecting the nuclear genome, with introgression probabilities reaching 63%. We estimate population parameters and highlight the fact that species divergence times may be seriously underestimated if ancient cross-species gene flow is ignored in the analysis. We examine the assumptions and performance of HYDE and demonstrate that it lacks power if gene flow occurs between sister lineages or if the mode of gene flow does not match the assumed hybrid-speciation model with symmetrical population sizes. Our analyses highlight the power of likelihood-based inference of cross-species gene flow using genomic sequence data. [Bayesian test; BPP; chipmunks; introgression; MSci; multispecies coalescent; Savage-Dickey density ratio.].

Indexed as

Gene FlowSciuridaeAnimalsBayes TheoremDNA, MitochondrialHeuristicsLikelihood FunctionsNorth AmericaPhylogenyDNA, Mitochondrial

Identifiers

PMID36504374
PMCPMC10275556

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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.