Gene flow accompanies divergence in Beringian birds

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This preprint investigated how divergence, gene flow, and speciation occurred in Beringia by analyzing demographic history in 11 avian lineages across five bird orders using population-, subspecies-, and species-level pairwise comparisons. The authors sequenced nuclear genomes across an average of 3,710 ultraconserved element (UCE) loci and used diffusion-based modeling (δaδi) to infer the best-fit demographic histories from genetic differentiation. All inferred best-fit divergence models included gene flow, and the authors argue this supports a pattern where divergence with gene flow predominated in Beringian bird speciation, corroborating earlier work. A stated caveat is that the study is a preprint and not peer reviewed, so findings may be preliminary. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

The generation and maintenance of biodiversity are driven by population divergence and speciation. We investigated divergence, gene flow, and speciation in Beringia, a region at the top of the North Pacific Ocean with a history of dramatic landscape alteration through Pleistocene glacial cycles. These cycles repeatedly split and connected the Asian and North American continents, separating and reconnecting avian populations. Glacial refugia within Beringia also isolated some populations for a time before potentially enabling them to reunite during interglacial periods. Prior work suggests gene flow plays an important role in the divergence of Beringian birds. To improve our understanding of the generation of avian diversity in Beringia, we tested models of demographic history in 11 lineages from five avian orders (Anseriformes, Gaviiformes, Charadriiformes, Piciformes, and Passeriformes) using population-, subspecies-, and species-level pairwise comparisons. We sequenced an average of 3,710 ultraconserved element (UCEs) loci from the nuclear genomes of these taxa to examine genetic differentiation and test models of divergence through diffusion analysis for demographic inference (δaδi). All of the inferred best-fit models of divergence included gene flow. Together with prior work, this corroborates that divergence with gene flow is the predominant mode of divergence and speciation in Beringian birds.
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Gene flow accompanies divergence in Beringian birds | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Molecular Ecology This is a preprint and has not been peer reviewed. Data may be preliminary. 4 February 2025 V1 Latest version Share on Gene flow accompanies divergence in Beringian birds Authors : Caitlyn Oliver Brown 0009-0000-0903-2840 [email protected] , Travis Glenn 0000-0001-7725-3637 , and Kevin Winker 0000-0002-8985-8104 Authors Info & Affiliations https://doi.org/10.22541/au.173868009.93699733/v1 402 views 191 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The generation and maintenance of biodiversity are driven by population divergence and speciation. We investigated divergence, gene flow, and speciation in Beringia, a region at the top of the North Pacific Ocean with a history of dramatic landscape alteration through Pleistocene glacial cycles. These cycles repeatedly split and connected the Asian and North American continents, separating and reconnecting avian populations. Glacial refugia within Beringia also isolated some populations for a time before potentially enabling them to reunite during interglacial periods. Prior work suggests gene flow plays an important role in the divergence of Beringian birds. To improve our understanding of the generation of avian diversity in Beringia, we tested models of demographic history in 11 lineages from five avian orders (Anseriformes, Gaviiformes, Charadriiformes, Piciformes, and Passeriformes) using population-, subspecies-, and species-level pairwise comparisons. We sequenced an average of 3,710 ultraconserved element (UCEs) loci from the nuclear genomes of these taxa to examine genetic differentiation and test models of divergence through diffusion analysis for demographic inference (δaδi). All of the inferred best-fit models of divergence included gene flow. Together with prior work, this corroborates that divergence with gene flow is the predominant mode of divergence and speciation in Beringian birds. Supplementary Material File (oliverbrown_manuscript_jan2025.docx) Download 518.36 KB Information & Authors Information Version history V1 Version 1 04 February 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Molecular Ecology Keywords beringia divergence gene flow pleistocene glacial cycles population genomics Authors Affiliations Caitlyn Oliver Brown 0009-0000-0903-2840 [email protected] University of Alaska Fairbanks View all articles by this author Travis Glenn 0000-0001-7725-3637 University of Georgia View all articles by this author Kevin Winker 0000-0002-8985-8104 University of Alaska Museum of the North View all articles by this author Metrics & Citations Metrics Article Usage 402 views 191 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Caitlyn Oliver Brown, Travis Glenn, Kevin Winker. Gene flow accompanies divergence in Beringian birds. Authorea . 04 February 2025. DOI: https://doi.org/10.22541/au.173868009.93699733/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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