Comparative population genomics of island birds reveal contrasting signals of ancient and recent population structure and panmixia

Comparative population genomics of island birds reveal contrasting signals of ancient and recent population structure and panmixia | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Comparative population genomics of island birds reveal contrasting signals of ancient and recent population structure and panmixia Marine HA-SHAN, Christophe Thébaud, Rémi Tournebize, Maëva Gabrielli, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5290559/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 10 You are reading this latest preprint version Abstract The evolutionary history of insular species is linked to the ecology genetic diversity and structure of the founder population as well as the ancestral population that served as a source. Population genetic studies of insular species have focused on single species and their recent post-colonisation history, ignoring the genetic characteristics of ancestral populations. Here we analysed population genomic data from three closely related island birds ( Zosterops ) with varying levels of structure to investigate their recent history and past population structure. The demographic history of each species was investigated using the Structured Non-Stationary Inferential Framework (SNIF). We inferred a number of demes with high and variable estimates for two of the three species, possibly reflecting structure in the ancestral population before colonisation. To explore this possibility, we simulated genomic data under different colonisation models where an ancestral structured population colonised an island once and formed either a panmictic or a structured population. We tested the influence of the colonisation time and the level of structure in both the ancestral and founding populations on SNIF inference. We observed that SNIF correctly inferred the ancient population structure when the colonisation event was recent. When the colonisation time was old enough, SNIF inferred the recent island structure. Lastly, when the population has always been panmictic, SNIF tended to infer high numbers of demes. Altogether our results suggest that none of the simple scenarios studied here can fully explain the complex signatures of population structure and panmixia which we found in our study species. Biological sciences/Genetics/Evolutionary biology Biological sciences/Evolution/Population genetics Full Text Additional Declarations There is no duality of interest Supplementary Files ArticleMarineZosteropsSupplementary12pt.pdf Supplementary MarineHaShanSupplementaryTable.xlsx Table 1 Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: revise 20 Dec, 2024 Review # 3 received at journal 13 Dec, 2024 Review # 1 received at journal 10 Dec, 2024 Review # 2 received at journal 02 Dec, 2024 Reviewer # 3 agreed at journal 08 Nov, 2024 Reviewer # 2 agreed at journal 07 Nov, 2024 Reviewer # 1 agreed at journal 04 Nov, 2024 Reviewers invited by journal 30 Oct, 2024 Editor assigned by journal 18 Oct, 2024 First submitted to journal 18 Oct, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5290559","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":372096171,"identity":"ae5f0f70-7f19-45bc-8f07-0f430350fc53","order_by":0,"name":"Marine 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