Publication
Niche modelling and landscape genetics of the yellow‐legged hornet (Vespa velutina): An integrative approach for evaluating central–marginal population dynamics in Europe
| dc.contributor.author | Herrera, Cayetano | |
| dc.contributor.author | Pinto, M. Alice | |
| dc.contributor.author | Leza, Mar | |
| dc.contributor.author | Alemany, Iris | |
| dc.contributor.author | Jurado‐Rivera, José A. | |
| dc.date.accessioned | 2024-10-08T09:33:44Z | |
| dc.date.available | 2024-10-08T09:33:44Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Genetic diversity is an important biological trait for a successful invasion. During the expansion across a new territory, an invasive species may face unprecedented ecological conditions that will determine its demography and genetic diversity. The first record of the yellow-legged hornet (Vespa velutina) in Europe dates back to 2004 in France, from where it has successfully spread through a large territory in the continent, including Italy, Spain and Portugal. Integrative approaches offer a powerful strategy to detect and understand patterns of genetic variation in central and marginal populations. Here, we have analysed the relationship between genetic diversity parameters inferred from 15 V. velutina nuclear DNA microsatellite loci, and geographical and environmental drivers, such as the distance to the introduction focus, environmental suitability and distance to native and invasive niche centroids. Our results revealed a central–marginal dynamic, where allelic richness decreased towards the edge of the expansion range. The low environmental suitability of the territories invaded by marginal populations could prevent a diverse population from establishing and reducing the genetic diversity in populations at the expansion edge. Moreover, Markov chain Monte Carlo analysis showed both geographical and environmental distances were influencing population genetic differentiation. This study highlights the importance of combining genetic analysis with geographical and environmental drivers to understand genetic trends of invasive species to new environment. | pt_PT |
| dc.description.sponsorship | This work has been possible thanks to a FPI grant (FPI_014_2020) from the Conselleria d'Educació, Universitat i Recerca del Govern de les Illes Balears and a research mobility grant from the doctorate school of the University of the Balearic Islands (EDUIB), with co-financing from Santander Universities and Universia. Fundação para a Ciência e Tecnologia, Portugal, provided financial support by national funds (FCT/MCTES) to CIMO (UIDB/00690/2020 and UIDP/00690/2020) and SusTEC (LA/P/0007/2021). Finally, thank Miguel Sevilla-Callejo for helping us during the geocoding of the occurrences and the anonymous reviewers for helping us improve the manuscript. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Herrera, Cayetano; Pinto, M. Alice; Leza, Mar; Alemany, Iris; Jurado‐Rivera, José A. (2024). Niche modelling and landscape genetics of the yellow‐legged hornet (Vespa velutina): An integrative approach for evaluating central–marginal population dynamics in Europe. Ecology and Evolution. ISSN 2045-7758. 14:7, p. 1-11 | pt_PT |
| dc.identifier.doi | 10.1002/ece3.70029 | pt_PT |
| dc.identifier.issn | 2045-7758 | |
| dc.identifier.uri | http://hdl.handle.net/10198/30349 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Wiley | pt_PT |
| dc.relation | Mountain Research Center | |
| dc.relation | Mountain Research Center | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Environmental suitability | pt_PT |
| dc.subject | Genetic structure | pt_PT |
| dc.subject | Invasive species | pt_PT |
| dc.subject | Microsatellite | pt_PT |
| dc.subject | Single introduction | pt_PT |
| dc.subject | Vespa velutina | pt_PT |
| dc.title | Niche modelling and landscape genetics of the yellow‐legged hornet (Vespa velutina): An integrative approach for evaluating central–marginal population dynamics in Europe | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 11 | pt_PT |
| oaire.citation.issue | 7 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | Ecology and Evolution | pt_PT |
| oaire.citation.volume | 14 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Pinto | |
| person.givenName | M. Alice | |
| person.identifier.ciencia-id | F814-A1D0-8318 | |
| person.identifier.orcid | 0000-0001-9663-8399 | |
| person.identifier.scopus-author-id | 8085507800 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 0667fe04-7078-483d-9198-56d167b19bc5 | |
| relation.isAuthorOfPublication.latestForDiscovery | 0667fe04-7078-483d-9198-56d167b19bc5 | |
| relation.isProjectOfPublication | 29718e93-4989-42bb-bcbc-4daff3870b25 | |
| relation.isProjectOfPublication | 0aac8939-28c2-46f4-ab6b-439dba7f9942 | |
| relation.isProjectOfPublication | 6255046e-bc79-4b82-8884-8b52074b4384 | |
| relation.isProjectOfPublication.latestForDiscovery | 6255046e-bc79-4b82-8884-8b52074b4384 |
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