Unveiling the Hidden Bat Diversity of a Neotropical Montane Forest
dc.contributor.author | Chaverri, Gloriana | |
dc.contributor.author | Garín Atorrasagasti, Ignacio | |
dc.contributor.author | Alberdi Estibaritz, Antton | |
dc.contributor.author | Jiménez Bujanda, Lide | |
dc.contributor.author | Castillo Salazar, Cristian | |
dc.contributor.author | Aiartza Azurtza, José Ramón | |
dc.date.accessioned | 2019-04-17T11:37:30Z | |
dc.date.available | 2019-04-17T11:37:30Z | |
dc.date.issued | 2016-10-05 | |
dc.identifier.citation | PLOS ONE 11(10) : (2016) // Article ID e0162712 | es_ES |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | http://hdl.handle.net/10810/32541 | |
dc.description.abstract | Mountain environments, characterized by high levels of endemism, are at risk of experiencing significant biodiversity loss due to current trends in global warming. While many acknowledge their importance and vulnerability, these ecosystems still remain poorly studied, particularly for taxa that are difficult to sample such as bats. Aiming to estimate the amount of cryptic diversity among bats of a Neotropical montane cloud forest in Talamanca Range-south-east Central America-, we performed a 15-night sampling campaign, which resulted in 90 captured bats belonging to 8 species. We sequenced their mitochondrial cytochrome c oxidase subunit I (COI) and screened their inter-and intraspecific genetic variation. Phylogenetic relations with conspecifics and closely related species from other geographic regions were established using Maximum Likelihood and Bayesian inference methods, as well as median-joining haplotype networks. Mitochondrial lineages highly divergent from hitherto characterized populations (> 9% COI dissimilarity) were found in Myotis oxyotus and Hylonycteris underwoodi. Sturnira burtonlimi and M. keaysi also showed distinct mitochondrial structure with sibling species and/or populations. These results suggest that mountains in the region hold a high degree of endemicity potential that has previously been ignored in bats. They also warn of the high extinction risk montane bats may be facing due to climatic change, particularly in isolated mountain systems like Talamanca Range. | es_ES |
dc.description.sponsorship | This project was supported by the Government of the Basque Country (project IT754-13) to JA and IG. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Public Library Science | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | species-richness patterns | es_ES |
dc.subject | elevational gradient | es_ES |
dc.subject | evolutionary history | es_ES |
dc.subject | cryptic diversity | es_ES |
dc.subject | Costa-Rica | es_ES |
dc.subject | mitochondrial genomes | es_ES |
dc.subject | community structure | es_ES |
dc.subject | tropical mountain | es_ES |
dc.subject | continenta | es_ES |
dc.subject | L-scale | es_ES |
dc.subject | european bats | es_ES |
dc.title | Unveiling the Hidden Bat Diversity of a Neotropical Montane Forest | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2016 Chaverri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0162712 | es_ES |
dc.identifier.doi | 10.1371/journal.pone.0162712 | |
dc.departamentoes | Zoología y biología celular animal | es_ES |
dc.departamentoeu | Zoologia eta animalia zelulen biologia | es_ES |
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Except where otherwise noted, this item's license is described as © 2016 Chaverri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.