Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/43000
Title: Genetic analyses favour an ancient and natural origin of elephants on Borneo
Authors: Sharma, Reeta
Goossens, Benoit
Heller, Rasmus
Rasteiro, Rita
Othman, Nurzhafarina
Bruford, Michael W.
Chikhi, Lounès
First Published: 17-Jan-2018
Publisher: Nature Research (part of Springer Nature)
Citation: Scientific Reports, 2018, 8, 880
Abstract: The origin of the elephant on the island of Borneo remains elusive. Research has suggested two alternative hypotheses: the Bornean elephant stems either from a recent introduction in the 17th century or from an ancient colonization several hundreds of thousands years ago. Lack of elephant fossils has been interpreted as evidence for a very recent introduction, whereas mtDNA divergence from other Asian elephants has been argued to favor an ancient colonization. We investigated the demographic history of Bornean elephants using full-likelihood and approximate Bayesian computation analyses. Our results are at odds with both the recent and ancient colonization hypotheses, and favour a third intermediate scenario. We find that genetic data favour a scenario in which Bornean elephants experienced a bottleneck during the last glacial period, possibly as a consequence of the colonization of Borneo, and from which it has slowly recovered since. Altogether the data support a natural colonization of Bornean elephants at a time when large terrestrial mammals could colonise from the Sunda shelf when sea levels were much lower. Our results are important not only in understanding the unique history of the colonization of Borneo by elephants, but also for their long-term conservation.
DOI Link: 10.1038/s41598-017-17042-5
eISSN: 2045-2322
Links: https://www.nature.com/articles/s41598-017-17042-5#Abs1
http://hdl.handle.net/2381/43000
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Description: Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-017-17042-5.
Appears in Collections:Published Articles, Dept. of Genetics

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