Biodiversity Information Science and Standards : Conference Abstract
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Corresponding author: Kathryn M Everson (kmeverson@alaska.edu)
Received: 17 Apr 2018 | Published: 21 May 2018
© 2018 Kathryn Everson, Link Olson
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Everson K, Olson L (2018) Integrating Phylogenetics and Morphology to Study Diversification and Species Limits in Madagascar’s Tenrecs (Tenrecidae). Biodiversity Information Science and Standards 2: e25936. https://doi.org/10.3897/biss.2.25936
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Madagascar is one of the world’s hottest biodiversity hotspots and a natural laboratory for evolutionary research. Tenrecs (Tenrecidae; 32 currently recognized species) – small placental mammals endemic to Madagascar – colonized the island >35 million years ago and have evolved a stunning range of behaviors and morphologies, including heterothermic species; species with hedgehog-like spines; and fossorial, aquatic, and scansorial ecotypes. In 2016, we produced the first taxonomically complete phylogeny of tenrecs, which has served as a framework for studying morphological evolution, phylogeography, and species limits. Most recently, we have built on this phylogeny to incorporate an enormous database of genetic, morphometric, and geographic data from >800 vouchered tenrec specimens. These data have revealed interesting and unexpected aspects of their evolutionary history, including decoupled diversification of the cranium and postcranium. Using a machine learning approach, we have also uncovered numerous new, cryptic species in the family Tenrecidae. As phylogenetic and phenotypic data become more readily available through online repositories, we expect that the same approaches can be applied to other taxonomic groups, providing unprecented resolution of the tree of life.
Madagascar, tenrecs, morphology, phylogenetics, cryptic species, machine learning
Kathryn M. Everson
TDWG 2018 - Biodiversity Information Standards Meeting
Dunedin, New Zealand