en
Scientific article
Open access
English

Novel molecular tools to identify Plecotus bats in sympatry and a review of their distribution in Switzerland

Published inRevue suisse de zoologie, vol. 125, no. 1, p. 61-72
Publication date2018
Abstract

Three species of long-eared bats (Plecotus auritus, P. macrobullaris and P. austriacus) are known to occur in sympatry in Western Europe. They share very similar morphological characters that complicate their reliable discrimination. As a consequence, many records from these areas are reported to the generic level only and the exact distribution of species is uncertain. Even cranial characters are ambiguous since discriminant values traditionally used to identify those species vary with geography. We present a novel use of molecular tools to identify reliably the three cryptic species of long-eared bats. The methods proposed here for time- and cost-effective molecular identification of Plecotus species are applied to variously degraded samples such as ancient museum specimens and guano samples collected under roosts. We used this molecular approach to identify over 810 samples and reassess the distribution range of the three species occurring in Switzerland. We further showed that some skull measurements used for species recognition overlap to a greater extent than anticipated and can be misleading for morphologically intermediate individuals.

Keywords
  • Biodiversity
  • Taxonomy
  • Mammalia
  • Chiroptera
  • Plecotus
  • Molecular identification
  • 16S
  • DNA barcoding
  • Cryptic species
  • Ancient DNA
  • Forensic
  • Mammal identification
Citation (ISO format)
ANDRIOLLO, Tommy, RÜEDI, Manuel. Novel molecular tools to identify Plecotus bats in sympatry and a review of their distribution in Switzerland. In: Revue suisse de zoologie, 2018, vol. 125, n° 1, p. 61–72. doi: 10.5281/zenodo.1196013
Main files (1)
Article (Published version)
Identifiers
ISSN of the journal0035-418X
273views
74downloads

Technical informations

Creation04/04/2019 2:03:00 PM
First validation04/04/2019 2:03:00 PM
Update time03/15/2023 4:05:27 PM
Status update03/15/2023 4:05:27 PM
Last indexation02/12/2024 1:00:08 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack