Contents

What can we learn from faeces? Assessing genotyping success and genetic variability in three mouse-eared bat species from non-invasive genetic sampling


Abstract


In the last century bat populations significantly declined mainly due to habitat fragmentation and degradation. As management-dependent species, bats need appropriate monitoring programs for the implementation of sound conservation strategies. However, bats’ small size, high mobility, elusiveness and nocturnal lifestyle make them difficult to survey. Non-Invasive Genetic Sampling (NIGS) may offer safe and cost-effective solutions, but requires well-planned sampling strategies, informative molecular markers and reliable laboratory protocols. Here we developed a NIGS protocol for species and individual identification of three mouse-eared bats, the Geoffroy’s bat (Myotis emarginatus), the long-fingered bat (Myotis capaccinii) and the Daubenton’s bat (Myotis daubentonii). Species identification was accomplished by mitochondrial (mt) DNA sequencing of reference tissue (n=49) and droppings (n=285) from Central-Northern Italy. In addition, we optimized a multiplex panel of seven microsatellites suitable for species and individual identification of the three species from droppings. We obtained a good success with mtDNA sequencing (245/285; 86%) and microsatellite genotyping (129/245; 53%). All microsatellites were successfully amplified with low error rates, and were polymorphic in the three Myotis species, with probabilities of identity 6 0.001 and observed heterozygosities of Ho=0.48 in M. emarginatus, 0.62 in M. capaccinii and 0.71 in M. daubentonii. Our protocol represents a useful tool for population genetic studies on mouse-eared bats that could likely be extended to other bat species and provide useful information to implement effective conservation plans.

Keywords


dropping DNA; species genetic detection; genotyping success; individual identification; micro satellites; mouse-eared bats; mtDNA; non-invasive genetic sampling.

Full Text:

PDF (online first)


DOI: http://dx.doi.org/10.4404/hystrix-27.2-11835

References



Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


Copyright (c) 2016 Andrea Viglino, Romolo Caniglia, Aritz Ruiz-Gonzalez, Danilo Russo, Marco Galaverni, Roberto Toffoli, Paola Culasso, Paolo De Bernardi, Elena Patriarca, Paolo Agnelli, Felice Farina, Giovanni Mastrobuoni, Adriano Martinoli, Ettore Randi

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Hystrix, the Italian Journal of Mammalogy ISSN 1825-5272 (electronic version) 0394-1914 (printed version) Impact Factor (2015) 4.333, SNIP (2014) 1.01.
Published by Associazione Teriologica Italiana
contacts: info@italian-journal-of-mammalogy.it
Creative Commons LicenseWorks published in Hystrix are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.