Journal
ECOLOGY AND EVOLUTION
Volume 11, Issue 12, Pages 7474-7491Publisher
WILEY
DOI: 10.1002/ece3.7579
Keywords
community ecology; diet analysis; DNA barcoding; mammals; tropical ecology
Categories
Funding
- Society for Integrative and Comparative Biology (SICB)
- Explorers Club
- American Museum of Natural History
- American Society of Mammalogists
- Sigma Xi
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Bat communities in the Neotropics are among the most diverse mammals on Earth, but due to their small size, nocturnal behavior, and flight capabilities, detailed dietary information for many species is lacking. A recent study in Belize's tropical dry forests used DNA metabarcoding to investigate the diets of 25 bat species, providing valuable insights into the interaction networks linking bats and their diet items. This study represents a useful methodological framework for future studies exploring coexistence and niche differentiation in bat ecology using modern high-throughput molecular data.
Bat communities in the Neotropics are some of the most speciose assemblages of mammals on Earth, with regions supporting more than 100 sympatric species with diverse feeding ecologies. Because bats are small, nocturnal, and volant, it is difficult to directly observe their feeding habits, which has resulted in their classification into broadly defined dietary guilds (e.g., insectivores, carnivores, and frugivores). Apart from these broad guilds, we lack detailed dietary information for many species and therefore have only a limited understanding of interaction networks linking bats and their diet items. In this study, we used DNA metabarcoding of plants, arthropods, and vertebrates to investigate the diets of 25 bat species from the tropical dry forests of Lamanai, Belize. Our results report some of the first detection of diet items for the focal bat taxa, adding rich and novel natural history information to the field of bat ecology. This study represents a comprehensive first effort to apply DNA metabarcoding to bat diets at Lamanai and provides a useful methodological framework for future studies testing hypotheses about coexistence and niche differentiation in the context of modern high-throughput molecular data.
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