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Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding

Ecological theory postulates that niches of co‐occurring species must differ along some ecological dimensions in order to allow their stable coexistence. Yet, many biological systems challenge this competitive exclusion principle. Insectivorous bats from the Northern Hemisphere typically form local...

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Autores principales: Andriollo, Tommy, Michaux, Johan R., Ruedi, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518853/
https://www.ncbi.nlm.nih.gov/pubmed/34245618
http://dx.doi.org/10.1111/mec.16073
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author Andriollo, Tommy
Michaux, Johan R.
Ruedi, Manuel
author_facet Andriollo, Tommy
Michaux, Johan R.
Ruedi, Manuel
author_sort Andriollo, Tommy
collection PubMed
description Ecological theory postulates that niches of co‐occurring species must differ along some ecological dimensions in order to allow their stable coexistence. Yet, many biological systems challenge this competitive exclusion principle. Insectivorous bats from the Northern Hemisphere typically form local assemblages of multiple species sharing highly similar functional traits and pertaining to identical feeding guilds. Although their trophic niche can be accessed with unprecedented details using genetic identification of prey, the underlying mechanisms of resource partitioning remain vastly unexplored. Here, we studied the differential diet of three closely‐related bat species of the genus Plecotus in sympatry and throughout their entire breeding season using DNA metabarcoding. Even at such a small geographic scale, we identified strong seasonal and spatial variation of their diet composition at both intra‐ and interspecific levels. Indeed, while the different bats fed on a distinct array of prey during spring, they showed higher trophic niche overlap during summer and fall, when all three species switched their hunting behaviour to feed on few temporarily abundant moths. By recovering 19 ecological traits for over 600 prey species, we further inferred that each bat species used different feeding grounds and hunting techniques, suggesting that niche partitioning was primarily habitat‐driven. The two most‐closely related bat species exhibited very distinct foraging habitat preferences, while the third, more distantly‐related species was more generalist. These results highlight the need of temporally comprehensive samples to fully understand species coexistence, and that valuable information can be derived from the taxonomic identity of prey obtained by metabarcoding approaches.
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spelling pubmed-85188532021-10-21 Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding Andriollo, Tommy Michaux, Johan R. Ruedi, Manuel Mol Ecol Original Articles Ecological theory postulates that niches of co‐occurring species must differ along some ecological dimensions in order to allow their stable coexistence. Yet, many biological systems challenge this competitive exclusion principle. Insectivorous bats from the Northern Hemisphere typically form local assemblages of multiple species sharing highly similar functional traits and pertaining to identical feeding guilds. Although their trophic niche can be accessed with unprecedented details using genetic identification of prey, the underlying mechanisms of resource partitioning remain vastly unexplored. Here, we studied the differential diet of three closely‐related bat species of the genus Plecotus in sympatry and throughout their entire breeding season using DNA metabarcoding. Even at such a small geographic scale, we identified strong seasonal and spatial variation of their diet composition at both intra‐ and interspecific levels. Indeed, while the different bats fed on a distinct array of prey during spring, they showed higher trophic niche overlap during summer and fall, when all three species switched their hunting behaviour to feed on few temporarily abundant moths. By recovering 19 ecological traits for over 600 prey species, we further inferred that each bat species used different feeding grounds and hunting techniques, suggesting that niche partitioning was primarily habitat‐driven. The two most‐closely related bat species exhibited very distinct foraging habitat preferences, while the third, more distantly‐related species was more generalist. These results highlight the need of temporally comprehensive samples to fully understand species coexistence, and that valuable information can be derived from the taxonomic identity of prey obtained by metabarcoding approaches. John Wiley and Sons Inc. 2021-07-23 2021-09 /pmc/articles/PMC8518853/ /pubmed/34245618 http://dx.doi.org/10.1111/mec.16073 Text en © 2021 The Authors. Molecular Ecology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Andriollo, Tommy
Michaux, Johan R.
Ruedi, Manuel
Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding
title Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding
title_full Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding
title_fullStr Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding
title_full_unstemmed Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding
title_short Food for everyone: Differential feeding habits of cryptic bat species inferred from DNA metabarcoding
title_sort food for everyone: differential feeding habits of cryptic bat species inferred from dna metabarcoding
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518853/
https://www.ncbi.nlm.nih.gov/pubmed/34245618
http://dx.doi.org/10.1111/mec.16073
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