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Unravelling bird nest arthropod community structure using metabarcoding

View ORCID ProfileValerie Levesque-Beaudin, View ORCID ProfileDirk Steinke, Mieke Böcker, View ORCID ProfileBettina Thalinger
doi: https://doi.org/10.1101/2023.03.09.531929
Valerie Levesque-Beaudin
1Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road E, N1G2W1, Guelph, Ontario, Canada
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Dirk Steinke
1Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road E, N1G2W1, Guelph, Ontario, Canada
2Department of Integrative Biology, College of Biological Science, University of Guelph, 50 Stone Road E, N1G2W1, Guelph, Ontario, Canada
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Mieke Böcker
1Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road E, N1G2W1, Guelph, Ontario, Canada
2Department of Integrative Biology, College of Biological Science, University of Guelph, 50 Stone Road E, N1G2W1, Guelph, Ontario, Canada
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Bettina Thalinger
1Centre for Biodiversity Genomics, University of Guelph, 50 Stone Road E, N1G2W1, Guelph, Ontario, Canada
2Department of Integrative Biology, College of Biological Science, University of Guelph, 50 Stone Road E, N1G2W1, Guelph, Ontario, Canada
3Applied Animal Ecology Research Unit, Department of Zoology, University of Innsbruck, Technikerstr. 25, 6020 Innsbruck, Austria
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  • For correspondence: Bettina.thalinger@gmail.com
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Abstract

Bird nests are fascinating microcosms harboring a wide range of arthropods parasitizing the nesting birds or feeding on prey remains, feces, and the nest material. Studies of these communities have been entirely based on emergence traps which collect live organisms out of the nests. The analysis of nest contents and environmental DNA (eDNA) via metabarcoding could expand our knowledge and identify prey, exuviae, and other animal remains in bird nests.

Here, we investigated the potential of arthropod remains, nest dust, and feathers to better describe taxonomic diversity accumulated in 20 bird nests collected in Guelph (Canada). We used subsampling strategies and tested two extraction approaches to investigate the distribution of DNA in nests, account for low-quality DNA, and the presence of inhibitory substances.

In total, 103 taxa were detected via metabarcoding. Arthropod remains delivered the highest number of taxa (n=67), followed by nest dust (n=29). Extractions with the PowerSoil kit outperformed DNeasy extractions coupled with PowerClean Pro inhibitor removal. The subsamples of the same nest showed 5.5% and 47.1% taxonomic overlap for arthropod remains and PowerSoil extracted nest dust, respectively, indicating a heterogeneous eDNA distribution in nests. Most detected species were either feeding in the nest, i.e., herbivorous / predatory, or bird food. We also detected molecular traces of 25 bird species, whose feathers were likely used as nest material.

Consequently, the metabarcoding of bird nest materials provides a more complete picture of nest communities, which can enable future studies on functional diversity and better comparisons between nesting species.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://doi.org/10.6084/m9.figshare.22203616.v1

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted March 12, 2023.
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Unravelling bird nest arthropod community structure using metabarcoding
Valerie Levesque-Beaudin, Dirk Steinke, Mieke Böcker, Bettina Thalinger
bioRxiv 2023.03.09.531929; doi: https://doi.org/10.1101/2023.03.09.531929
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Unravelling bird nest arthropod community structure using metabarcoding
Valerie Levesque-Beaudin, Dirk Steinke, Mieke Böcker, Bettina Thalinger
bioRxiv 2023.03.09.531929; doi: https://doi.org/10.1101/2023.03.09.531929

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