Using DNA metabarcoding as a novel approach for analysis of platypus diet.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
10 02 2022
Historique:
received: 07 06 2021
accepted: 14 01 2022
entrez: 11 2 2022
pubmed: 12 2 2022
medline: 16 3 2022
Statut: epublish

Résumé

Platypuses (Ornithorhynchus anatinus) forage for macroinvertebrate prey exclusively in freshwater habitats. Because food material in their faeces is well digested and mostly unidentifiable, previous dietary studies have relied on cheek pouch assessments and stable isotope analysis. Given DNA metabarcoding can identify species composition from only fragments of genetic material, we investigated its effectiveness in analysing the diet of platypuses, and to assess variation across seasons and sexes. Of the 18 orders and 60 families identified, Ephemeroptera and Diptera were the most prevalent orders, detected in 100% of samples, followed by Trichoptera, Pulmonata, and Odonata (86.21% of samples). Caenidae and Chironomidae were the most common families. Diptera had a high average DNA read, suggesting it is an important dietary component that may have been underestimated in previous studies. We found no variation in diet between sexes and only minimal changes between seasons. DNA metabarcoding proved to be a highly useful tool for assessing platypus diet, improving prey identification compared to cheek pouch analysis, which can underestimate soft-bodied organisms, and stable isotope analysis which cannot distinguish all taxa isotopically. This will be a useful tool for investigating how platypus prey diversity is impacted by habitat degradation as a result of anthropogenic stressors.

Identifiants

pubmed: 35145160
doi: 10.1038/s41598-022-06023-y
pii: 10.1038/s41598-022-06023-y
pmc: PMC8831530
doi:

Types de publication

Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2247

Informations de copyright

© 2022. The Author(s).

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Auteurs

Tahneal Hawke (T)

Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW, Sydney, NSW, 2052, Australia. t.hawke@unsw.edu.au.

Gilad Bino (G)

Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW, Sydney, NSW, 2052, Australia.

Michael E Shackleton (ME)

Centre for Freshwater Ecosystems (CFE), La Trobe University, University Drive, Wodonga, VIC, 3690, Australia.

Alexandra K Ross (AK)

Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW, Sydney, NSW, 2052, Australia.
Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, NSW, Australia.

Richard T Kingsford (RT)

Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW, Sydney, NSW, 2052, Australia.

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Classifications MeSH