Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR.


Journal

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

Informations de publication

Date de publication:
01 Oct 2019
Historique:
received: 24 10 2018
accepted: 10 09 2019
entrez: 3 10 2019
pubmed: 3 10 2019
medline: 28 10 2020
Statut: epublish

Résumé

The study of animal diet and feeding behaviour is a fundamental tool for the illustration of the ecological role of species in the ecosystem. However, size and quality of food intake samples make it hard for researchers to describe the diet composition of many small species. In our study, we exploited genomic tools for the analysis of the diet composition of the Savi's pine vole (Microtus savii) using DNA barcoding and qPCR techniques for the identification of ingested plant species retrieved from stomach contents. In contrast with previous studies, we found that, despite being a fossorial species, the Savi's pine vole is a selective feeder that undergoes intense superficial activity in search for food. In addition, our study shows that with a a priori knowledge of the candidate plant species included in animal diet, qPCR is a powerful tool to assess presence/absence, frequency of occurrence and electivity of ingested species. We conclude that this approach offers new opportunities to implement the analysis of food selection in small animals, thereby revealing a detailed picture of plant-animal interactions.

Identifiants

pubmed: 31575934
doi: 10.1038/s41598-019-50676-1
pii: 10.1038/s41598-019-50676-1
pmc: PMC6773709
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

14124

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Auteurs

Filippo Dell'Agnello (F)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.

Chiara Natali (C)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.

Sandro Bertolino (S)

Department of Life Sciences and Systems Biology, University of Turin, Via Accademia Albertina 13, 10123, Torino, Italy.

Lorenzo Fattorini (L)

Department of Political Economy and Statistics, University of Siena, Piazza San Francesco 7-8, 53100, Siena, Italy.

Ettore Fedele (E)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.

Bruno Foggi (B)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.

Matilde Martini (M)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.

Caterina Pisani (C)

Department of Political Economy and Statistics, University of Siena, Piazza San Francesco 7-8, 53100, Siena, Italy.

Francesco Riga (F)

Department of Wildlife, Institute for Environmental Protection and Research, Via Brancati 48, 00144, Rome, Italy.

Antonio Sgarlata (A)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.

Claudio Ciofi (C)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.

Marco Zaccaroni (M)

Department of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy. marco.zaccaroni@unifi.it.

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Classifications MeSH