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Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR
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 exploit...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773709/ https://www.ncbi.nlm.nih.gov/pubmed/31575934 http://dx.doi.org/10.1038/s41598-019-50676-1 |
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author | Dell’Agnello, Filippo Natali, Chiara Bertolino, Sandro Fattorini, Lorenzo Fedele, Ettore Foggi, Bruno Martini, Matilde Pisani, Caterina Riga, Francesco Sgarlata, Antonio Ciofi, Claudio Zaccaroni, Marco |
author_facet | Dell’Agnello, Filippo Natali, Chiara Bertolino, Sandro Fattorini, Lorenzo Fedele, Ettore Foggi, Bruno Martini, Matilde Pisani, Caterina Riga, Francesco Sgarlata, Antonio Ciofi, Claudio Zaccaroni, Marco |
author_sort | Dell’Agnello, Filippo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6773709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67737092019-10-04 Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR Dell’Agnello, Filippo Natali, Chiara Bertolino, Sandro Fattorini, Lorenzo Fedele, Ettore Foggi, Bruno Martini, Matilde Pisani, Caterina Riga, Francesco Sgarlata, Antonio Ciofi, Claudio Zaccaroni, Marco Sci Rep Article 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. Nature Publishing Group UK 2019-10-01 /pmc/articles/PMC6773709/ /pubmed/31575934 http://dx.doi.org/10.1038/s41598-019-50676-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Dell’Agnello, Filippo Natali, Chiara Bertolino, Sandro Fattorini, Lorenzo Fedele, Ettore Foggi, Bruno Martini, Matilde Pisani, Caterina Riga, Francesco Sgarlata, Antonio Ciofi, Claudio Zaccaroni, Marco Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR |
title | Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR |
title_full | Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR |
title_fullStr | Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR |
title_full_unstemmed | Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR |
title_short | Assessment of seasonal variation of diet composition in rodents using DNA barcoding and Real-Time PCR |
title_sort | assessment of seasonal variation of diet composition in rodents using dna barcoding and real-time pcr |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773709/ https://www.ncbi.nlm.nih.gov/pubmed/31575934 http://dx.doi.org/10.1038/s41598-019-50676-1 |
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