Evidence map›Paper›PMID 31575934›Full record

ArticleScientific reports2019

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

Filippo Dell'Agnello, Chiara Natali, Sandro Bertolino, Lorenzo Fattorini, Ettore Fedele, Bruno Foggi, Matilde Martini, Caterina Pisani, Francesco Riga, Antonio Sgarlata and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Filippo Dell'AgnelloDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.
Chiara NataliDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.
Sandro BertolinoDepartment of Life Sciences and Systems Biology, University of Turin, Via Accademia Albertina 13, 10123, Torino, Italy.
Lorenzo FattoriniDepartment of Political Economy and Statistics, University of Siena, Piazza San Francesco 7-8, 53100, Siena, Italy.
Ettore FedeleDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.
Bruno FoggiDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.
Matilde MartiniDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.
Caterina PisaniDepartment of Political Economy and Statistics, University of Siena, Piazza San Francesco 7-8, 53100, Siena, Italy.
Francesco RigaDepartment of Wildlife, Institute for Environmental Protection and Research, Via Brancati 48, 00144, Rome, Italy.
Antonio SgarlataDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.
Claudio CiofiDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy.
Marco ZaccaroniDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino (FI), Italy. marco.zaccaroni@unifi.it.ORCID http://orcid.org/0000-0002-3588-6476
University of Florence · ITUniversity of Siena · ITAccademia Albertina delle Belle Arti · ITIstituto Superiore per la Protezione e la Ricerca Ambientale · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AnimalsArvicolinaeClimateDietDNADNA Barcoding, TaxonomicEcosystemFeeding BehaviorFood PreferencesGastrointestinal ContentsReal-Time Polymerase Chain ReactionRodentiaSeasonsDNA

Identifiers

PMID31575934
PMCPMC6773709
OpenAlexW2978624793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.