Evidence map›Paper›PMID 33441696›Full record

ArticleScientific reports2021

A pilot study of eDNA metabarcoding to estimate plant biodiversity by an alpine glacier core (Adamello glacier, North Italy).

Claudio Varotto, Massimo Pindo, Elena Bertoni, Christian Casarotto, Federica Camin, Matteo Girardi, Valter Maggi, Antonella Cristofori

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Claudio VarottoResearch and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, TN, Italy.
Massimo PindoResearch and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, TN, Italy.
Elena BertoniUppsala University, Uppsala, Sweden.
Christian CasarottoGeology Department, Science Museum (MUSE), Trento, Italy.
Federica CaminResearch and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, TN, Italy.
Matteo GirardiResearch and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, TN, Italy.
Valter MaggiEarth and Environmental Sciences, University of Milano Bicocca, Milan, Italy.
Antonella CristoforiResearch and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, TN, Italy. antonella.cristofori@fmach.it.
Fondazione Edmund Mach · ITMuseo delle Scienze · ITUniversity of Milano-Bicocca · ITUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current biodiversity loss is a major concern and thus biodiversity assessment of modern ecosystems is compelling and needs to be contextualized on a longer timescale. High Throughput Sequencing (HTS) is progressively becoming a major source of data on biodiversity time series. In this multi proxy study, we tested, for the first time, the potential of HTS to estimate plant biodiversity archived in the surface layers of a temperate alpine glacier, amplifying the trnL barcode for vascular plants from eDNA of firn samples. A 573 cm long core was drilled by the Adamello glacier and cut into sections; produced samples were analyzed for physical properties, stable isotope ratio, and plant biodiversity by eDNA metabarcoding and conventional light microscopy analysis. Results highlighted the presence of pollen and plant remains within the distinct layers of snow, firn and ice. While stable isotope ratio showed a scarcely informative pattern, DNA metabarcoding described distinct plant species composition among the different samples, with a broad taxonomic representation of the biodiversity of the catchment area and a high-ranking resolution. New knowledge on climate and plant biodiversity changes of large catchment areas can be obtained by this novel approach, relevant for future estimates of climate change effects.

Indexed as

BiodiversityClimate ChangeDNA Barcoding, TaxonomicDNA, EnvironmentalDNA, PlantEcosystemEnvironmental MonitoringIce CoverItalyPilot ProjectsPlantsDNA, EnvironmentalDNA, Plant

Identifiers

PMID33441696
PMCPMC7807053
OpenAlexW3119279377

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.