Evidence map›Paper›PMID 35482490›Full record

ArticleGigaScience2022

Message in a Bottle-Metabarcoding enables biodiversity comparisons across ecoregions.

D Steinke, S L deWaard, J E Sones, N V Ivanova, S W J Prosser, K Perez, T W A Braukmann, M Milton, E V Zakharov, J R deWaard and 2 more

Abstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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.

D SteinkeCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.ORCID 0000-0002-8992-575X
S L deWaardCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.ORCID 0000-0001-9778-5454
J E SonesCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.
N V IvanovaCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.
S W J ProsserCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.ORCID 0000-0002-0403-3956
K PerezCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.
T W A BraukmannCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.ORCID 0000-0002-2452-3776
M MiltonCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.
E V ZakharovCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.
J R deWaardCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.
S RatnasinghamCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.ORCID 0000-0002-3694-0171
P D N HebertCentre for Biodiversity Genomics, University of Guelph, 50 Stone Road East, Guelph, ONT N1G 2W1, Canada.ORCID 0000-0002-3081-6700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional biomonitoring approaches have delivered a basic understanding of biodiversity, but they cannot support the large-scale assessments required to manage and protect entire ecosystems. This study used DNA metabarcoding to assess spatial and temporal variation in species richness and diversity in arthropod communities from 52 protected areas spanning 3 Canadian ecoregions.

resultsThis study revealed the presence of 26,263 arthropod species in the 3 ecoregions and indicated that at least another 3,000-5,000 await detection. Results further demonstrate that communities are more similar within than between ecoregions, even after controlling for geographical distance. Overall α-diversity declined from east to west, reflecting a gradient in habitat disturbance. Shifts in species composition were high at every site, with turnover greater than nestedness, suggesting the presence of many transient species.

conclusionsDifferences in species composition among their arthropod communities confirm that ecoregions are a useful synoptic for biogeographic patterns and for structuring conservation efforts. The present results also demonstrate that metabarcoding enables large-scale monitoring of shifts in species composition, making it possible to move beyond the biomass measurements that have been the key metric used in prior efforts to track change in arthropod communities.

Indexed as

ArthropodsEcosystemAnimalsBiodiversityCanadaDNA Barcoding, Taxonomic

Identifiers

PMID35482490
PMCPMC9049109

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Registered trials

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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.