Evidence map›Paper›PMID 33206700›Full record

ArticlePloS one2020

Freshwater diatom biomonitoring through benthic kick-net metabarcoding.

Victoria Carley Maitland, Chloe Victoria Robinson, Teresita M Porter, Mehrdad Hajibabaei

Abstract read
In one paragraph

Article in PloS one, 2020. 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
–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

6 citing papers in PubMed.

  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

4 authors.

Victoria Carley MaitlandCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.
Chloe Victoria RobinsonCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0003-3776-9166
Teresita M PorterCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0002-0227-6874
Mehrdad HajibabaeiCentre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomonitoring is an essential tool for assessing ecological conditions and informing management strategies. The application of DNA metabarcoding and high throughput sequencing has improved data quantity and resolution for biomonitoring of taxa such as macroinvertebrates, yet, there remains the need to optimise these methods for other taxonomic groups. Diatoms have a longstanding history in freshwater biomonitoring as bioindicators of water quality status. However, multi-substrate periphyton collection, a common diatom sampling practice, is time-consuming and thus costly in terms of labour. This study examined whether the benthic kick-net technique used for macroinvertebrate biomonitoring could be applied to bulk-sample diatoms for metabarcoding. To test this approach, we collected samples using both conventional multi-substrate microhabitat periphyton collections and bulk-tissue kick-net methodologies in parallel from replicated sites with different habitat status (good/fair). We found there was no significant difference in community assemblages between conventional periphyton collection and kick-net methodologies or site status, but there was significant difference between diatom communities depending on site (P = 0.042). These results show the diatom taxonomic coverage achieved through DNA metabarcoding of kick-net is suitable for ecological biomonitoring applications. The shift to a more robust sampling approach and capturing diatoms as well as macroinvertebrates in a single sampling event has the potential to significantly improve efficiency of biomonitoring programmes that currently only use the kick-net technique to sample macroinvertebrates.

Indexed as

DNA Barcoding, TaxonomicAnimalsBiodiversityBiofilmsBiological MonitoringComputational BiologyDiatomsDNAEcosystemEnvironmental MonitoringFresh WaterHigh-Throughput Nucleotide SequencingInvertebratesPeriphytonRiversWater QualityDNA

Identifiers

PMID33206700
PMCPMC7673570

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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.