Evidence map›Paper›PMID 31275063›Full record

ArticleEcological indicators2019

High-throughput environmental DNA analysis informs a biological assessment of an urban stream.

Mark Bagley, Erik Pilgrim, Martin Knapp, Chris Yoder, Jorge Santo Domingo, Aabir Banerji

Abstract read
In one paragraph

Article in Ecological indicators, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

6 authors.

Mark BagleyUnited States Environmental Protection Agency, Office of Research and Development, 26 Martin Luther King Drive, Cincinnati, OH 45268, United States.
Erik PilgrimUnited States Environmental Protection Agency, Office of Research and Development, 26 Martin Luther King Drive, Cincinnati, OH 45268, United States.
Martin KnappMidwest Biodiversity Institute, 4673 Northwest Parkway, Hilliard, OH 43026, United States.
Chris YoderMidwest Biodiversity Institute, 4673 Northwest Parkway, Hilliard, OH 43026, United States.
Jorge Santo DomingoUnited States Environmental Protection Agency, Office of Research and Development, 26 Martin Luther King Drive, Cincinnati, OH 45268, United States.
Aabir BanerjiUnited States Environmental Protection Agency, Office of Research and Development, 26 Martin Luther King Drive, Cincinnati, OH 45268, United States.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

There is growing interest in the use of DNA barcoding and metabarcoding approaches to aid biological assessments and monitoring of waterbodies. While biodiversity measured by morphology and by DNA often has been found correlated, few studies have compared DNA data to established measures of impairment such as multimetric pollution tolerance indices used by many bioassessment programs. We incorporated environmental DNA (eDNA) metabarcoding of seston into a rigorous watershed-scale biological assessment of an urban stream to examine the extent to which eDNA richness and diversity patterns were correlated with multimetric indices and ecological impairment status designations. We also evaluated different filtering approaches and taxonomic classifications to identify best practices for environmental assessments. Seston eDNA revealed a wide diversity of eukaryotic taxa but was dominated by diatoms (36%). Differentiation among sites in alpha and beta diversity was greater when operational taxonomic units (OTUs) were classified taxonomically, but coarse resolution taxonomy (kingdom) was more informative than finer resolution taxonomy (family, genus). Correlations of DNA richness and diversity with multimetric indices for fish and macroinvertebrates were generally weak, possibly because Metazoa were not highly represented in our DNA dataset. Nonetheless, sites could be differentiated based on ecological impairment status, with more impaired sites having lower eDNA diversity as measured by the Shannon index, but higher taxonomic richness. Significant environmental drivers of community structure, as inferred from constrained ordination analyses, differed among kingdoms within the eDNA dataset, as well as from fish and macrobenthos, suggesting that eDNA provides novel environmental information. These results suggest that even a simple seston eDNA filtering protocol can provide biodiversity information of value to stream bioassessment programs. The approach bears further investigation as a potentially useful rapid assessment protocol to supplement more intensive field sampling efforts.

Indexed as

Aquatic life useBioassessmentBiological impairmenteDNATaxonomy

Identifiers

PMID31275063
PMCPMC6605098

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.