Evidence map›Paper›PMID 38815829›Full record

ArticleThe Science of the total environment2024

Using DNA metabarcoding to characterize national scale diatom-environment relationships and to develop indicators in streams and rivers of the United States.

Nathan J Smucker, Erik M Pilgrim, Christopher T Nietch, Leslie Gains-Germain, Charlie Carpenter, John A Darling, Lester L Yuan, Richard M Mitchell, Amina I Pollard

Abstract read
In one paragraph

Article in The Science of the total environment, 2024. 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
–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

3 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

9 authors.

Nathan J SmuckerUnited States Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, USA. Electronic address: smucker.nathan@epa.gov.
Erik M PilgrimUnited States Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, USA.
Christopher T NietchUnited States Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, USA.
Leslie Gains-GermainNeptune and Company, Inc., Lakewood, CO 80215, USA.
Charlie CarpenterNeptune and Company, Inc., Lakewood, CO 80215, USA.
John A DarlingUnited States Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC 27703, USA.
Lester L YuanUnited States Environmental Protection Agency, Office of Water, Washington, D.C. 20004, USA.
Richard M MitchellUnited States Environmental Protection Agency, Office of Wetlands, Oceans, and Watersheds, Washington, D.C. 20004, USA.
Amina I PollardUnited States Environmental Protection Agency, Office of Water, Washington, D.C. 20004, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Recent advancements in DNA techniques, metabarcoding, and bioinformatics could help expand the use of benthic diatoms in monitoring and assessment programs by providing relatively quick and increasingly cost-effective ways to quantify diatom diversity in environmental samples. However, such applications of DNA-based approaches are relatively new, and in the United States, unknowns regarding their applications at large scales exist because only a few small-scale studies have been done. Here, we present results from the first nationwide survey to use DNA metabarcoding (rbcL) of benthic diatoms, which were collected from 1788 streams and rivers across nine ecoregions spanning the conterminous USA. At the national scale, we found that diatom assemblage structure (1) was strongly associated with total phosphorus and total nitrogen concentrations, conductivity, and pH and (2) had clear patterns that corresponded with differences in these variables among the nine ecoregions. These four variables were strong predictors of diatom assemblage structure in ecoregion-specific analyses, but our results also showed that diatom-environment relationships, the importance of environmental variables, and the ranges of these variables within which assemblage changes occurred differed among ecoregions. To further examine how assemblage data could be used for biomonitoring purposes, we used indicator species analysis to identify ecoregion-specific taxa that decreased or increased along each environmental gradient, and we used their relative abundances of gene reads in samples as metrics. These metrics were strongly correlated with their corresponding variable of interest (e.g., low phosphorus diatoms with total phosphorus concentrations), and generalized additive models showed how their relationships compared among ecoregions. These large-scale national patterns and nine sets of ecoregional results demonstrated that diatom DNA metabarcoding is a robust approach that could be useful to monitoring and assessment programs spanning the variety of conditions that exist throughout the conterminous United States.

Indexed as

DiatomsDNA Barcoding, TaxonomicEnvironmental MonitoringRiversBiodiversityUnited StatesBioassessmentBiomonitoringConductivityNitrogenpHPhosphorus

Identifiers

PMID38815829
PMCPMC11247516

What OpenQuestion holds

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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.