Evidence map›Paper›PMID 37492948›Full record

ArticleJournal of fish biology2023

Expanding non-invasive approaches for fish-health monitoring: A survey of the epidermal mucous metabolomes of phylogenetically diverse freshwater fish species.

Drew R Ekman, Marina G Evich, Jonathan D Mosley, Jon A Doering, Kellie A Fay, Gerald T Ankley, Timothy W Collette

Open access · greenAbstract read
In one paragraph

Article in Journal of fish biology, 2023. 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
0.8field-weighted citation impact, top 27% 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, 5 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

7 authors at 2 institutions in 1 country.

Drew R EkmanU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-1649-379X
Marina G EvichU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-2386-0682
Jonathan D MosleyU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-9300-6924
Jon A DoeringLouisiana State University, Department of Environmental Sciences, Baton Rouge, Louisiana, USA.ORCID https://orcid.org/0000-0001-6866-6456
Kellie A FayU.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention, Washington, DC, USA.ORCID https://orcid.org/0000-0003-1132-4484
Gerald T AnkleyU.S. Environmental Protection Agency, Center for Computational Toxicology and Exposure, Duluth, Minnesota, USA.ORCID https://orcid.org/0000-0002-9937-615X
Timothy W ColletteU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia, USA.ORCID https://orcid.org/0000-0003-1946-0878
Environmental Protection Agency · USLouisiana State University · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

There is a pressing need for more-holistic approaches to fisheries assessments along with growing demand to reduce the health impacts of sample collections. Metabolomic tools enable the use of sample matrices that can be collected with minimal impact on the organism (e.g., blood, urine, and mucus) and provide high-throughput, untargeted biochemical information without the requirement of a sequenced genome. These qualities make metabolomics ideal for monitoring a wide range of fish species, particularly those under protected status. In the current study, we surveyed the relative abundances of 120 endogenous metabolites in epidermal mucus across eight freshwater fish species belonging to seven phylogenetic orders. Principal component analysis was used to provide an overview of the data set, revealing strong interspecies relationships in the epidermal mucous metabolome. Normalized relative abundances of individual endogenous metabolites were then used to identify commonalities across multiple species, as well as those metabolites that showed notable species specificity. For example, taurine was measured in high relative abundance in the epidermal mucus of common carp (Cyprinus carpio), northern pike (Esox lucius), golden shiner (Notemigonus crysoleucas), rainbow trout (Oncorhynchus mykiss), and rainbow smelt (Osmerus mordax), whereas γ-amino butyric acid (GABA) exhibited a uniquely high relative abundance in flathead catfish (Pylodictis olivaris). Finally, hierarchical cluster analysis was used to evaluate species relatedness as characterized by both the epidermal mucous metabolome (phenotype) and genetic phylogeny (genotype). This comparison revealed species for which relatedness in the epidermal mucous metabolome composition closely aligns with phylogenetic relatedness (e.g., N. crysoleucas and C. carpio), as well as species for which these two measures are not well aligned (e.g., P. olivaris and Polyodon spathula). These, and other findings reported here, highlight novel areas for future research with fish, including development of epidermal mucous-based markers for non-invasive health monitoring, sex determination, and hypoxia tolerance.

Indexed as

CarpsCyprinidaeIctaluridaeOncorhynchus mykissOsmeriformesAnimalsEsocidaeFresh WaterMetabolomeMucusPhylogenycross-speciesepidermal mucusmetabolomicsmonitoringnon-invasive

Identifiers

PMID37492948
PMCPMC10735230
OpenAlexW4385264797

What OpenQuestion holds

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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.