Evidence map›Paper›PMID 33902744›Full record

ArticleEnvironmental microbiome2021

Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery.

Emma Timmins-Schiffman, Samuel J White, Rhonda Elliott Thompson, Brent Vadopalas, Benoit Eudeline, Brook L Nunn, Steven B Roberts

Abstract read
In one paragraph

Article in Environmental microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Polyester Microfibers Exposure ModulatesInternational journal of molecular sciences · 2024
    Article
  4. Article
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.

Emma Timmins-SchiffmanDepartment of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA.ORCID http://orcid.org/0000-0002-2478-6541
Samuel J WhiteSchool of Aquatic and Fishery Sciences, University of Washington, 1122 Boat St., Seattle, WA, 98195, USA.
Rhonda Elliott ThompsonTaylor Shellfish Hatchery, 701 Broadspit Rd., Quilcene, WA, 98376, USA.
Brent VadopalasWashington Sea Grant, University of Washington, 3716 Brooklyn Ave NE, Seattle, WA, 98105, USA.
Benoit EudelineTaylor Shellfish Hatchery, 701 Broadspit Rd., Quilcene, WA, 98376, USA.
Brook L NunnDepartment of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA.
Steven B RobertsSchool of Aquatic and Fishery Sciences, University of Washington, 1122 Boat St., Seattle, WA, 98195, USA. Sr320@uw.edu.

Funding

MOLECULAR BASIS OF DARIERS DISEASER01AR041700 · NIAMS · UNIVERSITY OF ROCHESTER · PI EPSTEIN, ERVIN H · 1992 to 1998
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Directorate for Biological Sciences OCE 1633939Washington Sea Grant, University of Washington NA140AR4170078
6 · The paper itself

Abstract

backgroundMicrobial communities are ubiquitous throughout ecosystems and are commensal with hosts across taxonomic boundaries. Environmental and species-specific microbiomes are instrumental in maintaining ecosystem and host health, respectively. The introduction of pathogenic microbes that shift microbiome community structure can lead to illness and death. Understanding the dynamics of microbiomes across a diversity of environments and hosts will help us to better understand which taxa forecast survival and which forecast mortality events.

resultsWe characterized the bacterial community microbiome in the water of a commercial shellfish hatchery in Washington state, USA, where the hatchery has been plagued by recurring and unexplained larval mortality events. By applying the complementary methods of metagenomics and metaproteomics we were able to more fully characterize the bacterial taxa in the hatchery at high (pH 8.2) and low (pH 7.1) pH that were metabolically active versus present but not contributing metabolically. There were shifts in the taxonomy and functional profile of the microbiome between pH and over time. Based on detected metagenomic reads and metaproteomic peptide spectral matches, some taxa were more metabolically active than expected based on presence alone (Deltaproteobacteria, Alphaproteobacteria) and some were less metabolically active than expected (e.g., Betaproteobacteria, Cytophagia). There was little correlation between potential and realized metabolic function based on Gene Ontology analysis of detected genes and peptides.

conclusionThe complementary methods of metagenomics and metaproteomics contribute to a more full characterization of bacterial taxa that are potentially active versus truly metabolically active and thus impact water quality and inter-trophic relationships.

Indexed as

GeoduckLarvaeMetagenomicsMetaproteomicsMicrobiomeShellfish

Identifiers

PMID33902744
PMCPMC8066469

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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.