Evidence map›Paper›PMID 32345738›Full record

ArticlemSystems2020

Time Series Resolution of the Fish Necrobiome Reveals a Decomposer Succession Involving Toxigenic Bacterial Pathogens.

Briallen Lobb, Rhiannon Hodgson, Michael D J Lynch, Michael J Mansfield, Jiujun Cheng, Trevor C Charles, Josh D Neufeld, Paul M Craig, Andrew C Doxey

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 25 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

9 authors at 1 institution in 1 country.

Briallen LobbDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.
Rhiannon HodgsonDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.
Michael D J LynchDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0002-9332-747X
Michael J MansfieldDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.
Jiujun ChengDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.
Trevor C CharlesDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0002-0344-5932
Josh D NeufeldDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0002-8722-8571
Paul M CraigDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada paul.craig@uwaterloo.ca acdoxey@uwaterloo.ca.
Andrew C DoxeyDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada paul.craig@uwaterloo.ca acdoxey@uwaterloo.ca.ORCID https://orcid.org/0000-0003-2015-099X
University of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite progress understanding microbial communities involved in terrestrial vertebrate decomposition, little is known about the microbial decomposition of aquatic vertebrates from a functional and environmental context. Here, we analyzed temporal changes in the "necrobiome" of rainbow darters, which are common North American fish that are sensitive indicators of water quality. By combining 16S rRNA gene and shotgun metagenomic sequence data from four time points, we studied the progression of decomposers from both taxonomic and functional perspectives. The 16S rRNA gene profiles revealed strong community succession, with early decomposition stages associated with

Indexed as

aerolysinAeromonascommunity profilingdecompositionfishmetagenomicsmicrobiomenecrobiomerainbow darterthanatomicrobiometoxinswastewater

Identifiers

PMID32345738
PMCPMC7190384
OpenAlexW3018112349

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.