Evidence map›Paper›PMID 35680904›Full record

ArticleScientific reports2022

Metagenomics to characterize sediment microbial biodiversity associated with fishing exposure within the Stellwagen Bank National Marine Sanctuary.

Spencer A Bruce, Semra A Aytur, Cheryl P Andam, John P Bucci

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

4 authors.

Spencer A BruceDepartment of Biological Sciences, University at Albany, State University of New York, Albany, NY, 12222, USA.
Semra A AyturDepartment of Health Management & Policy, University of New Hampshire, Durham, NH, 03824, USA.
Cheryl P AndamDepartment of Biological Sciences, University at Albany, State University of New York, Albany, NY, 12222, USA.
John P BucciSchool of Marine Science & Ocean Engineering, University of New Hampshire, Durham, NH, 03824, USA. john.bucci@unh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes in marine sediments constitute a large percentage of the global marine ecosystem and function to maintain a healthy food web. In continental shelf habitats such as the Gulf of Maine (GoM), relatively little is known of the microbial community abundance, biodiversity, and natural product potential. This report is the first to provide a time-series assessment (2017-2020) of the sediment microbial structure in areas open and closed to fishing within the Stellwagen Bank National Marine Sanctuary (SBNMS). A whole metagenome sequencing (WMS) approach was used to characterize the sediment microbial community. Taxonomic abundance was calculated across seven geographic sites with 14 individual sediment samples collected during the summer and fall seasons. Bioinformatics analyses identified more than 5900 different species across multiple years. Non-metric multidimensional scaling methods and generalized linear models demonstrated that species richness was inversely associated with fishing exposure levels and varied by year. Additionally, the discovery of 12 unique biosynthetic gene clusters (BGCs) collected across sites confirmed the potential for medically relevant natural product discovery in the SBNMS. This study provides a practical assessment of how fishing exposure and temporal trends may affect microbial community structure in a coastal marine sanctuary.

Indexed as

Biological ProductsMicrobiotaBiodiversityEcosystemGeologic SedimentsHuntingMetagenomicsBiological Products

Identifiers

PMID35680904
PMCPMC9184631

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Registered trials

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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.