Evidence map›Paper›PMID 37061583›Full record

ArticleThe ISME journal2023

Biogeographic patterns of biosynthetic potential and specialized metabolites in marine sediments.

Alexander B Chase, Alexander Bogdanov, Alyssa M Demko, Paul R Jensen

Abstract read
In one paragraph

Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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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.

Alexander B ChaseDepartment of Earth Sciences, Southern Methodist University, Dallas, TX, USA. abchase@smu.edu.ORCID 0000-0003-1984-6279
Alexander BogdanovCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California at San Diego, La Jolla, CA, USA.
Alyssa M DemkoCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0002-6690-8172
Paul R JensenCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0003-2349-1888

Funding

Natural Product Genome MiningR01GM085770 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JENSEN, PAUL R, MOORE, BRADLEY S · 2009 to 2024
$5.8M
Acquisition of Covaris E220 and Sciclone G3 systems for high throughput sequencinS10OD010786 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COMAI, LUCA · 2012 to 2012
$311k
NIGMS NIH HHS R01 GM085770NIH HHS S10 OD010786
6 · The paper itself

Abstract

While the field of microbial biogeography has largely focused on the contributions of abiotic factors to community patterns, the potential influence of biotic interactions in structuring microbial communities, such as those mediated by the production of specialized metabolites, remains largely unknown. Here, we examined the relationship between microbial community structure and specialized metabolism at local spatial scales in marine sediment samples collected from the Long-Term Ecological Research (LTER) site in Moorea, French Polynesia. By employing a multi-omic approach to characterize the taxonomic, functional, and specialized metabolite composition within sediment communities, we find that biogeographic patterns were driven by local scale processes (e.g., biotic interactions) and largely independent of dispersal limitation. Specifically, we observed high variation in biosynthetic potential (based on Bray-Curtis dissimilarity) between samples, even within 1 m

Indexed as

Geologic SedimentsMicrobiotaMetabolome

Identifiers

PMID37061583
PMCPMC10284892

What OpenQuestion holds

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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.