Evidence map›Paper›PMID 39075734›Full record

ArticleEnvironmental microbiology reports2024

Changes in microbial community structure of bio-fouled polyolefins over a year-long seawater incubation in Hawai'i.

Elizabeth Connors, Laurent Lebreton, Jeff S Bowman, Sarah-Jeanne Royer

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Elizabeth ConnorsScripps Institution of Oceanography, La Jolla, California, USA.ORCID 0000-0002-4992-4218
Laurent LebretonCenter for Marine Debris Research, Hawaii Pacific University, Waimānalo, Hawaii, USA.
Jeff S BowmanScripps Institution of Oceanography, La Jolla, California, USA.
Sarah-Jeanne RoyerCenter for Marine Debris Research, Hawaii Pacific University, Waimānalo, Hawaii, USA.ORCID 0000-0003-1070-8611

Funding

The Ocean Cleanup
6 · The paper itself

Abstract

Plastic waste, especially positively buoyant polymers known as polyolefins, are a major component of floating debris in the marine environment. While plastic colonisation by marine microbes is well documented from environmental samples, the succession of marine microbial community structure over longer time scales (> > 1 month) and across different types and shapes of plastic debris is less certain. We analysed 16S rRNA and 18S rRNA amplicon gene sequences from biofilms on polyolefin debris floating in a flow-through seawater tank in Hawai'i to assess differences in microbial succession across the plastic types of polypropylene (PP) and both high-density polyethylene (HDPE) and low-density polyethylene (LDPE) made of different plastic shapes (rod, film and cube) under the same environmental conditions for 1 year. Regardless of type or shape, all plastic debris were dominated by the eukaryotic diatom Nitzschia, and only plastic type was significantly important for bacterial community structure over time (p = 0.005). PE plastics had higher differential abundance when compared to PP for 20 bacterial and eight eukaryotic taxa, including the known plastic degrading bacterial taxon Hyphomonas (p = 0.01). Results from our study provide empirical evidence that plastic type may be more important for bacterial than eukaryotic microbial community succession on polyolefin pollution under similar conditions.

Indexed as

BacteriaRNA, Ribosomal, 16SSeawaterBiofilmsBiofoulingDiatomsHawaiiMicrobiotaPhylogenyPolyenesPolyethyleneRNA, Ribosomal, 18SPL 732PolyenesPolyethyleneRNA, Ribosomal, 16SRNA, Ribosomal, 18S

Identifiers

PMID39075734
PMCPMC11286543

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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.