Evidence map›Paper›PMID 35266524›Full record

ArticleDatabase : the journal of biological databases and curation2022

PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation.

Victor Gambarini, Olga Pantos, Joanne M Kingsbury, Louise Weaver, Kim M Handley, Gavin Lear

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
–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

95 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Biodegradation of components from an oxidized polyethylene by aApplied and environmental microbiology · 2026
    Article
  8. Potential plastic biodegradation in lakes worldwide.Innovation (Cambridge (Mass.)) · 2026
    Article
  9. Article
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  15. Article
  16. Paired genomic and proteomic analysis ofMicrobiology spectrum · 2026
    Article
  17. Genome data mining of a novelData in brief · 2026
    Article
  18. Article
  19. Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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

6 authors.

Victor GambariniSchool of Biological Sciences, University of Auckland, 3a Symonds Street, Auckland 1010, New Zealand.ORCID 0000-0002-5639-6820
Olga PantosThe Institute of Environmental Science and Research, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand.
Joanne M KingsburyThe Institute of Environmental Science and Research, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand.
Louise WeaverThe Institute of Environmental Science and Research, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand.
Kim M HandleySchool of Biological Sciences, University of Auckland, 3a Symonds Street, Auckland 1010, New Zealand.
Gavin LearSchool of Biological Sciences, University of Auckland, 3a Symonds Street, Auckland 1010, New Zealand.ORCID 0000-0001-5083-4773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a database of microorganisms and proteins reported to biodegrade plastics. Associated metadata, such as the techniques utilized to assess biodegradation, the environmental source of microbial isolate and presumed thermophilic traits are also reported. Proteins in the database are categorized according to the plastic type they are reported to degrade. Each protein structure has been predicted in silico and can be visualized or downloaded for further investigation. In addition to standard database functionalities, such as searching, filtering and retrieving database records, we implemented several analytical tools that accept inputs, including gene, genome, metagenome, transcriptomes, metatranscriptomes and taxa table data. Users can now analyze their datasets for the presence of putative plastic-degrading species and potential plastic-degrading proteins and pathways from those species. Database URL:http://plasticdb.org.

Indexed as

MetagenomePlasticsBiodegradation, EnvironmentalDatabases, FactualPlastics

Identifiers

PMID35266524
PMCPMC9216477

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.