Evidence map›Paper›PMID 40320445›Full record

ArticleScientific reports2025

Isolation of marine bacteria with potential for polyhydroxyalkanoate degradation and optimization for enzyme production.

Antika Boondaeng, Chanaporn Trakunjae, Pilanee Vaithanomsat, Nanthavut Niyomvong

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
  2. Complete genome sequence ofMicrobiology resource announcements · 2026
    Article
  3. Review
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.

Antika BoondaengKasetsart Agricultural and Agro-Industrial Product Improvement Institute, Kasetsart University, Bangkok, 10900, Thailand.
Chanaporn TrakunjaeKasetsart Agricultural and Agro-Industrial Product Improvement Institute, Kasetsart University, Bangkok, 10900, Thailand.
Pilanee VaithanomsatKasetsart Agricultural and Agro-Industrial Product Improvement Institute, Kasetsart University, Bangkok, 10900, Thailand.
Nanthavut NiyomvongDepartment of Biology and Biotechnology, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Nakhon Sawan, 60000, Thailand. nanthavut.ni@nsru.ac.th.

Funding

Kasetsart University Research and Development, Institute, Thailand (Grant number: Kurdi (FF(KU)41.67).
6 · The paper itself

Abstract

Plastic materials are widely used because of their strength, light weight, durability, and environmental resistance. However, their decomposition rates are significantly slower than their typical lifespans. The rapid and continuous increase in plastic consumption has caused severe environmental impacts due to the accumulation of plastic waste. We identified potential polyhydroxyalkanoate (PHA)-degrading bacteria from marine environments capable of producing extracellular PHA depolymerases crucial for biodegrading PHAs. Marine debris was collected to screen poly [(R)-3-hydroxybutyric acid] (P(3HB))-degrading bacteria. Six isolates showed the ability to produce clear zones surrounding their colonies by degrading the bioplastic P(3HB). The isolate SS1-2, exhibiting the greatest degradation index of 1.44, was chosen for optimization through the statistical technique. The results indicated that NH

Indexed as

Aquatic OrganismsBacteriaCarboxylic Ester HydrolasesPolyhydroxyalkanoatesSeawaterBiodegradation, EnvironmentalPhylogenyRNA, Ribosomal, 16SCarboxylic Ester HydrolasesPolyhydroxyalkanoatesRNA, Ribosomal, 16SBioplasticDepolymeraseExtracellular enzymeSurface response methodology

Identifiers

PMID40320445
PMCPMC12050325

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.