Evidence map›Paper›PMID 40170021›Full record

ArticleEnvironmental science & technology2025

Functional Enrichment and Sequence-Based Discovery Identify Promiscuous and Efficient Poly Lactic Acid Degrading Enzymes.

Gorjan Stojanovski, Maria Bawn, Amy Locks, Esther Ambrose-Dempster, John M Ward, Jack W E Jeffries, Helen C Hailes

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. 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
  2. Review
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  5. 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

7 authors.

Gorjan StojanovskiDepartment of Biochemical Engineering, University College London, Bernard Katz Building, London WC1E 6BT, U.K.
Maria BawnDepartment of Biochemical Engineering, University College London, Bernard Katz Building, London WC1E 6BT, U.K.
Amy LocksDepartment of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K.
Esther Ambrose-DempsterDepartment of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K.
John M WardDepartment of Biochemical Engineering, University College London, Bernard Katz Building, London WC1E 6BT, U.K.
Jack W E JeffriesDepartment of Biochemical Engineering, University College London, Bernard Katz Building, London WC1E 6BT, U.K.
Helen C HailesDepartment of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K.ORCID 0000-0001-5574-4742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recalcitrance of petroleum-based plastics to recycling has prompted the use of alternative compostable materials such as poly lactic acid (PLA) and polybutylene terephthalate coadipate (PBAT). However, current preferred end-of-life waste management solutions, such as aerobic composting and anaerobic digestion, are not optimal for bioplastics, due to their slow and variable degradation rates. Thus, the isolation of novel microbes and their plastic-degrading enzymes is necessary to improve existing bioplastic disposal and create more sustainable routes to valorize waste plastic. In this study, through functional enrichment cultures, we isolated 14 unique microbes capable of PLA and PBAT degradation and applied a computational discovery pipeline to identify plastic-degrading enzymes. Through this, a focused set of 97 enzymes was functionally characterized, finding three active PLA-degrading enzymes. The two most active enzymes, JW45_1534 and JW44_1708, displayed broad polyester degrading activity against PLA, PBAT, PBSA, PCL, and Impranil polyurethane. Uniquely, under optimized reaction conditions, JW44_1708 fully solubilized low-molecular-weight PLA powder (100-500 mM lactic acid equivalents) in 18 h at 30 °C, with 43-65% conversion to monomeric lactic acid. Overall, we demonstrate the effectiveness of functional enrichment with single-pass computational filtering and screening for finding highly active PLA-degrading enzymes with the potential to improve PLA end-of-life waste management solutions.

Indexed as

PolyestersBiodegradation, EnvironmentalPolyesterspoly(lactide)compostable plasticenzyme discoverygenome miningpeptides and proteinsplasticspolymer degradation

Identifiers

PMID40170021
PMCPMC12060274

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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.