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A marine bacterial strain with polyurethane-degrading activity, a potential for plastic waste control in the oceans

2025· article· en· W4413257276 on OpenAlexaff
Nallely Magaña-Montiel, Luis Felipe Muriel‐Millán, Jorge Rojas-Vargas, Karla Sofía Millán-López, Herminia Loza‐Tavera, Denhí Schnabel-Peraza, Carlos Felipe Peña-Malacara, Adolfo Gracía, Liliana Pardo-López

Bibliographic record

VenueMarine Pollution Bulletin · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsWestern University
FundersInstituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de MéxicoDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoConsejo Nacional de Ciencia y Tecnología
KeywordsPolyurethaneStrain (injury)Bacterial strainEnvironmental scienceBiodegradationWaste managementEnvironmental chemistryBacteriaChemistryBiologyEngineeringEcology

Abstract

fetched live from OpenAlex

Plastic pollution represents a significant global challenge, and diverse strategies, including microbial degradation, are needed to address it. This comprehensive study investigated the potential of the novel deep-sea bacterium Stutzerimonas frequens GOM2 to degrade polyurethane (PU), focusing on its ecological safety, including pathogenicity and survival in zebrafish embryo population controls, and the potential for plastic recycling. The marine isolate exhibited the capacity to grow and present clearance halos in functional screenings using two types of commercial water-based dispersions of polyester-PU (Impranil and Polycrylic). The biodegradation of the PU Impranil by the GOM2 strain was subsequently assessed in marine microcosms by monitoring bacterial growth and metabolic activity over time. Physicochemical analyses (including GPC, FTIR, and GC–MS) were used to monitor polymer breakdown by molecular weight loss, changes in functional groups, the disappearance of toxic PU precursors and the appearance of secondary metabolites. GC–MS analysis identified several metabolic intermediates, including plastic and bioplastic precursors, and compounds with potential pharmaceutical applications. Genomic analyses revealed genes encoding enzymes associated with plastic degradation, and the bacterium was found to be nonpathogenic. This strain successfully reversed the embryonic lethality of Impranil in zebrafish via biodegradation of PU, demonstrating the potential for this strain to reduce the toxicity of this plastic. Taken together, our results highlight the potential applicability of S. frequens GOM2 in future biotechnological applications that have significant implications for the blue economy. • Mining marine bacteria adapted to environments where hydrocarbons are ubiquitous enables a more effective search for plastic-degrading microorganisms. • Stutzerimonas frequens GOM2, a newly identified marine bacterium from the Gulf of Mexico, can degrade PU and reduce Impranil-related mortality in zebrafish embryos. • To address the plastic pollution problem from a blue economy perspective, plastic degradation research must adopt a broader approach, incorporating environmental safety assessments such as zebrafish survival assays as complementary tools, in addition to demonstrating polymer degradation and the production of economically valuable compounds. • Continued investigation of PU recycling via the isolation of microbial enzymes involved in robust mechanisms of degradation remains indispensable.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.191
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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