Exploring biodegradation limits of n-alkanes as polyethylene models using multi-omics approaches

Polyethylene (PE) is widely regarded as non-biodegradable in natural environments, despite reports suggesting partial biotic degradation. Using multi-omics analysis, this study investigated the biodegradation mechanisms of n-alkanes-structural analogs of PE-to determine the threshold carbon number in PE that allows for environmental biodegradation. n-Alkanes with 6-40 carbons (C6-C40) were biodegraded in the soil, whereas C44 and PE were not. 16S rRNA gene amplicon sequence analysis identified distinct microbial communities associated with non-degradable compounds (PEs and C44) and biodegradable alkanes (C6-C40). Notably, the microbial community composition for C40 differed from those associated with biodegradable alkanes below C36. Multi-omics analysis identified the genera Aeromicrobium, Nocardia, Nocardioides, Rhodococcus, Acinetobacter, and Fontimonas as key degraders of n-alkanes at C36 and below, utilizing alkane hydroxylases such as alkane monooxygenase (AlkB), LC-alkane monooxygenase from Acinetobacter (AlmA), and cytochrome P450 (CYP153). Conversely, the biodegradation of C40 was facilitated by taxa, including the order Acidimicrobiales and the genera, Acidovorax, Sphingorhabdus, Prosthecobacter, and Roseimicrobium using AlmA and CYP153-type hydroxylases. This difference in key degraders and alkane hydroxylases may explain the reduced biodegradability of n-alkanes above C40, including PE.

Authors

Institutions

Publication Details

Journal
The Science of The Total Environment
Published
2025-04-14
DOI
https://doi.org/10.1016/j.scitotenv.2025.179365
Citations
7
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
3.53

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring biodegradation limits of n-alkanes as polyethylene models using multi-omics approaches

Miwa Suzuki, Kohei Takahashi, Kyoko Nozaki, Ken‐ichi Kasuya et al.
7 citations
The Science of The Total Environment
Microplastics and Plastic Pollution
3.53
article

Exploring biodegradation limits of n-alkanes as polyethylene models using multi-omics approaches

Miwa Suzuki, Kohei Takahashi, Kyoko Nozaki, Ken‐ichi Kasuya, Takuya Hayashi
article en
7 citations

Abstract

Polyethylene (PE) is widely regarded as non-biodegradable in natural environments, despite reports suggesting partial biotic degradation. Using multi-omics analysis, this study investigated the biodegradation mechanisms of n-alkanes-structural analogs of PE-to determine the threshold carbon number in PE that allows for environmental biodegradation. n-Alkanes with 6-40 carbons (C6-C40) were biodegraded in the soil, whereas C44 and PE were not. 16S rRNA gene amplicon sequence analysis identified distinct microbial communities associated with non-degradable compounds (PEs and C44) and biodegradable alkanes (C6-C40). Notably, the microbial community composition for C40 differed from those associated with biodegradable alkanes below C36. Multi-omics analysis identified the genera Aeromicrobium, Nocardia, Nocardioides, Rhodococcus, Acinetobacter, and Fontimonas as key degraders of n-alkanes at C36 and below, utilizing alkane hydroxylases such as alkane monooxygenase (AlkB), LC-alkane monooxygenase from Acinetobacter (AlmA), and cytochrome P450 (CYP153). Conversely, the biodegradation of C40 was facilitated by taxa, including the order Acidimicrobiales and the genera, Acidovorax, Sphingorhabdus, Prosthecobacter, and Roseimicrobium using AlmA and CYP153-type hydroxylases. This difference in key degraders and alkane hydroxylases may explain the reduced biodegradability of n-alkanes above C40, including PE.

The Science of The Total EnvironmentVol. 977
Gunma University (JP), The University of Tokyo (JP)
Japan Science and Technology Agency
Openalex Percentile: Top 7%
Microplastics and Plastic Pollution
3.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.