Mining Thermophile Genomes for New PETases with Exceptional Thermostabilities Using Sequence Similarity Networks

Enzymatic hydrolysis of polyethylene terephthalate (PET) is a promising technology for advancing a circular PET economy. Several PET-degrading α/β hydrolases have been identified, but the full potential of this enzyme family to catalyze PET hydrolysis remains largely unexplored. To address this, sequence similarity networks are employed to investigate the α/β hydrolase fold-5 subfamily (IPR029059) for new PETases. Priority is given to sequences from thermophiles, as thermostable enzymes are likely more suitable for industrial applications. Ten enzymes with ≈20% sequence identity to the well-known LCC-PETase are identified, and seven are successfully overexpressed and purified for in vitro characterization. Each enzyme catalyzes the hydrolysis of p-nitrophenyl butyrate, a mimic of trimeric PET, and emulsified PET nanoparticles. Notably, three enzymes are also capable of hydrolyzing PET films. Novel PETases exhibit melting temperatures (T<sub>m</sub>) exceeding 55 °C and only modest losses of activity after incubation at 70 °C for 24 h. The crystal structure of AroC (T<sub>m</sub> = 85 °C) is resolved to 2.2 Å, revealing several salt bridges that likely confer thermostability, and a unique loop that is conserved among the PETases described here. These novel enzymes will enable engineering campaigns to generate thermostable and catalytically efficient PETases for use as industrial biocatalysts.

Authors

Institutions

Publication Details

Journal
ChemBioChem
Published
2025-03-12
DOI
https://doi.org/10.1002/cbic.202500065
Citations
6
Primary Topic
Enzyme Production and Characterization
Type
article
Field-Weighted Citation Impact
7.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mining Thermophile Genomes for New PETases with Exceptional Thermostabilities Using Sequence Similarity Networks

David L. Zechel, Zongchao Jia, Graeme W. Howe, Kody Klupt et al.
6 citations
ChemBioChem
Enzyme Production and Characterization
7.40
article

Mining Thermophile Genomes for New PETases with Exceptional Thermostabilities Using Sequence Similarity Networks

David L. Zechel, Zongchao Jia, Graeme W. Howe, Kody Klupt, Zhenyu Hu
article en
6 citations

Abstract

Enzymatic hydrolysis of polyethylene terephthalate (PET) is a promising technology for advancing a circular PET economy. Several PET-degrading α/β hydrolases have been identified, but the full potential of this enzyme family to catalyze PET hydrolysis remains largely unexplored. To address this, sequence similarity networks are employed to investigate the α/β hydrolase fold-5 subfamily (IPR029059) for new PETases. Priority is given to sequences from thermophiles, as thermostable enzymes are likely more suitable for industrial applications. Ten enzymes with ≈20% sequence identity to the well-known LCC-PETase are identified, and seven are successfully overexpressed and purified for in vitro characterization. Each enzyme catalyzes the hydrolysis of p-nitrophenyl butyrate, a mimic of trimeric PET, and emulsified PET nanoparticles. Notably, three enzymes are also capable of hydrolyzing PET films. Novel PETases exhibit melting temperatures (T<sub>m</sub>) exceeding 55 °C and only modest losses of activity after incubation at 70 °C for 24 h. The crystal structure of AroC (T<sub>m</sub> = 85 °C) is resolved to 2.2 Å, revealing several salt bridges that likely confer thermostability, and a unique loop that is conserved among the PETases described here. These novel enzymes will enable engineering campaigns to generate thermostable and catalytically efficient PETases for use as industrial biocatalysts.

ChemBioChemVol. 26(12)
Queen's University (CA), Queens University (BD)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Enzyme Production and Characterization
7.40
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.

Mining Thermophile Genomes for New PETases with Exceptional Thermostabilities Using Sequence Similarity Networks — David L. Zechel, Zongchao Jia, et al. · ChemBioChem (2025) | TGRS Research Map | TGRS