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Science, 2025 Jan 3;387(6729):eadp5637 | https://doi.org/10.1126/science.adp5637
Landscape profiling of PET depolymerases using a natural sequence cluster framework
Hogyun Seo 1 2 †, Hwaseok Hong 3 †, Jiyoung Park 4 †, Seul Hoo Lee 1, Dongwoo Ki 4, Aejin Ryu 3, Hye-Young Sagong 3, Kyung-Jin Kim 1 2 4 *
1KNU Institute for Microorganisms, Kyungpook National University, Daegu, Republic of Korea.
2Zyen Co., Daegu, Republic of Korea.
3Institute of Biotechnology, CJ CheilJedang Co., Suwon-si, Republic of Korea.
4School of Life Sciences and Biotechnology, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, Republic of Korea.
2Zyen Co., Daegu, Republic of Korea.
3Institute of Biotechnology, CJ CheilJedang Co., Suwon-si, Republic of Korea.
4School of Life Sciences and Biotechnology, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, Republic of Korea.
†These authors contributed equally
*Corresponding author: correspondence to Kyung-Jin Kim
*Corresponding author: correspondence to Kyung-Jin Kim
Abstract
Enzymes capable of breaking down polymers have been identified from natural sources and developed for industrial use in plastic recycling. However, there are many potential starting points for enzyme optimization that remain unexplored. We generated a landscape of 170 lineages of 1894 polyethylene terephthalate depolymerase (PETase) candidates and performed profiling using sampling approaches with features associated with PET-degrading capabilities. We identified three promising yet unexplored PETase lineages and two potent PETases, Mipa-P and Kubu-P. An engineered variant of Kubu-P outperformed benchmarks in terms of PET depolymerization in harsh environments, such as those with high substrate load and ethylene glycol as the solvent.
논문정보
- Research article
- 2025년 01월 (BRIC 등록일 2025-01-07)
- 국내 연구진
- 생명과학 > 생명과학 기타
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