Landscape profiling of PET depolymerases using a natural sequence cluster framework

• 成果类型: Article
• 署名作者: Seo, Hogyun; Hong, Hwaseok; Park, Jiyoung; Lee, Seul Hoo; Ki, Dongwoo; Ryu, Aejin; Sagong, Hye-Young; Kim, Kyung-Jin
• 署名单位: Kyungpook National University (KNU); Kyungpook National University (KNU)
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-11779
• DOI: 10.1126/science.adp5637
• 发表日期: 2025-01-03
• 关键词: enzymatic surface hydrolysis; polyethylene terephthalate; sp-nov.; cutinase; poly(ethylene-terephthalate); hydrolase; degradation; solubility; diversity; database

摘要

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.