Correct Gene Models and Experimental CAZyme Data Will Facilitate Improved Biomass Valorization
The rapidly increasing number of sequenced fungal genomes provides a wealth of candidate enzymes for biomass valorization, but predicting their function remains challenging due to an insufficient number of biochemically characterized reference enzymes. In addition, incorrect gene models and over-reliance on amino acid sequence similarity further impact correct functional assignment and enzyme production.
Authors
- Mao Peng (ORCID: https://orcid.org/0000-0003-1676-0242)
- Scott Baker (ORCID: https://orcid.org/0000-0001-5085-3106)
- Miia Mäkelä (ORCID: https://orcid.org/0000-0003-0771-2329)
- Ronald P. de Vries (ORCID: https://orcid.org/0000-0002-4363-1123)
Institutions
- Pacific Northwest National Laboratory (US)
- Environmental Molecular Sciences Laboratory (US)
- Westerdijk Fungal Biodiversity Institute (NL)
- National Bioproducts Institute (South Africa) (ZA)
- Joint BioEnergy Institute (US)
- Aalto University (FI)
Publication Details
- Journal
- ACS Sustainable Resource Management
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1021/acssusresmgt.5c00134
- Citations
- 1
- Primary Topic
- Biofuel production and bioconversion
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- Environmental Molecular Sciences Laboratory
- Basic Energy Sciences