Advances in genome-scale metabolic models of industrially important fungi
Reviewartikel, 2023

Many fungal species have been used industrially for production of biofuels and bioproducts. Developing strains with better performance in biomanufacturing contexts requires a systematic understanding of cellular metabolism. Genome-scale metabolic models (GEMs) offer a comprehensive view of interconnected pathways and a mathematical framework for downstream analysis. Recently, GEMs have been developed or updated for several industrially important fungi. Some of them incorporate enzyme constraints, enabling improved predictions of cell states and proteome allocation. Here, we provide an overview of these newly developed GEMs and computational methods that facilitate construction of enzyme-constrained GEMs and utilize flux predictions from GEMs. Furthermore, we highlight the pivotal roles of these GEMs in iterative design–build–test–learn cycles, ultimately advancing the field of fungal biomanufacturing.

Genome-scale metabolic models

Författare

Yichao Han

Pacific Northwest National Laboratory

Albert Enrique Tafur Rangel

Chalmers, Life sciences, Systembiologi

Novo Nordisk Fonden

Kyle R. Pomraning

Pacific Northwest National Laboratory

Eduard Kerkhoven

Science for Life Laboratory (SciLifeLab)

Novo Nordisk Fonden

Chalmers, Life sciences, Systembiologi

Joonhoon Kim

Pacific Northwest National Laboratory

United States Department of Energy

Current Opinion in Biotechnology

0958-1669 (ISSN) 1879-0429 (eISSN)

Vol. 84 103005

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Programvaruteknik

Bioinformatik och systembiologi

DOI

10.1016/j.copbio.2023.103005

PubMed

37797483

Mer information

Senast uppdaterat

2023-10-16