Genome-Scale Metabolic Model of Caldicellulosiruptor bescii Reveals Optimal Metabolic Engineering Strategies for Bio-based Chemical Production-Reference-Cited by-同舟云学术

Genome-Scale Metabolic Model of Caldicellulosiruptor bescii Reveals Optimal Metabolic Engineering Strategies for Bio-based Chemical Production

Published:2021-06-29 Issue:3 Volume:6 Page:
ISSN:2379-5077
Container-title:mSystems
language:en
Short-container-title:mSystems

Author:

Zhang Ke¹,Zhao Weishu¹,Rodionov Dmitry A.²³,Rubinstein Gabriel M.⁴,Nguyen Diep N.⁴,Tanwee Tania N. N.⁴,Crosby James⁵,Bing Ryan G.⁵,Kelly Robert M.⁵,Adams Michael W. W.⁴^ORCID,Zhang Ying¹^ORCID

Affiliation:

1. Department of Cell and Molecular Biology, College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, USA

2. Sanford-Burnham-Prebys Medical Discovery Institute, La Jolla, California, USA

3. A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia

4. Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA

5. Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA

Abstract

The extremely thermophilic cellulolytic bacterium, Caldicellulosiruptor bescii , degrades plant biomass at high temperatures without any pretreatments and can serve as a strategic platform for industrial applications. The metabolic engineering of C. bescii , however, faces potential bottlenecks in bio-based chemical productions.

Funder

U.S. Department of Energy

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Link

https://journals.asm.org/doi/pdf/10.1128/mSystems.01351-20

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