Combinatorial optimization of the hybrid cellulase complex structure designed from modular libraries.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
28 Sep 2024
Historique:
received: 08 11 2023
accepted: 18 09 2024
medline: 29 9 2024
pubmed: 29 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Cellulase selectively recognizes cellulose surfaces and cleaves their β-1,4-glycosidic bonds. Combining hydrolysis using cellulase and fermentation can produce alternative fuels and chemical products. However, anaerobic bacteria produce only low levels of highly active cellulase complexes so-called cellulosomes. Therefore, we designed hybrid cellulase complexes from 49 biotinylated catalytic domain (CD) and 30 biotinylated cellulose-binding domain (CBD) libraries on streptavidin-conjugated nanoparticles to enhance cellulose hydrolysis by mimicking the cellulosome structure. The hybrid cellulase complex, incorporating both native CD and CBD, significantly improved reducing sugar production from cellulose compared to free native modular enzymes. The optimal CBD for each hybrid cellulase complex differed from that of the native enzyme. The most effective hybrid cellulase complex was observed with the combination of CD

Identifiants

pubmed: 39342015
doi: 10.1038/s41598-024-73541-2
pii: 10.1038/s41598-024-73541-2
doi:

Substances chimiques

Cellulase EC 3.2.1.4
Cellulose 9004-34-6
Bacterial Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

22429

Subventions

Organisme : MEXT | Japan Society for the Promotion of Science (JSPS)
ID : 22K18911
Organisme : MEXT | Japan Society for the Promotion of Science (JSPS)
ID : 16H04570
Organisme : MEXT | Japan Science and Technology Agency (JST)
ID : Advanced Low Carbon Technology Research and Development Program Grant

Informations de copyright

© 2024. The Author(s).

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Auteurs

Hikaru Nakazawa (H)

Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-1, Aramaki, Aoba-Ku, Sendai, 980-8579, Japan. hikaru@tohoku.ac.jp.

Izumi Okada (I)

Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-1, Aramaki, Aoba-Ku, Sendai, 980-8579, Japan.

Tomoyuki Ito (T)

Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-1, Aramaki, Aoba-Ku, Sendai, 980-8579, Japan.

Yuri Ishigaki (Y)

Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-1, Aramaki, Aoba-Ku, Sendai, 980-8579, Japan.

Izumi Kumagai (I)

Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-1, Aramaki, Aoba-Ku, Sendai, 980-8579, Japan.

Mitsuo Umetsu (M)

Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-1, Aramaki, Aoba-Ku, Sendai, 980-8579, Japan. mitsuo@tohoku.ac.jp.
Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan. mitsuo@tohoku.ac.jp.

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