Secretion of collagenases by Saccharomyces cerevisiae for collagen degradation.

Collagen degradation Heterologous expression Recombinant collagenases Saccharomyces cerevisiae Synergistic effect

Journal

Biotechnology for biofuels and bioproducts
ISSN: 2731-3654
Titre abrégé: Biotechnol Biofuels Bioprod
Pays: England
ID NLM: 9918300888906676

Informations de publication

Date de publication:
28 Aug 2022
Historique:
received: 22 05 2022
accepted: 13 08 2022
entrez: 28 8 2022
pubmed: 29 8 2022
medline: 29 8 2022
Statut: epublish

Résumé

The production and processing of animal-based products generates many collagen-rich by-products, which have received attention both for exploitation to increase their added value and to reduce their negative environmental impact. The collagen-rich by-products can be hydrolyzed by collagenases for further utilization. Therefore, collagenases are of benefit for efficient collagen materials processing. An alternative and safe way to produce secreted collagenases is needed. Two collagenases from Hathewaya histolytica, ColG and ColH, were successfully secreted by the yeast Saccharomyces cerevisiae. Compared with the native signal peptide of collagenase, the α-factor leader is more efficient in guiding collagenase secretion. Collagenase secretion was significantly increased in YPD medium by supplementing with calcium and zinc ions. Recombinant collagenase titers reached 68 U/mL and 55 U/mL for ColG and ColH, respectively. Collagenase expression imposed metabolic perturbations on yeast cells; substrate consumption, metabolites production and intracellular cofactor levels changed in engineered strains. Both recombinant collagenases from yeast could hydrolyze soluble and insoluble collagen materials. Recombinant ColG and ColH showed a synergistic effect on efficient collagen digestion. Sufficient calcium and zinc ions are essential for active collagenase production by yeast. Collagenase secretion was increased by optimization of expression cassettes. Collagenase expression imposed metabolic burden and cofactor perturbations on yeast cells, which could be improved through metabolic engineering. Our work provides a useful way to produce collagenases for collagen resource utilization.

Sections du résumé

BACKGROUND BACKGROUND
The production and processing of animal-based products generates many collagen-rich by-products, which have received attention both for exploitation to increase their added value and to reduce their negative environmental impact. The collagen-rich by-products can be hydrolyzed by collagenases for further utilization. Therefore, collagenases are of benefit for efficient collagen materials processing. An alternative and safe way to produce secreted collagenases is needed.
RESULTS RESULTS
Two collagenases from Hathewaya histolytica, ColG and ColH, were successfully secreted by the yeast Saccharomyces cerevisiae. Compared with the native signal peptide of collagenase, the α-factor leader is more efficient in guiding collagenase secretion. Collagenase secretion was significantly increased in YPD medium by supplementing with calcium and zinc ions. Recombinant collagenase titers reached 68 U/mL and 55 U/mL for ColG and ColH, respectively. Collagenase expression imposed metabolic perturbations on yeast cells; substrate consumption, metabolites production and intracellular cofactor levels changed in engineered strains. Both recombinant collagenases from yeast could hydrolyze soluble and insoluble collagen materials. Recombinant ColG and ColH showed a synergistic effect on efficient collagen digestion.
CONCLUSIONS CONCLUSIONS
Sufficient calcium and zinc ions are essential for active collagenase production by yeast. Collagenase secretion was increased by optimization of expression cassettes. Collagenase expression imposed metabolic burden and cofactor perturbations on yeast cells, which could be improved through metabolic engineering. Our work provides a useful way to produce collagenases for collagen resource utilization.

Identifiants

pubmed: 36031598
doi: 10.1186/s13068-022-02186-y
pii: 10.1186/s13068-022-02186-y
pmc: PMC9420286
doi:

Types de publication

Journal Article

Langues

eng

Pagination

89

Subventions

Organisme : Key Research and Development Program of Guangdong Province, China
ID : 2020B020226009
Organisme : Key Research and Development Program of Guangdong Province, China
ID : 2020B020226009
Organisme : National Natural Science Foundation of China
ID : 31901013
Organisme : Science and Technology Program of Guangzhou, China
ID : 202002030337

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2022. The Author(s).

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Auteurs

Han Xiao (H)

School of Food Science and Engineering, South China University of Technology, Guangzhou, 510641, China.
Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou, 510650, China.

Xiufang Liu (X)

School of Food Science and Engineering, South China University of Technology, Guangzhou, 510641, China.
Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou, 510650, China.

Yunzi Feng (Y)

School of Food Science and Engineering, South China University of Technology, Guangzhou, 510641, China.
Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou, 510650, China.

Lin Zheng (L)

School of Food Science and Engineering, South China University of Technology, Guangzhou, 510641, China.
Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou, 510650, China.

Mouming Zhao (M)

School of Food Science and Engineering, South China University of Technology, Guangzhou, 510641, China.
Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou, 510650, China.

Mingtao Huang (M)

School of Food Science and Engineering, South China University of Technology, Guangzhou, 510641, China. huangmt@scut.edu.cn.
Guangdong Food Green Processing and Nutrition Regulation Technologies Research Center, Guangzhou, 510650, China. huangmt@scut.edu.cn.

Classifications MeSH