Biological diversity of carbon assimilation among isolates of the yeast Dekkera bruxellensis from wine and fuel-ethanol industrial processes.

Crabtree effect anaerobic cultivation carbon assimilation disaccharides glucose catabolite repression selective adaptation

Journal

FEMS yeast research
ISSN: 1567-1364
Titre abrégé: FEMS Yeast Res
Pays: England
ID NLM: 101085384

Informations de publication

Date de publication:
01 05 2019
Historique:
received: 23 03 2018
accepted: 07 03 2019
pubmed: 9 3 2019
medline: 18 12 2019
entrez: 9 3 2019
Statut: ppublish

Résumé

Dekkera bruxellensis is considered a spoilage yeast in winemaking, brewing and fuel-ethanol production. However, there is growing evidence in the literature of its biotechnological potential. In this work, we surveyed 29 D. bruxellensis isolates from three countries and two different industrial origins (winemaking and fuel-ethanol production) for the metabolization of industrially relevant sugars. The isolates were characterized by the determination of their maximum specific growth rates, and by testing their ability to grow in the presence of 2-deoxy-d-glucose and antimycin A. Great diversity was observed among the isolates, with fuel-ethanol isolates showing overall higher specific growth rates than wine isolates. Preferences for galactose (three wine isolates) and for cellobiose or lactose (some fuel-ethanol isolates) were observed. Fuel-ethanol isolates were less sensitive than wine isolates to glucose catabolite repression (GCR) induction by 2-deoxy-d-glucose. In strictly anaerobic conditions, isolates selected for having high aerobic growth rates were able to ferment glucose, sucrose and cellobiose at fairly high rates without supplementation of casamino acids or yeast extract in the culture medium. The phenotypic diversity found among wine and fuel-ethanol isolates suggests adaptation to these environments. A possible application of some of the GCR-insensitive, fast-growing isolates in industrial processes requiring co-assimilation of different sugars is considered.

Identifiants

pubmed: 30848782
pii: 5372417
doi: 10.1093/femsyr/foz022
pii:
doi:

Substances chimiques

Biofuels 0
Ethanol 3K9958V90M
Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© FEMS 2019.

Auteurs

Jackeline Maria da Silva (JM)

Department of Genetics, Federal University of Pernambuco, Recife, Brazil.
Department of Biochemistry, Federal University of Pernambuco, Recife, Brazil.

Gilberto Henrique Teles Gomes da Silva (GHTG)

Department of Genetics, Federal University of Pernambuco, Recife, Brazil.

Denise Castro Parente (DC)

Department of Genetics, Federal University of Pernambuco, Recife, Brazil.
Department of Biochemistry, Federal University of Pernambuco, Recife, Brazil.

Fernanda Cristina Bezerra Leite (FCB)

Department of Biology, Federal Rural University of Pernambuco, Recife, Brazil.

Carolina Santos Silva (CS)

Department of Chemical Engineering, Federal University of Pernambuco, Recife, Brazil.

Patrícia Valente (P)

Department of Microbiology, Immunology and Parasitology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.

Angélica Maria Ganga (AM)

Department of Food Engineering, University of Santiago, Santiago, Chile.

Diogo Ardaillon Simões (DA)

Department of Biochemistry, Federal University of Pernambuco, Recife, Brazil.

Marcos Antonio de Morais (MA)

Department of Genetics, Federal University of Pernambuco, Recife, Brazil.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass
Lakes Salinity Archaea Bacteria Microbiota
Rivers Turkey Biodiversity Environmental Monitoring Animals

Insect diversity estimation in polarimetric lidar.

Dolores Bernenko, Meng Li, Hampus Månefjord et al.
1.00
Animals Biodiversity Insecta Algorithms Cluster Analysis

Classifications MeSH