Literature DB >> 20552354

Co-fermentation of cellobiose and xylose using beta-glucosidase displaying diploid industrial yeast strain OC-2.

Satoshi Saitoh1, Tomohisa Hasunuma, Tsutomu Tanaka, Akihiko Kondo.   

Abstract

The co-utilization of sugars, particularly xylose and glucose, during industrial fermentation is essential for economically feasible processes with high ethanol productivity. However, the major problem encountered during xylose/glucose co-fermentation is the lower consumption rate of xylose compared with that of glucose fermentation. Here, we therefore attempted to construct high xylose assimilation yeast by using industrial yeast strain with high beta-glucosidase activity on the cell surface. We first constructed the triple auxotrophic industrial strain OC2-HUT and introduced four copies of the cell-surface-displaying beta-glucosidase (BGL) gene and two copies of a xylose-assimilating gene into its genome to generate strain OC2-ABGL4Xyl2. It was confirmed that the introduction of multiple copies of the BGL gene increased the cell-surface BGL activity, which was also correlated to the observed increase in xylose-assimilating ability. The strain OC2-ABGL4Xyl2 was able to consume xylose during cellobiose/xylose co-fermentation (0.38 g/h/g-DW) more rapidly than during glucose/xylose co-fermentation (0.18 g/h/g-DW). After 48 h, 5.77% of the xylose was consumed despite the co-fermentation conditions, and the observed ethanol yield was 0.39 g-ethanol/g-total sugar. Our results demonstrate that a BGL-displaying and xylose-assimilating industrial yeast strain is capable of efficient xylose consumption during the co-fermentation with cellobiose. Due to its high performance for fermentation of mixtures of cellobiose and xylose, OC2-ABGL4Xyl2 does not require the addition of beta-glucosidase and is therefore a promising yeast strain for cost-effective ethanol production from lignocellulosic biomass.

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Year:  2010        PMID: 20552354     DOI: 10.1007/s00253-010-2714-0

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  7 in total

1.  Cofermentation of glucose, xylose, and cellobiose by the beetle-associated yeast Spathaspora passalidarum.

Authors:  Tanya M Long; Yi-Kai Su; Jennifer Headman; Alan Higbee; Laura B Willis; Thomas W Jeffries
Journal:  Appl Environ Microbiol       Date:  2012-05-25       Impact factor: 4.792

2.  Single amino acid substitutions in HXT2.4 from Scheffersomyces stipitis lead to improved cellobiose fermentation by engineered Saccharomyces cerevisiae.

Authors:  Suk-Jin Ha; Heejin Kim; Yuping Lin; Myoung-Uoon Jang; Jonathan M Galazka; Tae-Jip Kim; Jamie H D Cate; Yong-Su Jin
Journal:  Appl Environ Microbiol       Date:  2012-12-21       Impact factor: 4.792

3.  Engineering Saccharomyces pastorianus for the co-utilisation of xylose and cellulose from biomass.

Authors:  William Kricka; Tharappel C James; James Fitzpatrick; Ursula Bond
Journal:  Microb Cell Fact       Date:  2015-04-28       Impact factor: 5.328

4.  Directed evolution of a cellobiose utilization pathway in Saccharomyces cerevisiae by simultaneously engineering multiple proteins.

Authors:  Dawn T Eriksen; Pei Chiun Helen Hsieh; Patrick Lynn; Huimin Zhao
Journal:  Microb Cell Fact       Date:  2013-06-26       Impact factor: 5.328

Review 5.  Enhancing the Co-utilization of Biomass-Derived Mixed Sugars by Yeasts.

Authors:  Meirong Gao; Deon Ploessl; Zengyi Shao
Journal:  Front Microbiol       Date:  2019-01-22       Impact factor: 5.640

6.  Engineered Saccharomyces cerevisiae for lignocellulosic valorization: a review and perspectives on bioethanol production.

Authors:  Joana T Cunha; Pedro O Soares; Sara L Baptista; Carlos E Costa; Lucília Domingues
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

7.  Metabolic Engineering of Fusarium oxysporum to Improve Its Ethanol-Producing Capability.

Authors:  George E Anasontzis; Elisavet Kourtoglou; Silas G Villas-Boâs; Dimitris G Hatzinikolaou; Paul Christakopoulos
Journal:  Front Microbiol       Date:  2016-05-04       Impact factor: 5.640

  7 in total

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