alexa A Reference Model System of Industrial Yeast Saccharomyces cerevisiae is needed for Development of the Next-Generation Biocatalyst toward Advanced Biofuels Production
ISSN: 1948-5948
Journal of Microbial & Biochemical Technology
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

A Reference Model System of Industrial Yeast Saccharomyces cerevisiae is needed for Development of the Next-Generation Biocatalyst toward Advanced Biofuels Production

Z Lewis Liu1* and Xu Wang2

1Bioenergy Research Unit, National Center for Agricultural Utilization Research, USDA-ARS, Peoria, USA

2Department of Applied Microbiology, Sichuan Agricultural University, Wenjiang, Sichuan 611130, China

*Corresponding Author:
Z Lewis Liu
Bioenergy Research Unit
National Center for Agricultural Utilization Research
USDA-ARS, Peoria, IL 61604 USA
Tel: +1 309 681 6294
E-mail: [email protected]

Received Date: October 27, 2015; Accepted Date: November 03, 2015; Published Date: November 10, 2015

Citation: Lewis Liu Z, Wang X (2015) A Reference Model System of Industrial Yeast Saccharomyces cerevisiae is needed for Development of the Next-Generation Biocatalyst toward Advanced Biofuels Production. J Microb Biochem Technol 7:e125. doi:10.4172/1948-5948.1000e125

Copyright: © 2015 Lewis Liu Z, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Microbial & Biochemical Technology


Diploid industrial yeast Saccharomyces cerevisiae has demonstrated distinct characteristics that different from haploid laboratory model strains. However, as a workhorse for a broad range of fermentation-based industrial applications, it was poorly characterized at the genome level. Observations on the haploid model strain performance, particularly as a host strain for new strain development, are often inconsistent with the response of the diploid industrial yeast strains. An industrial yeast model system is urgently needed for efficient development of the nextgeneration biocatalysts toward a sustainable production of advanced biofuels and chemicals.


Industrial yeast; Lignocellulose conversion; Nextgeneration biocatalyst; Saccharomyces cerevisiae


Industrial yeast Saccharomyces cerevisiae, commonly diploid, is a workhorse for fermentation-based industrial applications but poorly characterized at the genome level. On the other hand, haploid S. cerevisiae strain S288C is a well-known model strain widely used worldwide for life science research communities [1]. The simpler structure and well-characterized model strains are easy to use and serve as a valuable resource and reference system for human, animal, and many other life forms including microbes. For example, model strain S288C is commonly used for investigation in industrial applications, including lignocellulosic biomass conversions to chemicals and fuels. However, when it is used as a host strain for improved biocatalyst development in advanced biofuels production, the performance of the laboratory model strain derivatives is often inconsistent with that observed from strains derived from diploid host industrial yeast.

Recent studies found some significant differences in the genetic background between the haploid model strain and diploid industrial yeast strains. Genome expression of model strain S288C commonly displayed a transient response to environmental stimuli, including varied chemical challenges [2,3]. Diploid industrial yeast strains NRRL Y-12632 and Y-50049 of S. cerevisiae typically showed more persistent genome expression response to challenges of major toxic chemical compounds, such as varied furan aldehydes liberated from lignocellulosic biomass pretreatment [4-6]. Another critical issue for advanced biofuels production involves in utilization of biomass sugars embedded in cellulosic materials. Traditional yeast is unable to utilize pentose sugars (C-5) such as xylose. A significant international effort has been taken to enable its C-5 sugar utilization capability through genetic engineering. When using the haploid model strain of S. cerevisiae as a host, such genetic engineering transformed strains with heterologous xylose transporters showed no significant improvement with a poor growth and limited xylose uptake and utilization [7,8]. In contrast, using similar xylose transporter genes applying on tolerant NRRL Y-50049 as a host, a significant expression of xylose uptake and utilization was obtained from the newly derived genotypes that distinct from those observed from the haploid strains [9-12]. Mechanisms behind these observations are currently unknown. On a different aspect, the laboratory strain S288C was also found to have a slower rate of genome evolution than naturally collected yeast strains [13].

In general, diploid yeast is more robust than the haploid yeast strains. A recent genomic study suggested the industrial yeast may have more tolerant signaling pathways than the model strain [14]. Reprogrammed glycolysis and pentose phosphate pathways including cofactor regeneration balance of a tolerant strain NRRL Y-50049 in response to toxic chemical challenges has been revealed [5,12]. A new class of aldehyde reduction gene family was defined from a diploid type yeast strain NRRL Y-12632 [5,15-17]. At least 44 pathways were reported to be affected significantly by the chemical challenges [18]. Key regulatory elements and tolerant signaling pathways were identified for the industrial yeast that may not necessarily be observed in the laboratory model strains [6,14]. Development of the next-generation biocatalyst is a continued challenging effort toward a sustainable bio-based economy. Since most lab strains responded differently from the industrial yeast, over-use and over-emphasis on strain performance observed from lab strains and their derivatives can be misleading and hinder the efforts of efficient new strain development. The current haploid laboratory model strains are not suitable as a host strain in biocatalyst development for lignocellulosic biomass conversion. A well-rounded model system for the industrial yeast is urgently needed for the community to successfully address challenges involved in production of fuels and chemicals from lignocellulose materials.

Numerous industrial yeast strains have been sequenced in varied depth at the genome level including both haploid and diploid strains [14,19]. With recent advances on investment of diploid yeast strains, NRRL Y-12632 and Y-50049 can be potential candidate model/reference for new strain development for industrial applications. High quality resequencing of the targeted genomes and updated annotations are needed for these strains. To this end, a collaborative teamwork incorporating with systems biology is necessary to establish a comprehensive database aiming the next-generation biocatalyst development for biofuels and chemical production using lignocellulosic materials.


Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Recommended Conferences

Article Usage

  • Total views: 8061
  • [From(publication date):
    December-2015 - Mar 24, 2018]
  • Breakdown by view type
  • HTML page views : 7976
  • PDF downloads : 85

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals


[email protected]m

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version