Special Issue "Advances in Yeast Biotechnology from Genomics to Industry"
A special issue of Fermentation (ISSN 2311-5637). This special issue belongs to the section "Microbial Metabolism, Physiology & Genetics".
Deadline for manuscript submissions: 31 January 2024 | Viewed by 813
Special Issue Editors
Interests: synthetic biology; microbial cell factory; industrial biotechnology; bioinformatics
Special Issue Information
Dear Colleagues,
Yeast, noted as the pioneering eukaryotic organism to undergo complete genome sequencing, holds the distinction of being the earliest microorganism employed in brewing, food, and various other industries. The utilization of yeast boasts several advantages, including a well-defined genetic background, robust genetic manipulability, and commendable fermentation capabilities. In recent times, the synergy of progressive technologies such as synthetic biology, bioinformatics, and machine learning has propelled the advancement and implementation of metabolic engineering and synthetic biology within this domain. Yeast cell factories have garnered extensive usage in the synthesis of numerous bulk chemicals and innovative, high-value bioactive compounds, thereby achieving noteworthy breakthroughs in domains spanning energy, medicine, and the environment.
The efficiency of yeast as a cell factory platform has significantly improved, finding extensive use in the large-scale production of diverse foods, chemicals, and drugs like ethanol, hemoglobin, terpenoids, and more. Yeast cell factories enable continuous and eco-friendly synthesis of industrial chemicals, offering an alternative to conventional methods. Enhancing yeast's metabolic pathways, key enzymes, strain resilience, and transport mechanisms can boost its performance. Additionally, manipulating yeast organelles and creating synthetic gene routes can enhance pathway enzymes and regulate metabolic flux dynamically. This enhances yeast's role as a versatile bioengineering tool.
The theme of this Special Issue is “Advances in Yeast Biotechnology from Genomics to Industry”. This Special Issue will cover topics related to yeast cell factories, yeast genomics, yeast synthetic biology, yeast metabolic engineering, and yeast cell metabolic models. These studies will help researchers continuously expand the application of synthetic biology, systems biology, and bioinformatics in future yeast cell industrial applications and other fields.
Dr. Chao Ye
Dr. Qiang Ding
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fermentation is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- yeast synthetic biology
- yeast metabolic engineering
- yeast genomics
- yeast cell factory
- yeast metabolic network model reconstruction
- genetic circuit
- dynamic regulation