| Issue |
BIO Web Conf.
Volume 214, 2026
The 2025 International Conference on Biomedical, Bioinformatics and Statistics (ICBBS 2025)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 4 | |
| Section | Biomedical, Bioinformatics and Statistics | |
| DOI | https://doi.org/10.1051/bioconf/202621401025 | |
| Published online | 02 February 2026 | |
CRISPR-Cas Technology for Constructing Engineered Strains to Produce High Value-Added Industrial Products
School of Biological Science and Technology, University of Jinan, Shandong, 250000, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
With its ability to make precise, effective, and programmable genetic changes, the CRISPR-Cas system has become a revolutionary tool for microbial genome engineering. This article summarizes the use of CRISPR-Cas technology to create modified strains for the manufacturing of high value-added industrial products. First, the basic mechanisms of CRISPR-Cas systems are explained, including target recognition, Cas-mediated DNA cleavage, and repair pathways including HDR and NHEJ. This article then discusses representative applications in three key microbial hosts: Bacillus subtilis, Saccharomyces cerevisiae, and Escherichia coli. In B. subtilis, CRISPR-based systems enable multiplex and iterative editing for optimizing hyaluronic acid biosynthesis; in S. cerevisiae, they facilitate marker-free and multi-copy integration for high-value metabolite production; and in E. coli, they improve pathway balance and editing precision for fine chemical synthesis. Collectively, these advances illustrate how CRISPR-Cas technologies provide a versatile and universal platform for rational strain design. The integration of CRISPR-based editing with metabolic engineering continues to drive sustainable, efficient, and scalable biomanufacturing of high value-added products across diverse microbial systems.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

