Development of a β-Arbutin Hyperproducer in Escherichia coli by Rational Modular and Transcription Factor Engineering DOI

Shuran Jiang,

Xuewei Pan, Xinyu Zhang

et al.

ACS Sustainable Chemistry & Engineering, Journal Year: 2024, Volume and Issue: 12(52), P. 18588 - 18599

Published: Dec. 18, 2024

β-Arbutin is a valuable aromatic compound with multiple biological activities. The exploitation of efficient engineering microbial platforms for β-arbutin production has been an appealing research avenue in recent years due to l-tyrosine auxotrophy and the limited distribution metabolic flux. Herein, inducer-free nonauxotrophic cell factory successfully constructed Escherichia coli toward high-titer by combining strategies. First, de novo synthesis pathway was constructed, expression level heterologous enzyme optimized promoter engineering. Next, biosynthetic modified rational modular strategies further enhance production. Subsequently, transcription factor TorI identified negatively regulate biosynthesis based on transcriptomic data. Finally, dynamic toggle switch controlling tyrA gene designed reconstruct Without additional supplements l-tyrosine, final strain AT25 generated highest ever reported among inducer-free, strains, producing 30.52 g/L productivity 0.51 g/L/h. systematic demonstrated this study can provide reference establishing factories together other compounds.

Language: Английский

AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors DOI Creative Commons

Nana Ding,

Zenan Yuan,

Zheng Ma

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(15), P. 3512 - 3512

Published: July 26, 2024

The rational design, activity prediction, and adaptive application of biological elements (bio-elements) are crucial research fields in synthetic biology. Currently, a major challenge the field is efficiently designing desired bio-elements accurately predicting their using vast datasets. advancement artificial intelligence (AI) technology has enabled machine learning deep algorithms to excel uncovering patterns bio-element data performance. This review explores AI design bio-elements, regulation transcription-factor-based biosensor response performance AI-designed elements. We discuss advantages, adaptability, challenges addressed by various applications, highlighting powerful potential analyzing data. Furthermore, we propose innovative solutions faced suggest future directions. By consolidating current demonstrating practical applications biology, this provides valuable insights for advancing both academic biotechnology.

Language: Английский

Citations

4

Recent advances in the biosynthesis of cytochalasans: a review DOI
Zhengshan Luo,

Xupeng Guo,

Yilin Chen

et al.

Systems Microbiology and Biomanufacturing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Language: Английский

Citations

0

Exonuclease III-assisted CRISPR/Cas12a electrochemical biosensor for detection of transcription factor binding catalytic hairpin assembly signal amplification technology DOI

Jingfen Lu,

Siyuan Chen,

Feifei Lu

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113528 - 113528

Published: April 1, 2025

Language: Английский

Citations

0

Transcriptional regulator-based biosensors for biomanufacturing in Corynebacterium glutamicum DOI
Jie Liu, Weiguo Zhang,

Zhi-Ming Rao

et al.

Microbiological Research, Journal Year: 2025, Volume and Issue: unknown, P. 128169 - 128169

Published: April 1, 2025

Language: Английский

Citations

0

Innovations, Challenges and Future Directions of T7RNA Polymerase in Microbial Cell Factories DOI Creative Commons
Sefli Sri Wahyu Effendi, I‐Son Ng

ACS Synthetic Biology, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

The study of "resource allocator" bacteriophage T7 RNA polymerase (T7RNAP) has garnered significant interest, particularly for optimizing transcriptional systems in microbial cell factories (MCFs). Most previous reviews have primarily focused on T7RNAP by dissecting specific aspects its molecular structure and functional dynamics; this critical review seeks to broaden the scope. We emphasize a comprehensive guide utilizing versatile variants, covering both fundamental principles fine-tuned circuit designs synthetic biology applications. Recent advancements engineered with enhanced specificity controllability are also highlighted. Furthermore, we discuss host compatibility considerations implementing sustainable bioproduction. Finally, key challenges regulatory complexities emerging opportunities next-generation technology discussed, reinforcing future directions improving MCF performance.

Language: Английский

Citations

0

Extending dynamic and operational range of the biosensor responding to L-carnitine by directed evolution DOI Creative Commons
Tingting Li,

Huina Dong,

Jinlong Li

et al.

Synthetic and Systems Biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Engineered transcription factor-binding diversed functional nucleic acid-based synthetic biosensor DOI

Yanger Liu,

Ziying Zhou,

Yifan Wu

et al.

Biotechnology Advances, Journal Year: 2024, Volume and Issue: unknown, P. 108463 - 108463

Published: Oct. 1, 2024

Language: Английский

Citations

1

Insights into the regulatory mechanisms and application prospects of the transcription factor Cra DOI
Ying Huang, Kai‐Zhi Jia, Wei Zhao

et al.

Applied and Environmental Microbiology, Journal Year: 2024, Volume and Issue: 90(11)

Published: Nov. 4, 2024

ABSTRACT Cra (catabolite repressor/activator) is a global transcription factor (TF) that plays pleiotropic role in controlling the of several genes involved carbon utilization and energy metabolism. Multiple studies have investigated regulatory mechanism its rational use for metabolic regulation, but due to complexity there remain challenges efficient Cra. Here, structure, action, function nitrogen flow are reviewed. In addition, this paper highlights application engineering, including promotion metabolite biosynthesis, regulation stress tolerance virulence, Cra-based biosensor, coupling with other factors. Finally, prospects Cra-related strategies discussed. This review provides guidance design construction systems.

Language: Английский

Citations

1

Comprehensive Understanding of Laboratory Evolution for Food Enzymes: From Design to Screening Innovations DOI
Junhao Wu,

Zhaojun Wang,

Maomao Zeng

et al.

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(45), P. 24928 - 24943

Published: Nov. 4, 2024

In the field of food processing, enzymes play a pivotal role in improving product quality and flavor, extending shelf life. However, exposure traditional to high temperatures during processing often leads decrease activity or even inactivation, limiting effectiveness their application under high-temperature conditions. Therefore, modification thermostability adapt extreme conditions through protein engineering has become key way improve efficiency economic benefits industrial production. Directed evolution semirational design strategies laboratory have proven be broadly applicable frameworks for biochemical researchers field, including those who are beginners. this review, we systematically summarize high-throughput screening strategies, introduce some intuitive computer simulation software enzyme enzymes. The these techniques provides comprehensive guide optimization addition, latest hot topics genetically engineered discussed.

Language: Английский

Citations

1

Schlafen5, regulated by the AP-1 family transcription factor c-Fos, affects diabetic wound healing through modulating PI3K/Akt/NRF2 axis DOI
Yunpeng Fan, Junsheng Lou,

Zhuo-Qun Wei

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 283, P. 137805 - 137805

Published: Nov. 18, 2024

Language: Английский

Citations

1