Synthetic Biology in the Manufacturing of Chemicals and Fuels

Deadline for manuscript submissions: 30 October 2024.

Guest Editors (6)

George N.  Bennett
Prof. George N. Bennett 
Department of BioSciences, Rice University, Houston, 77005, TX, USA
Interests: Molecular Biology of Prokaryotes; Metabolic Engineering; Biosensors
Pablo  Carbonell
Prof. Pablo Carbonell 
Institute of Industrial Control Systems and Computing (AI2), Polytechnic University of Valencia, Valencia, Spain
Interests: Synthetic Biology; Systems Biology; Computational Biology; Control Engineering; Biological Engineering
Weiliang  Dong
Prof. Weiliang Dong 
State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211800, China
Interests: Microbial Strains and Enzymes; Combinin Gadaptive Evolution; High Throughput Screening; Synthetic Biotechnology; Protein Structure Design and Scale-up Process
Min  Jiang
Prof. Min Jiang 
State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, China
Interests: Synthetic Biology; Fermentation Engineering; Organic Wastes Bioconversion; Microbial Consortia
Yi  Wang
Prof. Yi Wang 
Department of Biosystems Engineering, Auburn University, Auburn, AL, USA; Center for Bioenergy and Bioproducts, Auburn University, Auburn, AL, USA
Interests: Metabolic Engineering; Synthetic Biology; Bioprocess Engineering; Biomanufacturing; Biofuels and Biochemicals; Applied Microbiology; Environmental Microbiology
Jufang  Wang
Prof. Jufang Wang 
School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China
Interests: Synthetic Biology; Fermentation Engineering; Biochemistry and Molecular Biology; Biosafety and Detection; Microbiology

Topic Collection Information

Topic Introduction

Synthetic biology, an interdisciplinary field that combines engineering, biology, and computational approaches, offers a powerful tool for the sustainable production of biochemicals and biofuels from renewable resources. By manipulating and engineering genetic circuits, synthetic biology enables the optimization of metabolic pathways in microorganisms or with cell free systems for the synthesis of desired chemical compounds. This has led to the creation of novel and valuable biochemicals, such as pharmaceuticals and flavors, as well as the development of cost-effective and environmentally friendly biofuels. This special topic collection will highlight the latest advancements in synthetic biology for biochemicals and biofuels production, covering a broad range of topics, including the development of non-conventional microbial chassis, the engineering of novel carbon metabolisms (C1 substrate, lignin, etc.), the design of innovative pathways, the development of high-value chemicals, the enhanced production of biofuels, and the integration or hybridization of synthetic biology with other emerging technologies and innovative processes. Additionally, this special issue welcomes reviews and perspectives on the challenges and opportunities for the future of this exciting research field. 

Keywords

  • Synthetic Biology
  • Genome Editing
  • CRISPR
  • Biofuels
  • Biochemicals
  • Non-conventional Microorganisms
  • Cell Free System
  • Carbon Metabolism
  • Metabolic Pathways
  • Carbon Sequestration
  • Environmental Sustainability

Published Papers (1 papers)

Review

28 August 2023

Dynamic Metabolic Control: From the Perspective of Regulation Logic

Establishing microbial cell factories has become a sustainable and increasingly promising approach for the synthesis of valuable chemicals. However, introducing heterologous pathways into these cell factories can disrupt the endogenous cellular metabolism, leading to suboptimal production performance. To address this challenge, dynamic pathway regulation has been developed and proven effective in improving microbial biosynthesis. In this review, we summarized typical dynamic regulation strategies based on their control logic. The applicable scenarios for each control logic were highlighted and perspectives for future research direction in this area were discussed.

Tian  Jiang
Chenyi  Li
Yuxi  Teng
Jianli  Zhang
Diana  Alexis Logan
Yajun Yan*
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