Industrial manufacturing has been an essential and historical human activity to yield products for use or for sale, playing a vast role in our economy and everyday life. However, the manufacturing process requires consumption of various raw materials (especially petroleum derivatives), generates harmful waste in various forms, causing pollution, and is energetically inefficient. Biological manufacturing from sustainable, affordable, and scalable feedstocks could enable the displacement of the entire portfolio of currently available products produced by industrial processes, enabling the manufacturing of renewable and eco-friendly products. Thus, successful development of a robust biomanufacturing strategy and technology platform, based on the latest advances in synthetic biology and chemical catalysis, would decrease both the cost and production time compared with previous manufacturing processes.
Development of biomanufacturing processes using a synthetic biology platform requires the multidisciplinary efforts of science and engineering fields including molecular biology, microbiology, genetic engineering, informatics, metabolic modeling and chemical or process engineering. More specifically, it is important to understand how the biomanufacturing process is being monitored and improved by several analytical approaches, so-called multi-omics technologies, which include genomics, transcriptomics, proteomics, metabolomics and lipidomics. The multi-omics data acquired from the biomanufacturing process will not only provide possible solutions to low production efficiency by identifying underlying metabolic bottlenecks or pathway sinks, but will also guide the understanding of how these modified biological systems function. Furthermore, such multi-omics technologies are currently being improved to expand molecular detection coverage, obtain data with increased accuracy by using new analytical instruments, achieve better computational algorithms, and create wider and deeper databases to support various biological host systems.
This Research Topic aims to show how the current multi-omics technologies can be applied to various biomanufacturing processes, and the editors encourage contributors to submit their application results as a form of original research article, review article, letter, mini-review, or opinion from various production systems that employ multi-omics technologies. This collection will be showcasing snapshots of multi-omics technologies that can be applied to optimise biomanufacturing processes through synthetic biology and will guide the readers to understand the current situation we face, and where we can move forward.
Industrial manufacturing has been an essential and historical human activity to yield products for use or for sale, playing a vast role in our economy and everyday life. However, the manufacturing process requires consumption of various raw materials (especially petroleum derivatives), generates harmful waste in various forms, causing pollution, and is energetically inefficient. Biological manufacturing from sustainable, affordable, and scalable feedstocks could enable the displacement of the entire portfolio of currently available products produced by industrial processes, enabling the manufacturing of renewable and eco-friendly products. Thus, successful development of a robust biomanufacturing strategy and technology platform, based on the latest advances in synthetic biology and chemical catalysis, would decrease both the cost and production time compared with previous manufacturing processes.
Development of biomanufacturing processes using a synthetic biology platform requires the multidisciplinary efforts of science and engineering fields including molecular biology, microbiology, genetic engineering, informatics, metabolic modeling and chemical or process engineering. More specifically, it is important to understand how the biomanufacturing process is being monitored and improved by several analytical approaches, so-called multi-omics technologies, which include genomics, transcriptomics, proteomics, metabolomics and lipidomics. The multi-omics data acquired from the biomanufacturing process will not only provide possible solutions to low production efficiency by identifying underlying metabolic bottlenecks or pathway sinks, but will also guide the understanding of how these modified biological systems function. Furthermore, such multi-omics technologies are currently being improved to expand molecular detection coverage, obtain data with increased accuracy by using new analytical instruments, achieve better computational algorithms, and create wider and deeper databases to support various biological host systems.
This Research Topic aims to show how the current multi-omics technologies can be applied to various biomanufacturing processes, and the editors encourage contributors to submit their application results as a form of original research article, review article, letter, mini-review, or opinion from various production systems that employ multi-omics technologies. This collection will be showcasing snapshots of multi-omics technologies that can be applied to optimise biomanufacturing processes through synthetic biology and will guide the readers to understand the current situation we face, and where we can move forward.
