Advances in de novo strain design using integrated systems and synthetic biology tools. (October 2015)

• Record Type: Journal Article
• Authors: Ng, Chiam Yu; Khodayari, Ali; Chowdhury, Anupam; Maranas, Costas D
• Is Part Of: Current opinion in chemical biology. Volume 28(2015)
• Page Start: 105
• Page End: 114
• Publication Date: 2015-10
• Subjects: Bioorganic chemistry -- Periodicals; Biology -- Periodicals; Biochemistry -- Periodicals; Clinical biochemistry -- Periodicals; Biochemistry -- Periodicals; Chimie bio-organique -- Périodiques; Biologie -- Périodiques; 572.05
• DOI: 10.1016/j.cbpa.2015.06.026
• Languages: English
• ISSNs: 1367-5931

Abstract

Highlights: Current efforts in pathway mining algorithms are reviewed. Recent advances in genome-scale model based strain design algorithms are discussed. Computational models are essential for synthetic metabolic pathway design and engineering. Key developments in synthetic biology and genome engineering techniques are reviewed. Abstract : Recent efforts in expanding the range of biofuel and biorenewable molecules using microbial production hosts have focused on the introduction of non-native pathways in model organisms and the bio-prospecting of non-model organisms with desirable features. Current challenges lie in the assembly and coordinated expression of the (non-)native pathways and the elimination of competing pathways and undesirable regulation. Several systems and synthetic biology approaches providing contrasting top-down and bottom-up strategies, respectively, have been developed. In this review, we discuss recent advances in both in silico and experimental approaches for metabolic pathway design and engineering, with a critical assessment of their merits and remaining challenges.