Design and Characterization of Biosensors for the Screening of Modular Assembled Naringenin Biosynthetic Library in Saccharomyces cerevisiae

• DOI: 10.1021/acssynbio.9b00212
• Publication Date: 2019-08-21T19:57:06Z
• Authors: Rufeng Wang; Brady F. Cress; Zheng Yang; John C. Hordines; Shujuan Zhao; Gyoo Yeol Jung; Zhengtao Wang; Mattheos A. G. Ko...
• Keywords: 0301 basic medicine; 0303 health sciences; Herbaspirillum; Transcription, Genetic; naringenin; Biosensing Techniques; Saccharomyces cerevisiae; biosensor; Luminescent Proteins; 03 medical and health sciences; Bacterial Proteins; Metabolic Engineering; flavonoids; modular assembly; Flavanones; Chromatography, High Pressure Liquid; Plasmids; Transcription Factors; Red Fluorescent Protein

A common challenge in the assembly and optimization of plant natural product biosynthetic pathways in recombinant hosts is the identification of gene orthologues that will result in best production titers. Here, we describe the modular assembly of a naringenin biosynthetic pathway in Saccharomyces cerevisiae that was facilitated by optimized naringenin-inducible prokaryotic transcription activators used as biosensors. The biosensors were designed and developed in S. cerevisiae by a multiparametric engineering strategy, which further was applied for the in vivo, high-throughput screening of the established yeast library. The workflow for assembling naringenin biosynthetic pathways involved Golden gate-directed combinatorial assembly of genes and promoters, resulting in a strain library ideally covering 972 combinations in S. cerevisiae. For improving the performance of our screening biosensor, a series of fundamental components was optimized, affecting the efficiency of the biosensor such as nuclear localization signal (NLS), the detector module and the effector module. One biosensor (pTDH3_NLS_FdeR-N_tPGK1-pGPM1-fdeO_mcherry_tTDH1-MV2) showed better performance, defined as better dynamic range and sensitivity than others established in this study as well as other previously reported naringenin biosensors. Using this biosensor, we were able to identify a recombinant S. cerevisiae strain as the most efficient candidate for the production of naringenin from the established naringenin biosynthetic library. This approach can be exploited for the optimization of other metabolites derived from the flavonoid biosynthetic pathways and more importantly employed in the characterization of putative flavonoid biosynthetic genes.