Literature DB >> 29698778

A comparative analysis of single cell and droplet-based FACS for improving production phenotypes: Riboflavin overproduction in Yarrowia lipolytica.

James M Wagner1, Leqian Liu2, Shuo-Fu Yuan3, Maya V Venkataraman1, Adam R Abate4, Hal S Alper5.   

Abstract

Evolutionary approaches to strain engineering inherently require the identification of suitable selection techniques for the product and phenotype of interest. In this work, we undertake a comparative analysis of two related but functionally distinct methods of high-throughput screening: traditional single cell fluorescence activated cell sorting (single cell FACS) and microdroplet-enabled FACS (droplet FACS) using water/oil/water (w/o/w) emulsions. To do so, we first engineer and evolve the non-conventional yeast Yarrowia lipolytica for high extracellular production of riboflavin (vitamin B2), an innately fluorescent product. Following mutagenesis and adaptive evolution, a direct parity-matched comparison of these two selection strategies was conducted. Both single cell FACS and droplet FACS led to significant increases in total riboflavin titer (32 and 54 fold relative to the parental PO1f strain, respectively). However, single cell FACS favored intracellular riboflavin accumulation (with only 70% of total riboflavin secreted) compared with droplet FACS that favored extracellular product accumulation (with 90% of total riboflavin secreted). We find that for the test case of riboflavin, the extent of secretion and total production were highly correlated. The resulting differences in production modes and levels clearly demonstrate the significant impact that selection approaches can exert on final evolutionary outcomes in strain engineering. Moreover, we note that these results provide a cautionary tale when intracellular read-outs of product concentration (including signals from biosensors) are used as surrogates for total production of potentially secreted products. In this regard, these results demonstrate that extracellular production is best assayed through an encapsulation technique when performing high throughput screening.
Copyright © 2018 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29698778     DOI: 10.1016/j.ymben.2018.04.015

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  13 in total

1.  Tools and systems for evolutionary engineering of biomolecules and microorganisms.

Authors:  Sungho Jang; Minsun Kim; Jaeseong Hwang; Gyoo Yeol Jung
Journal:  J Ind Microbiol Biotechnol       Date:  2019-05-27       Impact factor: 3.346

2.  High throughput gene expression profiling of yeast colonies with microgel-culture Drop-seq.

Authors:  Leqian Liu; Chiraj K Dalal; Benjamin M Heineike; Adam R Abate
Journal:  Lab Chip       Date:  2019-05-14       Impact factor: 6.799

Review 3.  Synthetic biology, systems biology, and metabolic engineering of Yarrowia lipolytica toward a sustainable biorefinery platform.

Authors:  Jingbo Ma; Yang Gu; Monireh Marsafari; Peng Xu
Journal:  J Ind Microbiol Biotechnol       Date:  2020-07-04       Impact factor: 3.346

4.  Droplet Microfluidics for Microbial Biotechnology.

Authors:  Sundar Hengoju; Miguel Tovar; DeDe Kwun Wai Man; Stefanie Buchheim; Miriam A Rosenbaum
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

5.  Sorting for secreted molecule production using a biosensor-in-microdroplet approach.

Authors:  Emily K Bowman; James M Wagner; Shuo-Fu Yuan; Matthew Deaner; Claire M Palmer; Simon D'Oelsnitz; Lauren Cordova; Xin Li; Frank F Craig; Hal S Alper
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-07       Impact factor: 11.205

6.  Displaced by Deceivers: Prevention of Biosensor Cross-Talk Is Pivotal for Successful Biosensor-Based High-Throughput Screening Campaigns.

Authors:  Lion Konstantin Flachbart; Sascha Sokolowsky; Jan Marienhagen
Journal:  ACS Synth Biol       Date:  2019-07-23       Impact factor: 5.110

Review 7.  Microfluidics for Biotechnology: Bridging Gaps to Foster Microfluidic Applications.

Authors:  Vera Ortseifen; Martina Viefhues; Lutz Wobbe; Alexander Grünberger
Journal:  Front Bioeng Biotechnol       Date:  2020-11-13

Review 8.  Effective use of biosensors for high-throughput library screening for metabolite production.

Authors:  Jennifer A Kaczmarek; Kristala L J Prather
Journal:  J Ind Microbiol Biotechnol       Date:  2021-12-23       Impact factor: 4.258

9.  BIRD: identifying cell doublets via biallelic expression from single cells.

Authors:  Kerem Wainer-Katsir; Michal Linial
Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

Review 10.  Advances and opportunities in gene editing and gene regulation technology for Yarrowia lipolytica.

Authors:  Vijaydev Ganesan; Michael Spagnuolo; Ayushi Agrawal; Spencer Smith; Difeng Gao; Mark Blenner
Journal:  Microb Cell Fact       Date:  2019-11-29       Impact factor: 5.328

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