Literature DB >> 27861733

Multiplex growth rate phenotyping of synthetic mutants in selection to engineer glucose and xylose co-utilization in Escherichia coli.

Joost Groot1, Sidney C Cepress-Mclean1, Adam Robbins-Pianka2, Rob Knight2, Ryan T Gill1.   

Abstract

Engineering the simultaneous consumption of glucose and xylose sugars is critical to enable the sustainable production of biofuels from lignocellulosic biomass. In most major industrial microorganisms glucose completely inhibits the uptake of xylose, limiting efficient sugar mixture conversion. In E. coli removal of the major glucose transporter PTS allows for glucose and xylose co-consumption but only after prolonged adaptation, which is an effective process but hard to control and prone to co-evolving undesired traits. Here we synthetically engineer mutants to target sugar co-consumption properties; we subject a PTS- mutant to a short adaptive step and subsequently either delete or overexpress key genes previously suggested to affect sugar consumption. Screening the co-consumption properties of these mutants individually is very laborious. We show we can evaluate sugar co-consumption properties in parallel by culturing the mutants in selection and applying a novel approach that computes mutant growth rates in selection using chromosomal barcode counts obtained from Next-Generation Sequencing. We validate this multiplex growth rate phenotyping approach with individual mutant pure cultures, identify new instances of mutants cross-feeding on metabolic byproducts, and, importantly, find that the rates of glucose and xylose co-consumption can be tuned by altering glucokinase expression in our PTS- background. Biotechnol. Bioeng. 2017;114: 885-893.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  Next-Generation Sequencing; directed evolution; lignocellulosic sugar utilization; metabolic engineering; selection dynamics; systems biology

Mesh:

Substances:

Year:  2016        PMID: 27861733     DOI: 10.1002/bit.26217

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  2 in total

1.  Insights into the roles of non-catalytic residues in the active site of a GH10 xylanase with activity on cellulose.

Authors:  Yindi Chu; Tao Tu; Leena Penttinen; Xianli Xue; Xiaoyu Wang; Zhuolin Yi; Li Gong; Juha Rouvinen; Huiying Luo; Nina Hakulinen; Bin Yao; Xiaoyun Su
Journal:  J Biol Chem       Date:  2017-10-03       Impact factor: 5.157

2.  Weakest-Link Dynamics Predict Apparent Antibiotic Interactions in a Model Cross-Feeding Community.

Authors:  Elizabeth M Adamowicz; William R Harcombe
Journal:  Antimicrob Agents Chemother       Date:  2020-10-20       Impact factor: 5.191

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.