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Title: Comprehensive sequence-flux mapping of a levoglucosan utilization pathway in E. coli

Journal Article · · ACS Synthetic Biology
 [1];  [2];  [2];  [1]
  1. Michigan State Univ., East Lansing, MI (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Synthetic metabolic pathways often suffer from low specific productivity, and new methods that quickly assess pathway functionality for many thousands of variants are urgently needed. Here we present an approach that enables the rapid and parallel determination of sequence effects on flux for complete gene-encoding sequences. We show that this method can be used to determine the effects of over 8000 single point mutants of a pyrolysis oil catabolic pathway implanted in Escherichia coli. Experimental sequence-function data sets predicted whether fitness-enhancing mutations to the enzyme levoglucosan kinase resulted from enhanced catalytic efficiency or enzyme stability. A structure of one design incorporating 38 mutations elucidated the structural basis of high fitness mutations. One design incorporating 15 beneficial mutations supported a 15-fold improvement in growth rate and greater than 24-fold improvement in enzyme activity relative to the starting pathway. Lastly, this technique can be extended to improve a wide variety of designed pathways.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1258435
Report Number(s):
LA-UR-15-27108
Journal Information:
ACS Synthetic Biology, Vol. 4, Issue 11; ISSN 2161-5063
Publisher:
American Chemical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 40 works
Citation information provided by
Web of Science

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Cited By (13)

Plasmid-based one-pot saturation mutagenesis journal October 2016
High-throughput evaluation of synthetic metabolic pathways journal March 2016
Impact of In Vivo Protein Folding Probability on Local Fitness Landscapes journal August 2019
Recent insights into the genotype–phenotype relationship from massively parallel genetic assays journal July 2019
Deep generative models of genetic variation capture the effects of mutations journal September 2018
Genetically Engineered Proteins to Improve Biomass Conversion: New Advances and Challenges for Tailoring Biocatalysts journal August 2019
Variant effect predictions capture some aspects of deep mutational scanning experiments journal March 2020
Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning journal February 2017
MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect journal November 2019
Impact of in vivo protein folding probability on local fitness landscapes posted_content June 2019
Single-mutation fitness landscapes for an enzyme on multiple substrates reveal specificity is globally encoded journal June 2017
Boosting the efficiency of site-saturation mutagenesis for a difficult-to-randomize gene by a two-step PCR strategy journal May 2018
Targeted mutagenesis: A sniper-like diversity generator in microbial engineering journal June 2017