A self‐propagating, barcoded transposon system for the dynamic rewiring of genomic networks

Author:

English Max A12ORCID,Alcantar Miguel A12ORCID,Collins James J1234ORCID

Affiliation:

1. Department of Biological Engineering Massachusetts Institute of Technology (MIT) Cambridge MA USA

2. Institute for Medical Engineering and Science, MIT Cambridge MA USA

3. Wyss Institute for Biologically Inspired Engineering Harvard University Boston MA USA

4. Broad Institute of MIT and Harvard Cambridge MA USA

Abstract

AbstractIn bacteria, natural transposon mobilization can drive adaptive genomic rearrangements. Here, we build on this capability and develop an inducible, self‐propagating transposon platform for continuous genome‐wide mutagenesis and the dynamic rewiring of gene networks in bacteria. We first use the platform to study the impact of transposon functionalization on the evolution of parallel Escherichia coli populations toward diverse carbon source utilization and antibiotic resistance phenotypes. We then develop a modular, combinatorial assembly pipeline for the functionalization of transposons with synthetic or endogenous gene regulatory elements (e.g., inducible promoters) as well as DNA barcodes. We compare parallel evolutions across alternating carbon sources and demonstrate the emergence of inducible, multigenic phenotypes and the ease with which barcoded transposons can be tracked longitudinally to identify the causative rewiring of gene networks. This work establishes a synthetic transposon platform that can be used to optimize strains for industrial and therapeutic applications, for example, by rewiring gene networks to improve growth on diverse feedstocks, as well as help address fundamental questions about the dynamic processes that have sculpted extant gene networks.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

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