Biology subjects

Barrick, J. E.

Publications and source records attributed to Barrick, J. E..

4 recordsLinked to original sources

bioRxiv2018

Synthetic genome defenses against selfish DNA elements stabilize engineered bacteria against evolutionary failure

Mobile genetic elements drive evolution by disrupting genes and rearranging genomes. Eukaryotes have evolved epigenetic mechanisms, including DNA methylation and RNA interference, that silence mobile elements and thereby preserve the integrity of their genomes. We created an artificial reprogrammable epigenetic system based on CRISPR interference to give engineered bacteria a similar line of defense against transposons and other selfish elements in their genomes. We demonstrate that this CRISPR interference against mobile elements (CRISPRi-ME) approach can be used to simultaneously repress two different transposon families in Escherichia coli, thereby increasing the evolutionary stability of costly protein expression. We further show that silencing a transposon in Acinetobacter baylyi ADP1 reduces mutation rates by a factor of five, nearly as much as deleting all copies of this element from its genome. By deploying CRISPRi-ME on a broad-host-range vector we have created a generalizable platform for stabilizing the genomes of engineered bacterial cells for applications in metabolic engineering and synthetic biology.\n\nSignificanceEngineered cells often cease to function or lose productivity when mutations arise in their genomes. Mobile DNA elements, such as transposons, are major sources of these inactivating mutations. Eukaryotic genomes have evolved flexible epigenetic defenses against mobile DNA that help them to maintain genome integrity, but bacteria do not possess comparable silencing systems. We developed a synthetic control system based on CRISPR interference that can be used to give bacterial cells a reprogrammable line of defense against selfish DNA elements in their genomes. We show that this system effectively represses multicopy transposons and multiple families of transposons. Limiting selfish DNA proliferation within a genome in this way improves the reliability of genetically engineered functions in replicating bacterial cell populations.

evolutionary biology↗

bioRxiv2018

Directed evolution of Escherichia coli with lower-than-natural plasmid mutation rates

Unwanted evolution of designed DNA sequences limits metabolic and genome engineering efforts. Engineered functions that are burdensome to host cells and slow their replication are rapidly inactivated by mutations, and unplanned mutations with unpredictable effects often accumulate alongside designed changes in large-scale genome editing projects. We developed a directed evolution strategy, Periodic Reselection for Evolutionarily Reliable Variants (PResERV), to discover mutations that prolong the function of a burdensome DNA sequence in an engineered organism. Here, we used PResERV to isolate E. coli cells that replicate ColE1 plasmids with higher fidelity. We found mutations in DNA polymerases I and IV and in RNase E that reduce plasmid mutation rates by 6-to 30-fold. The PResERV method implicitly selects to maintain the growth rate of host cells, and high plasmid copy numbers and gene expression levels are maintained in some of the evolved E. coli strains, indicating that it is possible to improve the genetic stability of cellular chassis without encountering trade-offs in other desirable performance characteristics. Utilizing these new antimutator E. coli and applying PResERV to other organisms in the future promises to prevent evolutionary failures and unpredictability to provide a more stable genetic foundation for synthetic biology.

evolutionary biology↗

bioRxiv2018

An evolutionary innovation is contingent on maintaining adaptive potential until competition subsides

After 15 years of the Lenski experiment one of twelve Escherichia coli populations evolved the ability to utilize an abundant but previously untapped carbon source, citrate. Mutations responsible for the appearance of rudimentary citrate utilization (Cit+ phenotype) and for refining this ability have been characterized. However, the complete nature of the genetic and/or ecological events that set the stage for this key innovation remain unknown. We found that there was a slight fitness benefit for introducing an activated citT cassette that mimics the mutation causing Cit+ into the ancestor of the evolution experiment and strains isolated from the population close to when it evolved. However, there was no benefit or even a large deleterious effect in intermediate strains. We conclude that achieving Cit+ was contingent on both an evolutionary trajectory that maintained a potentiated genetic state and the slowing rate of adaptation in this population late in the experiment.

evolutionary biology↗

bioRxiv2016

The E. coli molecular phenotype under different growth conditions

Modern systems biology requires extensive, carefully curated measurements of cellular components in response to different environmental conditions. While high-throughput methods have made transcriptomics and proteomics datasets widely accessible and relatively economical to generate, systematic measurements of both mRNA and protein abundances under a wide range of different conditions are still relatively rare. Here we present a detailed, genome-wide transcriptomics and proteomics dataset of E. coli grown under 34 different conditions. We manipulate concentrations of sodium and magnesium in the growth media, and we consider four different carbon sources glucose, gluconate, lactate, and glycerol. Moreover, samples are taken both in exponential and stationary phase, and we include two extensive time-courses, with multiple samples taken between 3 hours and 2 weeks. We find that exponential-phase samples systematically differ from stationary-phase samples, in particular at the level of mRNA. Regulatory responses to different carbon sources or salt stresses are more moderate, but we find numerous differentially expressed genes for growth on gluconate and under salt and magnesium stress. Our data set provides a rich resource for future computational modeling of E. coli gene regulation, transcription, and translation.

bioinformatics↗