Project description:It is known that current the-art-of-the-state TadA8 and TadA8e which evolved from E. coli TadA. They inherited the 'YA' context from tRNA deaminase. We started with wildtype E. coli TadA and designed an evolution campaign to force TadA variants to deaminate “GA” with fast kinetics. Three rounds of de novo directed evolution followed by DNA shuffling led to TadA8r, a TadA variant of superior “RA” deamination activity. TadA8r acts on a broadened editing window when fused to Streptococcus pyogenes Cas9 (SpCas9) and delivers robust editing at PAM distal positions. While highly active at on-target sites, ABE8r shows off-target DNA and RNA editing much lower than ABE8e. The off-target effects of ABE8r can be further mitigated by introducing a V106W substitution23, a R153 deletion22, or by mRNA delivery. Lastly, we demonstrate ABE8r-mediated correction of G1961E in ABCA4, the most prevalent mutation driving Stargardt disease (STGD1), in a “GA” context. ABE8r, with its superior activity and broadened context compatibility, complements and expands the current ABE family.
Project description:These E. coli strains were grown with various signaling molecules and the expression profiles were determined. Keywords: addition of quorum and host hormone signals
Project description:Ultra-sensitive quantification of heterogeneous mutations reveals the replication-directed genomic asymmetry in Escherichia coli generated through accelerated laboratory evolution
Project description:Adenine base editors (ABEs) are precise gene-editing agents that convert A:T pairs into G:C through a deoxyinosine intermediate. ABEs function most effectively when the target A is in a TA context. Deficient ABE processing of RA (R = A or G) is most evident when the target A is outside the comfortable editing window or when delivery is suboptimal. In the current study, we report directed evolution of TadA8r, a new variant of the Escherichia coli tRNA-specific adenosine deaminase (TadA) with ultra-fast deoxyadenosine deamination and no context bias.
Project description:In order to understand the impact of genetic variants on transcription and ultimately in changes in observed phenotypes we have measured transcript levels in an Escherichia coli strains collection, for which genetic and phenotypic data has also been measured.
Project description:To understand the mechanism of isopropanol tolerance of Escherichia coli for improvement of isopropanol production, we performed genome re-sequencing and transcriptome analysis of isopropanol tolerant E. coli strains obtained from parallel adaptive laboratory evolution under IPA stress.
Project description:Understanding how genetic variation contributes to phenotypic differences is a fundamental question in biology. Combining high-throughput gene function assays with mechanistic models of the impact of genetic variants is a promising alternative to genome-wide association studies. Here we have assembled a large panel of 696 Escherichia coli strains, which we have genotyped and measured their phenotypic profile across 214 growth conditions. We integrated variant effect predictors to derive gene-level probabilities of loss of function for every gene across all strains. Finally, we combined these probabilities with information on conditional gene essentiality in the reference K-12 strain to compute the growth defects of each strain. Not only could we reliably predict these defects in up to 38% of tested conditions, but we could also directly identify the causal variants that were validated through complementation assays. Our work demonstrates the power of forward predictive models and the possibility of precision genetic interventions.
