Gene transcription repression in Clostridium beijerinckii using CRISPR-dCas9.

CRISPR-Cas9 has been explored as a powerful tool for genome engineering for many organisms. Meanwhile, dCas9 which lacks endonuclease activity but can still bind to target loci has been engineered for efficient gene transcription repression. Clostridium beijerinckii, an industrially significant species capable of biosolvent production, is generally difficult to metabolically engineer. Recently, we reported our work in developing customized CRISPR-Cas9 system for genome engineering in C. beijerinckii. However, in many cases, gene expression repression (rather than actual DNA mutation) is more desirable for various biotechnological applications. Here, we further demonstrated gene transcription repression in C. beijerinckii using CRISPR-dCas9. A small RNA promoter was employed to drive the expression of the single chimeric guide RNA targeting on the promoter region of amylase gene, while a constitutive thiolase promoter was used to drive Streptococcus pyogenes dCas9 expression. The growth assay on starch agar plates showed qualitatively significant repression of amylase activity in C. beijerinckii transformant with CRISPR-dCas9 compared to the control strain. Further amylase activity quantification demonstrated consistent repression (65-97% through the fermentation process) on the activity in the transformant with CRISPR-dCas9 versus in the control. Our results provided essential references for engineering CRISPR-dCas9 as an effective tool for tunable gene transcription repression in diverse microorganisms. Biotechnol. Bioeng. 2016;113: 2739-2743. © 2016 Wiley Periodicals, Inc.

Bacterial Genome Editing with CRISPR-Cas9: Deletion, Integration, Single Nucleotide Modification, and Desirable "Clean" Mutant Selection in Clostridium beijerinckii as an Example.

CRISPR-Cas9 has been demonstrated as a transformative genome engineering tool for many eukaryotic organisms; however, its utilization in bacteria remains limited and ineffective. Here we explored Streptococcus pyogenes CRISPR-Cas9 for genome editing in Clostridium beijerinckii (industrially significant but notorious for being difficult to metabolically engineer) as a representative attempt to explore CRISPR-Cas9 for genome editing in microorganisms that previously lacked sufficient genetic tools. By combining inducible expression of Cas9 and plasmid-borne editing templates, we successfully achieved gene deletion and integration with high efficiency in single steps. We further achieved single nucleotide modification by applying innovative two-step approaches, which do not rely on availability of Protospacer Adjacent Motif sequences. Severe vector integration events were observed during the genome engineering process, which is likely difficult to avoid but has never been reported by other researchers for the bacterial genome engineering based on homologous recombination with plasmid-borne editing templates. We then further successfully employed CRISPR-Cas9 as an efficient tool for selecting desirable "clean" mutants in this study. The approaches we developed are broadly applicable and will open the way for precise genome editing in diverse microorganisms.

Low-dimensional attractor for neural activity from local field potentials in optogenetic mice.

We used optogenetic mice to investigate possible nonlinear responses of the medial prefrontal cortex (mPFC) local network to light stimuli delivered by a 473 nm laser through a fiber optics. Every 2 s, a brief 10 ms light pulse was applied and the local field potentials (LFPs) were recorded with a 10 kHz sampling rate. The experiment was repeated 100 times and we only retained and analyzed data from six animals that showed stable and repeatable response to optical stimulations. The presence of nonlinearity in our data was checked using the null hypothesis that the data were linearly correlated in the temporal domain, but were random otherwise. For each trail, 100 surrogate data sets were generated and both time reversal asymmetry and false nearest neighbor (FNN) were used as discriminating statistics for the null hypothesis. We found that nonlinearity is present in all LFP data. The first 0.5 s of each 2 s LFP recording were dominated by the transient response of the networks. For each trial, we used the last 1.5 s of steady activity to measure the phase resetting induced by the brief 10 ms light stimulus. After correcting the LFPs for the effect of phase resetting, additional preprocessing was carried out using dendrograms to identify "similar" groups among LFP trials. We found that the steady dynamics of mPFC in response to light stimuli could be reconstructed in a three-dimensional phase space with topologically similar "8"-shaped attractors across different animals. Our results also open the possibility of designing a low-dimensional model for optical stimulation of the mPFC local network.

Directed evolution of a cellobiose utilization pathway in Saccharomyces cerevisiae by simultaneously engineering multiple proteins.

BACKGROUND: The optimization of metabolic pathways is critical for efficient and economical production of biofuels and specialty chemicals. One such significant pathway is the cellobiose utilization pathway, identified as a promising route in biomass utilization. Here we describe the optimization of cellobiose consumption and ethanol productivity by simultaneously engineering both proteins of the pathway, the ß-glucosidase (gh1-1) and the cellodextrin transporter (cdt-1), in an example of pathway engineering through directed evolution. RESULTS: The improved pathway was assessed based on the strain specific growth rate on cellobiose, with the final mutant exhibiting a 47% increase over the wild-type pathway. Metabolite analysis of the engineered pathway identified a 49% increase in cellobiose consumption (1.78 to 2.65 g cellobiose/(L · h)) and a 64% increase in ethanol productivity (0.611 to 1.00 g ethanol/(L · h)). CONCLUSIONS: By simultaneously engineering multiple proteins in the pathway, cellobiose utilization in S. cerevisiae was improved. This optimization can be generally applied to other metabolic pathways, provided a selection/screening method is available for the desired phenotype. The improved in vivo cellobiose utilization demonstrated here could help to decrease the in vitro enzyme load in biomass pretreatment, ultimately contributing to a reduction in the high cost of biofuel production.