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Next-Generation Approaches to Overcome the Challenges of Metabolic Pathway Engineering 1Department Abstract Ashlee Smith1, Clay Swackhamer2, Sam Krug1, Emily Sileo3, Howard Salis1,2, Tom Richard2 of Chemical Engineering, 2Department of Ag. and Biological Engineering 3Department of Biochemistry and Molecular Biology The Pennsylvania State University Our Construct Engineering metabolic pathways requires answering several questions and often performing many experiments. We sought to answer such "combinatorial questions" using new biophysical models and experimental approaches. First, we employed the CRISPR/Cas9 system to identify the missing enzymes of a metabolic pathway that functions in one organism, but not in another. We demonstrate our approach on a 5-enzyme catabolic pathway that functions in P. putida, but not in E. coli. Once a multi-enzyme pathway functions in a preferred host, the DNA sequence of the system must then be optimized to achieve a desired metabolic activity. We took a forward engineering approach to systematically investigate the differences in translation rate capacity when using either "frequent", "fast", "rare", or "slow" synonymous codons during codon optimization of protein coding sequences. Our research will enable metabolic engineers to overcome two of the most commonly encountered combinatorial questions during metabolic pathway engineering. Codon Optimization Objectives Sac1 Pst1 Inverse PCR pFTV(2.8kb) Pst1 Inverse PCRProducts OldCodingSequence Pst1 Cla1 Inserting GFP pFTV(2.8kb) Leader Sequence Variant GFP Leader Sequence Xho1 Cla1 Variant GFP Currently, we have successfully completed all constructs except for slow GFP (4). Stop Codon pFTV with GFP pFTV(2.8kb) Xho1 Cla1 Start Leader Sequence Codon Variant GFP Design and Methods Stop Codon 1) Use Gibson CBA and restriction digests and ligations to assemble plasmid containing dCas9 2) Insert dCas9 (plasmid 1) into P. putida genome using homologous recombination Terminator dRBS sequence (36 nt) Pst1 Sac1 Completed Construct CHOSENCODON J23100 Promoter Chloramphenicol Resistance Current Progress Assembled the first plasmid and attempting to insert into the genome via homologous recombination HmfABCDE gene cluster breaks down furan derivatives to components of the citric acid cycle Stop Codon Start Codon Design Koopman et. al. identified the 5 gene pathway that detoxifies furan derivatives in C. basilensis and P. putida – does not function in E. coli Cla1 Xho1 Pst1 Optimized superfolder GFP, a gene derived from GFP mut3b by Stephan Milde and Jim Haseloff, iGEM Cambridge 2008 Substitute degenerate codons with higher or lower translation efficiency without altering the amino acid protein sequence to change protein expression levels 1) Validate the HMF pathway and dCas9 function in P. putida 2) Identify the essential genes of the HMF pathway using dCas9 combinatorial gene knockdown 3) Develop a program for automated genome comparisons 4) Engineer the functioning pathway in E. coli Used inverse PCR to excise the existing GFP, amplify the backbone, introduce new restriction sites to insert a dRBS containing leader sequence and variant coding sequence pFTV(2.8kb) Sac1 Pst1 Goal: Determine the essential genes of the 5-(hydroxymethyl) furfural (HMF) pathway and engineer E. coli with this pathway. Allow for more efficient microbial biofuel production and higher biofuel yields. Cla1 • Search for novel optimization criteria and apply them to a reporter gene • Express the codon optimized variants and draw conclusions about the effects of non-standard codon optimization methods on translation elongation. • Investigate an additional point of control for genetic engineering Used pFTV vector to express variant GFPs - contained effective origin of replication, antibiotic resistance marker, promoter, and terminator Forward Primer OldCodingSequence Sac1 Objectives Cla1 Reverse Primer Sac1 Biodetoxification Introduction The kanamycin resistance gene is part of the overlap for the next plasmid containing the HMF pathway Cannot complete cloning until first plasmid is inserted into genome ColE1 Origin of Replication Results Average FLPC of two replicates for each strain of common 2 1 3 4000 4 3500 5 3000 DegenerateCodons AVerage FLPC 2500 dCas9 PCR 2000 FTV backbone PCR 1500 Future Steps 1000 500 0 G2 T5 G2 T17 G2 T19 G2 T7 G2 T10 G2 T3 G2 T8 G2 T18 G2 T14 G2 T11 G2 T15 G2 T4 G2 T1 G2 T13 G2 T6 G2 T16 G2 T12 G2 T2 G2 T9 G2 T20 G2 T21 Average FLPC of two replicates for each strain of fast 4500 4000 3500 Coding sequence analysis. Blue is for rare, Green is for rare, Yellow is for codons that do not fall under the common or rare category. Our degenerate Ribosome Binding Site (dRBS)was designed C using the Ribosome Binding Site The dRBS Calculator (Salis, Nature Biotech (48 distinct sequences) A C A G 2009). Each GFP coding CTGGAGGARTAGSTTMGRGVGGTC sequence started with a leader A GC G A G sequence to eliminate discrepancies in translation initiation rate. Average FLPC 3000 2500 3) Construct plasmid containing HMF pathway, insert into genome 4) Test the function of dCas9 by knocking out RFP and test the function of HMF pathway by doing a furfural consumption assay 5) Assemble CRISPR RNA library and insert into plasmid 6) Conduct gene knockdown experiments using combinatorial dCas9 Combinatorial Gene Knockdown Using dCas9 2000 1500 1000 500 0 1 4 2 5 7 9 8 3 11 12 6 10 18 20 16 13 32 19 34 22 21 29 As of now, common codon optimization results in better expression of superfolder GFP over varying translation initiation rate. Further studies would be to compare and characterize rare and slow codon optimized GFP coding sequence variants. This could lead to more effective ways to repress gene expression for undesirable genes. Iman Farasat identified 19 target genes that could be related to the HMF pathway Knock out combinations of 2 or 3 genes Sequence the constructs that no longer consumes furfural Targets: Cofactors, chaperone proteins, ATPases, accessory proteins Continue attempts to insert HMF and dCas9 into P. putida genome Validate function of dCas9 using RFP knockout Continue characterization of Slow, Rare GFP variants Acknowledgements Dr. Howard Salis and Dr. Tom Richard for helping develop our project ideas Graduate students Iman Farasat and Chiam Yu Ng for assisting us in wetlab work Penn State Institutes of Energy and the Environment for funding References: (1) Koopman, Frank, et al. "Identification and characterization of the furfural and 5-(hydroxymethyl) furfural degradation pathways of Cupriavidus basilensis HMF14." Proceedings of the National Academy of Sciences 107.11 (2010): 4919-4924. (2) Graf, Nadja, and Josef Altenbuchner. "Development of a method for markerless gene deletion in Pseudomonas putida." Applied and environmental microbiology 77.15 (2011): 5549-5552 (3) Subramaniam, Arvind R, Tao Pan, and Philippe Cluzel. “Environmental Perturbations Lift the Degeneracy of the Genetic Code to Regulate Protein Levels in Bacteria.” Proceedings of the National Academy of Sciences of the United States of America 110.6 (2013): 2419–24. Web. 26 May 2014.