Automated Rational Strain Construction Based on High-Throughput Conjugation

Molecular cloning is the core of Synthetic Biology, as it comprises the assembly of DNA and its expression in target hosts. At present, however, cloning is most often a manual, time-consuming and repetitive process that highly benefits from automation. The automation of a complete rational cloning procedure, i.e., from DNA part creation to expression in the target host, involves the integration of different operations and machines. Examples of such workflows are sparse, especially when the design is rational (i.e., the DNA sequence design is fixed, and not based on randomized libraries) and the target host is less genetically tractable (e.g., not sensitive to heat-shock transformation). In this study, an automated workflow for the rational construction of plasmids and their subsequent conjugative transfer into the biotechnological platform organism Corynebacterium glutamicum is presented. The whole workflow is accompanied by a custom-made software tool. As an application example, a rationally designed library of transcription factor biosensors based on the regulator Lrp was constructed and characterized. A sensor with an improved dynamic range was obtained, and insights from the screening provided evidence for a dual regulator function of C. glutamicum Lrp.

[1]  Tom Ellis,et al.  DNA assembly for synthetic biology: from parts to pathways and beyond. , 2011, Integrative biology : quantitative biosciences from nano to macro.

[2]  S. Ogden,et al.  The Escherichia coli L-arabinose operon: binding sites of the regulatory proteins and a mechanism of positive and negative regulation. , 1980, Proceedings of the National Academy of Sciences of the United States of America.

[3]  A. Tauch,et al.  Tools for genetic engineering in the amino acid-producing bacterium Corynebacterium glutamicum. , 2003, Journal of biotechnology.

[4]  Neri Oxman,et al.  DNA Assembly in 3D Printed Fluidics , 2015, PloS one.

[5]  S. Noack,et al.  FeedER: a feedback-regulated enzyme-based slow-release system for fed-batch cultivation in microtiter plates , 2019, Bioprocess and Biosystems Engineering.

[6]  Huimin Zhao,et al.  Automated multiplex genome-scale engineering in yeast , 2017, Nature Communications.

[7]  M. Saier,et al.  Export of l-Isoleucine from Corynebacterium glutamicum: a Two-Gene-Encoded Member of a New Translocator Family , 2002, Journal of bacteriology.

[8]  Huimin Zhao,et al.  Engineering biological systems using automated biofoundries. , 2017, Metabolic engineering.

[9]  Peter Neubauer,et al.  Automated Cell Treatment for Competence and Transformation of Escherichia coli in a High-Throughput Quasi-Turbidostat Using Microtiter Plates , 2018, Microorganisms.

[10]  A. Pühler,et al.  A Broad Host Range Mobilization System for In Vivo Genetic Engineering: Transposon Mutagenesis in Gram Negative Bacteria , 1983, Bio/Technology.

[11]  Carole Goble,et al.  An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals , 2018, Communications Biology.

[12]  Dimitra N. Stratis-Cullum,et al.  Engineered integrative and conjugative elements for efficient and inducible DNA transfer to undomesticated bacteria , 2018, Nature Microbiology.

[13]  George M Church,et al.  Multiplexed Engineering in Biology. , 2016, Trends in biotechnology.

[14]  M. Inui,et al.  Manipulating Corynebacteria, from Individual Genes to Chromosomes , 2005, Applied and Environmental Microbiology.

[15]  T. Ohshima,et al.  Stimulated emission from nitrogen-vacancy centres in diamond , 2016, Nature Communications.

[16]  Marko Storch,et al.  DNA-BOT: a low-cost, automated DNA assembly platform for synthetic biology , 2019, bioRxiv.

[17]  Jameson K. Rogers,et al.  Evolution-guided optimization of biosynthetic pathways , 2014, Proceedings of the National Academy of Sciences.

[18]  Emden R. Gansner,et al.  Graphviz - Open Source Graph Drawing Tools , 2001, GD.

[19]  Matthew K. Theisen,et al.  Industrial Biotechnology: Escherichia coli as a Host , 2016 .

[20]  J. Kalinowski,et al.  Efficient Electrotransformation of Corynebacterium diphtheriae with a Mini-Replicon Derived from the Corynebacterium glutamicum Plasmid pGA1 , 2002, Current Microbiology.

[21]  Saurabh Sinha,et al.  Towards a fully automated algorithm driven platform for biosystems design , 2019, Nature Communications.

[22]  Bjarni V. Halldórsson,et al.  Coding variants in RPL3L and MYZAP increase risk of atrial fibrillation , 2018, Communications Biology.

[23]  C. Mülhardt,et al.  Cloning DNA Fragments , 2007 .

[24]  D. G. Gibson,et al.  Vibrio natriegens as a fast-growing host for molecular biology , 2016, Nature Methods.

[25]  Jungkyu Kim,et al.  End-to-end automated microfluidic platform for synthetic biology: from design to functional analysis , 2016, Journal of biological engineering.

[26]  Julia Frunzke,et al.  The development and application of a single-cell biosensor for the detection of l-methionine and branched-chain amino acids , 2012 .

[27]  Wes McKinney,et al.  Data Structures for Statistical Computing in Python , 2010, SciPy.

[28]  Douglas Densmore,et al.  Design Automation in Synthetic Biology. , 2017, Cold Spring Harbor perspectives in biology.

[29]  J. Kalinowski,et al.  Comprehensive analysis of the Corynebacterium glutamicum transcriptome using an improved RNAseq technique , 2013, BMC Genomics.

[30]  D. Zhao,et al.  A facile soft-template synthesis of mesoporous polymeric and carbonaceous nanospheres , 2013, Nature Communications.

[31]  Jay D Keasling,et al.  Programming adaptive control to evolve increased metabolite production , 2013, Nature Communications.

[32]  David Nielsen,et al.  High-throughput screening for efficient microbial biotechnology. , 2020, Current opinion in biotechnology.

[33]  Jing Liang,et al.  Fully Automated One-Step Synthesis of Single-Transcript TALEN Pairs Using a Biological Foundry. , 2017, ACS synthetic biology.

[34]  Sebastian J. Reich,et al.  Less Sacrifice, More Insight: Repeated Low-Volume Sampling of Microbioreactor Cultivations Enables Accelerated Deep Phenotyping of Microbial Strain Libraries. , 2018, Biotechnology journal.

[35]  K. Jarrod Millman,et al.  Array programming with NumPy , 2020, Nat..

[36]  J. Kalinowski,et al.  Cloning and characterization of a DNA region encoding a stress-sensitive restriction system from Corynebacterium glutamicum ATCC 13032 and analysis of its role in intergeneric conjugation with Escherichia coli , 1994, Journal of bacteriology.

[37]  Paul H Opgenorth,et al.  Lessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning. , 2019, ACS synthetic biology.

[38]  S. Phinn,et al.  Australian vegetated coastal ecosystems as global hotspots for climate change mitigation , 2019, Nature Communications.

[39]  S. Kinoshita,et al.  TAXONOMICAL STUDIES ON GLUTAMIC ACID-PRODUCING BACTERIA , 1967 .

[40]  D. G. Gibson,et al.  Enzymatic assembly of DNA molecules up to several hundred kilobases , 2009, Nature Methods.

[41]  H. Sahm,et al.  Isoleucine synthesis in Corynebacterium glutamicum: molecular analysis of the ilvB-ilvN-ilvC operon , 1993, Journal of bacteriology.

[42]  Christoph Wittmann,et al.  Metabolically engineered Corynebacterium glutamicum for bio-based production of chemicals, fuels, materials, and healthcare products. , 2018, Metabolic engineering.

[43]  Julia Frunzke,et al.  Lrp of Corynebacterium glutamicum controls expression of the brnFE operon encoding the export system for L-methionine and branched-chain amino acids. , 2012, Journal of biotechnology.

[44]  Tilmann Weber,et al.  Automating Cloning by Natural Transformation. , 2020, ACS synthetic biology.

[45]  Todd Miller,et al.  matplotlib – A Portable Python Plotting Package , 2006 .

[46]  Yu Wang,et al.  MACBETH: Multiplex automated Corynebacterium glutamicum base editing method. , 2018, Metabolic engineering.

[47]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.