Genetic engineering is a powerful approach for discovering fundamental aspects of bacterial physiology, metabolism, and pathogenesis. The problem is the vast majority of bacteria that can be grown in a laboratory remain genetically intractable, beyond the power of genetics for elucidating function or for engineering for human use. The challenge of genetic intractability stymies basic-, synthetic-, and translational-microbiology research and development. Researchers spend years constructing ad hoc genetic systems one species at a time, an arduous and expensive process. Here, we introduce a groundbreaking, rapid, broadly applicable technology for rendering any cultivable bacterial species genetically tractable, irrespective of taxonomic lineage or genetic and physical barriers. We expect our approach will transform microbial research in medicine, the environment, and biotechnology. Our SyngenicDNA-?POET (Microfluidic Parametric Optimization of Electroporation based Transformation) platform is a combination of two entirely novel, broadly applicable, and currently unavailable technologies, co-operatively designed to overcome the two underlying causes of genetic intractability within most bacteria. The first new technology, SyngenicDNA, overcomes the complex bacterial defense mechanisms that degrade non-self DNA by using a rapid host-mimicking strategy. This novel strategy recodes the DNA of any genetic tool (e.g., plasmids or transposons) to eliminate target non-self signatures recognized by a specific bacterial strain of interest, thus preventing DNA degradation by innate Restriction Modification (RM) and Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-Cas systems. The second new technology, ?POET, overcomes the physical barrier to non-self DNA entry using microfluidics and robotics. ?POET leverages high-throughput microfluidic electroporation to create a transformation platform compatible with 96-well plate liquid handling systems to enable rapid screening of electroporation conditions, two to three orders of magnitude faster than traditional cuvette based approaches. Once established, the SyngenicDNA- ?POET platform will be a resource allowing the generation of genetic tractability in virtually any cultivable bacterial species over the span of weeks, rather than years. As proof of principle, we will demonstrate the power of the SyngenicDNA-?POET platform on the human oral microbiome. The paucity of genetically tractable bacteria is a formidable challenge to deciphering the functional attributes of members of the human microbiome. We will expand the current Human Oral Microbiome Database (HOMD) and establish the Human Oral Microbiome Culture (HOMC) collection: an initial repository of 200 model bacterial strains representing species across six different phyla within the oral microbiome, each made genetically tractable using the SyngenicDNA- ?POET platform. This resource will rapidly accelerate fundamental investigations into the role of oral species in human health and disease. Our overarching goal is to provide a universally applicable methodology to rapidly render most bacteria genetically tractable.

Public Health Relevance

Bacteria are ubiquitous and critically important in every field of medicineand across NIH Institutes. Genetic engineering is a powerful approach for discovering and modifying fundamental aspects of bacterial physiology, metabolism, and pathogenesis. We propose to develop a widely- applicable technology that can overcome the innate barriers to genetic engineering that exist in the vast majority of bacterial species, in order to rapidly accelerate fundamental investigations into the role of bacteria in numerous ecosystems, including the human microbiome.

Agency
National Institute of Health (NIH)
Institute
National Institute of Dental & Craniofacial Research (NIDCR)
Type
Research Project (R01)
Project #
1R01DE027850-01
Application #
9369398
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Lunsford, Dwayne
Project Start
2017-09-08
Project End
2022-08-31
Budget Start
2017-09-08
Budget End
2018-08-31
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Forsyth Institute
Department
Type
DUNS #
062190616
City
Cambridge
State
MA
Country
United States
Zip Code
02142
Juárez, Javier F; Lecube-Azpeitia, Begoña; Brown, Stuart L et al. (2018) Biosensor libraries harness large classes of binding domains for construction of allosteric transcriptional regulators. Nat Commun 9:3101