ORBIT for E. coli: kilobase-scale oligonucleotide recombineering at high throughput and high efficiency.
Scott H SaundersAyesha M AhmedPublished in: Nucleic acids research (2024)
Microbiology and synthetic biology depend on reverse genetic approaches to manipulate bacterial genomes; however, existing methods require molecular biology to generate genomic homology, suffer from low efficiency, and are not easily scaled to high throughput. To overcome these limitations, we developed a system for creating kilobase-scale genomic modifications that uses DNA oligonucleotides to direct the integration of a non-replicating plasmid. This method, Oligonucleotide Recombineering followed by Bxb-1 Integrase Targeting (ORBIT) was pioneered in Mycobacteria, and here we adapt and expand it for Escherichia coli. Our redesigned plasmid toolkit for oligonucleotide recombineering achieved significantly higher efficiency than λ Red double-stranded DNA recombineering and enabled precise, stable knockouts (≤134 kb) and integrations (≤11 kb) of various sizes. Additionally, we constructed multi-mutants in a single transformation, using orthogonal attachment sites. At high throughput, we used pools of targeting oligonucleotides to knock out nearly all known transcription factor and small RNA genes, yielding accurate, genome-wide, single mutant libraries. By counting genomic barcodes, we also show ORBIT libraries can scale to thousands of unique members (>30k). This work demonstrates that ORBIT for E. coli is a flexible reverse genetic system that facilitates rapid construction of complex strains and readily scales to create sophisticated mutant libraries.
Keyphrases
- escherichia coli
- high throughput
- genome wide
- copy number
- nucleic acid
- high efficiency
- dna methylation
- transcription factor
- single molecule
- single cell
- circulating tumor
- wild type
- cancer therapy
- cell free
- biofilm formation
- klebsiella pneumoniae
- wastewater treatment
- gene expression
- crispr cas
- mass spectrometry
- binding protein
- high resolution
- pseudomonas aeruginosa
- drug delivery
- genome wide identification
- quantum dots
- dna binding
- staphylococcus aureus
- bioinformatics analysis