Biology subjects

Kang, S. C.

Publications and source records attributed to Kang, S. C..

3 recordsLinked to original sources

bioRxiv2024

Design and construction towards a pan-microbial toolkit

Establishing genetic tractability in non-model microbes requires identifying genetic parts that function in a target host. However, the paucity and purported narrow host range of available parts means that successful identification is governed by serendipity. Instead, a more comprehensive and scalable process would be desirable. Here, we describe the design principles for a pan-microbial genetic toolkit in which phylogenetically-diverse parts can be assembled and tested for function in microbes using high-throughput readouts. The architecture is based on Golden Gate Assembly, which simplifies the addition of parts and the construction of combinatorial libraries. We used this framework to develop two modules: first, the POSSUM (Plasmid Origins and Selection MarkerS for Undomesticated Microbes) module for identification of replicating plasmids in non-model microbes which includes 29 plasmid origin of replication sequences, 23 selection markers, and 30 unique DNA sequences for tracking by sequencing; second, the MACKEREL (Modular, NGS-trACKable ExpRession ELement) module, for identification of functional gene expression cassettes which includes 426 bacterial promoter-RBS sequences driving fluorescent reporter expression, trackable by flow cytometry. We demonstrate the use of these libraries to screen for functional promoter-RBS variants in 6 non-model microbes. Continued efforts to expand this pan-microbial toolbox will accelerate efforts to improve genetic tractability and guide research across the tree of life.

synthetic biology↗

bioRxiv2023

MicrobeMod: A computational toolkit for identifying prokaryotic methylation and restriction-modification with nanopore sequencing

Bacteria and archaea use restriction-modification (R-M) systems to distinguish self from foreign DNA by methylating their genomes with DNA methyltransferases with diverse sequence specificities, and these immunity systems often vary at the strain level. Identifying active methylation patterns and R-M systems can reveal barriers to the introduction of recombinant DNA or phage infection. Here, we present the computational MicrobeMod toolkit for identifying 5mC and 6mA methylation sequence motifs and R-M systems in bacterial genomes using nanopore sequencing of native DNA. We benchmark this approach on a set of reference E. coli strains expressing methyltransferases with known specificities. We then applied these analyses to 31 diverse bacterial and archaeal organisms to reveal the methylation patterns of strains with previously unexplored epigenetics, finding that prokaryotic 5-methylcytosine may be more common than previously reported. In summary, MicrobeMod can rapidly reveal new epigenetics within a prokaryotic genome sequenced with Oxford Nanopore R10.4.1 flow cells at sequencing depths as low as 10x and only requires native DNA. This toolkit can be used to advance fundamental knowledge of bacterial methylation and guide strategies to overcome R-M barriers of genetic tractability in non-model microbes.

microbiology↗

bioRxiv2023

A scalable framework for high-throughput identification of functional origins of replication in non-model bacteria

Microbial genetic manipulation requires access to engineerable plasmids that can be programmed to perturb genes, pathways and genomes. The extensive repertoire of plasmids available for model microbes, such as Escherichia coli, has facilitated fundamental biology studies and synthetic biology applications. However, the scarcity of plasmids for non-model microbes hinders efforts to broaden our biological knowledge and constrains the development of biotechnological solutions. In this study, we introduce a molecular toolkit and multiplexed screen to evaluate functional plasmids in non-model microbes. We constructed a collection of genetic parts consisting of 22 origins of replication (ORIs), 20 antibiotic selectable markers, and 30 molecular barcodes, which can be assembled combinatorially to create a library of plasmids trackable by next-generation DNA sequencing. We demonstrate our approach by delivering a pooled library of 22 ORIs to 12 bacterial species including extremophiles, electroactive bacteria and bioproduction strains. We report, for the first time, DNA delivery by conjugation and functional ORIs for Halomonas alkaliphila, Halomonas neptunia, and Shewanella electrodiphila. Furthermore, we expand the list of functional ORIs for Duganella zoogloeoides, Pseudomonas alcaliphila, Shewanella oneidensis and Shewanella putrefaciens. This screen provides a scalable high-throughput system to rapidly build and identify functional plasmids to establish genetic tractability in non-model microbes.

synthetic biology↗