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Dysart, M. J.

Publications and source records attributed to Dysart, M. J..

2 recordsLinked to original sources

Cross-order detection of bacteriophage transduction in communities using ribosomal RNA barcoding

Bacteriophages (phages) facilitate gene transfer and microbial evolution in all ecosystems and have applications as tools for engineering microbiomes and as antimicrobials. Historic efforts to map phage hosts, such as plaque assays, are limited to culturable bacteria, are low throughput, and are hard to apply in environmentally-relevant contexts. To overcome these limitations, a synthetic ribozyme that stores information about DNA uptake in 16S ribosomal RNA (rRNA) was used to identify phage-host interactions by integrating the ribozyme into phage-plasmid P1 and performing targeted 16S rRNA sequencing following transduction. Experiments in synthetic and wastewater communities revealed Aeromonadales as a novel P1 host order and transduction of P1 into pathogens. Host range varied across phagemids with different origins of replication and phage particles with different tail fibers. This work shows how autonomous barcoding can be used in phages to identify the molecular controls on their host range in communities.

synthetic biology↗

Information storage across a microbial community using universal RNA memory

Biological recorders can code information in DNA, but they remain challenging to apply in complex microbial communities. To program microbiome information storage, a synthetic catalytic RNA (cat-RNA) was used to write information in ribosomal RNA (rRNA) about gene transfer host range. By reading out native and modified rRNA using amplicon sequencing, we find that 140 out of 279 wastewater microbial community members from twenty taxonomic orders participate in conjugation and observe differences in information storage across amplicon sequence variants. Twenty of the variants were only observed in modified rRNA amplicons, illustrating information storage sensitivity. This autonomous and reversible RNA-addressable memory (RAM) will enable biosurveillance and microbiome engineering across diverse ecological settings and studies of environmental controls on gene transfer and cellular uptake of extracellular materials. One-Sentence SummaryRibosomal RNA sequencing detects cellular events recorded across a wastewater microbial community using synthetic biology.

synthetic biology↗