Biology subjects

Staubus, A.

Publications and source records attributed to Staubus, A..

2 recordsLinked to original sources

bioRxiv2023

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↗

bioRxiv2022

A split ribozyme that links detection of a native RNA to orthogonal protein outputs

Individual RNA remains a challenging signal to synthetically transduce into different types of cellular information. Here, we describe Ribozyme-ENabled Detection of RNA (RENDR), a plug-and-play strategy that uses cellular transcripts to template the assembly of split ribozymes, triggering splicing reactions that generate orthogonal protein outputs. To identify split ribozymes that require templating for splicing, we used laboratory evolution to evaluate the activities of different split variants of the Tetrahymena thermophila ribozyme. The best design delivered a 93-fold dynamic range of splicing with RENDR controlling fluorescent protein production in response to an RNA input. We resolved a thermodynamic model to guide RENDR design, showed how input signals can be transduced into diverse visual, chemical, and regulatory outputs, and used RENDR to detect an antibiotic resistance phenotype in bacteria. This work shows how transcriptional signals can be monitored in situ using RNA synthetic biology and converted into different types of biochemical information.

synthetic biology↗