Towards a Better Control of Engineered Circuit Transcription in Bacterial Genomes

The transcription of genes and engineered circuits can deeply vary when inserted into different genomic loci. This unpredictable performance, termed context sensitivity, complicates strain development. Although the causes and mechanisms of context sensitivity are emerging, it is poorly known how to engineer circuits and synthetic pathways isolated from it. Using tools of synthetic biology for designing and inserting various reporter cassettes in the Escherichia coli genome and RT-qPCR for directly measuring gene transcription, we first surveyed the genomic landscape for context sensitivity at 214 positions in cells grown in glucose or glycerol. The results show deep variations in cassette transcription with respect to position (up to 160-fold) and growth condition (up to a 30-fold). We then demonstrated that this position-dependent transcription variability is strongly reduced when the reporter cassette is insulated in an artificial protein-bound DNA loop. Finally, we measured the transcription of two loop-insulated genes at different genomic positions. The results show that transcription strongly depends on the relative orientation of the genes, promoter strength, and positive supercoiling. We present a model suggesting that DNA looping is an important cause of context sensitivity and can be used for better controlling the transcription of engineered circuits.

Authors

Institutions

Publication Details

Journal
Applied Microbiology
Published
2025-02-07
DOI
https://doi.org/10.3390/applmicrobiol5010017
Citations
3
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
Field-Weighted Citation Impact
5.45

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards a Better Control of Engineered Circuit Transcription in Bacterial Genomes

Brian C. Jester, Laurent Jannière, Nazim Sarica
3 citations
Applied Microbiology
Bacterial Genetics and Biotechnology
5.45
article

Towards a Better Control of Engineered Circuit Transcription in Bacterial Genomes

Brian C. Jester, Laurent Jannière, Nazim Sarica
article en
3 citations

Abstract

The transcription of genes and engineered circuits can deeply vary when inserted into different genomic loci. This unpredictable performance, termed context sensitivity, complicates strain development. Although the causes and mechanisms of context sensitivity are emerging, it is poorly known how to engineer circuits and synthetic pathways isolated from it. Using tools of synthetic biology for designing and inserting various reporter cassettes in the Escherichia coli genome and RT-qPCR for directly measuring gene transcription, we first surveyed the genomic landscape for context sensitivity at 214 positions in cells grown in glucose or glycerol. The results show deep variations in cassette transcription with respect to position (up to 160-fold) and growth condition (up to a 30-fold). We then demonstrated that this position-dependent transcription variability is strongly reduced when the reporter cassette is insulated in an artificial protein-bound DNA loop. Finally, we measured the transcription of two loop-insulated genes at different genomic positions. The results show that transcription strongly depends on the relative orientation of the genes, promoter strength, and positive supercoiling. We present a model suggesting that DNA looping is an important cause of context sensitivity and can be used for better controlling the transcription of engineered circuits.

Applied MicrobiologyVol. 5(1)
Centre National de la Recherche Scientifique (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Genoscope (FR), CEA Paris-Saclay (FR)
Centre National de la Recherche Scientifique
Openalex Percentile: Top 6%
Bacterial Genetics and Biotechnology
5.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.