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Characterizing Transcriptional Interference between Converging Genes in Bacteria.

Stefan A Hoffmann1, Nan Hao2,3, Keith E Shearwin2

  • 1Molecular Biotechnology, Institute for Biochemistry and Biology , University of Potsdam , Karl-Liebknecht-Straße 24-25 , 14476 Potsdam-Golm , Germany.

ACS Synthetic Biology
|February 6, 2019
PubMed
Summary

This study examines how bacteria manage gene expression when two genes are oriented toward each other. The researchers found that physical collisions between the molecular machines reading these genes, called RNA polymerases, can block transcription. By using mathematical models and experiments, they discovered that ribosomes trailing behind these machines help them survive collisions and continue their work. This insight improves our understanding of how genomes are organized and helps engineers design better synthetic genetic circuits.

Keywords:
Escherichia coliantisense transcriptiongene regulationmathematical modelingtranscriptional interferenceRNA polymerasegene expression controlsynthetic genetic circuitsantisense transcription

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Area of Science:

  • Transcriptional interference research within bacterial genetics
  • Synthetic biology and gene regulation mechanisms

Background:

No prior work had fully resolved the quantitative dynamics of long-range interactions between convergent genes in bacterial genomes. It was already known that antisense transcription frequently occurs across diverse biological systems. Researchers have increasingly utilized these phenomena to regulate synthetic genetic circuits. However, the specific mechanisms governing transcriptional interference between opposing genes remained poorly defined. This gap motivated a detailed investigation into how physical collisions impact gene expression. Prior research has shown that antisense RNA effects often complicate the interpretation of these interactions. That uncertainty drove the need to isolate physical interference from other regulatory processes. No previous study had successfully modeled the role of ribosome trailing in modulating polymerase collision outcomes.

Purpose Of The Study:

The study aims to quantitatively characterize long-range transcriptional interference between convergent genes in bacterial systems. Researchers sought to understand how the physical orientation of genes influences overall expression levels. They specifically investigated the role of untranslated intergenic spacers of increasing length in modulating these interactions. The team intended to isolate physical interference from other regulatory mechanisms like antisense RNA effects. This problem is significant because convergent gene arrangements are common in naturally occurring genomes. The investigators aimed to develop a model that accounts for RNA polymerase processivity and collision resistance. They wanted to determine how ribosome trailing affects the outcome of head-on molecular collisions. This work was motivated by the need to improve the predictability of synthetic genetic circuitry design.

Main Methods:

The review approach involved developing a mathematical framework to quantify long-range interactions between convergent genes. Researchers systematically varied the length of untranslated intergenic spacers to observe changes in expression levels. They utilized experimental measurements of spontaneous transcription termination rates within non-coding DNA segments. The team isolated physical interference by mathematically removing contributions from antisense RNA-mediated effects. This strategy allowed for the precise modeling of RNA polymerase processivity during transcription. The investigators assumed that ribosome trailing modulates the resistance of polymerases to physical collisions. They validated their computational predictions against observed total expression inhibition data. This rigorous analytical design ensured that the final model captured the dynamics of head-on molecular encounters.

Main Results:

The strongest finding indicates that an elongating RNA polymerase with a trailing ribosome is thirteen times more likely to resume transcription after a collision. This result emerged after controlling for antisense RNA effects, which accounted for approximately fifty percent of the total observed inhibition. The researchers established that physical collisions between opposing polymerases act as a primary source of gene expression suppression. Their modeling successfully achieved convergence by incorporating specific assumptions about polymerase processivity and collision resistance. The study confirms that untranslated intergenic spacers of varying lengths influence the magnitude of interference. These quantitative results highlight the protective role of ribosomes in maintaining transcriptional continuity. The data suggest that the probability of resuming transcription is significantly higher when ribosomes are present. This evidence provides a clear mechanism for how bacteria mitigate the negative consequences of convergent gene orientation.

Conclusions:

The authors propose that transcriptional interference significantly limits gene expression in convergent genomic architectures. Their synthesis suggests that antisense RNA contributes roughly fifty percent of the total observed inhibition. The researchers demonstrate that physical collisions between opposing RNA polymerases represent a major regulatory bottleneck. They conclude that ribosome trailing provides a protective mechanism for elongating molecular machines. The model implies that trailing ribosomes increase the likelihood of transcription resumption by thirteen-fold following head-on impacts. These findings suggest that genomic spacing influences the severity of interference between neighboring genes. The study highlights the importance of accounting for both RNA-mediated effects and physical collisions in genetic design. The authors imply that these dynamics are vital for understanding natural gene regulation and synthetic circuit performance.

The researchers propose that transcriptional interference occurs when opposing RNA polymerases collide. This physical interaction inhibits gene expression, with trailing ribosomes providing a thirteen-fold advantage in resuming transcription compared to polymerases lacking such support.

The authors utilized a mathematical model incorporating RNA polymerase processivity and collision resistance. They experimentally determined the spontaneous transcription termination rate within untranslated DNA regions to refine their computational simulations.

The researchers suggest that ribosome trailing is necessary to modulate collision resistance. Without these trailing structures, the elongating molecular machinery is significantly more prone to permanent stalling upon head-on encounters.

This data type serves to isolate physical interference from antisense RNA-mediated effects. By controlling for these RNA influences, which account for half of the inhibition, the team accurately quantified the impact of physical collisions.

The team measured the spontaneous transcription termination rate in untranslated DNA. This measurement allowed them to quantify how often polymerases stop naturally, independent of collisions with opposing machinery.

The authors propose that their findings provide a framework for predicting gene expression outcomes in synthetic circuits. They imply that understanding these interference dynamics is vital for optimizing the design of complex genetic architectures.