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Michaël Bon

Publications and source records attributed to Michaël Bon.

2 recordsLinked to original sources

Many expressed genes in bacteria and yeast are transcribed only once per cell cycle.

The steady-state levels of all mature transcripts expressed in bacteria and yeast have been cataloged, but we do not yet know the numbers of nascent transcripts and so RNA polymerases engaged on all genes. Such catalogs are presented here. As mRNA levels depend on the balance between synthesis and degradation, we use published data to calculate the numbers of engaged polymerases required to maintain these levels in the face of the known rate of degradation. Most genes, including essential ones, prove not to be transcribed most of the time, and many produce only one message per cell cycle. Some cells even fail to produce an essential message during a cycle, and so must depend on their mother's messages and/or proteins for survival. We speculate that evolution sets the rate of message production so low to conserve energy, minimize transcription-induced mutation, and permit regulation over the widest range.

Adaptation, Physiological↗

Modeling a self-avoiding chromatin loop: relation to the packing problem, action-at-a-distance, and nuclear context.

There is now convincing evidence that genomes are organized into loops, and that looping brings distant genes together so that they can bind to local concentrations of polymerases in "factories" or "hubs." As there remains no systematic analysis of how looping affects the probability that a gene can access binding sites in such factories/hubs, we used an algorithm that we devised and Monte Carlo methods to model a DNA or chromatin loop as a semiflexible (self-avoiding) tube attached to a sphere; we examine how loop thickness, rigidity, and contour length affect where particular segments of the loop lie relative to binding sites on the sphere. Results are compared with those obtained with the traditional model of an (infinitely thin) freely jointed chain. They provide insights into the packing problem (how long genomes are packed into small nuclei), and action-at-a-distance (how firing of one origin or gene can prevent firing of an adjacent one).

Algorithms↗