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Analyzing stochastic transcription to elucidate the nucleoid's organization

BACKGROUND: The processes of gene transcription, translation, as well as the reactions taking place between gene products, are subject to stochastic fluctuations. These stochastic events are being increasingly examined as it emerges that they can be crucial in the cell's survival. In a previous...

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Autores principales: Riva, Alessandra, Carpentier, Anne-Sophie, Barloy-Hubler, Frédérique, Chéron, Angélique, Hénaut, Alain
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2270832/
https://www.ncbi.nlm.nih.gov/pubmed/18331647
http://dx.doi.org/10.1186/1471-2164-9-125
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author Riva, Alessandra
Carpentier, Anne-Sophie
Barloy-Hubler, Frédérique
Chéron, Angélique
Hénaut, Alain
author_facet Riva, Alessandra
Carpentier, Anne-Sophie
Barloy-Hubler, Frédérique
Chéron, Angélique
Hénaut, Alain
author_sort Riva, Alessandra
collection PubMed
description BACKGROUND: The processes of gene transcription, translation, as well as the reactions taking place between gene products, are subject to stochastic fluctuations. These stochastic events are being increasingly examined as it emerges that they can be crucial in the cell's survival. In a previous study we had examined the transcription patterns of two bacterial species (Escherichia coli and Bacillus subtilis) to elucidate the nucleoid's organization. The basic idea is that genes that share transcription patterns, must share some sort of spatial relationship, even if they are not close to each other on the chromosome. We had found that picking any gene at random, its transcription will be correlated with genes at well-defined short – as well as long-range distances, leaving the explanation of the latter an open question. In this paper we study the transcription correlations when the only transcription taking place is stochastic, in other words, no active or "deterministic" transcription takes place. To this purpose we use transcription data of Sinorhizobium meliloti. RESULTS: Even when only stochastic transcription takes place, the co-expression of genes varies as a function of the distance between genes: we observe again the short-range as well as the regular, long-range correlation patterns. CONCLUSION: We explain these latter with a model based on the physical constraints acting on the DNA, forcing it into a conformation of groups of a few successive large and transcribed loops, which are evenly spaced along the chromosome and separated by small, non-transcribed loops. We discuss the question about the link between shared transcription patterns and physiological relationship and come to the conclusion that when genes are distantly placed along the chromosome, the transcription correlation does not imply a physiological relationship.
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spelling pubmed-22708322008-03-21 Analyzing stochastic transcription to elucidate the nucleoid's organization Riva, Alessandra Carpentier, Anne-Sophie Barloy-Hubler, Frédérique Chéron, Angélique Hénaut, Alain BMC Genomics Research Article BACKGROUND: The processes of gene transcription, translation, as well as the reactions taking place between gene products, are subject to stochastic fluctuations. These stochastic events are being increasingly examined as it emerges that they can be crucial in the cell's survival. In a previous study we had examined the transcription patterns of two bacterial species (Escherichia coli and Bacillus subtilis) to elucidate the nucleoid's organization. The basic idea is that genes that share transcription patterns, must share some sort of spatial relationship, even if they are not close to each other on the chromosome. We had found that picking any gene at random, its transcription will be correlated with genes at well-defined short – as well as long-range distances, leaving the explanation of the latter an open question. In this paper we study the transcription correlations when the only transcription taking place is stochastic, in other words, no active or "deterministic" transcription takes place. To this purpose we use transcription data of Sinorhizobium meliloti. RESULTS: Even when only stochastic transcription takes place, the co-expression of genes varies as a function of the distance between genes: we observe again the short-range as well as the regular, long-range correlation patterns. CONCLUSION: We explain these latter with a model based on the physical constraints acting on the DNA, forcing it into a conformation of groups of a few successive large and transcribed loops, which are evenly spaced along the chromosome and separated by small, non-transcribed loops. We discuss the question about the link between shared transcription patterns and physiological relationship and come to the conclusion that when genes are distantly placed along the chromosome, the transcription correlation does not imply a physiological relationship. BioMed Central 2008-03-10 /pmc/articles/PMC2270832/ /pubmed/18331647 http://dx.doi.org/10.1186/1471-2164-9-125 Text en Copyright © 2008 Riva et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Riva, Alessandra
Carpentier, Anne-Sophie
Barloy-Hubler, Frédérique
Chéron, Angélique
Hénaut, Alain
Analyzing stochastic transcription to elucidate the nucleoid's organization
title Analyzing stochastic transcription to elucidate the nucleoid's organization
title_full Analyzing stochastic transcription to elucidate the nucleoid's organization
title_fullStr Analyzing stochastic transcription to elucidate the nucleoid's organization
title_full_unstemmed Analyzing stochastic transcription to elucidate the nucleoid's organization
title_short Analyzing stochastic transcription to elucidate the nucleoid's organization
title_sort analyzing stochastic transcription to elucidate the nucleoid's organization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2270832/
https://www.ncbi.nlm.nih.gov/pubmed/18331647
http://dx.doi.org/10.1186/1471-2164-9-125
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