Stochasticity of gene expression as a motor of epigenetics in bacteria: from individual to collective behaviors |
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| Institution: | 1. Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Sud, Université Paris-Saclay, Orsay, France;2. LBPA, UMR 8113, CNRS, ENS Paris-Saclay, Université Paris-Saclay, F-94235, Cachan, France;1. Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”-Universidad de Málaga-Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), 29071 Málaga, Spain;2. Departamento de Microbiología, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, 29071 Málaga, Spain;1. Division of Soil and Water Management, KU Leuven, Kasteelpark Arenberg 20 Bus 2459, B-3001 Heverlee, Belgium;2. Laboratory for Process Microbial Ecology and Bioinspirational Management (PME&BIM), Department of Microbial and Molecular Systems (M2S), KU Leuven, Campus De Nayer, Fortsesteenweg 30A, B-2860 Sint-Katelijne-Waver, Belgium |
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| Abstract: | Measuring gene expression at the single cell and single molecule level has recently made possible the quantitative measurement of stochasticity of gene expression. This enables identification of the probable sources and roles of noise. Gene expression noise can result in bacterial population heterogeneity, offering specific advantages for fitness and survival in various environments. This trait is therefore selected during the evolution of the species, and is consequently regulated by a specific genetic network architecture. Examples exist in stress-response mechanisms, as well as in infection and pathogenicity strategies, pointing to advantages for multicellularity of bacterial populations. |
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| Keywords: | Stochasticity Gene expression Regulatory networks Bistability Epigenetics Multicellularity |
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