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Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors

Here, we determined the relative importance of different transcriptional mechanisms in the genome-reduced bacterium Mycoplasma pneumoniae, by employing an array of experimental techniques under multiple genetic and environmental perturbations. Of the 143 genes tested (21% of the bacterium’s annotate...

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Autores principales: Yus, Eva, Lloréns-Rico, Verónica, Martínez, Sira, Gallo, Carolina, Eilers, Hinnerk, Blötz, Cedric, Stülke, Jörg, Lluch-Senar, Maria, Serrano, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721554/
https://www.ncbi.nlm.nih.gov/pubmed/31445891
http://dx.doi.org/10.1016/j.cels.2019.07.001
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author Yus, Eva
Lloréns-Rico, Verónica
Martínez, Sira
Gallo, Carolina
Eilers, Hinnerk
Blötz, Cedric
Stülke, Jörg
Lluch-Senar, Maria
Serrano, Luis
author_facet Yus, Eva
Lloréns-Rico, Verónica
Martínez, Sira
Gallo, Carolina
Eilers, Hinnerk
Blötz, Cedric
Stülke, Jörg
Lluch-Senar, Maria
Serrano, Luis
author_sort Yus, Eva
collection PubMed
description Here, we determined the relative importance of different transcriptional mechanisms in the genome-reduced bacterium Mycoplasma pneumoniae, by employing an array of experimental techniques under multiple genetic and environmental perturbations. Of the 143 genes tested (21% of the bacterium’s annotated proteins), only 55% showed an altered phenotype, highlighting the robustness of biological systems. We identified nine transcription factors (TFs) and their targets, representing 43% of the genome, and 16 regulators that indirectly affect transcription. Only 20% of transcriptional regulation is mediated by canonical TFs when responding to perturbations. Using a Random Forest, we quantified the non-redundant contribution of different mechanisms such as supercoiling, metabolic control, RNA degradation, and chromosome topology to transcriptional changes. Model-predicted gene changes correlate well with experimental data in 95% of the tested perturbations, explaining up to 70% of the total variance when also considering noise. This analysis highlights the importance of considering non-TF-mediated regulation when engineering bacteria.
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spelling pubmed-67215542019-09-06 Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors Yus, Eva Lloréns-Rico, Verónica Martínez, Sira Gallo, Carolina Eilers, Hinnerk Blötz, Cedric Stülke, Jörg Lluch-Senar, Maria Serrano, Luis Cell Syst Article Here, we determined the relative importance of different transcriptional mechanisms in the genome-reduced bacterium Mycoplasma pneumoniae, by employing an array of experimental techniques under multiple genetic and environmental perturbations. Of the 143 genes tested (21% of the bacterium’s annotated proteins), only 55% showed an altered phenotype, highlighting the robustness of biological systems. We identified nine transcription factors (TFs) and their targets, representing 43% of the genome, and 16 regulators that indirectly affect transcription. Only 20% of transcriptional regulation is mediated by canonical TFs when responding to perturbations. Using a Random Forest, we quantified the non-redundant contribution of different mechanisms such as supercoiling, metabolic control, RNA degradation, and chromosome topology to transcriptional changes. Model-predicted gene changes correlate well with experimental data in 95% of the tested perturbations, explaining up to 70% of the total variance when also considering noise. This analysis highlights the importance of considering non-TF-mediated regulation when engineering bacteria. Cell Press 2019-08-28 /pmc/articles/PMC6721554/ /pubmed/31445891 http://dx.doi.org/10.1016/j.cels.2019.07.001 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Yus, Eva
Lloréns-Rico, Verónica
Martínez, Sira
Gallo, Carolina
Eilers, Hinnerk
Blötz, Cedric
Stülke, Jörg
Lluch-Senar, Maria
Serrano, Luis
Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors
title Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors
title_full Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors
title_fullStr Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors
title_full_unstemmed Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors
title_short Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors
title_sort determination of the gene regulatory network of a genome-reduced bacterium highlights alternative regulation independent of transcription factors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721554/
https://www.ncbi.nlm.nih.gov/pubmed/31445891
http://dx.doi.org/10.1016/j.cels.2019.07.001
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