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Optimization of carbon and energy utilization through differential translational efficiency
Control of translation is vital to all species. Here we employ a multi-omics approach to decipher condition-dependent translational regulation in the model acetogen Clostridium ljungdahlii. Integration of data from cells grown autotrophically or heterotrophically revealed that pathways critical to c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203783/ https://www.ncbi.nlm.nih.gov/pubmed/30367068 http://dx.doi.org/10.1038/s41467-018-06993-6 |
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author | Al-Bassam, Mahmoud M. Kim, Ji-Nu Zaramela, Livia S. Kellman, Benjamin P. Zuniga, Cristal Wozniak, Jacob M. Gonzalez, David J. Zengler, Karsten |
author_facet | Al-Bassam, Mahmoud M. Kim, Ji-Nu Zaramela, Livia S. Kellman, Benjamin P. Zuniga, Cristal Wozniak, Jacob M. Gonzalez, David J. Zengler, Karsten |
author_sort | Al-Bassam, Mahmoud M. |
collection | PubMed |
description | Control of translation is vital to all species. Here we employ a multi-omics approach to decipher condition-dependent translational regulation in the model acetogen Clostridium ljungdahlii. Integration of data from cells grown autotrophically or heterotrophically revealed that pathways critical to carbon and energy metabolism are under strong translational regulation. Major pathways involved in carbon and energy metabolism are not only differentially transcribed and translated, but their translational efficiencies are differentially elevated in response to resource availability under different growth conditions. We show that translational efficiency is not static and that it changes dynamically in response to mRNA expression levels. mRNAs harboring optimized 5′-untranslated region and coding region features, have higher translational efficiencies and are significantly enriched in genes encoding carbon and energy metabolism. In contrast, mRNAs enriched in housekeeping functions harbor sub-optimal features and have lower translational efficiencies. We propose that regulation of translational efficiency is crucial for effectively controlling resource allocation in energy-deprived microorganisms. |
format | Online Article Text |
id | pubmed-6203783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62037832018-10-29 Optimization of carbon and energy utilization through differential translational efficiency Al-Bassam, Mahmoud M. Kim, Ji-Nu Zaramela, Livia S. Kellman, Benjamin P. Zuniga, Cristal Wozniak, Jacob M. Gonzalez, David J. Zengler, Karsten Nat Commun Article Control of translation is vital to all species. Here we employ a multi-omics approach to decipher condition-dependent translational regulation in the model acetogen Clostridium ljungdahlii. Integration of data from cells grown autotrophically or heterotrophically revealed that pathways critical to carbon and energy metabolism are under strong translational regulation. Major pathways involved in carbon and energy metabolism are not only differentially transcribed and translated, but their translational efficiencies are differentially elevated in response to resource availability under different growth conditions. We show that translational efficiency is not static and that it changes dynamically in response to mRNA expression levels. mRNAs harboring optimized 5′-untranslated region and coding region features, have higher translational efficiencies and are significantly enriched in genes encoding carbon and energy metabolism. In contrast, mRNAs enriched in housekeeping functions harbor sub-optimal features and have lower translational efficiencies. We propose that regulation of translational efficiency is crucial for effectively controlling resource allocation in energy-deprived microorganisms. Nature Publishing Group UK 2018-10-26 /pmc/articles/PMC6203783/ /pubmed/30367068 http://dx.doi.org/10.1038/s41467-018-06993-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Al-Bassam, Mahmoud M. Kim, Ji-Nu Zaramela, Livia S. Kellman, Benjamin P. Zuniga, Cristal Wozniak, Jacob M. Gonzalez, David J. Zengler, Karsten Optimization of carbon and energy utilization through differential translational efficiency |
title | Optimization of carbon and energy utilization through differential translational efficiency |
title_full | Optimization of carbon and energy utilization through differential translational efficiency |
title_fullStr | Optimization of carbon and energy utilization through differential translational efficiency |
title_full_unstemmed | Optimization of carbon and energy utilization through differential translational efficiency |
title_short | Optimization of carbon and energy utilization through differential translational efficiency |
title_sort | optimization of carbon and energy utilization through differential translational efficiency |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203783/ https://www.ncbi.nlm.nih.gov/pubmed/30367068 http://dx.doi.org/10.1038/s41467-018-06993-6 |
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