Optimization of carbon and energy utilization through differential translational efficiency

Mahmoud M. Al-Bassam, Ji-Nu Kim, Livia S. Zaramela, Benjamin P. Kellman, Cristal Zuniga, Jacob M. Wozniak, David J. Gonzalez and Karsten Zengler ()
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Mahmoud M. Al-Bassam: University of California San Diego
Ji-Nu Kim: University of California San Diego
Livia S. Zaramela: University of California San Diego
Benjamin P. Kellman: University of California San Diego
Cristal Zuniga: University of California San Diego
Jacob M. Wozniak: University of California San Diego
David J. Gonzalez: University of California San Diego
Karsten Zengler: University of California San Diego

Nature Communications, 2018, vol. 9, issue 1, 1-13

Abstract: Abstract 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.

Date: 2018
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DOI: 10.1038/s41467-018-06993-6

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