Optimization of carbon and energy utilization through differential translational efficiency. Issue 1 (December 2018)

• Record Type: Journal Article
• Authors: Al-Bassam, Mahmoud; Kim, Ji-Nu; Zaramela, Livia; Kellman, Benjamin; Zuniga, Cristal; Wozniak, Jacob; Gonzalez, David; Zengler, Karsten
• Is Part Of: Nature communications. Volume 9:Issue 1(2018)
• Page Start: 1
• Page End: 13
• Publication Date: 2018-12
• Subjects: Biology -- Periodicals; Physical sciences -- Periodicals; 505
• DOI: 10.1038/s41467-018-06993-6
• Languages: English
• ISSNs: 2041-1723

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 acetogenClostridium 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. Microorganisms must regulate allocation of resources in nutrient-limited conditions. Here, the authors combine Ribo-seq, RNA-seq and TSS-seq to study resource allocation in the acetogenC. ljungdahlii, and show that dynamic regulation of translational efficiency of metabolic pathways is critical.