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Optimization of carbon and energy utilization through differential translational efficiency.

Mahmoud M Al-BassamJi-Nu KimLivia S ZaramelaBenjamin P KellmanCristal ZunigaJacob M WozniakDavid J GonzalezKarsten Zengler
Published in: Nature communications (2018)
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.
Keyphrases
  • magnetic resonance
  • gene expression
  • big data
  • transcription factor
  • artificial intelligence
  • genome wide identification