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Energy efficiency trade-offs drive nucleotide usage in transcribed regions

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  • Wei-Hua Chen

    (CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences
    Structural and Computational Unit, European Molecular Biology Laboratory
    Present address: Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva 1211, Switzerland; SIB Swiss Institute of Bioinformatics, University Medical Center, Rue Michel-Servet 1, Geneva 1211, Switzerland)

  • Guanting Lu

    (CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences)

  • Peer Bork

    (Structural and Computational Unit, European Molecular Biology Laboratory
    Max Delbrück Centre for Molecular Medicine)

  • Songnian Hu

    (CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences)

  • Martin J. Lercher

    (Institute for Computer Science and Cluster of Excellence on Plant Sciences, Heinrich Heine University)

Abstract

Efficient nutrient usage is a trait under universal selection. A substantial part of cellular resources is spent on making nucleotides. We thus expect preferential use of cheaper nucleotides especially in transcribed sequences, which are often amplified thousand-fold compared with genomic sequences. To test this hypothesis, we derive a mutation-selection-drift equilibrium model for nucleotide skews (strand-specific usage of ‘A’ versus ‘T’ and ‘G’ versus ‘C’), which explains nucleotide skews across 1,550 prokaryotic genomes as a consequence of selection on efficient resource usage. Transcription-related selection generally favours the cheaper nucleotides ‘U’ and ‘C’ at synonymous sites. However, the information encoded in mRNA is further amplified through translation. Due to unexpected trade-offs in the codon table, cheaper nucleotides encode on average energetically more expensive amino acids. These trade-offs apply to both strand-specific nucleotide usage and GC content, causing a universal bias towards the more expensive nucleotides ‘A’ and ‘G’ at non-synonymous coding sites.

Suggested Citation

  • Wei-Hua Chen & Guanting Lu & Peer Bork & Songnian Hu & Martin J. Lercher, 2016. "Energy efficiency trade-offs drive nucleotide usage in transcribed regions," Nature Communications, Nature, vol. 7(1), pages 1-10, September.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11334
    DOI: 10.1038/ncomms11334
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    Cited by:

    1. Haoxuan Liu & Jianzhi Zhang, 2022. "Testing the adaptive hypothesis of lagging-strand encoding in bacterial genomes," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    2. Houra Merrikh & Christopher Merrikh, 2022. "Reply to: Testing the adaptive hypothesis of lagging-strand encoding in bacterial genomes," Nature Communications, Nature, vol. 13(1), pages 1-5, December.

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