Author
Listed:
- 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:
- 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.
- 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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