Evidence map›Paper›PMID 27098217›Full record

ArticleNature communications2016

Energy efficiency trade-offs drive nucleotide usage in transcribed regions.

Wei-Hua Chen, Guanting Lu, Peer Bork, Songnian Hu, Martin J Lercher

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Codon bias, nucleotide selection, and genome size predict in situ bacterial growth rate and transcription in rewetted soil.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Simultaneous glucose and xylose utilization by anApplied and environmental microbiology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Strand asymmetries across genomic processes.Computational and structural biotechnology journal · 2023
    Review
  16. Article
  17. Article
  18. Complete Mitogenomes ofAnimals : an open access journal from MDPI · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Wei-Hua ChenCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.ORCID http://orcid.org/0000-0001-5160-4398
Guanting LuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Peer BorkStructural and Computational Unit, European Molecular Biology Laboratory, Heidelberg 69117, Germany.
Songnian HuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.ORCID http://orcid.org/0000-0003-3966-3111
Martin J LercherInstitute for Computer Science and Cluster of Excellence on Plant Sciences, Heinrich Heine University, Düsseldorf 40225, Germany.
Chinese Academy of Sciences · CNCluster of Excellence on Plant Sciences · DEMax Delbrück Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genome, BacterialProtein BiosynthesisTranscription, GeneticAmino AcidsBacteriaBase CompositionBase PairingBiological EvolutionCodonModels, GeneticMutationNucleotidesOperonSelection, GeneticThermodynamicsAmino AcidsCodonNucleotides

Identifiers

PMID27098217
PMCPMC4844684
OpenAlexW2338583862

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.