ArticleScientific reports2017
Selection for energy efficiency drives strand-biased gene distribution in prokaryotes.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Replication-transcription collisions impose DNA strand-specific constraints on gene length in bacteria.PLoS genetics · 2026Article
- Long range segmentation of prokaryotic genomes by gene age and functionality.Nucleic acids research · 2024Article
- Article
- Long range segmentation of prokaryotic genomes by gene age and functionality.bioRxiv : the preprint server for biology · 2024Article
- Origin, evolution, and maintenance of gene-strand bias in bacteria.Nucleic acids research · 2024Article
- Article
- An optimal growth law for RNA composition and its partial implementation through ribosomal and tRNA gene locations in bacterial genomes.PLoS genetics · 2021Article
- Physicochemical Foundations of Life that Direct Evolution: Chance and Natural Selection are not Evolutionary Driving Forces.Life (Basel, Switzerland) · 2020Article
- Geptop 2.0: An Updated, More Precise, and Faster Geptop Server for Identification of Prokaryotic Essential Genes.Frontiers in microbiology · 2019Article
- Prokaryotic Genome Expansion Is Facilitated by Phages and Plasmids but Impaired by CRISPR.Frontiers in microbiology · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lagging-strand genes accumulate more deleterious mutations. Genes are thus preferably located on the leading strand, an observation known as strand-biased gene distribution (SGD). Despite of this mechanistic understanding, a satisfactory quantitative model is still lacking. Replication-transcription-collisions induce stalling of the replication machinery, expose DNA to various attacks, and are followed by error-prone repairs. We found that mutational biases in non-transcribed regions can explain ~71% of the variations in SGDs in 1,552 genomes, supporting the mutagenesis origin of SGD. Mutational biases introduce energetically cheaper nucleotides on the lagging strand, and result in more expensive protein products; consistently, the cost difference between the two strands explains ~50% of the variance in SGDs. Protein costs decrease with increasing gene expression. At similar expression levels, protein products of leading-strand genes are generally cheaper than lagging-strand genes; however, highly-expressed lagging genes are still cheaper than lowly-expressed leading genes. Selection for energy efficiency thus drives some genes to the leading strand, especially those highly expressed and essential, but certainly not all genes. Stronger mutational biases are often associated with low-GC genomes; as low-GC genes encode expensive proteins, low-GC genomes thus tend to have stronger SGDs to alleviate the stronger pressure on efficient energy usage.
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