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Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria.

Emily A SewardSteven Kelly
Published in: Genome biology (2018)
This analysis provides a simple mechanistic explanation for variation in evolutionary rate between genes that depends on selection-driven cost-efficiency optimization of the transcript. These findings reveal how optimization of resource allocation to messenger RNA synthesis is a critical factor that determines both the evolution and composition of genes.
Keyphrases
  • genome wide
  • dna methylation
  • genome wide identification
  • copy number
  • bioinformatics analysis
  • single cell
  • gene expression
  • rna seq
  • transcription factor