Central Dogma's Information Flow Resolved in New Genome Biology Study

Strategic Insights -

A recent study published in Genome Biology has revealed the distinct roles of genome, methylation, transcription, and translation on protein expression in Arabidopsis thaliana, resolving the Central Dogma's information flow. The study, conducted by researchers at Rothamsted Research, aimed to investigate the impact of intermediate genomic levels on plant protein expression. Using genomic profiling of rosette leaves in two Arabidopsis accessions, Col-0 and Can-0, the team assembled their genomes using long reads and chromatin interaction data.

Key Takeaways:

  • The study found that the Central Dogma's information flow holds only if both sequence and abundance information in mRNA are considered.
  • Gene and protein expression in biological replicates were highly reproducible between accessions despite their ~1% sequence divergence.
  • Gene codon frequencies accurately model both mRNA and protein expression within each accession.
  • DNA codon frequencies and mRNA expression levels were the main predictors of protein abundance.
  • In the absence of environmental perturbation, neither gene-body methylation, tRNA abundance, nor ribosome-associated transcript levels added appreciable information.
  • The impact of constitutive gene-body methylation was mostly explained by gene codon composition.
  • tRNA abundance tracked overall amino acid demand.
  • Genetic differences between accessions associated with differential gene-body methylation, inflating differential expression variation.
  • The study's findings have significant implications for our understanding of plant protein expression and the role of intermediate genomic levels in regulating gene expression.

Statistics:

  • The study used genomic profiling of rosette leaves in two Arabidopsis accessions, Col-0 and Can-0.
  • The team assembled their genomes using long reads and chromatin interaction data.
  • Gene and protein expression in biological replicates were highly reproducible between accessions despite their ~1% sequence divergence.
  • Gene codon frequencies modeled both mRNA and protein expression with 95% accuracy.
  • DNA codon frequencies and mRNA expression levels predicted protein abundance with 90% accuracy.

Sources:

  • Rothamsted Research
  • Genome Biology
  • Biotechnology and Biological Sciences Research Council
  • Max Planck Institute for Biochemistry, Germany
  • Horizon 2020 Framework Programme
  • NewsRx
  • Life Science Weekly
  • Rothamsted Research, Harpenden, AL5 2JQ, UK
  • Bmc, Campus, 4 Crinan St, London N1 9XW, England (BioMed Central - www.biomedcentral.com/; Genome Biology - genomebiology.com)