Rapid Genetic Code Evolution in Green Algal Mitochondrial Genomes.

Mol Biol Evol

Département de Biochimie, Centre Robert Cedergren, Université de Montréal, CP 6128 succursale Centre-Ville, Montreal, QC, Canada.

Published: April 2019

AI Article Synopsis

  • The study explores changes in the mitochondrial genetic code of green plants, focusing on the evolution of codon assignments, particularly in chlorophyte algae.
  • Researchers analyzed mtDNAs from 51 species, confirming known stop-to-sense reassignments and identifying new sense-to-sense reassignments, such as AGG codons being decoded as alanine instead of arginine.
  • Using the CoreTracker framework, the study also examines tRNA evolution to understand how these genetic code modifications occur through gene duplication and structural changes.

Article Abstract

Genetic code deviations involving stop codons have been previously reported in mitochondrial genomes of several green plants (Viridiplantae), most notably chlorophyte algae (Chlorophyta). However, as changes in codon recognition from one amino acid to another are more difficult to infer, such changes might have gone unnoticed in particular lineages with high evolutionary rates that are otherwise prone to codon reassignments. To gain further insight into the evolution of the mitochondrial genetic code in green plants, we have conducted an in-depth study across mtDNAs from 51 green plants (32 chlorophytes and 19 streptophytes). Besides confirming known stop-to-sense reassignments, our study documents the first cases of sense-to-sense codon reassignments in Chlorophyta mtDNAs. In several Sphaeropleales, we report the decoding of AGG codons (normally arginine) as alanine, by tRNA(CCU) of various origins that carry the recognition signature for alanine tRNA synthetase. In Chromochloris, we identify tRNA variants decoding AGG as methionine and the synonymous codon CGG as leucine. Finally, we find strong evidence supporting the decoding of AUA codons (normally isoleucine) as methionine in Pycnococcus. Our results rely on a recently developed conceptual framework (CoreTracker) that predicts codon reassignments based on the disparity between DNA sequence (codons) and the derived protein sequence. These predictions are then validated by an evaluation of tRNA phylogeny, to identify the evolution of new tRNAs via gene duplication and loss, and structural modifications that lead to the assignment of new tRNA identities and a change in the genetic code.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551751PMC
http://dx.doi.org/10.1093/molbev/msz016DOI Listing

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