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Structural Phylogenomics Retrodicts the Origin of the Genetic Code and Uncovers the Evolutionary Impact of Protein Flexibility

Overview of attention for article published in PLOS ONE, August 2013
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Title
Structural Phylogenomics Retrodicts the Origin of the Genetic Code and Uncovers the Evolutionary Impact of Protein Flexibility
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0072225
Pubmed ID
Authors

Gustavo Caetano-Anollés, Minglei Wang, Derek Caetano-Anollés

Abstract

The genetic code shapes the genetic repository. Its origin has puzzled molecular scientists for over half a century and remains a long-standing mystery. Here we show that the origin of the genetic code is tightly coupled to the history of aminoacyl-tRNA synthetase enzymes and their interactions with tRNA. A timeline of evolutionary appearance of protein domain families derived from a structural census in hundreds of genomes reveals the early emergence of the 'operational' RNA code and the late implementation of the standard genetic code. The emergence of codon specificities and amino acid charging involved tight coevolution of aminoacyl-tRNA synthetases and tRNA structures as well as episodes of structural recruitment. Remarkably, amino acid and dipeptide compositions of single-domain proteins appearing before the standard code suggest archaic synthetases with structures homologous to catalytic domains of tyrosyl-tRNA and seryl-tRNA synthetases were capable of peptide bond formation and aminoacylation. Results reveal that genetics arose through coevolutionary interactions between polypeptides and nucleic acid cofactors as an exacting mechanism that favored flexibility and folding of the emergent proteins. These enhancements of phenotypic robustness were likely internalized into the emerging genetic system with the early rise of modern protein structure.

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Geographical breakdown

Country Count As %
India 2 3%
Canada 2 3%
Sweden 1 1%
Germany 1 1%
United Kingdom 1 1%
France 1 1%
Unknown 66 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 15 20%
Student > Master 9 12%
Student > Bachelor 8 11%
Professor 4 5%
Other 16 22%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 46%
Biochemistry, Genetics and Molecular Biology 16 22%
Computer Science 5 7%
Physics and Astronomy 2 3%
Environmental Science 1 1%
Other 6 8%
Unknown 10 14%