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Enzymic recognition of amino acids drove the evolution of primordial genetic codes.
Douglas, Jordan; Bouckaert, Remco; Carter, Charles W; Wills, Peter R.
Afiliación
  • Douglas J; Department of Physics, The University of Auckland, New Zealand.
  • Bouckaert R; Centre for Computational Evolution, The University of Auckland, New Zealand.
  • Carter CW; Centre for Computational Evolution, The University of Auckland, New Zealand.
  • Wills PR; School of Computer Science, The University of Auckland, New Zealand.
Nucleic Acids Res ; 52(2): 558-571, 2024 Jan 25.
Article en En | MEDLINE | ID: mdl-38048305
ABSTRACT
How genetic information gained its exquisite control over chemical processes needed to build living cells remains an enigma. Today, the aminoacyl-tRNA synthetases (AARS) execute the genetic codes in all living systems. But how did the AARS that emerged over three billion years ago as low-specificity, protozymic forms then spawn the full range of highly-specific enzymes that distinguish between 22 diverse amino acids? A phylogenetic reconstruction of extant AARS genes, enhanced by analysing modular acquisitions, reveals six AARS with distinct bacterial, archaeal, eukaryotic, or organellar clades, resulting in a total of 36 families of AARS catalytic domains. Small structural modules that differentiate one AARS family from another played pivotal roles in discriminating between amino acid side chains, thereby expanding the genetic code and refining its precision. The resulting model shows a tendency for less elaborate enzymes, with simpler catalytic domains, to activate amino acids that were not synthesised until later in the evolution of the code. The most probable evolutionary route for an emergent amino acid type to establish a place in the code was by recruiting older, less specific AARS, rather than adapting contemporary lineages. This process, retrofunctionalisation, differs from previously described mechanisms through which amino acids would enter the code.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Evolución Molecular / Código Genético / Aminoacil-ARNt Sintetasas Idioma: En Revista: Nucleic Acids Res Año: 2024 Tipo del documento: Article País de afiliación: Nueva Zelanda

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Evolución Molecular / Código Genético / Aminoacil-ARNt Sintetasas Idioma: En Revista: Nucleic Acids Res Año: 2024 Tipo del documento: Article País de afiliación: Nueva Zelanda