Protein Superfamily Evolution and the Last Universal Common Ancestor (LUCA) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-10

AUTHORS

Juan A. G. Ranea, Antonio Sillero, Janet M. Thornton, Christine A. Orengo

ABSTRACT

By exploiting three-dimensional structure comparison, which is more sensitive than conventional sequence-based methods for detecting remote homology, we have identified a set of 140 ancestral protein domains using very restrictive criteria to minimize the potential error introduced by horizontal gene transfer. These domains are highly likely to have been present in the Last Universal Common Ancestor (LUCA) based on their universality in almost all of 114 completed prokaryotic (Bacteria and Archaea) and eukaryotic genomes. Functional analysis of these ancestral domains reveals a genetically complex LUCA with practically all the essential functional systems present in extant organisms, supporting the theory that life achieved its modern cellular status much before the main kingdom separation (Doolittle 2000). In addition, we have calculated different estimations of the genetic and functional versatility of all the superfamilies and functional groups in the prokaryote subsample. These estimations reveal that some ancestral superfamilies have been more versatile than others during evolution allowing more genetic and functional variation. Furthermore, the differences in genetic versatility between protein families are more attributable to their functional nature rather than the time that they have been evolving. These differences in tolerance to mutation suggest that some protein families have eroded their phylogenetic signal faster than others, hiding in many cases, their ancestral origin and suggesting that the calculation of 140 ancestral domains is probably an underestimate. More... »

PAGES

513-525

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00239-005-0289-7

DOI

http://dx.doi.org/10.1007/s00239-005-0289-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014617528

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17021929


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