Reconstructing evolutionary relationships from functional data: a consistent classification of organisms based on translation inhibition response.
The last two decades have witnessed an unsurpassed effort aimed at reconstructing the history of life from the genetic information contained in extant organisms. The availability of many sequenced genomes has allowed the reconstruction of phylogenies from gene families and its comparison with traditional single-gene trees. However, the appearance of major discrepancies between both approaches questions whether horizontal gene transfer (HGT) has played a prominent role in shaping the topology of the Tree of Life. Recent attempts at solving this controversy and reaching a consensus tree combine molecular data with additional phylogenetic markers. Translation is a universal cellular function that involves a meaningful, highly conserved set of genes: both rRNA and r-protein operons have an undisputed phylogenetic value and rarely undergo HGT. Ribosomal function reflects the concerted expression of that genetic network and consequently yields information about the evolutionary paths followed by the organisms. Here we report on tree reconstruction using a measure of the performance of the ribosome: antibiotic sensitivity of protein synthesis. A large database has been used where 33 ribosomal systems belonging to the three major cellular lineages were probed against 38 protein synthesis inhibitors. Different definitions of distance between pairs of organisms have been explored, and the classical algorithm of bootstrap evaluation has been adapted to quantify the reliability of the reconstructions obtained. Our analysis returns a consistent phylogeny, where archaea are systematically affiliated to eukarya, in agreement with recent reconstructions which used information-processing systems. The integration of the information derived from relevant functional markers into current phylogenetic reconstructions might facilitate achieving a consensus Tree of Life.
Briones
Carlos
C
Centro de Astrobiología, Carretera de Ajalvir Km. 4, 28850 Torrejón de Ardoz, Madrid, Spain. brioneslc@inta.es
Manrubia
Susanna C
SC
Lázaro
Ester
E
Lazcano
Antonio
A
Amils
Ricardo
R
D001105:Archaea / Q000235:genetics; D001419:Bacteria / Q000235:genetics; D005075:Biological Evolution; D003627:Data Interpretation, Statistical; D010802:Phylogeny; D014176:Protein Biosynthesis / Q000235:genetics*