title: Streamlining and large ancestral genomes in Archaea inferred with a phylogenetic birth-and-death model.
abstract: Homologous genes originate from a common ancestor through vertical inheritance, duplication, or horizontal gene transfer. Entire homolog families spawned by a single ancestral gene can be identified across multiple genomes based on protein sequence similarity. The sequences, however, do not always reveal conclusively the history of large families. To study the evolution of complete gene repertoires, we propose here a mathematical framework that does not rely on resolved gene family histories. We show that so-called phylogenetic profiles, formed by family sizes across multiple genomes, are sufficient to infer principal evolutionary trends. The main novelty in our approach is an efficient algorithm to compute the likelihood of a phylogenetic profile in a model of birth-and-death processes acting on a phylogeny. We examine known gene families in 28 archaeal genomes using a probabilistic model that involves lineage- and family-specific components of gene acquisition, duplication, and loss. The model enables us to consider all possible histories when inferring statistics about archaeal evolution. According to our reconstruction, most lineages are characterized by a net loss of gene families. Major increases in gene repertoire have occurred only a few times. Our reconstruction underlines the importance of persistent streamlining processes in shaping genome composition in Archaea. It also suggests that early archaeal genomes were as complex as typical modern ones, and even show signs, in the case of the methanogenic ancestor, of an extremely large gene repertoire.
authors: Department of Computer Science and Operations Research, University of Montréal, Montréal, Canada. csuros@iro.umontreal.ca
authors: Miklós
authors: M
authors: Csurös
authors: István
authors: I
authors: Miklós
mesh_terms: D019943:Amino Acid Substitution / Q000235:genetics; D001105:Archaea / Q000235:genetics*; D001483:Base Sequence; D019295:Computational Biology; D019143:Evolution, Molecular; D019766:Genes, Archaeal; D020745:Genome, Archaeal / Q000235:genetics*; D008957:Models, Genetic; D010802:Phylogeny