title: An alternative approach to multiple genome comparison.
abstract: Genome comparison is now a crucial step for genome annotation and identification of regulatory motifs. Genome comparison aims for instance at finding genomic regions either specific to or in one-to-one correspondence between individuals/strains/species. It serves e.g. to pre-annotate a new genome by automatically transferring annotations from a known one. However, efficiency, flexibility and objectives of current methods do not suit the whole spectrum of applications, genome sizes and organizations. Innovative approaches are still needed. Hence, we propose an alternative way of comparing multiple genomes based on segmentation by similarity. In this framework, rather than being formulated as a complex optimization problem, genome comparison is seen as a segmentation question for which a single optimal solution can be found in almost linear time. We apply our method to analyse three strains of a virulent pathogenic bacteria, Ehrlichia ruminantium, and identify 92 new genes. We also find out that a substantial number of genes thought to be strain specific have potential orthologs in the other strains. Our solution is implemented in an efficient program, qod, equipped with a user-friendly interface, and enables the automatic transfer of annotations between compared genomes or contigs (Video in Supplementary Data). Because it somehow disregards the relative order of genomic blocks, qod can handle unfinished genomes, which due to the difficulty of sequencing completion may become an interesting characteristic for the future. Availabilty: http://www.atgc-montpellier.fr/qod.
authors.affiliation: LIRMM - CNRS, Université Montpellier 2 - CC 477, 161, rue Ada, 34095 Montpellier Cedex 5, France.
authors.forename: Alban
authors.initials: A
authors.lastname: Mancheron
authors.forename: Raluca
authors.initials: R
authors.lastname: Uricaru
authors.forename: Eric
authors.initials: E
authors.lastname: Rivals
mesh_terms: D000465:Algorithms; D016995:Ehrlichia ruminantium / Q000145:classification / Q000235:genetics; D005798:Genes, Bacterial; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods*; D012984:Software; D013045:Species Specificity