title: CEGA--a catalog of conserved elements from genomic alignments.
abstract: By identifying genomic sequence regions conserved among several species, comparative genomics offers opportunities to discover putatively functional elements without any prior knowledge of what these functions might be. Comparative analyses across mammals estimated 4-5% of the human genome to be functionally constrained, a much larger fraction than the 1-2% occupied by annotated protein-coding or RNA genes. Such functionally constrained yet unannotated regions have been referred to as conserved non-coding sequences (CNCs) or ultra-conserved elements (UCEs), which remain largely uncharacterized but probably form a highly heterogeneous group of elements including enhancers, promoters, motifs, and others. To facilitate the study of such CNCs/UCEs, we present our resource of Conserved Elements from Genomic Alignments (CEGA), accessible from http://cega.ezlab.org. Harnessing the power of multiple species comparisons to detect genomic elements under purifying selection, CEGA provides a comprehensive set of CNCs identified at different radiations along the vertebrate lineage. Evolutionary constraint is identified using threshold-free phylogenetic modeling of unbiased and sensitive global alignments of genomic synteny blocks identified using protein orthology. We identified CNCs independently for five vertebrate clades, each referring to a different last common ancestor and therefore to an overlapping but varying set of CNCs with 24 488 in vertebrates, 241 575 in amniotes, 709 743 in Eutheria, 642 701 in Boreoeutheria and 612 364 in Euarchontoglires, spanning from 6 Mbp in vertebrates to 119 Mbp in Euarchontoglires. The dynamic CEGA web interface displays alignments, genomic locations, as well as biologically relevant data to help prioritize and select CNCs of interest for further functional investigations.
authors.affiliation: Department of Genetic Medicine and Development, University of Geneva Medical School, Swiss Institute of Bioinformatics, rue Michel-Servet 1, 1211 Geneva, Switzerland.
authors.forename: Aline
authors.initials: A
authors.lastname: Dousse
authors.affiliation: Department of Genetic Medicine and Development, University of Geneva Medical School, Swiss Institute of Bioinformatics, rue Michel-Servet 1, 1211 Geneva, Switzerland.
authors.forename: Thomas
authors.initials: T
authors.lastname: Junier
authors.affiliation: Department of Genetic Medicine and Development, University of Geneva Medical School, Swiss Institute of Bioinformatics, rue Michel-Servet 1, 1211 Geneva, Switzerland evgeny.zdobnov@unige.ch.
authors.forename: Evgeny M
authors.initials: EM
authors.lastname: Zdobnov
mesh_terms: D000818:Animals; D017124:Conserved Sequence; D030561:Databases, Nucleic Acid; D023281:Genomics; D006801:Humans; D051379:Mice; D051381:Rats; D016415:Sequence Alignment; D026801:Synteny