Genome-wide probabilistic reconciliation analysis across vertebrates

• Published in: BMC bioinformatics Vol. 14; no. Suppl 15; p. S10
• Main Authors: Mahmudi, Owais, Sjöstrand, Joel, Sennblad, Bengt, Lagergren, Jens
• Format: Journal Article Conference Proceeding
• Language: English
• Published: London BioMed Central 2013; Springer Nature B.V
• Subjects: Algorithms; Animals; Bayes Theorem; Bayesian analysis; Bioinformatics; Biomedical and Life Sciences; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Evolution; Evolution, Molecular; Gene Duplication; Gene Tree Reconstruction; Genes; Genome; Humans; Life Sciences; Microarrays; Phylogeny; Proceedings; Reconciliation; Sequences; Vertebrates - genetics; Gene Duplication; Species Tree; Markov Chain Monte Carlo; Gene Tree; Posterior Distribution
• ISSN: 1471-2105; 1471-2105
• DOI: 10.1186/1471-2105-14-S15-S10

Gene duplication is considered to be a major driving force in evolution that enables the genome of a species to acquire new functions. A reconciliation - a mapping of gene tree vertices to the edges or vertices of a species tree - explains where gene duplications have occurred on the species tree. In this study, we sample reconciliations from a posterior over reconciliations, gene trees, edge lengths and other parameters, given a species tree and gene sequences. We employ a Bayesian analysis tool, based on the probabilistic model DLRS that integrates gene duplication, gene loss and sequence evolution under a relaxed molecular clock for substitution rates, to obtain this posterior. By applying these methods, we perform a genome-wide analysis of a nine species dataset, OPTIC, and conclude that for many gene families, the most parsimonious reconciliation (MPR) - a reconciliation that minimizes the number of duplications - is far from the correct explanation of the evolutionary history. For the given dataset, we observe that approximately 19% of the sampled reconciliations are different from MPR. This is in clear contrast with previous estimates, based on simpler models and less realistic assumptions, according to which 98% of the reconciliations can be expected to be identical to MPR. We also generate heatmaps showing where in the species trees duplications have been most frequent during the evolution of these species.