GLOOME: gain loss mapping engine

UNLABELLED The evolutionary analysis of presence and absence profiles (phyletic patterns) is widely used in biology. It is assumed that the observed phyletic pattern is the result of gain and loss dynamics along a phylogenetic tree. Examples of characters that are represented by phyletic patterns include restriction sites, gene families, introns and indels, to name a few. Here, we present a user-friendly web server that accurately infers branch-specific and site-specific gain and loss events. The novel inference methodology is based on a stochastic mapping approach utilizing models that reliably capture the underlying evolutionary processes. A variety of features are available including the ability to analyze the data with various evolutionary models, to infer gain and loss events using either stochastic mapping or maximum parsimony, and to estimate gain and loss rates for each character analyzed. AVAILABILITY Freely available for use at http://gloome.tau.ac.il/.

[1]  M. Nei,et al.  Evolutionary change of restriction cleavage sites and phylogenetic inference for man and apes. , 1985, Molecular biology and evolution.

[2]  R. Gray,et al.  Language-tree divergence times support the Anatolian theory of Indo-European origin , 2003, Nature.

[3]  Diego Pol,et al.  Biases in Maximum Likelihood and Parsimony: A Simulation Approach to a 10-Taxon Case , 2001 .

[4]  Miklós Csűrös,et al.  On the Estimation of Intron Evolution , 2006, PLoS computational biology.

[5]  E. Koonin,et al.  Three distinct modes of intron dynamics in the evolution of eukaryotes. , 2007, Genome research.

[6]  N. Saitou,et al.  The neighbor-joining method: a new method for reconstructing phylogenetic trees. , 1987, Molecular biology and evolution.

[7]  Y Suzuki,et al.  Reliabilities of parsimony-based and likelihood-based methods for detecting positive selection at single amino acid sites. , 2001, Molecular biology and evolution.

[8]  Fredrik Ronquist,et al.  Bayesian Inference of Character Evolution , 2022 .

[9]  A. R. Templeton,et al.  PHYLOGENETIC INFERENCE FROM RESTRICTION ENDONUCLEASE CLEAVAGE SITE MAPS WITH PARTICULAR REFERENCE TO THE EVOLUTION OF HUMANS AND THE APES , 1983, Evolution; international journal of organic evolution.

[10]  Adi Stern,et al.  A likelihood framework to analyse phyletic patterns , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[11]  Ofir Cohen,et al.  Large-scale parsimony analysis of metazoan indels in protein-coding genes. , 2010, Molecular biology and evolution.

[12]  Weilong Hao,et al.  Patterns of bacterial gene movement. , 2004, Molecular biology and evolution.

[13]  Miklós Csuös,et al.  Count: evolutionary analysis of phylogenetic profiles with parsimony and likelihood , 2010, Bioinform..

[14]  G. B. Golding,et al.  The fate of laterally transferred genes: life in the fast lane to adaptation or death. , 2006, Genome research.

[15]  Michael Y. Galperin,et al.  Algorithms for computing parsimonious evolutionary scenarios for genome evolution, the last universal common ancestor and dominance of horizontal gene transfer in the evolution of prokaryotes , 2003, BMC Evolutionary Biology.

[16]  J. Felsenstein Cases in which Parsimony or Compatibility Methods will be Positively Misleading , 1978 .

[17]  Joseph Felsenstein,et al.  PHYLOGENIES FROM RESTRICTION SITES: A MAXIMUM‐LIKELIHOOD APPROACH , 1992, Evolution; international journal of organic evolution.

[18]  R. Nielsen Mapping mutations on phylogenies. , 2002, Systematic biology.

[19]  Mark P. Simmons,et al.  Gaps as characters in sequence-based phylogenetic analyses. , 2000, Systematic biology.

[20]  Ziheng Yang Phylogenetic analysis using parsimony and likelihood methods , 1996, Journal of Molecular Evolution.

[21]  Tal Pupko,et al.  Inference and Characterization of Horizontally Transferred Gene Families Using Stochastic Mapping , 2009, Molecular biology and evolution.

[22]  Marc A Suchard,et al.  Counting labeled transitions in continuous-time Markov models of evolution , 2007, Journal of mathematical biology.

[23]  John P. Huelsenbeck,et al.  MrBayes 3: Bayesian phylogenetic inference under mixed models , 2003, Bioinform..

[24]  J. S. Rogers,et al.  Bias in phylogenetic estimation and its relevance to the choice between parsimony and likelihood methods. , 2001, Systematic biology.

[25]  Matthew Spencer,et al.  A phylogenetic mixture model for gene family loss in parasitic bacteria. , 2009, Molecular biology and evolution.