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1.
Bioinformatics ; 33(21): 3331-3339, 2017 Nov 01.
Article in English | MEDLINE | ID: mdl-28655158

ABSTRACT

MOTIVATION: Codon reassignments have been reported across all domains of life. With the increasing number of sequenced genomes, the development of systematic approaches for genetic code detection is essential for accurate downstream analyses. Three automated prediction tools exist so far: FACIL, GenDecoder and Bagheera; the last two respectively restricted to metazoan mitochondrial genomes and CUG reassignments in yeast nuclear genomes. These tools can only analyze a single genome at a time and are often not followed by a validation procedure, resulting in a high rate of false positives. RESULTS: We present CoreTracker, a new algorithm for the inference of sense-to-sense codon reassignments. CoreTracker identifies potential codon reassignments in a set of related genomes, then uses statistical evaluations and a random forest classifier to predict those that are the most likely to be correct. Predicted reassignments are then validated through a phylogeny-aware step that evaluates the impact of the new genetic code on the protein alignment. Handling simultaneously a set of genomes in a phylogenetic framework, allows tracing back the evolution of each reassignment, which provides information on its underlying mechanism. Applied to metazoan and yeast genomes, CoreTracker significantly outperforms existing methods on both precision and sensitivity. AVAILABILITY AND IMPLEMENTATION: CoreTracker is written in Python and available at https://github.com/UdeM-LBIT/CoreTracker. CONTACT: mabrouk@iro.umontreal.ca. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Subject(s)
Cell Nucleus/genetics , Codon , Genome, Mitochondrial , Genomics/methods , Sequence Analysis, DNA/methods , Software , Animals , Genetic Code , Genome, Fungal , Phylogeny , Yeasts/genetics
2.
Proc Natl Acad Sci U S A ; 107(22): 10142-7, 2010 Jun 01.
Article in English | MEDLINE | ID: mdl-20479219

ABSTRACT

The evolution of animals (metazoans) from their unicellular ancestors required the emergence of novel mechanisms for cell adhesion and cell-cell communication. One of the most important cell adhesion mechanisms for metazoan development is integrin-mediated adhesion and signaling. The integrin adhesion complex mediates critical interactions between cells and the extracellular matrix, modulating several aspects of cell physiology. To date this machinery has been considered strictly metazoan specific. Here we report the results of a comparative genomic analysis of the integrin adhesion machinery, using genomic data from several unicellular relatives of Metazoa and Fungi. Unexpectedly, we found that core components of the integrin adhesion complex are encoded in the genome of the apusozoan protist Amastigomonas sp., and therefore their origins predate the divergence of Opisthokonta, the clade that includes metazoans and fungi. Furthermore, our analyses suggest that key components of this apparatus have been lost independently in fungi and choanoflagellates. Our data highlight the fact that many of the key genes that had formerly been cited as crucial for metazoan origins have a much earlier origin. This underscores the importance of gene cooption in the unicellular-to-multicellular transition that led to the emergence of the Metazoa.


Subject(s)
Cell Adhesion/genetics , Cell Adhesion/physiology , Evolution, Molecular , Integrins/genetics , Integrins/physiology , Amino Acid Sequence , Animals , CSK Tyrosine-Protein Kinase , Cell Communication/genetics , Cell Communication/physiology , Choanoflagellata/genetics , Choanoflagellata/physiology , Cyanobacteria/genetics , Cyanobacteria/physiology , Focal Adhesion Protein-Tyrosine Kinases/genetics , Fungi/genetics , Fungi/physiology , Gene Transfer, Horizontal , Integrins/chemistry , Molecular Sequence Data , Phylogeny , Protein-Tyrosine Kinases/genetics , Sequence Homology, Amino Acid , Signal Transduction/genetics , Signal Transduction/physiology , src-Family Kinases
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