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Insights into Ciliary Genes and Evolution from Multi-Level Phylogenetic Profiling.
Nevers, Yannis; Prasad, Megana K; Poidevin, Laetitia; Chennen, Kirsley; Allot, Alexis; Kress, Arnaud; Ripp, Raymond; Thompson, Julie D; Dollfus, Hélène; Poch, Olivier; Lecompte, Odile.
Afiliación
  • Nevers Y; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
  • Prasad MK; Laboratoire de Génétique Médicale, Institut de Génétique Médicale d'Alsace, INSERM U1112, Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
  • Poidevin L; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
  • Chennen K; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
  • Allot A; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
  • Kress A; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
  • Ripp R; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
  • Thompson JD; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
  • Dollfus H; Laboratoire de Génétique Médicale, Institut de Génétique Médicale d'Alsace, INSERM U1112, Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
  • Poch O; Centre de Référence pour les Affections Rares en Génétique Ophtalmologique, Service de Génétique Médicale, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
  • Lecompte O; Complex Systems and Translational Bioinformatics, ICube UMR 7357, Université de Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
Mol Biol Evol ; 34(8): 2016-2034, 2017 08 01.
Article en En | MEDLINE | ID: mdl-28460059
Cilia (flagella) are important eukaryotic organelles, present in the Last Eukaryotic Common Ancestor, and are involved in cell motility and integration of extracellular signals. Ciliary dysfunction causes a class of genetic diseases, known as ciliopathies, however current knowledge of the underlying mechanisms is still limited and a better characterization of genes is needed. As cilia have been lost independently several times during evolution and they are subject to important functional variation between species, ciliary genes can be investigated through comparative genomics. We performed phylogenetic profiling by predicting orthologs of human protein-coding genes in 100 eukaryotic species. The analysis integrated three independent methods to predict a consensus set of 274 ciliary genes, including 87 new promising candidates. A fine-grained analysis of the phylogenetic profiles allowed a partitioning of ciliary genes into modules with distinct evolutionary histories and ciliary functions (assembly, movement, centriole, etc.) and thus propagation of potential annotations to previously undocumented genes. The cilia/basal body localization was experimentally confirmed for five of these previously unannotated proteins (LRRC23, LRRC34, TEX9, WDR27, and BIVM), validating the relevance of our approach. Furthermore, our multi-level analysis sheds light on the core gene sets retained in gamete-only flagellates or Ecdysozoa for instance. By combining gene-centric and species-oriented analyses, this work reveals new ciliary and ciliopathy gene candidates and provides clues about the evolution of ciliary processes in the eukaryotic domain. Additionally, the positive and negative reference gene sets and the phylogenetic profile of human genes constructed during this study can be exploited in future work.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cilios / Ciliopatías Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2017 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cilios / Ciliopatías Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2017 Tipo del documento: Article País de afiliación: Francia