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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-17T12:07:39Z</responseDate> <request identifier=oai:HAL:hal-01544798v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01544798v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdv</setSpec> <setSpec>collection:EVOLUTION_PARIS_SEINE</setSpec> <setSpec>collection:UPMC</setSpec> <setSpec>collection:EVOL_PARIS_SEINE-AIRE</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:UNICE</setSpec> <setSpec>collection:SAE</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:UPMC_POLE_4</setSpec> <setSpec>collection:IBPS</setSpec> <setSpec>collection:UCA-TEST</setSpec> <setSpec>collection:UNIV-COTEDAZUR</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Gene similarity networks provide tools for understanding eukaryote origins and evolution</title> <creator>Alvarez-Ponce, David</creator> <creator>Lopez, Philippe</creator> <creator>Bapteste, Eric</creator> <creator>McInerney, James O.</creator> <contributor>Adaptation, Intégration, Réticulation et Evolution (AIRE) ; Systématique, adaptation, évolution (SAE) ; Université Pierre et Marie Curie - Paris 6 (UPMC) - Centre National de la Recherche Scientifique (CNRS) - Université Pierre et Marie Curie - Paris 6 (UPMC) - Centre National de la Recherche Scientifique (CNRS) - Evolution Paris Seine ; Université Nice Sophia Antipolis (UNS) ; Université Côte d'Azur (UCA) - Université Côte d'Azur (UCA) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Université Pierre et Marie Curie - Paris 6 (UPMC) - Université Nice Sophia Antipolis (UNS) ; Université Côte d'Azur (UCA) - Université Côte d'Azur (UCA) - Université des Antilles et de la Guyane (UAG)</contributor> <contributor>Science Foundation Ireland [09/RFP/EOB2510]</contributor> <contributor> Royal Irish Academy</contributor> <contributor> Egide</contributor> <contributor> Irish Research Council for Science, Engineering, and Technology</contributor> <description>International audience</description> <source>ISSN: 0027-8424</source> <source>EISSN: 1091-6490</source> <source>Proceedings of the National Academy of Sciences of the United States of America </source> <publisher>National Academy of Sciences</publisher> <identifier>hal-01544798</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01544798</identifier> <source>https://hal.archives-ouvertes.fr/hal-01544798</source> <source>Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2013, 110 (17), pp.E1594-E1603. 〈10.1073/pnas.1211371110〉</source> <identifier>DOI : 10.1073/pnas.1211371110</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.1211371110</relation> <language>en</language> <subject lang=en>mobile genetic elements</subject> <subject lang=en> cellular evolution</subject> <subject lang=en> network analysis</subject> <subject lang=en> organelles</subject> <subject lang=en> recombination</subject> <subject>[SDV.BID] Life Sciences [q-bio]/Biodiversity</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>The complexity and depth of the relationships between the three domains of life challenge the reliability of phylogenetic methods, encouraging the use of alternative analytical tools. We reconstructed a gene similarity network comprising the proteomes of 14 eukaryotes, 104 prokaryotes, 2,389 viruses and 1,044 plasmids. This network contains multiple signatures of the chimerical origin of Eukaryotes as a fusion of an archaebacterium and a eubacterium that could not have been observed using phylogenetic trees. A number of connected components (gene sets with stronger similarities than expected by chance) contain pairs of eukaryotic sequences exhibiting no direct detectable similarity. Instead, many eukaryotic sequences were indirectly connected through a ``eukaryote-archaebacterium-eubacterium-eukaryote'' similarity path. Furthermore, eukaryotic genes highly connected to prokaryotic genes from one domain tend not to be connected to genes from the other prokaryotic domain. Genes of archaebacterial and eubacterial ancestry tend to perform different functions and to act at different subcellular compartments, but in such an intertwined way that suggests an early rather than late integration of both gene repertoires. The archaebacterial repertoire has a similar size in all eukaryotic genomes whereas the number of eubacterium-derived genes is much more variable, suggesting a higher plasticity of this gene repertoire. Consequently, highly reduced eukaryotic genomes contain more genes of archaebacterial than eubacterial affinity. Connected componentswith prokaryotic and eukaryotic genes tend to include viral and plasmid genes, compatible with a role of gene mobility in the origin of Eukaryotes. Our analyses highlight the power of network approaches to study deep evolutionary events.</description> <date>2013-04</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>