untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:25:40Z</responseDate>
<request identifier=oai:HAL:hal-01257771v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-01257771v1</identifier>
<datestamp>2018-01-11</datestamp>
<setSpec>type:ART</setSpec>
<setSpec>subject:sdv</setSpec>
<setSpec>collection:UPMC</setSpec>
<setSpec>collection:CNRS</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:UNICE</setSpec>
<setSpec>collection:EVOLUTION_PARIS_SEINE</setSpec>
<setSpec>collection:UPMC_POLE_4</setSpec>
<setSpec>collection:UCA-TEST</setSpec>
<setSpec>collection:IBPS</setSpec>
<setSpec>collection:EVOL_PARIS_SEINE-AIRE</setSpec>
<setSpec>collection:UNIV-COTEDAZUR</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Highly divergent ancient gene families in metagenomic samples are compatible with additional divisions of life</title>
<creator>Lopez, Philippe</creator>
<creator>Halary, Sébastien</creator>
<creator>Bapteste, Eric</creator>
<contributor>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)</contributor>
<description>International audience</description>
<source>ISSN: 1745-6150</source>
<source>Biology Direct</source>
<publisher>BioMed Central</publisher>
<identifier>hal-01257771</identifier>
<identifier>http://hal.upmc.fr/hal-01257771</identifier>
<identifier>http://hal.upmc.fr/hal-01257771/document</identifier>
<identifier>http://hal.upmc.fr/hal-01257771/file/s13062-015-0092-3.pdf</identifier>
<source>http://hal.upmc.fr/hal-01257771</source>
<source>Biology Direct, BioMed Central, 2015, 10, pp.64. 〈10.1186/s13062-015-0092-3〉</source>
<identifier>DOI : 10.1186/s13062-015-0092-3</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1186/s13062-015-0092-3</relation>
<language>en</language>
<subject lang=en>Environmental diversity</subject>
<subject lang=en>Networks</subject>
<subject lang=en>Metagenomics</subject>
<subject lang=en>Comparative analysis</subject>
<subject lang=en>Microbiology</subject>
<subject>[SDV.GEN] Life Sciences [q-bio]/Genetics</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Background: Microbial genetic diversity is often investigated via the comparison of relatively similar 16S molecules through multiple alignments between reference sequences and novel environmental samples using phylogenetic trees, direct BLAST matches, or phylotypes counts. However, are we missing novel lineages in the microbial dark universe by relying on standard phylogenetic and BLAST methods? If so, how can we probe that universe using alternative approaches? We performed a novel type of multi-marker analysis of genetic diversity exploiting the topology of inclusive sequence similarity networks. Results: Our protocol identified 86 ancient gene families, well distributed and rarely transferred across the 3 domains of life, and retrieved their environmental homologs among 10 million predicted ORFs from human gut samples and other metagenomic projects. Numerous highly divergent environmental homologs were observed in gut samples, although the most divergent genes were over-represented in non-gut environments. In our networks, most divergent environmental genes grouped exclusively with uncultured relatives, in maximal cliques. Sequences within these groups were under strong purifying selection and presented a range of genetic variation comparable to that of a prokaryotic domain. Conclusions: Many genes families included environmental homologs that were highly divergent from cultured homologs: in 79 gene families (including 18 ribosomal proteins), Bacteria and Archaea were less divergent than some groups of environmental sequences were to any cultured or viral homologs. Moreover, some groups of environmental homologs branched very deeply in phylogenetic trees of life, when they were not too divergent to be aligned. These results underline how limited our understanding of the most diverse elements of the microbial world remains, and encourage a deeper exploration of natural communities and their genetic resources, hinting at the possibility that still unknown yet major divisions of life have yet to be discovered. </description>
<rights>http://creativecommons.org/licenses/by/</rights>
<date>2015</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
