Comparative genomics highlights the unique biology of Methanomassiliicoccales, a Thermoplasmatales-related seventh order of methanogenic archaea that encodes pyrrolysine View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Guillaume Borrel, Nicolas Parisot, Hugh MB Harris, Eric Peyretaillade, Nadia Gaci, William Tottey, Olivier Bardot, Kasie Raymann, Simonetta Gribaldo, Pierre Peyret, Paul W O’Toole, Jean-François Brugère

ABSTRACT

BACKGROUND: A seventh order of methanogens, the Methanomassiliicoccales, has been identified in diverse anaerobic environments including the gastrointestinal tracts (GIT) of humans and other animals and may contribute significantly to methane emission and global warming. Methanomassiliicoccales are phylogenetically distant from all other orders of methanogens and belong to a large evolutionary branch composed by lineages of non-methanogenic archaea such as Thermoplasmatales, the Deep Hydrothermal Vent Euryarchaeota-2 (DHVE-2, Aciduliprofundum boonei) and the Marine Group-II (MG-II). To better understand this new order and its relationship to other archaea, we manually curated and extensively compared the genome sequences of three Methanomassiliicoccales representatives derived from human GIT microbiota, "Candidatus Methanomethylophilus alvus", "Candidatus Methanomassiliicoccus intestinalis" and Methanomassiliicoccus luminyensis. RESULTS: Comparative analyses revealed atypical features, such as the scattering of the ribosomal RNA genes in the genome and the absence of eukaryotic-like histone gene otherwise present in most of Euryarchaeota genomes. Previously identified in Thermoplasmatales genomes, these features are presently extended to several completely sequenced genomes of this large evolutionary branch, including MG-II and DHVE2. The three Methanomassiliicoccales genomes share a unique composition of genes involved in energy conservation suggesting an original combination of two main energy conservation processes previously described in other methanogens. They also display substantial differences with each other, such as their codon usage, the nature and origin of their CRISPRs systems and the genes possibly involved in particular environmental adaptations. The genome of M. luminyensis encodes several features to thrive in soil and sediment conditions suggesting its larger environmental distribution than GIT. Conversely, "Ca. M. alvus" and "Ca. M. intestinalis" do not present these features and could be more restricted and specialized on GIT. Prediction of the amber codon usage, either as a termination signal of translation or coding for pyrrolysine revealed contrasted patterns among the three genomes and suggests a different handling of the Pyl-encoding capacity. CONCLUSIONS: This study represents the first insights into the genomic organization and metabolic traits of the seventh order of methanogens. It suggests contrasted evolutionary history among the three analyzed Methanomassiliicoccales representatives and provides information on conserved characteristics among the overall methanogens and among Thermoplasmata. More... »

PAGES

679

References to SciGraph publications

  • 2000-09. Genome sequence of the endocellular bacterial symbiont of aphids Buchnera sp. APS in NATURE
  • 2012-12. Comparison of methanogen diversity of yak (Bos grunniens) and cattle (Bos taurus) from the Qinghai-Tibetan plateau, China in BMC MICROBIOLOGY
  • 2006. Physiology and Biochemistry of the Methane-Producing Archaea in THE PROKARYOTES
  • 2011-12. Purine biosynthesis in archaea: variations on a theme in BIOLOGY DIRECT
  • 2013-08. Ribosomal Intergenic Spacer Analysis as a Tool for Monitoring Methanogenic Archaea Changes in an Anaerobic Digester in CURRENT MICROBIOLOGY
  • 2007-12. Clusters of orthologous genes for 41 archaeal genomes and implications for evolutionary genomics of archaea in BIOLOGY DIRECT
  • 2011-06. Evolution and classification of the CRISPR–Cas systems in NATURE REVIEWS MICROBIOLOGY
  • 2008-03. CRISPR — a widespread system that provides acquired resistance against phages in bacteria and archaea in NATURE REVIEWS MICROBIOLOGY
  • 2013-12. Methylotrophic methanogenic Thermoplasmata implicated in reduced methane emissions from bovine rumen in NATURE COMMUNICATIONS
  • 2006-11. Viruses of the Archaea: a unifying view in NATURE REVIEWS MICROBIOLOGY
  • 2008-08. Methanogenic archaea: ecologically relevant differences in energy conservation in NATURE REVIEWS MICROBIOLOGY
  • 2011-05-12. Enterotypes of the human gut microbiome in NATURE
  • 2008-12. The RAST Server: Rapid Annotations using Subsystems Technology in BMC GENOMICS
  • 2013-04-07. Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis in NATURE MEDICINE
  • 2005-02. Accelerated evolution associated with genome reduction in a free-living prokaryote in GENOME BIOLOGY
  • 2009-10-30. Translation of UAG as Pyrrolysine in RECODING: EXPANSION OF DECODING RULES ENRICHES GENE EXPRESSION
  • 2011-04. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease in NATURE
  • 2010-12. Hidden Markov model speed heuristic and iterative HMM search procedure in BMC BIOINFORMATICS
  • 2012-12. Distribution of nitrogen fixation and nitrogenase-like sequences amongst microbial genomes in BMC GENOMICS
  • 2010-12. BMGE (Block Mapping and Gathering with Entropy): a new software for selection of phylogenetic informative regions from multiple sequence alignments in BMC EVOLUTIONARY BIOLOGY
  • 2011-06. The Evolution of Respiratory Chain Complex I from a Smaller Last Common Ancestor Consisting of 11 Protein Subunits in JOURNAL OF MOLECULAR EVOLUTION
  • 2007-05. Dominance of Prevotella and low abundance of classical ruminal bacterial species in the bovine rumen revealed by relative quantification real-time PCR in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2009-12. TransportTP: A two-phase classification approach for membrane transporter prediction and characterization in BMC BIOINFORMATICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2164-15-679

    DOI

    http://dx.doi.org/10.1186/1471-2164-15-679

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1022820796

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25124552


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