| Literature DB >> 19495416 |
Iain Anderson1, Luke E Ulrich, Boguslaw Lupa, Dwi Susanti, Iris Porat, Sean D Hooper, Athanasios Lykidis, Magdalena Sieprawska-Lupa, Lakshmi Dharmarajan, Eugene Goltsman, Alla Lapidus, Elizabeth Saunders, Cliff Han, Miriam Land, Susan Lucas, Biswarup Mukhopadhyay, William B Whitman, Carl Woese, James Bristow, Nikos Kyrpides.
Abstract
BACKGROUND: Methanomicrobiales is the least studied order of methanogens. While these organisms appear to be more closely related to the Methanosarcinales in ribosomal-based phylogenetic analyses, they are metabolically more similar to Class I methanogens. METHODOLOGY/PRINCIPALEntities:
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Year: 2009 PMID: 19495416 PMCID: PMC2686161 DOI: 10.1371/journal.pone.0005797
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
General genome statistics.
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| Genome size (bp) | 1,804,962 | 2,478,101 | 3,544,738 |
| G+C content (bp) | 902,600 (50.0%) | 1,537,981 (62.1%) | 1,600,415 (45.1%) |
| Number of genes | 1828 | 2559 | 3305 |
| RNA genes | 63 (3.4%) | 53 (2.1%) | 66 (2.0%) |
| Protein-coding genes | 1765 (96.6%) | 2506 (97.9%) | 3239 (98.0%) |
| Pseudogenes | 26 (1.4%) | 17 (0.7%) | 99 (3.0%) |
| Genes in ortholog clusters | 1676 (91.7%) | 2294 (89.6%) | 3031 (91.7%) |
| Genes assigned to COGs | 1358 (74.3%) | 1832 (71.6%) | 2314 (70.0%) |
| Genes assigned to Pfam domains | 1335 (73.0%) | 1790 (69.9%) | 2326 (70.4%) |
| Genes with signal peptides | 406 (22.2%) | 620 (24.2%) | 771 (23.3%) |
| Genes with transmembrane helices | 368 (20.1%) | 595 (23.3%) | 762 (23.1%) |
| Fusion genes | 73 (4.0%) | 104 (4.1%) | 171 (5.2%) |
| Transposable elements | 0 | 3 | 76 |
| CRISPR-associated genes | 8 | 1 | 21 |
| CRISPR repeat arrays | 1 | 0 | 6 |
Hydrogenases in methanogen genomes.
| Frh | Mvh | Eha | Ehb | Ech | Mbh | |
| Class I methanogens | All | All | all except Msp | all except Mka | ||
| Methanosarcinales | Mac, Mba, Mmz | Mba, Mmz | ||||
| Methanomicrobiales | All | Mmar | All | All | Mlab, Mhun |
Frh: F420-reducing hydrogenase; Mvh: F420-non-reducing hydrogenase; Eha: energy-converting hydrogenase A; Ehb: energy-converting hydrogenase B; Ech: energy-converting hydrogenase; Mbh: membrane-bound hydrogenase; Msp: Methanosphaera stadtmanae; Mka: Methanopyrus kandleri; Mac: Methanosarcina acetivorans; Mba: Methanosarcina barkeri; Mmz: Methanosarcina mazei; Mmar: Methanoculleus marisnigri; Mlab: Methanocorpusculum labreanum; Mhun: Methanospirillum hungatei.
Figure 1Proposed pathway for methanogenesis in Methanomicrobiales.
Methanomicrobiales are predicted to couple formylmethanofuran formation and CoM-CoB heterodisulfide reduction to ion gradients. Fd: ferredoxin; MF: methanofuran; H4MPT: tetrahydromethanopterin.
Figure 2Alternate pathways for synthesis of 2-oxoglutarate from oxaloacetate.
Class I methanogens and Methanomicrobiales use a partial reductive citric acid cycle while Methanosarcinales use a partial oxidative citric acid cycle.
Figure 3Phylogenetic tree of methanogens based on seven core enzymes of methanogenesis and cofactor biosynthesis.
See Materials and Methods for a list of the proteins and organisms included. Protein sequences were concatenated and aligned with Clustal W. The tree was generated with MrBayes 3.1.2 and viewed with TreeView.
Figure 4Venn diagram of signature clusters.
The clusters were generated using a spectral clustering procedure (see Materials and Methods section for details). Signature protein clusters were identified as clusters for which a member protein was present in every analyzed species from one or more classes of methanogens. The number of exclusive, shared, and common signature clusters associated with each methanogen class are shown. The functions of characterized proteins belonging to exclusive signature clusters and to clusters shared between the Methanomicrobiales and the Methanosarcinales are also noted.