| Literature DB >> 25978049 |
Ana C Henriques1, Paolo De Marco1.
Abstract
Quantitatively, methanesulfonate (MSA) is a very relevant compound in the global biogeochemical sulfur cycle. Its utilization by bacteria as a source of carbon and energy has been described and a specific enzyme, methanesulfonate monooxygenase (MSAMO), has been found to perform the first catabolic step of its oxidation. Other proteins seemingly involved in the import of MSA into bacterial cells have been reported. In this study, we obtained novel sequences of genes msmA and msmE from marine, estuary and soil MSA-degraders (encoding the large subunit of the MSAMO enzyme and the periplasmic component of the import system, respectively). We also obtained whole-genome sequences of two novel marine Filomicrobium strains, Y and W, and annotated two full msm operons in these genomes. Furthermore, msmA and msmE sequences were amplified from North Atlantic seawater and analyzed. Good conservation of the MsmA deduced protein sequence was observed in both cultured strains and metagenomic clones. A long spacer sequence in the Rieske-type [2Fe-2S] cluster-binding motif within MsmA was found to be conserved in all instances, supporting the hypothesis that this feature is specific to the large (α) subunit of the MSAMO enzyme. The msmE gene was more difficult to amplify, from both cultivated isolates and marine metagenomic DNA. However, 3 novel msmE sequences were obtained from isolated strains and one directly from seawater. With both genes, our results combined with previous metagenomic analyses seem to imply that moderate to high-GC strains are somehow favored during enrichment and isolation of MSA-utilizing bacteria, while the majority of msm genes obtained by cultivation-independent methods have low levels of GC%, which is a clear example of the misrepresentation of natural populations that culturing, more often than not, entails. Nevertheless, the data obtained in this work show that MSA-degrading bacteria are abundant in surface seawater, which suggests ecological relevance for this metabolic group of bacteria.Entities:
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Year: 2015 PMID: 25978049 PMCID: PMC4433239 DOI: 10.1371/journal.pone.0125735
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Open reading frames annotated on the 20,300 bp genome segment from Filomicrobium sp. str. Y.
| Hypothetical protein encoded | ORF location | Function |
|---|---|---|
|
| 1417–335 | Gene regulation |
|
| 1688–2449 | Sulfite export |
|
| 2462–3457 | Methylotrophic metabolism |
|
| 3640–4548 | C1-moiety transfer |
|
| 4903–6315 | Sulfite oxidation |
|
| 6389–6967 | Sulfite oxidation |
|
| 9711–7087 | ABC-transport system |
|
| 10447–9716 | ABC-transport system |
|
| 11624–10737 | ABC-transport system |
|
| 12540–11674 | MSA transport |
|
| 13449–12568 | MSA transport |
|
| 14372–13485 | MSA transport |
|
| 15705–14569 | MSA transport |
|
| 16483–17754 | MSA metabolism |
|
| 17941–18432 | MSA metabolism |
|
| 18546–18923 | MSA metabolism |
|
| 19010–20056 | MSA metabolism |
Genes not shown in map of Fig 1.
Fig 1Graphic alignment of the msm operons from Me. methylovora strain M2, Ma. methylotropha strain TR3, Sargasso Sea clone EF103447 and Filomicrobium strain Y.
The arrows represent msm genes: A, msmA; B, msmB; C, msmC; D, msmD; E, msmE; F, msmF; G, msmG; H, msmH. Blue arrows represent genes encoding MSA-monooxygenase and light brown ones correspond to MSA transport genes. orfX and orfY enconde putative regulators of the msm operons [24]. A complete description of all genes on the Filomicrobium fragment is provided in Table 1.
Fig 2Phylogenetic tree of the MsmA sequences.
Novel sequences are in boldface. Marine metagenomic sequences are in blue. Only sequences containing the 26 amino acid spacer in the conserved Rieske-associated motif (CXH-X26-CXXH) were considered for the analysis. A maximum likelihood method (PhyML) was used for tree inference. Bootstrap values at nodes are for 100 iterations; only values > 50 are shown.
Fig 3Phylogenetic tree of the MsmE sequences.
Novel sequences are in boldface. Marine metagenomic sequences are in blue. A maximum likelihood method (PhyML) was used for tree inference. Bootstrap values at nodes are for 100 iterations; only values > 50 are shown.