| Literature DB >> 29064480 |
Özge Eyice1,2, Nataliia Myronova1, Arjan Pol3, Ornella Carrión4, Jonathan D Todd4, Tom J Smith5, Stephen J Gurman6, Adam Cuthbertson1, Sophie Mazard1, Monique Ash Mennink-Kersten3, Timothy Dh Bugg7, Karl Kristoffer Andersson8, Andrew Wb Johnston4, Huub Jm Op den Camp3, Hendrik Schäfer1.
Abstract
Oxidation of methanethiol (MT) is a significant step in the sulfur cycle. MT is an intermediate of metabolism of globally significant organosulfur compounds including dimethylsulfoniopropionate (DMSP) and dimethylsulfide (DMS), which have key roles in marine carbon and sulfur cycling. In aerobic bacteria, MT is degraded by a MT oxidase (MTO). The enzymatic and genetic basis of MT oxidation have remained poorly characterized. Here, we identify for the first time the MTO enzyme and its encoding gene (mtoX) in the DMS-degrading bacterium Hyphomicrobium sp. VS. We show that MTO is a homotetrameric metalloenzyme that requires Cu for enzyme activity. MTO is predicted to be a soluble periplasmic enzyme and a member of a distinct clade of the Selenium-binding protein (SBP56) family for which no function has been reported. Genes orthologous to mtoX exist in many bacteria able to degrade DMS, other one-carbon compounds or DMSP, notably in the marine model organism Ruegeria pomeroyi DSS-3, a member of the Rhodobacteraceae family that is abundant in marine environments. Marker exchange mutagenesis of mtoX disrupted the ability of R. pomeroyi to metabolize MT confirming its function in this DMSP-degrading bacterium. In R. pomeroyi, transcription of mtoX was enhanced by DMSP, methylmercaptopropionate and MT. Rates of MT degradation increased after pre-incubation of the wild-type strain with MT. The detection of mtoX orthologs in diverse bacteria, environmental samples and its abundance in a range of metagenomic data sets point to this enzyme being widely distributed in the environment and having a key role in global sulfur cycling.Entities:
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Year: 2017 PMID: 29064480 PMCID: PMC5739008 DOI: 10.1038/ismej.2017.148
Source DB: PubMed Journal: ISME J ISSN: 1751-7362 Impact factor: 10.302
Figure 1Simplified schematic showing the role of MT as an intermediate in the metabolism of sulfur compounds. A single arrow does not imply a single biotransformation step. DMDS, dimethyldisulfide; DMSO, dimethylsulfoxide; DMSO2, dimethylsulfone; DOM, dissolved organic matter; HS−, sulfide ion; MTA, 5′-methylthioadenosine; SO32−, sulfite ion; S0, elemental sulfur; S2O32−, thiosulfate; S4O62−, tetrathionate; SO42−, sulfate.
Effect of chelators on the activity of Hyphomicrobium VS methanethiol oxidase
| MTO—no chelator | 12.9±1.5 |
| MTO—EDTA-treated | 5.7±1.1 |
| MTO—EGTA-treated | 12.5±0.9 |
Abbreviations: EGTA, ethylene glycol tetraacetic acid; MT, methanethiol; MTO, MT oxidase.
Figure 2Genomic context of mtoX genes in selected bacteria showing the clustering of mtoX with genes encoding proteins containing SCO1/SenC and/or MauG domains, see inset for definition of coloring and patterns to particular gene annotation. As discussed in the text, in some instances, genes are encoding fusion proteins of SCO1 and mauG domains. Further information about the presence of SCO1 and MauG domain encoding genes in the vicinity of mtoX genes is given in Supplementary Table S7.
MT consumption by whole cells and lysates of R. pomeroyi DSS-3 wild-type and mtoX− strains (n=3)
| Wild type | 23.4±1.2 |
| | 1.7±1.4 |
| Wild-type −MT | 39.2±14.4 |
| Wild-type +MT | 139.2±25.5 |
| | No MT degradation |
| | No MT degradation |
Abbreviation: MT, methanethiol.
MT consumption is expressed as nmol MT removed min−1 per mg protein.
Figure 3Transcriptional regulation of Ruegeria pomeroyi DSS-3 SPOA0268 and the methanethiol oxidase gene encoded by SPOA0269, assessed by beta galactosidase transcriptional fusion assay using various potential inducers. Values are reported in Miller units.
Figure 4Phylogenetic analysis of translated methanethiol oxidase genes obtained from public databases, selected bacterial isolates by PCR, clone libraries of enrichment cultures and DNA extracted from surface sediments of Stiffkey saltmarsh. The tree was based on an alignment of full length and partial MtoX sequences in Arb and was derived using the neighbor joining algorithm and PAM correction implemented in Arb from a region comprising amino acid positions 85–300 of the Hyphomicrobium VS MtoX polypeptide. Bootstrap values (100 iterations) were derived in Mega 5, only those supporting terminal nodes with a confidence of 75% or higher are shown. Taxa shown in bold tested positive for MT oxidation.
Analysis of metagenomic data sets for the presence of mtoX, dmdA and recA homologs
| Antarctica aquatic microbial metagenome | Antarctic lake | 64 626 265 | 230 | 533 | 504 | 45.6 | 106 | PRJNA33179 | |
| Botany bay metagenomes | Coastal marine pelagic | 15 538 531 | 95 | 551 | 511 | 18.6 | 108 | CAM_PROJ_BotanyBay | |
| Western channel observatory microbial metagenomic study | Coastal marine pelagic | 7 354 754 | 46 | 622 | 623 | 7.4 | 100 | CAM_PROJ_WesternChannelOMM | |
| Metagenomic analysis of the North Atlantic spring bloom | Marine pelagic | 6 784 781 | 8 | 268 | 510 | 1.6 | 53 | CAM_PROJ_BATS | |
| Microbial community genomics at the HOT/ALOHA | Marine pelagic | 5 687 251 | 10 | 524 | 534 | 1.9 | 98 | CAM_PROJ_HOT | |
| North Pacific metagenomes from Monterey Bay to Open ocean (CalCOFI line 67) | Marine pelagic | 5 618 147 | 7 | 4 | 117 | 6.0 | 3 | CAM_P_0000828 | |
| Monterey bay transect CN207 sampling sites | Coastal marine pelagic | 5 248 980 | 19 | 230 | 514 | 3.7 | 45 | CAM_P_0000719 | |
| Guaymas Basin deep-sea metagenome | Marine deep water | 4 970 673 | 56 | 69 | 340 | 16.5 | 20 | CAM_P_0000545 | |
| Marine metagenome from coastal waters project at Plymouth marine laboratory | Coastal marine pelagic | 1 444 540 | 3 | 79 | 172 | 1.7 | 46 | CAM_PROJ_PML | |
| Marine bacterioplankton metagenomes | Marine pelagic | 1 314 590 | 1 | 80 | 239 | 0.4 | 33 | CAM_PROJ_Bacterioplankton | |
| Sargasso sea bacterioplankton community | Marine pelagic | 606 285 | 11 | 21 | 91 | 12.1 | 23 | CAM_PROJ_SargassoSea | |
| Sapelo island bacterioplankton metagenome | Coastal marine pelagic | 354 908 | 9 | 14 | 30 | 30.0 | 47 | CAM_PROJ_SapeloIsland | |
| Washington lake metagenomes | Lacustrine | 252 427 | 4 | 12 | 75 | 5.3 | 16 | PRJNA30541 | |
| Two HOT fosmid end depth profiles (HOT179 and HOT186) | Marine pelagic | 194 593 | 2 | 20 | 54 | 3.7 | 37 | CAM_P_0000828 | |
| Waseca county farm soil Metagenome | Soil | 139 340 | 1 | 4 | 16 | 6.3 | 25 | CAM_PROJ_FarmSoil | |
| Hydrothermal vent Metagenome | Marine hydrothermal vent | 49 636 | 1 | 0 | 28 | 3.6 | 0 | CAM_PROJ_HydrothermalVent | |
Abbreviation: DMSP, dimethylsulfoniopropionate.
The distribution of hits against sampling sites (‘control’ or ‘DMSP’) in the Sargasso sea bacterioplankton study was as follows: mtoX 7 control, 4 DMSP; dmdA 4 control, 17 DMSP; recA 42 in control, 49 in DMSP.
Because of the very short reads in Sapelo Island bacterioplankton metagenome an e-value cutoff of 1e−05 was used. Hits at that level had a high pairwise similarity, for dmdA, there were shorter 100% identity hits with higher e-values than the cutoff used, which were therefore rejected by this approach suggesting this as a stringent cutoff value.
The dmdA hits in the Waseca county farm soil study had low maximum pairwise identities between 24 and 29% at the amino acid level.