(Below N is a link to NCBI taxonomic web page and E link to ESTHER at designed phylum.) > cellular organisms: NE > Bacteria: NE > unclassified Bacteria: NE > unclassified Bacteria (miscellaneous): NE > bacterium: NE
LegendThis sequence has been compared to family alignement (MSA) red => minority aminoacid blue => majority aminoacid color intensity => conservation rate title => sequence position(MSA position)aminoacid rate Catalytic site Catalytic site in the MSA MMIRKAVVLLFLFVYAAFSQDDELLKKLKALPDVAEVTPIKADSMFKAGY ELRIRQPLDHAVPGGKKFLQSVYVAHISYDRPVLFETEGYSASARSGGHA RELTGILKSNQIVVEHRFFGKSCPDSLEWRYLTTKQAADDHHHITRLLKN IYKGKWVSSGTSKGGQTTLFYRYYYPQDVDASVPYVAPVNLSQEDPRIIT WLRTVGTPEEREKIRNFQIAMLKREKEILPLMDTLAAGRKMTFSIGTATA YEYSVLEYPCAFWQYGSLTSSIPSLDVPADSMLRHLDKVASLRYYSDQGI KAFHPFQYQAYTEIGYYGYDITDFKGLLTAVTNPTNVILAPQNVELKFNP ATMYNIYTWLRDNGSNIIYIYGEKDLWSATAMELSGKTNSIKMVHKGGCH RARIRDLSPEQKATISSALQQWLNLPSSELTMVPSPAR
BACKGROUND: Microorganisms drive high rates of methanogenesis and carbon mineralization in wetland ecosystems. These signals are especially pronounced in the Prairie Pothole Region of North America, the tenth largest wetland ecosystem in the world. Sulfate reduction rates up to 22 mumol cm(-3) day(-1) have been measured in these wetland sediments, as well as methane fluxes up to 160 mg m(-2) h(-1)-some of the highest emissions ever measured in North American wetlands. While pore waters from PPR wetlands are characterized by high concentrations of sulfur species and dissolved organic carbon, the constraints on microbial activity are poorly understood. Here, we utilized metagenomics to investigate candidate sulfate reducers and methanogens in this ecosystem and identify metabolic and viral controls on microbial activity. RESULTS: We recovered 162 dsrA and 206 dsrD sequences from 18 sediment metagenomes and reconstructed 24 candidate sulfate reducer genomes assigned to seven phyla. These genomes encoded the potential for utilizing a wide variety of electron donors, such as methanol and other alcohols, methylamines, and glycine betaine. We also identified 37 mcrA sequences spanning five orders and recovered two putative methanogen genomes representing the most abundant taxa-Methanosaeta and Methanoregulaceae. However, given the abundance of Methanofollis-affiliated mcrA sequences, the detection of F420-dependent alcohol dehydrogenases, and millimolar concentrations of ethanol and 2-propanol in sediment pore fluids, we hypothesize that these alcohols may drive a significant fraction of methanogenesis in this ecosystem. Finally, extensive viral novelty was detected, with approximately 80% of viral populations being unclassified at any known taxonomic levels and absent from publicly available databases. Many of these viral populations were predicted to target dominant sulfate reducers and methanogens. CONCLUSIONS: Our results indicate that diversity is likely key to extremely high rates of methanogenesis and sulfate reduction observed in these wetlands. The inferred genomic diversity and metabolic versatility could result from dynamic environmental conditions, viral infections, and niche differentiation in the heterogeneous sediment matrix. These processes likely play an important role in modulating carbon and sulfur cycling in this ecosystem.
