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There is ample evidence that methane (CH4) emissions from natural wetlands exhibit large spatial variations at a field scale. However, little is known about the metabolically active methanogens mediating these differences. We explored the spatial patterns in active methanogens of summer inundated Calamagrostis angustifolia marsh with low CH4 emissions and permanently inundated Carex lasiocarpa marsh with high CH4 emissions in Sanjiang Plain, China. In C. angustifolia marsh, the addition of (13)C-acetate significantly increased the CH4 production rate, and Methanosarcinaceae methanogens were found to participate in the consumption of acetate. In C. lasiocarpa marsh, there was no apparent increase in the CH4 production rate and no methanogen species were labeled with (13)C. When (13)CO2-H2 was added, however, CH4 production was found to be due to Fen Cluster (Methanomicrobiales) in C. angustifolia marsh and Methanobacterium Cluster B (Methanobacteriaceae) together with Fen Cluster in C. lasiocarpa marsh. These results suggested that CH4 was produced primarily by hydrogenotrophic methanogens using substrates mainly derived from plant litter in C. lasiocarpa marsh and by both hydrogenotrophic and acetoclastic methanogens using substrates mainly derived from root exudate in C. angustifolia marsh. The significantly lower CH4 emissions measured in situ in C. angustifolia marsh was primarily due to a deficiency of substrates compared to C. lasiocarpa marsh. Therefore, we speculate that the substrate source regulates both the type of active methanogens and the CH4 production pathway and consequently contributes to the spatial variations in CH4 productions observed in these freshwater marshes.

Two pairs of PCR primes ANMEallF/R and ANME23F/R were designed by Codehop method based on sequences available to retrieve more anaerobic methanotrophic (ANME) archaea mcrA gene sequences and ANME 2 and 3 subtypes from reedbed in two seasons. Overall, the PCR primers showed slightly favor for ANME group mcrA gene sequences. Due to the predominance of methanogens mainly affiliated to Methanomicrobiales in the samples, a large portion of mcrA gene sequences amplified in the clone libraries belonged to methanogens. Differences in PCR primers and performance affected the mcrA gene-PCR-amplified community composition to a minor extent. PCR primers targeting ANME mcrA group g-h were designed to apply real-time PCR for quantifying more groups of mcrA gene-affiliated ANME archaea and tested with these same samples, and the most abundant group in the whole ANME mcrA community was ANME group g-h. In addition, a stable mcrA gene-harboring archaeal community pattern was detected in the reedbed sediment samples collected from two distinctively different seasons. The PCR and qPCR primers designed in this study can expand our knowledge on the distribution of ANME mcrA genes and community composition in the ecosystem to better understand the carbon cycle.

Household anaerobic digesters have been installed across rural China for biogas production, but information on methanogen community structure in these small biogas units is sparsely available. By creating clone libraries for 16S rRNA and methyl coenzyme M reductase alpha subunit (mcrA) genes, we investigated the methanogenic consortia in a household biogas digester treating swine manure. Operational taxonomic units (OTUs) were defined by comparative sequence analysis, seven OTUs were identified in the 16S rRNA gene library, and ten OTUs were identified in the mcrA gene library. Both libraries were dominated by clones highly related to the type strain Methanocorpusculum labreanum Z, 64.0 % for 16S rRNA gene clones and 64.3 % for mcrA gene clones. Additionally, gas chromatography assays showed that formic acid was 84.54 % of the total volatile fatty acids and methane was 57.20 % of the biogas composition. Our results may help further isolation and characterization of methanogenic starter strains for industrial biogas production.

This study was conducted to analyze the methanogen population in a corrosive marine biofilm based on 16S rDNA analysis, using a PCR-cloning-sequencing approach. There were 80 methanogen clones developed from the PCR-amplified DNA extracted from the biofilm on the mild steel surface. All clones were categorized into one of five operational taxonomy units (OTUs). Two OTUs (comprising 57 clones) were affiliated with the acetotrophic Methanosaeta genus; the remaining three OTUs (23 clones) were affiliated with the hydrogenotrophic genera of Methanogenium, Methanoplanus and Methanocalculus. The hydrogenotrophic methanogens could directly cause metal corrosion through cathodic depolarization, whereas the acetotrophic methanogens grew syntrophically with corrosion-causing sulfate-reducing bacteria, as observed by fluorescent in situ hybridization, and thus contribute indirectly to metal corrosion.