Soil microbial community characterization is increasingly being used to determine the responses of soils to stress and disturbances and to assess ecosystem sustainability. However, there is little experimental evidence to indicate that predictable patterns in microbial community structure or composition occur during secondary succession or ecosystem restoration. This study utilized a chronosequence of developing jarrah (Eucalyptus marginata) forest ecosystems, rehabilitated after bauxite mining (up to 18 years old), to examine changes in soil bacterial and fungal community structures (by automated ribosomal intergenic spacer analysis [ARISA]) and changes in specific soil bacterial phyla by 16S rRNA gene microarray analysis. This study demonstrated that mining in these ecosystems significantly altered soil bacterial and fungal community structures. The hypothesis that the soil microbial community structures would become more similar to those of the surrounding nonmined forest with rehabilitation age was broadly supported by shifts in the bacterial but not the fungal community. Microarray analysis enabled the identification of clear successional trends in the bacterial community at the phylum level and supported the finding of an increase in similarity to nonmined forest soil with rehabilitation age. Changes in soil microbial community structure were significantly related to the size of the microbial biomass as well as numerous edaphic variables (including pH and C, N, and P nutrient concentrations). These findings suggest that soil bacterial community dynamics follow a pattern in developing ecosystems that may be predictable and can be conceptualized as providing an integrated assessment of numerous edaphic variables.
This biogeochemical, molecular genetic and lipid biomarker study of sediments ( approximately 4 m cores) from the Skagerrak (Denmark) investigated methane cycling in a sediment with a clear sulfate-methane-transition zone (SMTZ) and where CH(4) supply was by diffusion, rather than by advection, as in more commonly studied seep sites. Sulfate reduction removed sulfate by 0.7 m and CH(4) accumulated below. (14)C-radiotracer measurements demonstrated active H(2)/CO(2) and acetate methanogenesis and anaerobic oxidation of CH(4) (AOM). Maximum AOM rates occurred near the SMTZ ( approximately 3 nmol cm(-3) day(-1) at 0.75 m) but also continued deeper, overall, at much lower rates. Maximum rates of H(2)/CO(2) and acetate methanogenesis occurred below the SMTZ but H(2)/CO(2) methanogenesis rates were x 10 those of acetate methanogenesis, and this was consistent with initial values of (13)C-depleted CH(4) (delta(13)C c.-80 per thousand). Areal AOM and methanogenic rates were similar ( approximately 1.7 mmol m(-2) day(-1)), hence, CH(4) flux is finely balanced. A 16S rRNA gene library from 1.39 m combined with methanogen (T-RFLP), bacterial (16S rRNA DGGE) and lipid biomarker depth profiles showed the presence of populations similar to some seep sites: ANME-2a (dominant), ANME-3, Methanomicrobiales, Methanosaeta Archaea, with abundance changes with depth corresponding to changes in activities and sulfate-reducing bacteria (SRB). Below the SMTZ to approximately 1.7 m CH(4) became progressively more (13)C depleted (delta(13)C -82 per thousand) indicating a zone of CH(4) recycling which was consistent with the presence of (13)C-depleted archaeol (delta(13)C -55 per thousand). Pore water acetate concentrations decreased in this zone (to approximately 5 microM), suggesting that H(2), not acetate, was an important CH(4) cycling intermediate. The potential biomarkers for AOM-associated SRB, non-isoprenoidal ether lipids, increased below the SMTZ but this distribution reflected 16S rRNA gene sequences for JS1 and OP8 bacteria rather than those of SRB. At this site peak rates of methane production and consumption are spatially separated and seem to be conducted by different archaeal groups. Also AOM is predominantly coupled to sulfate reduction, unlike recent reports from some seep and gassy sediment sites.
The methanogen community in sediment from the edge of a small brackish lake connected to the Beaulieu Estuary (Hampshire, UK) was investigated by analysis of 16S rRNA gene diversity using new methanogen-specific primers plus Archaea-specific primers. 16S rRNA gene primers previously used for polymerase chain reaction (PCR) detection of methanogenic Archaea from a variety of environments were evaluated by in silico testing. The primers displayed variable coverage of the four main orders of methanogens, highlighting the importance of this type of primer evaluation. Three PCR primer sets were designed using novel reverse primers to facilitate specific amplification of the orders Methanomicrobiales/Methanosarcinales, Methanobacteriales and Methanococcales. Diversity of the methanogen functional gene, methyl coenzyme M reductase (mcrA), was also studied. All gene libraries constructed from this sediment indicated that Methanomicrobiales and Methanosarcinales were the only methanogens detected. There was good agreement between the relative sequence abundances in the methanogen-specific 16S rRNA gene library and terminal restriction fragment length polymorphism (T-RFLP) profiling, suggesting that the population was dominated by putative H2 CO2 utilizing Methanomicrobiales, although acetate-utilizing methanogens were also present. The methanogen population analyses were in agreement with methanogenic activity measurements, which indicated that bicarbonate methanogenesis was higher than acetate methanogenesis at all depths measured and overall there was a significant difference (P = 0.001) between the rates of the two pathways. This study demonstrates the utility of new 16S rRNA gene PCR primers targeting specific methanogenic orders, and the combined results suggest that the CO2 reduction pathway dominates methanogenesis in the brackish sediment investigated.
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