Distinctive Patterns of Methanogenic Flora Determined with Antibody Probes in Anaerobic Digestors of Different Characteristics Operated Under Controlled Conditions

Molecular biology of stress genes in methanogens: potential for bioreactor technology

Many agents of physical, chemical, or biological nature, have the potential for causing cell stress. These agents are called stressors and their effects on cells are due to protein denaturation. Cells, microbes, for instance, perform their physiological functions and survive stress only if they have their proteins in the necessary concentrations and shapes. To be functional a protein shape must conform to a specific three-dimensional arrangement, named the native configuration. When a stressor (e.g., temperature elevation or heat shock, decrease in pH, hypersalinity, heavy metals) hits a microbe, it causes proteins to lose their native configuration, which is to say that stressors cause protein denaturation. The cell mounts an anti-stress response: house-keeping genes are down-regulated and stress genes are activated. Among the latter are the genes that produce the Hsp70(DnaK), Hsp60, and small heat protein (sHsp) families of stress proteins. Hsp70(DnaK) is part of the molecular chaperone machine together with Hsp40(DnaJ) and GrpE, and Hsp60 is a component of the chaperonin complex. Both the chaperone machine and the chaperonins play a crucial role in assisting microbial proteins to reach their native, functional configuration and to regain it when it is partially lost due to stress. Proteins that are denatured beyond repair are degraded by proteases so they do not accumulate and become a burden to the cell. All Archaea studied to date possess chaperonins but only some methanogens have the chaperone machine. A recent genome survey indicates that Archaea do not harbor well conserved equivalents of the co-chaperones trigger factor, Hip, Hop, BAG-1, and NAC, although the data suggest that Archaea have proteins related to Hop and to the NAC alpha subunit whose functions remain to be elucidated. Other anti-stress means involve osmolytes, ion traffic, and formation of multicellular structures. All cellular anti-stress mechanisms depend on genes whose products are directly involved in counteracting the effects of stressors, or are regulators. The latter proteins monitor and modulate gene activity. Biomethanation depends on the concerted action of at least three groups of microbes, the methanogens being one of them. Their anti-stress mechanisms are briefly discussed in this Chapter from the standpoint of their role in biomethanation with emphasis on their potential for optimizing bioreactor performance. Bioreactors usually contain stressors that come with the influent, or are produced during the digestion process. If the stressors reach levels above those that can be dealt with by the anti-stress mechanisms of the microbes in the bioreactor, the microbes will die or at least cease to function. The bioreactor will malfunction and crash. Manipulation of genes involved in the anti-stress response, particularly those pertinent to the synthesis and regulation of the Hsp70(DnaK) and Hsp60 molecular machines, is a promising avenue for improving the capacity of microbes to withstand stress, and thus to continue biomethanation even when the bioreactor is loaded with harsh waste. The engineering of methanogenic consortia with stress-resistant microbes, made on demand for efficient bioprocessing of stressor-containing effluents and wastes, is a tangible possibility for the near future. This promising biotechnological development will soon become a reality due to the advances in the study of the stress response and anti-stress mechanisms at the molecular and genetic levels.

Molecular biology of S-layers

In this chapter we report on the molecular biology of crystalline surface layers of different bacterial groups. The limited information indicates that there are many variations on a common theme. Sequence variety, antigenic diversity, gene expression, rearrangements, influence of environmental factors and applied aspects are addressed. There is considerable variety in the S-layer composition, which was elucidated by sequence analysis of the corresponding genes. In Corynebacterium glutamicum one major cell wall protein is responsible for the formation of a highly ordered, hexagonal array. In contrast, two abundant surface proteins from the S-layer of Bacillus anthracis. Each protein possesses three S-layer homology motifs and one protein could be a virulence factor. The antigenic diversity and ABC transporters are important features, which have been studied in methanogenic archaea. The expression of the S-layer components is controlled by three genes in the case of Thermus thermophilus. One has repressor activity on the S-layer gene promoter, the second codes for the S-layer protein. The rearrangement by reciprocal recombination was investigated in Campylobacter fetus. 7-8 S-layer proteins with a high degree of homology at the 5' and 3' ends were found. Environmental changes influence the surface properties of Bacillus stearothermophilus. Depending on oxygen supply, this species produces different S-layer proteins. Finally, the molecular bases for some applications are discussed. Recombinant S-layer fusion proteins have been designed for biotechnology.

An enzyme-linked immunosorbent assay (ELISA) for detection of Clostridium aldrichii in anaerobiodigesters

Monoclonal antibodies (Mabs) against Clostridium aldrichii were prepared by in vivo and in vitro immunization with whole cells and produced after fusion as ascites in BALB/c mice. An enzyme-linked immunosorbent assay (ELISA) was used to test for specificity and sensitivity of the Mabs to detect Cl. aldrichii. The lower limit for Cl. aldrichii detection in pure and mixed culture with ELISA was 10(5) cells ml-1. Twenty other species of bacteria, including 12 cellulolytic species, were tested for cross-reactivity with the ELISA, but none was detected. The ELISA was used for detection of Cl. aldrichii over a 16-month period in five mesophilic continuously-stirred tank reactors (CSTR) with wood, glucose, sludge or sorghum as substrates. The population of Cl. aldrichii in the poplar wood anaerobic digester effluent was 10(6)-10(7) cells ml-1 over that time. These numbers were confirmed by anaerobic microbiological methods. Results from the ELISA technique were obtained in 36 h vs 3 weeks for culture methods. It is concluded that the ELISA is a useful, time-saving method for identification, detection and quantification of Cl. aldrichii in axenic, mixed culture, and in complex undefined cultures such as those found in anaerobic digesters.

Examination of Bacterial Characteristics of Anaerobic Membrane Bioreactors in Three Pilot-Scale Plants for Treating Low-Strength Wastewater by Application of the Colony-Forming-Curve Analysis Method

Characteristic sludge ecosystems arising in anaerobic membrane bioreactors of three pilot-scale plants treating low-strength (less than 1 g of biological oxygen demand per liter) sewage or soybean-processing wastewater were examined by analysis of the colony-forming-curves (CFC) obtained by counting colonies at suitable intervals. The wastewaters, containing high amounts of suspended solids (SS) (SS/chemical oxygen demand ratio, 0.51 to 0.80), were treated by using two types of bioreactors: (i) a hydrolyzation reactor for solubilization and acidification of SS in wastewater and (ii) a methane fermentation reactor for producing methane. The colony counts for the two sewage treatment plants continued to increase even after 3 weeks of incubation, whereas those for soybean-processing wastewater reached an approximately constant level within 3 weeks of incubation. The CFCs were analyzed by correlating the rate of colony appearance on roll tubes with the physiological types of bacteria present in the bioreactors. It was found that there were large numbers of slow-colony-forming anaerobic bacteria within the bioreactors and that the viable populations consisted of a few groups with different growth rates. It is considered that the slow-growing colonies appearing after 10 days of incubation were the dominant microflora in the sewage treated by hydrolyzation reactors. In particular, highly concentrated sludge (30.0 g of mixed-liquor volatile SS per liter) retained by the membrane separation module contained a large number of such bacteria. Slow-growing colonies of these bacteria could be counted by using a sludge extract medium prepared from only the supernatant of autoclaved sludge. In addition, the highest colony counts were almost always obtained with the sludge extract medium, meaning that most of the anaerobic bacteria in these sludges have complex nutrient requirements for growth. This report also indicates the usefulness of application of the CFC analysis method to the study of bacterial populations of anaerobic treatment systems.

Diversity and Population Dynamics of Methanogenic Bacteria in a Granular Consortium

Upflow anaerobic sludge blanket bioreactor granules were used as an experimental model microbial consortium to study the dynamics and distribution of methanogens. Immunologic methods revealed a considerable diversity of methanogens that was greater in mesophilic granules than in the same granules 4 months after a temperature shift from 38 to 55°C. During this period, the sizes of the methanogenic subpopulations changed with distinctive profiles after the initial reduction caused by the shift. Methanogens antigenically related to Methanobrevibacter smithii PS and ALI, Methanobacterium hungatei JF1, and Methanosarcina thermophila TM1 increased rapidly, reached a short plateau, and then fell to lower concentrations that persisted for the duration of the experiment. A methanogen related to Methanogenium cariaci JR1 followed a similar profile at the beginning, but it soon diminished below detection levels. Methanothrix rods weakly related to the strain Opfikon increased rapidly, reaching a high-level, long-lasting plateau. Two methanogens related to Methanobrevibacter arboriphilus AZ and Methanobacterium thermoautotrophicum ΔH emerged from very low levels before the temperature shift and multiplied to attain their highest numbers 4 months after the shift. Histochemistry and immunohistochemistry revealed thick layers, globular clusters, and lawns of variable density which were distinctive of the methanogens related to M. thermoautotrophicum ΔH, M. thermophila TM1, and M. arboriphilus AZ and M. soehngenii Opfikon, respectively, in thin sections of granules grown at 55°C for 4 months. Mesophilic granules showed a different pattern of methanogenic subpopulations.