机构:Wadsworth Center for Laboratories and Research, New York State Department of Health, and Department of Biomedical Sciences, School of Public Health, The University at Albany, Albany
MACARIO, AJL
DEMACARIO, EC
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机构:Wadsworth Center for Laboratories and Research, New York State Department of Health, and Department of Biomedical Sciences, School of Public Health, The University at Albany, Albany
DEMACARIO, EC
机构:
[1] Wadsworth Center for Laboratories and Research, New York State Department of Health, and Department of Biomedical Sciences, School of Public Health, The University at Albany, Albany
IMMUNOLOGICAL METHODS;
ANTIBODY PROBES;
ANTIGENIC FINGERPRINTING;
PATTERN OF METHANOGENIC SUBPOPULATIONS;
QUANTITATIVE MEASUREMENTS;
BIOREACTOR PERTURBATIONS;
TEMPERATURE SHIFTS;
SEQUENTIAL CHANGES OF METHANOGENIC SUBPOPULATIONS;
BIOREACTOR MONITORING;
GRANULAR CONSORTIUM;
TOPOGRAPHY OF METHANOGENIC SUBPOPULATIONS;
D O I:
10.1016/0961-9534(93)90071-B
中图分类号:
S2 [农业工程];
学科分类号:
0828 ;
摘要:
The purpose of this brief review is to highlight some of the findings made in the authors' laboratories using immunologic methods and antibody probes developed for analysis of methanogens directly in samples from bioreactors, avoiding culture isolation. A considerable diversity of methanogens was revealed by antigenic fingerprinting in bioreactors, larger than previously suspected. It was also found that the number and immunologic characteristics of the methanogenic subpopulations form a pattern distinctive of bioreactor type, feedstock and operating conditions. This pattern changed in response to perturbations and to temperature shifts. Time course quantitative measurements of methanogenic subpopulations demonstrated that these subpopulations undergo sequential changes during bioreactor operation. Parallel microbiologic, physiologic, and chemical determinations demonstrated the reliability of the immunologic methods and their potential for bioreactor monitoring and for manipulating microbes (e.g. to exclude a strain from a bioreactor). These immunologic methods were used to elucidate and monitor the methanogenic flora of a granular consortium over a period of several months. Each methanogenic subpopulation examined responded to a shift in temperature with changes in cell numbers and in its topography within the consortium.