Literature DB >> 12469946

The role of molecular methods in evaluating biological treatment processes.

Bruce E Rittmann1.   

Abstract

Methods derived from molecular biology provide powerful new tools to analyze biological treatment processes. Because molecular methods can be used to directly interrogate genetic information about the microbial community, they can provide the fine detail that is impossible with the blunt, nondiscriminating information usually obtained from more traditional measures such as biochemical oxygen demand and volatile suspended solids. Molecular methods allow tracking of critical groups of microorganisms, such as ammonia oxidizers, that comprise a small fraction of the total biomass. Molecular methods also allow tracking of specific metabolic reactions or other functions that are key to the satisfactory performance of a system. Despite their power, molecular methods do not provide sufficient information when used alone. Aggregated measures and quantitative modeling remain necessary to establish mass balances, quantify the function of the microbial community, and connect the results of molecular assays to practice. Several examples involving nitrifying bacteria in activated sludge illustrate the fine detail available with molecular methods and how they can be linked to traditional and quantitative analyses. Other manuscripts in this special issue also provide examples of the value of using molecular tools in combination with traditional methods.

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Year:  2002        PMID: 12469946     DOI: 10.2175/106143002x140170

Source DB:  PubMed          Journal:  Water Environ Res        ISSN: 1061-4303            Impact factor:   1.946


  2 in total

1.  Potentially pathogenic bacteria in shower water and air of a stem cell transplant unit.

Authors:  Sarah D Perkins; Jennie Mayfield; Victoria Fraser; Largus T Angenent
Journal:  Appl Environ Microbiol       Date:  2009-07-06       Impact factor: 4.792

2.  Prokaryotic suppression subtractive hybridization PCR cDNA subtraction, a targeted method to identify differentially expressed genes.

Authors:  Susan K De Long; Kerry A Kinney; Mary Jo Kirisits
Journal:  Appl Environ Microbiol       Date:  2007-11-09       Impact factor: 4.792

  2 in total

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