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51317--9483-DNA Based Diversity Analysis of Microorganisms in Industrial Cooling Towers

Comparison of 16s ribosomal DNA sequence can show evolutionary relatedness among microorganisms. In this study, 16s rDNA was employed to maximize the population identification of 40 cooling tower samples. This shows that a wide variety of biocides are needed to address microbial populations.

Product Number: 51317--9483-SG
ISBN: 9483 2017 CP
Author: Linna Wang
Publication Date: 2017
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Effective microbial control in cooling systems is necessary to ensure system cleanliness and avoid fouling that degrades cooling system performance promotes corrosion and favors growth of pathogens. However controlling organisms optimally involves an understanding of the identity of the population of microbes in a system due to the varying susceptibilities of organisms to biocides. This is a challenging task with standard culturing techniques which only allow for a small fraction of the total population to be cultured and identified. In this study 16s rDNA was employed to maximize the population identification of 25+ different independent cooling tower samples. The analysis yielded over 165000 sequences which corresponded to over 1000 different organism species demonstrating extensive diversity not only from remote locations but also with locations in close proximity. This shows that a wide variety of biocides are needed to address microbial populations.

Key words: 16s, amplicon metagenomics, water cooling towers, corrosion, biofouling, microbial monitoring, biocides

Effective microbial control in cooling systems is necessary to ensure system cleanliness and avoid fouling that degrades cooling system performance promotes corrosion and favors growth of pathogens. However controlling organisms optimally involves an understanding of the identity of the population of microbes in a system due to the varying susceptibilities of organisms to biocides. This is a challenging task with standard culturing techniques which only allow for a small fraction of the total population to be cultured and identified. In this study 16s rDNA was employed to maximize the population identification of 25+ different independent cooling tower samples. The analysis yielded over 165000 sequences which corresponded to over 1000 different organism species demonstrating extensive diversity not only from remote locations but also with locations in close proximity. This shows that a wide variety of biocides are needed to address microbial populations.

Key words: 16s, amplicon metagenomics, water cooling towers, corrosion, biofouling, microbial monitoring, biocides

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