Literature DB >> 15490968

Molecular biology and DNA microarray technology for microbial quality monitoring of water.

Karine Lemarchand1, Luke Masson, Roland Brousseau.   

Abstract

Public concern over polluted water is a major environmental issue worldwide. Microbial contamination of water arguably represents the most significant risk to human health on a global scale. An important challenge in modern water microbial quality monitoring is the rapid, specific, and sensitive detection of microbial indicators and waterborne pathogens. Presently, microbial tests are based essentially on time-consuming culture methods. Rapid microbiological analyses and detection of rare events in water systems are important challenges in water safety assessment since culture methods present serious limitations from both quantitative and qualitative points of view. To circumvent lengthy culture methods, newer enzymatic, immunological, and genetic methods are being developed as an alternative. DNA microarray technology is a new and promising tool that allows the detection of several hundred or even thousands DNA sequences simultaneously. Recent advances in sample processing and DNA microarray technologies provide new perspectives to assess microbial water quality. The aims of this review are to (1) summarize what is currently known about microbial indicators, (2) describe the most important waterborne pathogens, (3) present molecular methods used to monitor the presence of pathogens in water, and (4) show the potential of DNA microarrays in water quality monitoring.

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Mesh:

Year:  2004        PMID: 15490968     DOI: 10.1080/10408410490435142

Source DB:  PubMed          Journal:  Crit Rev Microbiol        ISSN: 1040-841X            Impact factor:   7.624


  15 in total

1.  Quantification of diarrhea risk related to wastewater contact in Thailand.

Authors:  Aleix Ferrer; Hung Nguyen-Viet; Jakob Zinsstag
Journal:  Ecohealth       Date:  2012-02-07       Impact factor: 3.184

2.  Selective removal of DNA from dead cells of mixed bacterial communities by use of ethidium monoazide.

Authors:  Andreas Nocker; Anne K Camper
Journal:  Appl Environ Microbiol       Date:  2006-03       Impact factor: 4.792

Review 3.  Review: Microbial analysis in dielectrophoretic microfluidic systems.

Authors:  Renny E Fernandez; Ali Rohani; Vahid Farmehini; Nathan S Swami
Journal:  Anal Chim Acta       Date:  2017-03-06       Impact factor: 6.558

Review 4.  Experimental procedures for decontamination and microbiological testing in cardiovascular tissue banks.

Authors:  Paula Hansen Suss; Victoria Stadler Tasca Ribeiro; Juliette Cieslinski; Letícia Kraft; Felipe Francisco Tuon
Journal:  Exp Biol Med (Maywood)       Date:  2019-01-06

5.  Waterborne pathogen detection by use of oligonucleotide-based microarrays.

Authors:  Christine Maynard; Frédéric Berthiaume; Karine Lemarchand; Josée Harel; Pierre Payment; Paul Bayardelle; Luke Masson; Roland Brousseau
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

6.  Integration of gene chip and topological network techniques to screen a candidate biomarker gene (CBG) for predication of the source water carcinogenesis risks on mouse Mus musculus.

Authors:  Jie Sun; Shupei Cheng; Aimin Li; Rui Zhang; Bing Wu; Yan Zhang; Xuxiang Zhang
Journal:  Ecotoxicology       Date:  2011-05-04       Impact factor: 2.823

7.  Using DNA microarrays to identify library-independent markers for bacterial source tracking.

Authors:  Marilyn Soule; Edward Kuhn; Frank Loge; John Gay; Douglas R Call
Journal:  Appl Environ Microbiol       Date:  2006-03       Impact factor: 4.792

8.  Simultaneous detection of multiple fish pathogens using a naked-eye readable DNA microarray.

Authors:  Chin-I Chang; Pei-Hsin Hung; Chia-Che Wu; Ta Chih Cheng; Jyh-Ming Tsai; King-Jung Lin; Chung-Yen Lin
Journal:  Sensors (Basel)       Date:  2012-02-29       Impact factor: 3.576

9.  Simultaneous detection of major enteric viruses using a combimatrix microarray.

Authors:  Ju-Mi Kim; Sung Yeon Kim; Young Bin Park; Hye Jin Kim; Byung Sup Min; Jae-Chang Cho; Jai Myung Yang; You-Hee Cho; GwangPyo Ko
Journal:  J Microbiol       Date:  2012-10-27       Impact factor: 2.902

10.  E-Predict: a computational strategy for species identification based on observed DNA microarray hybridization patterns.

Authors:  Anatoly Urisman; Kael F Fischer; Charles Y Chiu; Amy L Kistler; Shoshannah Beck; David Wang; Joseph L DeRisi
Journal:  Genome Biol       Date:  2005-08-30       Impact factor: 13.583

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