Environment arrays: a possible approach for predicting changes in waterborne bacterial disease potential.
Current molecular techniques for identifying bacteria in water have proven useful, but they are not reliably predictive of impending disease outbreaks. Genomics-based approaches will help to detect the presence of pathogens quickly and well before they grow into a population that poses a risk to public health. We suggest that genomics is only one component of the toolbox that will be needed to identify emerging waterborne threats. We propose a methodology beyond genomics, based on activity in the mobile genome. This approach makes use of a new device called an environment array. The array will depend upon the same research necessary for genomics-based detection, but will not require an a priori knowledge of virulence genes. Environment arrays are assembled from molecular profiles of the infectious elements that transfer between bacteria. The advantage of the array is that it monitors the activity of the mobile genome, rather than the presence of particular DNA sequences. Environmental arrays should thus be many times more sensitive than traditional hybridization or PCR-based techniques that target already-known DNA sequences. Mobile elements are known to respond to new environmental conditions that may correlate with a chemical contamination or the bloom of bacterial pathogens, potentially allowing for a much broader application in detecting unknown or unanticipated biological and chemical contaminants.
Heinemann
Jack A
JA
School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, New Zealand. jack.heinemann@canterbury.ac.nz
Rosén
Håkan
H
Savill
Marion
M
Burgos-Caraballo
Sofia
S
Toranzos
Gary A
GA
D001419:Bacteria / Q000235:genetics*; D004784:Environmental Monitoring / Q000379:methods*; D022761:Gene Transfer, Horizontal / Q000235:genetics*; D016680:Genome, Bacterial / Q000235:genetics*; D023281:Genomics / Q000379:methods; D032023:Integrons / Q000235:genetics*; D046228:Microarray Analysis / Q000379:methods*; D020080:Tandem Repeat Sequences / Q000235:genetics; D014871:Water Microbiology