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Environment Arrays: A Method for Predicting Changes in Bacterial Disease Potential in Water

Liam Brown

Although current genetic approaches for identifying bacteria in water have proven to be effective, they do not consistently forecast disease outbreaks. Genomics-based techniques will aid in the early detection of diseases before they grow into a population that poses a public health problem. We believe that genetics is just one tool in the toolbox that will be required to discover new waterborne dangers. We propose an approach based on mobile genome activity that goes beyond genomics. This method employs a novel gadget known as an environment array. The array will rely on the same research as genomics-based detection, but it will not necessitate any prior information. Molecular profiles of infectious components that transmit between bacteria are used to create environment arrays. The array has the advantage of monitoring the mobile genome's activity rather than the presence of specific DNA sequences. Traditional hybridization or PCR-based approaches that target already known DNA sequences should consequently be many times more sensitive than environmental arrays. Mobile elements are known to respond to new environmental conditions that could indicate a chemical pollution or a bacterial pathogen bloom, potentially allowing for a far larger applicability in identifying undiscovered biological and chemical threats.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert.
 
Peer-Review-Publikation für Verbände, Gesellschaften und Universitäten pulsus-health-tech
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