title: PCR to predict risk of airborne disease.
abstract: Plant, animal and human diseases spread by microscopic airborne particles have had major economic and social impacts during history. Special air-sampling devices have been used to collect such particles since the 19th century but it has often been impossible to identify them accurately. Exciting new opportunities to combine air sampling with quantitative PCR to identify and count these particles are reviewed, using crop pathogen examples. These methods can be used to predict the risk of unexpected outbreaks of airborne diseases by identifying increases in pathogen inoculum or genetic changes in pathogen populations that render control ineffective. The predictions can provide guidance to policymakers, health professionals or the agricultural industry for the development of strategies to minimise the risk of severe pandemics.
authors.affiliation: Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK. jon.west@bbsrc.ac.uk
authors.forename: Jon S
authors.initials: JS
authors.lastname: West
authors.forename: Simon D
authors.initials: SD
authors.lastname: Atkins
authors.forename: Jean
authors.initials: J
authors.lastname: Emberlin
authors.forename: Bruce D L
authors.initials: BD
authors.lastname: Fitt
mesh_terms: D000391:Air Microbiology; D005658:Fungi / Q000145:classification / Q000302:isolation & purification*; D010935:Plant Diseases / Q000382:microbiology*; D010944:Plants; D016133:Polymerase Chain Reaction / Q000379:methods*