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SUMMARY:Plenary Lecture 8: Towards a predictive framework for microbial co
 mmunity dynamics in drinking water systems - Pinto\, A (University of Glas
 gow)
DTSTART:20141127T112500Z
DTEND:20141127T115500Z
UID:TALK56383@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:The abundant and diverse drinking water microbiome migrates da
 ily from the drinking water treatment plant through the distribution syste
 ms into our homes\, offices\, schools\, etc. Every litre of water emerging
  from our taps has tens of millions of microbes  bacteria\, archaea\, euka
 ryotes\, and viruses  all of which constitute a complex microbial communit
 y. Effectively managing this diverse microbial community is not only criti
 cal from a public health perspective\, but also has implications for our w
 ater infrastructure (e.g. microbially mediated corrosion). Efforts to mana
 ge the drinking water microbiome would be well served by a framework that 
 can predict its dynamics as a function of process operations\, environment
 al conditions\, and water supply infrastructure over relevant spatial and 
 temporal scales. A predictive framework would pave the way for a nuanced c
 ontrol of the drinking water microbiome\, which will save labour\, energy 
 and may also ultimately promote heal th. This presentation will outline ef
 forts to develop a such predictive framework for water systems in the US a
 nd Europe. \n
LOCATION:Seminar Room 1\, Newton Institute
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