BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-2639
DTSTART:20120410T170500Z
DURATION:PT1H0M0S
DTSTAMP:20260415T204757Z
LAST-MODIFIED:20120405T222516Z
LOCATION:4274 Chamberlin
SUMMARY:Computation and Informatics in Biology and Medicine (CIBM)\, C
 haos & Complex Systems Seminar\, David J. Baumler\, UW Biotechnology C
 enter
DESCRIPTION:No other family of microorganisms has had a greater impact
  on human health then the Enterobacteriaceae\, and these bacteria have
  evolved into a wide variety of commensal and human\, plant\, and avia
 n pathogens.  These organisms have diverged from a common ancestor ~30
 0-500 million years ago (MYA)\, and little is known about ancestral me
 tabolism.  Using a paleo systems biology approach the metabolism of an
 cient microorganisms has been investigated through construction of met
 abolic models using either ancient genomic DNA (such as the Yersinia p
 estis genome that has been recently sequenced from human corpses that 
 were victims of the 2nd pandemic of the black plague ~1300 A.D.) or th
 rough a comparison of 72 enterobacterial genomes of modern descendents
 .
\n
\nI will present an analysis of the ability of these ancient meta
 bolic models to utilize 300 substrates and how some of these metabolic
  strategies are used in numerous human niche locations where modern-da
 y enterobacteria cause disease.  Overall this work will demonstrate th
 at models of ancient bacteria can be used to accurately predict metabo
 lism and to derive new targets to control human disease.
\n
URL:https://www.physics.wisc.edu/events/?id=2639
END:VEVENT
END:VCALENDAR