BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//6.4.7.2//EN
TZID:Europe/Paris
X-WR-TIMEZONE:Europe/Paris
BEGIN:VEVENT
UID:1-243@lptms.universite-paris-saclay.fr
DTSTART:20140310T113000Z
DTEND:20140310T120000Z
DTSTAMP:20140306T093247Z
URL:http://www.lptms.universite-paris-saclay.fr/seminars/journal-club-du-l
 ptms-francois-landes-2/
SUMMARY:Journal club: François Landes - LPTMS\, salle 201\, 2ème étage\,
  Bât 100\, Campus d'Orsay - 10 Mar 14 11:30
DESCRIPTION:Paper: A. Celani &amp\; M. Vergassola\, "Bacterial strategies f
 or chemotaxis response"\, Proc. Natl. Acad. Sci. U. S. A. 107\, 1391–6 (
 2010).\nFrançois Landes\, PhD student LPTMS\nRegular environmental condit
 ions allow for the evolution of specifically adapted responses\, whereas c
 omplex environments usually lead to conflicting requirements upon the orga
 nism’s response. A relevant instance of these issues is bacterial chemot
 axis\, where the evolutionary and functional reasons for the experimentall
 y observed response to chemoattractants remain a riddle. Sensing and motil
 ity requirements are in fact optimized by different responses\, which stro
 ngly depend on the chemoattractant environmental profiles. It is not clear
  then how those conflicting requirements quantitatively combine and compro
 mise in shaping the chemotaxis response. Here we show that the experimenta
 l bacterial response corresponds to the maximin strategy that ensures the 
 highest minimum uptake of chemoattractants for any profile of concentratio
 n. We show that the maximin response is the unique one that always outcomp
 etes motile but nonchemotactic bacteria. The maximin strategy is adapted t
 o the variable environments experienced by bacteria\, and we explicitly sh
 ow its emergence in simulations of bacterial populations in a chemostat. F
 inally\, we recast the contrast of evolution in regular vs. complex enviro
 nments in terms of minimax vs. maximin game-theoretical strategies. Our re
 sults are generally relevant to biological optimization principles and pro
 vide a systematic possibility to get around the need to know precisely the
  statistics
LOCATION:LPTMS\, salle 201\, 2ème étage\, Bât 100\, Campus d'Orsay\, 15 
 Rue Georges Clemenceau\, Orsay\, 91405\, France
GEO:48.698185;2.181768
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=15 Rue Georges Clemenceau\,
  Orsay\, 91405\, France;X-APPLE-RADIUS=100;X-TITLE=LPTMS\, salle 201\, 2è
 me étage\, Bât 100\, Campus d'Orsay:geo:48.698185,2.181768
END:VEVENT
END:VCALENDAR