BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250802T183852EDT-7890kIvHeX@132.216.98.100
DTSTAMP:20250802T223852Z
DESCRIPTION:Integrating protein biophysics and population dynamics to predi
 ct microbial evolution\n\nAdrian Serohijos\, Harvard University\n	Tuesday M
 arch 31\, 12-1pm\n	Montreal Neurological Institute\, deGrandpre Communicati
 ons Centre\n\nAbstract: Evolution is a unifying theme in the urgent medica
 l and public health problems we face today including cancer\, the rise of 
 antibiotic resistance\, and the spread of pathogens. But the ability to pr
 edict evolution remains a major challenge because it requires bridging sev
 eral scales of biological organization. Potential evolutionary pathways ar
 e determined by the “fitness landscape” (the genotype-phenotype relationsh
 ip)\, but how this landscape is explored depends on population dynamics an
 d ecology.\n\nIn the first half of the seminar\, I describe our work where
  we showed that the fitness landscape of an RNA virus escaping a neutraliz
 ing antibody can be projected onto two biochemical traits\, the capsid fol
 ding stability and its binding affinity to the antibody. We then developed
  a theory based on protein biophysics and population genetics to predict h
 ow the fitness landscape is dynamically explored. Using a droplet-based mi
 crofluidics “Evolution Chip”\, we propagated millions of independent viral
  sub-populations\, and showed that by tuning viral population size per dro
 p\, we could predict the direction of viral evolution. In the second half 
 of the seminar\, I will describe a chromosomal barcoding technique that al
 lows simultaneous tracking of ~106 distinct bacterial cell lineages in an 
 evolving bacterial population. We used this approach to dissect at high-re
 solution how microbial populations evolve under sub-inhibitory antibiotic 
 concentrations and in complex poly-species communities\, such as the mamma
 lian gut.\n
DTSTART:20200331T160000Z
DTEND:20200331T170000Z
LOCATION:deGrandpre Communications Centre\, Montreal Neurological Institute
 \, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University
SUMMARY:QLS Seminar Series - Adrian Serohijos
URL:/qls/channels/event/qls-seminar-series-adrian-sero
 hijos-320853
END:VEVENT
END:VCALENDAR