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BEGIN:VEVENT
DTSTAMP:20261001T100132Z
LAST-MODIFIED:20190205T151654Z
DTSTART:20190212T203000Z
DTEND:20190212T213000Z
UID:event1991@bu.edu
URL:http://physics.bu.edu/internal/events/show/1991
SUMMARY:A renewable barcoding system for high-resolution lineage tracking i
	n laboratory yeast
DESCRIPTION:Featuring Michael Desai\, Harvard University\nHosted by: Kirill
	 Korolev\nPoster: http://physics.bu.edu/internal//files/download/Desai-post
	er.pdf\n\nPart of the Physics Department Colloquia Series.\n\nIn the past f
	ew years\, whole-genome sequencing studies of evolving microbial population
	s have shown that the dynamics of adaptation can be remarkably complex. How
	ever\, these whole-genome sequencing approaches have a very limited resolut
	ion due to practical limitations on sequencing depth: typically we can only
	 identify mutations when they reach frequencies of at least a few percent. 
	This is a critical limitation in large microbial populations\, where the fa
	tes of mutations are often determined over long timescales by competition a
	nd hitchhiking among rare high-fitness lineages\, and the vast majority of 
	driver mutations never reach detectable frequencies. I will describe a rene
	wable high-efficiency barcoding approach which makes it possible to periodi
	cally add barcodes to an evolving yeast population. New barcodes are integr
	ated immediately downstream of existing barcodes\, so that each cell contai
	ns a string of barcodes that encodes its ancestry. By sequencing the barcod
	e locus\, we can then track the frequencies of all the lineages and subline
	ages in the population for an indefinite period of time and trace the ances
	try of all the individuals in the population. \nI will explain what we saw 
	when we used this system to observe evolutionary dynamics at high resolutio
	n in two laboratory yeast populations.
LOCATION:SCI 109\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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