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VERSION:2.0
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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260913T132357Z
LAST-MODIFIED:20160419T154944Z
DTSTART:20160422T160000Z
DTEND:20160422T173000Z
UID:event1574@bu.edu
URL:http://physics.bu.edu/internal/events/show/1574
SUMMARY:Modeling microbial communities as a network of chemically mediated 
	interactions 
DESCRIPTION:Featuring Babek Momeni\nHosted by: Kirill Korolev\n\nPart of th
	e Biophysics/Condensed Matter Seminar Series.\n\nMicrobial communities are 
	often modeled as a network of pairwise fitness (NPF) influences between spe
	cies. Such pairwise models have limitations in capturing common interaction
	 types among microbes. Yet\, pairwise models are popular\, because they hav
	e received empirical support in some cases and\, not incorporating interact
	ion mechanisms\, are easy to construct. Here\, we analyze the validity of N
	PF modeling for microbial communities. For this analysis\, we build a refer
	ence model as a network of chemically mediated interactions (NMI) by explic
	itly incorporating interaction mediators. Comparing the predictions between
	 this reference model and a pairwise model derived from it reveals the cond
	itions under which NPF is a valid approximation. We find that NPF modeling 
	may fail to capture community dynamics in many commonly encountered cases: 
	for example\, when both consumable and reusable mediators are present\, whe
	n one species affects another via multiple mediators\, or when a mediator i
	s produced or consumed by multiple species. We further use NMI modeling to 
	explore the network properties that promote coexistence of species in micro
	bial communities.
LOCATION:SCI 352\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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