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SUMMARY:Predicting microbial interactions - Jonathan Friedman (Hebrew Univ
 ersity of Jerusalem)
DTSTART:20230912T090000Z
DTEND:20230912T094500Z
UID:TALK203356@talks.cam.ac.uk
DESCRIPTION:Microbes form diverse communities whose activities play key ro
 les in numerous application areas\, including biotechnology\, agriculture\
 , and medicine. The structure and function of these communities are shaped
  by interactions between the species that comprise them. However\, measuri
 ng the interaction network of such communities remains challenging. To add
 ress this knowledge gap\, we used a novel high-throughput microfluidics de
 vice to measure thousands of microbial interactions across multiple enviro
 nments. Our data revealed that while interactions typically change qualita
 tively across environments\, they can be predicted based on the growth abi
 lities of individual species. Furthermore\, we showed that interactions be
 tween multiple species combine in a highly non-additive manner\, and are d
 ominated by the strongest pairwise interaction. These findings provide the
  first step toward a predictive understanding of microbial interactions an
 d their collective properties.&nbsp\;
LOCATION:Seminar Room 1\, Newton Institute
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