University of Cambridge > > Isaac Newton Institute Seminar Series > Predicting microbial interactions

Predicting microbial interactions

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact nobody.

MMVW03 - Measures and Representations of Interactions

Microbes form diverse communities whose activities play key roles 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, measuring the interaction network of such communities remains challenging. To address this knowledge gap, we used a novel high-throughput microfluidics device to measure thousands of microbial interactions across multiple environments. Our data revealed that while interactions typically change qualitatively across environments, they can be predicted based on the growth abilities of individual species. Furthermore, we showed that interactions between multiple species combine in a highly non-additive manner, and are dominated by the strongest pairwise interaction. These findings provide the first step toward a predictive understanding of microbial interactions and their collective properties. 

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity