There are so many microorganisms that inhibit our bodies and the interactions these have among one another determine how our bodies cope with different scenarios that occur in various environmental conditions. Yet with numerous interactions, it's difficult to predict these interactions. So a team developed a mathematical framework that would map these patterns.
“We’ve built a rigorous mathematical framework that describes the ecology of a microbiome coupled to its host. What is unique about this approach is that it allows a global view of a microbiome-host interaction landscape,” said Ludington. “We can now use this approach to compare different landscapes, which will let us ask why diverse microbiomes are associated with similar health outcomes.”
Here's a link to their paper published in the Journal of Mathematical Biology.
(Image credit: William Ludington et al/Carnegie Institution for Science)