Evolution and mechanisms of interactions in biofilm communities. This project aims to study the long-term experimental evolution of a mixed species bacterial biofilm community. This project expects to gain understanding of the genetic and physiological basis of community evolution. Expected outcomes of this project will be an understanding of how synthetic communities evolve. This will significantly benefit the use of synthetic communities relevant to fields such as antibiotic design, biotechnol ....Evolution and mechanisms of interactions in biofilm communities. This project aims to study the long-term experimental evolution of a mixed species bacterial biofilm community. This project expects to gain understanding of the genetic and physiological basis of community evolution. Expected outcomes of this project will be an understanding of how synthetic communities evolve. This will significantly benefit the use of synthetic communities relevant to fields such as antibiotic design, biotechnology, bioremediation, and synthetic biology where evolution can be inhibited or exploited, respectively.Read moreRead less
Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will ....Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will inform the next generation of climate models and better predict our future climate’s feedbacks. Conversely, it will make progress on the grand challenge of understanding microbial community function by enabling microbial ecology to be treated as a data-intensive machine learning problem.Read moreRead less