How microbial communities emerge

New research has just been published aimed at offering a complete understanding how those relationships form.

Computational ecologist Dr Miguel Lurgi explores how associations between complex bacterial communities and multicellular hosts emerge in nature by combining theory with empirical work.

For his latest research Dr Lurgi and his colleague Dr Gui Araujo, from the Biosciences Department of the Faculty of Science and Engineering, teamed up with collaborators from the French Scientific Research Council, the University of New South Wales in Australia, and the Institute for Marine and Antarctic Studies, also in Australia.

They set about devising a theoretical framework to gain further knowledge on the emergence of host-associated complex microbiomes. Their insights have just been published by the journal Trends in Microbiology,

Dr Lurgi said: "We argue that microbiome assembly is a product of ecology and evolution acting together.

"Our research aims at bringing together ecological and evolutionary theory on one hand, and microbial and symbiont ecology and evolution on the other, to create a holistic picture of the assembly of complex symbioses.

"These symbiotic relationships constitute one of the most ancient associations between multicellular organisms and groups of microbes, and, in many cases, they are fundamental to the persistence of both the host and the microbiome."

The researchers are currently using the proposed framework to investigate microbes inside marine sponges. They are also looking at extending these findings to other microbiomes, eventually allowing for a unified understanding of the intricate nature of symbiotic relationships of multiple species within different groups of hosts and across taxa.

Dr Lurgi is head of the Computational Ecology Lab at Swansea and has been awarded a Leverhulme Trust award for his research project The origin of complex symbioses.

He said: "My main research focus is on the mechanisms behind the emergence of complexity in ecological networks. I develop theoretical models of ecological communities and network dynamics to better understand these mechanisms and the biodiversity patterns they give rise to."

Dr Lurgi and Dr Araujo are now working on developing the mathematical foundations of the ideas presented in the current paper and have just presented the work at the 19^th International Symposium of Microbial Ecology, in South Africa.