Difference between revisions of "Team:MIT/Attributions"

Microbial consortia engineering has the potential to more effectively generate useful products, ranging from biofuels to specialty chemicals, than current technology based on mono-cultures of bacteria (Shong 2012). Communities of microbes can better handle the complex process of the conversion of substrates to products by dividing the metabolic load among multiple species. In addition, communities of microbes exhibit increased production rates, metabolic efficiency, and robustness to changes in environmental conditions relative to mono-cultures due to synergistic interactions between species. Currently, there are many challenges in creating synthetic microbial consortia. For instance, natural microbial communities have evolved to be capable of maintaining homeostasis, but synthetic communities are not. When creating synthetic microbial consortia, one must ensure that the members do not out-compete each other, do not exhaust the resources in their environments, and do not have unstable genetic compositions. Thus, engineering microbial consortia requires the establishment of population control systems. The use of synthetic microbial consortia for consolidated bio-processing also faces the same challenges as the use of mono-cultures, including economic feasibility relative to current methods of production.

We aim to create a stable and robust synthetic microbial consortia that converts agricultural waste, lignocellulose, into a useful product, biodiesel. Our system consists of a co-culture of Cytophaga hutchinsonii, an aerobic bacteria that rapidly digests crystalline cellulose, and Escherichia coli, which can grow on the sugars produced from cellulose degradation and is genetically modified to produce the fatty acid esters that comprise biodiesel. In addition to this existing metabolic link, we introduce a synthetic communication pathway to ensure a synergistic relationship between them. Our main focus is thus to ensure stable and efficient ratios of the populations of the bacteria through synthetic biology. In order to predict the interactions between the bacteria and design the communication network, we model the dynamics of our co-culture using whole-genome scale metabolic models with an approach called dynamic flux balance analysis. Our co-culture has many characteristics that make it better than current methods of generation of biodiesel and other products. It is a stable co-culture as opposed to a mono-culture, so it is capable of performing the complex task of conversion of the cellulosic waste into high-value products in one reactor. It does not require additional pre-processing steps of cellulosic substrate, reducing production costs. The ability of our co-culture to use cellulosic waste to produce biodiesel also makes it environmentally friendly, compared to other methods of fuel production. Also, our culture is resilient to environmental changes, which reduces operating costs because optimal operating conditions do not have to be maintained. In addition, our co-culture can be grown aerobically at room temperature, which also cuts down on operating costs.