title: Adaptive evolution of synthetic cooperating communities improves growth performance.
abstract: Symbiotic interactions between organisms are important for human health and biotechnological applications. Microbial mutualism is a widespread phenomenon and is important in maintaining natural microbial communities. Although cooperative interactions are prevalent in nature, little is known about the processes that allow their initial establishment, govern population dynamics and affect evolutionary processes. To investigate cooperative interactions between bacteria, we constructed, characterized, and adaptively evolved a synthetic community comprised of leucine and lysine Escherichia coli auxotrophs. The co-culture can grow in glucose minimal medium only if the two auxotrophs exchange essential metabolites - lysine and leucine (or its precursors). Our experiments showed that a viable co-culture using these two auxotrophs could be established and adaptively evolved to increase growth rates (by ∼3 fold) and optical densities. While independently evolved co-cultures achieved similar improvements in growth, they took different evolutionary trajectories leading to different community compositions. Experiments with individual isolates from these evolved co-cultures showed that changes in both the leucine and lysine auxotrophs improved growth of the co-culture. Interestingly, while evolved isolates increased growth of co-cultures, they exhibited decreased growth in mono-culture (in the presence of leucine or lysine). A genome-scale metabolic model of the co-culture was also constructed and used to investigate the effects of amino acid (leucine or lysine) release and uptake rates on growth and composition of the co-culture. When the metabolic model was constrained by the estimated leucine and lysine release rates, the model predictions agreed well with experimental growth rates and composition measurements. While this study and others have focused on cooperative interactions amongst community members, the adaptive evolution of communities with other types of interactions (e.g., commensalism, ammensalism or parasitism) would also be of interest.
authors.affiliation: Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
authors.forename: Xiaolin
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Reed
mesh_terms: D005075:Biological Evolution; D018920:Coculture Techniques / Q000379:methods; D003470:Culture Media / Q000378:metabolism; D004926:Escherichia coli / Q000254:growth & development* / Q000378:metabolism; D005947:Glucose / Q000378:metabolism; D007930:Leucine / Q000378:metabolism; D056265:Microbial Interactions / Q000502:physiology*; D008954:Models, Biological; D010829:Physiological Phenomena / Q000502:physiology
chemical_list: D003470:Culture Media; D007930:Leucine; D005947:Glucose