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Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance

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 th...

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Autores principales: Zhang, Xiaolin, Reed, Jennifer L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4191979/
https://www.ncbi.nlm.nih.gov/pubmed/25299364
http://dx.doi.org/10.1371/journal.pone.0108297
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author Zhang, Xiaolin
Reed, Jennifer L.
author_facet Zhang, Xiaolin
Reed, Jennifer L.
author_sort Zhang, Xiaolin
collection PubMed
description 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.
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spelling pubmed-41919792014-10-14 Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance Zhang, Xiaolin Reed, Jennifer L. PLoS One Research Article 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. Public Library of Science 2014-10-09 /pmc/articles/PMC4191979/ /pubmed/25299364 http://dx.doi.org/10.1371/journal.pone.0108297 Text en © 2014 Zhang, Reed http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhang, Xiaolin
Reed, Jennifer L.
Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance
title Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance
title_full Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance
title_fullStr Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance
title_full_unstemmed Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance
title_short Adaptive Evolution of Synthetic Cooperating Communities Improves Growth Performance
title_sort adaptive evolution of synthetic cooperating communities improves growth performance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4191979/
https://www.ncbi.nlm.nih.gov/pubmed/25299364
http://dx.doi.org/10.1371/journal.pone.0108297
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