![]() In soil, the efficiency of community function is critical to processes of environmental interest such as bioremediation-the breakdown of pollutants through microbial metabolism. Despite vital impacts of microbial function, design principles that rationally promote specific metabolic activities towards optimized performances have still remained largely obscure. Examples include element cycling, biodegradation of pollutants, food fermentation and many other biogeochemical processes essential for eco-system sustainability and human health. Such interactions are in many cases derived by metabolism-food chains, substrate competition, syntrophy, and waste product inhibition, playing important roles in almost all processes occurring on this planet. Members in microbial communities may interact bidirectionally or unidirectionally, leading to synergism, commensalism, mutualism, parasitism or competition among them. ![]() Microorganisms in nature co-exit as communities. Overall, our analysis demonstrates that understanding community function in its wider context, beyond the single direct degrader perspective, promotes the design of biostimulation strategies. Based on simulations we designed endogenous consortia optimized for enhanced degradation whose performances were validated in vitro and biostimulation strategies that were tested in pot experiments. Simulations predict that growth/degradation enhancement is derived by metabolic exchanges between community members. By modeling community function we show that consortia including the direct degrader and non-degrader differentially abundant species perform better than Arthrobacter alone. Genome-scale metabolic models were constructed for Arthrobacter, the atrazine degrader, and four other non-atrazine degrading species whose relative abundance in soil was changed following exposure to the herbicide. Treatment of agriculture soil with atrazine is shown to induce significant changes in community structure and functional performances. Here, we demonstrate the application of sequencing technologies and metabolic modeling approaches towards enhancing biodegradation of atrazine-a herbicide causing environmental pollution. The composition of the community and the interactions between its members affect degradation rate and determine the identity of the final products. ![]() Microbial communities play a vital role in biogeochemical cycles, allowing the biodegradation of a wide range of pollutants. ![]()
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