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Assessing biodegradation benefits from dispersal networks

机译:评估分散网络带来的生物降解效益

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The performance of biodegradation of organic pollutants in soil often depends on abiotic conditions and the bioavailability of these pollutants to degrading bacteria. In this context, bacterial dispersal is an essential aspect. Recent studies on the potential promotion of bacterial dispersal by fungal hyphae raised the idea of specifically applying fungal networks to accelerate bacterial degradation processes in situ. Our objective is to investigate these processes and their performance via simulation modelling and address the following questions: (1) Under what abiotic conditions can dispersal networks significantly improve bacterial degradation? and (2) To what extent does the spatial configuration of the networks influence the degradation performance? To answer these questions, we developed a spatially explicit bacterial colony model, which is applied to controlled laboratory experiments with Pseudomonas putida G7 organisms as a case study. Using this model, we analyzed degradation performance in response to different environmental scenarios and showed that conditions of limited bacterial dispersal also limit degradation performance. Under such conditions, dispersal networks have the highest potential for improving the bioavailability of pollutants to bacteria. We also found that degradation performance significantly varies with the spatial configuration of the dispersal networks applied and the time horizon over which performance is assessed. Regarding future practical applications, our results suggest that (1) fungal networks may dramatically improve initially adverse conditions for biodegradation of pollutants in soil, and (2) the network's spatial structure and accessibility are decisive for the success of such tasks.
机译:土壤中有机污染物的生物降解性能通常取决于非生物条件以及这些污染物对细菌的生物利用度。在这种情况下,细菌传播是必不可少的方面。最近关于通过真菌菌丝促进细菌扩散的研究提出了专门应用真菌网络来加速细菌原位降解过程的想法。我们的目标是通过仿真模型研究这些过程及其性能,并解决以下问题:(1)在什么非生物条件下,分散网络可以显着改善细菌降解? (2)网络的空间配置在多大程度上影响降级性能?为了回答这些问题,我们开发了一个空间明确的细菌菌落模型,将其应用于以恶臭假单胞菌G7生物为例的受控实验室实验。使用该模型,我们分析了响应于不同环境情况的降解性能,并表明有限的细菌传播条件也限制了降解性能。在这种条件下,分散网络具有提高污染物对细菌的生物利用度的最大潜力。我们还发现,降级性能会随所应用的分散网络的空间配置以及评估性能的时间范围而显着变化。关于未来的实际应用,我们的结果表明:(1)真菌网络可能会大大改善土壤中污染物生物降解的最初不利条件,并且(2)网络的空间结构和可及性对于此类任务的成功至关重要。

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