BIOremediation systems exploiting SYnergieS for improved removal of Mixed pOllutants (BIOSYSMO)

BIOSYSMO是一项为期48个月的行动，将开发一个计算辅助框架，用于设计和优化协同生物系统，结合所需的途径和特性，以实现污染物混合物的最有效降解和隔离。这些生物系统将包括细菌、真菌和植物的组合，其中包含污染物降解所需的自然或工程途径，并根据计算辅助分析确定。BIOSYSMO将利用高天然微生物多样性，从污染地点和受弥漫性污染影响的地点筛选样本，以识别已经存在并能够代谢目标污染物的天然微生物。通过将数据挖掘工具应用于公共存储库中可用的基因组和宏基因组数据，搜索将扩展到先前识别和表征的微生物。协同生物系统的构建和优化将结合以下方法：1)增强植物与微生物（细菌、真菌）的相互作用，以实现改善污染物吸收和/或降解的组合；2)工程细菌，用于改善降解和生物增强，植物（杨树），用于改善微生物定植和污染物吸收；3)构建人工微结构的集合体，形成集合体和生物膜，包含污染物去除所需的所有途径；4)应用生物电化学系统（BES）作为独立或混合系统。在基因组尺度代谢（GEM）模型的帮助下，不同的关键参与者将被识别并结合起来，形成创新的生物系统，以阐明和模拟关键的代谢途径。构建的生物系统将应用于传统的（植物修复，生物修复，生物增强）和创新的（BES，混合BES-植物修复）生物修复方法，优化处理土壤，沉积物和水中污染物的混合物。

BIOSYSMO is a 48-month action that will develop a computationally-assisted framework for designing and optimizing synergistic biosystems combining the required pathways and traits to achieve the most efficient degradation and sequestration of pollutant mixtures. These biosystems will comprise combinations of bacteria, fungi and plants containing the natural or engineered pathways required for pollutants degradation and identified based on a computationally-assisted analysis. BIOSYSMO will take advantage of the high natural microbial diversity by screening samples from polluted sites and locations affected by diffuse pollution to identify natural microorganisms already present and able to metabolize the target pollutants. The search will be expanded to microorganisms previously identified and characterized by applying data mining tools to genomic and metagenomic data available in public repositories. The construction and optimization of synergistic biosystems will combine approaches based on 1) enhancing plant-microbe (bacteria, fungi) interactions to achieving combinations with improved pollutant uptake and/or degradation; 2) engineering bacteria, for improved degradation and bioaugmentation, and plants (poplar tree), for improved microbial colonization and pollutant uptake; 3) constructing artificial micro-structured consortia into aggregates and biofilms, containing all the required pathways for pollutant removal; and 4) applying bioelectrochemicalsystems(BES) asstand-alone or in hybrid systems. The different key players will be identified and combined to formulate innovative biosystems with the assistance of genome-scale metabolic (GEM) models for elucidating and simulating the key metabolic pathways. The constructed biosystems will be applied in conventional (phytoremediation, biopile, bioaugmentation) and innovative (BES, hybrid BES-phytoremediation) bioremediation approaches optimized for the treatment of mixtures of pollutants in soil, sediments and water.