Ecophysiology of Nitrifying and Denitrifying Microbial Communities and their Interactions in Microbial Flocs

硝化和反硝化微生物群落的生态生理学及其在微生物絮体中的相互作用

• 批准号: 0348392
• 负责人: Francis de los Reyes
• 金额: --
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0348392&HistoricalAwards=false
• 关键词: Ecophysiology; Nitrifying; Denitrifying; Microbial; Communities

0348392 de los Reyes Microbial flocs are complex microbial communities that are of fundamental importance to a wide variety of natural processes and engineered applications. The ecophysiology of microorganisms in floc microenvironments ultimately determines which organisms are present, active, and dominant under specific conditions. The research described in this proposal will apply a multidisciplinary approach to characterize the factors that control community structure and function in nitrogen-transforming flocs. The specific objectives of the project are: (1) To determine the effect of microscopic floc structure (size and shape) on rates and diversity of microbial activities and to establish the diversity, the relative numbers and spatial arrangement of microorganisms involved in nitrogen removal within flocs; (2) To determine the impact of bioreactor macro conditions (DO, substrate type and loading) on floc size, shape, and function; (3) To characterize the carbon- and nitrogen-based metabolic interactions among ammonia-oxidizing, nitrite-oxidizing, and denitrifying bacteria within a floc; and (4) To develop a macroscale model of nitrogen and carbon removal in activated sludge that incorporates microscale processes in flocs.

洛斯雷耶斯微生物絮体是复杂的微生物群落，对各种自然过程和工程应用具有根本重要性。絮凝体微环境中微生物的生理生态学最终决定了哪些生物在特定条件下存在、活跃和占优势。 本提案中描述的研究将采用多学科方法来表征控制氮转化絮体中群落结构和功能的因素。本项目的具体目标是：（1）确定絮凝体微观结构的影响（大小和形状）对微生物活性的速率和多样性的影响，并建立絮凝体中参与脱氮的微生物的多样性、相对数量和空间排列;（2）确定生物反应器宏观条件的影响（DO、基质类型和负载）对絮体尺寸、形状和功能的影响;（3）研究絮体中氨氧化菌、亚硝酸盐氧化菌和反硝化菌之间的碳氮代谢相互作用;（4）建立了一个宏观的活性污泥脱氮除碳模型，该模型结合了絮凝体中的微观过程。