Engineering difference: Matrix design determines community composition in wastewater treatment systems
Engineering difference: Matrix design determines community composition in wastewater treatment systems
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DOI：
10.1016/j.ecoleng.2011.12.016
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发表时间：
2012-03-01
影响因子：
3.8
通讯作者：
Tyrrel, S. F.
中科院分区：
文献类型：
--
作者：
Harris, J. A.;Baptista, J. D. C.;Tyrrel, S. F.
越来越多的人认为，生态学理论的应用有可能促进废水工程中从描述性框架向预测性框架的转变。在这项研究中，我们测试了以下假设：(I)可以在废水处理模块中设计微生物群落之间的一致差异；(Ii)结构复杂性和遗传多样性之间存在正相关关系；(Iii)这种相互作用受能量的可获得性调节。我们开发了四个日益复杂的支持材料(基质)设计的处理模块，并通过它们泵送了16周的合成废水。然后，我们拆解模块，并评估支持材料上存在的群落的系统发育(一般的真细菌和氧化铵，通过DGGE图谱)和表型(通过PLFA图谱)的多样性。我们发现，不同的遗传型和表型群落结构是由工程的物理环境在结构复杂性(由粒度分布决定，因此孔径分布)方面可靠地产生的。此外，表型结构对这种情况和有机物的存在也有明显一致的反应。然而，我们发现，无论是真细菌还是氨氧化微生物组，遗传多样性和结构复杂性之间都没有显著的关系。这项工作表明，有可能通过改变其物理复杂性来设计不同微生物群落组成的模块。这是在流程层面上测试系统多样性和处理复原力之间关系的重要第一步。(C)2012爱思唯尔B.V.保留所有权利。
There is a growing view that the application of ecological theory has the potential to facilitate a transition from a descriptive to a predictive framework in wastewater engineering. In this study we tested the hypotheses that: (i) it is possible to engineer consistent differences between microbial communities in wastewater treatment modules; (ii) there is a positive relationship between structural complexity and genetic diversity; (iii) such interactions are modulated by the availability of energy. We developed four treatment modules of increasingly complex support material (matrix) design, and pumped a synthetic wastewater through them for 16 weeks. We then disassembled the modules and assessed the phylogenetic (general eubacteria and ammonium oxidisers, by DGGE profiling) and phenotypic (by PLFA profiling) diversity of the communities present on the support materials. We found that different genotypic and phenotypic community structures were reliably generated by the engineering of their physical environment in terms of structural complexity (as determined by particle size distribution and therefore pore size distribution). Furthermore, there was a notably consistent response of the phenotypic structure to such circumstances, and also to the presence of organic matter. However, we found no significant relationships between genetic diversity and structural complexity either for eubacterial or ammonia-oxidiser microbial groups. This work demonstrates that is it possible to engineer modules of differing microbial community composition by varying their physical complexity. This is an essential first step in testing relationships between system diversity and treatment resilience at a process level. (C) 2012 Elsevier B.V. All rights reserved.