Modeling Microbial Biogeochemistry in Permeable Reactive Barriers
Modeling Microbial Biogeochemistry in Permeable Reactive Barriers
批准号:
0756562
负责人:
Joseph Vallino
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-05-01 至 2012-04-30
中文摘要
CBET-0756562 Vallino,JosephMarine Biology生物学实验室在可渗透反应屏障中模拟微生物生物地球化学拟议工作的主要目标是证明最大熵产生原理是理解微生物生物地球化学的坚实基础。这项工作解决了更好地了解代谢网络的需要-即分布在不同微生物物种中但高度协调的代谢途径。为了开发强大的微生物地球化学模型,需要更好地理解分布式微生物代谢网络的组织和功能的机制。现有的微生物生物地球化学模型是还原论的,并坚持竞争排除原则,即生长最快的物种将占主导地位。然而,在微生物群落中观察到的共生和合作现象不能用这一原理来解释。非平衡态热力学可能提供一个更普遍的理论来解释这种观察。该建议旨在根据最大能量生产(MEP)原则(复杂性理论领域的一个原则)开发一个地球化学模型。MEP理论指出,具有许多自由度的复杂系统将组织到最大熵产生的状态。这项工作将导致新的理论进展,以描述微生物地球化学。该方法是创新的,因为它试图扩展复杂性理论来描述微生物群落的功能。这是有价值的,因为现有的简化模型在鲁棒性和预测能力方面失败。该模型的优势在于,新理论将使用PRB的现场进行测试。调查人员已经写了一个坚实的建议,它是写得很好,在适当的文献覆盖面全面,并有细节和广度的正确平衡。更广泛的影响是通过有意义的本科研究和教育经验实现的。
英文摘要
CBET- 0756562Vallino, JosephMarine Biology LaboratoryModeling Microbial Biogeochemistry in Permeable Reactive BarriersThe primary objective of the proposed work is to demonstrate that the maximum entropy production principle is a solid foundation for understanding microbial biogeochemistry. This work addresses the need to have a better understanding of metabolic networks -- that is, metabolic pathways distributed across different microbial species, yet highly coordinated. In order to develop robust models of biogeochemistry, better understanding of the mechanisms that govern organization and function of distributed microbial metabolic networks is needed. Existing models of microbial biogeochemistry are reductionist, and adhere to the competitive exclusion principle which states that the species that grows the fastest will dominate. However, there are observations of syntrophy and cooperation in microbial communities that cannot be explained by this principle. Non-equilibrium thermodynamics may provide a more universal theory to explain such observations. This proposal seeks to develop a biogeochemical model based on the principles of maximum energy production (MEP), a principle in the realm of complexity theory. The MEP theory states that complex systems with many degrees of freedom will organize to a state of maximum entropy production. This work will lead to new theoretical advancements to describe microbial biogeochemistry. The approach is innovative in that it seeks to extend complexity theory to describe microbial community functioning. This is valuable because existing reductionist models fail in robustness and predictive power. A strength of the model is that the new theory will be tested using a field site for PRB. The investigator has written a solid proposal it is well written, comprehensive in coverage of appropriate literature, and has the right balance of detail and breadth. Broader impacts are achieved through meaningful undergraduate research and educational experiences.
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