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生物硝化过程中混沌不稳定性的实验证明

Experimental demonstration of chaotic instability in biological nitrification.

作者信息

Graham David W, Knapp Charles W, Van Vleck Erik S, Bloor Katie, Lane Teresa B, Graham Christopher E

机构信息

School of Civil Engineering and Geosciences, Newcastle University, Newcastle Upon Tyne, UK.

出版信息

ISME J. 2007 Sep;1(5):385-93. doi: 10.1038/ismej.2007.45. Epub 2007 Jul 12.

Abstract

Biological nitrification (that is, NH(3) --> NO(2)(-) --> NO(3)(-)) is a key reaction in the global nitrogen cycle (N-cycle); however, it is also known anecdotally to be unpredictable and sometimes fails inexplicably. Understanding the basis of unpredictability in nitrification is critical because the loss or impairment of this function might influence the balance of nitrogen in the environment and also has biotechnological implications. One explanation for unpredictability is the presence of chaotic behavior; however, proving such behavior from experimental data is not trivial, especially in a complex microbial community. Here, we show that chaotic behavior is central to stability in nitrification because of a fragile mutualistic relationship between ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB), the two major guilds in nitrification. Three parallel chemostats containing mixed microbial communities were fed complex media for 207 days, and nitrification performance, and abundances of AOB, NOB, total bacteria and protozoa were quantified over time. Lyapunov exponent calculations, supported by surrogate data and other tests, showed that all guilds were sensitive to initial conditions, suggesting broad chaotic behavior. However, NOB were most unstable among guilds and displayed a different general pattern of instability. Further, NOB variability was maximized when AOB were most unstable, which resulted in erratic nitrification including significant NO(2)(-) accumulation. We conclude that nitrification is prone to chaotic behavior because of a fragile AOB-NOB mutualism, which must be considered in all systems that depend on this critical reaction.

摘要

生物硝化作用(即NH₃→NO₂⁻→NO₃⁻)是全球氮循环(N循环)中的关键反应;然而,坊间也知道它不可预测,有时会莫名其妙地失败。了解硝化作用不可预测性的基础至关重要,因为该功能的丧失或受损可能会影响环境中氮的平衡,并且还具有生物技术方面的影响。对不可预测性的一种解释是存在混沌行为;然而,从实验数据中证明这种行为并非易事,尤其是在复杂的微生物群落中。在这里,我们表明混沌行为是硝化作用稳定性的核心,因为氨氧化细菌(AOB)和亚硝酸盐氧化细菌(NOB)这两种硝化作用中的主要类群之间存在脆弱的互利共生关系。向三个装有混合微生物群落的平行恒化器中投喂复杂培养基207天,并随时间对硝化性能以及AOB、NOB、总细菌和原生动物的丰度进行定量。在替代数据和其他测试的支持下,李雅普诺夫指数计算表明所有类群对初始条件敏感,表明存在广泛的混沌行为。然而,NOB在所有类群中最不稳定,并且表现出不同的一般不稳定模式。此外,当AOB最不稳定时,NOB的变异性最大,这导致硝化作用不稳定,包括大量NO₂⁻积累。我们得出结论,由于AOB - NOB之间脆弱的互利共生关系,硝化作用易于出现混沌行为,在所有依赖这一关键反应的系统中都必须考虑这一点。

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