自养/异养混合型厌氧菌群碳氮代谢途径对降温反应的启示

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-10-16 DOI:10.1016/j.watres.2024.122642
Li Zhou, Xingxing Zhang, Xiaonong Zhang, Peng Wu, Aijie Wang
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引用次数: 0

摘要

虽然多耦合anammox系统拥有坚实的研究基础,但其对温度降低(尤其是在13-15°C范围内)的协同代谢反应的具体特征仍然难以捉摸。在本研究中,我们深入研究了在降温条件下混合自养/异养anammox联合体错综复杂的碳氮代谢途径。我们的宏基因组分析揭示了一个引人注目的现象:负责完全反硝化的功能基因受到刺激,这表明在温度降低过程中这一过程得到了加强。这种适应性可能有助于在环境挑战中保持系统性能。进一步的代谢功能重组分析凸显了微生物群落组成的巨大变化,与自养型 MAGs 相比,反硝化 MAGs(元基因组组装基因组)的丰度大幅提高(高达 200 倍)。这种增殖突显了温度降低对反硝化物种的强烈刺激作用。值得注意的是,自养型 MAGs 在支持反硝化 MAGs 的糖酵解过程中发挥了关键作用,凸显了联合体内错综复杂的相互依存关系。此外,核心 MAGs 之间氨基酸组成的代谢差异也是一种重要的适应机制。这些差异有助于保持酶的活性,并增强联合体对低温的适应能力。总之,这些发现为人们全面了解降温条件下自养/异养混合型厌氧菌群内部的微生物协同代谢提供了依据,揭示了它们在动态环境中的代谢灵活性和恢复能力。
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Insights into the carbon and nitrogen metabolism pathways in mixed-autotrophy/heterotrophy anammox consortia in response to temperature reduction
While the multi-coupled anammox system boasts a substantial research foundation, the specific characteristics of its synergistic metabolic response to decreased temperatures, particularly within the range of 13-15°C, remained elusive. In this study, we delve into the intricate carbon and nitrogen metabolism pathways of mixed-autotrophy/heterotrophy anammox consortia under conditions of temperature reduction. Our macrogenomic analyses reveal a compelling phenomenon: the stimulation of functional genes responsible for complete denitrification, suggesting an enhancement of this process during temperature reduction. This adaptation likely contributes to maintaining system performance amidst environmental challenges. Further metabolic functional recombination analyses highlight a dramatic shift in microbial community composition, with denitrifying MAGs (metagenome-assembled genomes) experiencing a substantial increase in abundance (up to 200 times) compared to autotrophic MAGs. This proliferation underscores the strong stimulatory effect of temperature reduction on denitrifying species. Notably, autotrophic MAGs play a pivotal role in supporting the glycolytic processes of denitrifying MAGs, underscoring the intricate interdependencies within the consortia. Moreover, metabolic variations in amino acid composition among core MAGs emerge as a crucial adaptation mechanism. These differences facilitate the preservation of enzyme activity and enhance the consortia's resilience to low temperatures. Together, these findings offer a comprehensive understanding of the microbial synergistic metabolism within mixed-autotrophy/heterotrophy anammox consortia under temperature reduction, shedding light on their metabolic flexibility and resilience in dynamic environments.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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