The core anammox redox reaction system of 12 anammox bacterial genera and their evolution and application implications

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Pengfei Hu, Mark van Loosdrecht, Ji-Dong Gu, Yuchun Yang
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引用次数: 0

Abstract

Anaerobic ammonium-oxidation (anammox) is a typical redox reaction driven by membrane electron transformation. However, the electron transfer mechanism of the core redox reaction and its evolutionary origins are still not thoroughly identified. In this study, a preliminary analysis was conducted for such interaction based on the 64 anammox bacterial genomes representing 12 genera available currently. The results suggested that enzymes involved in anammox reaction share the similar catalytic and electron transfer modes in different lineages, while the electron-carrying proteins shuttled between membrane and soluble enzymes are very different. A comparatively simple electronic shuttle protein system was encoded in the early-branching groundwater lineages Candidatus (Ca.) Avalokitesvara and Ca. Tripitaka, which was replaced by a sophisticated electron carrier scheme in the late-branching marine and terrestrial groups within family Ca. Brocadiaceae. Remarkably, the increasing availability of nitrite after Great Oxidation Event (GOE) potentially drove the adaptive evolution of the core redox systems by successively recruiting the nitrite reductase (NIR) for nitrite balance, a stable complex of two small cytochrome c proteins (NaxL and NaxS homologues) for electron transfer to HZS, as well as optimizing the structure of nitrite oxidoreductase gamma (NxrC) for electron conservation. In particular, a tubule-inducing nitrite oxidoreductase subunit (NxrT homologue) was further formed for electron transformation after the Neoproterozoic Oxygenation Event (NOE). Finally, based on two full-scale anammox-based wastewater treatment systems (WWTPs), we identified core gene transcriptional activities affecting the abundance of the family Ca. Brocadiaceae and their association with environmental factors. Overall, our study not only provides key information for understanding the dynamic patterns and evolutionary mechanisms of the anammox reactions and the associated electron transfers in conjunction with major geological events, but also provides new insights for future enrichment and effective applications.
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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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