Integrating network and in-silico simulation insights into the ecological interactions shaped by carbon sources in partial denitrification and anammox system

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-05-15 Epub Date: 2025-02-05 DOI:10.1016/j.watres.2025.123246
Depeng Wang , Jialei Li , Yujie Zhang , Xinchun Ding , Wuqiang Wang , Kailong Huang , Xu-Xiang Zhang
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Abstract

The underlying ecological mechanism of microbial communities shaped by carbon source in partial denitrification and anammox (PDA) systems remains poorly understood, despite the potential of multiple carbon sources to support the partial denitrification process. Herein, the integrated network and in-silico simulation methods were used to evaluate the considerable impact of carbon sources on the dynamics of ecological interactions. The fluctuation of carbon source (from acetate to glucose and ethanol) significantly destabilized the performance of PDA system (total nitrogen removal efficiency decreased from 96.8% to 69.1%). Glucose simultaneously altered the composition of denitrifying bacteria, resulting in a significant enrichment of the genus Elstera (from 0% to 12.7%). By contrast, genus Thauera re-dominated for partial denitrification with ethanol as carbon source. Importantly, heterotrophic bacteria (e.g., genus Calditrichia) gradually enriched by utilizing ethanol. The presence of acetate in phase IV further enhanced the competitive advantage of heterotrophic bacteria over denitrifying bacteria, thereby resulting in the deteriorated performance of the PDA system. The in-silico simulation of co-culture further revealed that the overgrowth of auxotrophic species Calditrichia utilized amounts of nutrients and limited other functional bacteria. Additionally, the whole co-occurrence network indicated that positive interactions likely improved the adaptability of anammox bacteria under the unsteady conditions. This study provides profound insights into the ecological interactions shaped by carbon sources in PDA systems and underscores the necessity of comprehensive review of the external carbon source to ensure optimal performance.

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在部分反硝化和厌氧氨氧化系统中碳源形成的生态相互作用中整合网络和硅模拟见解
尽管存在多种碳源支持部分反硝化过程的潜力,但对部分反硝化和厌氧氨氧化(PDA)系统中由碳源形成的微生物群落的潜在生态机制仍知之甚少。本文采用集成网络和计算机模拟的方法来评估碳源对生态相互作用动态的重要影响。碳源的波动(从乙酸到葡萄糖和乙醇)显著影响了PDA系统的性能(总氮去除率从96.8%下降到69.1%)。葡萄糖同时改变了反硝化细菌的组成,导致Elstera属的显著富集(从0%到12.7%)。相反,以乙醇为碳源的部分反硝化作用中,Thauera属再次占主导地位。重要的是,异养细菌(如Calditrichia属)通过利用乙醇逐渐富集。IV期乙酸的存在进一步增强了异养菌相对于反硝化菌的竞争优势,从而导致PDA系统性能恶化。共培养的计算机模拟进一步揭示了营养不良菌Calditrichia的过度生长利用了大量的营养物质,限制了其他功能细菌。此外,整个共生网络表明,正相互作用可能提高厌氧氨氧化菌在不稳定条件下的适应性。本研究对PDA系统中碳源形成的生态相互作用提供了深刻的见解,并强调了对外部碳源进行全面审查以确保最佳性能的必要性。
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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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