基于单细胞拉曼光谱的生物除磷微生物种群的表型鉴别和表征

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Jiayu Bi , Ricardo Marques , Dongqi Wang , Lu Qin , Kylie Close , Guangyu Li , Zijian Leo Wang , Nicholas B. Tooker , Varun Srinivasan , Annalisa Onnis-Hayden , Adrian Oehmen , April Z. Gu
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引用次数: 0

摘要

单细胞拉曼光谱(SCRS)代表了一种非侵入性、权宜之计和无标记的策略,用于研究单个细胞的分子组成。在这项研究中,我们应用SCRS对增强生物除磷(EBPR)系统中的聚磷(polyP)积累生物(PAOs)和糖原积累生物(GAOs)进行定性和定量分析,从而实现基于代谢特性的分析和表型分类。SCRS分析揭示了代谢活跃的EBPR群体的不同代谢谱,包括未知的GAOs和进行GAO代谢的PAOs。SCRS定量的细胞内聚合物的动力学与体积测量高度相关,同时也提供了额外的代谢信息。SCRS分析结合碳投料批量试验和层次聚类分析(HCA),可以对具有不同碳代谢和拉曼光谱特征(如特征峰移位、整个指纹区域)的枝级PAO/GAO亚群进行表型分类。荧光原位杂交(FISH)与拉曼(FISH - Raman)和HCA的结合首次揭示了Tetrasphaera的表型微多样性以及Tetrasphaera和Accumulibacter细胞之间polyP峰位置的显著差异。Tetrasphaera PG1具有高息肉p含量的特征,可能属于进化支系2或3的成员,被确定为侧流EBPR系统的主要贡献者。这些发现为了解EBPR系统中微生物的代谢过程和生长动力学提供了新的见解,为破译复杂EBPR群落中PAO/GAO群体的微多样性和代谢行为提供了重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Phenotypic discrimination and characterization of microbial populations in enhanced biological phosphorus removal using single-cell raman spectroscopy-based methods

Phenotypic discrimination and characterization of microbial populations in enhanced biological phosphorus removal using single-cell raman spectroscopy-based methods

Phenotypic discrimination and characterization of microbial populations in enhanced biological phosphorus removal using single-cell raman spectroscopy-based methods
Single-cell Raman spectroscopy (SCRS) represents a non-invasive, expedient, and label-free strategy for investigating the molecular composition of individual cells. In this study, we applied SCRS to perform qualitative and quantitative analyses of polyphosphate (polyP) accumulating organisms (PAOs) and glycogen accumulating organisms (GAOs) within enhanced biological phosphorus removal (EBPR) systems, enabling their metabolic trait-based profiling and phenotypic classification. SCRS analysis revealed diverse metabolic profiles of metabolically active EBPR populations including unknown GAOs and PAOs performing GAO metabolism. The dynamics of intracellular polymers quantified by SCRS were highly correlated with bulk measurements, while also providing additional metabolic information. SCRS analysis, combined with carbon feeding batch tests and hierarchical clustering analysis (HCA), could phenotypically classify clade-level PAO/GAO subpopulations with distinct carbon metabolisms and Raman spectral features (e.g., shift in signature peak, whole fingerprint region). The combination of fluorescence in situ hybridization (FISH) with Raman (FISH–Raman) and HCA, for the first time, revealed higher phenotypic microdiversity for Tetrasphaera and substantial differences in polyP peak position between Tetrasphaera and Accumulibacter cells. Tetrasphaera PG1, characterized by high polyP content and potentially belonging to members of clade 2 or 3, was identified as a primary contributor in a side-stream EBPR system. These findings offer novel insights into the metabolic processes and growth dynamics of microorganisms within EBPR systems, providing a critical tool for deciphering the microdiversity and metabolic behaviors of PAO/GAO populations in complex EBPR communities.
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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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