Phenotypic Discrimination and Characterization of Microbial Populations in Enhanced Biological Phosphorus Removal Using Single-Cell Raman Spectroscopy-Based Methods

IF 11.4 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
{"title":"Phenotypic Discrimination and Characterization of Microbial Populations in Enhanced Biological Phosphorus Removal Using Single-Cell Raman Spectroscopy-Based Methods","authors":"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","doi":"10.1016/j.watres.2025.123577","DOIUrl":null,"url":null,"abstract":"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 <em>in situ</em> hybridization (FISH) with Raman (FISH–Raman) and HCA, for the first time, revealed higher phenotypic microdiversity for <em>Tetrasphaera</em> and substantial differences in polyP peak position between <em>Tetrasphaera</em> and <em>Accumulibacter</em> cells. <em>Tetrasphaera</em> 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.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"73 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2025.123577","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

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.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信