The interaction between extracellular polymeric substances and corrosion products in pipes shaped different bacterial communities and the effects of micropollutants

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Hong Yin , Haibo Wang , Min Wang , Baoyou Shi
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Abstract

There are growing concerns over the effects of micropollutants on biofilms formation and antibiotic resistance gene (ARGs) transmission in drinking water distribution pipes. However, there was no reports about the influence of the interaction between extracellular polymeric substances (EPS) and corrosion products on biofilms formation. Our results indicated that the abundance of quorum sensing (QS)-related genes, polysaccharide and amino acids biosynthesis genes of EPS was 6747–8055 TPM, 2221–2619 TPM, and 1461–1535 TPM in biofilms of cast iron pipes, respectively, which were higher than that of stainless steel pipes. The two-dimensional correlation spectroscopy (2D-COS) analysis of attenuated total reflectance–Fourier transform infrared spectrometry (ATR–FTIR) results indicated that polysaccharide of EPS was more easily adsorbed onto the corrosion products of cast iron pipes. Therefore, more human pathogenic bacteria (HPB) carrying ARGs were formed in biofilms of cast iron pipes. The amide I and amide II components and phosphate moieties of EPS were more susceptible to the corrosion products of stainless steel pipes. Thus, more bacteria genera carrying mobile genetic elements (MGE)-ARG were formed in biofilms of stainless steel pipes due to more abundance of QS-related genes, amino acids biosynthesis genes of EPS and the functional genes related to lipid metabolism. The enrichment of dimethyl phthalate (DMP), perfluorooctanoic acid (PFOA) and sulfadiazine (SUL) in corrosion products induced upregulation of QS and EPS-related genes, which promoted bacteria carrying different ARGs growth in biofilms, inducing more microbial risks.

Abstract Image

不同细菌群落形成的管道中细胞外聚合物与腐蚀产物的相互作用及微污染物的影响
人们越来越担心微污染物对饮用水分配管道中生物膜形成和抗生素抗性基因(ARGs)传播的影响。然而,没有关于细胞外聚合物(EPS)和腐蚀产物之间的相互作用对生物膜形成的影响的报道。我们的结果表明,在铸铁管的生物膜中,EPS的群体感应(QS)相关基因、多糖和氨基酸生物合成基因的丰度分别为6747–8055 TPM、2221–2619 TPM和1461–1535 TPM,高于不锈钢管。衰减全反射傅立叶变换红外光谱(ATR-FTIR)结果的二维相关光谱(2D-COS)分析表明,EPS的多糖更容易吸附在铸铁管道的腐蚀产物上。因此,在铸铁管道的生物膜中形成了更多携带ARGs的人类致病菌(HPB)。EPS的酰胺I和酰胺II组分以及磷酸盐部分更容易受到不锈钢管腐蚀产物的影响。因此,由于更多的QS相关基因、EPS的氨基酸生物合成基因和与脂质代谢相关的功能基因,在不锈钢管的生物膜中形成了更多携带可移动遗传元素(MGE)-ARG的细菌属。腐蚀产物中邻苯二甲酸二甲酯(DMP)、全氟辛酸(PFOA)和磺胺嘧啶(SUL)的富集诱导了QS和EPS相关基因的上调,这促进了携带不同ARGs的细菌在生物膜中生长,引发了更多的微生物风险。
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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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