Qiurui Zhang , Jitao Lv , Shiyang Yu , Tianyu Chen , Yue Sun , Feifei Li , Lu Bai , Xianwei Wang , Xiaosong He , Yong Nie , Nanwen Zhu , Yawei Wang , Guibin Jiang
{"title":"微生物介导的转化塑造了人为和自然共变条件下垃圾渗滤液的分子多样性","authors":"Qiurui Zhang , Jitao Lv , Shiyang Yu , Tianyu Chen , Yue Sun , Feifei Li , Lu Bai , Xianwei Wang , Xiaosong He , Yong Nie , Nanwen Zhu , Yawei Wang , Guibin Jiang","doi":"10.1016/j.watres.2025.124180","DOIUrl":null,"url":null,"abstract":"<div><div>Extensive landfill leachate from human activities is one of the most intractable liquid waste due to the presence of stubborn leachate dissolved organic matter (LDOM) and various pollutants. However, critical driving forces regarding LDOM complexity are still unclear. This study explores relationships between LDOM chemical composition, microbial community, anthropogenic factors and climate conditions based on national-scale landfill leachates in China. The results indicate that although landfill wastes originate from human emissions, microbes dominate molecular composition diversity of LDOM, followed by climate. To further elucidate the interlink between LDOM diversity and microbial communities, a two-stage network framework is established: first constructing molecular transformation networks to clarify humification and mineralization of LDOM, succeeded by building an interaction network that links definable reactions to microbial communities. Network analyses reveal that microorganisms promote accumulation of recalcitrant components in LDOM, weakening human-induced differences. Amino acid metabolism was particularly prominent in microbial-mediated transformation of LDOM, and the potential keystone microbial species are identified. This study deepens the understanding of the evolution of organic matters in landfills, also provides a new paradigm for exploring microbial mediated molecular transformation of DOM in both artificial and natural waters.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"286 ","pages":"Article 124180"},"PeriodicalIF":12.4000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microbial-mediated transformation shapes the molecular diversity of landfill leachate under anthropogenic and natural covariation\",\"authors\":\"Qiurui Zhang , Jitao Lv , Shiyang Yu , Tianyu Chen , Yue Sun , Feifei Li , Lu Bai , Xianwei Wang , Xiaosong He , Yong Nie , Nanwen Zhu , Yawei Wang , Guibin Jiang\",\"doi\":\"10.1016/j.watres.2025.124180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Extensive landfill leachate from human activities is one of the most intractable liquid waste due to the presence of stubborn leachate dissolved organic matter (LDOM) and various pollutants. However, critical driving forces regarding LDOM complexity are still unclear. This study explores relationships between LDOM chemical composition, microbial community, anthropogenic factors and climate conditions based on national-scale landfill leachates in China. The results indicate that although landfill wastes originate from human emissions, microbes dominate molecular composition diversity of LDOM, followed by climate. To further elucidate the interlink between LDOM diversity and microbial communities, a two-stage network framework is established: first constructing molecular transformation networks to clarify humification and mineralization of LDOM, succeeded by building an interaction network that links definable reactions to microbial communities. Network analyses reveal that microorganisms promote accumulation of recalcitrant components in LDOM, weakening human-induced differences. Amino acid metabolism was particularly prominent in microbial-mediated transformation of LDOM, and the potential keystone microbial species are identified. This study deepens the understanding of the evolution of organic matters in landfills, also provides a new paradigm for exploring microbial mediated molecular transformation of DOM in both artificial and natural waters.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"286 \",\"pages\":\"Article 124180\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0043135425010875\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135425010875","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}
Microbial-mediated transformation shapes the molecular diversity of landfill leachate under anthropogenic and natural covariation
Extensive landfill leachate from human activities is one of the most intractable liquid waste due to the presence of stubborn leachate dissolved organic matter (LDOM) and various pollutants. However, critical driving forces regarding LDOM complexity are still unclear. This study explores relationships between LDOM chemical composition, microbial community, anthropogenic factors and climate conditions based on national-scale landfill leachates in China. The results indicate that although landfill wastes originate from human emissions, microbes dominate molecular composition diversity of LDOM, followed by climate. To further elucidate the interlink between LDOM diversity and microbial communities, a two-stage network framework is established: first constructing molecular transformation networks to clarify humification and mineralization of LDOM, succeeded by building an interaction network that links definable reactions to microbial communities. Network analyses reveal that microorganisms promote accumulation of recalcitrant components in LDOM, weakening human-induced differences. Amino acid metabolism was particularly prominent in microbial-mediated transformation of LDOM, and the potential keystone microbial species are identified. This study deepens the understanding of the evolution of organic matters in landfills, also provides a new paradigm for exploring microbial mediated molecular transformation of DOM in both artificial and natural waters.
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.