Global WWTP Microbiome-based Integrative Information Platform:From experience to intelligence  

作　　者：Fuzhong Xiong Zhiguo Su Yushi Tang Tianjiao Dai Donghui Wen 

机构地区：[1]College of Environmental Sciences and Engineering,Peking University,Beijing,100871,China [2]School of Environment,Tsinghua University,Beijing,100084,China [3]Lewis-Sigler Institute for Integrative Genomics,Princeton University,Princeton,NJ,08544,USA [4]School of Water Resources and Environment,China University of Geosciences(Beijing),Beijing,100083,China

出　　处：《Environmental Science and Ecotechnology》2024年第4期6-13,共8页环境科学与生态技术（英文）

基　　金：financially supported by the National Natural Science Foundation of China(grant number 51938001,52170185,42007291,and 52070111);the China Postdoctoral Science Foundation(grant number 2022M721815).

摘　　要：Domestic and industrial wastewater treatment plants(WWTPs)are facing formidable challenges in effectively eliminating emerging pollutants and conventional nutrients.In microbiome engineering,two approaches have been developed:a top-down method focusing on domesticating seed microbiomes into engineered ones,and a bottom-up strategy that synthesizes engineered microbiomes from microbial isolates.However,these approaches face substantial hurdles that limit their real-world applicability in wastewater treatment engineering.Addressing this gap,we propose the creation of a Global WWTP Microbiome-based Integrative Information Platform,inspired by the untapped microbiome and engineering data fromWWTPs and advancements in artificial intelligence(AI).This open platform integrates microbiome and engineering information globally and utilizes AI-driven tools for identifying seed microbiomes for new plants,providing technical upgrades for existing facilities,and deploying microbiomes for accidental pollution remediation.Beyond its practical applications,this platform has significant scientific and social value,supporting multidisciplinary research,documenting microbial evolution,advancing Wastewater-Based Epidemiology,and enhancing global resource sharing.Overall,the platform is expected to enhance WWTPs’performance in pollution control,safeguarding a harmonious and healthy future for human society and the natural environment.

关 键 词：Wastewater treatment plants MICROBIOME Environmental engineering Information platform Artificial intelligence 

分 类 号：X703[环境科学与工程—环境工程]