Zhaoxia Li , Sainan Luo , Xuan Li , Tianming Chen , Weixing Ma , Liqiang Cui , Songnian Hu , Cheng Ding , Jianing Geng
{"title":"Influence of irrigation with pulp and paper mill wastewater on bacterial communities of reed fields","authors":"Zhaoxia Li , Sainan Luo , Xuan Li , Tianming Chen , Weixing Ma , Liqiang Cui , Songnian Hu , Cheng Ding , Jianing Geng","doi":"10.1016/j.eti.2024.103925","DOIUrl":null,"url":null,"abstract":"<div><div>The impact of wastewater on the ecological functioning of constructed wetland systems can be assessed by analyzing the microbial diversity, profiling, and community structure of soils irrigated with wastewater. In this study, we utilized in situ, culture-independent 16S rRNA sequencing technology to comprehensively investigate the biodiversity, abundance, and structure of bacterial communities in reed field soils irrigated with pretreated pulp and paper wastewater (PPW) and freshwater. Our results revealed significant differences in bacterial communities across freshwater-irrigated wetlands, short-term wastewater-irrigated wetlands, and long-term wastewater-irrigated wetlands. Redundancy analysis and Spearman's correlation analysis demonstrated that soil pollutants (TX and AOX), nutrients (TN and TP), and heavy metals significantly influenced the microbial community structure. These findings underscore the importance of microbial monitoring and suggest that irrigation should be discontinued after 10 years to facilitate the recovery of wetland ecosystems.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103925"},"PeriodicalIF":6.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Technology & Innovation","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352186424004012","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The impact of wastewater on the ecological functioning of constructed wetland systems can be assessed by analyzing the microbial diversity, profiling, and community structure of soils irrigated with wastewater. In this study, we utilized in situ, culture-independent 16S rRNA sequencing technology to comprehensively investigate the biodiversity, abundance, and structure of bacterial communities in reed field soils irrigated with pretreated pulp and paper wastewater (PPW) and freshwater. Our results revealed significant differences in bacterial communities across freshwater-irrigated wetlands, short-term wastewater-irrigated wetlands, and long-term wastewater-irrigated wetlands. Redundancy analysis and Spearman's correlation analysis demonstrated that soil pollutants (TX and AOX), nutrients (TN and TP), and heavy metals significantly influenced the microbial community structure. These findings underscore the importance of microbial monitoring and suggest that irrigation should be discontinued after 10 years to facilitate the recovery of wetland ecosystems.
期刊介绍:
Environmental Technology & Innovation adopts a challenge-oriented approach to solutions by integrating natural sciences to promote a sustainable future. The journal aims to foster the creation and development of innovative products, technologies, and ideas that enhance the environment, with impacts across soil, air, water, and food in rural and urban areas.
As a platform for disseminating scientific evidence for environmental protection and sustainable development, the journal emphasizes fundamental science, methodologies, tools, techniques, and policy considerations. It emphasizes the importance of science and technology in environmental benefits, including smarter, cleaner technologies for environmental protection, more efficient resource processing methods, and the evidence supporting their effectiveness.