陆源排水对近海纳污区微生物群落组成及碳代谢功能的影响

郑宇涵; 苏志国; 李菲菲; 姚鹏城; 温东辉

doi:10.13205/j.hjgc.202309024

陆源排水对近海纳污区微生物群落组成及碳代谢功能的影响

doi: 10.13205/j.hjgc.202309024

1. 北京大学环境科学与工程学院, 北京 100871;
2. 清华大学环境学院, 北京 100084;
3. 浙江省水利河口研究院/浙江省海洋规划设计研究院, 杭州 310012

基金项目:

国家自然科学基金项目（51938001，52170185，52200227）；中国博士后科学基金项目（2022M721815）

详细信息

作者简介:
郑宇涵(1992-),男,博士研究生,主要研究方向为环境微生物学。zhengyh@stu.pku.edu.cn

通讯作者:
温东辉(1967-),女,教授,主要研究方向为水污染控制与环境生物技术。dhwen@pku.edu.cn

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出版历程
- 收稿日期: 2023-07-13
- 网络出版日期: 2023-11-15

IMPACTS OF LAND-BASED WASTEWATER DISCHARGE ON MICROBIAL COMMUNITY COMPOSITION AND CARBON METABOLISM IN COASTAL EFFLUENT-RECEIVING AREAS

1. College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;
2. School of Environment, Tsinghua University, Beijing 100084, China;
3. Zhejiang Institute of Hydraulics and Estuary/Zhejiang Institute of Marine Planning and Design, Hangzhou 310012, China

摘要

摘要: 随着现代城市和工商业的快速发展，污水处理厂成为保护水环境的重要设施，然而污水处理厂的尾水排放仍然对受纳水体产生不利影响。沿海地区的污水处理厂长期将尾水排入近海，引起海水水质变差，但是近海环境微生物对污染的响应尚不清晰。选择我国污染形势严峻的杭州湾北岸、南岸各1片纳污区（简称JX和SY）为研究对象，进行环境质量调查，并对沉积物微生物群落进行宏基因组测序，分析不同类型的废水排放对纳污区微生物群落结构和功能的潜在影响。研究结果表明，陆源废水排放对纳污区沉积物的微生物群落产生影响。JX和SY群落的物种组成和多样性存在差异，造成这种差异的关键环境因子为水中COD以及水深；JX和SY群落的碳代谢功能也存在差异，JX群落中与甲烷代谢相关的功能基因丰度更高，而SY群落中与糖异生途径相关的功能基因丰度更高，主要影响因子为水中COD和沉积物中TOC及石油类。上述结果对纳污海域的环境管理具有重要意义，并为完善污水处理厂排放标准提供了科学依据。
- 微生物群落 /
- 宏基因组 /
- 污水处理厂 /
- 近海纳污区 /
- 碳代谢
Abstract: With the rapid development of modern cities and industrialization, wastewater treatment plants (WWTPs) have become essential facilities for protecting water environments. However, the tailwater discharged from a WWTP still has adverse effects on the effluent-receiving area (ERA). Long-term discharge of WWTP effluents into coastal areas has led to deteriorating seawater quality, but the response of coastal microbial communities is not yet well understood. This study chose two ERAs, named as JX and SY respectively, on the north and south coast of Hangzhou Bay, China, as the study areas. Environmental quality surveys were conducted, and microbial communities in sediment were analyzed using metagenomic sequencing to assess the potential impacts of wastewater discharge on microbial community structures and functions. The results indicated that land-based discharge had impacts on microbial communities in the sediment of the ERAs. JX and SY exhibited distinct community compositions, with key environmental factors being water chemical oxygen demand (COD) and water depth. Functional differences were also observed between the two ERAs, particularly in carbon metabolism. In JX, differential genes related to methane metabolism were found; while in SY, differential genes related to sugar fermentation pathways were identified. Water COD and sediment total organic carbon (TOC) and petroleum compounds were identified as the major influence factors. These findings are of great importance for the environmental management of ERA and provide scientific reference for improving the discharge standards of WWTP.
- microbial community /
- metagenomics /
- wastewater treatment plant (WWTP) /
- coastal effluent-receiving area (ERA) /
- carbon metabolism

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参考文献(27)

[1]	LI Y, LIN C, WANG Y, et al. Multi-criteria evaluation method for site selection of industrial wastewater discharge in coastal regions[J]. Journal of Cleaner Production, 2017, 161:1143-1152.
[2]	MAJED N, ISLAM M A S. Contaminant discharge from outfalls and subsequent aquatic ecological risks in the River Systems in Dhaka City:extent of waste load contribution in pollution[J]. Frontiers in Public Health, 2022, 10.
[3]	ZHANG Y, CHEN L, SUN R, et al. Effect of wastewater disposal on the bacterial and archaeal community of sea sediment in an industrial area in China[J]. FEMS Microbiology Ecology, 2014, 88(2):320-332.
[4]	ZHENG Y, SU Z, DAI T, et al. Identifying human-induced influence on microbial community:a comparative study in the effluent-receiving areas in Hangzhou Bay[J]. Frontiers of Environmental Science & Engineering, 2019, 13(6):90.
[5]	ZHANG Y, CHEN L, SUN R, et al. Temporal and spatial changes of microbial community in an industrial effluent receiving area in Hangzhou Bay[J]. Journal of Environmental Sciences, 2016, 44:57-68.
[6]	DAI T, ZHANG Y, TANG Y, et al. Identifying the key taxonomic categories that characterize microbial community diversity using full-scale classification:a case study of microbial communities in the sediments of Hangzhou Bay[J]. FEMS Microbiology Ecology, 2017(1):93.
[7]	苏志国, 陈伟东, 郑宇涵, 等. 基于宏基因组学解析不同污水处理系统的耐药基因组分布特征和传播机制[J]. 生态毒理学报,2023,18(2):1-13.
[8]	郑宇涵. 杭州湾纳污区微生物群落对陆源排污的响应研究[D].北京:中国地质大学(北京), 2019.
[9]	ZHANG Y, CHEN L, SUN R, et al. Population and diversity of ammonia-oxidizing archaea and bacteria in a pollutants' receiving area in Hangzhou Bay[J]. Applied Microbiology and Biotechnology, 2016, 100(13):6035-6045.
[10]	DAI T, SU Z, ZENG Y, et al. Wastewater treatment plant effluent discharge decreases bacterial community diversity and network complexity in urbanized coastal sediment[J]. Environmental Pollution, 2023, 322:121122.
[11]	鲍士旦. 土壤农化分析[M]. 北京:中国农业出版社, 2000.
[12]	SU Z, WEN D, GU A Z, et al. Industrial effluents boosted antibiotic resistome risk in coastal environments[J]. Environment International, 2023, 171:107714.
[13]	LI D, LIU C M, LUO R, et al. MEGAHIT:an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph[J]. Bioinformatics, 2015, 31(10):1674-1676.
[14]	WOOD D E, LU J, LANGMEAD B. Improved metagenomic analysis with Kraken 2[J]. Genome Biology, 2019, 20(1):257.
[15]	SEEMANN T. Prokka:rapid prokaryotic genome annotation[J]. Bioinformatics, 2014, 30(14):2068-2069.
[16]	FU L, NIU B, ZHU Z, et al. CD-HIT:accelerated for clustering the next-generation sequencing data[J]. Bioinformatics, 2012, 28(23):3150-3152.
[17]	PATRO R, DUGGAL G, LOVE M I, et al. Salmon provides fast and bias-aware quantification of transcript expression[J]. Nature Methods, 2017, 14(4):417-419.
[18]	BASHAN A, GIBSON T E, FRIEDMAN J, et al. Universality of human microbial dynamics[J]. Nature, 2016, 534(7606):259-262.
[19]	SU Z, DAI T, TANG Y, et al. Sediment bacterial community structures and their predicted functions implied the impacts from natural processes and anthropogenic activities in coastal area[J]. Marine Pollution Bulletin, 2018, 131:481-495.
[20]	LIU D, ZHENG Y, CHEN L, et al. Prevalence of small-sized microplastics in coastal sediments detected by multipoint confocal micro-Raman spectrum scanning[J]. Science of the Total Environment, 2022. DOI: 10.1016/j.scitotenv.2022.154741.
[21]	DAI T, WEN D, BATES C T, et al. Nutrient supply controls the linkage between species abundance and ecological interactions in marine bacterial communities[J]. Nature Communications, 2022, 13(1):175.
[22]	NICHOLSON W L, MUNAKATA N, Horneck G, et al. Resistance of bacillus endospores to extreme terrestrial and extraterrestrial environments[J]. Microbiology and Molecular Biology Reviews, 2000, 64(3):548-572.
[23]	MCKENNEY P T, DRIKS A, EICHENBERGER P. The Bacillus subtilis endospore:assembly and functions of the multilayered coat[J]. Nature Reviews Microbiology, 2013, 11(1):33-44.
[24]	ZHU W, ZHU M, LIU X, et al. Adaptive changes of coral Galaxea fascicularis holobiont in response to nearshore stress[J]. Frontiers in Microbiology, 2022, 13.
[25]	REEBURGH W S. Oceanic methane biogeochemistry[J]. Chemical Reviews, 2007, 107(2):486-513.
[26]	WU X, WANG J, AMANZE C, et al. Exploring the dynamic of microbial community and metabolic function in food waste composting amended with traditional Chinese medicine residues[J]. Journal of Environmental Management, 2022, 319:115765.
[27]	颉亚玮. 杭州湾可吸附有机卤素污染溯源和源减排工艺研究[D].北京:清华大学, 2017.