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

ZHENG Yuhan; SU Zhiguo; LI Feifei; YAO Pengcheng; WEN Donghui

doi:10.13205/j.hjgc.202309024

Volume 41 Issue 9

Sep. 2023

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(9): 194-200

ZHENG Yuhan, SU Zhiguo, LI Feifei, YAO Pengcheng, WEN Donghui. IMPACTS OF LAND-BASED WASTEWATER DISCHARGE ON MICROBIAL COMMUNITY COMPOSITION AND CARBON METABOLISM IN COASTAL EFFLUENT-RECEIVING AREAS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(9): 194-200. doi: 10.13205/j.hjgc.202309024

Citation:

ZHENG Yuhan, SU Zhiguo, LI Feifei, YAO Pengcheng, WEN Donghui. IMPACTS OF LAND-BASED WASTEWATER DISCHARGE ON MICROBIAL COMMUNITY COMPOSITION AND CARBON METABOLISM IN COASTAL EFFLUENT-RECEIVING AREAS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(9): 194-200. doi: 10.13205/j.hjgc.202309024

Citation:

ZHENG Yuhan, SU Zhiguo, LI Feifei, YAO Pengcheng, WEN Donghui. IMPACTS OF LAND-BASED WASTEWATER DISCHARGE ON MICROBIAL COMMUNITY COMPOSITION AND CARBON METABOLISM IN COASTAL EFFLUENT-RECEIVING AREAS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(9): 194-200. doi: 10.13205/j.hjgc.202309024

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

doi: 10.13205/j.hjgc.202309024

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

Received Date: 2023-07-13
Available Online: 2023-11-15

Abstract

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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References(27)

References

[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.