Mutagenicity of Walnut Creek and Troy (Alabama) Wastewater Treatment Plant Influent and Effluent

被引:3
|
作者
Whatley, Alicia [1 ]
Cho, In Ki [1 ]
机构
[1] Troy Univ, Dept Biol & Environm Sci, Troy, AL 36082 USA
关键词
SOS CHROMOTEST; GENOTOXICITY; TOXICITY;
D O I
10.1656/058.009.0308
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Samples from Walnut Creek, upstream of the Troy Wastewater Treatment Plant (TWWTP), and the influents to and effluents from the TWWTP were assayed for mutagenicity using the Salmonella typhimurium fluctuation test. Samples were prepared with metabolic activation (channel catfish S9 and rat S9 enzymes) and without using TA100 and TA98 strains of Salmonella. Results indicated that catfish S9 enzymes (FS9) were more capable of activating base-pair substitution mutagens in upstream samples than rat S9 enzymes (RS9). For influent samples, RS9 activated higher levels of base-pair and frameshift mutagens than FS9. The comparison of changes from influent to effluent samples showed a significant reduction in base-pair and no change in frameshift mutagens with FS9; conversely, no change in base-pair and a significant reduction in frameshift mutagens with RS9 were found. For direct-acting compounds (without enzymatic activation), a significant increase in frameshift mutations was found in effluent compared to influent, while no significant change was seen in base-pair substitutions. These results indicate that Walnut Creek contains both mutagenic and promutagenic compounds, and influents to TWWTF exhibit mutagenicity that may be refractory to or created by treatment processes. The generally higher mutagenicity ratios following RS9 activation vs. FS9, suggest that current toxicity studies in fish species and water quality requirements may be inadequate to assess the hazards of water resources that receive municipal wastewater treatment discharges and that may be habitat to both fish and mammalian wildlife and may eventually become sources for human exposures.
引用
收藏
页码:497 / 506
页数:10
相关论文
共 50 条
  • [1] Host range of antibiotic resistance genes in wastewater treatment plant influent and effluent
    Hultman, Jenni
    Tamminen, Manu
    Parnanen, Katariina
    Cairns, Johannes
    Karkman, Antti
    Virta, Marko
    FEMS MICROBIOLOGY ECOLOGY, 2018, 94 (04)
  • [2] Quantification of estrogen concentration in a creek receiving wastewater treatment plant effluent
    Adeyeye, Adebayo O.
    Laub, Brian G.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2020, 192 (07)
  • [3] Quantification of estrogen concentration in a creek receiving wastewater treatment plant effluent
    Adebayo O. Adeyeye
    Brian G. Laub
    Environmental Monitoring and Assessment, 2020, 192
  • [4] Triclosan in a North Texas wastewater treatment plant and the influent and effluent of an experimental constructed wetland
    Waltman, EL
    Venables, BJ
    Waller, WZ
    ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2006, 25 (02) : 367 - 372
  • [5] Molecular detection and genotyping of human noroviruses in influent and effluent water at a wastewater treatment plant in Japan
    Kitajima, M.
    Haramoto, E.
    Phanuwan, C.
    Katayama, H.
    Furumai, H.
    JOURNAL OF APPLIED MICROBIOLOGY, 2012, 112 (03) : 605 - 613
  • [6] Effects of Wastewater Treatment Plant Effluents on the Microbial Biomass and Community Structure of the Big Walnut Creek
    Atkinson, Sophia
    Luchmun, Hashleyna
    Akinwole, Philips
    FASEB JOURNAL, 2020, 34
  • [7] Application of water quality indices for assessment of influent and effluent wastewater from wastewater treatment plant of Oran City, Algeria
    Bessedik, Madani
    Abdelbaki, Cherifa
    Badr, Nadia
    Tiar, Sidi Mohamed
    Megnounif, Abdesselam
    DESALINATION AND WATER TREATMENT, 2021, 236 : 306 - 317
  • [8] Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and influent quality
    Pai, T. Y.
    Yang, P. Y.
    Wang, S. C.
    Lo, M. H.
    Chiang, C. F.
    Kuo, J. L.
    Chu, H. H.
    Su, H. C.
    Yu, L. F.
    Hu, H. C.
    Chang, Y. H.
    APPLIED MATHEMATICAL MODELLING, 2011, 35 (08) : 3674 - 3684
  • [9] Data Visualization of Influent and Effluent Parameters of UASB-based Wastewater Treatment Plant in Uttar Pradesh
    Yadav, Parul
    Chaudhary, Aditya
    Keshari, Anand
    Chaudhary, Nitish Kumar
    Sharma, Priyanshu
    Saurabh, Kumar
    Yadav, Brijesh Singh
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (02) : 598 - 606
  • [10] Data on pollutants content in the influent and effluent from wastewater treatment plant of Rasht in Guilan Province, Iran
    Dizgah, Salar Hosseinipour
    Taghavi, Kamran
    Jaafari, Jalil
    Roohbakhsh, Esmaeil
    Ashrafi, Seyed Davoud
    DATA IN BRIEF, 2018, 16 : 271 - 275