Ananda Tiwari1, Anna-Maria Hokajärvi2, Jorge Santo Domingo3, Michael Elk3,4, Balamuralikrishna Jayaprakash2, Hodon Ryu3, Sallamaari Siponen2, Asko Vepsäläinen2, Ari Kauppinen2,5, Osmo Puurunen6, Aki Artimo6, Noora Perkola7, Timo Huttula8, Ilkka T Miettinen2, Tarja Pitkänen2,9. 1. Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland. ananda.tiwari@thl.fi. 2. Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland. 3. Office of Research and Development, United States Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, OH, USA. 4. Pegasus Technical Services, Inc., Cincinnati, OH, USA. 5. Present address: Finnish Food Authority, Laboratory and Research Division, Virology Unit, Helsinki, Finland. 6. Turku Region Water Ltd., Turku, Finland. 7. Finnish Environment Institute (SYKE), Latokartanonkaari 11, 00790, Helsinki, Finland. 8. Finnish Environment Institute (SYKE), Survontie 9 A, Jyväskylä, Finland. 9. Faculty of Veterinary Medicine, Department Food Hygiene and Environmental Health, University of Helsinki, Helsinki, Finland.
Abstract
BACKGROUND: Rivers and lakes are used for multiple purposes such as for drinking water (DW) production, recreation, and as recipients of wastewater from various sources. The deterioration of surface water quality with wastewater is well-known, but less is known about the bacterial community dynamics in the affected surface waters. Understanding the bacterial community characteristics -from the source of contamination, through the watershed to the DW production process-may help safeguard human health and the environment. RESULTS: The spatial and seasonal dynamics of bacterial communities, their predicted functions, and potential health-related bacterial (PHRB) reads within the Kokemäenjoki River watershed in southwest Finland were analyzed with the 16S rRNA-gene amplicon sequencing method. Water samples were collected from various sampling points of the watershed, from its major pollution sources (sewage influent and effluent, industrial effluent, mine runoff) and different stages of the DW treatment process (pre-treatment, groundwater observation well, DW production well) by using the river water as raw water with an artificial groundwater recharge (AGR). The beta-diversity analysis revealed that bacterial communities were highly varied among sample groups (R = 0.92, p < 0.001, ANOSIM). The species richness and evenness indices were highest in surface water (Chao1; 920 ± 10) among sample groups and gradually decreased during the DW treatment process (DW production well; Chao1: 320 ± 20). Although the phylum Proteobacteria was omnipresent, its relative abundance was higher in sewage and industrial effluents (66-80%) than in surface water (55%). Phyla Firmicutes and Fusobacteria were only detected in sewage samples. Actinobacteria was more abundant in the surface water (≥13%) than in other groups (≤3%). Acidobacteria was more abundant in the DW treatment process (≥13%) than in others (≤2%). In total, the share of PHRB reads was higher in sewage and surface water than in the DW treatment samples. The seasonal effect in bacterial communities was observed only on surface water samples, with the lowest diversity during summer. CONCLUSIONS: The low bacterial diversity and absence of PHRB read in the DW samples indicate AGR can produce biologically stable and microbiologically safe drinking water. Furthermore, the significantly different bacterial communities at the pollution sources compared to surface water and DW samples highlight the importance of effective wastewater treatment for protecting the environment and human health.
BACKGROUND: Rivers and lakes are used for multiple purposes such as for drinking water (DW) production, recreation, and as recipients of wastewater from various sources. The deterioration of surface water quality with wastewater is well-known, but less is known about the bacterial community dynamics in the affected surface waters. Understanding the bacterial community characteristics -from the source of contamination, through the watershed to the DW production process-may help safeguard human health and the environment. RESULTS: The spatial and seasonal dynamics of bacterial communities, their predicted functions, and potential health-related bacterial (PHRB) reads within the Kokemäenjoki River watershed in southwest Finland were analyzed with the 16S rRNA-gene amplicon sequencing method. Water samples were collected from various sampling points of the watershed, from its major pollution sources (sewage influent and effluent, industrial effluent, mine runoff) and different stages of the DW treatment process (pre-treatment, groundwater observation well, DW production well) by using the river water as raw water with an artificial groundwater recharge (AGR). The beta-diversity analysis revealed that bacterial communities were highly varied among sample groups (R = 0.92, p < 0.001, ANOSIM). The species richness and evenness indices were highest in surface water (Chao1; 920 ± 10) among sample groups and gradually decreased during the DW treatment process (DW production well; Chao1: 320 ± 20). Although the phylum Proteobacteria was omnipresent, its relative abundance was higher in sewage and industrial effluents (66-80%) than in surface water (55%). Phyla Firmicutes and Fusobacteria were only detected in sewage samples. Actinobacteria was more abundant in the surface water (≥13%) than in other groups (≤3%). Acidobacteria was more abundant in the DW treatment process (≥13%) than in others (≤2%). In total, the share of PHRB reads was higher in sewage and surface water than in the DW treatment samples. The seasonal effect in bacterial communities was observed only on surface water samples, with the lowest diversity during summer. CONCLUSIONS: The low bacterial diversity and absence of PHRB read in the DW samples indicate AGR can produce biologically stable and microbiologically safe drinking water. Furthermore, the significantly different bacterial communities at the pollution sources compared to surface water and DW samples highlight the importance of effective wastewater treatment for protecting the environment and human health.
Authors: J Gregory Caporaso; Christian L Lauber; William A Walters; Donna Berg-Lyons; Catherine A Lozupone; Peter J Turnbaugh; Noah Fierer; Rob Knight Journal: Proc Natl Acad Sci U S A Date: 2010-06-03 Impact factor: 11.205
Authors: T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen Journal: Appl Environ Microbiol Date: 2006-07 Impact factor: 4.792
Authors: J Gregory Caporaso; Kyle Bittinger; Frederic D Bushman; Todd Z DeSantis; Gary L Andersen; Rob Knight Journal: Bioinformatics Date: 2009-11-13 Impact factor: 6.937
Authors: J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight Journal: Nat Methods Date: 2010-04-11 Impact factor: 28.547
Authors: Ananda Tiwari; David M Oliver; Aaron Bivins; Samendra P Sherchan; Tarja Pitkänen Journal: Int J Environ Res Public Health Date: 2021-05-21 Impact factor: 3.390