“…Furthermore, storm events represent a significant contribution to stream impairments, as they represent a majority of the bacterial discharge and fecal loading in a watershed (2)(3)(4)(5). Fecal contamination and pathogen concentrations above regulatory limits are predominant concerns of flood and runoff waters, and exposure to such waterborne pathogens has been shown to increase the potential for infection and accompanying health risks (6)(7)(8)(9)(10)(11)(12)(13)(14)(15). Rain and floodwater harbor a variety of human enteric pathogens, including Campylobacter, Cryptosporidium, Giardia, adenoviruses, polyomaviruses, and enteroviruses (16)(17)(18).…”
Bacterial community composition and longitudinal fluctuations were monitored in a riverine system during and after Superstorm Sandy to better characterize inter-and intracommunity responses associated with the disturbance associated with a 100-year storm event. High-throughput sequencing of the 16S rRNA gene was used to assess microbial community structure within water samples from Muddy Creek Run, a second-order stream in Huntingdon, PA, at 12 different time points during the storm event (29 October to 3 November 2012) and under seasonally matched baseline conditions. High-throughput sequencing of the 16S rRNA gene was used to track changes in bacterial community structure and divergence during and after Superstorm Sandy. Bacterial community dynamics were correlated to measured physicochemical parameters and fecal indicator bacteria (FIB) concentrations. Bioinformatics analyses of 2.1 million 16S rRNA gene sequences revealed a significant increase in bacterial diversity in samples taken during peak discharge of the storm. Beta-diversity analyses revealed longitudinal shifts in the bacterial community structure. Successional changes were observed, in which Betaproteobacteria and Gammaproteobacteria decreased in 16S rRNA gene relative abundance, while the relative abundance of members of the Firmicutes increased. Furthermore, 16S rRNA gene sequences matching pathogenic bacteria, including strains of Legionella, Campylobacter, Arcobacter, and Helicobacter, as well as bacteria of fecal origin (e.g., Bacteroides), exhibited an increase in abundance after peak discharge of the storm. This study revealed a significant restructuring of in-stream bacterial community structure associated with hydric dynamics of a storm event.
IMPORTANCEIn order to better understand the microbial risks associated with freshwater environments during a storm event, a more comprehensive understanding of the variations in aquatic bacterial diversity is warranted. This study investigated the bacterial communities during and after Superstorm Sandy to provide fine time point resolution of dynamic changes in bacterial composition. This study adds to the current literature by revealing the variation in bacterial community structure during the course of a storm. This study employed high-throughput DNA sequencing, which generated a deep analysis of inter-and intracommunity responses during a significant storm event. This study has highlighted the utility of applying high-throughput sequencing for water quality monitoring purposes, as this approach enabled a more comprehensive investigation of the bacterial community structure. Altogether, these data suggest a drastic restructuring of the stream bacterial community during a storm event and highlight the potential of high-throughput sequencing approaches for assessing the microbiological quality of our environment. M ore than 12,000 water bodies in the United States are considered to be impaired by fecal indicator bacteria (FIB), due to both point and nonpoint sources of pollution, according t...
“…Furthermore, storm events represent a significant contribution to stream impairments, as they represent a majority of the bacterial discharge and fecal loading in a watershed (2)(3)(4)(5). Fecal contamination and pathogen concentrations above regulatory limits are predominant concerns of flood and runoff waters, and exposure to such waterborne pathogens has been shown to increase the potential for infection and accompanying health risks (6)(7)(8)(9)(10)(11)(12)(13)(14)(15). Rain and floodwater harbor a variety of human enteric pathogens, including Campylobacter, Cryptosporidium, Giardia, adenoviruses, polyomaviruses, and enteroviruses (16)(17)(18).…”
Bacterial community composition and longitudinal fluctuations were monitored in a riverine system during and after Superstorm Sandy to better characterize inter-and intracommunity responses associated with the disturbance associated with a 100-year storm event. High-throughput sequencing of the 16S rRNA gene was used to assess microbial community structure within water samples from Muddy Creek Run, a second-order stream in Huntingdon, PA, at 12 different time points during the storm event (29 October to 3 November 2012) and under seasonally matched baseline conditions. High-throughput sequencing of the 16S rRNA gene was used to track changes in bacterial community structure and divergence during and after Superstorm Sandy. Bacterial community dynamics were correlated to measured physicochemical parameters and fecal indicator bacteria (FIB) concentrations. Bioinformatics analyses of 2.1 million 16S rRNA gene sequences revealed a significant increase in bacterial diversity in samples taken during peak discharge of the storm. Beta-diversity analyses revealed longitudinal shifts in the bacterial community structure. Successional changes were observed, in which Betaproteobacteria and Gammaproteobacteria decreased in 16S rRNA gene relative abundance, while the relative abundance of members of the Firmicutes increased. Furthermore, 16S rRNA gene sequences matching pathogenic bacteria, including strains of Legionella, Campylobacter, Arcobacter, and Helicobacter, as well as bacteria of fecal origin (e.g., Bacteroides), exhibited an increase in abundance after peak discharge of the storm. This study revealed a significant restructuring of in-stream bacterial community structure associated with hydric dynamics of a storm event.
IMPORTANCEIn order to better understand the microbial risks associated with freshwater environments during a storm event, a more comprehensive understanding of the variations in aquatic bacterial diversity is warranted. This study investigated the bacterial communities during and after Superstorm Sandy to provide fine time point resolution of dynamic changes in bacterial composition. This study adds to the current literature by revealing the variation in bacterial community structure during the course of a storm. This study employed high-throughput DNA sequencing, which generated a deep analysis of inter-and intracommunity responses during a significant storm event. This study has highlighted the utility of applying high-throughput sequencing for water quality monitoring purposes, as this approach enabled a more comprehensive investigation of the bacterial community structure. Altogether, these data suggest a drastic restructuring of the stream bacterial community during a storm event and highlight the potential of high-throughput sequencing approaches for assessing the microbiological quality of our environment. M ore than 12,000 water bodies in the United States are considered to be impaired by fecal indicator bacteria (FIB), due to both point and nonpoint sources of pollution, according t...
“…Epidemiology analysis will help the clinician, public health worker and policymaker to establish the risk factors for diseases in South-east Asia region. Risk analysis is also very crucial as well to assess the potential risk for each infectious disease [16].…”
“…The L. pneumophila concentration was based on a data array where only two samples were positive out of 10. The risk per event was lower than that resulting from exposure to splash parks that use rainwater as source water (de Man et al, 2014a). The duration of exposure was assumed higher for the water plaza than that observed in the splash parks.…”
Section: Health Risksmentioning
confidence: 99%
“…The microbial quality and/or health risks in rainwater have been assessed in various features such as pluvial flooding and runoff (de Man et al, 2014c;Sidhu et al, 2012;ten Veldhuis et al, 2010), splash parks that use rainwater (de Man et al, 2014a), or rainwater roof harvesting (RRH) containers (Ahmed et al, 2012a(Ahmed et al, , 2008(Ahmed et al, , 2010. Water plazas that collect roof and street run-off from a larger urban area are relatively new engineering concepts that combine stormwater storage with water recreation and their water quality and microbial risks have not been studied previously.…”
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