TY - JOUR A1 - Numberger, Daniela A1 - Ganzert, Lars A1 - Zoccarato, Luca A1 - Mühldorfer, Kristin A1 - Sauer, Sascha A1 - Grossart, Hans-Peter A1 - Greenwood, Alex D. T1 - Characterization of bacterial communities in wastewater with enhanced taxonomic resolution by full-length 16S rRNA sequencing JF - Scientific reports N2 - Wastewater treatment is crucial to environmental hygiene in urban environments. However, wastewater treatment plants (WWTPs) collect chemicals, organic matter, and microorganisms including pathogens and multi-resistant bacteria from various sources which may be potentially released into the environment via WWTP effluent. To better understand microbial dynamics in WWTPs, we characterized and compared the bacterial community of the inflow and effluent of a WWTP in Berlin, Germany using full-length 16S rRNA gene sequences, which allowed for species level determination in many cases and generally resolved bacterial taxa. Significantly distinct bacterial communities were identified in the wastewater inflow and effluent samples. Dominant operational taxonomic units (OTUs) varied both temporally and spatially. Disease associated bacterial groups were efficiently reduced in their relative abundance from the effluent by the WWTP treatment process, except for Legionella and Leptospira species which demonstrated an increase in relative proportion from inflow to effluent. This indicates that WWTPs, while effective against enteric bacteria, may enrich and release other potentially pathogenic bacteria into the environment. The taxonomic resolution of full-length 16S rRNA genes allows for improved characterization of potential pathogenic taxa and other harmful bacteria which is required to reliably assess health risk. Y1 - 2019 U6 - https://doi.org/10.1038/s41598-019-46015-z SN - 2045-2322 VL - 9 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Hoke, Alexa A1 - Woodhouse, Jason Nicholas A1 - Zoccarato, Luca A1 - McCarthy, Valerie A1 - de Eyto, Elvira A1 - Caldero-Pascual, Maria A1 - Geffroy, Ewan A1 - Dillane, Mary A1 - Grossart, Hans-Peter A1 - Jennings, Eleanor T1 - Impacts of extreme weather events on bacterial community composition of a temperate humic lake JF - Water N2 - Extreme weather events are projected to increase in frequency and intensity as climate change continues. Heterotrophic bacteria play a critical role in lake ecosystems, yet little research has been done to determine how they are affected by such extremes. The purpose of this study was to use high-throughput sequencing to explore the bacterial community composition of a humic oligotrophic lake on the North Atlantic Irish coast and to assess the impacts on composition dynamics related to extreme weather events. Samples for sequencing were collected from Lough Feeagh on a fortnightly basis from April to November 2018. Filtration was used to separate free-living and particle-associated bacterial communities and amplicon sequencing was performed for the 16S rRNA V4 region. Two named storms, six high discharge events, and one drought period occurred during the sampling period. These events had variable, context-dependent effects on bacterial communities in Lough Feeagh. The particle-associated community was found to be more likely to respond to physical changes, such as mixing, while the free-living population responded to changes in nutrient and carbon concentrations. Generally, however, the high stability of the bacterial community observed in Lough Feeagh suggests that the bacterial community is relatively resilient to extreme weather events. KW - extreme weather event KW - storm KW - drought KW - bacteria KW - free-living KW - particle-associated KW - humic lake Y1 - 2020 U6 - https://doi.org/10.3390/w12102757 SN - 2073-4441 VL - 12 IS - 10 PB - MDPI CY - Basel ER - TY - JOUR A1 - Fasching, Christina A1 - Akotoye, Christian A1 - Bižić, Mina A1 - Fonvielle, Jeremy Andre A1 - Ionescu, Danny A1 - Mathavarajah, Sabateeshan A1 - Zoccarato, Luca A1 - Walsh, David A. A1 - Grossart, Hans-Peter A1 - Xenopoulos, Marguerite A. T1 - Linking stream microbial community functional genes to dissolved organic matter and inorganic nutrients JF - Limnology and oceanography N2 - There is now increasing evidence for the importance of microbial regulation of biogeochemical cycling in streams. Resource availability shapes microbial community structure, but less is known about how landscape-mediated availability of nutrients and carbon can control microbial functions in streams. Using comparative metagenomics, we examined the relationship between microbial functional genes and composition of dissolved organic matter (DOM), nutrients, and suspended microbial communities in 11 streams, divided into three groups based on the predominant land cover category (agriculture, forested, or wetland). Using weighted gene co-occurrence network analysis, we identified clusters of functions related to DOM composition, agricultural land use, and/or wetland and forest land cover. Wetland-dominated streams were characterized by functions related to nitrogen metabolism and processing of aromatic carbon compounds, with strong positive correlations with dissolved organic carbon concentration and DOM aromaticity. Forested streams were characterized by metabolic functions related to monomer uptake and carbohydrates, such as mannose and fructose metabolism. In agricultural streams, microbial functions were correlated with more labile, protein-like DOM, PO4, and NO3, likely reflecting functional adaptation to labile DOM and higher nutrient concentrations. Distinct changes in the functional composition and loss of functional diversity of microorganisms became evident when comparing natural to agricultural catchments. Although all streams showed signs of functional redundancy, loss of species richness per function in agricultural catchments suggests that microbial functions in natural catchments may be more resilient to disturbance. Our results provide new insight into microbial community functions involved in nutrient and carbon biogeochemical cycles and their dependence on specific environmental settings. Y1 - 2019 U6 - https://doi.org/10.1002/lno.11356 SN - 0024-3590 SN - 1939-5590 VL - 65 SP - S71 EP - S87 PB - Wiley CY - Hoboken ER -