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This review discusses critically how seasonal changes might affect the community composition and dynamics of activated sludge wastewater treatment plants, and examines the factors thought more generally to control microbial community assembly, including the role of taxa–time relationships and stochastic and deterministic influences. The review also questions the differences in protocols used in these studies, which make any subsequent attempts at data comparisons problematic. These include bacterial DNA extraction and PCR methodologies, 16S rRNA sequencing and especially its depth, and subsequent statistical analyses of the data, which together often fail to reveal seasonal dynamic community shifts. Suggestions are given as to how experimental protocols need to be improved and standardized, and especially the requirement to examine bacterial populations at the species level. This review looks critically at what is known currently about seasonal influences on key members of this community, including viruses, the bacteria responsible for nitrogen and phosphorus removal and those causing bulking and foaming. The data show many of these species exhibit replicative seasonal abundances over several years, but not under all conditions, illustrating how complex these community dynamics are. Fungal and protozoal/metazoal seasonal community dynamics, less studied, are also discussed. The current data suggest that seasonal temperature fluctuations are responsible for most of the seasonal community dynamics by selectively favouring or otherwise individual populations. However, more longer term studies carried out under much stricter controlled conditions are required. [ABSTRACT FROM AUTHOR]

Characterization of microbial communities using high-throughput amplicon sequencing is an emerging approach for microbial source tracking of fecal pollution. This study used SourceTracker software to examine temporal and geographical variability of fecal bacterial community profiles to identify pollutant sources in three freshwater catchments in sub-tropical Australia. Fecal bacterial communities from 10 animal species, humans, and composite wastewater samples from six sewage treatment plants were characterized and compared to freshwater samples using Illumina amplicon sequencing of the V5–V6 regions of the 16S rRNA gene. Source contributions were calculated in SourceTracker using new fecal taxon libraries as well as previously generated libraries to determine the effects of geographic and temporal variability on source assignments. SourceTracker determined 16S rRNA bacterial communites within freshwater samples, shared taxonomic similarities to that of wastewater at low levels (typically <3%). SourceTraker also predicted occasional fecal detection of deer and flying fox sources in the water samples. No significant differences in source contributions were observed within sequences from current and previously characterized fecal samples (P ≥ 0.107). However, significant differences were observed between previously characterized and newly characterized source communities (ANOSIM P ≤ 0.001), which shared <15% community composition. Results suggest temporal instability of fecal taxon libraries among tested sources and highlight continual evaluation of community-based MST using confirmatory qPCR analyses of marker genes. Image 1 • 16S rRNA sequencing established microbial profiles of three catchments. • Sewage microbial communities showed low similarity to those of water samples. • Deer and flying fox fecal contamination were found in several samples. • Dog fecal contamination showed a greater contribution than did other sources. • Dog fecal taxon libraries showed the greatest temporal stability over the other source libraries examined. [ABSTRACT FROM AUTHOR]