Wastewater microbial community structure and functional traits change over short timescales

Guo, Bing; Liu, Chenxiao; Gibson, Claire; Frigon, Dominic

doi:10.1016/j.scitotenv.2019.01.207

Cited by 59 publications

(42 citation statements)

References 55 publications

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“…Using data from 269 WWTS in 23 countries on six continents, Wu et al [ 12 ] reported that activated sludge microbiomes are mostly freshwater populations. Guo et al [ 17 ] assessed the possible origins of wastewater microorganisms, including human feces and soil microorganisms. Ibarbalz et al [ 18 ] observed that each industrial activated sludge system exhibits a unique bacterial community composition.…”

Section: Resultsmentioning

confidence: 99%

Elucidate microbial characteristics in a full-scale treatment plant for offshore oil produced wastewater

et al. 2021

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Oil-produced wastewater treatment plants, especially those involving biological treatment processes, harbor rich and diverse microbes. However, knowledge of microbial ecology and microbial interactions determining the efficiency of plants for oil-produced wastewater is limited. Here, we performed 16S rDNA amplicon sequencing to elucidate the microbial composition and potential microbial functions in a full-scale well-worked offshore oil-produced wastewater treatment plant. Results showed that microbes that inhabited the plant were diverse and originated from oil and marine associated environments. The upstream physical and chemical treatments resulted in low microbial diversity. Organic pollutants were digested in the anaerobic baffled reactor (ABR) dominantly through fermentation combined with sulfur compounds respiration. Three aerobic parallel reactors (APRs) harbored different microbial groups that performed similar potential functions, such as hydrocarbon degradation, acidogenesis, photosynthetic assimilation, and nitrogen removal. Microbial characteristics were important to the performance of oil-produced wastewater treatment plants with biological processes.

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Section: Resultsmentioning

confidence: 99%

Elucidate microbial characteristics in a full-scale treatment plant for offshore oil produced wastewater

et al. 2021

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“…During the fermentation process, the structural evolution of microbial communities was accompanied by significant changes in the chemical profile ( An et al, 2020 ; Meng et al, 2021 ). High-throughput sequencing technology is developed to dissect microecological structures in several fields, such as food ( Wu et al, 2019 ), healthcare ( Fernanda et al, 2018 ), and environment ( Guo et al, 2019 ), and it is also a frontier technology for screening microorganisms in complex microbial fermentation system. Recently, high-throughput sequencing and metabolomics have been used to predict the key strains of fermentation by correlation analysis, but researchers also believe that the predicted key strains would include culture-dependent and culture-independent strains ( Xu et al, 2020 , 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Screening of Key Fungal Strains in the Fermentation Process of the Chinese Medicinal Preparation “Lianzhifan Solution” Based on Metabolic Profiling and High-Throughput Sequencing Technology

Xie

Yang

et al. 2021

Front. Microbiol.

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“Lianzhifan solution” (LZF) is produced by the natural fermentation of coptis root and gardenia fruit, and it is a classic prescription for external use in anorectal department. During the fermentation process, the structural evolution of microbial communities led to significant changes in the chemical profile. In this study, we first analyzed the dynamic changes of chemical components as well as the composition and succession of microbial community during the whole fermentation process of LZF, and confirmed the changes of characteristics of nine compounds during the whole fermentation process by metabolic profile. Further analysis found that there was no significant change of alkaloids in all stages of fermentation of LZF, but there were significant changes of iridoids in the middle and late stage of fermentation by deglycosylation. Genipin gentiobioside and geniposide were converted to genipin by biotransformation, showing that deglycosylation was the main event occurring in the fermentation. The community composition and abundance of species in 10 and 19days LZF fermentation broth were analyzed with high-throughput sequencing technology, and 16 dominant bacterial genera and 15 dominant fungal genera involved in the fermentation process were identified. Correlation analysis revealed that Penicillium expansum and Aspergillus niger involved in the fermentation were the dominant genera closely related to the dynamic changes of the deglycosylation of the main chemical components, and P. expansum YY-46 and A. niger YY-9 strains were obtained by the further fractionation. Then the monoculture fermentation process was evaluated, whereby we found that the deglycoside conversion rate of iridoid glycosides was greatly improved and the fermentation cycle was shortened by 3–4 times. This finding combined with equivalence evaluation of chemical component and pharmacodynamics to confirm that P. expansum YY-46 and A. niger YY-9 strains were key strains for fermentation concoction. This study established an efficient and practical screening strategy “Microfauna communities-Chemical component-Pharmacodynamic” axis for key strain, to improve the production process and formulating good manufacturing practice (GMP) work, and it is also applicable to the whole fermentation drugs industry.Graphical AbstractThe figure highly summarizes the research content of this study and shows the screening process of key strains in LZF fermentation.

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“…Composite and 24H flow-proportional sampling may be better than single grab sampling given that wastewater composition changes significantly over short timescales 44 and individual samples may be "flooded" by homogenous solid material 16 . However, several influent studies using grab-like composites with 2-3 sub-samples in quick succession, and non-influent studies using single grab samples, also demonstrated a human-wastewater AMR correlation.…”

Section: Discussionmentioning

confidence: 99%

Wastewater Surveillance of Antimicrobial Resistance in Human Populations: A Systematic Review

Chau¹,

Barker²,

Sims³

et al. 2020

Preprint

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Wastewater-based surveillance of antimicrobial resistance (AMR) may facilitate convenient monitoring of population-level AMR prevalence without the healthcare-associated bias and data collection restrictions inherent to clinically oriented systems. However, differences in study design and methodology likely contribute to differences in outcomes and interpretation, limiting reproducibility, reliability and meta-analysis. We therefore systematically reviewed studies using wastewater for AMR surveillance in human populations to identify optimal practices to detect wastewater-human AMR correlations. We evaluated 7,063 records and 174 full-text methods in a two-stage screen; 20 studies were included. Risk of bias assessment divided studies into high-risk (n=3), low-risk (n=3) and unclear-risk (n=14). Most studies detected wastewater-human AMR correlations (n=15) but only six studies identified statistically significant associations, most via culture-independent approaches (n=5). Genomic approaches also facilitated higher-resolution AMR monitoring whereas culture-based studies primarily undertook observational comparisons of specific organisms and phenotypic AMR profiles. Studies identifying wastewater-human AMR correlations were consistently associated with sampling wastewater influent irrespective of other methodological approaches. For longitudinal studies, a timeframe of >=6 months was similarly associated. Most influent studies identifying wastewater-human AMR correlations used composite (n=5) or flow-proportional wastewater sampling methods (n=4); however, grab sampling was commonest overall (n=6) and generally appeared similarly effective.Wastewater-based surveillance of AMR in human populations appears relatively robust, with most included studies reporting a correlation despite high diversity in study design and methodology. Our review supports sampling of wastewater influent using composite sampling (at a minimum) as a standard. Impacts of other methodological approaches are less clear; however, a minimum timeframe of six months for longitudinal studies, and increased sampling coverage for culture-independent studies to enable adequate biostatistical analyses appear sensible. As this relatively new field grows, more studies with clear wastewater-based population-level AMR surveillance aims are needed to better determine the impact of confounding features and validate comprehensive “best practice” protocols.

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Wastewater microbial community structure and functional traits change over short timescales

Cited by 59 publications

References 55 publications

Elucidate microbial characteristics in a full-scale treatment plant for offshore oil produced wastewater

Elucidate microbial characteristics in a full-scale treatment plant for offshore oil produced wastewater

Screening of Key Fungal Strains in the Fermentation Process of the Chinese Medicinal Preparation “Lianzhifan Solution” Based on Metabolic Profiling and High-Throughput Sequencing Technology

Wastewater Surveillance of Antimicrobial Resistance in Human Populations: A Systematic Review

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