scholarly journals Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting

mSystems ◽  
2021 ◽  
Author(s):  
Jasmine Heyse ◽  
Florian Schattenberg ◽  
Peter Rubbens ◽  
Susann Müller ◽  
Willem Waegeman ◽  
...  
Keyword(s):  
Microbial Community ◽  
Community Composition ◽  
High Throughput ◽  
Microbial Community Composition ◽  
Amplicon Sequencing ◽  
Management Research ◽  
Flow Cytometric ◽  
Through Flow

Monitoring of microbial community composition is crucial for both microbiome management research and applications. Existing technologies, such as plating and amplicon sequencing, can become laborious and expensive when high-throughput measurements are required.

scholarly journals Do initial concentration and activated sludge seasonality affect pharmaceutical biotransformation rate constants?

2021 ◽  
Author(s):  
Tamara J. H. M. van Bergen ◽  
Ana B. Rios-Miguel ◽  
Tom M. Nolte ◽  
Ad M. J. Ragas ◽  
Rosalie van Zelm ◽  
...  
Keyword(s):  
Microbial Community ◽  
Activated Sludge ◽  
Community Composition ◽  
Rate Constants ◽  
Wastewater Treatment Plants ◽  
Microbial Community Composition ◽  
Amplicon Sequencing ◽  
Rrna Gene ◽  
Initial Concentration ◽  
Different Seasons

Abstract Pharmaceuticals find their way to the aquatic environment via wastewater treatment plants (WWTPs). Biotransformation plays an important role in mitigating environmental risks; however, a mechanistic understanding of involved processes is limited. The aim of this study was to evaluate potential relationships between first-order biotransformation rate constants (kb) of nine pharmaceuticals and initial concentration of the selected compounds, and sampling season of the used activated sludge inocula. Four-day bottle experiments were performed with activated sludge from WWTP Groesbeek (The Netherlands) of two different seasons, summer and winter, spiked with two environmentally relevant concentrations (3 and 30 nM) of pharmaceuticals. Concentrations of the compounds were measured by LC–MS/MS, microbial community composition was assessed by 16S rRNA gene amplicon sequencing, and kb values were calculated. The biodegradable pharmaceuticals were acetaminophen, metformin, metoprolol, terbutaline, and phenazone (ranked from high to low biotransformation rates). Carbamazepine, diatrizoic acid, diclofenac, and fluoxetine were not converted. Summer and winter inocula did not show significant differences in microbial community composition, but resulted in a slightly different kb for some pharmaceuticals. Likely microbial activity was responsible instead of community composition. In the same inoculum, different kb values were measured, depending on initial concentration. In general, biodegradable compounds had a higher kb when the initial concentration was higher. This demonstrates that Michealis-Menten kinetic theory has shortcomings for some pharmaceuticals at low, environmentally relevant concentrations and that the pharmaceutical concentration should be taken into account when measuring the kb in order to reliably predict the fate of pharmaceuticals in the WWTP. Key points • Biotransformation and sorption of pharmaceuticals were assessed in activated sludge. • Higher initial concentrations resulted in higher biotransformation rate constants for biodegradable pharmaceuticals. • Summer and winter inocula produced slightly different biotransformation rate constants although microbial community composition did not significantly change. Graphical abstract

scholarly journals Effects of Actinomycete Secondary Metabolites on Sediment Microbial Communities

2016 ◽  
Vol 83 (4) ◽  
Author(s):  
Nastassia V. Patin ◽  
Michelle Schorn ◽  
Kristen Aguinaldo ◽  
Tommie Lincecum ◽  
Bradley S. Moore ◽  
...  
Keyword(s):  
Microbial Community ◽  
Secondary Metabolites ◽  
Microbial Communities ◽  
Community Composition ◽  
Marine Sediments ◽  
Microbial Community Composition ◽  
Amplicon Sequencing ◽  
Next Generation ◽  
Content Type ◽  
Predatory Bacteria

ABSTRACT Marine sediments harbor complex microbial communities that remain poorly studied relative to other biomes such as seawater. Moreover, bacteria in these communities produce antibiotics and other bioactive secondary metabolites, yet little is known about how these compounds affect microbial community structure. In this study, we used next-generation amplicon sequencing to assess native microbial community composition in shallow tropical marine sediments. The results revealed complex communities comprised of largely uncultured taxa, with considerable spatial heterogeneity and known antibiotic producers comprising only a small fraction of the total diversity. Organic extracts from cultured strains of the sediment-dwelling actinomycete genus Salinispora were then used in mesocosm studies to address how secondary metabolites shape sediment community composition. We identified predatory bacteria and other taxa that were consistently reduced in the extract-treated mesocosms, suggesting that they may be the targets of allelopathic interactions. We tested related taxa for extract sensitivity and found general agreement with the culture-independent results. Conversely, several taxa were enriched in the extract-treated mesocosms, suggesting that some bacteria benefited from the interactions. The results provide evidence that bacterial secondary metabolites can have complex and significant effects on sediment microbial communities. IMPORTANCE Ocean sediments represent one of Earth's largest and most poorly studied biomes. These habitats are characterized by complex microbial communities where competition for space and nutrients can be intense. This study addressed the hypothesis that secondary metabolites produced by the sediment-inhabiting actinomycete Salinispora arenicola affect community composition and thus mediate interactions among competing microbes. Next-generation amplicon sequencing of mesocosm experiments revealed complex communities that shifted following exposure to S. arenicola extracts. The results reveal that certain predatory bacteria were consistently less abundant following exposure to extracts, suggesting that microbial metabolites mediate competitive interactions. Other taxa increased in relative abundance, suggesting a benefit from the extracts themselves or the resulting changes in the community. This study takes a first step toward assessing the impacts of bacterial metabolites on sediment microbial communities. The results provide insight into how low-abundance organisms may help structure microbial communities in ocean sediments.

scholarly journals Microbial community composition in Brazilian stored diesel fuel of varying sulfur content, using high-throughput sequencing

Fuel ◽  
2017 ◽  
Vol 189 ◽  
pp. 340-349 ◽  
Author(s):  
Aline Oliboni de Azambuja ◽  
Francielle Bücker ◽  
Patrícia Dörr de Quadros ◽  
Kateryna Zhalnina ◽  
Raquel Dias ◽  
...  
Keyword(s):  
Microbial Community ◽  
Community Composition ◽  
Sulfur Content ◽  
High Throughput ◽  
Diesel Fuel ◽  
High Throughput Sequencing ◽  
Microbial Community Composition

scholarly journals GeoChip 3.0 as a high-throughput tool for analyzing microbial community composition, structure and functional activity

2010 ◽  
Vol 4 (9) ◽  
pp. 1167-1179 ◽  
Author(s):  
Zhili He ◽  
Ye Deng ◽  
Joy D Van Nostrand ◽  
Qichao Tu ◽  
Meiying Xu ◽  
...  
Keyword(s):  
Microbial Community ◽  
Community Composition ◽  
High Throughput ◽  
Functional Activity ◽  
Microbial Community Composition ◽  
Composition Structure

scholarly journals Impact of inter- and intra-individual variation, sample storage and sampling fraction on human stool microbial community profiles

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6172 ◽  
Author(s):  
Yun Kit Yeoh ◽  
Zigui Chen ◽  
Mamie Hui ◽  
Martin C.S. Wong ◽  
Wendy C.S. Ho ◽  
...  
Keyword(s):  
Microbial Community ◽  
Community Composition ◽  
Individual Variation ◽  
Large Scale ◽  
Microbial Community Composition ◽  
Amplicon Sequencing ◽  
Relative Effect ◽  
Individual Variability ◽  
Rrna Gene ◽  
Sample Collection

Stools are commonly used as proxies for studying human gut microbial communities as sample collection is straightforward, cheap and non-invasive. In large-scale human population surveys, however, sample integrity becomes an issue as it is not logistically feasible for researchers to personally collect stools from every participant. Instead, participants are usually given guidelines on sample packaging and storage, and asked to deliver their stools to a centralised facility. Here, we tested a number of delivery conditions (temperature, duration and addition of preservative medium) and assessed their effects on stool microbial community composition using 16S rRNA gene amplicon sequencing. The largest source of variability in stool community composition was attributable to inter-individual differences regardless of delivery condition. Although the relative effect of delivery condition on community composition was small compared to inter-individual variability (1.6% vs. 60.5%, permutational multivariate analysis of variance [PERMANOVA]) and temporal variation within subjects over 10 weeks (5.2%), shifts in microbial taxa associated with delivery conditions were non-systematic and subject-specific. These findings indicated that it is not possible to model or accurately predict shifts in stool community composition associated with sampling logistics. Based on our findings, we recommend delivery of fresh, preservative-free stool samples to laboratories within 2 hr either at ambient or chilled temperatures to minimise perturbations to microbial community composition. In addition, subsamples from different fractions of the same stool displayed a small (3.3% vs. 72.6% inter-individual variation, PERMANOVA) but significant effect on community composition. Collection of larger sample volumes for homogenisation is recommended.

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