From the Andes to the desert: 16S rRNA metabarcoding characterization of aquatic bacterial communities in the Rimac river, the main source of water for Lima, Peru

The Rimac river is the main source of water for Lima, Peru’s capital megacity. The river is constantly affected by different types of contamination including mine tailings in the Andes and urban sewage in the metropolitan area. In this work, we aim to produce the first characterization of aquatic bacterial communities in the Rimac river using a 16S rRNA metabarcoding approach which would be useful to identify bacterial diversity and potential understudied pathogens. We report a lower diversity in bacterial communities from the Lower Rimac (Metropolitan zone) in comparison to other sub-basins. Samples were generally grouped according to their geographical location. Bacterial classes Alphaproteobacteria, Bacteroidia, Campylobacteria, Fusobacteriia, and Gammaproteobacteria were the most frequent along the river. Arcobacter cryaerophilus (Campylobacteria) was the most frequent species in the Lower Rimac while Flavobacterium succinicans (Bacteroidia) and Hypnocyclicus (Fusobacteriia) were the most predominant in the Upper Rimac. Predicted metabolic functions in the microbiota include bacterial motility and quorum sensing. Additional metabolomic analyses showed the presence of some insecticides and herbicides in the Parac-Upper Rimac and Santa Eulalia-Parac sub-basins. The dominance in the Metropolitan area of Arcobacter cryaerophilus, an emergent pathogen associated with fecal contamination and antibiotic multiresistance, that is not usually reported in traditional microbiological quality assessments, highlights the necessity to apply next-generation sequencing tools to improve pathogen surveillance. We believe that our study will encourage the integration of omics sciences in Peru and its application on current environmental and public health issues.

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From the Andes to the desert: First overview of the bacterial community in the Rimac river, the main source of water for Lima, Peru

10.1101/2020.08.16.252965 ◽

2020 ◽

Author(s):

Pedro E. Romero ◽

Erika Calla-Quispe ◽

Camila Castillo-Vilcahuaman ◽

Mateo Yokoo ◽

Hammerly Lino Fuentes-Rivera ◽

...

Keyword(s):

Metropolitan Area ◽

Bacterial Communities ◽

Geographical Location ◽

Microbiological Quality ◽

Amplicon Sequencing ◽

Urban Sewage ◽

16S Rrna Amplicon Sequencing ◽

The Andes ◽

Metabolic Functions ◽

Quality Assessments

AbstractBackgroundThe Rimac river is the main source of water for Lima, Peru’s capital megacity. The river is constantly affected by different types of contamination including mine tailings in the Andes and urban sewage in the metropolitan area. We aim to produce the first characterization of bacterial communities in the Rimac river using a 16S rRNA amplicon sequencing approach which would be useful to identify bacterial diversity and potential understudied pathogens.ResultsWe report a higher diversity in bacterial communities from the Upper and, especially, Middle Rimac compared to the Lower Rimac (Metropolitan zone). Samples were generally grouped according to their geographical location. Bacterial classes Alphaproteobacteria, Bacteroidia, Campylobacteria, Fusobacteriia, and Gammaproteobacteria were the most frequent along the river. Arcobacter cryaerophilus (Campylobacteria) was the most frequent species in the Lower Rimac while Flavobacterium succinicans (Bacteroidia) and Hypnocyclicus (Fusobacteriia) were the most predominant in the Upper Rimac. Predicted metabolic functions in the microbiota include bacterial motility, quorum sensing and xenobiotics metabolism. Additional metabolomic analyses showed the presence natural flavonoids and antibiotics in the Upper Rimac, and herbicides in the Lower Rimac.ConclusionsThe dominance in the Metropolitan area of Arcobacter cryaerophilus, an emergent pathogen associated with fecal contamination and antibiotic multiresistance, but that is not usually reported in traditional microbiological quality assessments, highlights the necessity to apply next-generation sequencing tools to improve pathogen surveillance. We believe that our study will encourage the integration of omics sciences in Peru and its application on current environmental and public health issues.

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Molecular characterization of the bacterial communities present in sheep's milk and cheese produced in South Brazilian Region via 16S rRNA gene metabarcoding sequencing

LWT ◽

10.1016/j.lwt.2021.111579 ◽

2021 ◽

Vol 147 ◽

pp. 111579

Author(s):

Creciana M. Endres ◽

Ícaro Maia S. Castro ◽

Laura D. Trevisol ◽

Juliana M. Severo ◽

Michele B. Mann ◽

...

Keyword(s):

16S Rrna ◽

16S Rrna Gene ◽

Molecular Characterization ◽

Bacterial Communities ◽

Rrna Gene

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Characterization of 16S rRNA methylase genes in Enterobacterales and Pseudomonas aeruginosa in Athens Metropolitan area, 2015–2016

European Journal of Clinical Microbiology & Infectious Diseases ◽

10.1007/s10096-020-04006-3 ◽

2020 ◽

Vol 40 (1) ◽

pp. 111-121

Author(s):

Konstantina Nafplioti ◽

Maria Souli ◽

Panagiota Adamou ◽

Eleni Moraitou ◽

Panagiota Giannopoulou ◽

...

Keyword(s):

Pseudomonas Aeruginosa ◽

16S Rrna ◽

Metropolitan Area ◽

16S Rrna Methylase

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Molecular characterization of bacterial communities in sheep cheese through 16S rRNA gene sequencing

10.1101/753053 ◽

2019 ◽

Author(s):

Creciana Maria Endres ◽

Ícaro Maia Santos de Castro ◽

Laura Delpino Trevisol ◽

Michele Bertoni Mann ◽

Ana Paula Muterle Varela ◽

...

Keyword(s):

Public Health ◽

16S Rrna ◽

High Throughput ◽

Bacterial Communities ◽

Value Added ◽

Rrna Gene ◽

Unifrac Distance ◽

Organoleptic Characteristics ◽

Significant Difference

AbstractThe production of sheep’s milk cheese has grown in recent years since it is a high value-added product with excellent properties. As such, it is necessary to provide data on the microbiota and organoleptic characteristics of this product, as well as the influence of these microorganisms on public health. Thus, the aim of the present study was to characterize the microbial community of different types of sheep cheeses using high-throughput sequencing of the 16S rRNA gene. The study was conducted with four groups of cheese: colonial, fresh, feta, and pecorino (n = 5 samples per group). The high-throughput 16S rRNA amplicon sequencing revealed 55 operational taxonomic units in the 20 samples, representing 9 genera of the two bacterial phyla Firmicutes and Proteobacteria. The predominant genera in the samples were Streptococcus and Lactobacillus. When evaluating alpha diversity by the indexes of Simpson, Chao1, Shannon, and Skew no significant differences were observed between the groups. Evaluating of the beta diversity using Bray-Curtis dissimilarity, the group of colonial cheeses presented a significant difference when compared to the feta (q = 0.030) and pecorino groups (q = 0.030). Additionally, the fresh group differed from the pecorino group (q = 0.030). The unweighted Unifrac distance suggests that the colonial cheese group differed from the others. Moreover, the feta cheese group differed from the fresh group. The distance-weighted Unifrac suggests that no significance exists between the groups. According to this information, the microbiota characterization of these cheese groups was useful in demonstrating the bacterial communities belonging to each group, its effects on processing, elaboration, maturation, and public health.

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Terminal Restriction Pattern Analysis of 16S rRNA Genes for the Characterization of Bacterial Communities of Activated Sludge.

Journal of Bioscience and Bioengineering ◽

10.1263/jbb.90.148 ◽

2000 ◽

Vol 90 (2) ◽

pp. 148-156 ◽

Cited By ~ 8

Author(s):

AKIRA HIRAISHI ◽

MITSURU IWASAKI ◽

HISASHI SHINJO

Keyword(s):

16S Rrna ◽

Activated Sludge ◽

Bacterial Communities ◽

Pattern Analysis ◽

Restriction Pattern ◽

16S Rrna Genes ◽

Rrna Genes

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A DNA Microarray Platform Based on Direct Detection of rRNA for Characterization of Freshwater Sediment-Related Prokaryotic Communities

Applied and Environmental Microbiology ◽

10.1128/aem.02949-05 ◽

2006 ◽

Vol 72 (7) ◽

pp. 4829-4838 ◽

Cited By ~ 31

Author(s):

Jörg Peplies ◽

Christine Lachmund ◽

Frank Oliver Glöckner ◽

Werner Manz

Keyword(s):

16S Rrna ◽

Dna Microarray ◽

Bacterial Communities ◽

Direct Detection ◽

Signal To Noise Ratio ◽

Microarray Platform ◽

Freshwater Sediments ◽

Pure Cultures ◽

Catalyzed Reporter Deposition

ABSTRACT A DNA microarray platform for the characterization of bacterial communities in freshwater sediments based on a heterogeneous set of 70 16S rRNA-targeted oligonucleotide probes and directly labeled environmental RNA was developed and evaluated. Application of a simple protocol for the efficient background blocking of aminosilane-coated slides resulted in an improved signal-to-noise ratio and a detection limit of 10 ng for particular 16S rRNA targets. An initial specificity test of the system using RNA from pure cultures of different phylogenetic lineages showed a fraction of false-positive signals of ∼5% after protocol optimization and a marginal loss of correct positive signals. Subsequent microarray analysis of sediment-related community RNA from four different German river sites suggested low diversity for the groups targeted but indicated distinct differences in community composition. The results were supported by parallel fluorescence in situ hybridization in combination with sensitive catalyzed reporter deposition (CARD-FISH). In comparisons of the data of different sampling sites, specific detection of populations with relative cellular abundances down to 2% as well as a correlation of microarray signal intensities and population size is suggested. Our results demonstrate that DNA microarray technology allows for the fast and efficient precharacterization of complex bacterial communities by the use of standard single-cell hybridization probes and the direct detection of environmental rRNA, also in methodological challenging habitats such as heterogeneous lotic freshwater sediments.

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