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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.
- Source :
-
PloS one [PLoS One] 2021 Apr 22; Vol. 16 (4), pp. e0250401. Date of Electronic Publication: 2021 Apr 22 (Print Publication: 2021). - Publication Year :
- 2021
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Abstract
- 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.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Computational Biology methods
Environmental Monitoring methods
Peru
Sewage microbiology
Water analysis
Water Microbiology
Water Pollution analysis
Aquatic Organisms genetics
Arcobacter genetics
DNA Barcoding, Taxonomic methods
Flavobacterium genetics
Fusobacteria genetics
Microbiota genetics
RNA, Ribosomal, 16S genetics
Rivers microbiology
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 16
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 33886647
- Full Text :
- https://doi.org/10.1371/journal.pone.0250401