Evidence map›Paper›PMID 33886647›Full record

ArticlePloS one2021

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.

Pedro E Romero, Erika Calla-Quispe, Camila Castillo-Vilcahuaman, Mateo Yokoo, Hammerly Lino Fuentes-Rivera, Jorge L Ramirez, André Ampuero, Alfredo J Ibáñez, Paolo Wong

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Pedro E RomeroDepartamento de Ciencias Biológicas y Fisiológicas, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0001-9947-3868
Erika Calla-QuispeInstituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Peru, Lima, Peru.
Camila Castillo-VilcahuamanDepartamento de Ciencias Biológicas y Fisiológicas, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru.
Mateo YokooDepartamento de Ciencias de la Medicina, Facultad de Medicina Humana, Universidad de Piura, Lima, Peru.
Hammerly Lino Fuentes-RiveraInstituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Peru, Lima, Peru.
Jorge L RamirezDepartamento de Biología Celular y Genética, Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru.ORCID 0000-0001-8138-9203
André AmpueroDepartamento de Malacología y Carcinología, Museo de Historia Natural, Universidad Nacional Mayor de San Marcos, Lima, Peru.ORCID 0000-0001-6929-5423
Alfredo J IbáñezInstituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Peru, Lima, Peru.
Paolo WongDepartamento de Ciencias de la Medicina, Facultad de Medicina Humana, Universidad de Piura, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Aquatic OrganismsArcobacterComputational BiologyDNA Barcoding, TaxonomicEnvironmental MonitoringFlavobacteriumFusobacteriaMicrobiotaPeruRiversRNA, Ribosomal, 16SSewageWaterWater MicrobiologyWater PollutionRNA, Ribosomal, 16SSewageWater

Identifiers

PMID33886647
PMCPMC8061919

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.