Evidence map›Paper›PMID 38557569›Full record

ArticleJournal of water and health2024

Bacterial community assessment of drinking water and downstream distribution systems in highland localities of Ecuador.

C Alfonso Molina, Cristian Quiroz-Moreno, Pablo Jarrín-V, Magdalena Díaz, Elizabeth Yugsi, Jorge Pérez-Galarza, Lucy Baldeón-Rojas

Abstract read
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In one paragraph

Article in Journal of water and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Genome characterization of a multi-drug resistantFrontiers in microbiology · 2024
    Article
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

7 authors.

C Alfonso MolinaFacultad de Medicina Veterinaria y Zootecnia, Universidad Central del Ecuador, Cdla. Universitaria y Gaspar de Carvajal s/n., 170521 Quito, Ecuador; Instituto de Investigación en Zoonosis (CIZ), Universidad Central del Ecuador, Cdla. Universitaria y Gaspar de Carvajal s/n., 170521, Quito, Ecuador E-mail: camolina@uce.edu.ec.ORCID https://orcid.org/0000-0003-3972-8528
Cristian Quiroz-MorenoDepartment of Horticulture and Crop Science, Ohio State University, 2021 Coffey Road, Columbus OH 43210.ORCID https://orcid.org/0000-0002-9069-9147
Pablo Jarrín-VLaboratorio de Secuenciamiento de Ácidos Nucleicos, Dirección de Gestión de la Innovación, Instituto Nacional de Biodiversidad INABIO, Pje. Rumipamba N341 y Av. de los Shyris, Quito, Ecuador.ORCID https://orcid.org/0000-0002-7431-0381
Magdalena DíazInstituto de Investigación en Zoonosis (CIZ), Universidad Central del Ecuador, Cdla. Universitaria y Gaspar de Carvajal s/n., 170521, Quito, Ecuador; Facultad de Ingeniería Química, Universidad Central del Ecuador, Ritter s/n y Bolivia, 170521 Quito, Ecuador; Institute of Integrative Systems Biology (I2SysBio), University of Valencia and Consejo Superior de Investigaciones Científicas (CSIC), Carrer del Catedràtic Agustín Escardino Benlloch, 46980 Paterna, Valencia, Spain.ORCID https://orcid.org/0000-0002-8472-5951
Elizabeth YugsiCentro de Biotecnología 'Dr Daniel Alkalay Lowitt', Universidad Técnica Federico Santa María, General Bari 699, 2390136, Valparaíso, Chile.ORCID https://orcid.org/0000-0003-3092-2658
Jorge Pérez-GalarzaFacultad de Ciencias Médicas, Universidad Central del Ecuador, Iquique N14-121 y Sodiro, Quito, Ecuador; Instituto de Investigación en Biomedicina, Universidad Central del Ecuador, Capitán Giovanni Calles y Derby, Quito, Ecuador.ORCID https://orcid.org/0000-0003-2742-3727
Lucy Baldeón-RojasFacultad de Ciencias Médicas, Universidad Central del Ecuador, Iquique N14-121 y Sodiro, Quito, Ecuador; Instituto de Investigación en Biomedicina, Universidad Central del Ecuador, Capitán Giovanni Calles y Derby, Quito, Ecuador.ORCID https://orcid.org/0000-0002-0447-0136

Funding

Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia Estudio del Estado Inmunológico de Niños en Edad Escolar y su relación con el Microbioma Intestinal y el Agua Potable que consumen
6 · The paper itself

Abstract

Bacterial communities in drinking water provide a gauge to measure quality and confer insights into public health. In contrast to urban systems, water treatment in rural areas is not adequately monitored and could become a health risk. We performed 16S rRNA amplicon sequencing to analyze the microbiome present in the water treatment plants at two rural communities, one city, and the downstream water for human consumption in schools and reservoirs in the Andean highlands of Ecuador. We tested the effect of water treatment on the diversity and composition of bacterial communities. A set of physicochemical variables in the sampled water was evaluated and correlated with the structure of the observed bacterial communities. Predominant bacteria in the analyzed communities belonged to Proteobacteria and Actinobacteria. The Sphingobium genus, a chlorine resistance group, was particularly abundant. Of health concern in drinking water reservoirs were Fusobacteriaceae, Lachnospiraceae, and Ruminococcaceae; these families are associated with human and poultry fecal contamination. We propose the latter families as relevant biomarkers for establishing local standards for the monitoring of potable water systems in highlands of Ecuador. Our assessment of bacterial community composition in water systems in the Ecuadorian highlands provides a technical background to inform management decisions.

Indexed as

Drinking WaterBacteriaEcuadorHumansProteobacteriaRNA, Ribosomal, 16SWater MicrobiologyDrinking WaterRNA, Ribosomal, 16Sbacterial communitiesdownstream distribution systemsdrinking waterLachnospiraceaerural highlandsSphingobium

Identifiers

PMID38557569

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.