Evidence map›Paper›PMID 32107647›Full record

ArticleEnvironmental monitoring and assessment2020

Water and sediment microbiota diversity in response to temporal variation at the outlet of the Ibrahim River (Lebanon).

P El Najjar, M Pfaffl, N Ouaini, A Abdel Nour, D El Azzi

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Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

P El NajjarDepartment of Agriculture and Food Engineering, School of Engineering, Holy Spirit University, Kaslik, Lebanon.
M PfafflInstitute of Animal Physiology and Immunology, Faculty of Life Sciences, Technical University of Munich, Freising, Munich, Germany.
N OuainiDepartment of Agriculture and Food Engineering, School of Engineering, Holy Spirit University, Kaslik, Lebanon.
A Abdel NourDepartment of Agriculture and Food Engineering, School of Engineering, Holy Spirit University, Kaslik, Lebanon.
D El AzziDepartment of Agriculture and Food Engineering, School of Engineering, Holy Spirit University, Kaslik, Lebanon. desireeelazzi@usek.edu.lb.ORCID https://orcid.org/0000-0002-3970-1790
Holy Spirit University of Kaslik · LBTechnical University of Munich · DE

Funding

Conseil National de la Recherche Scientifique -Université Saint-Esprit de Kaslik -
6 · The paper itself

Abstract

Bacterial diversity is an important factor controlling the functioning of aquatic ecosystems. With the critical sensitivity of the microbial community towards chemical and/or physical factors, this study aims to identify for the first time the microbiota of the Lebanese coastal Ibrahim River. Water and sediment samples were collected at the outlet of the river, between May 2016 and April 2017, covering a hydrological year. The main microbiological parameters were tested: total germs, total coliforms, fecal coliforms, Escherichia coli, and Enterococcus. A DNA extraction followed by NGS analysis was applied on both water and sediment samples, in order to investigate the bacterial diversity and the habitat specificity. The link between this microbial composition and seasonal variations was then investigated. Results showed fourteen different bacterial phyla, among which were major microorganisms, including a wide variety of pathogenic and commensal ones, frequently available in the aquatic ecosystem. Most of the detected water microbiota were mostly correlated to other freshwater samples, with the main dominance of 5 common phyla: Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes, and Acidobacteria with the average of 43%, 13%, 16%, 10%, and 4% respectively. Despite this overall similarity, multiple patterns were visible, confirming the influence of the temporal variations and the discharge influence on taxonomic diversity. Sediment samples contained the highest relative abundance of Proteobacteria, Firmicutes, and Bacteroidetes: with an average of 31%, 44%, and 22% respectively. Our study showed that the Ibrahim River outlet has a specific habitat clustering. The among-compartment bacterial community variation, which responded to changing environmental factors, approved the existence of a meaningful temporal heterogeneity.

Indexed as

MicrobiotaRiversWater MicrobiologyEnvironmental MonitoringLebanonRNA, Ribosomal, 16SWaterRNA, Ribosomal, 16SWaterMicrobial diversityNGSRiver basinSeasonal variationWater monitoring

Identifiers

PMID32107647
OpenAlexW3007386005

What OpenQuestion holds

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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 OpenQuestion graph.