Evidence map›Paper›PMID 37521121›Full record

ArticleBioMed research international2023

Shotgun Metagenomic Analyses of Microbial Assemblages in the Aquatic Ecosystem of Winam Gulf of Lake Victoria, Kenya Reveals Multiclass Pollution.

Sandra Khatiebi, Kelvin Kiprotich, Zedekiah Onyando, Clabe Wekesa, Celestine N Chi, Chrispinus Mulambalah, Patrick Okoth

Abstract read
In one paragraph

Article in BioMed research international, 2023. 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.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. 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.

Sandra KhatiebiDepartment of Biological Sciences, School of Natural Science, Masinde Muliro University of Science and Technology, P.O. Box 190, 50100 Kakamega, Kenya.ORCID https://orcid.org/0000-0003-4007-3661
Kelvin KiprotichDepartment of Biological Sciences, School of Natural Science, Masinde Muliro University of Science and Technology, P.O. Box 190, 50100 Kakamega, Kenya.ORCID https://orcid.org/0000-0001-9284-681X
Zedekiah OnyandoDepartment of Biological Sciences, School of Natural Science, Masinde Muliro University of Science and Technology, P.O. Box 190, 50100 Kakamega, Kenya.
Clabe WekesaDepartment of Biological Sciences, School of Natural Science, Masinde Muliro University of Science and Technology, P.O. Box 190, 50100 Kakamega, Kenya.
Celestine N ChiDepartment of Medical Biochemistry and Microbiology, University of Uppsala, P.O. Box 582, 75123 Uppsala, Sweden.
Chrispinus MulambalahDepartment of Medical Microbiology & Parasitology, School of Medicine, Moi University, P.O. Box 4606, 30100 Eldoret, Kenya.
Patrick OkothDepartment of Biological Sciences, School of Natural Science, Masinde Muliro University of Science and Technology, P.O. Box 190, 50100 Kakamega, Kenya.ORCID https://orcid.org/0000-0002-0241-8799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lake Victoria, the second-largest freshwater lake in the world, provides an important source of food and income, particularly fish for both domestic consumption and for export market. In recent years, Lake Victoria has suffered massive pollution from both industrial and wastewater discharge. Microplastic biomes, pharmaceutical residues, drugs of abuse, heavy metals, agrochemicals, and personal care products are ubiquitous in the aquatic ecosystem of Winam Gulf. These pollutants are known to alter microbial assemblages in aquatic ecosystems with far-reaching ramification including a calamitous consequence to human health. Indeed, some of these pollutants have been associated with human cancers and antimicrobial resistance. There is a paucity of data on the microbial profiles of this important but heavily polluted aquatic ecosystem. The current study sought to investigate the metagenomic profiles of microbial assemblages in the Winam Gulf ecosystem. Water and sediment samples were collected from several locations within the study sites. Total genomic DNA pooled from all sampling sites was extracted and analyzed by whole-genome shotgun sequencing. Analyses revealed three major kingdoms: bacteria, archaea and eukaryotes belonging to 3 phyla, 13 classes, 14 families, 9 orders, 14 genera, and 10 species.

Indexed as

MicrobiotaWater Pollutants, ChemicalAnimalsEcosystemEnvironmental MonitoringHumansKenyaLakesPharmaceutical PreparationsPlasticsWaterPharmaceutical PreparationsPlasticsWaterWater Pollutants, Chemical

Identifiers

PMID37521121
PMCPMC10382247

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.