Evidence map›Paper›PMID 41963805›Full record

ArticleBMC genomic data2026

Bacterial community profiling of Malaysian drinking water reservoirs using metagenomic amplicon sequencing.

Muhammad Farhan Roslan, Mohd Faiz Mat Saad, Suriyanti Su Nyun Pau, Syazwani Basir, Habsah Aziz, Muhamad Afiq Akbar, Hamidun Bunawan

Abstract read
In one paragraph

Article in BMC genomic data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Muhammad Farhan RoslanInstitute of Systems Biology, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
Mohd Faiz Mat SaadInstitute of Systems Biology, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
Suriyanti Su Nyun PauDepartment of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
Syazwani BasirDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
Habsah AzizInstitute of Systems Biology, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
Muhamad Afiq AkbarDepartment of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang, Selangor, 43400, Malaysia.
Hamidun BunawanInstitute of Systems Biology, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia. hamidun.bunawan@ukm.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMicrobial communities in freshwater are pivotal for driving nutrient transformation, bioremediation, and maintaining the health balance of these ecosystems. However, microbial communities in freshwater ecosystems may undergo rapid shifts in composition in response to environmental changes. In some cases, these shifts may signal ecological imbalance. In the tropics like Malaysia, high humidity coupled with high temperatures and seasonal rainfalls creates an even hotter and highly variable environmental conditions that promote microbial proliferation and increase the risk of introducing potentially pathogenic microorganisms from surrounding anthropogenic sources via surface runoff. The current study offers a comprehensive characterisation of bacterial community composition in Malaysian freshwater drinking reservoirs using high throughput 16 S rRNA gene amplicon sequencing. This approach enables bacterial community profiling and supports initial microbial risk assessment in these vital freshwater ecosystems. DATA DESCRIPTION: State Authorities permitted the collection of water samples from eight freshwater reservoirs within Peninsular Malaysia’s protective zones. The 16 S rRNA gene’s V3-V4 hypervariable region was amplified for next generation sequencing. Raw DNA sequence data in FASTQ format were quality-filtered, adapter-trimmed and processed using a QIIME v1.9.1 based pipeline that integrated standard bioinformatics tools for OTU clustering and taxonomic assignment. Utilising R v3.3.1, statistical analyses and data visualisations were performed on this dataset. Characterising the community structure of bacteria in these important freshwater ecosystems is the first step to working with this dataset.

Indexed as

BacteriaDrinking WaterMetagenomicsFresh WaterHigh-Throughput Nucleotide SequencingMalaysiaPhylogenyRNA, Ribosomal, 16SWater MicrobiologyDrinking WaterRNA, Ribosomal, 16S16 S rRNA gene ampliconBacterial communityFreshwater reservoir

Identifiers

PMID41963805
PMCPMC13202894

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LicenceCC BY
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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.