ArticleData in brief2026
Long-read whole-genome sequencing dataset of microbial communities from industrially and municipally impacted freshwater wetlands in South Africa.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
2 authors.
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Abstract
This article describes a long-read whole-genome shotgun sequencing dataset generated from microbial communities inhabiting industrially and municipally impacted freshwater wetlands in South Africa. Surface water samples were collected from five strategically selected sites exposed to distinct anthropogenic pressures, including industrial effluent discharge, sewage overflow, greywater inputs, informal settlement runoff, and landfill leachate to generate a unique microbial genomic data. Environmental DNA was extracted and sequenced using the PacBio Sequel IIe platform, producing high-fidelity long reads suitable for improved assembly contiguity and functional reconstruction. Post-quality control processing yielded 4.9 × 10⁴ to 1.6 × 10⁵ HiFi reads per sample, corresponding to 0.34-1.02 Gb of high-accuracy sequence data per site. Long-read assemblies generated between 16,080 and 54,670 predicted protein-coding genes per sample. Taxonomic classification using Kaiju assigned 94.1-99.8% of assembled sequences to reference taxa. Domain-level profiles were exclusively bacterial dominated, with few rare or undetected (0.000-0.001%) archaeal, eukaryotic, or viral representation. Phylum-level composition was strongly dominated by
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