Seasonal Divergence between Microbiomes on Microplastics and Natural Particles Increases w

A year-long metagenomic study at 15 sites across 10 major urban rivers in Hong Kong compares microplastic- and natural particle-associated microbiomes across four seasons. The dataset includes metagenome-assembled genomes revealing taxonomic and functional compositions, with water temperature identified as a primary environmental driver. It was authored by Yingyu Bao and last updated on 2026-05-12.

Use Cases

• Modeling the relationship between water temperature and microbiome diversity based on seasonal measurements
• Comparing taxonomic and functional traits between microplastic and natural particle microbiomes based on metagenomic data
• Analyzing co-occurrence network complexity and stability across particle types and seasons
• Investigating the abundance of pollutant-degrading or virulent taxa in warmer conditions based on taxonomic profiles

Strengths

• Data spans a full year across four seasons, providing temporal depth
• Sampling covers 15 sites across 10 major urban rivers, offering spatial breadth
• Analysis includes both taxonomic composition and functional profiles from metagenome-assembled genomes

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment
• Data is limited to 10 urban rivers in Hong Kong, which may not be representative of other regions
• The dataset size is 369.0 KB, indicating a relatively small scope

Provenance

Source

figshare

Collection Method

Year-long metagenomic study collecting and analyzing samples from urban rivers.

Time Range

One year, covering four seasons.

Freshness

Last updated 2026-05-12 21:03:54; freshness should be verified.

Geography

15 sites across 10 major urban rivers in Hong Kong.