0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Marine & Wildlife Sign in to save

Comparative analysis of microplastic and microbial communities in varied aquatic environments: Disparities in occurrence, interconnections, and ecological implications

Journal of Hazardous Materials 2025 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Lingfang Fu, Lu Huang, Yong‐Xin Guo, Yong‐Xin Guo, Jialiang Tang, Mengdi Yang, Mengdi Yang, Lu Huang, Jieer Xiao, Jieer Xiao, Huaiyang Fang, Zhongya Fan, Zhongya Fan, Huaiyang Fang, Zhongyang Wang, Zhongya Fan, Lu Huang, Jiangyu Zhi, Jiangyu Zhi, Zhiwei Huang, Huaiyang Fang, Huaiyang Fang, Lingfang Fu, Ping Li

Summary

Comparative surveys of microplastics and associated microbial communities across river, reservoir, and bay environments in the Dongjiang watershed found that MP abundance and microbial community composition differed significantly by water type, with MP surfaces hosting distinct microbial assemblages.

Study Type Environmental

Detection of microplastics (MPs) in various water environments raises significant environmental concerns. However, comprehension of the differences in MPs and their linked biological communities across diverse water settings remains limited. This study explores MPs and their linked microbial communities in the Dongjiang River, Xingfengjiang Reservoirs, and Dayawan Bays watersheds. Our results revealed distinct community compositions of MPs in these three water environments, with higher abundance and diversity integrated index of MPs (p < 0.01) observed in rivers and reservoirs compared to bays. Significant variations in dominant microbial communities and relative abundances were observed among these water bodies, with rivers showing higher Shannon and Simpson indexes than reservoirs and bays. The co-occurrence network analysis indicated more complex and interconnected structures between bacterial communities and MPs in rivers and reservoirs than in bays. Risk assessments conducted for these water environments revealed varying levels of potential risks associated with MPs, with reservoirs posing higher risks than rivers and bays. Noteworthy differences in pathogenic bacteria composition were also identified across the water environments. This study highlights the disparities and connections between MPs and microbial communities in rivers, reservoirs, and bays, providing valuable insights for managing and mitigating MP pollution in diverse aquatic environments.

Sign in to start a discussion.

Share this paper