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Distribution and potential ecological risks of microplastics in Zhushan Bay, China

Chemosphere 2023 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jie Wang Jie Wang Zhikai Wang, Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Jing Liu, Jing Liu, Qihui Li, Jie Wang Jie Wang Suzhen Huang, Suzhen Huang, Jie Wang Jing Liu, Jing Liu, Xingzhang Luo, Xingzhang Luo, Zhikai Wang, Haiqing Huang, Haiqing Huang, Jing Liu, Suzhen Huang, Suzhen Huang, Jie Wang Jie Wang Jie Wang Zheng Zheng, Jie Wang Jie Wang Jing Liu, Xingzhang Luo, Jie Wang Jie Wang Jie Wang Suzhen Huang, Jie Wang Zheng Zheng, Qihui Li, Jie Wang Jie Wang Qihui Li, Jing Liu, Zheng Zheng, Zheng Zheng, Jie Wang Jing Liu, Jie Wang Suzhen Huang, Yican Chen, Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Jie Wang Zheng Zheng, Jie Wang Suzhen Huang, Jie Wang Jie Wang Jie Wang Qihui Li, Xingzhang Luo, Jie Wang Qihui Li, Qihui Li, Jie Wang Jie Wang Zheng Zheng, Jie Wang Zheng Zheng, Jie Wang Jie Wang Suzhen Huang, Jie Wang Jie Wang Jie Wang

Summary

Researchers investigated microplastic distribution and associated antibiotic resistance genes in water and sediment from Zhushan Bay, China, using 16S rRNA sequencing, non-targeted metabolomics, and qPCR. Fibrous polyurethane and silicone microplastics dominated, concentrations peaked in winter, and microplastics in water carried more cooperative microbial networks with elevated metabolically important pathways compared to sediment-associated microplastics.

Polymers
Study Type Environmental

The interaction between microplastics (MPs) and microorganisms may alter the distribution of antibiotic resistance genes (ARGs) in water and increase the ecological risk of drinking water sources. To investigate the characteristics of MPs geographical distribution and its potential ecological risk in typical urban water, this study was conducted in Zhushan Bay, and we carried out a combination of tests to analyze the distribution of MPs and the migration changes of their surface microbial community composition and ARGs in different media by 16S rRNA gene high-throughput sequencing, non-targeted metabolomics and qPCR genomics in the near-shore (I), middle area (Ⅱ) and near-lake (Ⅲ) of Zhushan Bay. The results showed that MPs in fibrous form were dominant in the aquatic environment of Zhushan Bay; Polyurethane (PU) and Silicone were the main MPs types in Zhushan Bay. The abundance of MPs in the water of Zhushan Bay was winter > summer > autumn > spring; and in the sediment was winter > summer > autumn > spring, respectively. The distribution results of MPs in geographical location are as follows: In the water I > Ⅱ > Ⅲ, sediment exhibited Ⅱ > Ⅲ > I. The results indicate that physicochemical factors will affect the geographical distribution of MPs and their surface microbial community composition in the aquatic environment of Zhushan Bay. More cooperative behaviors and increased metabolically important pathways occurred in the microbial network on water-MPs compared to sediment-MPs. However, the microbial community in the sediment-MPs was more stable and had higher abundance of mobile genetic elements (MGEs). A total of 362 differential metabolites were detected, of which 193 were up-regulated and 19 down-regulated differential metabolites. blaTEM, Sul, and inti1 were prevalent in both the water and sediments of Zhushan Bay. Sul1 was most contaminated in ARGs. This study provides the latest field data and insights into MPs pollution in key aquatic environments.

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