Ecological risk assessment of heavy metals in the sediments and their impacts on bacterial community structure: A case study of Bamen Bay in China
Qipei Li
Lixin Pei
Zanhui Huang
Wei Shu
Qiuli Li
Yanwei Song
Hongwei Zhao
Marvin Schäfer
Inga Nordhaus
Abstract
Heavy metal pollution associated with human activity is of big concern in tropical bays. Microorganisms may be highly sensitive to heavy metals. Nonetheless, little is known about effects of heavy metals on microbial structure in tropical bay sediments. In this study, 16S rRNA gene sequencing and potential ecological risk index analysis were used to analyze the relationships between nine metals (arsenic, lead, cadmium, cobalt, chromium, copper, zinc, manganese, and nickel) and bacterial communities in the sediments of Bamen Bay, China. Our results showed that Bamen Bay was under a considerable ecological risk and cadmium had the highest monomial potential ecological risk. In addition, individual metal contamination correlated with bacterial community composition but not with bacterial α-diversity. Arsenic was the metal influencing bacterial community structure the most. Our findings provide a novel insight into the monitoring and remediation of heavy metal pollution in tropical bays.
Li Q., Pei L., Huang Z., Shu W., Li Q., Song Y., Zhao H., Schäfer M. and Nordhaus I. (2022) Ecological risk assessment of heavy metals in the sediments and their impacts on bacterial community structure: A case study of Bamen Bay in China. Marine Pollution Bulletin 186: 114482. 10.1016/j.marpolbul.2022.114482
@article{Li2022,
Title = {Ecological risk assessment of heavy metals in the sediments and their impacts on bacterial community structure: A case study of Bamen Bay in China},
Author = {Li, Qipei and Pei, Lixin and Huang, Zanhui and Shu, Wei and Li, Qiuli and Song, Yanwei and Zhao, Hongwei and Schäfer, Marvin and Nordhaus, Inga},
Editor = {},
Journal = {Marine Pollution Bulletin},
Year = {2022},
Pages = {114482},
Volume = {186},
Doi = {10.1016/j.marpolbul.2022.114482},
Abstract = {Heavy metal pollution associated with human activity is of big concern in tropical bays. Microorganisms may be highly sensitive to heavy metals. Nonetheless, little is known about effects of heavy metals on microbial structure in tropical bay sediments. In this study, 16S rRNA gene sequencing and potential ecological risk index analysis were used to analyze the relationships between nine metals (arsenic, lead, cadmium, cobalt, chromium, copper, zinc, manganese, and nickel) and bacterial communities in the sediments of Bamen Bay, China. Our results showed that Bamen Bay was under a considerable ecological risk and cadmium had the highest monomial potential ecological risk. In addition, individual metal contamination correlated with bacterial community composition but not with bacterial α-diversity. Arsenic was the metal influencing bacterial community structure the most. Our findings provide a novel insight into the monitoring and remediation of heavy metal pollution in tropical bays.},
}
TY - JOUR
AU - Li, Qipei
AU - Pei, Lixin
AU - Huang, Zanhui
AU - Shu, Wei
AU - Li, Qiuli
AU - Song, Yanwei
AU - Zhao, Hongwei
AU - Schäfer, Marvin
AU - Nordhaus, Inga
TI - Ecological risk assessment of heavy metals in the sediments and their impacts on bacterial community structure: A case study of Bamen Bay in China
T2 - Marine Pollution Bulletin
PY - 2022
SP - 114482
VL - 186
DO - 10.1016/j.marpolbul.2022.114482
AB - Heavy metal pollution associated with human activity is of big concern in tropical bays. Microorganisms may be highly sensitive to heavy metals. Nonetheless, little is known about effects of heavy metals on microbial structure in tropical bay sediments. In this study, 16S rRNA gene sequencing and potential ecological risk index analysis were used to analyze the relationships between nine metals (arsenic, lead, cadmium, cobalt, chromium, copper, zinc, manganese, and nickel) and bacterial communities in the sediments of Bamen Bay, China. Our results showed that Bamen Bay was under a considerable ecological risk and cadmium had the highest monomial potential ecological risk. In addition, individual metal contamination correlated with bacterial community composition but not with bacterial α-diversity. Arsenic was the metal influencing bacterial community structure the most. Our findings provide a novel insight into the monitoring and remediation of heavy metal pollution in tropical bays.
ER -
