logo
ResearchBunny Logo
Abstract
This study investigates the role of seafloor cold seeps in mercury (Hg) biogeochemical cycling. Sediment cores from the Haima cold seep in the South China Sea showed significant Hg and methylmercury (MMHg) enrichment in active seep areas compared to inactive and reference areas. Analysis of Hg isotopic composition and metagenomic data revealed the presence of microbes capable of Hg methylation, demethylation, and reduction. The study estimates a substantial global Hg and MMHg storage in cold seeps, suggesting they act as a previously unrecognized sink for Hg and source for MMHg in the deep ocean.
Publisher
Communications Earth & Environment
Published On
Jun 14, 2024
Authors
Jiwei Li, Xiyang Dong, Yongjie Tang, Chuwen Zhang, Yali Yang, Wei Zhang, Shanshan Liu, Wei Yuan, Xinbin Feng, Lars-Eric Heimbürger-Boavida, Feiyue Wang, Lihai Shang, Xiaotong Peng
Tags
seafloor cold seeps
mercury cycling
methylmercury
sediment cores
biogeochemical processes
microbial activity
global storage

Related Publications

Explore these studies to deepen your understanding of the subject.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease
Medicine and Health

A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease

C. Wang, H. Tachimori, et al.

An AOA-Dominant Microbiome in a Novel Deep-Sea Glass Sponge Species from the South China Sea: Symbiotic Diversity, Adaptation, and Network Interactions
Biology

An AOA-Dominant Microbiome in a Novel Deep-Sea Glass Sponge Species from the South China Sea: Symbiotic Diversity, Adaptation, and Network Interactions

M. Maldonado, L. Pita, et al.

A deep-learning model for predictive archaeology and archaeological community detection
Interdisciplinary Studies

A deep-learning model for predictive archaeology and archaeological community detection

A. Resler, R. Yeshurun, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny