2022
DOI: 10.21203/rs.3.rs-2323106/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Deep sea cold seep is an atmospheric Hg sink and MeHg source

Abstract: Mercury (Hg) is an important element in seafloor cold seeps that might govern methane emission. However, so far, the knowledge of biogeochemical Hg cycle in it remains poorly understood. In this study, Hg geochemical characteristics and microorganisms involved in Hg biogeochemical cycling were examined in three (active, inactive seep vs reference) different types of sediments sampled from the Haima cold seep in the South China Sea. Sediments in the active seep area were significantly enriched in mercury and me… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
10
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
3
2

Relationship

5
0

Authors

Journals

citations
Cited by 6 publications
(11 citation statements)
references
References 49 publications
1
10
0
Order By: Relevance
“…Similar trends of microdiversity with depth for these populations were also observed within their mcrA and dsrA genes at some specific sites (Supplementary Data 9 ). Since differences between sites depend on seepage dynamics influencing redox zonation 4 , evolutionary metrics were also examined in relation to available sediment porewater geochemistry from SY and S11 sites 61 , 62 , including sulfate (SO 4 2− ), dissolved inorganic carbon (DIC) and methane (CH 4 ) levels. Two-tailed Pearson correlation tests (Supplementary Data 10 ) confirm that evolutionary metrics in several populations were significantly related to these three parameters, with DIC and CH 4 likely exerting strong selection pressure on microbial populations based on being negatively correlated with pN/pS values at the genome level.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Similar trends of microdiversity with depth for these populations were also observed within their mcrA and dsrA genes at some specific sites (Supplementary Data 9 ). Since differences between sites depend on seepage dynamics influencing redox zonation 4 , evolutionary metrics were also examined in relation to available sediment porewater geochemistry from SY and S11 sites 61 , 62 , including sulfate (SO 4 2− ), dissolved inorganic carbon (DIC) and methane (CH 4 ) levels. Two-tailed Pearson correlation tests (Supplementary Data 10 ) confirm that evolutionary metrics in several populations were significantly related to these three parameters, with DIC and CH 4 likely exerting strong selection pressure on microbial populations based on being negatively correlated with pN/pS values at the genome level.…”
Section: Resultsmentioning
confidence: 99%
“…For samples from the Northwestern Gulf of Mexico, metagenomic data sets along with metadata were downloaded from NCBI Sequencing Read Archive (SRA) and NCBI BioProject databases ( https://www.ncbi.nlm.nih.gov/bioproject/PRJNA553005 ) 63 . The other 63 metagenomic data sets used in this study were obtained from our previous publications 3 , 11 , 31 , 61 , 62 , 64 , 65 (details in Supplementary Data 1 ). Geochemical parameters (SO 4 2− , DIC, and CH 4 ) from SY and S11 sites and cell densities from the SB site were collected from our previous publications 3 , 61 , 62 .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Sediment cores penetrated 18 to 20 cm into the seabed. Details for DNA sequencing can be found elsewhere 28 and involved genomic DNA extraction with the MO BIO PowerSoil DNA Isolation Kit followed by sequencing on the MGI sequencing platforms DNBSEQ-T1 or BGISEQ500 (MGI Tech Co., Ltd., China) at BGI-Shenzhen (China).…”
Section: Sample Description Metagenomic Sequencing and Analysismentioning
confidence: 99%
“…These sites are as follows: Eastern North Pacific (ENP), Santa Monica Mounds Bioinformatics Institute-European Nucleotide Archive (EBI-ENA) according to the accession numbers published in each study [8][9][10]35,[38][39][40][41] . The remaining 106 metagenomic datasets used in this study were obtained from our previous publications 7,12,[42][43][44][45][46][47][48][49] .…”
Section: Collection Of Metagenomesmentioning
confidence: 99%