Sulfide Toxicity as Key Control on Anaerobic Oxidation of Methane in Eutrophic Coastal Sediments.
Paula Dalcin MartinsJoão P R C de MonlevadMaider J Echeveste MedranoWytze Klaas LenstraAnna Julia WalleniusMartijn HermansCaroline P SlompCornelia Ulrike WelteMike S M JettenNiels A G M van HelmondPublished in: Environmental science & technology (2024)
Coastal zones account for 75% of marine methane emissions, despite covering only 15% of the ocean surface area. In these ecosystems, the tight balance between methane production and oxidation in sediments prevents most methane from escaping into seawater. However, anthropogenic activities could disrupt this balance, leading to an increased methane escape from coastal sediments. To quantify and unravel potential mechanisms underlying this disruption, we used a suite of biogeochemical and microbiological analyses to investigate the impact of anthropogenically induced redox shifts on methane cycling in sediments from three sites with contrasting bottom water redox conditions (oxic-hypoxic-euxinic) in the eutrophic Stockholm Archipelago. Our results indicate that the methane production potential increased under hypoxia and euxinia, while anaerobic oxidation of methane was disrupted under euxinia. Experimental, genomic, and biogeochemical data suggest that the virtual disappearance of methane-oxidizing archaea at the euxinic site occurred due to sulfide toxicity. This could explain a near 7-fold increase in the extent of escape of benthic methane at the euxinic site relative to the hypoxic one. In conclusion, these insights reveal how the development of euxinia could disrupt the coastal methane biofilter, potentially leading to increased methane emissions from coastal zones.
Keyphrases
- anaerobic digestion
- heavy metals
- carbon dioxide
- climate change
- sewage sludge
- human health
- risk assessment
- machine learning
- oxidative stress
- genome wide
- endothelial cells
- nitric oxide
- wastewater treatment
- hydrogen peroxide
- single cell
- mass spectrometry
- diabetic rats
- deep learning
- electron transfer
- drug induced
- functional connectivity
- tandem mass spectrometry
- virtual reality