Integrated Approach to Investigate Magnetite Cycle in Marine Methanic Sediments
Rivlin, A.; Bosco, A.; Boyko, V.; Shaar, R.; Zemach, Y.; Herut, B.; Henkel, S.; Weiss-Sarusi, K.; Sivan, O.
Show abstract
Magnetite (Fe3O4), a ubiquitous sedimentary iron mineral, is crucial for paleomagnetic records preservation. However, reactive ferric iron minerals, including magnetite, can undergo reduction in aquatic sediments above and within the sulfidic zone and at the Sulfate-Methane Transition Zone (SMTZ), resulting in the production of dissolved ferrous iron. Partial reoxidation of the reduced iron at the oxic-anoxic interface can lead to authigenic magnetite precipitation. Yet, magnetite persistence and behavior in deeper methanic sediments have remained poorly understood. Here we explore magnetite dynamics in different sub-methanic zones (deeper, middle and upper) of Mediterranean continental shelf sediments, including the potential for its authigenic precipitation. Sequential extractions revealed increasing magnetite concentrations accompanied by low-temperature magnetization (Verwey transition). First-order reversal curve (FORC) analyses supported nanoscale authigenic magnetite presence. The results highlight a net increase in single-domain magnetite in the middle methanic zone with declines in the upper and deeper zones. Microbial analyses pointed to iron reduction throughout the methanic zone, alongside potential precipitation of magnetite and a decline in methanogenesis functional genes. Sediment incubations with spiked 57Fe-ferrihydrite showed gross precipitation of isotopically enriched 57Fe-magnetite in the upper methanic zone. Our combined findings distinguish between gross and net magnetite precipitation, suggesting authigenic magnetite formation within the methanic zone, with reshaping and smoothing of the original magnetic signal. They also emphasize the limitations of relying on a single-method approach to unravel such complex processes. We propose that the methanic zone plays a critical role in the early diagenesis of magnetic minerals, driven by dynamic cycles of magnetite dissolution and authigenic precipitation.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Patterns of siderophore production and utilization at Station ALOHA from the surface to mesopelagic waters 96%
- Particle-associated and free-living microbial assemblages are distinct in a permanently redox-stratified freshwater lake 96%
- Seasonal patterns in b-vitamins and cobalamin co-limitation in the Northwest Atlantic 95%
Similar papers in this journal
- Sediments from a seasonally euxinic coastal ecosystem show high nitrogen cycling potential 97%
- Marine cold seep ANME-2/SRB consortia produce their lipid biomass from inorganic carbon 97%
- Spatially-resolved correlative microscopy and microbial identification reveals dynamic depth- and mineral-dependent anabolic activity in salt marsh sediment 97%
Similar papers in this journal
- Drivers of methane-cycling archaeal abundances, community structure, and catabolic pathways in continental margin sediments 98%
- Glacial runoff promotes deep burial of sulfur cycling-associated microorganisms in marine sediments 97%
- Multiple groups of methanotrophic bacteria mediate methane oxidation in anoxic lake sediments 97%
Similar papers in this journal
- A ubiquitous and diverse methanogenic community drives microbial methane cycling in eutrophic coastal sediments 98%
- Seasonal dynamics of the microbial methane filter in the water column of a eutrophic coastal basin 96%
- Exploring methanogenic archaea and their thermal responses in the glacier-fed stream sediments of Rongbuk River Basin, Mt. Everest 96%
Similar papers in this journal
- Recovering short DNA fragments from minerals and marine sediments: a comparative study evaluating lysis and isolation approaches 94%
- Contrasting dynamics and biotic association networks in estuarine microbenthic communities along an environmental disturbance gradient 94%
- Comparative analysis of zooplankton diversity in freshwaters: What can we gain from metagenomic analysis? 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.