Promethearchaeota Persistence in Marine Sediments Frozen for Over 100 kyr https://enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/1462-2920.70277?af=R
Cameron Thrash
- 227 Followers
- 117 Following
- 6.8K Posts
Professor, USC Marine and Environmental Biology, microbe hunter. Not a bot. he/him
High nitrogen fixation and Braarudosphaera presence in the North Sea https://aslopubs.onlinelibrary.wiley.com/doi/10.1002/lno.70331?af=R
Reduction of Hypoiodous Acid by Shewanella oneidensis MR‐1 Using Extracellular Electron Transfer Components https://enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/1462-2920.70281?af=R
Accurate prediction of flux distributions compatible with metabolite concentration effects in genome-scale metabolic networks https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1014066
Accurate prediction of flux distributions compatible with metabolite concentration effects in genome-scale metabolic networks
Author summary Although intracellular fluxes shape the physiology of every organism, we still lack approaches for their accurate, high-throughput estimation. Here we show that a hybrid approach, that combines machine learning with enzyme-constrained metabolic models, can effectively address this challenge and allow accurate prediction of intracellular fluxes at a genome scale across diverse experimental scenarios with usage of proteomics data alone. The hybrid approach relies on deriving metabolite concentration effects from a training set of fluxomic and proteomic data, and uses machine learning models to predict these effects in a transferrable and interpretable fashion. The hybrid approach expands the applicability of enzyme-constrained metabolic models that are becoming available across diverse species.
Potential for Manganese Oxide Driven Anaerobic Methane Oxidation in Sediments of a Seasonally Euxinic Coastal Basin https://link.springer.com/article/10.1007/s12237-026-01685-7
Potential for Manganese Oxide Driven Anaerobic Methane Oxidation in Sediments of a Seasonally Euxinic Coastal Basin - Estuaries and Coasts
Methane (CH4) is a strong greenhouse gas that, in marine sediments, is produced via methanogenesis and removed via oxidation with electron acceptors such a
The archaeal roots of eukaryotic life https://www.pnas.org/doi/abs/10.1073/pnas.2516062123?af=R
Assimilatory N2O reduction by Nostoc sp. strain MS1 isolated from a river: insights from genome and 15N tracer analysis https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2026.1759539/full
Frontiers | Assimilatory N2O reduction by Nostoc sp. strain MS1 isolated from a river: insights from genome and 15N tracer analysis
Direct evidence for the assimilation of nitrous oxide (N₂O), a potent greenhouse gas, by freshwater cyanobacteria has been lacking. Here, we report a cyanoba...
An enhanced domestication method for uncultured bacteria https://academic.oup.com/ismecommun/advance-article/doi/10.1093/ismeco/ycag062/8524680?rss=1&login=false
Marine particles and their remineralization buffer future ocean biogeochemistry response to climate warming https://bg.copernicus.org/articles/23/1897/2026/
Marine particles and their remineralization buffer future ocean biogeochemistry response to climate warming
Abstract. Transport and fate of particulate organic carbon (POC) and nutrients through marine particles co-determine the future response of ocean biogeochemistry and oceanic carbon uptake under climate warming. This makes the parametrization of the biological carbon pump in Earth system models (ESMs) an important model component and motivates us to compare the recently developed, particle composition-dependent sinking scheme (M4AGO; Maerz et al., 2020) to the current CMIP6 default Martin curve-like sinking scheme in MPI-ESM1.2-LR (see Mauritsen et al., 2019) under the future shared socio-economic pathway high-emission scenario SSP5-8.5. In their global response, the two model versions are similar, showing a decrease of integrated net primary production between the historical (1985–2014) and future (2070–2099) period of about 8.1 % and 9.7 % for the CMIP6 and M4AGO version, respectively. However, the models response differs latitudinally. In M4AGO, the temperature-dependent remineralization offsets the future increase in sinking velocity caused by a higher CaCO3 to POC ratio in the low latitudes. There, M4AGO thus buffers the export loss of nutrients to the mesopelagic, visible in little future changes of the export to net primary production ratio (the peg ratio), while the CMIP6 version shows more pronounced changes with regionally declining or increasing peg ratio. In the Arctic Ocean, the projected future increase of net primary production in the CMIP6 version is diminished with M4AGO through its higher POC transfer efficiency in high latitude regions. Hence, the more mechanistic and to environmental changes-responding M4AGO scheme shows a stronger buffering regional response to climate warming than the CMIP6 model version. The higher transfer efficiency leads to enhanced CO2 uptake in high latitude regions while the tropical regions turn later into a net sink with M4AGO compared to the standard CMIP6 version. Next to ballasting, we identified the particle microstructure as vigorous determinant for future changes of POC sinking velocity. Microstructure co-determines particle porosity and particle density. Processes governing the microstructure thus can be regarded as decisive to understand for reducing uncertainty of future POC fluxes.
A Foundation for Advancing Studies of the Biodegradation of Polyethylene Surrogates by Environmental and Model Laboratory Microbes https://enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/1758-2229.70319?af=R