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Open AccessJournal ArticleDOI

Archaea catalyze iron-dependent anaerobic oxidation of methane

TLDR
This study identifies archaea of the order Methanosarcinales, related to “Candidatus Methanoperedens nitroreducens,” which couple the reduction of environmentally relevant particulate forms of iron and manganese to methane oxidation, filling one of the remaining lacunas in anaerobic methane oxidation.
Abstract
Anaerobic oxidation of methane (AOM) is crucial for controlling the emission of this potent greenhouse gas to the atmosphere. Nitrite-, nitrate-, and sulfate-dependent methane oxidation is well-documented, but AOM coupled to the reduction of oxidized metals has so far been demonstrated only in environmental samples. Here, using a freshwater enrichment culture, we show that archaea of the order Methanosarcinales, related to “Candidatus Methanoperedens nitroreducens,” couple the reduction of environmentally relevant forms of Fe^(3+) and Mn^(4+) to the oxidation of methane. We obtained an enrichment culture of these archaea under anaerobic, nitrate-reducing conditions with a continuous supply of methane. Via batch incubations using [^(13)C]methane, we demonstrated that soluble ferric iron (Fe^(3+), as Fe-citrate) and nanoparticulate forms of Fe^(3+) and Mn^(4+) supported methane-oxidizing activity. CO_2 and ferrous iron (Fe^(2+)) were produced in stoichiometric amounts. Our study connects the previous finding of iron-dependent AOM to microorganisms detected in numerous habitats worldwide. Consequently, it enables a better understanding of the interaction between the biogeochemical cycles of iron and methane.

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Citations
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The microbial nitrogen-cycling network

TL;DR: This Review summarizes the current understanding of the microbial nitrogen-cycling network, including novel processes, their underlying biochemical pathways, the involved microorganisms, their environmental importance and industrial applications.
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Syntrophy Goes Electric: Direct Interspecies Electron Transfer

TL;DR: The finding that DIET can serve as the source of electrons for anaerobic photosynthesis further broadens its potential environmental significance.
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Methane Feedbacks to the Global Climate System in a Warmer World

TL;DR: In this article, the authors synthesize biological, geochemical, and physically focused CH4 climate feedback literature, bringing together the key findings of these disciplines, and discuss environment-specific feedback processes, including the microbial, physical, and geochemical interlinkages and the timescales on which they operate.
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An evolving view of methane metabolism in the Archaea.

TL;DR: This Review examines the diversity, metabolism and evolutionary history of mcr-containing archaea in new euryarchaeotal lineages and novel archaeal phyla and highlights the evolutionary relationships of key enzymes with recently discovered alkane-oxidizing archaea.
References
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Journal ArticleDOI

MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: An advanced version of the Molecular Evolutionary Genetics Analysis software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, is released, which enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny.

Brief Communication MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: The Molecular Evolutionary Genetics Analysis (MEGA) software as discussed by the authors provides facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, including the inference of timetrees.
Journal ArticleDOI

Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

TL;DR: A new membrane protein topology prediction method, TMHMM, based on a hidden Markov model is described and validated, and it is discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C-in topologies.
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