ArticleNature communications2025
Uncovering dynamic transcriptional regulation of methanogenesis via single-cell imaging of archaeal gene expression.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A dual methane production mechanism mediated by enzymatic catalysis and the Fenton reaction in the wood-rotting fungusApplied and environmental microbiology · 2026Article
- A C39-like protein from methanogenic archaea: structural insights and functional divergence in β-galactose analogue degradation.Frontiers in microbiology · 2026Article
- Microbial Communities Drive Methane Fluxes From Floodplain Lakes-A Hydrological Gradient Perspective.Environmental microbiology · 2025Article
- Uncovering dynamic transcriptional regulation of methanogenesis via single-cell imaging of archaeal gene expression.Nature communications · 2025Article
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Authors and funding
9 authors.
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Abstract
Archaeal methanogenesis is a dynamic process regulated by various cellular and environmental signals. However, understanding this regulation is technically challenging due to the difficulty of measuring gene expression dynamics in individual archaeal cells. Here, we develop a multi-round hybridization chain reaction (HCR)-assisted single-molecule fluorescence in situ hybridization (FISH) method to quantify the transcriptional dynamics of 12 genes involved in methanogenesis in individual cells of Methanococcoides orientis. Under optimal growth condition, most of these genes appear to be expressed in a temporal order matching metabolic reaction order. Interestingly, an important environmental factor, Fe(III), stimulates cellular methane production without upregulating methanogenic gene expression, likely through a Fenton-reaction-triggered mechanism. Through single-cell clustering and kinetic analyses, we associate these gene expression patterns to a dynamic mixture of distinct cellular states, potentially regulated by a set of shared factors. Our work provides a quantitative framework for uncovering the mechanisms of metabolic regulation in archaea.
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