Evidence map›Paper›PMID 40560930›Full record

ArticlePLoS biology2025

Ancestral [Fe-S] biogenesis system SMS has a unique mechanism of cluster assembly and sulfur utilization.

Macha Dussouchaud, Markel Martinez-Carranza, Pierre-Simon Garcia, Martin Clémancey, Geneviève Blondin, Jean Michel Betton, Ahmed Haouz, Simonetta Gribaldo, Sandrine Ollagnier de Choudens, Ludovic Sauguet and 2 more

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A minimal SufBMicrobiology spectrum · 2025
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Macha DussouchaudDepartment of Microbiology, Unit Stress Adaptation and Metabolism in Enterobacteria, Institut Pasteur, Université Paris Cité, UMR CNRS 6047, Paris, France.
Markel Martinez-CarranzaDepartment of Structural Biology, Unit Architecture and Dynamics of Biological Macromolecules, Institut Pasteur, Université Paris Cité, UMR CNRS 3528, Paris, France.
Pierre-Simon GarciaDepartment of Microbiology, Unit Evolutionary Biology of the Microbial Cell, Institut Pasteur, Université Paris Cité, Paris, France.
Martin ClémanceyUniversité Grenoble Alpes, CNRS, CEA, IRIG, Laboratoire de Chimie et Biologie des Métaux, Grenoble, France.
Geneviève BlondinUniversité Grenoble Alpes, CNRS, CEA, IRIG, Laboratoire de Chimie et Biologie des Métaux, Grenoble, France.
Jean Michel BettonDepartment of Microbiology, Unit Stress Adaptation and Metabolism in Enterobacteria, Institut Pasteur, Université Paris Cité, UMR CNRS 6047, Paris, France.
Ahmed HaouzCenter for Technological Resources and Research, Institut Pasteur, Université Paris Cité, UMR CNRS 3528, Paris, France.
Simonetta GribaldoDepartment of Microbiology, Unit Evolutionary Biology of the Microbial Cell, Institut Pasteur, Université Paris Cité, Paris, France.
Sandrine Ollagnier de ChoudensUniversité Grenoble Alpes, CNRS, CEA, IRIG, Laboratoire de Chimie et Biologie des Métaux, Grenoble, France.
Ludovic SauguetDepartment of Structural Biology, Unit Architecture and Dynamics of Biological Macromolecules, Institut Pasteur, Université Paris Cité, UMR CNRS 3528, Paris, France.
Ariel MechalyCenter for Technological Resources and Research, Institut Pasteur, Université Paris Cité, UMR CNRS 3528, Paris, France.
Frédéric BarrasDepartment of Microbiology, Unit Stress Adaptation and Metabolism in Enterobacteria, Institut Pasteur, Université Paris Cité, UMR CNRS 6047, Paris, France.ORCID 0000-0003-3458-2574

Funding

Agence Nationale de la RechercheCentre National Recherche ScientifiqueEuropean Cooperation in Science and Technology FeSImmChemNetInstitut PasteurUniversité Paris Descartes
6 · The paper itself

Abstract

[Fe-S] clusters are ancient and ubiquitous protein co-factors, which contributed to the emergence of life in an anoxic planet. We have recently identified two minimal [Fe-S] biogenesis systems, MIS and SMS, inferred to be ancestral systems dating back to the Last Universal Common Ancestor and which gave rise to the well-studied modern Iron-Sulfur Cluster (ISC), Nitrogen Fixation (NIF), and Sulfur Mobilization (SUF) machineries. The present study focuses on the ancestor SMS from the hyperthermophilic archaeon Methanocaldococcus jannaschii. Biochemical and structural studies showed that SMS is made of a SmsC2B2 heterotetratmer wherein the SmsC subunit hosts both ATP and [Fe-S] cluster binding sites. Binding of ATP and assembly of [Fe-S] were found to be mutually exclusive allowing for a regulatory coupling between binding of both substrates. Mutagenesis and in vitro transfer experiments revealed the key role of SmsC-contained Cys residues in cluster assembly. Strikingly, the SMS system rescued a non-viable Escherichia coli strain lacking endogenous ISC and SUF systems grown under anoxic conditions, in the presence of Na2S, indicating that sulfide is a source of sulfur for SMS. In addition, we predict that most archaea SmsC proteins hold a similar C-terminal [Fe-S] cluster assembly site. Taking into account those unique structural and functional features, we propose a mechanistic model describing how SmsC2B2 assembles and distributes [4Fe-4S] clusters. Altogether this study established SMS as a new bona fide [Fe-S] biogenesis system that operated in anaerobic prokaryotes prior to evolve to SUF after the Great Oxydation Event.

Indexed as

Archaeal ProteinsIron-Sulfur ProteinsMethanocaldococcusSulfurAdenosine TriphosphateBinding SitesEscherichia coliIronNitrogen FixationAdenosine TriphosphateArchaeal ProteinsIronIron-Sulfur ProteinsSulfur

Identifiers

PMID40560930
PMCPMC12192291

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.