Abstract
Iron–sulfur (Fe–S) clusters are ubiquitous cofactors essential for life. It is largely thought that the emergence of oxygenic photosynthesis and progressive oxygenation of the atmosphere led to the origin of multiprotein machineries (ISC, NIF and SUF) assisting Fe–S cluster synthesis in the presence of oxidative stress and shortage of bioavailable iron. However, previous analyses have left unclear the origin and evolution of these systems. Here, we combine exhaustive homology searches with genomic context analysis and phylogeny to precisely identify Fe–S cluster biogenesis systems in over 10,000 archaeal and bacterial genomes. We highlight the existence of two additional and clearly distinct ‘minimal’ Fe–S cluster assembly machineries, MIS (minimal iron–sulfur) and SMS (SUF-like minimal system), which we infer in the last universal common ancestor (LUCA) and we experimentally validate SMS as a bona fide Fe–S cluster biogenesis system. These ancestral systems were kept in archaea whereas they went through stepwise complexification in bacteria to incorporate additional functions for higher Fe–S cluster synthesis efficiency leading to SUF, ISC and NIF. Horizontal gene transfers and losses then shaped the current distribution of these systems, driving ecological adaptations such as the emergence of aerobic lifestyles in archaea. Our results show that dedicated machineries were in place early in evolution to assist Fe–S cluster biogenesis and that their origin is not directly linked to Earth oxygenation.
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Data availability
Supplementary data are available at https://figshare.com/articles/dataset/Garcia_et_al_2022_Supplementary_data/20209877. Source data are provided with this paper.
References
Fontecave, M. Iron–sulfur clusters: ever-expanding roles. Nat. Chem. Biol. 2, 171–174 (2006).
Roche, B. et al. Reprint of: Iron/sulfur proteins biogenesis in prokaryotes: formation, regulation and diversity. Biochim Biophys. Acta 187, 923–937 (2013).
Braymer, J. J., Freibert, S. A., Rakwalska-Bange, M. & Lill, R. Mechanistic concepts of iron–sulfur protein biogenesis in biology. Biochim Biophys. Acta Mol. Cell Res. 1868, 118863 (2021).
Tsaousis, A. D. On the origin of iron/sulfur cluster biosynthesis in eukaryotes. Front Microbiol. 10, 2478 (2019).
Py, B. & Barras, F. Building Fe–S proteins: bacterial strategies. Nat. Rev. Microbiol. 8, 436–446 (2010).
Gao, F. Iron–sulfur cluster biogenesis and iron homeostasis in cyanobacteria. Front Microbiol. 11, 165 (2020).
Wächtershäuser, G. Groundworks for an evolutionary biochemistry: the iron–sulphur world. Prog. Biophys. Mol. Biol. 58, 85–201 (1992).
Imlay, J. A. Iron–sulphur clusters and the problem with oxygen. Mol. Microbiol. 59, 1073–1082 (2006).
Andreini, C., Rosato, A. & Banci, L. The relationship between environmental dioxygen and iron–sulfur proteins explored at the genome level. PLoS ONE 12, e0171279 (2017).
Tokumoto, U., Kitamura, S., Fukuyama, K. & Takahashi, Y. Interchangeability and distinct properties of bacterial Fe–S cluster assembly systems: functional replacement of the isc and suf operons in Escherichia coli with the nifSU-like operon from Helicobacter pylori. J. Biochem. 136, 199–209 (2004).
Boyd, E. S., Thomas, K. M., Dai, Y., Boyd, J. M. & Outten, F. W. Interplay between oxygen and Fe–S cluster biogenesis: insights from the Suf pathway. Biochemistry 53, 5834–5847 (2014).
Deere, T. M., Prakash, D., Lessner, F. H., Duin, E. C. & Lessner, D. J. Methanosarcina acetivorans contains a functional ISC system for iron–sulfur cluster biogenesis. BMC Microbiol. 20, 323 (2020).
Olson, J. W., Agar, J. N., Johnson, M. K. & Maier, R. J. Characterization of the NifU and NifS Fe–S cluster formation proteins essential for viability in Helicobacter pylori. Biochemistry 39, 16213–16219 (2000).
Hug, L. A. et al. A new view of the tree of life. Nat. Microbiol. 1,16048 (2016).
Dombrowski, N., Lee, J. H., Williams, T. A., Offre, P. & Spang, A. Genomic diversity, lifestyles and evolutionary origins of DPANN archaea. FEMS Microbiol. Lett. 366, fnz008 (2019).
Liu, Y., Sieprawska-Lupa, M., Whitman, W. B. & White, R. H. Cysteine is not the sulfur source for iron–sulfur cluster and methionine biosynthesis in the methanogenic archaeon Methanococcus maripaludis. J. Biol. Chem. 285, 31923–31929 (2010).
Trotter, V. et al. The CsdA cysteine desulphurase promotes Fe/S biogenesis by recruiting Suf components and participates to a new sulphur transfer pathway by recruiting CsdL (ex-YgdL), a ubiquitin-modifying-like protein. Mol. Microbiol. 74, 1527–1542 (2009).
Gribaldo, S., Talla, E. & Brochier-Armanet, C. Evolution of the haem copper oxidases superfamily: a rooting tale. Trends Biochem. Sci. 34, 375–381 (2009).
Brochier-Armanet, C., Talla, E. & Gribaldo, S. The multiple evolutionary histories of dioxygen reductases: implications for the origin and evolution of aerobic respiration. Mol. Biol. Evol. 26, 285–297 (2009).
Jabłońska, J. & Tawfik, D. S. The evolution of oxygen-utilizing enzymes suggests early biosphere oxygenation. Nat. Ecol. Evol. 5, 442–448 (2021).
Hyatt, D. et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinf. 11, 119 (2010).
Jain, C., Rodriguez-R, L. M., Phillippy, A. M., Konstantinidis, K. T. & Aluru, S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat. Commun. 9, 5114 (2018).
Fu, L., Niu, B., Zhu, Z., Wu, S. & Li, W. CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 28, 3150–3152 (2012).
Altschul, S. F. et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25, 3389–3402 (1997).
Katoh, K. & Standley, D. M. MAFFT Multiple Sequence Alignment Software Version 7: improvements in performance and usability. Mol. Biol. Evol. 30, 772–780 (2013).
Eddy, S. R. Accelerated profile HMM searches. PLoS Comput. Biol. 7, e1002195 (2011).
Price, M.N., Dehal, P.S. & Arkin, A.P. FastTree 2—approximately maximum-likelihood trees for large alignments. PLoS ONE 5, e9490 (2010).
Criscuolo, A. & Gribaldo, S. BMGE (Block Mapping and Gathering with Entropy): a new software for selection of phylogenetic informative regions from multiple sequence alignments. BMC Evol. Biol. 10, 210 (2010).
Leigh, J. W., Schliep, K., Lopez, P. & Bapteste, E. Let them fall where they may: congruence analysis in massive phylogenetically messy data sets. Mol. Biol. Evol. 28, 2773–2785 (2011).
Adam, P. S., Borrel, G. & Gribaldo, S. Evolutionary history of carbon monoxide dehydrogenase/acetyl-CoA synthase, one of the oldest enzymatic complexes. Proc. Natl Acad. Sci. USA 115, E1166–E1173 (2018).
Coleman, G. A. et al. A rooted phylogeny resolves early bacterial evolution. Science 372, eabe0511 (2021).
Raymann, K., Brochier-Armanet, C. & Gribaldo, S. The two-domain tree of life is linked to a new root for the Archaea. Proc. Natl Acad. Sci. USA 112, 6670–6675 (2015).
Nguyen, L.-T., Schmidt, H. A., von Haeseler, A. & Minh, B. Q. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 32, 268–274 (2015).
Wang, H. C., Minh, B. Q., Susko, E. & Roger, A. J. Modeling site heterogeneity with posterior mean site frequency profiles accelerates accurate phylogenomic estimation. Syst. Biol. 67, 216–235 (2018).
Garcia, P. S., Jauffrit, F., Grangeasse, C. & Brochier-Armanet, C. GeneSpy, a user-friendly and flexible genomic context visualizer. Bioinformatics 35, 329–331 (2019).
Letunic, I. & Bork, P. Interactive Tree of Life (iTOL) v4: recent updates and new developments. Nucleic Acids Res. 47, W256–W259 (2019).
Wahl, A., My, L., Dumoulin, R., Sturgis, J. N. & Bouveret, E. Antagonistic regulation of dgkA and plsB genes of phospholipid synthesis by multiple stress responses in Escherichia coli. Mol. Microbiol. 80, 1260–1275 (2011).
Gully, D. & Bouveret, E. A protein network for phospholipid synthesis uncovered by a variant of the tandem affinity purification method in Escherichia coli. Proteomics 6, 282–293 (2006).
fish, W. W. Rapid colorimetric micromethod for the quantitation of complexed iron in biological samples. Methods Enzymol. 158, 357–364 (1988).
Beinert, H. Semi-micro methods for analysis of labile sulfide and of labile sulfide plus sulfane sulfur in unusually stable iron–sulfur proteins. Anal. Biochem. 131, 373–378 (1983).
Gardner, P. R. & Fridovich, I. Inactivation–reactivation of aconitase in Escherichia coli. A sensitive measure of superoxide radical. J. Biol. Chem. 267, 8757–8763 (1992).
Karimova, G., Pidoux, J., Ullmann, A. & Ladant, D. A bacterial two-hybrid system based on a reconstituted signal transduction pathway. Proc. Natl Acad. Sci. USA 95, 5752–5756 (1998).
Acknowledgements
We thank members of the SAMe and of the EBMC units for discussion. This project was supported by Institut Pasteur and CNRS and by grants from the ANR-10-LABX-62-IBEID, the LabEx ARCANE (ANR-11-LABX-0003–01) and the CBH- EUR-GS (ANR-17-EURE-0003).
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P.S.G., F.D., E.B., S.O.d.C., S.G. and F.B. designed the experiment. P.S.G., F.D., S.O.d.C. and M.D. performed the experiments. P.S.G., F.D., S.O.d.C., E.B., S.G. and F.B. analysed the data. P.S.G., S.G. and F.B. wrote the manuscript. P.S.G., S.G. and F.B. revised the manuscript.
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Extended data
Extended Data Fig. 1 Biochemical analysis of SMS system.
A. Production of SMS hybrid fusion proteins used for Bacterial 2-hybrid. E. coli strains transformed with the indicated plasmids were grown in LB at 37 °C and expression was induced with 0.5 mM IPTG for two hours. Total cell extracts were separated on a 10% SDS–PAGE and proteins were detected by Western blot with an anti-T18 monoclonal antibody (sc-13582, Santa Cruz) or an anti-T25 polyclonal antibody (gift from D. Ladant). B. Quantification of the two-hybrid assay. BTH101 strain transformed by the indicated two-hybrid plasmids together with a placZ-GFP compatible plasmid were incubated overnight at 30 °C in LB supplemented with 0.5 mM IPTG. The activities correspond to the ratio between GFP fluorescence and the OD600 of 4 replicates and are given in arbitrary units (A.U.). The mean is represented and the error bars stand for standard deviations. C. UV-visible spectroscopy analysis of reconstituted Methanococcus jannaschii SmsCB (2.3 mg/ml) in 100 mM Tris-HCL, 150 mM NaCl pH 8. Iron and sulfur content: 3.7 ± 0.1 Fe and 3.5 ± 0.15 S/ SufC2B2.
Extended Data Fig. 2 Taxonomic distribution of all components of the five different systems on the phylogeny (cladogram) of Bacteria.
Bootstrap values > 80% are indicated by dots on branches. The size of dots corresponds to the ratio of presence of each system in each clade/phylum. The colour of dots corresponds to the biochemical role of each component as in Fig. 1.
Extended Data Fig. 3 Taxonomic distribution of all components of the five different systems on the phylogeny (cladogram) of Archaea.
Bootstrap values > 80% are indicated by dots on branches. The size of dots corresponds to the ratio of presence of each system in each clade/phylum. The colour of dots corresponds to the biochemical role of each component as in Fig. 1.
Extended Data Fig. 4 Taxonomic distribution of components of ISC and SUF on the phylogeny (cladogram) of Gammaproteobacteria.
Bootstrap values > 80% are indicated by dots on branches. Black squares correspond to the presence of at least one sequence.
Extended Data Fig. 5 Full phylogenetic tree of SUF/SMS (phylogram), corresponding to Fig. 4a.
Colours of branches correspond to the colour scheme used in Fig. 3 (Bacteria: Terrabacteria: marine blue, Gracilicutes: light blue, CPR: dark blue, Fusobacteria: grey blue; Archaea: Cluster I: orange and II: red). Bootstrap values > 80% are indicated by dots on branches. The scale bar indicates the average of number substitutions per site. The genomic context of genes coding for SUF and SMS components is indicated in front of the tree, centred around SufB and SmsB (brown and light brown, respectively). SufA: pink, SufC: yellow, SufD: dark green, SufS: light blue, SufE: turquoise SufT: dark blue, SufU: violet, SmsC: light green).
Extended Data Fig. 6 Phylogeny of SufS.
Bootstrap values > 80% are indicated by dots on branches. The scale bar indicates the average number of substitutions per site. Colour of leaves corresponds to major groups in Bacteria (Terrabacteria: marine blue, Gracilicutes: light blue, CPR: dark blue, Fusobacteria: grey blue) and in Archaea (Cluster I: orange and II: red). The group of gammaproteobacterial CsdA is indicated by a grey rectangle.
Extended Data Fig. 7 Phylogeny of SufU.
Bootstrap values > 80% are indicated by dots on branches. The scale bar indicates the average number of substitutions per site. Colour of leaves corresponds to major groups in Bacteria (Terrabacteria: marine blue, Gracilicutes: light blue, CPR: dark blue, Fusobacteria: grey blue) and in Archaea (Cluster I: orange and II: red).
Extended Data Fig. 8 Phylogeny of SufE.
Bootstrap values > 80% are indicated by dots on branches. The scale bar indicates the average number of substitutions per site. Colour of leaves corresponds to major groups in Bacteria (Terrabacteria: marine blue, Gracilicutes: light blue, CPR: dark blue, Fusobacteria: grey blue) and in Archaea (Cluster I: orange and II: red). The group of gammaproteobacterial CsdE is indicated by a grey rectangle.
Extended Data Fig. 9 Phylogenetic trees of MIS/NIF.
Left panel: phylogeny of MisS/NifS. The genomic context of genes of MIS/NIF is indicated in front of the tree, using MisS/NifS as markers (MisS: light red, MisU: blue, NifS: dark green, NifU: dark blue). Right panel: phylogeny of a concatenation of NifU/NifS and the closest group of MisU/MisS. The genomic context of genes of MIS/NIF is indicated in front of the tree, using MisS/NifS as markers (MisS: dark brown, MisU: light brown, NifS: light blue, NifU: dark blue, IscAnif: violet, other Nif genes (ClpX, CysE1, NifB, NifD, NIfE, NifF, NifH, NifK, NifM, NifN, NifQ, NifV, NifW, NifX, NifZ): grey). Bootstrap values > 80% are indicated by dots on branches. The scale bar indicates the average of number of substitutions per site. Colour of leaves corresponds to phyla or classes for Proteobacteria.
Extended Data Fig. 10 Full phylogenetic tree of the ISC system based on the concatenation of IscS, IscU, IscX, HscA, HscB, CyaY, and Fdx.
Bootstrap values > 80% are indicated by dots on branches. The scale bar indicates the average number of substitutions per site. Colour of leaves corresponds to phyla or classes for Proteobacteria. The genomic context of genes of ISC is indicated in front of the tree, using IscU as a marker (IscS: cyan, IscU: blue, IscA: dark green, HscB: light green, HscA: yellow, Fdx: brown, CyaY: violet).
Supplementary information
Supplementary Information
Supplementary Figs. 1 and 2 and discussion.
Supplementary Tables
Supplementary Table 1: Taxonomic distribution of the different components of Fe–S synthesis machineries identified in the 10,865 prokaryote genomes. A total of 4,027 proteomes were not annotated by the NCBI pipeline and have been annotated using Prodigal. The identifiers in format X.n_m correspond to identifiers generated by Prodigal. Supplementary Table 2: List of prokaryote genomes subsampled for phylogenetic analyses. Supplementary Table 3: List of the analysed archaeal and bacterial genomes. Supplementary Table 4: Absence/presence of SUF, MIS and SMS components and six conserved Fe–S proteins in lactobacillales genomes with a ‘Chromosome’ or ‘Complete genome’ status. The number of copies for each protein is indicated (grey cases correspond to at least one copy). Genomes with no Fe–S biogenesis system and no conserved Fe–S protein are framed. Supplementary Table 5: Models predicted by IQ-TREE for the different datasets. Supplementary Table 6: E. coli strains, plasmids and oligonucleotides used in this study. Supplementary Table 7: List of SmsB and SmsC used for functional analysis.
Source data
Source Data
Unprocessed gels for Fig. 2b.
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Garcia, P.S., D’Angelo, F., Ollagnier de Choudens, S. et al. An early origin of iron–sulfur cluster biosynthesis machineries before Earth oxygenation. Nat Ecol Evol 6, 1564–1572 (2022). https://doi.org/10.1038/s41559-022-01857-1
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DOI: https://doi.org/10.1038/s41559-022-01857-1
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