Cited by 13Photoreceptor and optogenetics researchPorphyrin Metabolism and DisordersMetalloenzymes and iron-sulfur proteins

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Photocobilins integrate B12 and bilin photochemistry for enzyme control

Open access

Published version of a preprint

Abstract

Photoreceptor proteins utilise chromophores to sense light and trigger a biological response. The discovery that adenosylcobalamin (or coenzyme B 12 ) can act as a light-sensing chromophore heralded a new field of B 12 -photobiology. Although microbial genome analysis indicates that photoactive B 12 -binding domains form part of more complex protein architectures, regulating a range of molecular–cellular functions in response to light, experimental evidence is lacking. Here we identify and characterise a sub-family of multi-centre photoreceptors, termed photocobilins, that use B 12 and biliverdin (BV) to sense light across the visible spectrum. Crystal structures reveal close juxtaposition of the B 12 and BV chromophores, an arrangement that facilitates optical coupling. Light-triggered conversion of the B 12 affects quaternary structure, in turn leading to light-activation of associated enzyme domains. The apparent widespread nature of photocobilins implies involvement in light regulation of a wider array of biochemical processes, and thus expands the scope for B 12 photobiology. Their characterisation provides inspiration for the design of broad-spectrum optogenetic tools and next generation bio-photocatalysts.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-024-46995-1

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 54

  1. Reshetnikov, V. V., Smolskaya, S. V., Feoktistova, S. G. & Verkhusha, V. V. Optogenetic approaches in biotechnology and biomaterials. Trends Biotechnol. 40, 858–874 (2022). · DOI
  2. Ortiz-Guerrero, J. M., Polanco, M. C., Murillo, F. J., Padmanabhan, S. & Elias-Arnanz, M. Light-dependent gene regulation by a coenzyme B12-based photoreceptor. Proc. Natl. Acad. Sci. USA 108, 7565–7570 (2011). · DOI
  3. Gruber, K., Puffer, B. & Krautler, B. Vitamin B12-derivatives-enzyme cofactors and ligands of proteins and nucleic acids. Chem. Soc. Rev. 40, 4346–4363 (2011). · DOI
  4. Jost, M. et al. Structural basis for gene regulation by a B12-dependent photoreceptor. Nature 526, 536–541 (2015). · DOI
  5. Jost, M., Simpson, J. H. & Drennan, C. L. The transcription factor CarH safeguards use of sdenosylcobalamin as a light sensor by altering the photolysis products. Biochemistry 54, 3231–3234 (2015). · DOI
  6. Jiang, B. et al. Injectable, photoresponsive hydrogels for delivering neuroprotective proteins enabled by metal-directed protein assembly. Sci. Adv. 6, eabc4824 (2020). · DOI
  7. Narayan, O. P., Mu, X., Hasturk, O. & Kaplan, D. L. Dynamically tunable light responsive silk-elastin-like proteins. Acta Biomater. 121, 214–223 (2021). · DOI
  8. Wang, R., Yang, Z., Luo, J., Hsing, I. M. & Sun, F. B(12)-dependent photoresponsive protein hydrogels for controlled stem cell/protein release. Proc. Natl. Acad. Sci. USA 114, 5912–5917 (2017). · DOI
  9. Yang, Z. et al. B(12)-induced reassembly of split photoreceptor protein enables photoresponsive hydrogels with tunable mechanics. Sci. Adv. 8, eabm5482 (2022). · DOI
  10. Mansouri, M. et al. Smart-watch-programmed green-light-operated percutaneous control of therapeutic transgenes. Nat. Commun. 12, 3388 (2021). · DOI
  11. Chatelle, C. et al. A green-light-responsive system for the control of transgene expression in mammalian and plant cells. ACS Synth. Biol. 7, 1349–1358 (2018). · DOI
  12. Cheng, Z., Yamamoto, H. & Bauer, C. E. Cobalamin’s (Vitamin B12) surprising function as a photoreceptor. Trends Biochem. Sci. 41, 647–650 (2016). · DOI
  13. Schneider, T., Tan, Y., Li, H., Fisher, J. S. & Zhang, D. Photoglobin, a distinct family of non-heme binding globins, defines a potential photosensor in prokaryotic signal transduction systems. Comput. Struct. Biotechnol. J. 20, 261–273 (2022). · DOI
  14. Kutta, R. J. et al. The photochemical mechanism of a B12-dependent photoreceptor protein. Nat. Commun. 6, 7907 (2015). · DOI
  15. Padmanabhan, S., Jost, M., Drennan, C. L. & Elias-Arnanz, M. A new facet of vitamin B(12): gene regulation by cobalamin-based photoreceptors. Annu. Rev. Biochem. 86, 485–514 (2017). · DOI
  16. Gourinchas, G., Etzl, S. & Winkler, A. Bacteriophytochromes - from informative model systems of phytochrome function to powerful tools in cell biology. Curr. Opin. Struct. Biol. 57, 72–83 (2019). · DOI
  17. Takala, H., Edlund, P., Ihalainen, J. A. & Westenhoff, S. Tips and turns of bacteriophytochrome photoactivation. Photochem. Photobiol. Sci. 19, 1488–1510 (2020). · DOI
  18. Fushimi, K. et al. Rational conversion of chromophore selectivity of cyanobacteriochromes to accept mammalian intrinsic biliverdin. Proc. Natl. Acad. Sci. USA 116, 8301–8309 (2019). · DOI
  19. Yang, Y. et al. Ultrafast proton-coupled isomerization in the phototransformation of phytochrome. Nat. Chem. 14, 823–830 (2022). · DOI
  20. Reuter, W., Wiegand, G., Huber, R. & Than, M. E. Structural analysis at 2.2 A of orthorhombic crystals presents the asymmetry of the allophycocyanin-linker complex, AP.LC7.8, from phycobilisomes of Mastigocladus laminosus. Proc. Natl. Acad. Sci. USA 96, 1363–1368 (1999). · DOI
  21. Soni, B. R. et al. Structure of the novel 14kDa fragment of alpha-subunit of phycoerythrin from the starving cyanobacterium Phormidium tenue. J. Struct. Biol. 171, 247–255 (2010). · DOI
  22. Romling, U., Galperin, M. Y. & Gomelsky, M. Cyclic di-GMP: the first 25 years of a universal bacterial second messenger. Microbiol. Mol. Biol. Rev. 77, 1–52 (2013). · DOI
  23. Hengge, R. Principles of c-di-GMP signalling in bacteria. Nat. Rev. Microbiol. 7, 263–273 (2009). · DOI
  24. Schirmer, T. C-di-GMP synthesis: structural aspects of evolution, catalysis and regulation. J. Mol. Biol. 428, 3683–3701 (2016). · DOI
  25. Varadi, M. et al. AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. 50, D439–d444 (2022). · DOI · Paper page
  26. Poddar, H. et al. An unusual light-sensing function for coenzyme B12 in bacterial transcription regulator CarH. in Methods in Enzymology, (Academic Press, 2022). · DOI
  27. McCoy, A. J. et al. Phaser crystallographic software. J. Appl. Crystallogr. 40, 658–674 (2007). · DOI · Paper page
  28. Vagin, A. A. et al. REFMAC5 dictionary: organization of prior chemical knowledge and guidelines for its use. Acta Crystallogr. D. Biol. Crystallogr. 60, 2184–2195 (2004). · DOI
  29. Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D. Biol. Crystallogr. 60, 2126–2132 (2004). · DOI · Paper page
  30. Chen, V. B. et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D. Biol. Crystallogr. 66, 12–21 (2010). · DOI · Paper page
  31. Joosten, R. P., Long, F., Murshudov, G. N. & Perrakis, A. The PDB_REDO server for macromolecular structure model optimization. Iucrj 1, 213–220 (2014). · DOI
  32. Jacobsen, D. W., Digirolamo, P. M. & Huennekens, F. M. Adenosylcobalamin analogues as inhibitors of ribonucleotide reductase and vitamin B12 transport. Mol. Pharmacol. 11, 174–184 (1975).
  33. Kreft, J. U. & Schink, B. O-demethylation by the homoacetogenic anaerobe Holophaga foetida studied by a new photometric methylation assay using electrochemically produced cob(I)alamin. Eur. J. Biochem. 226, 945–951 (1994). · DOI
  34. Lamparter, T., Michael, N., Mittmann, F. & Esteban, B. Phytochrome from Agrobacterium tumefaciens has unusual spectral properties and reveals an N-terminal chromophore attachment site. Proc. Natl. Acad. Sci. USA 99, 11628–11633 (2002). · DOI
  35. Gasteiger E. et al. Protein Identification and Analysis Tools on the ExPASy Server. in The Proteomics Protocols Handbook (ed Walker J. M.) (Humana Press, 2005). · DOI
  36. Franke, D. & Svergun, D. I. DAMMIF, a program for rapid ab-initio shape determination in small-angle scattering. J. Appl. Crystallogr. 42, 342–346 (2009). · DOI · Paper page
  37. Petoukhov, M. V. et al. New developments in the ATSAS program package for small-angle scattering data analysis. J. Appl. Crystallogr. 45, 342–350 (2012). · DOI
  38. Li, P. & Merz, K. M. Jr. MCPB.py: a Python based metal center parameter builder. J. Chem. Inf. Modeling 56, 599–604 (2016). · DOI
  39. Salomon-Ferrer, R., Case, D. A. & Walker, R. C. An overview of the Amber biomolecular simulation package. WIREs Comput. Mol. Sci. 3, 198–210 (2013). · DOI
  40. Case, D. A. et al. The Amber biomolecular simulation programs. J. Comput. Chem. 26, 1668–1688 (2005). · DOI · Paper page
  41. Lee, C., Yang, W. & Parr, R. G. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Phys. Rev. B 37, 785–789 (1988). · DOI · Paper page
  42. Olsson, M. H. M., Søndergaard, C. R., Rostkowski, M. & Jensen, J. H. PROPKA3: consistent treatment of internal and surface residues in empirical pKa predictions. J. Chem. Theory Comput. 7, 525–537 (2011). · DOI
  43. Showalter, S. A. & Brüschweiler, R. Validation of molecular dynamics simulations of biomolecules using NMR Spin relaxation as benchmarks: application to the AMBER99SB force field. J. Chem. Theory Comput. 3, 961–975 (2007). · DOI
  44. Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. & Klein, M. L. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79, 926–935 (1983). · DOI
  45. Abraham, M. J. et al. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1, 19–25 (2015). · DOI · Paper page
  46. Bussi, G., Donadio, D. & Parrinello, M. Canonical sampling through velocity rescaling. J. Chem. Phys. 126, 014101 (2007). · DOI
  47. Parrinello, M. & Rahman, A. Polymorphic transitions in single crystals: a new molecular dynamics method. J. Appl. Phys. 52, 7182–7190 (1981). · DOI
  48. Hess, B., Bekker, H., Berendsen, H. J. C. & Fraaije, J. G. E. M. LINCS: a linear constraint solver for molecular simulations. J. Comput. Chem. 18, 1463–1472 (1997). · DOI
  49. Daura, X. et al. Peptide folding: when simulation meets experiment. Angew. Chem. Int. Ed. 38, 236–240 (1999). · DOI
  50. Eberhardt, J., Santos-Martins, D., Tillack, A. F. & Forli, S. AutoDock Vina 1.2.0: new docking methods, expanded force field, and Python bindings. J. Chem. Inf. Model 61, 3891–3898 (2021). · DOI
  51. Some, D., Amartely, H., Tsadok, A. & Lebendiker, M. Characterization of proteins by size-exclusion chromatography coupled to multi-angle light scattering (SEC-MALS). J. Vis. Exp. https://doi.org/10.3791/59615 (2019). · DOI
  52. Zallot, R., Oberg, N. & Gerlt, J. A. The EFI web resource for genomic enzymology tools: leveraging protein, genome, and metagenome databases to discover novel enzymes and metabolic pathways. Biochemistry 58, 4169–4182 (2019). · DOI
  53. Szklarczyk, D. et al. The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Res. 49, D605–d612 (2021). · DOI · Paper page
  54. Brown, N. P., Leroy, C. & Sander, C. MView: a web-compatible database search or multiple alignment viewer. Bioinformatics 14, 380–381 (1998). · DOI

Metadata

Authors
Zhang, S., Jeffreys, L. N., Poddar, H., Yu, Y., Liu, C., Patel, K., Johannissen, L. O., Zhu, L., Cliff, M. J., Yan, C., Schirò, G., Weik, M., Sakuma, M., Levy, C. W., Leys, D., Heyes, D. J., & Scrutton, N. S.
Affiliations
  • National University of Defense Technology (CN)
  • University of Manchester (GB)
  • Centre National de la Recherche Scientifique (FR)
Corresponding author
  • Zhang, Shaowei
  • Heyes, Derren J.
  • Scrutton, Nigel S.
Venue
Nature Communications
Published
2024-03-28
Volume
15
Issue
1
Pages
2740-2740
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4393280358
Cited by
13
References
1
Citations by year
2026: 5 · 2025: 5 · 2024: 3
FWCI
2.27
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, cc-by)
  • HAL (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • RCUK | Engineering and Physical Sciences Research Council (EP/S030336/1)
  • NUDT | Science and Technology on Advanced Ceramic Fibers and Composites Laboratory (22-ZZCX-039, 22-02-15)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Photoreceptor and optogenetics research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Porphyrin Metabolism and Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Metalloenzymes and iron-sulfur proteins
Keywords
adenosylcobalamin, coenzyme B12, biliverdin, quaternary structure, optogenetics, crystal structure
MeSH terms
Bacterial Proteins, Bile Pigments, Biliverdine, Light, Photochemistry, Photoreceptors, Microbial

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review