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Identification of a covert evolutionary pathway between two protein folds
Open accessPreprint — published as 10.1038/s41467-023-38519-0 · Paper page
Abstract
Although homologous protein sequences are expected to adopt similar structures, some amino acid substitutions can interconvert α-helices and β-sheets. Such fold switching may have occurred over evolutionary history, but supporting evidence has been limited by the: (1) abundance and diversity of sequenced genes, (2) quantity of experimentally determined protein structures, and (3) assumptions underlying the statistical methods used to infer homology. Here, we overcame these barriers by applying multiple statistical methods to a family of ~600,000 bacterial response regulator proteins. We found that their homologous DNA-binding subunits assume divergent structures: helix-turn-helix versus α-helix+β-sheet (winged helix). Phylogenetic analyses, ancestral sequence reconstruction, and AlphaFold2 models indicated that amino acid substitutions facilitated a switch from helix-turn-helix into winged helix. This structural transformation likely expanded DNA-binding specificity. Our approach uncovers an evolutionary pathway between two protein folds and provides methodology to identify secondary structure switching in other protein families.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Single-sequence protein structure prediction using language models from deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Rochereau, C., Church, G. M., Sorger, P. K., & AlQuraishi, M. (2021) · doi:10.1101/2021.08.02.454840 · Cited by 455
Single-sequence protein structure prediction using a language model and deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Floristean, C., Kharkar, A., Roy, K., Rochereau, C., Ahdritz, G., Zhang, J., Church, G. M., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01432-w · Cited by 455
ECOD: an evolutionary classification of protein domains
Cheng, H., Schaeffer, R. D., Liao, Y., Kinch, L. N., Pei, J., Shi, S., Kim, B.-H., & Grishin, N. V. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003926 · Cited by 426
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Research works printed but not linked: 86
- 10.1126/science.181.4096.223 · DOI · Paper page
- 10.1371/journal.pone.0083502PONE-D-13-35198 · DOI
- 10.1126/science.abf8761 · DOI
- 10.1126/science.273.5280.1386 · DOI
- 10.1038/ng0694-169 · DOI
- 10.1038/ncb2641 · DOI · Paper page
- 10.1002/(SICI)1097-0134(199602)24:2<145::AID-PROT1>3.0.CO;2-I · DOI
- 10.1021/bi00107a010 · DOI
- 10.1002/0471721204.ch13 · DOI
- 10.1093/nar/gkm993 · DOI
- 10.1093/nar/gkl959 · DOI
- 10.1126/science.abj8754 · DOI · Paper page
- 10.1021/acschembio.8b00276 · DOI
- 10.1073/pnas.1800168115 · DOI
- 10.1016/j.jmb.2018.02.012 · DOI
- 10.1126/science.1260031 · DOI · Paper page
- 10.1073/pnas.0906408106 · DOI
- 10.1016/j.str.2011.11.018 · DOI
- 10.1093/molbev/msab240 · DOI
- 10.1038/nchembio.1579 · DOI
- 10.1002/pro.3488 · DOI
- 10.1016/j.str.2004.02.024 · DOI
- 10.1073/pnas.0711589105 · DOI
- 10.1093/nar/gkv1189 · DOI · Paper page
- 10.1107/S0907444902003451 · DOI
- 10.1007/978-1-4939-7000-1_26 · DOI · Paper page
- 10.1093/nar/gky448 · DOI · Paper page
- 10.1038/nmeth.1818 · DOI · Paper page
- 10.1093/oxfordjournals.molbev.a026297 · DOI
- 10.1016/j.mib.2010.01.005 · DOI
- 10.1038/337745a0 · DOI
- 10.1073/pnas.1302819110 · DOI
- 10.1126/scisignal.aaq0825 · DOI
- 10.1016/j.tibs.2007.03.002 · DOI
- 10.1128/JB.01887-05 · DOI
- 10.1016/j.femsre.2004.12.008 · DOI
- 10.1093/nar/25.17.3389 · DOI · Paper page
- 10.1002/bip.23416 · DOI
- 10.1093/nar/gkp1219 · DOI
- 10.1016/j.molcel.2007.02.021 · DOI
- 2009, A new generation of homology search tools based on probabilistic inference, Genome Inform, 23, 205
- 10.1038/msb.2011.75 · DOI
- 10.1093/nar/gkh340 · DOI · Paper page
- 10.1080/10635150290069913 · DOI · Paper page
- 10.1002/pro.4353 · DOI · Paper page
- 10.1038/s41467-022-31532-9 · DOI
- 10.1093/protein/12.2.85 · DOI · Paper page
- 10.1093/nar/gkh121 · DOI · Paper page
- 10.1002/pro.2071 · DOI
- 10.1073/pnas.0912616107 · DOI
- 10.7554/eLife.09410 · DOI
- 10.1093/molbev/msab017 · DOI
- 10.1073/pnas.1707642114 · DOI
- 10.1002/pro.4407 · DOI
- 10.1073/pnas.0700922104 · DOI
- 10.1126/science.abd8700 · DOI
- 10.1006/jsbi.2001.4335 · DOI
- 10.1126/science.aah4043 · DOI · Paper page
- 10.1002/bip.360221211 · DOI · Paper page
- 10.1186/s12859-018-2524-4 · DOI
- 10.1093/bioinformatics/btp163 · DOI · Paper page
- 10.1093/bioinformatics/btm017 · DOI
- 10.1093/nar/gkw408 · DOI · Paper page
- 10.1002/prot.24948 · DOI
- 10.1093/bioinformatics/17.10.935 · DOI
- 10.1093/bioinformatics/14.8.707 · DOI
- 10.1093/bioinformatics/bts565 · DOI · Paper page
- 10.1093/molbev/msh194 · DOI
- 10.1093/molbev/msp077 · DOI · Paper page
- 10.1371/journal.pone.0009490 · DOI · Paper page
- 10.1093/bioinformatics/8.3.275 · DOI
- Stamatakis, A. in Proceedings 20th IEEE international parallel & distributed processing symposium. 8 pp. (IEEE).
- 10.1093/molbev/msx281 · DOI · Paper page
- 10.1093/molbev/msu300 · DOI · Paper page
- 10.1038/nmeth.4285 · DOI · Paper page
- 10.1093/sysbio/syab067 · DOI
- 10.1007/BF02109483 · DOI
- 10.1007/BF02100115 · DOI
- 10.1093/oxfordjournals.molbev.a026201 · DOI · Paper page
- 10.1098/rspb.2001.1862 · DOI
- 10.1093/genetics/141.4.1641 · DOI
- 10.1093/nar/gkab1061 · DOI · Paper page
- 10.1093/bioinformatics/bti511 · DOI
- 10.1109/MCSE.2007.55 · DOI · Paper page
- 10.21105/joss.03021 · DOI · Paper page
- 2017, ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data, Methods in Ecology and Evolution, 8, 28, 10.1111/2041-210X.12628 · DOI
Metadata
- Authors
- Chakravarty, D., Sreenivasan, S., Swint-Kruse, L., & Porter, L. L.
- Affiliations
- National Institutes of Health (US)
- University of Kansas Medical Center (US)
- Corresponding author
- Porter, Lauren L.
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2022-12-12
- OpenAlex
- W4311213469
- Cited by
- 2
- References
- 4
- Citations by year
- 2023: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- W. M. Keck Foundation (GM118589)
- National Institutes of Health (LM202011)
- National Institute of General Medical Sciences (R01GM118589, GM118589)
- U.S. National Library of Medicine (LM202011)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- protein fold evolution, fold switching, helix-turn-helix, DNA-binding proteins, ancestral sequence reconstruction, phylogenetic analysis, AlphaFold2, DNA binding specificity, homology inference
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