The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ancestral reconstruction of duplicated signaling proteins reveals the evolution of signaling specificity
Open accessPublished version of a preprint
Abstract
Gene duplication is crucial to generating novel signaling pathways during evolution. However, it remains unclear how the redundant proteins produced by gene duplication ultimately acquire new interaction specificities to establish insulated paralogous signaling pathways. Here, we used ancestral sequence reconstruction to resurrect and characterize a bacterial two-component signaling system that duplicated in α-proteobacteria. We determined the interaction specificities of the signaling proteins that existed before and immediately after this duplication event and then identified key mutations responsible for establishing specificity in the two systems. Just three mutations, in only two of the four interacting proteins, were sufficient to establish specificity of the extant systems. Some of these mutations weakened interactions between paralogous systems to limit crosstalk. However, others strengthened interactions within a system, indicating that the ancestral interaction, although functional, had the potential to be strengthened. Our work suggests that protein-protein interactions with such latent potential may be highly amenable to duplication and divergence.
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.
Integrity signals
Registry
Cites
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.
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
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
A hydrophobic ratchet entrenches molecular complexes
Hochberg, G. K. A., Liu, Y., Marklund, E. G., Metzger, B. P. H., Laganowsky, A., & Thornton, J. W. (2020) · Nature · doi:10.1038/s41586-020-3021-2 · Cited by 134
Flagged first, then by citations
Research works printed but not linked: 47
- Alm, 2006, The evolution of two-component systems in bacteria reveals different strategies for niche adaptation, PLOS Computational Biology, 2, 10.1371/journal.pcbi.0020143 · DOI
- Anderson, 2015, Intermolecular epistasis shaped the function and evolution of an ancient transcription factor and its DNA binding sites, eLife, 4, 10.7554/eLife.07864 · DOI
- Baker, 2013, Following gene duplication, paralog interference constrains transcriptional circuit evolution, Science (New York, N.Y.), 342, 104, 10.1126/science.1240810 · DOI
- Boucher, 2014, An atomic-resolution view of neofunctionalization in the evolution of apicomplexan lactate dehydrogenases, eLife, 3, 10.7554/eLife.02304 · DOI
- Bradley, 2019, Evolution of protein kinase substrate recognition at the active site, PLOS Biology, 17, 10.1371/journal.pbio.3000341 · DOI
- Bridgham, 2006, Evolution of hormone-receptor complexity by molecular exploitation, Science (New York, N.Y.), 312, 97, 10.1126/science.1123348 · DOI
- Bridgham, 2009, An epistatic ratchet constrains the direction of glucocorticoid receptor evolution, Nature, 461, 515, 10.1038/nature08249 · DOI
- Buschiazzo, 2019, Two-Component Sensing and Regulation: How Do Histidine Kinases Talk with Response Regulators at the Molecular Level?, Annual Review of Microbiology, 73, 507, 10.1146/annurev-micro-091018-054627 · DOI
- Cai, 2002, EnvZ-OmpR interaction and osmoregulation in Escherichia coli, The Journal of Biological Chemistry, 277, 24155, 10.1074/jbc.M110715200 · DOI
- Capra, 2010, Systematic dissection and trajectory-scanning mutagenesis of the molecular interface that ensures specificity of two-component signaling pathways, PLOS Genetics, 6, 10.1371/journal.pgen.1001220 · DOI
- Capra, 2012, Evolution of two-component signal transduction systems, Annual Review of Microbiology, 66, 325, 10.1146/annurev-micro-092611-150039 · DOI · Paper page
- Capra, 2012, Adaptive mutations that prevent crosstalk enable the expansion of paralogous signaling protein families, Cell, 150, 222, 10.1016/j.cell.2012.05.033 · DOI
- Corrochano, 2016, Expansion of Signal Transduction Pathways in Fungi by Extensive Genome Duplication, Current Biology, 26, 1577, 10.1016/j.cub.2016.04.038 · DOI
- Darriba, 2020, ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models, Molecular Biology and Evolution, 37, 291, 10.1093/molbev/msz189 · DOI
- Eddy, 2011, Accelerated Profile HMM Searches, PLOS Computational Biology, 7, 10.1371/journal.pcbi.1002195 · DOI · Paper page
- Edgar, 2004, MUSCLE: multiple sequence alignment with high accuracy and high throughput, Nucleic Acids Research, 32, 1792, 10.1093/nar/gkh340 · DOI · Paper page
- Eick, 2012, Evolution of minimal specificity and promiscuity in steroid hormone receptors, PLOS Genetics, 8, 10.1371/journal.pgen.1003072 · DOI
- Eick, 2017, Robustness of Reconstructed Ancestral Protein Functions to Statistical Uncertainty, Molecular Biology and Evolution, 34, 247, 10.1093/molbev/msw223 · DOI
- Finnigan, 2012, Evolution of increased complexity in a molecular machine, Nature, 481, 360, 10.1038/nature10724 · DOI
- Galperin, 2005, A census of membrane-bound and intracellular signal transduction proteins in bacteria: bacterial IQ, extroverts and introverts, BMC Microbiology, 5, 10.1186/1471-2180-5-35 · DOI
- Guindon, 2010, New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0, Systematic Biology, 59, 307, 10.1093/sysbio/syq010 · DOI · Paper page
- Hochberg, 2017, Reconstructing Ancient Proteins to Understand the Causes of Structure and Function, Annual Review of Biophysics, 46, 247, 10.1146/annurev-biophys-070816-033631 · DOI
- Holinski, 2017, Combining ancestral sequence reconstruction with protein design to identify an interface hotspot in a key metabolic enzyme complex, Proteins, 85, 312, 10.1002/prot.25225 · DOI
- Howard, 2014, Ancestral resurrection reveals evolutionary mechanisms of kinase plasticity, eLife, 3, 10.7554/eLife.04126 · DOI
- Hug, 2016, A new view of the tree of life, Nature Microbiology, 1, 10.1038/nmicrobiol.2016.48 · DOI · Paper page
- Koretke, 2000, Evolution of Two-Component Signal Transduction, Molecular Biology and Evolution, 17, 1956, 10.1093/oxfordjournals.molbev.a026297 · DOI
- Laursen, 2021, Divergent Evolution of a Protein-Protein Interaction Revealed through Ancestral Sequence Reconstruction and Resurrection, Molecular Biology and Evolution, 38, 152, 10.1093/molbev/msaa198 · DOI
- McClune, 2019, Engineering orthogonal signalling pathways reveals the sparse occupancy of sequence space, Nature, 574, 702, 10.1038/s41586-019-1639-8 · DOI
- McKeown, 2014, Evolution of DNA specificity in a transcription factor family produced a new gene regulatory module, Cell, 159, 58, 10.1016/j.cell.2014.09.003 · DOI · Paper page
- Mende, 2017, proGenomes: a resource for consistent functional and taxonomic annotations of prokaryotic genomes, Nucleic Acids Research, 45, D529, 10.1093/nar/gkw989 · DOI
- Mende, 2020, proGenomes2: an improved database for accurate and consistent habitat, taxonomic and functional annotations of prokaryotic genomes, Nucleic Acids Research, 48, D621, 10.1093/nar/gkz1002 · DOI
- Parks, 2018, A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life, Nature Biotechnology, 36, 996, 10.1038/nbt.4229 · DOI · Paper page
- Pawson, 2004, Specificity in signal transduction: from phosphotyrosine-SH2 domain interactions to complex cellular systems, Cell, 116, 191, 10.1016/s0092-8674(03)01077-8 · DOI
- Pillai, 2020, Origin of complexity in haemoglobin evolution, Nature, 581, 480, 10.1038/s41586-020-2292-y · DOI
- Price, 2009, FastTree: computing large minimum evolution trees with profiles instead of a distance matrix, Molecular Biology and Evolution, 26, 1641, 10.1093/molbev/msp077 · DOI · Paper page
- Rowland, 2014, Crosstalk and the evolution of specificity in two-component signaling, PNAS, 111, 10.1073/pnas.1408294111 · DOI
- Siryaporn, 2008, Cross-talk suppression between the CpxA-CpxR and EnvZ-OmpR two-component systems in E. coli, Molecular Microbiology, 70, 494, 10.1111/j.1365-2958.2008.06426.x · DOI
- Skerker, 2005, Two-component signal transduction pathways regulating growth and cell cycle progression in A bacterium: A system-level analysis, PLOS Biology, 3, 10.1371/journal.pbio.0030334 · DOI
- Skerker, 2008, Rewiring the specificity of two-component signal transduction systems, Cell, 133, 1043, 10.1016/j.cell.2008.04.040 · DOI
- Starr, 2017, Alternative evolutionary histories in the sequence space of an ancient protein, Nature, 549, 409, 10.1038/nature23902 · DOI
- Voordeckers, 2012, Reconstruction of ancestral metabolic enzymes reveals molecular mechanisms underlying evolutionary innovation through gene duplication, PLOS Biology, 10, 10.1371/journal.pbio.1001446 · DOI
- Wang, 2021, Dating Alphaproteobacteria evolution with eukaryotic fossils, Nature Communications, 12, 10.1038/s41467-021-23645-4 · DOI
- Wheeler, 2018, Conservation of Specificity in Two Low-Specificity Proteins, Biochemistry, 57, 684, 10.1021/acs.biochem.7b01086 · DOI
- Wheeler, 2021, Were Ancestral Proteins Less Specific?, Molecular Biology and Evolution, 38, 2227, 10.1093/molbev/msab019 · DOI
- Wilson, 2015, Kinase dynamics. Using ancient protein kinases to unravel a modern cancer drug’s mechanism, Science (New York, N.Y.), 347, 882, 10.1126/science.aaa1823 · DOI
- Yang, 2007, PAML 4: phylogenetic analysis by maximum likelihood, Molecular Biology and Evolution, 24, 1586, 10.1093/molbev/msm088 · DOI · Paper page
- Zarrinpar, 2003, Optimization of specificity in a cellular protein interaction network by negative selection, Nature, 426, 676, 10.1038/nature02178 · DOI
Metadata
- Authors
- Nocedal, I., & Laub, M. T.
- Affiliations
- Massachusetts Institute of Technology (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Laub, Michael T
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2022-06-10
- Volume
- 11
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC9208753
- OpenAlex
- W4282940566
- Cited by
- 27
- References
- 2
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 5 · 2023: 8 · 2022: 3
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- National Institute of General Medical Sciences (1F32GM126765)
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- gene duplication, ancestral sequence reconstruction, two-component systems, protein-protein interaction specificity, crosstalk, Alphaproteobacteria, bacterial signal transduction
- MeSH terms
- Mutation, Phylogeny, Signal Transduction, Evolution, Molecular, Gene Duplication, Alphaproteobacteria
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