Repurposing a chemosensory macromolecular machine.
Biological Evolution
Chemotaxis
Computational Biology
Electron Microscope Tomography
Escherichia coli
/ physiology
Escherichia coli Proteins
Flagella
/ physiology
Gammaproteobacteria
/ physiology
Genome, Bacterial
Macromolecular Substances
/ chemistry
Methyl-Accepting Chemotaxis Proteins
/ chemistry
Methylococcaceae
/ physiology
Phylogeny
Pseudomonas aeruginosa
/ physiology
Shewanella
/ physiology
Vibrio cholerae
/ physiology
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
27 04 2020
27 04 2020
Historique:
received:
13
07
2019
accepted:
23
03
2020
entrez:
29
4
2020
pubmed:
29
4
2020
medline:
11
8
2020
Statut:
epublish
Résumé
How complex, multi-component macromolecular machines evolved remains poorly understood. Here we reveal the evolutionary origins of the chemosensory machinery that controls flagellar motility in Escherichia coli. We first identify ancestral forms still present in Vibrio cholerae, Pseudomonas aeruginosa, Shewanella oneidensis and Methylomicrobium alcaliphilum, characterizing their structures by electron cryotomography and finding evidence that they function in a stress response pathway. Using bioinformatics, we trace the evolution of the system through γ-Proteobacteria, pinpointing key evolutionary events that led to the machine now seen in E. coli. Our results suggest that two ancient chemosensory systems with different inputs and outputs (F6 and F7) existed contemporaneously, with one (F7) ultimately taking over the inputs and outputs of the other (F6), which was subsequently lost.
Identifiants
pubmed: 32341341
doi: 10.1038/s41467-020-15736-5
pii: 10.1038/s41467-020-15736-5
pmc: PMC7184735
doi:
Substances chimiques
Escherichia coli Proteins
0
Macromolecular Substances
0
Methyl-Accepting Chemotaxis Proteins
0
cheY protein, E coli
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
2041Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM108655
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM122588
Pays : United States
Organisme : Howard Hughes Medical Institute
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK089507
Pays : United States
Références
Hazelbauer, G. L., Falke, J. J. & Parkinson, J. S. Bacterial chemoreceptors: high-performance signaling in networked arrays. Trends Biochem. Sci. 33, 9–19 (2008).
pubmed: 18165013
doi: 10.1016/j.tibs.2007.09.014
Parkinson, J. S., Hazelbauer, G. L. & Falke, J. J. Signaling and sensory adaptation in Escherichia coli chemoreceptors: 2015 update. Trends Microbiol. 23, 257–266 (2015).
pubmed: 25834953
pmcid: 4417406
doi: 10.1016/j.tim.2015.03.003
Maddock, J. R. & Shapiro, L. Polar location of the chemoreceptor complex in the Escherichia coli cell. Science 259, 1717–1723 (1993).
pubmed: 8456299
doi: 10.1126/science.8456299
Wadhams, G. H. & Armitage, J. P. Making sense of it all: bacterial chemotaxis. Nat. Rev. Mol. Cell Biol. 5, 1024–1037 (2004).
pubmed: 15573139
doi: 10.1038/nrm1524
Berg, H. C. & Brown, D. A. Chemotaxis in Escherichia coli analysed by three-dimensional tracking. Nature 239, 500–504 (1972).
pubmed: 4563019
doi: 10.1038/239500a0
Bren, A., Welch, M., Blat, Y. & Eisenbach, M. Signal termination in bacterial chemotaxis: CheZ mediates dephosphorylation of free rather than switch-bound CheY. Proc. Natl Acad. Sci. USA 93, 10090–10093 (1996).
pubmed: 8816756
doi: 10.1073/pnas.93.19.10090
Lupas, A. & Stock, J. Phosphorylation of an N-terminal regulatory domain activates the CheB methylesterase in bacterial chemotaxis. J. Biol. Chem. 264, 17337–17342 (1989).
pubmed: 2677005
Kleene, S. J., Hobson, A. C. & Adler, J. Attractants and repellents influence methylation and demethylation of methyl-accepting chemotaxis proteins in an extract of Escherichia coli. Proc. Natl Acad. Sci. USA 76, 6309–6313 (1979).
pubmed: 392517
doi: 10.1073/pnas.76.12.6309
Wuichet, K. & Zhulin, I. B. Origins and diversification of a complex signal transduction system in prokaryotes. Sci. Signal. 3, ra50 (2010).
pubmed: 20587806
pmcid: 3401578
doi: 10.1126/scisignal.2000724
Briegel, A. et al. Structural conservation of chemotaxis machinery across Archaea and Bacteria. Environ. Microbiol. Rep. 7, 414–419 (2015).
pubmed: 25581459
pmcid: 4782749
doi: 10.1111/1758-2229.12265
Berleman James, E. & Bauer Carl, E. A che-like signal transduction cascade involved in controlling flagella biosynthesis in Rhodospirillum centenum. Mol. Microbiol. 55, 1390–1402 (2005).
pubmed: 15720548
doi: 10.1111/j.1365-2958.2005.04489.x
Briegel, A. et al. Universal architecture of bacterial chemoreceptor arrays. Proc. Natl Acad. Sci. USA 106, 17181–17186 (2009).
pubmed: 19805102
doi: 10.1073/pnas.0905181106
Liu, J. et al. Molecular architecture of chemoreceptor arrays revealed by cryoelectron tomography of Escherichia coli minicells. Proc. Natl Acad. Sci. USA 109, E1481–E1488 (2012).
pubmed: 22556268
doi: 10.1073/pnas.1200781109
Briegel, A. et al. Bacterial chemoreceptor arrays are hexagonally packed trimers of receptor dimers networked by rings of kinase and coupling proteins. Proc. Natl Acad. Sci. USA 109, 3766–3771 (2012).
pubmed: 22355139
doi: 10.1073/pnas.1115719109
Yang, W., Alvarado, A., Glatter, T., Ringgaard, S. & Briegel, A. Baseplate variability of Vibrio cholerae chemoreceptor arrays. Proc. Natl Acad. Sci. USA 115, 13365–13370 (2018).
pubmed: 30541885
doi: 10.1073/pnas.1811931115
Briegel, A. et al. Chemotaxis cluster 1 proteins form cytoplasmic arrays in Vibrio cholerae and are stabilized by a double signaling domain receptor DosM. Proc. Natl Acad. Sci. USA 113, 10412–10417 (2016).
pubmed: 27573843
doi: 10.1073/pnas.1604693113
Alexander, R. P. & Zhulin, I. B. Evolutionary genomics reveals conserved structural determinants of signaling and adaptation in microbial chemoreceptors. Proc. Natl Acad. Sci. USA 104, 2885–2890 (2007).
pubmed: 17299051
doi: 10.1073/pnas.0609359104
Ortega, D. R. et al. Assigning chemoreceptors to chemosensory pathways in Pseudomonas aeruginosa. Proc. Natl. Acad. Sci. USA https://doi.org/10.1073/pnas.1708842114 (2017).
Ding, H. J., Oikonomou, C. M. & Jensen, G. J. The caltech tomography database and automatic processing pipeline. J. Struct. Biol. 192, 279–286 (2015).
pubmed: 26087141
pmcid: 4633326
doi: 10.1016/j.jsb.2015.06.016
Subramanian, P., Pirbadian, S., El-Naggar, M. Y. & Jensen, G. J. Ultrastructure of Shewanella oneidensis MR-1 nanowires revealed by electron cryotomography. Proc. Natl Acad. Sci. USA 115, E3246–E3255 (2018).
pubmed: 29555764
doi: 10.1073/pnas.1718810115
Khmelenina, V. N., Kalyuzhnaya, M. G., Starostina, N. G., Suzina, N. E. & Trotsenko, Y. A. Isolation and characterization of halotolerant alkaliphilic methanotrophic bacteria from tuva soda lakes. Curr. Microbiol. 35, 257–261 (1997).
doi: 10.1007/s002849900249
Airola, M. V. et al. Architecture of the soluble receptor Aer2 indicates an in-line mechanism for PAS and HAMP domain signaling. J. Mol. Biol. 425, 886–901 (2013).
pubmed: 23274111
doi: 10.1016/j.jmb.2012.12.011
Watts, K. J., Taylor, B. L. & Johnson, M. S. PAS/poly-HAMP signalling in Aer-2, a soluble haem-based sensor. Mol. Microbiol 79, 686–699 (2011).
pubmed: 21255112
doi: 10.1111/j.1365-2958.2010.07477.x
Greer‐Phillips, S. E. et al. The Aer2 receptor from Vibrio cholerae is a dual PAS-heme oxygen sensor. Mol. Microbiol. 109, 209–224 (2018).
doi: 10.1111/mmi.13978
Adebali, O., Ortega, D. R. & Zhulin, I. B. CDvist: a webserver for identification and visualization of conserved domains in protein sequences. Bioinformatics 31, 1475–1477 (2015).
pubmed: 25527097
doi: 10.1093/bioinformatics/btu836
Upadhyay, A. A., Fleetwood, A. D., Adebali, O., Finn, R. D. & Zhulin, I. B. Cache domains that are homologous to, but different from PAS domains comprise the largest superfamily of extracellular sensors in prokaryotes. PLoS Comput. Biol. 12, e1004862 (2016).
pubmed: 27049771
pmcid: 4822843
doi: 10.1371/journal.pcbi.1004862
Ciccarelli, F. D. et al. Toward automatic reconstruction of a highly resolved tree of life. Science 311, 1283–1287 (2006).
pubmed: 16513982
doi: 10.1126/science.1123061
Raina, J.-B., Fernandez, V., Lambert, B., Stocker, R. & Seymour, J. R. The role of microbial motility and chemotaxis in symbiosis. Nat. Rev. Microbiol. https://doi.org/10.1038/s41579-019-0182-9 (2019).
Güvener, Z. T., Tifrea, D. F. & Harwood, C. S. Two different Pseudomonas aeruginosa chemosensory signal transduction complexes localize to cell poles and form and remould in stationary phase. Mol. Microbiol 61, 106–118 (2006).
pubmed: 16824098
doi: 10.1111/j.1365-2958.2006.05218.x
Ortega, Á., Zhulin, I. B. & Krell, T. Sensory repertoire of bacterial chemoreceptors. Microbiol. Mol. Biol. Rev. 81, e00033–17 (2017).
pubmed: 29070658
pmcid: 5706747
doi: 10.1128/MMBR.00033-17
Garcia-Fontana, C., Corral Lugo, A. & Krell, T. Specificity of the CheR2 methyltransferase in Pseudomonas aeruginosa is directed by a C-terminal pentapeptide in the McpB chemoreceptor. Sci. Signal. 7, ra34 (2014).
pubmed: 24714571
doi: 10.1126/scisignal.2004849
Mo, G., Zhou, H., Kawamura, T. & Dahlquist, F. W. Solution structure of a complex of the histidine autokinase CheA with its substrate CheY. Biochemistry 51, 3786–3798 (2012).
pubmed: 22494339
pmcid: 3365488
doi: 10.1021/bi300147m
Dyer, C. M. et al. Structure of the constitutively active double mutant CheYD13K Y106W alone and in complex with a FliM peptide. J. Mol. Biol. 342, 1325–1335 (2004).
pubmed: 15351654
doi: 10.1016/j.jmb.2004.07.084
Donnenberg, M. S. & Kaper, J. B. Construction of an eae deletion mutant of enteropathogenic Escherichia coli by using a positive-selection suicide vector. Infect. Immun. 59, 4310–4317 (1991).
pubmed: 1937792
pmcid: 259042
doi: 10.1128/IAI.59.12.4310-4317.1991
Racki, L. R. et al. Polyphosphate granule biogenesis is temporally and functionally tied to cell cycle exit during starvation in Pseudomonas aeruginosa. Proc. Natl Acad. Sci. USA 114, E2440–E2449 (2017).
pubmed: 28265086
doi: 10.1073/pnas.1615575114
Collins, D. A. & Kalyuzhnaya, M. G. Chapter Fourteen—Navigating methane metabolism: enzymes, compartments, and networks. in Methods in Enzymology (ed Armstrong, F.) 349–383 (Academic Press, 2018).
Briegel, A. et al. Structure of bacterial cytoplasmic chemoreceptor arrays and implications for chemotactic signaling. Elife 3, e02151 (2014).
pubmed: 24668172
pmcid: 3964821
doi: 10.7554/eLife.02151
Zheng, Q. S. et al. UCSF tomography: an integrated software suite for real-time electron microscopic tomographic data collection, alignment and reconstruction. J. Struct. Biol. 157, 138–147 (2007).
pubmed: 16904341
doi: 10.1016/j.jsb.2006.06.005
Ortega, D. R. et al. ETDB-Caltech: a blockchain-based distributed public database for electron tomography. PLoS ONE 14, e0215531 (2019).
pubmed: 30986271
pmcid: 6464211
doi: 10.1371/journal.pone.0215531
Kremer, J. R., Mastronarde, D. N. & McIntosh, J. R. Computer visualization of three-dimensional data using Imod. J. Struct. Biol. 116, 71–76 (1996).
pubmed: 8742726
doi: 10.1006/jsbi.1996.0013
Xiong, Q., Morphew, M. K., Schwartz, C. L., Hoenger, A. H. & Mastronarde, D. CTF determination and correction for low dose tomographic tilt series. J. Struct. Biol. 168, 378–387 (2009).
pubmed: 19732834
pmcid: 2784817
doi: 10.1016/j.jsb.2009.08.016
Castaño-Díez, D., Kudryashev, M., Arheit, M. & Stahlberg, H. Dynamo: a flexible, user-friendly development tool for subtomogram averaging of cryo-EM data in high-performance computing environments. J. Struct. Biol. 178, 139–151 (2012).
pubmed: 22245546
doi: 10.1016/j.jsb.2011.12.017
Castaño-Díez, D., Kudryashev, M. & Stahlberg, H. Dynamo Catalogue: geometrical tools and data management for particle picking in subtomogram averaging of cryo-electron tomograms. J. Struct. Biol. 197, 135–144 (2017).
pubmed: 27288866
doi: 10.1016/j.jsb.2016.06.005
Taylor, B. N. & Kuyatt, C. E. Guidelines for evaluating and expressing the uncertainty of NIST measurement results. US Department of Commerce Technology, National Institute of Standards and Technology (1994).
Ulrich, L. E. & Zhulin, I. B. The MiST2 database: a comprehensive genomics resource on microbial signal transduction. Nucleic Acids Res. 38, D401–D407 (2010).
pubmed: 19900966
doi: 10.1093/nar/gkp940
Finn, R. D. et al. Pfam: the protein families database. Nucleic Acids Res. 42, D222–D230 (2014).
pubmed: 24288371
doi: 10.1093/nar/gkt1223
Ulrich, L. E. & Zhulin, I. B. SeqDepot: streamlined database of biological sequences and precomputed features. Bioinformatics 30, 295–297 (2014).
pubmed: 24234005
doi: 10.1093/bioinformatics/btt658
Bernstein, F. C. et al. The protein data bank: a computer-based archival file for macromolecular structures. Arch. Biochem. Biophys. 185, 584–591 (1978).
pubmed: 626512
doi: 10.1016/0003-9861(78)90204-7
Li, W., Jaroszewski, L. & Godzik, A. Clustering of highly homologous sequences to reduce the size of large protein databases. Bioinformatics 17, 282–283 (2001).
pubmed: 11294794
doi: 10.1093/bioinformatics/17.3.282
Katoh, K. & Toh, H. Recent developments in the MAFFT multiple sequence alignment program. Brief. Bioinform. 9, 286–298 (2008).
pubmed: 18372315
doi: 10.1093/bib/bbn013
Castresana, J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol. Biol. Evol. 17, 540–552 (2000).
pubmed: 10742046
doi: 10.1093/oxfordjournals.molbev.a026334
Roberts, E., Eargle, J., Wright, D. & Luthey-Schulten, Z. MultiSeq: unifying sequence and structure data for evolutionary analysis. BMC Bioinform. 7, 382 (2006).
doi: 10.1186/1471-2105-7-382
Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996). 27–8.
pubmed: 8744570
doi: 10.1016/0263-7855(96)00018-5
Webb, B. & Sali, A. Comparative protein structure modeling using MODELLER. Curr. Protoc. Bioinform. 54, 5.6.1–5.6.37 (2016).
doi: 10.1002/cpbi.3
Cuff, J. A. & Barton, G. J. Application of multiple sequence alignment profiles to improve protein secondary structure prediction. Proteins Struct. Funct. Bioinform. 40, 502–511 (2000).
doi: 10.1002/1097-0134(20000815)40:3<502::AID-PROT170>3.0.CO;2-Q
Waterhouse, A. M., Procter, J. B., Martin, D. M. A., Clamp, M. & Barton, G. J. Jalview Version 2—a multiple sequence alignment editor and analysis workbench. Bioinformatics 25, 1189–1191 (2009).
pubmed: 19151095
pmcid: 2672624
doi: 10.1093/bioinformatics/btp033
Camacho, C. et al. BLAST+: architecture and applications. BMC Bioinform. 10, 1–9 (2009).
doi: 10.1186/1471-2105-10-421
Eddy, S. R. Accelerated profile HMM searches. PLoS Comput. Biol. 7, e1002195 (2011).
pubmed: 22039361
pmcid: 3197634
doi: 10.1371/journal.pcbi.1002195
Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).
pubmed: 24451623
pmcid: 3998144
doi: 10.1093/bioinformatics/btu033
TreeCollapserCL4: Removing Doubt from Your Trees! Collapse Trees by Bootstrap. http://emmahodcroft.com/TreeCollapseCL.html .
Crooks, G. E., Hon, G., Chandonia, J. M. & Brenner, S. E. WebLogo: a sequence logo generator. Genome Res. 14, 1188–1190 (2004).
pubmed: 15173120
pmcid: 419797
doi: 10.1101/gr.849004
Ortega, D. R. & Zhulin, I. B. Phylogenetic and protein sequence analysis of bacterial chemoreceptors. in Bacterial Chemosensing: Methods and Protocols (ed Manson, M. D.) 373–385 (Springer New York, 2018). https://doi.org/10.1007/978-1-4939-7577-8_29 .
Dunin-Horkawicz, S. & Lupas, A. N. Comprehensive analysis of HAMP domains: implications for transmembrane signal transduction. J. Mol. Biol. 397, 1156–1174 (2010).
pubmed: 20184894
doi: 10.1016/j.jmb.2010.02.031
Cassidy, C. K. et al. CryoEM and computer simulations reveal a novel kinase conformational switch in bacterial chemotaxis signaling. eLife 4, e08419 (2015).
pubmed: 26583751
pmcid: 6746300
doi: 10.7554/eLife.08419
Burt, A. et al. Complete structure of the chemosensory array core signalling unit in an E. coli minicell strain. Nat. Commun. 11, 1–9 (2020).
doi: 10.1038/s41467-020-14350-9