Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.
Independently Evolved Virulence Effectors Converge onto Hubs in a Plant Immune System Network
M. Shahid Mukhtar,1,*,
Anne-Ruxandra Carvunis,2,3,4,*
Matija Dreze,2,3,5,*
Petra Epple,1,*
Jens Steinbrenner,6
Jonathan Moore,7
Murat Tasan,8
Mary Galli,9
Tong Hao,2,3
Marc T. Nishimura,1
Samuel J. Pevzner,2,3,10,11
Susan E. Donovan,6,
Lila Ghamsari,2,3
Balaji Santhanam,2,3
Viviana Romero,2,3
Matthew M. Poulin,2,3
Fana Gebreab,2,3
Bryan J. Gutierrez,2,3
Stanley Tam,2,3
Dario Monachello,12
Mike Boxem,13
Christopher J. Harbort,1,
Nathan McDonald,1
Lantian Gai,9
Huaming Chen,9
Yijian He,1European Union Effectoromics Consortium,
Jean Vandenhaute,5
Frederick P. Roth,2,14,||
David E. Hill,2,3
Joseph R. Ecker,9,15
Marc Vidal,2,3,¶
Jim Beynon,6,7,¶
Pascal Braun,2,3,¶
Jeffery L. Dangl1,16,17,18,¶
Abstract:
Plants generate effective responses to infection by recognizing both conserved and variable pathogen-encoded molecules. Pathogens deploy virulence effector proteins into host cells, where they interact physically with host proteins to modulate defense. We generated an interaction network of plant-pathogen effectors from two pathogens spanning the eukaryote-eubacteria divergence, three classes of Arabidopsis immune system proteins, and ~8000 other Arabidopsis proteins. We noted convergence of effectors onto highly interconnected host proteins and indirect, rather than direct, connections between effectors and plant immune receptors. We demonstrated plant immune system functions for 15 of 17 tested host proteins that interact with effectors from both pathogens. Thus, pathogens from different kingdoms deploy independently evolved virulence proteins that interact with a limited set of highly connected cellular hubs to facilitate their diverse life-cycle strategies.
1 Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. 2 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. 3 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. 4 Computational and Mathematical Biology Group, TIMC-IMAG, CNRS UMR5525 and Université de Grenoble, Faculté de Médecine, 38706 La Tronche cedex, France. 5 Unité de Recherche en Biologie Moléculaire, Facultés Universitaires Notre-Dame de la Paix, 5000 Namur, Wallonia-Brussels Federation, Belgium. 6 School of Life Sciences, University of Warwick, Wellesbourne, Warwick, CV35 9EF, UK. 7 Warwick Systems Biology Centre, Coventry House, University of Warwick, Coventry, CV4 7AL, UK. 8 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. 9 Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA. 10 Biomedical Engineering Department, Boston University, Boston, MA 02215, USA. 11 Boston University School of Medicine, Boston, MA 02118, USA. 12 Unité Mixte de Recherche en Génomique Végétale (URGV), UMR, Institut National de la Recherche Agronomique (INRA), Université dEvry–Val d'Essonne—European Research Laboratory (UEVE–ERL), CNRS, 91057 Evry Cedex, France. 13 Utrecht University, 3584 CH Utrecht, Netherlands. 14 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. 15 Plant Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA. 16 Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. 17 Carolina Center for Genome Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. 18 Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
* These authors contributed equally to this project.
Present address: Department of Biology, CH106, University of Alabama at Birmingham, 1300 University Boulevard, Birmingham, AL 35294, USA.
Present address: ADAS Boxworth Research Centre, Boxworth, Cambridgeshire CB23 4NN, UK.
Present address: Max Planck Institute for Infection Biology, Chariteplatz 1, 10117 Berlin, Germany.
||Present address: Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S3E1, Canada, and Samuel Lunenfeld Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G1X5, Canada.
¶ To whom correspondence should be addressed. E-mails: dangl{at}email.unc.edu (J.L.D.); pascal_braun{at}dfci.harvard.edu (P.B.); jim.beynon{at}warwick.ac.uk (J.B.); marc_vidal{at}dfci.harvard.edu (M.V.)
The editors suggest the following Related Resources on Science sites:
In Science Magazine
PERSPECTIVES
Christian R. Landry (29 July 2011) Science333 (6042), 532.
[DOI: 10.1126/science.1209753] |Summary »|Full Text »|PDF »
In Science Signaling
EDITORS' CHOICE
Laura Zahn (2 August 2011) Sci. Signal.4 (184), ec216.
[DOI: 10.1126/scisignal.4184ec216] |Abstract »
THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Biostatistical approaches for the reconstruction of gene co-expression networks based on transcriptomic data.
L. Lopez-Kleine, L. Leal, and C. Lopez (2013)
Briefings in Functional Genomics
|Abstract »|Full Text »|PDF »
Linking the signaling cascades and dynamic regulatory networks controlling stress responses.
A. Gitter, M. Carmi, N. Barkai, and Z. Bar-Joseph (2013)
Genome Res.
23, 365-376
|Abstract »|Full Text »|PDF »
Conservation of NLR-triggered immunity across plant lineages.
T. Maekawa, B. Kracher, S. Vernaldi, E. Ver Loren van Themaat, and P. Schulze-Lefert (2012)
PNAS
109, 20119-20123
|Abstract »|Full Text »|PDF »
Systems Analysis of Plant Functional, Transcriptional, Physical Interaction, and Metabolic Networks.
G. W. Bassel, A. Gaudinier, S. M. Brady, L. Hennig, S. Y. Rhee, and I. De Smet (2012)
PLANT CELL
24, 3859-3875
|Abstract »|Full Text »|PDF »
Dual disease resistance mediated by the immune receptor Cf-2 in tomato requires a common virulence target of a fungus and a nematode.
J. L. Lozano-Torres, R. H. P. Wilbers, P. Gawronski, J. C. Boshoven, A. Finkers-Tomczak, J. H. G. Cordewener, A. H. P. America, H. A. Overmars, J. W. Van 't Klooster, L. Baranowski, et al. (2012)
PNAS
109, 10119-10124
|Abstract »|Full Text »|PDF »
Utilizing RNA-Seq data for de novo coexpression network inference.
O. D. Iancu, S. Kawane, D. Bottomly, R. Searles, R. Hitzemann, and S. McWeeney (2012)
Bioinformatics
28, 1592-1597
|Abstract »|Full Text »|PDF »
Integrated Systems View on Networking by Hormones in Arabidopsis Immunity Reveals Multiple Crosstalk for Cytokinin.
M. Naseem, N. Philippi, A. Hussain, G. Wangorsch, N. Ahmed, and T. Dandekar (2012)
PLANT CELL
24, 1793-1814
|Abstract »|Full Text »|PDF »
A Comprehensive Dataset of Genes with a Loss-of-Function Mutant Phenotype in Arabidopsis.