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  Pathogenicity Determinants in Smut Fungi Revealed by Genome Comparison

Schirawski, J., Mannhaupt, G., Münch, K., Brefort, T., Schipper, K., Doehlemann, G., et al. (2010). Pathogenicity Determinants in Smut Fungi Revealed by Genome Comparison. Science, 330(6010), 1546-1548. doi:10.1126/science.1195330.

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Schirawski, J.1, Author           
Mannhaupt, G.1, Author           
Münch, K., Author
Brefort, T.2, Author           
Schipper, K.1, Author           
Doehlemann, G.1, Author           
Di Stasio, M.1, Author           
Rossel, N., Author
Mendoza-Mendoza, A.1, Author           
Pester, D., Author
Muller, O., Author
Winterberg, B.1, Author           
Meyer, E., Author
Ghareeb, H.1, Author           
Wollenberg, T.1, Author           
Munsterkotter, M., Author
Wong, P., Author
Walter, M., Author
Stukenbrock, E.3, Author           
Guldener, U., Author
Kahmann, R.4, Author            more..
Affiliations:
1Department of Organismic Interactions, Alumni, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, ou_3266313              
2Department of Biogeochemistry, Alumni, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, ou_3266312              
3Max Planck Research Group Fungal Biodiversity, Alumni, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, ou_3266316              
4Emeriti Molecular Phytopathology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, ou_3266291              

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 Abstract: Biotrophic pathogens, such as the related maize pathogenic fungi Ustilago maydis and Sporisorium reilianum, establish an intimate relationship with their hosts by secreting protein effectors. Because secreted effectors interacting with plant proteins should rapidly evolve, we identified variable genomic regions by sequencing the genome of S. reilianum and comparing it with the U. maydis genome. We detected 43 regions of low sequence conservation in otherwise well-conserved syntenic genomes. These regions primarily encode secreted effectors and include previously identified virulence clusters. By deletion analysis in U. maydis, we demonstrate a role in virulence for four previously unknown diversity regions. This highlights the power of comparative genomics of closely related species for identification of virulence determinants.

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Language(s): eng - English
 Dates: 2010-12-10
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 545796
ISI: 000285153500067
DOI: 10.1126/science.1195330
 Degree: -

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Title: Science
Source Genre: Journal
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Pages: - Volume / Issue: 330 (6010) Sequence Number: - Start / End Page: 1546 - 1548 Identifier: ISSN: 0036-8075