Abstract
Deep transcriptome profiling of pathogen-infected tissues enhances the understanding of molecular mechanisms underlying host–pathogen interactions. Illumina’s next generation sequencing technology sequencing-by-synthesis (SBS) is a powerful tool to rapidly sequence genomes and transcriptomes at an affordable rate. We modified the procedure for SBS library construction to significantly increase the efficiency of library construction. Using our improved method, two Sclerotinia homoeocarpa libraries were constructed from mycelia grown in potato dextrose broth (PDB) or potato dextrose agar (PDA) for 96 h, respectively, and two creeping bentgrass libraries were constructed from leaves 96 h after inoculation with S. homoeocarpa or water sprayed, respectively. About 4–7 million mRNA signatures were sequenced from each library. Sequence analysis using BLAST was performed against sequenced fungal genomes and rice genomic sequence to identify the expressed genes in both S. homoeocarpa mycelia and creeping bentgrass. Bioinformatic analysis identified many expressed genes in the pathogen and host. A public database to access the sequence data was developed at http://www.dstidb.org. Our results demonstrate how SBS technology can unravel transcriptome complexity during the creeping bentgrass–S. homoeocarpa interaction.
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References
Couch, H.B. (1995) Diseases of turfgrasses, 3rd ed. Krieger publishing co., Malabar, FL.
Smiley, R.W., Dernoeden, P.H. and Clarke, B.B. (2005) Compendium of Turfgrass Diseases. Third Edition, APS Press.
Vargas, J.M. (2005) Management of turfgrass diseases. 3rd edition, John Wiley and Sons, Inc., New Jersey.
Venu, R. C., Beaulieu, R.A., Graham, T.L., Medina, A.M. and Boehm, M.J. (2009) Dollar spot fungus Sclerotinia homoeocarpa produces oxalic acid. Inter. Turfgrass Soc. Res. J. 11, 263–270.
Walsh, B., Ikeda, S.D. and Boland, G.J. (1999) Biology and management of dollar spot (Sclerotinia homoeocarpa): an important disease of turfgrass. Hort. Sci. 34, 13–21.
Gowda, M., Jantasuriyarat, C., Dean R., Wang, G.L. (2004) A robust-longSAGE method for large-scale gene discovery and transcriptome profiling. Plant Physiol. 134, 890–897.
Jantasuriyarat, C., Gowda, M., Haller, K., Hatfield, J., Lu, G., Stahlberg, E., et al. (2005) Large-scale identification of ESTs involved in rice and rice blast (Magnaporthe grisea) interaction. Plant Physiol. 138, 105–115.
Venu, R.C., Jia, Y., Gowda, M., Jia, M.H., Jantasuriyarat, C., Stahlberg, E., et al. (2007) RL-SAGE and microarray analysis of the rice transcriptome after Rhizoctonia solani infection. Mol. Genet. Genomics 278, 421–431.
Wise, P.R., Moscou, J, M., Bogdanove, J.A., and Whitham, A.S. (2007) Transcript profiling in host-pathogen interactions. Annu. Rev. Phytopathol. 45, 329–369.
Margulies, M., Egholm, M., Altman, W.E., Attiya, S., Bader, J.S., Bemben, L.A., et al. (2005) Genome sequencing in microfabricated high-density picolitre reactors. Nature 437, 376–380.
Bentley, D.R. (2006) Whole-genome resequencing. Curr. Opin. Genet. Dev. 16,545–552.
Shendure, J., Porreca, G.J., Reppas, N.B., Lin, X., McCutcheon, J.P., Rosenbaum, A.M., et al. (2005) Accurate multiplex polony sequencing of an evolved bacterial genome. Science 309, 1728–1732.
Simon, S.A., Zhai, J., Nandety, R.S., McCormick, Zeng, J., Mejia, D., et al. (2009) Short-read sequencing technologies for transcriptional analyses. Annu. Rev. Plant Biol. 60, 305–333.
Bennett, F.T. (1937) Dollar spot disease of turf and its causal organism. Sclerotinia homoeocarpa n. sp. Ann. Appl. Biol. 24, 236–257.
Meyers, B.C., Tej, S.S., Vu, T.H., Haudenschild, C.D., Agrawal, V., Edberg, S.B., et al. (2004) The use of MPSS for whole- genome transcriptional analysis in Arabidopsis. Genome Res. 14, 1641–1653.
Nobuta, K., Venu, R.C., Lu, C., Belo, A., Vemaraju K., Kulkarni K., et al. (2007) An expression atlas of rice mRNA and small RNA. Nat. Biotechnol. 25, 473–477.
Acknowledgments
This work was supported by grants from the NSF Plant Genome Program (#0321437 and #0701745; Dr. Guo-Liang Wang and Dr. Blake Meyers), and state and federal funds appropriated to the Ohio Agricultural Research and Development Center (Dr. Michael Boehm). We thank Mr. Gaurav Jain for his help in extraction of experimental signatures from raw SBS data.
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Venu, R.C. et al. (2011). Large Scale Identification of Genes Involved in Plant–Fungal Interactions Using Illumina’s Sequencing-by-Synthesis Technology. In: Xu, JR., Bluhm, B. (eds) Fungal Genomics. Methods in Molecular Biology, vol 722. Humana Press. https://doi.org/10.1007/978-1-61779-040-9_12
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DOI: https://doi.org/10.1007/978-1-61779-040-9_12
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