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Identification of genes involved in stem rust resistance from wheat mutant D51 with the cDNA-AFLP technique

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Abstract

Wheat (Triticum aestivum L.) stem rust caused by Puccinia graminis f. sp. tritici is one of the main diseases of wheat worldwide. Wheat mutant line D51, which was derived from the highly susceptible cultivar L6239, shows resistance to the prevailing races 21C3CPH, 21C3CKH, and 21C3CTR of P. graminis f. sp. tritici in China. In this study, we used the cDNA-AFLP technology to identify the genes that are likely involved in the stem rust resistance. EcoRI/MseI selective primers were used to generate approximately 1920 DNA fragments. Seventy five differentially transcribed fragments (3.91%) were identified by comparing the samples of 21C3CPH infected D51 with infected L6239 or uninfected D51. Eleven amplified cDNA fragments were sequenced. Eight showed significant similarity to known genes, including TaLr1 (leaf rust resistance gene), wlm24 (wheat powdery mildew resistance gene), stress response genes and ESTs of environment stress of tall fescue. These identified genes are involved in plant defense response and stem rust resistance and need further research to determine their usefulness in breeding new resistance cultivars.

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References

  1. Roelfs AP (1978) Estimated losses caused by rust in small grain cereals in the United States—1918-76. U.S. Department of Agriculture, Agricultural Research Service, Miscellaneous Publication 1363

  2. Roelfs AP, Long DL, Roberts JJ (1993) Races of Puccinia graminis in the United States during 1990. Plant Dis 77:125–128

    Google Scholar 

  3. Cao YY, Yao P, Liu WZ, Wu YS (1996) Pathogenic spectrum analysis of 21C3CTR of Puccinia graminis f. sp. tritici in China. J Shenyang Agric Univ 27:26–30

    Google Scholar 

  4. Singh RP, Hodson DP, Jin Y, Huerta-Espino J, Kinyua MG, Wanyera R, Njau P, Ward RW (2006) Current status, likely migration and strategies to mitigate the threat to wheat production from race Ug99 (TTKS) of stem rust pathogen. CAB Rev Perspect Agric Vet Sci Nutr Nat Resour 54:1–13

    Google Scholar 

  5. Wanyera R, Kinyua MG, Jin Y, Singh RP (2006) The spread of stem rust caused by Puccinia graminis f. sp. tritici, with virulence on Sr31 in wheat in eastern Africa. Plant Dis 90:113

    Article  Google Scholar 

  6. Yin J, Wang GJ, Ma FM, Sun Y, Zhang HJ, Xiao JL (2007) Advances in resistance heredity and resistance stem rust genes of wheat. J Plant Genet Resour 1:257–262

    Google Scholar 

  7. Pretorius ZA, Singh RP, Wagoire WW, Payne TS (2000) Detection of virulence to wheat stem rust resistance gene Sr31 in Puccinia graminis f. sp. tritici in Uganda. Plant Dis 84:203

    Article  Google Scholar 

  8. Jin Y, Singh RP, Ward RW, Wanyera R, Kinyua M, Njau P, Fetch T, Pretorius ZA, Yahyaoui A (2007) Characterization of seedling infection types and adult plant infection response of monogenic Sr gene lines to race TTKS of Puccinia graminis f. sp. tritici. Plant Dis 91:1096–1099

    Article  Google Scholar 

  9. Jin Y, Szabo L, Pretorius ZA, Singh RP, Fetch T (2008) Detection of virulence to Sr24 within race TTKS of Puccinia graminis f. sp. tritici. Plant Dis 92:923–926

    Article  Google Scholar 

  10. Bachem CW, Hoeven RS, Bruijn SM, Vreugdenhil D, Zabeau M, Visser RG (1996) Visualization of differential gene expression using a novel method of RNA fingerprinting based on AFLP: analysis of gene expression during potato tuber development. Plant J 9:745–753

    Article  CAS  PubMed  Google Scholar 

  11. Teemu K, Mikko A, Markku S, Merja P, Esko U (2005) Optimization of cDNA-AFLP experiments using genomic sequence data bioinformatics. Theor Appl Genet 21:2573–2579

    Google Scholar 

  12. Breyne P, Dreesen R, Vandepoele K, Veylder LD, Breusegem FV, Callewaer L, Rombauts S, Raes J, Cannoot B, Engler G, Inze D, Zabeau M (2002) Transcriptome analysis during cell division in plants. PNAS 99:14825–14830

    Article  CAS  PubMed  Google Scholar 

  13. Breyne P, Dreesen R, Cannoot B, Rombaut D, Vandepoele K, Rombauts S, Vanderhaeghen R, Inzé D, Zabeau M (2003) Quantitative cDNA-AFLP analysis for genome-wide expression studies. Mol Genet Genomics 269:173–179

    CAS  PubMed  Google Scholar 

  14. Ditt RF, Nester EW, Comai L (2001) Plant gene expression response to Agrobacterium tumefaciens. PNAS 98:10954–10959

    Article  CAS  PubMed  Google Scholar 

  15. Fukumura R, Takahashi H, Saito T, Tsutsumi Y, Fujimori A, Sato S, Tatsumi K, Araki R, Abe M (2003) A sensitive transcriptome analysis method that can detect unknown transcripts. Nucleic Acids Res 31:94

    Article  Google Scholar 

  16. Evans SJ, Datson NA, Kabbaj M, Thompson RC, Vreugdenhil E, Dekloete R, Watson SJ, Akil H (2002) Evaluation of Affymetrix gene chip sensitivity in rat hippocampal tissue using SAGE analysis. Eur J Neurosci 16:409–413

    Article  PubMed  Google Scholar 

  17. Zhang L, Meakin H, Dickinson M (2003) Isolation of genes expressed during compatible interactions between leaf rust (Puccinia triticina) and wheat using cDNA-AFLP. Mol Plant Pathol 6:469–475

    Article  Google Scholar 

  18. Guo J, Jiang RHY, Kamphuis LG, Govers F (2006) A cDNA-AFLP based strategy to identify transcripts associated with avirulence in Phytophthora infestans. Fungal Genet Biol 43:111–123

    Article  CAS  PubMed  Google Scholar 

  19. Ling Q, Pjotr P, John TJ, Herman P, Geert S, Jaap B, Johannes H (2001) GenEST, a powerful bidirectional link between cDNA sequence data and gene expression profiles generated by cDNA-AFLP. Nucleic Acids Res 29:1616–1622

    Article  Google Scholar 

  20. Yin J, Wang GJ, Ma FM, Zhang HJ, Xiao JL, Sun Y, Diao YL, Huang JH, Guo Q (2008) Genetic analysis and SSR mapping of stem rust resistance gene from wheat mutant D51. Front Agric China 2(2):131–136

    Article  Google Scholar 

  21. Sun Y, Yin J, Wang GJ, Zhang HJ, Huang JH, Guo Q (2007) Gain wheat mutant longfu 03D51 with resisting stem rust and genetic analyzation of resisting disease and RAPD marker. J Nucl Agric Sci 2:278–282

    Google Scholar 

  22. Roelfs AP (1988) An international system of nomenclature for Puccinia graminis f. sp. tritici. Phytopathology 78:526–533

    Article  Google Scholar 

  23. Vos P, Hogers R, Bleeker M, Reijans M, van de Lee T, Hornes M, Frijters A, Pot J, Peleman J, Kuiper M, Zabeau M (1995) AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res 23:4407–4414

    Article  CAS  PubMed  Google Scholar 

  24. Piedras KE, Hammond K, Jonathan DG (2000) cDNA-AFLP reveals a striking overlap in race-specific resistance and wound response gene expression. Plant Cell 1:963–977

    Google Scholar 

  25. Laurent N, Frank T, Dirk N, Ulla B (2001) cDNA-AFLP analysis unravels a genome-wide hrpG-regulon in the plant pathogen Xanthomonas campestris pv. Esicatoria. Mol Microbiol 41:1271–1281

    Article  Google Scholar 

  26. Morgan KT, Ni H, Brown HR (2002) Application of cDNA microarray technology to in vitro toxicology and the selection of genes for a real-time RT PCR-based screen for oxidative stress in Hep-G2 cells. Toxicol Pathol 30:435–451

    Article  CAS  PubMed  Google Scholar 

  27. Durrant WE, Rowland O, Piedras P, Hammond-Kosack KE, Jones JD (2000) cDNA-AFLP reveals a striking overlap in race-specific resistance and wound response gene expression profiles. Plant Cell 12:967–977

    Article  Google Scholar 

  28. Willem VV, Juan CG, Annick DK, Riet DR, Stéphane R, Nicolas M, Peter M, Eva K, Marcelle H, Sofie G (2006) Aging in legume symbiosis. A molecular view on nodule senescence in Medicago truncatula. Plant Physiol 141:711–721

    Article  Google Scholar 

  29. Preeti D, Dimitra M, Brian W, Nicola S, Keith R, Maureen C (2005) A RING domain gene is expressed in different cell types of leaf trace, stem, and juvenile bundles in the stem vascular system of zinnia. Plant Physiol 138:1383–1395

    Article  Google Scholar 

  30. Goossens A, Hakkinen ST, Laakso I, Seppanen-Laakso T, Biondi S, Sutter VD, Lammertyn F, Nuutila AM, Soderlund H, Zabeau M, Inze D, Oksman-Caldentey KM (2003) A functional genomics approach toward the understanding of secondary metabolism in plant cells. PNAS 100:8595–8600

    Article  CAS  PubMed  Google Scholar 

  31. Ward C, Jeroen D, Stephane R, Jeroen D, Annick D, Marcelle H, Sofie G (2007) Comparative transcriptome analysis reveals common and specific tags for root hair and crack-entry invasion in Sesbania rostrata. Plant Physiol 144:1878–1889

    Article  Google Scholar 

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Acknowledgements

We are grateful to Professor Chao Yuanyin, Yao Ping and Qiu Yongchun from Shenyang Agricultural University for their technical assistance in the inoculation and indentation of wheat stem rust. This research was financially supported by the Natural Science Foundation of Heilongjiang Province (2007–2009), China.

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Correspondence to Jing Yin or Guangjin Wang.

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Yin, J., Wang, G., Xiao, J. et al. Identification of genes involved in stem rust resistance from wheat mutant D51 with the cDNA-AFLP technique. Mol Biol Rep 37, 1111–1117 (2010). https://doi.org/10.1007/s11033-009-9870-2

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  • DOI: https://doi.org/10.1007/s11033-009-9870-2

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