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cDNA-AFLP analysis reveals differential gene expression in compatible interaction of wheat challenged with Puccinia striiformis f. sp. tritici

机译:cDNA-AFLP分析揭示了小麦在小麦条锈菌挑战下的相容相互作用中的差异基因表达。 sp。小麦

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Background Puccinia striiformis f. sp. tritici is a fungal pathogen causing stripe rust, one of the most important wheat diseases worldwide. The fungus is strictly biotrophic and thus, completely dependent on living host cells for its reproduction, which makes it difficult to study genes of the pathogen. In spite of its economic importance, little is known about the molecular basis of compatible interaction between the pathogen and wheat host. In this study, we identified wheat and P. striiformis genes associated with the infection process by conducting a large-scale transcriptomic analysis using cDNA-AFLP. Results Of the total 54,912 transcript derived fragments (TDFs) obtained using cDNA-AFLP with 64 primer pairs, 2,306 (4.2%) displayed altered expression patterns after inoculation, of which 966 showed up-regulated and 1,340 down-regulated. 186 TDFs produced reliable sequences after sequencing of 208 TDFs selected, of which 74 (40%) had known functions through BLAST searching the GenBank database. Majority of the latter group had predicted gene products involved in energy (13%), signal transduction (5.4%), disease/defence (5.9%) and metabolism (5% of the sequenced TDFs). BLAST searching of the wheat stem rust fungus genome database identified 18 TDFs possibly from the stripe rust pathogen, of which 9 were validated of the pathogen origin using PCR-based assays followed by sequencing confirmation. Of the 186 reliable TDFs, 29 homologous to genes known to play a role in disease/defense, signal transduction or uncharacterized genes were further selected for validation of cDNA-AFLP expression patterns using qRT-PCR analyses. Results confirmed the altered expression patterns of 28 (96.5%) genes revealed by the cDNA-AFLP technique. Conclusion The results show that cDNA-AFLP is a reliable technique for studying expression patterns of genes involved in the wheat-stripe rust interactions. Genes involved in compatible interactions between wheat and the stripe rust pathogen were identified and their expression patterns were determined. The present study should be helpful in elucidating the molecular basis of the infection process, and identifying genes that can be targeted for inhibiting the growth and reproduction of the pathogen. Moreover, this study can also be used to elucidate the defence responses of the genes that were of plant origin.
机译:背景小麦条锈菌f。 sp。小麦是导致条锈病的真菌病原体,条锈病是世界范围内最重要的小麦疾病之一。这种真菌严格来说是生物营养性的,因此其繁殖完全依赖活的宿主细胞,这使得难以研究病原体的基因。尽管具有经济重要性,但对病原体与小麦宿主之间相容相互作用的分子基础知之甚少。在这项研究中,我们通过使用cDNA-AFLP进行大规模的转录组分析,鉴定了与感染过程相关的小麦和条锈菌基因。结果cDNA-AFLP结合64个引物对获得的54,912个转录本衍生片段(TDFs)中,有2,306(4.2%)的接种后显示了改变的表达模式,其中966个表达上调而1,340个下调。在对208个TDF进行测序后,有186个TDF产生了可靠的序列,其中74个(40%)通过BLAST搜索GenBank数据库具有已知功能。后一组的大多数预测基因产物涉及能量(13%),信号转导(5.4%),疾病/防御(5.9%)和新陈代谢(占测序的TDF的5%)。 BLAST搜索小麦茎锈病真菌基因组数据库,发现了18种可能来自条锈病病原体的TDF,其中9种通过基于PCR的检测方法被病原体来源验证,随后进行了测序确认。在186种可靠的TDF中,进一步选择了29种与已知在疾病/防御,信号转导或未表征的基因中起作用的基因同源的基因,以通过qRT-PCR分析验证cDNA-AFLP表达模式。结果证实了通过cDNA-AFLP技术揭示的28个(96.5%)基因的表达模式改变。结论结果表明,cDNA-AFLP技术是研究涉及小麦-条锈病相互作用的基因表达模式的可靠技术。鉴定了与小麦和条锈病病原体之间相容相互作用的基因,并确定了它们的表达模式。本研究应有助于阐明感染过程的分子基础,并确定可靶向抑制病原体生长和繁殖的基因。此外,该研究还可用于阐明植物来源基因的防御反应。

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