Journal Article

Comparative Gene Expression Analysis of Susceptible and Resistant Near-Isogenic Lines in Common Wheat Infected by <i>Puccinia triticina</i>

Alagu Manickavelu, Kanako Kawaura, Kazuko Oishi, Tadasu Shin-I, Yuji Kohara, Nabila Yahiaoui, Beat Keller, Ayako Suzuki, Kentaro Yano and Yasunari Ogihara

in DNA Research

Published on behalf of Kazusa DNA Research Institute

Volume 17, issue 4, pages 211-222
Published in print August 2010 | ISSN: 1340-2838
Published online April 2010 | e-ISSN: 1756-1663 | DOI: http://dx.doi.org/10.1093/dnares/dsq009

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Gene expression after leaf rust infection was compared in near-isogenic wheat lines differing in the Lr10 leaf rust resistance gene. RNA from susceptible and resistant plants was used for cDNA library construction. In total, 55 008 ESTs were sequenced from the two libraries, then combined and assembled into 14 268 unigenes for further analysis. Of these ESTs, 89% encoded proteins similar to (E value of ≤10−5) characterized or annotated proteins from the NCBI non-redundant database representing diverse molecular functions, cellular localization and biological processes based on gene ontology classification. Further, the unigenes were classified into susceptible and resistant classes based on the EST members assembled from the respective libraries. Several genes from the resistant sample (14-3-3 protein, wali5 protein, actin-depolymerization factor and ADP-ribosylation factor) and the susceptible sample (brown plant hopper resistance protein, caffeic acid O-methyltransferase, pathogenesis-related protein and senescence-associated protein) were selected and their differential expression in the resistant and susceptible samples collected at different time points after leaf rust infection was confirmed by RT–PCR analysis. The molecular pathogenicity of leaf rust in wheat was studied and the EST data generated made a foundation for future studies.

Keywords: wheat; leaf rust; ESTs; resistance; susceptible

Journal Article.  6231 words.  Illustrated.

Subjects: Genetics and Genomics

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