Abstract
Downy mildew is the single most damaging disease of grapes (Vitis L.) worldwide. A new digital gene expression profiling method was used to estimate gene expression from quantification of expressed sequenced genes. In this report, short sequence reads were generated using restriction digested cDNAs and Solexa tech-nology. This approach was used for deep sequencing transcripts derived from downy mildew infected leaves of Vitis amurensis Rupr. ?Zuoshan-1?. Approximately 8.5 M 21-nt cDNA tags were sequenced in the cDNA library derived from pathogen-infected leaves, and about 7.5 M were sequenced from the cDNA library constructed from the control leaves. After filtering out low quality tags, 8,246,575 and 7,333,564 clean tags remained in the infected (INF) and control (CON) library, respectively, from which 227,799 (INF) and 197,984 (CON) unique tags were obtained. After annotation approximately 7.3 M tags in INF and 6.6 M in CON library were from ?Pinot Noir? karyogene sequences. Few tags matched genes from the Chloroplast (95 in INF and 93 in CON) and Mitochondrion (1110 in INF and 821 in CON). Tags matched to sense and antisense genes were both calculated. Even if the sense genes occupied the greatest part of total genes, the antisense transcripts were also expressed at noticeable level.
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