Digital gene expression profiling of the Phytophthora sojae transcriptome.

Ye, W., Wang, X., Tao, K., Lu, Y., Dai, T., Dong, S., Dou, D., Gijzen, M., and Wang, Y. (2011). "Digital gene expression profiling of the Phytophthora sojae transcriptome.", Molecular Plant-Microbe Interactions, 24(12), pp. 1530-1539. doi : 10.1094/MPMI-05-11-0106  Access to full text

Abstract

The transcriptome of the oomycete plant pathogen Phytophthora sojae was profiled at ten different developmental and infection stages based on a 3′-tag digital gene-expression protocol. More than 90 million clean sequence tags were generated and compared with the P. sojae genome and its 19,027 predicted genes. A total of 14,969 genes were detected, of which 10,044 were deemed reliable because they mapped to unambiguous tags. A comparison of the whole-library genes' expression patterns suggested four groups: i) mycelia and zoosporangia, ii) zoospores and cysts, iii) germinating cysts, and iv) five infection site libraries (IF1.5 to IF24h). The libraries from the different groups showed major transitional shifts in gene expression. From the ten libraries, 722 gene expression–pattern clusters were obtained and the top 16 clusters, containing more than half of the genes, comprised enriched genes with different functions including protein localization, triphosphate metabolism, signaling process, and noncoding RNA metabolism. An evaluation of the average expression level of 30 pathogenesis-related gene families revealed that most were infection induced but with diverse expression patterns and levels. A web-based server named the Phytophthora Transcriptional Database has been established.

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