Comprehensive screening of gene expression pattern as indicator of stress diagnosis in leaf photosynthesis

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We generated 355, 845, 739 sequence from a full-length enriched cDNA library of beech(Fagus crenata) leaves by using 454 next generation sequencer. The DNA microarray for analysis of gene expression of beech leaves was developed, 12, 446 annotated genes and 31, 357 non-annotated genes. The high temperature-, drought-and acidification(H_2O_2)-specific gene expression patterns were found. The soil-drought intensity-and its history-dependent gene expression pattern related to photosynthetic reduction were found. These results suggested that transcriptome analysis will became promising method that provides useful indicators for diagnosis of health and stress of beech leaves.