Project description:Transcriptional profiling of Vitis vinifera cv. Chardonnay healthy vs. Phytoplasma-infected plants (Bois noir phytoplasma). Study was conducted on grapevine plants grown in the same vineyard (leaf midribs were sampled). Keywords: disease state analysis
Project description:The genome of rice orange leaf phytoplasma strain LD1 from Luoding City, Guangdong, China, was sequenced. The draft LD1 genome is 599,264 bp, with a G+C content of 28.2%, 647 predicted open reading frames, and 33 RNA genes.
Project description:Transcriptional profiling of Vitis vinifera cv. Chardonnay healthy vs. Phytoplasma-infected plants (Bois noir phytoplasma). Study was conducted on grapevine plants grown in the same vineyard (leaf midribs were sampled). Keywords: disease state analysis Two-condition experiment: healthy vs. infected plants/shoots. Biological replicates: 4 healthy, 4 infected. No replicates. Each sample was prepared as a pool of several samples (each sample was collected from a different shoots/plants) of the same disease status. Each sample was co-hybridized to a common reference cRNA (pool of all samples).
Project description:Transcriptional profiling of phytoplasma grown in plant (Chrysanthemum coronarium) and grown in insect (Macrosteles striifrons). Two-condition experiment, phytoplasma-infected plant and phytoplasma-infected insect. Biological replicates: 6 phytoplasma-infected plants and 6 phytoplasma-infected insects, independently grown and harvested. One replicate per array.
Project description:Transcriptional profiling of phytoplasma grown in plant (Chrysanthemum coronarium) and grown in insect (Macrosteles striifrons). Two-condition experiment, phytoplasma-infected plant and phytoplasma-infected insect. Biological replicates: 4 phytoplasma-infected plants and 4 phytoplasma-infected insects, independently grown and harvested. One replicate per array.
Project description:Rice leaves consist of three distinct regions along a proximal-distal axis, namely, the leaf blade, sheath, and blade-sheath boundary region. Each region has a unique morphology and function, however,but the genetic programs underlying the development of each region are poorly understood. To capture the entire picture of rice leaf development and to discover genes with unique functions in rice and grasses, it is crucial to explore genome-wide transcriptional profiles during the development of the three regions. In this study, we performed microarray analysis to profile the spatial and temporal patterns of gene expression in the rice leaf using dissected parts of leaves sampled in broad developmental stages.