Project description:This SuperSeries is composed of the following subset Series: GSE13478: Pearl millet seedlings treated with methyl jasmonate (MeJA) GSE13479: Pearl millet seedlings infected with rust (Puccinia substriata) GSE13480: Pearl millet seedlings treated with salicylic acid (SA) Refer to individual Series
Project description:We present here a transcriptome dataset of millet seedling leaves based on RNA-seq technology. The purpose of this study was to mine the salt and alkali tolerance genes of millet and further explore the mechanism of salt and alkali tolerance of millet. We selected 18 representative samples and conducted in-depth sequencing using the latest sequencing platform to ensure the accuracy and reliability of the data.
Project description:Pearl millet is a major cereal crop that feeds more than 90 million people worldwide in arid and semi-arid regions. The stalk phenotypes of Poaceous grasses are critical for their productivity and stress tolerance, however, the molecular mechanisms governing stalk development in pearl millet remained to be deciphered. In this study, we spatiotemporally measured 19 transcriptomes for stalk internodes of four different early developmental stages. Data analysis of the transcriptomes defined 4 developmental zones on the stalks and identified 12 specific gene sets with specific expression patterns across the zones. Using weighted gene co-expression network analysis (WGCNA), we found that 2 co-expression modules together with candidate genes were involved in stalk elongation and thickening of pearl millet. Among the elongation-related candidate genes, we established by SELEX that a MYB-family transcription factor PMF7G02448 can bind to the promoters of three cell wall synthases genes (CesAs). In summary, these findings provide insights into stalk development and offer potential targets for future genetic improvement of pearl millet.
Project description:Cancer is predominantly a somatic disease. A mutant allele found in cancer cell genome is considered somatic when it is absent in paired normal genome and dbSNP, the most comprehensive public SNP database. However, dbSNP inadequately represents several non-Caucasian populations including that from the Indian subcontinent, posing a limitation in cancer genomic analyses of data from these populations. We present TMC-SNPdb, as the first open source freely accessible (through ANNOVAR), flexible and upgradable SNP database from whole exome data of 62 normal samples derived from cancer patients of Indian origin, representing 114,309 unique germline variants. TMC-SNPdb is presented with a companion subtraction tool that can be executed with command line option or an easy-to-use graphical user interface (GUI) with the ability to deplete additional Indian population specific SNPs over and above that possible with dbSNP and 1000 Genomes databases. Using an institutional generated whole exome data set of 132 samples of Indian origin, we demonstrate that TMC-SNPdb reduced 42%, 33% and 28% false positive somatic events post dbSNP depletion in Indian origin tongue, gallbladder, and cervical cancer samples, respectively. Beyond cancer somatic analyses, we anticipate utility of TMC-SNPdb in several Mendelian germline diseases.