Project description:Transcription profiling by high throughput sequencing of the potato (genotype RH89-039-16) ArrayExpress Release Date: 2011-07-11 Person Roles: submitter Person Last Name: Soenderkaer Person First Name: Mads Person Mid Initials: Person Email: mson@bio.aau.dk Person Phone: 4530532492 Person Address: Sohngaardsholmsvej 49, 9000 Aalborg, Denmark Person Affiliation: Aalborg University
2011-07-14 | GSE30615 | GEO
Project description:RH89-039-16 Genome sequencing and assembly
Project description:Transcriptome Analysis of the potato (genotype RH89-039-16). To aid annotation and address a series of biological questions, we generated RNA-Seq data from 16 RH libraries representing all major tissue types, developmental stages and responses to abiotic and biotic stresses.
Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from Solanum tuberosum tissues (including leaves, flowers and stolon). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the genome under study.
Project description:Solanum lycopersicum and Solanum tuberosum are agriculturally important crop species as they are rich sources of starch, protein, antioxidants, lycopene, beta-carotene, vitamin C, and fiber. The genomes of S. lycopersicum and S. tuberosum are currently available. However the linear strings of nucleotides that together comprise a genome sequence are of limited significance by themselves. Computational and bioinformatics approaches can be used to exploit the genomes for fundamental research for improving their varieties. The comparative genome analysis, Pfam analysis of predicted reviewed paralogous proteins was performed. It was found that S. lycopersicum proteins belong to more families, domains and clans in comparison with S. tuberosum. It was also found that mostly intergenic regions are conserved in two genomes followed by exons, intron and UTR. This can be exploited to predict regions between genomes that are similar to each other and to study the evolutionary relationship between two genomes, leading towards the development of disease resistance, stress tolerance and improved varieties of tomato.