ABSTRACT: 300 bp paired end MiSeq sequencing of a 315 bp amplicon from G. pallida mitochondrial Cytochrome B sequence amplified from approx 1000 samples each with unique barcode pair appended to primers.
Project description:As part of the Globodera pallida (potato cyst nematode) genome project weare profiling the transcriptome of the parasite across its life cycle usingRNA-Seq. . This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
Project description:We compared the gene expression of Solanum tuberosum genotype SH infected with either Globodera pallida D383, E400 or mock infected. After we (mock)-infected the plants we collected gall-enriched tissue 3 and 6 days post infection. The transcriptomes were measured using RNA-seq. The aim of the experiment was to determine how the plant immune response developed after activation of the resistance gene Gpa2 by D383, as E400 is able to overcome that resistance.
Project description:Rosa chinensis ‘Pallida’ (Rosa L.) is one of the most important ancient rose cultivars originating from China. It contributed the ‘tea scent’ trait to modern roses. However, little information is available on the gene regulatory networks involved in scent biosynthesis and metabolism in Rosa. In this study, the transcriptome of R. chinensis ‘Pallida’ petals at different developmental stages, from flower buds to senescent flowers, was investigated using Illumina sequencing technology. De novo assembly generated 89,614 clusters with an average length of 428 bp. Based on sequence similarity search with known proteins, 62.9% of total clusters were annotated. Out of these annotated transcripts, 25,705 and 37,159 sequences were assigned to gene ontology and clusters of orthologous groups, respectively. The dataset provides information on transcripts putatively associated with known scent metabolic pathways. Digital gene expression (DGE) was obtained using RNA samples from flower bud, open flower and senescent flower stages. Comparative DGE and quantitative real time PCR permitted the identification of five transcripts encoding proteins putatively associated with scent biosynthesis in roses. The study provides a foundation for scent-related genes discovery in roses.