DhMyrGale1
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB72166 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Myrica gale (bog myrtle) genome assembly, dhMyrGale1, alternate haplotype
| PRJEB72165 | ENA
Project description:Myrica gale (bog myrtle), genomic and transcriptomic data
| PRJEB70985 | ENA
Project description:The actinobacteria Frankia alni is able to induce the formation of nodules on the root of a large spectrum of actinorhizal plants, where it converts dinitrogen to ammonia in exchange for plant photosynthates. In the present study, transcriptional analyses were performed on nitrogen-replete free-living cells and on Alnus glutinosa nodule bacteria, using whole genome microarrays. Distribution of nodule-induced genes on the genome was found to be mostly over regions with high synteny between three Frankia genomes, while nodule-repressed genes, which were mostly hypothetical and not conserved, were spread around the genome. Genes known to be related to symbiosis were highly induced: nif (nitrogenase), hup2 (hydrogenase uptake), suf (sulfur-iron cluster) and shc (hopanoids synthesis). The expression of genes involved in ammonium assimilation and transport was strongly modified suggesting that bacteria ammonium assimilation was limited. Genes involved in particular in transcriptional regulation, signalling processes, protein drug export, protein secretion, lipopolysaccharide and peptidoglycan biosynthesis that may play a role in symbiosis were also identified. We showed that this nodule transcriptome of Frankia was highly similar among phylogenetically distant plant families. To address gene expression changes of Frankia alni ACN in the symbiotic state, we compared transcript levels between young nodules formed on 4 species of trees (Alnus glutinosa, Alnus nepalensis, Myrica gale and Myrica rubra) and free-living cells grown in nitrogen-replete minimal medium. For A. glutinosa nodule and free-living cells, two sets of experiments (A and B) were performed in two different laboratories. Three biological replicates were preformed for each condition.
2010-09-12 | E-GEOD-18190 | biostudies-arrayexpress
Project description:Finding predictive molecular markers for resistance against Myrtle rust may help to identify resistant plants and provide a means of maintaining Myrtaceae production in nursery, especially for ecosystems restoration purposes. Sequence polymorphism involving in differentiate expressed genes are particularly relevant for disease resistance marker design. We sequenced the transcriptomes of resistant and susceptible individuals of three endemic host species: Arillastrum gummiferum, Tristaniopsis glauca and Syzygium longifolium. The rust phenotype of the individuals of each species was defined as "infected" (considered as susceptible) and "healthy" (considered as resistant). We described here a pre-breeding methodology to find disease resistance markers by combining next-generation sequencing, differential gene expression (DGE) and SNP calling. DGE was conducted in parallel using the only one available sequenced Myrtaceae genome (Eucalyptus grandis) and a de novo assembly transcriptome from each species. The edgeR tests if a gene is DE between “infected” individuals versus “healthy” ones. If the fold change log (FC = infected/healthy) is greater than 0, the gene is thus overexpressed in the infected individuals (considered as susceptible).
2018-11-08 | GSE106736 | GEO
Project description:Finding predictive molecular markers for resistance against Myrtle rust may help to identify resistant plants and provide a means of maintaining Myrtaceae production in nursery, especially for ecosystems restoration purposes. Sequence polymorphism involving in differentiate expressed genes are particularly relevant for disease resistance marker design. We sequenced the transcriptomes of resistant and susceptible individuals of three endemic host species: Arillastrum gummiferum, Tristaniopsis glauca and Syzygium longifolium. The rust phenotype of the individuals of each species was defined as "infected" (considered as susceptible) and "healthy" (considered as resistant). We described here a pre-breeding methodology to find disease resistance markers by combining next-generation sequencing, differential gene expression (DGE) and SNP calling. DGE was conducted in parallel using the only one available sequenced Myrtaceae genome (Eucalyptus grandis) and a de novo assembly transcriptome from each species. The edgeR tests if a gene is DE between “infected” individuals versus “healthy” ones. If the fold change log (FC = infected/healthy) is greater than 0, the gene is thus overexpressed in the infected individuals (considered as susceptible).
2018-11-08 | GSE106735 | GEO
Project description:Finding predictive molecular markers for resistance against Myrtle rust may help to identify resistant plants and provide a means of maintaining Myrtaceae production in nursery, especially for ecosystems restoration purposes. Sequence polymorphism involving in differentiate expressed genes are particularly relevant for disease resistance marker design. We sequenced the transcriptomes of resistant and susceptible individuals of three endemic host species: Arillastrum gummiferum, Tristaniopsis glauca and Syzygium longifolium. The rust phenotype of the individuals of each species was defined as "infected" (considered as susceptible) and "healthy" (considered as resistant). We described here a pre-breeding methodology to find disease resistance markers by combining next-generation sequencing, differential gene expression (DGE) and SNP calling. DGE was conducted in parallel using the only one available sequenced Myrtaceae genome (Eucalyptus grandis) and a de novo assembly transcriptome from each species. The edgeR tests if a gene is DE between “infected” individuals versus “healthy” ones. If the fold change log (FC = infected/healthy) is greater than 0, the gene is thus overexpressed in the infected individuals (considered as susceptible).
2018-11-08 | GSE106749 | GEO
Project description:Finding predictive molecular markers for resistance against Myrtle rust may help to identify resistant plants and provide a means of maintaining Myrtaceae production in nursery, especially for ecosystems restoration purposes. Sequence polymorphism involving in differentiate expressed genes are particularly relevant for disease resistance marker design. We sequenced the transcriptomes of resistant and susceptible individuals of three endemic host species: Arillastrum gummiferum, Tristaniopsis glauca and Syzygium longifolium. The rust phenotype of the individuals of each species was defined as "infected" (considered as susceptible) and "healthy" (considered as resistant). We described here a pre-breeding methodology to find disease resistance markers by combining next-generation sequencing, differential gene expression (DGE) and SNP calling. DGE was conducted in parallel using the only one available sequenced Myrtaceae genome (Eucalyptus grandis) and a de novo assembly transcriptome from each species. The edgeR tests if a gene is DE between “infected” individuals versus “healthy” ones. If the fold change log (FC = infected/healthy) is greater than 0, the gene is thus overexpressed in the infected individuals (considered as susceptible).
2018-11-08 | GSE106747 | GEO