Deuterostichococcus_GUPI18
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB62144 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Nicotiana benthamiana is an important model organism and representative of the Solanaceae (Nightshade) family. N. benthamiana has a complex ancient allopolyploid genome with 19 chromosomes, and an estimated genome size of 3.1Gb. Several draft assemblies of the N. benthamiana genome have been generated, however, many of the gene-models in these draft assemblies appear incorrect. Here we present a nearly non-redundant database of improved N. benthamiana gene-models based on gene annotations from well-annotated genomes in the Nicotiana genus. We show that the new predicted proteome is more complete than the previous proteomes and more sensitive and accurate in proteomics applications, while maintaining a reasonable low gene number (~43,000). As a proof-of-concept we use this proteome to compare the leaf extracellular (apoplastic) proteome to a total extract of leaves. Several gene families are more abundant in the apoplast. For one of these apoplastic protein families, the subtilases, we present a phylogenetic analysis illustrating the utility of this database. Besides proteome annotation, this database will aid the research community with improved target gene selection for genome editing and off-target prediction for gene silencing.
2019-10-09 | PXD010435 | Pride
Project description:Genome graphs, including the recently released draft human pangenome graph, can represent the breadth of genetic diversity and thus transcend the limits of traditional linear reference genomes. However, there are no genome-graph-compatible tools for analyzing whole genome bisulfite sequencing (WGBS) data. To close this gap, we introduce methylGrapher, a tool tailored for accurate DNA methylation analysis by mapping WGBS data to a genome graph. Notably, methylGrapher can reconstruct methylation patterns along haplotype paths precisely and efficiently. To demonstrate the utility of methylGrapher, we analyzed the WGBS data derived from five individuals whose genomes were included in the first Human Pangenome draft as well as WGBS data from ENCODE (EN-TEx). Along with standard performance benchmarking, we show that methylGrapher fully recapitulates DNA methylation patterns defined by classic linear genome analysis approaches. Importantly, methylGrapher captures a substantial number of CpG sites that are missed by linear methods, and improves overall genome coverage while reducing alignment reference bias. Thus, methylGrapher is a first step towards unlocking the full potential of Human Pangenome graphs in genomic DNA methylation analysis.
2025-02-01 | GSE261315 | GEO
Project description:Cotton bacterial blight (CBB), an important disease of (Gossypium hirsutum) in the early 20th century, had been controlled by resistant germplasm for over half a century. Recently, CBB re-emerged as an agronomic problem in the United States. Analysis of cotton variety planting statistics indicates a steady increase in the percentage of susceptible cotton varieties grown each year since 2009. Phylogenetic analysis revealed that strains from the current outbreak cluster with race 18 Xanthomonas citri pv. malvacearum (Xcm) strains. Illumina based draft genomes were generated for thirteen Xcm isolates. These genomes, along with 4 previously published Xcm genomes, encode 24 conserved and nine variable type three effectors. Strains in the race 18 clade contain 3 to 5 more effectors than other Xcm strains. SMRT sequencing of two geographically and temporally diverse strains of Xcm yielded circular chromosomes and accompanying plasmids. These genomes encode eight and thirteen distinct transcription activator-like effector genes. RNA-sequencing revealed 52 genes induced within two cotton cultivars by both tested Xcm strains. This gene list includes a homeologous pair of genes, with homology to the known susceptibility gene, MLO. In contrast, the two strains of Xcm induce different class III SWEET sugar transporters. Subsequent genome wide analysis revealed patterns in the overall expression of homeologous gene pairs in cotton after inoculation by Xcm. These data reveal host-pathogen specificity at the genetic level and strategies for future development of resistant cultivars.
2017-07-24 | GSE101778 | GEO
Project description:Application of genome-scale 'omics approaches to dissect subcellular pathways and regulatory networks governing interspecies interactions is dependent, at least initially, on the availability of model systems with well-annotated genomes and tractable genetics. We employed controlled cultivation and next-generation sequencing technology to identify transcriptional responses of euryhaline unicellular cyanobacterium Synechococcus sp. PCC 7002 and a marine facultative aerobe Shewanella putrefaciens W3-18-1 to investigate the effect of C sources and C flux directions on the interactions between these organisms.
2013-12-20 | E-GEOD-53360 | biostudies-arrayexpress
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