XbDonTrun
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB80630 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Arundo donax L. is one of the most promising bioenergy crop due to its high biomass yield and low irrigation requirement. The resistance to biotic and abiotic stress causes the high invasiveness of this plant, which can grow with very low management input (e.g., pesticides, fertilization, irrigation) even in marginal lands or in fields irrigated with waste or salty water. We report the leaf transcriptome sequencing, de novo assembly and annotation of a giant reed G34 genotype under salt stress. This genotype shows a different transcriptomic response to salinity compared to other A. donax genotypes. This finding was unexpected considering that the genetic variability of this species is supposed to be low due to its vegetative reproductive process. This study aims to direct future efforts towards the A. donax genetic improvement.
2020-02-24 | GSE125104 | GEO
Project description:Arundo donax L. is one of the most promising bioenergy crop due to its high biomass yield and low irrigation requirement. The resistance to biotic and abiotic stress causes the high invasiveness of this plant which can grow with very low management input (e.g., pesticides, fertilization, irrigation) even in marginal lands or in fields irrigated with waste or salty water. Despite its economic importance, the A. donax genomic resources are still limited. In particular, no information on its transcriptional response to salt stress is available.We report the leaf transcriptome sequencing, de novo assembly and annotation of a giant reed genotype under two levels of salt stress. The study will be useful for providing insight into the molecular mechanism underlying its extreme adaptability also offering a platform for directing future efforts towards the genetic improvement of this species.
2019-02-01 | GSE121552 | GEO
Project description:Gordius_albopunctatus, genomic and transcriptomic data
| PRJEB78907 | ENA
Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.
2017-12-18 | PXD006238 | Pride
Project description:Kyklioacalles roboris, genomic and transcriptomic data
| PRJEB76838 | ENA