Ontology highlight
ABSTRACT:
PROVIDER: PRJNA854922 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR16118497_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR18334026_1.fastq.gz | Fastqsanger.gz | |||
| SRR18334026_2.fastq.gz | Fastqsanger.gz |
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Project description:Genome sequencing of Latheticus oryzae adult male principal pseudohaplotype
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Project description:Vongsangnak2008 - Genome-scale metabolic
network of Aspergillus oryzae (iWV1314)
This model is described in the article:
Improved annotation through
genome-scale metabolic modeling of Aspergillus oryzae.
Vongsangnak W, Olsen P, Hansen K,
Krogsgaard S, Nielsen J.
BMC Genomics 2008; 9: 245
Abstract:
BACKGROUND: Since ancient times the filamentous fungus
Aspergillus oryzae has been used in the fermentation industry
for the production of fermented sauces and the production of
industrial enzymes. Recently, the genome sequence of A. oryzae
with 12,074 annotated genes was released but the number of
hypothetical proteins accounted for more than 50% of the
annotated genes. Considering the industrial importance of this
fungus, it is therefore valuable to improve the annotation and
further integrate genomic information with biochemical and
physiological information available for this microorganism and
other related fungi. Here we proposed the gene prediction by
construction of an A. oryzae Expressed Sequence Tag (EST)
library, sequencing and assembly. We enhanced the function
assignment by our developed annotation strategy. The resulting
better annotation was used to reconstruct the metabolic network
leading to a genome scale metabolic model of A. oryzae.
RESULTS: Our assembled EST sequences we identified 1,046 newly
predicted genes in the A. oryzae genome. Furthermore, it was
possible to assign putative protein functions to 398 of the
newly predicted genes. Noteworthy, our annotation strategy
resulted in assignment of new putative functions to 1,469
hypothetical proteins already present in the A. oryzae genome
database. Using the substantially improved annotated genome we
reconstructed the metabolic network of A. oryzae. This network
contains 729 enzymes, 1,314 enzyme-encoding genes, 1,073
metabolites and 1,846 (1,053 unique) biochemical reactions. The
metabolic reactions are compartmentalized into the cytosol, the
mitochondria, the peroxisome and the extracellular space.
Transport steps between the compartments and the extracellular
space represent 281 reactions, of which 161 are unique. The
metabolic model was validated and shown to correctly describe
the phenotypic behavior of A. oryzae grown on different carbon
sources. CONCLUSION: A much enhanced annotation of the A.
oryzae genome was performed and a genome-scale metabolic model
of A. oryzae was reconstructed. The model accurately predicted
the growth and biomass yield on different carbon sources. The
model serves as an important resource for gaining further
insight into our understanding of A. oryzae physiology.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180056.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180056 | BioModels
Project description:The Aspergillus oryzae, an important filamentous fungus used in food fermentation and enzyme industry, has been revealed to own prominent features in its genomic compositions by genome sequencing and various other tools. However, the functional complexity of the A. oryzae transcriptome has not yet been fully elucidated. Here, we applied direct high-throughput paired-end RNA sequencing (RNA-Seq) to the transcriptome of A. oryzae under four different culture conditions and confirmed most of the annotated genes. Moreover, with high resolution and sensitivity afforded by RNA-Seq, we were able to identify a substantial number of novel transcripts, new exons, untranslated regions, alternative upstream initiation codons (uATGs) and upstream open reading frames (uORFs), which serves a remarkable insight into the A. oryzae transcriptome. We also were able to assess the alternative mRNA isoforms in A. oryzae and found a large number of genes undergoing alternative splicing. Many genes or pathways that might involve in higher levels of protein production in solid-state culture than in liquid culture were identified by comparing gene expression levels between different cultures. Our analysis indicated that the transcriptome of A. oryzae was much more complex than previously anticipated and the results might provide a blueprint for further study of A. oryzae transcriptome. mRNA expression of Aspergillus oryzae in 4 different culture conditions was determined by method of RNA-Seq using short reads from high throughput sequencing technology.
2010-02-02 | E-GEOD-18851 | biostudies-arrayexpress
Project description:The Aspergillus oryzae, an important filamentous fungus used in food fermentation and enzyme industry, has been revealed to own prominent features in its genomic compositions by genome sequencing and various other tools. However, the functional complexity of the A. oryzae transcriptome has not yet been fully elucidated. Here, we applied direct high-throughput paired-end RNA sequencing (RNA-Seq) to the transcriptome of A. oryzae under four different culture conditions and confirmed most of the annotated genes. Moreover, with high resolution and sensitivity afforded by RNA-Seq, we were able to identify a substantial number of novel transcripts, new exons, untranslated regions, alternative upstream initiation codons (uATGs) and upstream open reading frames (uORFs), which serves a remarkable insight into the A. oryzae transcriptome. We also were able to assess the alternative mRNA isoforms in A. oryzae and found a large number of genes undergoing alternative splicing. Many genes or pathways that might involve in higher levels of protein production in solid-state culture than in liquid culture were identified by comparing gene expression levels between different cultures. Our analysis indicated that the transcriptome of A. oryzae was much more complex than previously anticipated and the results might provide a blueprint for further study of A. oryzae transcriptome.
2010-02-02 | GSE18851 | GEO
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc
Project description:Omics approaches are broadly used to explore endocrine and toxicity-related pathways and functions. Nevertheless, there is still a significant gap in knowledge in terms of understanding the endocrine system and its numerous connections and intricate feedback loops, especially in non-model organisms. The fathead minnow (Pimephales promelas) is a widely used small fish model for aquatic toxicology and regulatory testing, particularly in North America. A draft genome has been published but the amount of available genomic or transcriptomic information is still far behind that of other more broadly studied species, such as the zebrafish. Here, we surveyed the tissue-specific proteome and transcriptome profiles in adult male fathead minnow. To do so, we generated a draft transcriptome using short and long sequencing reads. We also performed RNA sequencing and proteomics analysis on the telencephalon, hypothalamus, liver, and gut of male fish. The main purpose of this analysis was to generate tissue-specific omics data in order to support future aquatic ecotoxicogenomic and endocrine-related studies as well as to improve our understanding of the fathead minnow as an ecological model.
2018-10-15 | PXD010216 | Pride