Ontology highlight
ABSTRACT:
PROVIDER: PRJNA774152 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR16556442_1.fastq.gz | Fastqsanger.gz | |||
| SRR16556442_2.fastq.gz | Fastqsanger.gz |
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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:We report about the effects of temperature increase on rice response to Xanthomonas oryzae pv. oryzae using high throughput sequencing (RNA-Seq). The time course transcriptomic analysis revealed that temperature enhanced IRBB67 resistance to combined heat and Xoo. Our findings highlight altered cellular compartment by Xoo and heat stress in both susceptible (IR24) and the resistant (IRBB67). Interestingly, up-regulation of trehalose-6-phosphatase gene and low affinity cation transporter in IRBB67 suggest that IRBB67 maintained a certain homeostasis under high temperature to have its resistance enhanced. The interplay of both heat stress and Xoo responses as determined by up-regulated and down-regulated genes demonstrates how resistant plant cope with combined biotic and abiotic stresses. This study provides an understanding of how IRBB67 mediated resistance to Xoo under temperature get insight to cross talk in abiotic and biotic stress regulatory pathway.
2018-03-31 | GSE79011 | GEO
Project description:Hypoxia imposes stress on filamentous fungi that require oxygen to proliferate. Global transcription analysis of Aspergillus oryzae grown under hypoxic conditions found that the expression of about 50% of 4,244 affected genes was either induced or repressed more than 2-fold. A comparison of these genes with the hypoxically-regulated genes of A. nidulans (Masuo et al., Mol. Gen. Genet. 2010, 284:415-424) based on their predicted amino acid sequences classified them as bi-directional best hit (BBH), one-way best hit (extra homolog: EH) and no-hit (non-syntenic genes: NSG) genes. Clustering analysis of the BBH genes indicated that A. oryzae and A. nidulans down-regulated global translation and transcription under hypoxic conditions, respectively. Under hypoxic conditions, both fungi up-regulated genes for alcohol fermentation and the γ-aminobutyrate shunt of the tricarboxylate cycle, whereas A. oryzae up-regulated the glyoxylate pathway, indicating that both fungi eliminate NADH accumulation under hypoxic conditions. The A. oryzae NS genes included specific genes for secondary and nitric oxide metabolism under hypoxic conditions. This comparative transcriptomic analysis discovered common and strain-specific responses to hypoxia in hypoxic Aspergillus species.
2011-07-31 | GSE31046 | GEO
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:Hypoxia imposes stress on filamentous fungi that require oxygen to proliferate. Global transcription analysis of Aspergillus oryzae grown under hypoxic conditions found that the expression of about 50% of 4,244 affected genes was either induced or repressed more than 2-fold. A comparison of these genes with the hypoxically-regulated genes of A. nidulans (Masuo et al., Mol. Gen. Genet. 2010, 284:415-424) based on their predicted amino acid sequences classified them as bi-directional best hit (BBH), one-way best hit (extra homolog: EH) and no-hit (non-syntenic genes: NSG) genes. Clustering analysis of the BBH genes indicated that A. oryzae and A. nidulans down-regulated global translation and transcription under hypoxic conditions, respectively. Under hypoxic conditions, both fungi up-regulated genes for alcohol fermentation and the γ-aminobutyrate shunt of the tricarboxylate cycle, whereas A. oryzae up-regulated the glyoxylate pathway, indicating that both fungi eliminate NADH accumulation under hypoxic conditions. The A. oryzae NS genes included specific genes for secondary and nitric oxide metabolism under hypoxic conditions. This comparative transcriptomic analysis discovered common and strain-specific responses to hypoxia in hypoxic Aspergillus species. We transferred A. oryzae cells from normoxic to hypoxic conditions for 6 h, and then back to normoxic conditions to examine the effect of hypoxia on gene expression. Total RNA was prepared for DNA microarray analysis from the cells after 1, 3, and 6 h of exposure to hypoxia, followed by 1, 3, and 6 h of reoxygenation.
2011-07-30 | E-GEOD-31046 | biostudies-arrayexpress
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:Comparative genomics and transcriptomics of the filamentous fungi Aspergillus oryzae and Aspergillus niger have opened possibilities for investigating the cellular metabolism and regulation of these fungi on a systemic level. The aim of this work was to understand how metabolism is regulated and to identify common regulatory responses between A. oryzae and A. niger. We therefore conducted batch fermentations with A. oryzae and A. niger grown on three different carbon sources (glucose, maltose, and xylose) in order to investigate their genome-wide transcription response Keywords: Two Aspergillus species and different carbon sources
2009-10-22 | GSE13868 | GEO
Project description:Conserved transcriptional regulation of glycerol metabolism was investigated in three Aspergillus species, A. nidulans, A. oryzae and A. niger. For this purpose, batch cultivations under well controlled conditions were performed with the three Aspergilli. Samples for RNA extraction were collected and further processed for hybridization in custom designed Affymetrix microarrays containing probes for the three Aspergillus species. Protein comparisons and cross analysis with gene expression data of all three species resulted in the identification of 88 genes having a conserved response across the three Aspergillus species. A promoter analysis of the up-regulated genes led to the identification of a conserved binding site for a putative regulator. Triplicate batch fermentations with each of the three Aspergillus species were carried out and transcriptome analysis was performed. Biomass from each Aspergillus species was harvested in the exponential phase of growth and further processed for RNA extraction and hybridization on Affymetrix microarrays.
2010-06-21 | E-GEOD-15702 | biostudies-arrayexpress
Project description:we utilized transcriptome sequencing to identify differentially expressed genes in rice heat-tolerant line and heat-sensitive line under high night temperature stress .
2023-02-20 | GSE225259 | GEO