Rhizopus oryzae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA475137 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR11142220_1.fastq.gz | Fastqsanger.gz | |||
| SRR11142220_2.fastq.gz | Fastqsanger.gz | |||
| SRR11142221_1.fastq.gz | Fastqsanger.gz | |||
| SRR11142221_2.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Rhizopus oryzae genome sequencing and assembly
| PRJNA285014 | ENA
Project description:Soft rot or Rhizopus rot, caused by the fungal pathogen Rhizopus stolonifer, is an aggressive postharvest disease that affects many fruit and vegetables. We proposed that R. stolonifer displays a necrotrophic behavior when infecting fruit, actively killing the host tissues to complete its life cycle. We tested this hypothesis by identifying R. stolonifer infection strategies when interacting with four fruit hosts (tomato, grape, strawberry, and plum). First, we generated a complete and highly contiguous genome assembly for R. stolonifer using PacBio sequencing, of 45.02 Mb in size, an N50 of 2.87Mb, and 12,644 predicted loci with protein-coding genes. We then performed a transcriptomic analysis to identify genes preferentially used by R. stolonifer when growing in fruit versus culture media, and then classified these host-related genes into clusters according to their expression patterns across four time points. Based on the expression data, we determined that R. stolonifer deploys infection mechanisms characteristic of necrotrophs, including a suite of oxidases, proteases, and cell wall degrading enzymes, when it is actively breaking down tissues of all four fruit hosts. Better understanding R. stolonifer – fruit host interactions can support better diagnostic tools and efficient management strategies in postharvest.
2024-11-01 | GSE232735 | GEO
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:Pitkanen2014 - Metabolic reconstruction of Rhizopus oryzae using CoReCo
This model was reconstructed with the CoReCo method (Comparative ReConstruction of genome-scale metabolic networks) from protein sequence and phylogeny data.
This model is described in the article:
Comparative Genome-Scale Reconstruction of Gapless Metabolic Networks for Present and Ancestral Species
Esa Pitkänen, Paula Jouhten, Jian Hou, Muhammad Fahad Syed, Peter Blomberg, Jana Kludas, Merja Oja, Liisa Holm, Merja Penttilä, Juho Rousu, Mikko Arvas
PLoS Comput Biol. 2014 Feb 6;10(2):e1003465
Abstract:
We introduce a novel computational approach, CoReCo, for comparative metabolic reconstruction and provide genome-scale metabolic network models for 49 important fungal species. Leveraging on the exponential growth in sequenced genome availability, our method reconstructs genome-scale gapless metabolic networks simultaneously for a large number of species by integrating sequence data in a probabilistic framework. High reconstruction accuracy is demonstrated by comparisons to the well-curated Saccharomyces cerevisiae consensus model and large-scale knock-out experiments. Our comparative approach is particularly useful in scenarios where the quality of available sequence data is lacking, and when reconstructing evolutionary distant species. Moreover, the reconstructed networks are fully carbon mapped, allowing their use in 13C flux analysis. We demonstrate the functionality and usability of the reconstructed fungal models with computational steady-state biomass production experiment, as these fungi include some of the most important production organisms in industrial biotechnology. In contrast to many existing reconstruction techniques, only minimal manual effort is required before the reconstructed models are usable in flux balance experiments. CoReCo is available at http://esaskar.github.io/CoReCo/.
This model is hosted on BioModels Database
and identified by: MODEL1302010018
.
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.
2014-03-02 | MODEL1302010018 | BioModels
Project description:Rhizopus oryzae NRRL1550 Resequencing
| PRJNA537148 | ENA
Project description:Rhizopus oryzae NRRL 66645 Resequencing genome sequencing
| PRJNA676576 | ENA
Project description:Rhizopus oryzae NRRL 66642 Resequencing genome sequencing
| PRJNA676572 | ENA
Project description:Rhizopus delemar is an invasive fungal pathogen, responsible for the frequently fatal disease mucormycosis. Germination, a crucial mechanism by which spores of Rhizopus delemar infect and cause disease, is a key developmental process that transforms the dormant spore state into a vegetative one. Understanding the molecular mechanisms which underpin this transformation may be key to controlling mucormycosis; however, the regulation of germination remains poorly understood. This study describes the transcriptional changes which take place over the course of germination.
2018-08-09 | GSE114842 | GEO
Project description:Xanthomonas oryzae pv. oryzae Genome sequencing and assembly
| PRJNA836365 | ENA
Project description:Xanthomonas oryzae pv. oryzae Genome sequencing and assembly
| PRJNA1124925 | ENA