Project description:Transcriptional profiling of Oryza sativa japonica Nipponbare roots after 14 days post infection with Xanthomonas oryzae pv. oryzae strain PXO99 , the goal is to understand the transcriptomic response of rice roots to colonization by bacterial pathogen
Project description:Purpose:To uncover the related mechanisms underlie virulence attenuation of Brucella canis MucR mutant strain. Methods:Three Brucella canis RM6/66 strains and three Brucella canis ΔmucR strains were grown in TSB at 37℃ until the log phase was reached, total RNA was isolated using the TRIzol according to the manufacturer’s instructions.The sequencing library of each RNA sample was prepared by using NEB Next Ultra Directional RNA Library Prep Kit for Illumina as recommended by the manufacturer. An Illumina platform was used to perform the transcriptome sequencing. Results: The results revealed that expressions of 694 genes were significantly different between RM6/66 and ΔmucR. Data analysis showed that in the COG term, the different expressed genes involved in translation, ribosomal structure and biogenesis, signal transduction mechanisms, energy production and conversion, intracellular trafficking, secretion, and vesicular transport, and extracellular structures were significantly affected. Pathway enrichment analysis indicated that the genes involved in ribosome, oxidative phosphorylation, aminoacyl-tRNA biosynthesis and protein export were significantly enriched.
Project description:To explore the role of Brucella BI-1 in Brucella suis S2, we constructed the Brucella BI-1 deletion mutant strain and its complementary strain. We then determined the effect of Brucella BI-1 deletion on the physiological characteristics of Brucella suis S2 and revealed them via integrated transcriptomic and proteomic analyses. Brucella BI-1 deletion altered the membrane properties of Brucella suis S2 and decreased its resistance to acidic pH, H2O2, polymyxin B, and lincomycin. Additionally, deleting Brucella BI-1 led to defective growth, cell division, and viability in Brucella suis S2. In conclusion, our results revealed that Brucella BI-1 is a bacterial cytoprotective protein involved in membrane homeostasis, cell division, and stress resistance in Brucella suis S2.
Project description:Transcription profiling of the DSF regulon in Xanthomonas oryzae pv. oryzae (Xoo) using wild type and the rpfF mutant. Cell-cell signaling mediated by the quorum sensing molecule known as Diffusible Signaling factor (DSF) is required for virulence of Xanthomonas group of plant pathogens. DSF in different Xanthomonas and the closely related plant pathogen Xylella fastidiosa regulates diverse traits in a strain specific manner. The transcriptional profiling performed in this study is to elucidate the traits regulated by DSF from the Indian isolate of Xanthomonas oryzae pv. oryzae, which exhibits traits very different from other Xanthomonas group of plant pathogen. In this study, transcription analysis was done between a wild type Xanthomonas oryzae pv. oryzae strain and an isogenic strain that has a mutation in the DSF biosynthetic gene rpfF.
Project description:MucR is one of the few transcriptional regulatory proteins that has been linked to Brucella pathogenesis. We used custom-made Affymetrix B. abortus strain 2308 derived GeneChips to copare the gene expression properties of wild type and isogenic mucR mutant cells.
Project description:Investigation of whole genome gene expression level changes in a Brucella melitensis delta prlr mutant compared to the wild type strain. The mutants analyzed in this study are further described in A. Mirabella, R-M Yanez, R.M. Delrue, S. Uzureau, M.S. Zygmunt, A. Cloeckaert, X. De Bolle, J.J. Letesson (2012). The two component system PrlS/PrlR of Brucella melitensis is required for persistence in mice and appears to respond to ionic strength. Microbiology
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
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and identified by:
MODEL1507180056.
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