Ontology highlight
ABSTRACT:
PROVIDER: PRJNA646491 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12231532_1.fastq.gz | Fastqsanger.gz | |||
| SRR12231532_2.fastq.gz | Fastqsanger.gz | |||
| SRR12231533_1.fastq.gz | Fastqsanger.gz | |||
| SRR12231533_2.fastq.gz | Fastqsanger.gz | |||
| SRR12231534_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
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Project description:Paddy rice with husk can be availbale for chicken dietary resource instead of yellow corn. Ingestion of paddy rice potentially affects on gastrointestinal physiology and function including digestion/absorption of nutrients and gut barrier function such as mucosal immunity, but the details of changes is unknown. To obtain insight into the physiological modifications in the small intestine of chickens fed paddy rice, we conducted a comprehensive analysis of gene expression in small intestine by DNA microarray. In the paddy rice group, a total of 120 genes were elevated >1.5-fold in the paddy rice group, whereas a total of 159 genes were diminished < 1.5-fold. Remarkably, the gene expression levels of IGHA (immunoglobulin heavy chain α), IGJ (immunoglobulin J chain), and IGLL1 (immunoglobulin light chain λ chain region), which constitute immunoglobulin A, decreased 3 to 10 times in the paddy rice group.
2024-09-22 | GSE277733 | GEO
Project description:Straw return is crucial for the sustainable development of rice planting. To investigate the response of rice leaves to rice straw return, we analyzed the physiological index of rice leaves and measured differentially expressed protein (DEPs) and differentially expressed metabolites (DEMs) levels in rice leaves by the use of proteomics and metabolomics approaches. The results showed that, compared with no rice straw return, rice straw return significantly decreased the dry weight of rice plants and nonstructural carbohydrate contents and destroyed the chloroplast ultrastructure. In rice leaves under rice straw return, 329 DEPs were upregulated, 303 DEPs were downregulated, 44 DEMs were upregulated, and 71 DEMs were downregulated. These DEPs and DEMs were mainly involved in various molecular processes, including photosynthesis, carbon fixation in photosynthetic organisms, glycolysis, and the citric acid cycle. Rice straw return promoted the accumulation of osmotic adjustment substances, such as organic acids, amino acids, and other substances, and reduced the material supply and energy production of carbon metabolism, thus inhibiting the growth of rice.
2022-09-12 | PXD035835 | Pride
Project description:Ahmad2017 - Genome-scale metabolic model
(iGT736) of Geobacillus thermoglucosidasius (C56-YS93)
This model is described in the article:
A Genome Scale Model of
Geobacillus thermoglucosidasius (C56-YS93) reveals its
biotechnological potential on rice straw hydrolysate
Ahmad Ahmada, Hassan B. Hartmanb, S.
Krishnakumara, David A. Fellb, Mark G. Poolmanb, Shireesh
Srivastavaa
Journal of Biotechnology
Abstract:
Rice straw is a major crop residue which is burnt in many
countries, creating significant air pollution. Thus,
alternative routes for disposal of rice straw are needed.
Biotechnological treatment of rice straw hydrolysate has
potential to convert this agriculture waste into valuable
biofuel(s) and platform chemicals. Geobacillus
thermoglucosidasius is a thermophile with properties specially
suited for use as a biocatalyst in lignocellulosic
bioprocesses, such as high optimal temperature and tolerance to
high levels of ethanol. However, the capabilities of
Geobacillus thermoglucosidasius to utilize sugars in rice straw
hydrolysate for making bioethanol and other platform chemicals
have not been fully explored. In this work, we have created a
genome scale metabolic model (denoted iGT736) of the organism
containing 736 gene products, 1159 reactions and 1163
metabolites. The model was validated both by purely theoretical
approaches and by comparing the behaviour of the model to
previously published experimental results. The model was then
used to determine the yields of a variety of platform chemicals
from glucose and xylose — two primary sugars in rice
straw hydrolysate. A comparison with results from a model of
Escherichia coli shows that Geobacillus thermoglucosidasius is
capable of producing a wider range of products, and that for
the products also produced by Escherichia coli, the yields are
comparable. We also discuss strategies to utilise arabinose, a
minor component of rice straw hydrolysate, and propose
additional reactions to lead to the synthesis of xylitol, not
currently produced by Geobacillus thermoglucosidasius. Our
results provide additional motivation for the current
exploration of the industrial potential of Geobacillus
thermoglucosidasius and we make our model publicly available to
aid the development of metabolic engineering strategies for
this organism.
This model is hosted on
BioModels Database
and identified by:
MODEL1703060000.
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.
2017-04-12 | MODEL1703060000 | BioModels
Project description:Arsenic (As) is a carcinogenic metalloid that is a contaminant widely polluting rice paddy soils around the world. In order to gain better insight into molecular mechanism of rice exposed to As(III) stress, we used next-generation sequencing technology to acquire global transcriptome alteration and miRNA regulation in rice upon As(III) treatments. Our results suggest time course and As(III)-dosing treatments were devised. Cluster analyses show that root and shoot samples were differentially grouped. For roots, sub-clusters were more distinct in the dosage course whereas for shoots they were most recognizable for the time course treatments. Other than the significantly regulated gene expression in the heavy metal-responsive sulfur and glutathione metabolism pathways, the expression of genes related to heavy metal transportation, jasmonate biosynthesis and signaling pathways, lipid metabolism and gene transcription were sharply regulated, indicating that rice allocates energy and resources from growth to stress response under As(III) stress. In addition to the detection of previously identified stress-related miRNAs, we further discovered 36 new As(III)-responsive miRNAs. These results expand our understanding of As(III) stress mechanism to the As(III)-responsive mRNA and miRNA transcriptomes, which provide a foundation for subsequent functional research. 10 mRNA samples examined 10 miRNA samples examined
2013-01-09 | E-GEOD-36696 | biostudies-arrayexpress
Project description:Various saprotrophic microorganisms, especially filamentous fungi, can efficiently degrade lignocellulose that is one of the most abundant natural material on earth. It consists of complex carbohydrates and aromatic polymers found in plant cell wall and thus in plant debris. Aspergillus fumigatus Z5 was isolated from compost heaps and showed highly efficient plant biomass-degradation capability.Genome analysis revealed an impressive array of genes encoding cellulases, hemicellulases, and pectinases involved in lignocellulosic biomass degradation. We sequenced the transcriptomes of Aspergillus fumigatus Z5 induced by sucrose, xylan, cellulose and rice straw, respectively. There were 444, 1711 and 1386 significantly differently (q-value ⤠0.0001 and |log2 of the ratio of the RPM values| ⥠2) expressed genes in xylan, cellulose and rice straw,respectively, relative to sucrose control. After incubation at 45 â, 145rpm for 20 hours with sucrose as the carbon source, mycelia were induced for 16 hours using xylan, cellulose and rice straw, respectively. Transcriptome induced by sucrose was used as the control when comparing the differences between other three transcriptomes (induced by xylan, cellulose and rice straw, respectively).
2015-11-22 | E-GEOD-55086 | biostudies-arrayexpress