Cytolines as models to study the impact of different cytoplasms on gene expression under heat stress conditions
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ABSTRACT:
ORGANISM(S): Zea mays
PROVIDER: GSE171670 | GEO | 2021/04/09
REPOSITORIES: GEO
Similar Datasets
Project description:High temperature is increasingly becoming one of the prominent environmental factors affecting the growth and development of maize (Zea mays L.). Therefore, it is critical to identify key genes and pathways related to heat stress (HS) tolerance in maize. Here, we identified a heat-resistant (Z58D) and heat-sensitive (AF171) maize inbred lines at seedling stage. Transcriptomic analysis identified 3,006 differentially expressed genes (DEGs) in AF171 and 4,273 DEGs in Z58D under HS treatments, respectively. Subsequently, GO enrichment analysis showed that shared upregulated genes in AF171 and Z58D involved in response to HS, protein folding, abiotic and temperature stimulus pathway. Moreover, the comparison between the two inbred lines under HS showed that response to heat and response to temperature stimulus significantly overrepresented for the 1,234 upregulated genes. Furthermore, commonly upregulated genes in Z58D and AF171 had higher expression level in Z58D than AF171. In addition, maize inbred CIMBL55 had been verified to be more tolerant than B73 and commonly upregulated genes had higher expression level in CIMBL55 than B73 under HS. The consistent results indicated that heat-resistant inbred lines may coordinate the remarkable expression of genes in order to recover from HS. Additionally, 35 DEGs were conserved among 5 inbred lines by a comparative transcriptomic analysis. Most of them were more pronounced in Z58D than AF171 at expression level. Those candidate genes may confer thermotolerance in maize.
2024-03-01 | GSE254852 | GEO
Project description:Comparison of the binding of GOLDEN2-LIKE (GLK) transcription factors in tomato, tobacco, Arabidopsis, maize and rice, show that genome cis-variation caused wide-spread TF binding divergence, and most of the TF binding sites are genetically redundant.
2022-12-08 | GSE220115 | GEO
Project description:We aim to examine dynamic defense transcript changes in maize stems following elicitation with heat-killed Fusarium hyphae.
2020-07-08 | GSE138961 | GEO
Project description:Osteoarthritis (OA) of spine (facet joints; FJ) is one of the major causes of severe low back pain and disability worldwide. The degeneration of facet cartilage is a hallmark of FJ OA. However, endogenous mechanisms that initiate degeneration of facet cartilage are unknown and there are no disease-modifying therapies to stop FJ OA. In this study we performed microRNA array analysis to identify differentially expressed microRNAs in facet cartilage from patients with FJ OA compared to facet cartilage from patients with lumbar disc herniation (LDH).
2016-03-15 | GSE79258 | GEO
Project description:Saha2011- Genome-scale metabolic network of
Zea mays (iRS1563)
This model is described in the article:
Zea mays iRS1563: a
comprehensive genome-scale metabolic reconstruction of maize
metabolism.
Saha R, Suthers PF, Maranas
CD.
PLoS ONE 2011; 6(7): e21784
Abstract:
The scope and breadth of genome-scale metabolic
reconstructions have continued to expand over the last decade.
Herein, we introduce a genome-scale model for a plant with
direct applications to food and bioenergy production (i.e.,
maize). Maize annotation is still underway, which introduces
significant challenges in the association of metabolic
functions to genes. The developed model is designed to meet
rigorous standards on gene-protein-reaction (GPR) associations,
elementally and charged balanced reactions and a biomass
reaction abstracting the relative contribution of all biomass
constituents. The metabolic network contains 1,563 genes and
1,825 metabolites involved in 1,985 reactions from primary and
secondary maize metabolism. For approximately 42% of the
reactions direct literature evidence for the participation of
the reaction in maize was found. As many as 445 reactions and
369 metabolites are unique to the maize model compared to the
AraGEM model for A. thaliana. 674 metabolites and 893 reactions
are present in Zea mays iRS1563 that are not accounted for in
maize C4GEM. All reactions are elementally and charged balanced
and localized into six different compartments (i.e., cytoplasm,
mitochondrion, plastid, peroxisome, vacuole and extracellular).
GPR associations are also established based on the functional
annotation information and homology prediction accounting for
monofunctional, multifunctional and multimeric proteins,
isozymes and protein complexes. We describe results from
performing flux balance analysis under different physiological
conditions, (i.e., photosynthesis, photorespiration and
respiration) of a C4 plant and also explore model predictions
against experimental observations for two naturally occurring
mutants (i.e., bm1 and bm3). The developed model corresponds to
the largest and more complete to-date effort at cataloguing
metabolism for a plant species.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180064.
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 | MODEL1507180064 | BioModels
Project description:Saha2011 - Genome-scale metabolic network of
Arabidopsis thaliana (iRS1597)
This model is described in the article:
Zea mays iRS1563: a
comprehensive genome-scale metabolic reconstruction of maize
metabolism.
Saha R, Suthers PF, Maranas
CD.
PLoS ONE 2011; 6(7): e21784
Abstract:
The scope and breadth of genome-scale metabolic
reconstructions have continued to expand over the last decade.
Herein, we introduce a genome-scale model for a plant with
direct applications to food and bioenergy production (i.e.,
maize). Maize annotation is still underway, which introduces
significant challenges in the association of metabolic
functions to genes. The developed model is designed to meet
rigorous standards on gene-protein-reaction (GPR) associations,
elementally and charged balanced reactions and a biomass
reaction abstracting the relative contribution of all biomass
constituents. The metabolic network contains 1,563 genes and
1,825 metabolites involved in 1,985 reactions from primary and
secondary maize metabolism. For approximately 42% of the
reactions direct literature evidence for the participation of
the reaction in maize was found. As many as 445 reactions and
369 metabolites are unique to the maize model compared to the
AraGEM model for A. thaliana. 674 metabolites and 893 reactions
are present in Zea mays iRS1563 that are not accounted for in
maize C4GEM. All reactions are elementally and charged balanced
and localized into six different compartments (i.e., cytoplasm,
mitochondrion, plastid, peroxisome, vacuole and extracellular).
GPR associations are also established based on the functional
annotation information and homology prediction accounting for
monofunctional, multifunctional and multimeric proteins,
isozymes and protein complexes. We describe results from
performing flux balance analysis under different physiological
conditions, (i.e., photosynthesis, photorespiration and
respiration) of a C4 plant and also explore model predictions
against experimental observations for two naturally occurring
mutants (i.e., bm1 and bm3). The developed model corresponds to
the largest and more complete to-date effort at cataloguing
metabolism for a plant species.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180011.
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 | MODEL1507180011 | BioModels
Project description:Maize is a staple food, feed, and industrial crop. Heat stress (HS) is one of the major stresses affecting maize production and is usually accompanied by other stresses, such as drought. Our previous study identified a heterotrimer complex, ZmNF-YA1-YB16-YC17, in maize. ZmNF-YA1 and ZmNF-YB16 were positive regulators of the drought stress response and were involved in maize root development. In this study, we investigated whether ZmNF-YA1 confers HS tolerance in maize. The ZmNF-YA1 mutant and overexpression lines were used to test the role of ZmNF-YA1 in maize thermotolerance. The ZmNF-YA1 mutant was more temperature-sensitive than the WT, while the ZmNF-YA1 overexpression lines showed a thermotolerant phenotype. Higher malondialdehyde content and reactive oxygen species accumulation were observed in the mutant, followed by WT and overexpression lines after HS treatment, while an opposite trend was observed for chlorophyll content. RNA-seq was used to analyze transcriptome changes in W22 and nf-ya1 plants in response to HS at great depths. Based on their expression profiles, the HS response-related differentially expressed genes in nf-ya1 and W22 were grouped into seven clusters via k-means clustering. Gene Ontology (GO) enrichment analysis of Clade 1, in which ZmNF-YA1 and HS induced, GO terms for protein refolding and protein stabilization, and terms for various stress responses were considerably enriched. Thus, the contribution of ZmNF-YA1 to protein stabilization, refolding, and regulation of ABA, ROS, and heat/temperature signaling may be the major reason why ZmNF-YA1 overexpression enhanced heat tolerance, and the mutant showed a heat-sensitive phenotype.
2024-06-02 | GSE268429 | GEO
Project description:Transcriptional landscape of facet joint osteoarthritis insights into facet cartilage degeneration
| PRJNA474389 | ENA
Project description:Using comparative genomics, we discovered that a previously uncharacterized gene (1700011H14RIK/C14ORF105/CCDC198) hereby named FAME (Factor Associated with Metabolism and Energy) shows an unusually high rate of evolutionary divergence in birds and mammals. By comparing SNVs, we identified gene-flow of FAME from Neandertals into modern humans. FAME knockout animals demonstrated increased body weight and decreased energy expenditure, corresponding to GWAS linking FAME with higher BMI, diabetes-related pathologies, and macular degeneration in humans. The analysis of gene expression and subcellular localization revealed that FAME is a membrane-bound protein enriched in kidneys. Although a gene knockout resulted in structurally normal kidneys, we detected higher Albumin in urine and lowered ferritin in the blood. The experiment confirmed interactions between FAME and ferritin and showed co-localization in vesicular and plasma membranes. Overall, our results show that FAME plays a role in tuning metabolite excretion and energy expenditure, partly explaining why it evolves at a high rate in birds and mammals. Here, we provide data related to identification of FAME interactome using the co-immunoprecipitation method.
2023-07-20 | PXD039259 | Pride
Project description:Modification of cis regulatory elements to produce differences in gene expression level, localization, and timing is an important mechanism by which organisms evolve divergent adaptations. To examine gene regulatory change during the domestication of maize from its wild progenitor, teosinte, we assessed allele-specific expression in a collection of maize and teosinte inbreds and their F1 hybrids using three tissues from different developmental stages. Our use of F1 hybrids represents the first study in a domesticated crop and wild progenitor that dissects cis and trans regulatory effects to examine characteristics of genes under various cis and trans regulatory regimes. We find evidence for consistent cis regulatory divergence that differentiates maize from teosinte in approximately 4% of genes. These genes are significantly correlated with genes under selection during domestication and crop improvement, suggesting an important role for cis regulatory elements in maize evolution.
2014-11-06 | GSE61810 | GEO