scholarly journals Positive and Negative Regulation of Salicylic Acid-Dependent Cell Death and Pathogen Resistance in Arabidopsis lsd6 and ssi1 Mutants

2000 ◽  
Vol 13 (8) ◽  
pp. 877-881 ◽  
Author(s):  
Jean T. Greenberg
Keyword(s):  
Cell Death ◽  
Salicylic Acid ◽  
Genetic Basis ◽  
Higher Plants ◽  
Pathogen Resistance ◽  
Mechanisms Of Action ◽  
Negative Regulation ◽  
Positive Regulation ◽  
Constitutive Activation ◽  
Dependent Cell

Salicylic acid (SA) is a key defense molecule in higher plants that is required for resistance to diverse pathogens. A number of mutants of Arabidopsis with elevated resistance to pathogens and constitutive activation of defenserelated genes and cell death have been shown to require SA for all of their phenotypes. These mutants potentially identify interesting regulatory genes that control diverse SA responses. When dominant mutations confer SA-dependent phenotypes, it is important to know the genetic basis of dominance in order to draw conclusions on the possible mechanisms of action of the genes identified. Here I characterize the basis of the dominant phenotypes conferred by the ssi1 and lsd6 mutations. I show that ssi1 is haploinsufficient, while lsd6 is a gain-of-function mutation. Thus, SA-dependent responses are under both negative and positive regulation.

scholarly journals Uncoupling Salicylic Acid-Dependent Cell Death and Defense-Related Responses From Disease Resistance in the Arabidopsis Mutant acd5

Genetics ◽  
2000 ◽  
Vol 156 (1) ◽  
pp. 341-350
Author(s):  
Jean T Greenberg ◽  
F Paul Silverman ◽  
Hua Liang
Keyword(s):  
Cell Death ◽  
Salicylic Acid ◽  
Disease Resistance ◽  
Pseudomonas Syringae ◽  
Higher Plants ◽  
Ethylene Signaling ◽  
Symptom Development ◽  
Wild Type ◽  
Dependent Cell ◽  
Arabidopsis Mutant

Abstract Salicylic acid (SA) is required for resistance to many diseases in higher plants. SA-dependent cell death and defense-related responses have been correlated with disease resistance. The accelerated cell death 5 mutant of Arabidopsis provides additional genetic evidence that SA regulates cell death and defense-related responses. However, in acd5, these events are uncoupled from disease resistance. acd5 plants are more susceptible to Pseudomonas syringae early in development and show spontaneous SA accumulation, cell death, and defense-related markers later in development. In acd5 plants, cell death and defense-related responses are SA dependent but they do not confer disease resistance. Double mutants with acd5 and nonexpressor of PR1, in which SA signaling is partially blocked, show greatly attenuated cell death, indicating a role for NPR1 in controlling cell death. The hormone ethylene potentiates the effects of SA and is important for disease symptom development in Arabidopsis. Double mutants of acd5 and ethylene insensitive 2, in which ethylene signaling is blocked, show decreased cell death, supporting a role for ethylene in cell death control. We propose that acd5 plants mimic P. syringae-infected wild-type plants and that both SA and ethylene are normally involved in regulating cell death during some susceptible pathogen infections.

Genome-Wide Identification of differently expressed lncRNAs, mRNAs, and circRNAs in patients with osteoarthritis

2020 ◽  
Vol 15 ◽  
Author(s):  
Yeqing Sun ◽  
Lei Chen ◽  
Yingqi Zhang ◽  
Jincheng Zhang ◽  
Shashi Ranjan Tiwari
Keyword(s):  
Regulatory Networks ◽  
Expression Profiles ◽  
Interleukin 1 ◽  
Interaction Network ◽  
Circular Rna ◽  
Negative Regulation ◽  
Differentially Expressed ◽  
Positive Regulation ◽  
Proteinprotein Interaction ◽  
Differently Expressed Genes

Background: Osteoarthritis (OA), one of the most important causes leading to joint disability, was considered as an untreatable disease. A series of genes were reported to regulate the pathogenesis of OA, including microRNAs, Long non-coding RNAs and Circular RNA. So far, the expression profiles and functions of lncRNAs, mRNAs, and circRNAs in OA are not fully understood. Objective: The present study aimed to identify differently expressed genes in OA. Methods: The present study conducted RNA-seq to identify differently expressed genes in OA. Ontology (GO) analysis was used to analysis the Molecular Function and Biological Process. KEGG pathway analysis was used to perform the differentially expressed lncRNAs in biological pathways. Results: Hierarchical clustering revealed a total of 943 mRNAs, 518 lncRNAs, and 300 circRNAs were dysregulated in OA compared to normal samples. Furthermore, we constructed differentially expressed mRNAs mediated proteinprotein interaction network, differentially expressed lncRNAs mediated trans regulatory networks, and competitive endogenous RNA (ceRNA) to reveal the interaction among these genes in OA. Bioinformatics analysis revealed these dysregulated genes were involved in regulating multiple biological processes, such as wound healing, negative regulation of ossification, sister chromatid cohesion, positive regulation of interleukin-1 alpha production, sodium ion transmembrane transport, positive regulation of cell migration, and negative regulation of inflammatory response. To the best of our knowledge, this study for the first time revealed the expression pattern of mRNAs, lncRNAs and circRNAs in OA. Conclusion: This study provided novel information to validate these differentially expressed RNAs may be as possible biomarkers and targets in OA.

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