Effector-triggered immunity signaling: from gene-for-gene pathways to protein-protein interaction networks.
نویسندگان
چکیده
In its simplicity and testability, Flor's gene-for-gene hypothesis has been a powerful driver in plant immunity research for decades. Once the molecular underpinnings of gene-for-gene resistance had come into sharper focus, there was a reassessment of Flor's hypothesis and a name change to effector-triggered immunity. As implied by the name change and exemplified by pioneering studies, plant immunity is increasingly described in terms of protein rather than genetic interactions. This progress leads to a reinterpretation of old concepts of pathogen recognition and resistance signaling and, of course, opens up new questions. Here, we provide a brief historical overview of resistance gene function and how a new focus on protein interactions can lead to a deeper understanding of the logic of plant innate immunity signaling.
منابع مشابه
Analysis of Gene Expression, Signaling Pathways, and Interaction Networks of Some Effective Genes in Patients with Asthma in Microarray Studies Using R Software
Background and purpose: Asthma is a chronic inflammatory disorder of the airways caused by a combination of complex environmental and genetic interactions. There is an incomplete understanding of this mechanism which affect both severity of the disease and how it responds to treatment. Different gene expressions are reported in patients with asthma and healthy controls. Materials and methods:...
متن کاملIdentification and prioritization genes related to Hypercholesterolemia QTLs using gene ontology and protein interaction networks
Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitativ...
متن کاملComparison of Hubs in Effective Normal and Tumor Protein Interaction Networks
ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. Comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. Methods: We constructed protein interaction networks of cancerous a...
متن کاملStudy of PKA binding sites in cAMP-signaling pathway using structural protein-protein interaction networks
Backgroud: Protein-protein interaction, plays a key role in signal transduction in signaling pathways. Different approaches are used for prediction of these interactions including experimental and computational approaches. In conventional node-edge protein-protein interaction networks, we can only see which proteins interact but ‘structural networks’ show us how these proteins inter...
متن کاملUsing the Protein-protein Interaction Network to Identifying the Biomarkers in Evolution of the Oocyte
Background Oocyte maturity includes nuclear and cytoplasmic maturity, both of which are important for embryo fertilization. The development of oocyte is not limited to the period of follicular growth, and starts from the embryonic period and continues throughout life. In this study, for the purpose of evaluating the effect of the FSH hormone on the expression of genes, GEO access codes for this...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Molecular plant-microbe interactions : MPMI
دوره 25 7 شماره
صفحات -
تاریخ انتشار 2012