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Auxins and Cytokinins in Plant Biology

Overview of attention for book
Cover of 'Auxins and Cytokinins in Plant Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Methodological Advances in Auxin and Cytokinin Biology
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    Chapter 2 Analytical Determination of Auxins and Cytokinins
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    Chapter 3 Manipulation of Auxin and Cytokinin Balance During the Plasmodiophora brassicae–Arabidopsis thaliana Interaction
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    Chapter 4 Microbial Manipulation of Auxins and Cytokinins in Plants
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    Chapter 5 A Standardized Method to Assess Infection Rates of Root-Knot and Cyst Nematodes in Arabidopsis thaliana Mutants with Alterations in Root Development Related to Auxin and Cytokinin Signaling
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    Chapter 6 Reconstruction of an Immune Dynamic Model to Simulate the Contrasting Role of Auxin and Cytokinin in Plant Immunity
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    Chapter 7 Interplay Between Auxin and Cytokinin and Its Impact on Mitogen Activated Protein Kinase (MAPK)
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    Chapter 8 Quantification of Cytokinin Levels and Responses in Abiotic Stresses
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    Chapter 9 Assessment of Cytokinin-Induced Immunity Through Quantification of Hyaloperonospora arabidopsidis Infection in Arabidopsis thaliana
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    Chapter 10 Real-Time Genetic Manipulations of the Cytokinin Pathway: A Tool for Laboratory and Field Studies
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    Chapter 11 Modulating the Levels of Plant Hormone Cytokinins at the Host-Pathogen Interface
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    Chapter 12 Analyzing Cytokinin Responses During Plant-Nematode Interactions
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    Chapter 13 Examining H2O2 Production in Arabidopsis Leaves Upon Challenge by Cytokinin
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    Chapter 14 A Systems Biology Methodology Combining Transcriptome and Interactome Datasets to Assess the Implications of Cytokinin Signaling for Plant Immune Networks
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    Chapter 15 Monitoring of Crosstalk Between Jasmonate and Auxin in the Framework of Plant Stress Responses of Roots
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    Chapter 16 High-Throughput Protoplast Trans-Activation (PTA) Screening to Define Transcription Factors in Auxin-Mediated Gene Regulation
Attention for Chapter 6: Reconstruction of an Immune Dynamic Model to Simulate the Contrasting Role of Auxin and Cytokinin in Plant Immunity
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Chapter title
Reconstruction of an Immune Dynamic Model to Simulate the Contrasting Role of Auxin and Cytokinin in Plant Immunity
Chapter number 6
Book title
Auxins and Cytokinins in Plant Biology
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6831-2_6
Pubmed ID
28265989
Book ISBNs
978-1-4939-6829-9, 978-1-4939-6831-2
Authors

Martin Kaltdorf, Thomas Dandekar, Muhammad Naseem

Editors

Thomas Dandekar, Muhammad Naseem

Abstract

In order to increase our understanding of biological dependencies in plant immune signaling pathways, the known interactions involved in plant immune networks are modeled. This allows computational analysis to predict the functions of growth related hormones in plant-pathogen interaction. The SQUAD (Standardized Qualitative Dynamical Systems) algorithm first determines stable system states in the network and then use them to compute continuous dynamical system states. Our reconstructed Boolean model encompassing hormone immune networks of Arabidopsis thaliana (Arabidopsis) and pathogenicity factors injected by model pathogen Pseudomonas syringae pv. tomato DC3000 (Pst DC3000) can be exploited to determine the impact of growth hormones in plant immunity. We describe a detailed working protocol how to use the modified SQUAD-package by exemplifying the contrasting effects of auxin and cytokinins in shaping plant-pathogen interaction.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 83%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2018.
All research outputs
#20,410,007
of 22,959,818 outputs
Outputs from Methods in molecular biology
#9,919
of 13,136 outputs
Outputs of similar age
#268,339
of 307,998 outputs
Outputs of similar age from Methods in molecular biology
#221
of 279 outputs
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So far Altmetric has tracked 13,136 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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