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Environmental Responses in Plants

Overview of attention for book
Cover of 'Environmental Responses in Plants'

Table of Contents

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    Book Overview
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    Chapter 1 Hydrotropism: Analysis of the Root Response to a Moisture Gradient
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    Chapter 2 Assessing Gravitropic Responses in Arabidopsis
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    Chapter 3 Physiological Analysis of Phototropic Responses in Arabidopsis.
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    Chapter 4 Automatic Chloroplast Movement Analysis.
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    Chapter 5 Microscopic and Biochemical Visualization of Auxins in Plant Tissues.
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    Chapter 6 Immunolocalization of PIN and ABCB Transporters in Plants
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    Chapter 7 Analysis of Circadian Leaf Movements
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    Chapter 8 Sample Preparation of Arabidopsis thaliana Shoot Apices for Expression Studies of Photoperiod-Induced Genes.
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    Chapter 9 A Luciferase-Based Assay to Test Whether Gene Expression Responses to Environmental Inputs Are Temporally Restricted by the Circadian Clock.
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    Chapter 10 Identification of Arabidopsis Transcriptional Regulators by Yeast One-Hybrid Screens Using a Transcription Factor ORFeome
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    Chapter 11 Monitoring Alternative Splicing Changes in Arabidopsis Circadian Clock Genes.
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    Chapter 12 Assessing the Impact of Photosynthetic Sugars on the Arabidopsis Circadian Clock.
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    Chapter 13 Assessing Protein Stability Under Different Light and Circadian Conditions.
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    Chapter 14 Screening for Abiotic Stress Tolerance in Rice: Salt, Cold, and Drought.
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    Chapter 15 Basic Techniques to Assess Seed Germination Responses to Abiotic Stress in Arabidopsis thaliana.
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    Chapter 16 Assessing Tolerance to Heavy-Metal Stress in Arabidopsis thaliana Seedlings.
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    Chapter 17 Assessing Drought Responses Using Thermal Infrared Imaging.
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    Chapter 18 Generating Targeted Gene Knockout Lines in Physcomitrella patens to Study Evolution of Stress-Responsive Mechanisms.
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    Chapter 19 Screening Stress Tolerance Traits in Arabidopsis Cell Cultures.
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    Chapter 20 Using Arabidopsis Protoplasts to Study Cellular Responses to Environmental Stress.
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    Chapter 21 Construction of Artificial miRNAs to Prevent Drought Stress in Solanum tuberosum.
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    Chapter 22 Virus-Induced Gene Silencing for Gene Function Studies in Barley.
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    Chapter 23 Methods for Long-Term Stable Storage of Colletotrichum Species.
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    Chapter 24 Plant Inoculation with the Fungal Leaf Pathogen Colletotrichum higginsianum.
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    Chapter 25 Tracing Plant Defense Responses in Roots upon MAMP/DAMP Treatment. - PubMed - NCBI
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    Chapter 26 Analysis of the lmmunity-Related Oxidative Bursts by a Luminol-Based Assay
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    Chapter 27 Quantitative Analysis of Microbe-Associated Molecular Pattern (MAMP)-Induced Ca2+ Transients in Plants
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    Chapter 28 Rapid Assessment of DNA Methylation Changes in Response to Salicylic Acid by Chop-qPCR
  30. Altmetric Badge
    Chapter 29 Determining Nucleosome Position at Individual Loci After Biotic Stress Using MNase-qPCR
  31. Altmetric Badge
    Chapter 30 Phosphoprotein Enrichment Combined with Phosphopeptide Enrichment to Identify Putative Phosphoproteins During Defense Response in Arabidopsis thaliana
Attention for Chapter 10: Identification of Arabidopsis Transcriptional Regulators by Yeast One-Hybrid Screens Using a Transcription Factor ORFeome
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Chapter title
Identification of Arabidopsis Transcriptional Regulators by Yeast One-Hybrid Screens Using a Transcription Factor ORFeome
Chapter number 10
Book title
Environmental Responses in Plants
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3356-3_10
Pubmed ID
Book ISBNs
978-1-4939-3354-9, 978-1-4939-3356-3
Authors

Breton, Ghislain, Kay, Steve A, Pruneda-Paz, José L, Ghislain Breton, Steve A. Kay, José L. Pruneda-Paz

Editors

Paula Duque

Abstract

Genetic and molecular approaches revealed that the circadian clock network structure is comprised of several interlocked positive and negative transcriptional feedback loops. The network evolved to sense and integrate inputs from environmental cues to adjust daily rhythms in physiological processes. Compiling evidence indicates that part of this regulation happens at the transcriptional level through subtle adjustments in the expression of core clock genes. Thus, to better understand the network and identify the molecular mechanisms of clock input pathways, it is imperative to determine how core clock genes are regulated. For this purpose we developed reagents for an unbiased approach to identify transcription factors (TFs) interacting with the promoters of core clock genes. At the center of this approach lies the yeast one-hybrid (Y1H) assay in which a pool of proteins fused to the GAL4 transcriptional activation domain are tested for their ability to interact with a selected promoter fragment in yeast cells. Taking advantage of the fact that Arabidopsis TF genes are well annotated, we generated a comprehensive TF clone collection (TF ORFeome) and used it to replace the standard cDNA pool strategy traditionally used in Y1H screens. The use of this TF clone collection substantially accelerates the comprehensive discovery of promoter-specific DNA binding activities among all Arabidopsis TFs. Considering that this strategy can be extended to the study of the promoter interactome of any Arabidopsis gene, we developed a low throughput protocol that can be universally implemented to screen the ~2000 TF clone library.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 33%
Researcher 11 31%
Student > Master 4 11%
Student > Postgraduate 2 6%
Professor > Associate Professor 2 6%
Other 1 3%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 61%
Biochemistry, Genetics and Molecular Biology 4 11%
Environmental Science 1 3%
Social Sciences 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 6 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 13 February 2016.
All research outputs
#17,785,991
of 22,846,662 outputs
Outputs from Methods in molecular biology
#7,242
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Outputs of similar age
#267,675
of 393,581 outputs
Outputs of similar age from Methods in molecular biology
#752
of 1,470 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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