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Plant Chemical Genomics

Overview of attention for book
Cover of 'Plant Chemical Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Multi-Parametric Screening in Arabidopsis thaliana Seedlings
  3. Altmetric Badge
    Chapter 2 Novel Micro-Phenotyping Approach to Chemical Genetic Screening for Increased Plant Tolerance to Abiotic Stress
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    Chapter 3 Method for Ultrarapid High-Content Screening for Biologically Active Chemicals Using Plant Pollen
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    Chapter 4 A High-Throughput Chemical Screening Method for Inhibitors and Potentiators of Hypersensitive Cell Death Using Suspension Cell Culture of Arabidopsis thaliana
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    Chapter 5 High-Throughput Screening of Chemical Compound Libraries for Modulators of Salicylic Acid Signaling by In Situ Monitoring of Glucuronidase-Based Reporter Gene Expression
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    Chapter 6 Identification of Chemical Inducers of the Phosphate-Starvation Signaling Pathway in A. thaliana Using Chemical Genetics
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    Chapter 7 Phenotype-Based Screening of Small Molecules to Modify Plant Cell Walls Using BY-2 Cells
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    Chapter 8 Small-Molecule Screening to Increase Agrobacterium -Mediated Transformation Efficiency in Legumes
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    Chapter 9 High-Throughput In Vitro Screening for Inhibitors of Cereal α-Glucosidase
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    Chapter 10 Chemical Screening for Strigolactone Receptor Antagonists Using Arabidopsis thaliana
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    Chapter 11 Chemical Control of ABA Receptors to Enable Plant Protection Against Water Stress
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    Chapter 12 Modes of Action Study of Seed Germination Inhibitor Germostatin by Forward Genetics Screening
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    Chapter 13 Enantiodifferential Approach for the Target Protein Detection of the Jasmonate Glucoside That Controls the Leaf Closure of Samanea saman
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    Chapter 14 Using the QCM Biosensor-Based T7 Phage Display Combined with Bioinformatics Analysis for Target Identification of Bioactive Small Molecule
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    Chapter 15 Genomic Identification and Analysis of Specialized Metabolite Biosynthetic Gene Clusters in Plants Using PlantiSMASH
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    Chapter 16 Chemical Genomics Translatability from Unicellular to Multicellular Models
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    Chapter 17 Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
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    Chapter 18 FnCpf1-Mediated Targeted Mutagenesis in Plants
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    Chapter 19 Erratum to: Chemical Screening for Flagella-Associated Phenotypes in Chlamydomonas reinhardtii
Attention for Chapter 2: Novel Micro-Phenotyping Approach to Chemical Genetic Screening for Increased Plant Tolerance to Abiotic Stress
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Chapter title
Novel Micro-Phenotyping Approach to Chemical Genetic Screening for Increased Plant Tolerance to Abiotic Stress
Chapter number 2
Book title
Plant Chemical Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7874-8_2
Pubmed ID
29846915
Book ISBNs
978-1-4939-7873-1, 978-1-4939-7874-8
Authors

Susan Fozard, Brian G. Forde, Fozard, Susan, Forde, Brian G.

Abstract

Studying the effects of small molecules on root system development in the context of a large-scale chemical genetic screen has previously been a technical challenge. The recent development of novel seedling growth devices ("Phytostrips"), used in combination with standard 96-well microtiter plates, has made it possible to perform detailed studies of changes in root morphology and root system architecture following the application of a library of chemical compounds. Phytostrips were originally designed to allow automated robotic capture of images of roots and shoots of the model species Arabidopsis thaliana, but can also be used for manual screens that are more laborious but do not require the investment in expensive robotics.Here we describe a protocol for the use of Phytostrips to perform chemical genetic screens that rely on clearly observable changes in root morphology or root system architecture. As an example, we describe the use of polyethylene glycol to impose an abiotic stress related to reduced water potential and the application of a chemical screen for small molecules that are able to rescue Arabidopsis root development from the disruptive effect of the polyethylene glycol treatment. The protocol we describe provides a template for the application of a multiplicity of other screens for compounds that can antagonize the effects of a range of abiotic stresses on root development.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Student > Master 2 25%
Researcher 1 13%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 63%
Biochemistry, Genetics and Molecular Biology 2 25%
Unknown 1 13%
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 16 March 2019.
All research outputs
#15,532,144
of 23,083,773 outputs
Outputs from Methods in molecular biology
#5,409
of 13,205 outputs
Outputs of similar age
#270,095
of 442,614 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,205 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.

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