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Virus-Induced Gene Silencing

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Cover of 'Virus-Induced Gene Silencing'

Table of Contents

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    Book Overview
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    Chapter 1 Virus-Induced Gene Silencing (VIGS) in Plants: An Overview of Target Species and the Virus-Derived Vector Systems
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    Chapter 2 Rationale for Developing New Virus Vectors to Analyze Gene Function in Grasses Through Virus-Induced Gene Silencing
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    Chapter 3 Virus-Induced Gene Silencing for Rice Using Agroinoculation
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    Chapter 4 Utilizing Virus-Induced Gene Silencing for the Functional Characterization of Maize Genes During Infection with the Fungal Pathogen Ustilago maydis
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    Chapter 5 Analysis of Developmental Control Genes Using Virus-Induced Gene Silencing
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    Chapter 6 Virus-Induced Gene Silencing in the Rapid Cycling Columbine Aquilegia coerulea “Origami”
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    Chapter 7 Virus-Induced Gene Silencing of the Alkaloid-Producing Basal Eudicot Model Plant Eschscholzia californica (California Poppy)
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    Chapter 8 Virus-Induced Gene Silencing Using Artificial miRNAs in Nicotiana benthamiana
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    Chapter 9 The Use of VIGS Technology to Study Plant–Herbivore Interactions
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    Chapter 10 Virus-Aided Gene Expression and Silencing Using TRV for Functional Analysis of Floral Scent-Related Genes
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    Chapter 11 Virus-Induced Gene Silencing in Soybean and Common Bean
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    Chapter 12 Functional Genomic Analysis of Cotton Genes with Agrobacterium-Mediated Virus-Induced Gene Silencing
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    Chapter 13 Highly Efficient Virus-Induced Gene Silencing in Apple and Soybean by Apple Latent Spherical Virus Vector and Biolistic Inoculation
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    Chapter 14 VIGS: A Tool to Study Fruit Development in Solanum lycopersicum
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    Chapter 15 A Protocol for VIGS in Arabidopsis Thaliana Using a One-Step TYMV-Derived Vector
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    Chapter 16 Virus-Induced Gene Silencing in Strawberry Fruit
Attention for Chapter 8: Virus-Induced Gene Silencing Using Artificial miRNAs in Nicotiana benthamiana
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Chapter title
Virus-Induced Gene Silencing Using Artificial miRNAs in Nicotiana benthamiana
Chapter number 8
Book title
Virus-Induced Gene Silencing
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-278-0_8
Pubmed ID
Book ISBNs
978-1-62703-277-3, 978-1-62703-278-0
Authors

Yang Tang, Yizhen Lai, Yule Liu

Abstract

Virus-induced gene silencing using artificial microRNAs (MIR VIGS) is a newly developed technique for plant reverse genetic studies. Traditional virus-induced gene silencing (VIGS) assays introduce a large gene fragment, which is expressed and then converted into small RNAs by the endogenous siRNA-based gene silencing machinery of the plant host. By contrast, MIR VIGS uses well-designed miRNAs to induce RNA-mediated silencing of the target gene. Using a single artificial miRNA can provide greater specificity by reducing off-target effects. Here, we describe a detailed protocol for MIR VIGS in Nicotiana benthamiana using a modified Cabbage leaf curl virus (CaLCuV)-based vector.

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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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Bachelor 5 22%
Other 2 9%
Researcher 2 9%
Professor > Associate Professor 2 9%
Other 5 22%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 65%
Biochemistry, Genetics and Molecular Biology 4 17%
Unspecified 1 4%
Unknown 3 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 20 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Methods in molecular biology
#7,852
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Outputs of similar age
#218,044
of 280,752 outputs
Outputs of similar age from Methods in molecular biology
#220
of 341 outputs
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So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.