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Plant Virology Protocols

Overview of attention for book
Cover of 'Plant Virology Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Detection of Plant Viruses in Mixed Infection by a Macroarray-Assisted Method
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    Chapter 2 Rt-PCR and real-time rt-PCR methods for the detection of potato virus y in potato leaves and tubers.
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    Chapter 3 A New Method to Isolate Total dsRNA
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    Chapter 4 Multiplex RT-PCR Method for the Simultaneous Detection of Nine Grapevine Viruses
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    Chapter 5 Detection Methods for Rice Viruses by a Reverse-Transcription Loop-Mediated Isothermal Amplification (RT-LAMP).
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    Chapter 6 Real-Time PCR Protocols for the Quantification of the Begomovirus Tomato Yellow Leaf Curl Sardinia Virus in Tomato Plants and in Its Insect Vector
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    Chapter 7 Detection and Analysis of Non-retroviral RNA Virus-Like Elements in Plant, Fungal, and Insect Genomes.
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    Chapter 8 Detection of Plant Viruses in Natural Environments by Using RNA-Seq
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    Chapter 9 Cloning and Profiling of Small RNAs from Cucumber Mosaic Virus Satellite RNA
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    Chapter 10 Drawing siRNAs of Viral Origin Out from Plant siRNAs Libraries.
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    Chapter 11 Viral detection by high-throughput sequencing.
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    Chapter 12 Plant Virology Protocols
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    Chapter 13 Detection and characterization of mycoviruses in arbuscular mycorrhizal fungi by deep-sequencing.
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    Chapter 14 SuperSAGE as an Analytical Tool for Host and Viral Gene Expression.
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    Chapter 15 Microarray Analysis of R -Gene-Mediated Resistance to Viruses
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    Chapter 16 Construction of Infectious cDNA Clones Derived from the Potyviruses Clover Yellow Vein Virus and Bean Yellow Mosaic Virus
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    Chapter 17 Virus-Induced Gene Silencing of N Gene in Tobacco by Apple Latent Spherical Virus Vectors
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    Chapter 18 Simplified Methods for the Construction of RNA and DNA Virus Infectious Clones
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    Chapter 19 Efficient double-stranded RNA production methods for utilization in plant virus control.
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    Chapter 20 Detection of plant virus in meristem by immunohistochemistry and in situ hybridization.
Attention for Chapter 13: Detection and characterization of mycoviruses in arbuscular mycorrhizal fungi by deep-sequencing.
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Chapter title
Detection and characterization of mycoviruses in arbuscular mycorrhizal fungi by deep-sequencing.
Chapter number 13
Book title
Plant Virology Protocols
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1743-3_13
Pubmed ID
25287503
Book ISBNs
978-1-4939-1742-6, 978-1-4939-1743-3
Authors

Ezawa T, Ikeda Y, Shimura H, Masuta C, Tatsuhiro Ezawa, Yoji Ikeda, Hanako Shimura, Chikara Masuta, Ezawa, Tatsuhiro, Ikeda, Yoji, Shimura, Hanako, Masuta, Chikara

Abstract

Fungal viruses (mycoviruses) often have a significant impact not only on phenotypic expression of the host fungus but also on higher order biological interactions, e.g., conferring plant stress tolerance via an endophytic host fungus. Arbuscular mycorrhizal (AM) fungi in the phylum Glomeromycota associate with most land plants and supply mineral nutrients to the host plants. So far, little information about mycoviruses has been obtained in the fungi due to their obligate biotrophic nature. Here we provide a technical breakthrough, "two-step strategy" in combination with deep-sequencing, for virological study in AM fungi; dsRNA is first extracted and sequenced using material obtained from highly productive open pot culture, and then the presence of viruses is verified using pure material produced in the in vitro monoxenic culture. This approach enabled us to demonstrate the presence of several viruses for the first time from a glomeromycotan fungus.

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X Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Bachelor 4 24%
Professor 2 12%
Student > Ph. D. Student 2 12%
Unspecified 1 6%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 65%
Biochemistry, Genetics and Molecular Biology 2 12%
Unspecified 1 6%
Earth and Planetary Sciences 1 6%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 1 6%
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 24 June 2015.
All research outputs
#18,380,628
of 22,766,595 outputs
Outputs from Methods in molecular biology
#7,871
of 13,090 outputs
Outputs of similar age
#182,216
of 255,128 outputs
Outputs of similar age from Methods in molecular biology
#67
of 130 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 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 130 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.

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