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Plant Pathogenic Fungi and Oomycetes

Overview of attention for book
Cover of 'Plant Pathogenic Fungi and Oomycetes'

Table of Contents

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    Book Overview
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    Chapter 1 Quantifying Re-association of a Facultative Endohyphal Bacterium with a Filamentous Fungus
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    Chapter 2 Characterizing Mycoviruses
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    Chapter 3 Analysis of Secondary Metabolites from Plant Endophytic Fungi
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    Chapter 4 Protocols for Investigating the Leaf Mycobiome Using High-Throughput DNA Sequencing
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    Chapter 5 Characterizing Small RNAs in Filamentous Fungi Using the Rice Blast Fungus, Magnaporthe oryzae , as an Example
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    Chapter 6 Plant Small RNAs Responsive to Fungal Pathogen Infection
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    Chapter 7 Sequential Phosphopeptide Enrichment for Phosphoproteome Analysis of Filamentous Fungi: A Test Case Using Magnaporthe oryzae
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    Chapter 8 Assays for MAP Kinase Activation in Magnaporthe oryzae and Other Plant Pathogenic Fungi
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    Chapter 9 Visualizing the Movement of Magnaporthe oryzae Effector Proteins in Rice Cells During Infection
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    Chapter 10 Illuminating Phytophthora Biology with Fluorescent Protein Tags
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    Chapter 11 Methods for Transient Gene Expression in Wild Relatives of Potato
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    Chapter 12 Host-Induced Gene Silencing (HIGS) for Elucidating Puccinia Gene Function in Wheat
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    Chapter 13 From Short Reads to Chromosome-Scale Genome Assemblies
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    Chapter 14 BLASTmap: A Shiny-Based Application to Visualize BLAST Results as Interactive Heat Maps and a Tool to Design Gene-Specific Baits for Bespoke Target Enrichment Sequencing
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    Chapter 15 A Computational Protocol to Analyze Metatranscriptomic Data Capturing Fungal–Host Interactions
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    Chapter 16 Application of the Cre/lox System to Construct Auxotrophic Markers for Quantitative Genetic Analyses in Fusarium graminearum
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    Chapter 17 Protocol of Phytophthora capsici Transformation Using the CRISPR-Cas9 System
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    Chapter 18 Generating Gene Silenced Mutants in Phytophthora sojae
Attention for Chapter 6: Plant Small RNAs Responsive to Fungal Pathogen Infection
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Citations

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6 Dimensions

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11 Mendeley
Summary X Dimensions citations
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Chapter title
Plant Small RNAs Responsive to Fungal Pathogen Infection
Chapter number 6
Book title
Plant Pathogenic Fungi and Oomycetes
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8724-5_6
Pubmed ID
30182229
Book ISBNs
978-1-4939-8723-8, 978-1-4939-8724-5
Authors

Yun Jin, Hui-Shan Guo, Jin, Yun, Guo, Hui-Shan

Abstract

Accumulating evidence indicates that small noncoding RNAs (sRNAs) can be transferred across species for interkingdom communication. In addition to the artificial transgene-derived small interfering RNAs (siRNAs), endogenous microRNAs (miRNAs) can also influence interacting organisms to execute a regulatory function. For instance, we have recently found that, in response to infection with Verticillium dahliae (V. dahliae), cotton plants increase accumulation of miR166 and miR159, which can be exported to the fungal hyphae for specific silencing of virulence genes. These findings suggest a great potential for applying interkingdom mobile miRNAs for crop protection against fungal pathogens. The methods described here provide an approach to identify plant miRNAs and their potential targets in invading fungal pathogens, which will help in revealing the underlying mechanisms of these crosstalk phenomena.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Ph. D. Student 2 18%
Student > Master 2 18%
Professor 1 9%
Student > Bachelor 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 55%
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 1 9%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 May 2019.
All research outputs
#12,791,293
of 23,102,082 outputs
Outputs from Methods in molecular biology
#3,168
of 13,208 outputs
Outputs of similar age
#153,600
of 335,873 outputs
Outputs of similar age from Methods in molecular biology
#46
of 247 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% of its peers.
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 335,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.

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