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Wheat Rust Diseases

Overview of attention for book
Cover of 'Wheat Rust Diseases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Wheat Rust Surveillance: Field Disease Scoring and Sample Collection for Phenotyping and Molecular Genotyping
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    Chapter 2 Field Pathogenomics: An Advanced Tool for Wheat Rust Surveillance
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    Chapter 3 Race Typing of Puccinia striiformis on Wheat
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    Chapter 4 Assessment of Aggressiveness of Puccinia striiformis on Wheat
  6. Altmetric Badge
    Chapter 5 Extraction of High Molecular Weight DNA from Fungal Rust Spores for Long Read Sequencing
  7. Altmetric Badge
    Chapter 6 Microsatellite Genotyping of the Wheat Yellow Rust Pathogen Puccinia striiformis
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    Chapter 7 Computational Methods for Predicting Effectors in Rust Pathogens
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    Chapter 8 Protein–Protein Interaction Assays with Effector–GFP Fusions in Nicotiana benthamiana
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    Chapter 9 Proteome Profiling by 2D–Liquid Chromatography Method for Wheat–Rust Interaction
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    Chapter 10 Investigating Gene Function in Cereal Rust Fungi by Plant-Mediated Virus-Induced Gene Silencing
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    Chapter 11 Apoplastic Sugar Extraction and Quantification from Wheat Leaves Infected with Biotrophic Fungi
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    Chapter 12 Genetic Analysis of Resistance to Wheat Rusts
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    Chapter 13 Advances in Identification and Mapping of Rust Resistance Genes in Wheat
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    Chapter 14 Chromosome Engineering Techniques for Targeted Introgression of Rust Resistance from Wild Wheat Relatives
  16. Altmetric Badge
    Chapter 15 Applications of Genomic Selection in Breeding Wheat for Rust Resistance
  17. Altmetric Badge
    Chapter 16 Rapid Phenotyping Adult Plant Resistance to Stem Rust in Wheat Grown under Controlled Conditions
  18. Altmetric Badge
    Chapter 17 Generation of Loss-of-Function Mutants for Wheat Rust Disease Resistance Gene Cloning
  19. Altmetric Badge
    Chapter 18 Isolation of Wheat Genomic DNA for Gene Mapping and Cloning
  20. Altmetric Badge
    Chapter 19 MutRenSeq: A Method for Rapid Cloning of Plant Disease Resistance Genes
  21. Altmetric Badge
    Chapter 20 Rapid Gene Isolation Using MutChromSeq
  22. Altmetric Badge
    Chapter 21 Rapid Identification of Rust Resistance Genes Through Cultivar-Specific De Novo Chromosome Assemblies
  23. Altmetric Badge
    Chapter 22 BSMV-Induced Gene Silencing Assay for Functional Analysis of Wheat Rust Resistance
  24. Altmetric Badge
    Chapter 23 Yeast as a Heterologous System to Functionally Characterize a Multiple Rust Resistance Gene that Encodes a Hexose Transporter
  25. Altmetric Badge
    Chapter 24 Biocontrol Agents for Controlling Wheat Rust
Attention for Chapter 19: MutRenSeq: A Method for Rapid Cloning of Plant Disease Resistance Genes
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  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Chapter title
MutRenSeq: A Method for Rapid Cloning of Plant Disease Resistance Genes
Chapter number 19
Book title
Wheat Rust Diseases
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7249-4_19
Pubmed ID
Book ISBNs
978-1-4939-7248-7, 978-1-4939-7249-4
Authors

Burkhard Steuernagel, Kamil Witek, Jonathan D. G. Jones, Brande B. H. Wulff

Abstract

MutRenSeq is a method to clone disease resistance (R) genes in plants. Tips and detailed experimental protocols for the pipeline, including the complexity reduction by R gene targeted enrichment sequencing, and computational analysis based on comparative genomics are provided in this chapter.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Student > Ph. D. Student 8 24%
Student > Master 3 9%
Student > Bachelor 2 6%
Other 1 3%
Other 0 0%
Unknown 9 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 48%
Biochemistry, Genetics and Molecular Biology 6 18%
Engineering 1 3%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 February 2019.
All research outputs
#13,903,378
of 23,577,654 outputs
Outputs from Methods in molecular biology
#3,798
of 13,410 outputs
Outputs of similar age
#215,703
of 423,887 outputs
Outputs of similar age from Methods in molecular biology
#328
of 1,073 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 423,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,073 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.