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The role of effectors in nonhost resistance to filamentous plant pathogens

Overview of attention for article published in Frontiers in Plant Science, November 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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29 X users
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182 Mendeley
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Title
The role of effectors in nonhost resistance to filamentous plant pathogens
Published in
Frontiers in Plant Science, November 2014
DOI 10.3389/fpls.2014.00582
Pubmed ID
Authors

Remco Stam, Sophie Mantelin, Hazel McLellan, Gaëtan Thilliez

Abstract

In nature, most plants are resistant to a wide range of phytopathogens. However, mechanisms contributing to this so-called nonhost resistance (NHR) are poorly understood. Besides constitutive defenses, plants have developed two layers of inducible defense systems. Plant innate immunity relies on recognition of conserved pathogen-associated molecular patterns (PAMPs). In compatible interactions, pathogenicity effector molecules secreted by the invader can suppress host defense responses and facilitate the infection process. Additionally, plants have evolved pathogen-specific resistance mechanisms based on recognition of these effectors, which causes secondary defense responses. The current effector-driven hypothesis is that NHR in plants that are distantly related to the host plant is triggered by PAMP recognition that cannot be efficiently suppressed by the pathogen, whereas in more closely related species, nonhost recognition of effectors would play a crucial role. In this review we give an overview of current knowledge of the role of effector molecules in host and NHR and place these findings in the context of the model. We focus on examples from filamentous pathogens (fungi and oomycetes), discuss their implications for the field of plant-pathogen interactions and relevance in plant breeding strategies for development of durable resistance in crops.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
France 1 <1%
Australia 1 <1%
Germany 1 <1%
India 1 <1%
Brazil 1 <1%
Nigeria 1 <1%
United Kingdom 1 <1%
Unknown 173 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 28%
Researcher 37 20%
Student > Master 26 14%
Student > Doctoral Student 10 5%
Professor 9 5%
Other 24 13%
Unknown 25 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 125 69%
Biochemistry, Genetics and Molecular Biology 22 12%
Environmental Science 2 1%
Engineering 2 1%
Chemistry 1 <1%
Other 1 <1%
Unknown 29 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 31 July 2019.
All research outputs
#1,771,056
of 22,765,347 outputs
Outputs from Frontiers in Plant Science
#643
of 20,063 outputs
Outputs of similar age
#22,271
of 262,692 outputs
Outputs of similar age from Frontiers in Plant Science
#8
of 208 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,063 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 262,692 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.