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Complex Interactions between Fungal Avirulence Genes and Their Corresponding Plant Resistance Genes and Consequences for Disease Resistance Management

Overview of attention for article published in Frontiers in Plant Science, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
Complex Interactions between Fungal Avirulence Genes and Their Corresponding Plant Resistance Genes and Consequences for Disease Resistance Management
Published in
Frontiers in Plant Science, June 2017
DOI 10.3389/fpls.2017.01072
Pubmed ID
Authors

Yohann Petit-Houdenot, Isabelle Fudal

Abstract

During infection, pathogens secrete an arsenal of molecules, collectively called effectors, key elements of pathogenesis which modulate innate immunity of the plant and facilitate infection. Some of these effectors can be recognized directly or indirectly by resistance (R) proteins from the plant and are then called avirulence (AVR) proteins. This recognition usually triggers defense responses including the hypersensitive response and results in resistance of the plant. R-AVR gene interactions are frequently exploited in the field to control diseases. Recently, the availability of fungal genomes has accelerated the identification of AVR genes in plant pathogenic fungi, including in fungi infecting agronomically important crops. While single AVR genes recognized by their corresponding R gene were identified, more and more complex interactions between AVR and R genes are reported (e.g., AVR genes recognized by several R genes, R genes recognizing several AVR genes in distinct organisms, one AVR gene suppressing recognition of another AVR gene by its corresponding R gene, two cooperating R genes both necessary to recognize an AVR gene). These complex interactions were particularly reported in pathosystems showing a long co-evolution with their host plant but could also result from the way agronomic crops were obtained and improved (e.g., through interspecific hybridization or introgression of resistance genes from wild related species into cultivated crops). In this review, we describe some complex R-AVR interactions between plants and fungi that were recently reported and discuss their implications for AVR gene evolution and R gene management.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 199 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 23%
Student > Master 27 14%
Researcher 22 11%
Student > Bachelor 22 11%
Student > Doctoral Student 8 4%
Other 20 10%
Unknown 55 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 48%
Biochemistry, Genetics and Molecular Biology 34 17%
Medicine and Dentistry 3 2%
Arts and Humanities 1 <1%
Environmental Science 1 <1%
Other 6 3%
Unknown 58 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 July 2017.
All research outputs
#4,176,426
of 22,981,247 outputs
Outputs from Frontiers in Plant Science
#2,204
of 20,432 outputs
Outputs of similar age
#68,826
of 291,513 outputs
Outputs of similar age from Frontiers in Plant Science
#69
of 569 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,432 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 89% 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 291,513 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 569 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.