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Comparative Analysis of the Flax Immune Receptors L6 and L7 Suggests an Equilibrium-Based Switch Activation Model

Overview of attention for article published in Plant Cell, January 2016
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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 (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Comparative Analysis of the Flax Immune Receptors L6 and L7 Suggests an Equilibrium-Based Switch Activation Model
Published in
Plant Cell, January 2016
DOI 10.1105/tpc.15.00303
Pubmed ID
Authors

Maud Bernoux, Hayden Burdett, Simon J. Williams, Xiaoxiao Zhang, Chunhong Chen, Kim Newell, Gregory J. Lawrence, Bostjan Kobe, Jeffrey G. Ellis, Peter A. Anderson, Peter N. Dodds

Abstract

NOD-like receptors (NLRs) are central components of the plant immune system. L6 is a Toll/interleukin-1 receptor (TIR) domain-containing NLR from flax, which confers immunity to strains of the flax rust fungus expressing the effector AvrL567. Comparison of L6 to the weaker allele L7 identified two polymorphic regions in the TIR and the nucleotide binding (NB) domains that control both effector ligand-dependent and -independent cell death signaling as well as nucleotide binding to the receptor. These findings suggest that a negative functional interaction between the TIR and NB domains hold L7 in an inactive/ADP-bound state more tightly than L6, hence decreasing its capacity to adopt the active/ATP-bound state and explaining its weaker activity in planta. Furthermore, yeast-2-hybrid assays detected binding between AvrL567 and L6 or L7 variants that can activate a cell death signaling response, but not with those that are signaling inactive and have a more stable ADP-bound state. This finding differs from current models, which predict that effectors bind to inactive receptors and trigger their activation. Based on the correlation between nucleotide binding, effector interaction and immune signaling properties of L6/L7 variants, we propose an equilibrium-based switch model. In this model, the NLR exists in an equilibrium between "on" and "off" states and effector binding to the "on" state stabilizes this conformation, thereby shifting the equilibrium towards the active form of the receptor to trigger defense signaling.

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X Demographics

The data shown below were collected from the profiles of 12 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 106 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 32%
Researcher 15 14%
Student > Master 11 10%
Student > Bachelor 11 10%
Student > Postgraduate 4 4%
Other 8 7%
Unknown 24 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 51%
Biochemistry, Genetics and Molecular Biology 24 22%
Environmental Science 2 2%
Unspecified 1 <1%
Unknown 25 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 February 2016.
All research outputs
#5,340,533
of 25,377,790 outputs
Outputs from Plant Cell
#2,549
of 7,037 outputs
Outputs of similar age
#83,917
of 400,086 outputs
Outputs of similar age from Plant Cell
#24
of 55 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,037 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 63% 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 400,086 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 78% of its contemporaries.
We're also able to compare this research output to 55 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 54% of its contemporaries.