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Comparative analysis of plant immune receptor architectures uncovers host proteins likely targeted by pathogens

Overview of attention for article published in BMC Biology, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 1,429)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

7 news outlets
3 blogs
49 tweeters
1 Google+ user


210 Dimensions

Readers on

386 Mendeley
1 CiteULike
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Comparative analysis of plant immune receptor architectures uncovers host proteins likely targeted by pathogens
Published in
BMC Biology, February 2016
DOI 10.1186/s12915-016-0228-7
Pubmed ID

Panagiotis F. Sarris, Volkan Cevik, Gulay Dagdas, Jonathan D. G. Jones, Ksenia V. Krasileva


Plants deploy immune receptors to detect pathogen-derived molecules and initiate defense responses. Intracellular plant immune receptors called nucleotide-binding leucine-rich repeat (NLR) proteins contain a central nucleotide-binding (NB) domain followed by a series of leucine-rich repeats (LRRs), and are key initiators of plant defense responses. However, recent studies demonstrated that NLRs with non-canonical domain architectures play an important role in plant immunity. These composite immune receptors are thought to arise from fusions between NLRs and additional domains that serve as "baits" for the pathogen-derived effector proteins, thus enabling pathogen recognition. Several names have been proposed to describe these proteins, including "integrated decoys" and "integrated sensors". We adopt and argue for "integrated domains" or NLR-IDs, which describes the product of the fusion without assigning a universal mode of action. We have scanned available plant genome sequences for the full spectrum of NLR-IDs to evaluate the diversity of integrations of potential sensor/decoy domains across flowering plants, including 19 crop species. We manually curated wheat and brassicas and experimentally validated a subset of NLR-IDs in wild and cultivated wheat varieties. We have examined NLR fusions that occur in multiple plant families and identified that some domains show re-occurring integration across lineages. Domains fused to NLRs overlap with previously identified pathogen targets confirming that they act as baits for the pathogen. While some of the integrated domains have been previously implicated in disease resistance, others provide new targets for engineering durable resistance to plant pathogens. We have built a robust reproducible pipeline for detecting variable domain architectures in plant immune receptors across species. We hypothesize that NLR-IDs that we revealed provide clues to the host proteins targeted by pathogens, and that this information can be deployed to discover new sources of disease resistance.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Germany 2 <1%
Brazil 2 <1%
Netherlands 2 <1%
Australia 1 <1%
Israel 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Estonia 1 <1%
Other 1 <1%
Unknown 371 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 28%
Researcher 72 19%
Student > Master 51 13%
Student > Bachelor 36 9%
Student > Doctoral Student 22 6%
Other 47 12%
Unknown 50 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 224 58%
Biochemistry, Genetics and Molecular Biology 82 21%
Environmental Science 3 <1%
Chemistry 3 <1%
Unspecified 3 <1%
Other 12 3%
Unknown 59 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 98. 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 13 September 2018.
All research outputs
of 16,469,608 outputs
Outputs from BMC Biology
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Outputs of similar age
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Outputs of similar age from BMC Biology
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Altmetric has tracked 16,469,608 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,429 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. 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 268,280 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 97% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them