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A novel hairpin library-based approach to identify NBS–LRR genes required for effector-triggered hypersensitive response in Nicotiana benthamiana

Overview of attention for article published in Plant Methods, April 2017
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Title
A novel hairpin library-based approach to identify NBS–LRR genes required for effector-triggered hypersensitive response in Nicotiana benthamiana
Published in
Plant Methods, April 2017
DOI 10.1186/s13007-017-0181-7
Pubmed ID
Authors

Cyril Brendolise, Mirco Montefiori, Romain Dinis, Nemo Peeters, Roy D. Storey, Erik H. Rikkerink

Abstract

PTI and ETI are the two major defence mechanisms in plants. ETI is triggered by the detection of pathogen effectors, or their activity, in the plant cell and most of the time involves internal receptors known as resistance (R) genes. An increasing number of R genes responsible for recognition of specific effectors have been characterised over the years; however, methods to identify R genes are often challenging and cannot always be translated to crop plants. We present a novel method to identify R genes responsible for the recognition of specific effectors that trigger a hypersensitive response (HR) in Nicotiana benthamiana. This method is based on the genome-wide identification of most of the potential R genes of N. benthamiana and a systematic silencing of these potential R genes in a simple transient expression assay. A hairpin-RNAi library was constructed covering 345 R gene candidates of N. benthamiana. This library was then validated using several previously described R genes. Our approach indeed confirmed that Prf, NRC2a/b and NRC3 are required for the HR that is mediated in N. benthamiana by Pto/avrPto (prf, NRC2a/b and NRC3) and by Cf4/avr4 (NRC2a/b and NRC3). We also confirmed that NRG1, in association with N, is required for the Tobacco Mosaic Virus (TMV)-mediated HR in N. benthamiana. We present a novel approach combining bioinformatics, multiple-gene silencing and transient expression assay screening to rapidly identify one-to-one relationships between pathogen effectors and host R genes in N. benthamiana. This approach allowed the identification of previously described R genes responsible for detection of avirulence determinants from Pseudomonas, Cladosporium and TMV, demonstrating that the method could be applied to any effectors/proteins originating from a broad range of plant pathogens that trigger an HR in N. benthamiana. Moreover, with the increasing availability of genome sequences from model and crop plants and pathogens, this approach could be implemented in other plants, accelerating the process of identification and characterization of novel resistance genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Ph. D. Student 10 18%
Lecturer 4 7%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 8 15%
Unknown 13 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 56%
Biochemistry, Genetics and Molecular Biology 6 11%
Immunology and Microbiology 1 2%
Chemistry 1 2%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 25 August 2021.
All research outputs
#2,230,661
of 23,773,824 outputs
Outputs from Plant Methods
#107
of 1,129 outputs
Outputs of similar age
#42,781
of 311,894 outputs
Outputs of similar age from Plant Methods
#4
of 33 outputs
Altmetric has tracked 23,773,824 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,129 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 90% 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 311,894 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 86% of its contemporaries.
We're also able to compare this research output to 33 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 90% of its contemporaries.