↓ Skip to main content

Genome-Editing Technologies for Enhancing Plant Disease Resistance

Overview of attention for article published in Frontiers in Plant Science, December 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
194 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-Editing Technologies for Enhancing Plant Disease Resistance
Published in
Frontiers in Plant Science, December 2016
DOI 10.3389/fpls.2016.01813
Pubmed ID
Authors

Giuseppe Andolfo, Paolo Iovieno, Luigi Frusciante, Maria R Ercolano

Abstract

One of the greatest challenges for agricultural science in the 21st century is to improve yield stability through the progressive development of superior cultivars. The increasing numbers of infectious plant diseases that are caused by plant-pathogens make it ever more necessary to develop new strategies for plant disease resistance breeding. Targeted genome engineering allows the introduction of precise modifications directly into a commercial variety, offering a viable alternative to traditional breeding methods. Genome editing is a powerful tool for modifying crucial players in the plant immunity system. In this work, we propose and discuss genome-editing strategies and targets for improving resistance to phytopathogens. First of all, we present the opportunities to rewrite the effector-target sequence for avoiding effector-target molecular interaction and also to modify effector-target promoters for increasing the expression of target genes involved in the resistance process. In addition, we describe potential approaches for obtaining synthetic R-genes through genome-editing technologies (GETs). Finally, we illustrate a genome editing flowchart to modify the pathogen recognition sites and engineer an R-gene that mounts resistance to some phylogenetically divergent pathogens. GETs potentially mark the beginning of a new era, in which synthetic biology affords a basis for obtaining a reinforced plant defense system. Nowadays it is conceivable that by modulating the function of the major plant immunity players, we will be able to improve crop performance for a sustainable agriculture.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 1%
United Kingdom 1 <1%
Argentina 1 <1%
Unknown 190 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 21%
Student > Ph. D. Student 30 15%
Student > Master 20 10%
Student > Bachelor 13 7%
Student > Doctoral Student 12 6%
Other 31 16%
Unknown 47 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 55%
Biochemistry, Genetics and Molecular Biology 27 14%
Business, Management and Accounting 3 2%
Immunology and Microbiology 3 2%
Social Sciences 2 1%
Other 5 3%
Unknown 48 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 April 2022.
All research outputs
#6,311,615
of 23,460,553 outputs
Outputs from Frontiers in Plant Science
#3,396
of 21,461 outputs
Outputs of similar age
#113,391
of 419,621 outputs
Outputs of similar age from Frontiers in Plant Science
#64
of 496 outputs
Altmetric has tracked 23,460,553 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 21,461 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 419,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 496 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.