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https://dx.doi.org/10.5167/uzh...
Other literature type . 2020
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The NLR-Annotator Tool Enables Annotation of the Intracellular Immune Receptor Repertoire

Authors: Steuernagel, Burkhard; Witek, Kamil; Krattinger, Simon G; Ramirez-Gonzalez, Ricardo H; Schoonbeek, Henk-jan; Yu, Guotai; Baggs, Erin; +8 Authors

The NLR-Annotator Tool Enables Annotation of the Intracellular Immune Receptor Repertoire

Abstract

Disease resistance genes encoding nucleotide-binding and leucine-rich repeat (NLR) intracellular immune receptor proteins detect pathogens by the presence of pathogen effectors. Plant genomes typically contain hundreds of NLR-encoding genes. The availability of the hexaploid wheat (Triticum aestivum) cultivar Chinese Spring reference genome allows a detailed study of its NLR complement. However, low NLR expression and high intrafamily sequence homology hinder their accurate annotation. Here, we developed NLR-Annotator, a software tool for in silico NLR identification independent of transcript support. Although developed for wheat, we demonstrate the universal applicability of NLR-Annotator across diverse plant taxa. We applied our tool to wheat and combined it with a transcript-validated subset of genes from the reference gene annotation to characterize the structure, phylogeny, and expression profile of the NLR gene family. We detected 3,400 full-length NLR loci, of which 1,560 were confirmed as expressed genes with intact open reading frames. NLRs with integrated domains mostly group in specific subclades. Members of another subclade predominantly locate in close physical proximity to NLRs carrying integrated domains, suggesting a paired helper function. Most NLRs (88%) display low basal expression (in the lower 10 percentile of transcripts). In young leaves subjected to biotic stress, we found up-regulation of 266 of the NLRs To illustrate the utility of our tool for the positional cloning of resistance genes, we estimated the number of NLR genes within the intervals of mapped rust resistance genes. Our study will support the identification of functional resistance genes in wheat to accelerate the breeding and engineering of disease-resistant varieties.

Countries
Saudi Arabia, Switzerland
Keywords

Physiology, 1314 Physiology, Plant Science, 580 Plants (Botany), 10126 Department of Plant and Microbial Biology, 1311 Genetics, 1110 Plant Science, Genetics, 10211 Zurich-Basel Plant Science Center, Genome, Plant, Phylogeny, Software, Triticum, Disease Resistance, Plant Diseases, Plant Proteins

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
178
Top 1%
Top 10%
Top 0.1%
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