Disease Resistance and Susceptibility Genes in Signal Perception and Emission

2007 ◽  
Keyword(s):  
Disease Resistance ◽  
Susceptibility Genes ◽  
Signal Perception

Genome Editing: Targeting Susceptibility Genes for Plant Disease Resistance

2018 ◽  
Vol 36 (9) ◽  
pp. 898-906 ◽  
Author(s):  
Syed Shan-e-Ali Zaidi ◽  
M. Shahid Mukhtar ◽  
Shahid Mansoor
Keyword(s):  
Disease Resistance ◽  
Genome Editing ◽  
Plant Disease Resistance ◽  
Plant Disease ◽  
Susceptibility Genes

scholarly journals Sequencing and analysis of gerbera daisy leaf transcriptomes reveal disease resistance and susceptibility genes differentially expressed and associated with powdery mildew resistance

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Krishna Bhattarai ◽  
Ana Conesa ◽  
Shunyuan Xiao ◽  
Natalia A. Peres ◽  
David G. Clark ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Disease Resistance ◽  
Powdery Mildew ◽  
Resistance Genes ◽  
Disease Susceptibility ◽  
De Novo ◽  
Susceptibility Genes ◽  
Genetic Maps ◽  
Targeted Mutagenesis ◽  
Differentially Expressed

Abstract Background RNA sequencing has been widely used to profile genome-wide gene expression and identify candidate genes controlling disease resistance and other important traits in plants. Gerbera daisy is one of the most important flowers in the global floricultural trade, and powdery mildew (PM) is the most important disease of gerbera. Genetic improvement of gerbera PM resistance has become a crucial goal in gerbera breeding. A better understanding of the genetic control of gerbera resistance to PM can expedite the development of PM-resistant cultivars. Results The objectives of this study were to identify gerbera genotypes with contrasting phenotypes in PM resistance and sequence and analyze their leaf transcriptomes to identify disease resistance and susceptibility genes differentially expressed and associated with PM resistance. An additional objective was to identify SNPs and SSRs for use in future genetic studies. We identified two gerbera genotypes, UFGE 4033 and 06–245-03, that were resistant and susceptible to PM, respectively. De novo assembly of their leaf transcriptomes using four complementary pipelines resulted in 145,348 transcripts with a N50 of 1124 bp, of which 67,312 transcripts contained open reading frames and 48,268 were expressed in both genotypes. A total of 494 transcripts were likely involved in disease resistance, and 17 and 24 transcripts were up- and down-regulated, respectively, in UFGE 4033 compared to 06–245-03. These gerbera disease resistance transcripts were most similar to the NBS-LRR class of plant resistance genes conferring resistance to various pathogens in plants. Four disease susceptibility transcripts (MLO-like) were expressed only or highly expressed in 06–245-03, offering excellent candidate targets for gene editing for PM resistance in gerbera. A total of 449,897 SNPs and 19,393 SSRs were revealed in the gerbera transcriptomes, which can be a valuable resource for developing new molecular markers. Conclusion This study represents the first transcriptomic analysis of gerbera PM resistance, a highly important yet complex trait in a globally important floral crop. The differentially expressed disease resistance and susceptibility transcripts identified provide excellent targets for development of molecular markers and genetic maps, cloning of disease resistance genes, or targeted mutagenesis of disease susceptibility genes for PM resistance in gerbera.

Shotgun proteomics coupled to transient-inducible gene silencing reveal rice susceptibility genes as new sources for blast disease resistance

2021 ◽  
Vol 241 ◽  
pp. 104223
Author(s):  
Fabiano T.P.K. Távora ◽  
Rosangela Bevitori ◽  
Raquel N. Mello ◽  
Maria M.D.F. Cintra ◽  
Osmundo B. Oliveira-Neto ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Gene Silencing ◽  
Shotgun Proteomics ◽  
Susceptibility Genes ◽  
Blast Disease ◽  
Inducible Gene
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