2017
DOI: 10.1007/978-1-4939-7249-4_2
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Field Pathogenomics: An Advanced Tool for Wheat Rust Surveillance

Abstract: Traditionally, diagnostic tools for plant pathogens were limited to the analysis of purified pathogen isolates subjected to phenotypic characterization and/or PCR-based genotypic analysis. However, these approaches detect only already known pathogenic agents, may not always recognize novel races, and can introduce bias in the results. Recent advances in next-generation sequencing technologies have provided new opportunities to integrate high-resolution genotype data into pathogen surveillance programs. Here, w… Show more

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Cited by 6 publications
(2 citation statements)
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“…One example is ''field pathogenomics'', where RNA-sequencing data are generated from pathogen-infected leaf samples collected in the field. Phylogenetic and structural analyses based on the most variable SNPs within the pathogen population are employed to gain insight into the genetic groups present (Hubbard et al, 2015;Bueno-Sancho et al, 2017). This has been used to demonstrate population shifts in wheat yellow rust (Puccinia striiformis f. sp.…”
Section: Molecular Plantmentioning
confidence: 99%
“…One example is ''field pathogenomics'', where RNA-sequencing data are generated from pathogen-infected leaf samples collected in the field. Phylogenetic and structural analyses based on the most variable SNPs within the pathogen population are employed to gain insight into the genetic groups present (Hubbard et al, 2015;Bueno-Sancho et al, 2017). This has been used to demonstrate population shifts in wheat yellow rust (Puccinia striiformis f. sp.…”
Section: Molecular Plantmentioning
confidence: 99%
“…Stewardship plans will thus need to be in place to deploy synthetic NLRs in combination and/or rotation with other resistance genes to prevent rapid resistance breakdown. Additionally, diagnostic methods such as field pathogenomics [ 79 , 80 ] or Marple [ 81 ] can identify pathogen isolates causing outbreaks and thus inform targeted engineering of new resistances.…”
Section: Discussionmentioning
confidence: 99%