Your browser doesn't support javascript.
loading
Genomic Approaches to Plant-Pathogen Epidemiology and Diagnostics.
Weisberg, Alexandra J; Grünwald, Niklaus J; Savory, Elizabeth A; Putnam, Melodie L; Chang, Jeff H.
Afiliação
  • Weisberg AJ; Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331, USA; email: changj@oregonstate.edu.
  • Grünwald NJ; Horticultural Crops Research Laboratory, USDA Agricultural Research Service, Corvallis, Oregon 97331, USA.
  • Savory EA; Oregon Department of Agriculture, Salem, Oregon 97301, USA.
  • Putnam ML; Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331, USA; email: changj@oregonstate.edu.
  • Chang JH; Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331, USA; email: changj@oregonstate.edu.
Annu Rev Phytopathol ; 59: 311-332, 2021 08 25.
Article em En | MEDLINE | ID: mdl-34030448
ABSTRACT
Diseases have a significant cost to agriculture. Findings from analyses of whole-genome sequences show great promise for informing strategies to mitigate risks from diseases caused by phytopathogens. Genomic approaches can be used to dramatically shorten response times to outbreaks and inform disease management in novel ways. However, the use of these approaches requires expertise in working with big, complex data sets and an understanding of their pitfalls and limitations to infer well-supported conclusions. We suggest using an evolutionary framework to guide the use of genomic approaches in epidemiology and diagnostics of plant pathogens. We also describe steps that are necessary for realizing these as standard approaches in disease surveillance.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Genômica Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Annu Rev Phytopathol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Genômica Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Annu Rev Phytopathol Ano de publicação: 2021 Tipo de documento: Article