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Investigating plant disease outbreaks with long-read metagenomics: sensitive detection and highly resolved phylogenetic reconstruction applied to Xylella fastidiosa.
Johnson, Marcela A; Liu, Haijie; Bush, Elizabeth; Sharma, Parul; Yang, Shu; Mazloom, Reza; Heath, Lenwood S; Nita, Mizuho; Li, Song; Vinatzer, Boris A.
Afiliación
  • Johnson MA; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Liu H; Graduate Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA.
  • Bush E; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Sharma P; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Yang S; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Mazloom R; Graduate Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA.
  • Heath LS; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Nita M; Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
  • Li S; Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
  • Vinatzer BA; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Microb Genom ; 8(5)2022 05.
Article en En | MEDLINE | ID: mdl-35584001

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Xylella / Metagenómica Tipo de estudio: Diagnostic_studies Idioma: En Revista: Microb Genom Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Xylella / Metagenómica Tipo de estudio: Diagnostic_studies Idioma: En Revista: Microb Genom Año: 2022 Tipo del documento: Article