Your browser doesn't support javascript.
loading
Systemic identification and analyses of genes potentially involved in chemosensory in the devastating tea pest Basilepta melanopus.
Zhou, Ling-Yun; Li, Wei; Liu, Hong-Yan; Xiang, Fen; Kang, Yan-Kai; Yin, Xia; Huang, An-Ping; Wang, Yuan-Jiang.
Afiliação
  • Zhou LY; Tea Research Institute, Hunan Academy of Agricultural Sciences, Hunan, Changsha 410125, PR China.
  • Li W; Tea Research Institute, Hunan Academy of Agricultural Sciences, Hunan, Changsha 410125, PR China.
  • Liu HY; Tea Research Institute, Hunan Academy of Agricultural Sciences, Hunan, Changsha 410125, PR China.
  • Xiang F; Tea Research Institute, Hunan Academy of Agricultural Sciences, Hunan, Changsha 410125, PR China.
  • Kang YK; Tea Research Institute, Hunan Academy of Agricultural Sciences, Hunan, Changsha 410125, PR China.
  • Yin X; Tea Research Institute, Hunan Academy of Agricultural Sciences, Hunan, Changsha 410125, PR China.
  • Huang AP; Hunan Agricultural Biotechnology Research Institute, Hunan, Changsha 410125, PR China.
  • Wang YJ; Tea Research Institute, Hunan Academy of Agricultural Sciences, Hunan, Changsha 410125, PR China. Electronic address: chnwyj@163.com.
Article em En | MEDLINE | ID: mdl-31195215

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Besouros / Genes de Insetos / Receptores Odorantes / Proteínas de Insetos / Camellia sinensis / Antenas de Artrópodes Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Comp Biochem Physiol Part D Genomics Proteomics Assunto da revista: BIOLOGIA / GENETICA Ano de publicação: 2019 Tipo de documento: Article País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Besouros / Genes de Insetos / Receptores Odorantes / Proteínas de Insetos / Camellia sinensis / Antenas de Artrópodes Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Comp Biochem Physiol Part D Genomics Proteomics Assunto da revista: BIOLOGIA / GENETICA Ano de publicação: 2019 Tipo de documento: Article País de publicação: Holanda