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Selection and validation of reference genes for quantitative gene expression analyses in black locust (Robinia pseudoacacia L.) using real-time quantitative PCR.
Wang, Jinxing; Abbas, Manzar; Wen, Yanzhong; Niu, Dongsheng; Wang, Ling; Sun, Yuhan; Li, Yun.
Afiliação
  • Wang J; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, People's Republic of China.
  • Abbas M; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, People's Republic of China.
  • Wen Y; Propagation and Breeding Farm for Improved Forest Trees of Jixian County, Shanxi Province, Linfen, People's Republic of China.
  • Niu D; Badaling Forestry Farm of Beijing, Beijing, People's Republic of China.
  • Wang L; Badaling Forestry Farm of Beijing, Beijing, People's Republic of China.
  • Sun Y; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, People's Republic of China.
  • Li Y; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, People's Republic of China.
PLoS One ; 13(3): e0193076, 2018.
Article em En | MEDLINE | ID: mdl-29529054
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estresse Fisiológico / Regulação da Expressão Gênica de Plantas / Robinia Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estresse Fisiológico / Regulação da Expressão Gênica de Plantas / Robinia Idioma: En Ano de publicação: 2018 Tipo de documento: Article