Your browser doesn't support javascript.
loading
Genome-wide analysis of WD40 protein family and functional characterization of BvWD40-82 in sugar beet.
Wu, Zhirui; Zhang, Tingyue; Li, Jinna; Chen, Sixue; Grin, Inga R; Zharkov, Dmitry O; Yu, Bing; Li, Haiying.
Affiliation
  • Wu Z; Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Plant Genetic Engineering and Biological Fermentation Engineering for Cold Region & Key Laboratory of Molecular Biology, College of Heilongjiang Province &am
  • Zhang T; Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Plant Genetic Engineering and Biological Fermentation Engineering for Cold Region & Key Laboratory of Molecular Biology, College of Heilongjiang Province &am
  • Li J; Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Plant Genetic Engineering and Biological Fermentation Engineering for Cold Region & Key Laboratory of Molecular Biology, College of Heilongjiang Province &am
  • Chen S; Department of Biology, University of Mississippi, Oxford, MS, United States.
  • Grin IR; Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia.
  • Zharkov DO; Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
  • Yu B; Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia.
  • Li H; Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
Front Plant Sci ; 14: 1185440, 2023.
Article in En | MEDLINE | ID: mdl-37332716

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Plant Sci Year: 2023 Document type: Article Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Plant Sci Year: 2023 Document type: Article Country of publication: Switzerland