Your browser doesn't support javascript.
loading
A Comprehensive Gene Co-Expression Network Analysis Reveals a Role of GhWRKY46 in Responding to Drought and Salt Stresses.
Chen, Pengyun; Wei, Fei; Jian, Hongliang; Hu, Tingli; Wang, Baoquan; Lv, Xiaoyan; Wang, Hantao; Fu, Xiaokang; Yu, Shuxun; Wei, Hengling; Ma, Liang.
Afiliación
  • Chen P; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Wei F; State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng 475004, China.
  • Jian H; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Hu T; School of Life Sciences, Zhengzhou University, Zhengzhou 450000, China.
  • Wang B; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Lv X; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Wang H; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Fu X; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Yu S; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Wei H; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
  • Ma L; State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Int J Mol Sci ; 23(20)2022 Oct 12.
Article en En | MEDLINE | ID: mdl-36293038
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica de las Plantas / Sequías Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica de las Plantas / Sequías Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza