Your browser doesn't support javascript.
loading
Evidence for a synergistic effect of post-translational modifications and genomic composition of eEF-1α on the adaptation of Phytophthora infestans.
Wang, Yan-Ping; Wu, E-Jiao; Lurwanu, Yahuza; Ding, Ji-Peng; He, Dun-Chun; Waheed, Abdul; Nkurikiyimfura, Oswald; Liu, Shi-Ting; Li, Wen-Yang; Wang, Zong-Hua; Yang, Lina; Zhan, Jiasui.
Affiliation
  • Wang YP; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Wu EJ; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Lurwanu Y; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Ding JP; Department of Crop Protection Bayero University Kano Kano Nigeria.
  • He DC; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Waheed A; School of Economics and Trade Fujian Jiangxia University Fuzhou China.
  • Nkurikiyimfura O; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Liu ST; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Li WY; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Wang ZH; Key lab for Bio pesticide and Chemical Biology Ministry of Education Fujian Agriculture and Forestry University Fuzhou China.
  • Yang L; Fujian University Key Laboratory for Plant-Microbe Interaction College of Life Sciences Fujian Agriculture and Forestry University Fuzhou China.
  • Zhan J; Institute of Oceanography Minjiang University Fuzhou China.
Ecol Evol ; 11(10): 5484-5496, 2021 May.
Article de En | MEDLINE | ID: mdl-34026022

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Ecol Evol Année: 2021 Type de document: Article Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Ecol Evol Année: 2021 Type de document: Article Pays de publication: Royaume-Uni