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Genome-wide identification and expression profiles of ERF subfamily transcription factors in Zea mays.
Hao, Lidong; Shi, Shubing; Guo, Haibin; Li, Ming; Hu, Pan; Wei, Yadong; Feng, Yanfei.
Affiliation
  • Hao L; College of Agriculture, Xinjiang Agriculture University, Urumqi, China.
  • Shi S; College of Agriculture and Hydraulic Engineering, Sui Hua University, Suihua, China.
  • Guo H; College of Agriculture, Xinjiang Agriculture University, Urumqi, China.
  • Li M; College of Agriculture and Hydraulic Engineering, Sui Hua University, Suihua, China.
  • Hu P; School of Economics and Management, Sui Hua University, Suihua, China.
  • Wei Y; College of Agriculture and Hydraulic Engineering, Sui Hua University, Suihua, China.
  • Feng Y; College of Agriculture, Xinjiang Agriculture University, Urumqi, China.
PeerJ ; 8: e9551, 2020.
Article in En | MEDLINE | ID: mdl-32742811
The Ethylene-Response Factor (ERF) subfamily transcription factors (TFs) belong to the APETALA2/Ethylene-Responsive Factor (AP2/ERF) superfamily and play a vital role in plant growth and development. However, identification and analysis of the ERF subfamily genes in maize have not yet been performed at genome-wide level. In this study, a total of 76 ERF subfamily TFs were identified and were found to be unevenly distributed on the maize chromosomes. These maize ERF (ZmERF) TFs were classified into six groups, namely groups B1 to B6, based on phylogenetic analysis. Synteny analysis showed that 50, 54, and 58 of the ZmERF genes were orthologous to those in rice, Brachypodium, and Sorghum, respectively. Cis-element analysis showed that elements related to plant growth and development, hormones, and abiotic stress were identified in the promoter region of ZmERF genes. Expression profiles suggested that ZmERF genes might participate in plant development and in response to salinity and drought stresses. Our findings lay a foundation and provide clues for understanding the biological functions of ERF TFs in maize.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: PeerJ Year: 2020 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: PeerJ Year: 2020 Document type: Article Affiliation country: China Country of publication: United States