›› 2018, Vol. 30 ›› Issue (1): 7-7.DOI: 10.3969/j.issn.1004-1524.2018.01.02

• Crop Science • Previous Articles     Next Articles

Identification and bioinformatics analysis of ARF gene family in buckwheat

LI Hongyou, HE Dong’ao, CAI Fang, ZHANG Xiaona, SHI Taoxiong, CHEN Qijiao, CHEN Qingfu*   

  1. Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China
  • Received:2017-06-25 Online:2018-01-20 Published:2018-02-09

Abstract: Auxin response factors (ARF) genes response to auxin signaling and play vital roles in plant growth and development. In the study, a total of 21 ARF genes from buckwheat genome were identified by using BlastP analysis, and then the gene structure, physical and chemical characteristics of encode proteins, conserved domains, conserved motif, subcellular localization, potential phosphorylation sites and evolutionary relationship of these genes were analyzed. Gene structure analysis showed that 21 ARF genes contain intron, and the intron number between genes was different. Conserved domains analysis indicated that all ARF proteins contain B3 and ARF domain, and some proteins also include Aux /IAA domain. Conserved protein motif analysis found that 10 conserved motifs with a range of 13 to 55 amino acids existed in buckwheat ARF proteins. Subcellular localization analysis showed that great majority of ARF proteins located in nucleus and a few of proteins located in chloroplast. Potential phosphorylation sites analysis indicated that all ARF proteins contain Ser, Thr and Tyr phosphorylation sites, but the number of each class’s phosphorylation site between genes was different. Phylogenetic analysis revealed that 21 ARF genes were divided into Ⅰ, Ⅱ and Ⅲ subfamily, and Ⅰ subfamily could be further classed into Ⅰa and Ⅰb subclass, and subfamily Ⅱ could be further divided into Ⅱa and Ⅱb subclass. This study laid a foundation for cloning of buckwheat ARF genes and further functional dissection in growth and development of buckwheat.

Key words: buckwheat, ARF, information analysis, conserved domain, evolution analysis

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