Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2022, Vol. 38 ›› Issue (8): 17-24.doi: 10.11924/j.issn.1000-6850.casb2021-0831

Special Issue: 生物技术 园艺

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TIFY Gene Family in Sugar Beet: Whole Genome Identification and Bioinformatics Analysis

GONG Yongyong1,2,3(), DUANMU Huizi1,2,3()   

  1. 1Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin 150500
    2Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region, School of Life Sciences, Heilongjiang University, Harbin 150080
    3Key Laboratory of Molecular Biology, College of Heilongjiang Province, Harbin 150080
  • Received:2021-08-31 Revised:2021-11-03 Online:2022-03-15 Published:2022-04-06
  • Contact: DUANMU Huizi E-mail:gongyyong@163.com;duanmuhuizi@sina.cn

Abstract:

TIFY transcription factors play an important role in regulating plant growth and development as well as stress response, therefore, the purpose of this study is to identify and analyze TIFY transcription factors in sugar beet (Beta vulgaris L.). Based on the genome data of sugar beet, bioinformatics techniques were used to identify and analyze the members of sugar beet TIFY family at the whole genome level. The results showed that there were 21 TIFY genes in sugar beet with low sequence similarity. Collinearity analysis showed that only BvTIFY15 and BvTIFY18 had gene replication events. The family of BvTIFY transcription factors included 2 TIFY proteins, 8 JAZ proteins, 6 ZML proteins and 5 PPD proteins. Protein-protein interaction prediction showed that members of the JAZ family played an important role in the regulation of JA signaling. This study analyzed the structure and function of BvTIFY genes and discovered the salt stress responsive genes BvTIFY13 and BvTIFY15 in sugar beet roots. It can provide a theoretical basis for subsequent functional studies on BvTIFY genes.

Key words: sugar beet, transcription factors, TIFY family, whole genome identification, bioinformatics

CLC Number: