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CHINESE JOURNAL OF OIL CROP SCIENCES ›› 2022, Vol. 44 ›› Issue (4): 798-809.doi: 10.19802/j.issn.1007-9084.2021175

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Bioinformatics analysis of MIKC-type MADS-box gene family in legumes

Yue ZHANG(), Jia-qi WANG, Zi-jian YU, Qiang XU, Lan ZHANG(), Yu-xin PAN()   

  1. School of Life Sciences, North China University of Science and Technology, Tangshan 063210, China
  • Received:2021-06-22 Online:2022-08-25 Published:2022-08-30
  • Contact: Lan ZHANG,Yu-xin PAN E-mail:1583998136@qq.com;zhanglan1374@sohu.com;panyu-xin@163.com;zhanglan1374@sohu.com

Abstract:

MIKC MADS-box is a biological function rich family of transcription factors, and involved in regulating plant growth and development. In order to study the biological characteristics of MIKC-type MADS-box family genes in legumes, 92 and 45 MADS-box genes were identified in soybean and Medicago truncatula by bioinformatics method, and they were divided into 15 subfamilies. Motif analysis showed that the motifs of soybean and Medicago were different, and the gene structure and function changed. Collinearity and Ks analysis showed that 90.5% of the MIKC gene pairs in soybean and 87.1% of the MIKC-type gene pairs in Medicago were generated before the whole genome triplication in dicotyledons. Expression pattern analysis of genes in soybean showed that the MIKC MADS-box genes in soybean seedling stage were expressed higher than other stages, especially the expression of SVP, SOC1 and AGL12 subfamilies. Protein interaction network showed that soybean protein SVP interacted with CO, FT and TFL1 to regulate plant flowering. This study will lay a foundation for the further biological functions of MADS-box gene family.

Key words: MIKC-type MADS-box, transcription factors, soybean, evolution, expression pattern analysis

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