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农业生物技术学报  2022, Vol. 30 Issue (11): 2061-2076    DOI: 10.3969/j.issn.1674-7968.2022.11.001
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Identification and Expression Analysis of AKR Superfamily in Soybean (Glycine max)
LI Su-Ning, ZHAO Xian-Wei, SUN Li-Ping, ZHAO Chao-Sen, WANG Rui-Zhen, GUO Bing-Fu*
Crops Research Institute/Nanchang Branch of National Center of Oilcrops Improvement/Jiangxi Province Key Laboratory of Oilcrops Biology, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China
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Abstract  Aldo keto reductases (AKRs) are widely distributed in plants and animals and play an important role in the metabolism of steroids, sugars, and other carbonyls. It is associated with the metabolism of exogenous and endogenous toxins, including toxic substances produced by stimulation. At present, some AKR genes involved in stress had been reported in plants such as Arabidopsis thaliana and rice (Oryza sativa), but the research of AKRs in soybean (Glycine max) are still scarce. In this study, bioinformatics methods and qPCR were used to identify the AKR family members in soybean on whole genome and analyze its expression characteristics. The results showed that 44 GmAKR genes in soybean genome, and the proteins encoded by GmAKRs all had the Aldo-ket-red domain. Phylogenetic analysis showed that GmAKRs could be clustered into 5 families, which distributed unevenly on 16 chromosomes. The promoter regions of GmAKRs had different numbers of hormone or stress-responsive cis-acting elements, suggested that GmAKRs may be involved in various growth and development regulation processes of plants. Expression pattern analysis showed that GmAKRs had different tissue expression characteristics, and was basically consistent with the Phytozome database. These results provide a reference for further revealing the biological functions of AKR family in soybean.
Key wordsSoybean      Aldo keto reductases (AKRs)      Bioinformatics analysis      Expression pattern     
Received: 22 December 2021     
ZTFLH:  S529  
Corresponding Authors: * gbfhq@163.com   
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LI Su-Ning
ZHAO Xian-Wei
SUN Li-Ping
ZHAO Chao-Sen
WANG Rui-Zhen
GUO Bing-Fu
Cite this article:   
LI Su-Ning,ZHAO Xian-Wei,SUN Li-Ping, et al. Identification and Expression Analysis of AKR Superfamily in Soybean (Glycine max)[J]. 农业生物技术学报, 2022, 30(11): 2061-2076.
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http://journal05.magtech.org.cn/Jwk_ny/EN/10.3969/j.issn.1674-7968.2022.11.001     OR     http://journal05.magtech.org.cn/Jwk_ny/EN/Y2022/V30/I11/2061
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