Selenium Metabolism and Selenoproteins in Prokaryotes: A Bioinformatics Perspective

被引:11
|
作者
Zhang, Yan [1 ,2 ]
Jin, Jiao [1 ]
Huang, Biyan [1 ]
Ying, Huimin [3 ]
He, Jie [1 ]
Jiang, Liang [1 ]
机构
[1] Shenzhen Univ, Coll Life Sci & Oceanog, Brain Dis & Big Data Res Inst, Shenzhen Key Lab Marine Bioresources & Ecol, Shenzhen 518055, Peoples R China
[2] Shenzhen Hong Kong Inst Brain Sci, Shenzhen Fundamental Res Inst, Shenzhen 518055, Peoples R China
[3] Zhejiang Univ, Affiliated Hangzhou Xixi Hosp, Sch Med, Hangzhou 310023, Peoples R China
关键词
selenium; selenocysteine; selenoprotein; comparative genomics; bioinformatics; evolution; COMPARATIVE GENOMICS REVEALS; AMINO-ACIDS; SELENOCYSTEINE; IDENTIFICATION; BIOSYNTHESIS; BIOCHEMISTRY; REDUCTION; EVOLUTION; METAGENOMICS; THIOREDOXIN;
D O I
10.3390/biom12070917
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Selenium (Se) is an important trace element that mainly occurs in the form of selenocysteine in selected proteins. In prokaryotes, Se is also required for the synthesis of selenouridine and Se-containing cofactor. A large number of selenoprotein families have been identified in diverse prokaryotic organisms, most of which are thought to be involved in various redox reactions. In the last decade or two, computational prediction of selenoprotein genes and comparative genomics of Se metabolic pathways and selenoproteomes have arisen, providing new insights into the metabolism and function of Se and their evolutionary trends in bacteria and archaea. This review aims to offer an overview of recent advances in bioinformatics analysis of Se utilization in prokaryotes. We describe current computational strategies for the identification of selenoprotein genes and generate the most comprehensive list of prokaryotic selenoproteins reported to date. Furthermore, we highlight the latest research progress in comparative genomics and metagenomics of Se utilization in prokaryotes, which demonstrates the divergent and dynamic evolutionary patterns of different Se metabolic pathways, selenoprotein families, and selenoproteomes in sequenced organisms and environmental samples. Overall, bioinformatics analyses of Se utilization, function, and evolution may contribute to a systematic understanding of how this micronutrient is used in nature.
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页数:14
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