Global evolution of glycosylated polyene macrolide antibiotic biosynthesis

被引:5
作者
Liang, Dongmei
Yang, Xiaoyu
Liu, Jiaheng
Caiyin, Qinggele
Zhao, Guangrong
Li, Lifen
Qiao, Jianjun
机构
[1] Tianjin Univ, Sch Chem Engn & Technol, Dept Pharmaceut Engn, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Minist Educ, Key Lab Syst Bioengn, Tianjin 300072, Peoples R China
[3] Collaborat Innovat Ctr Chem Sci & Engn Tianjin, SynBio Res Platform, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Glycosylated polyene macrolides; Global evolution; Antibiotic biosynthesis; Actinomycetes genomes; Host preference; GENE-CLUSTER; NATAMYCIN PRODUCTION; CANDICIDIN BIOSYNTHESIS; PHYLOGENETIC ANALYSIS; POLYKETIDE SYNTHASE; STREPTOMYCES; TETRAMYCIN; NYSTATIN; IDENTIFICATION; ANTIFUNGAL;
D O I
10.1016/j.ympev.2018.06.005
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
Antibiotics are the most marvelous evolutionary products of microbes to obtain competitive advantage and maintain ecological balance. However, the origination and development of antibiotics has yet to be explicitly investigated. Due to diverse structures and similar biosynthesis, glycosylated polyene macrolides (gPEMs) were chosen to explore antibiotic evolution. A total of 130 candidate and 38 transitional gPEM clusters were collected from actinomycetes genomes, providing abundant references for phenotypic gaps in gPEM evolution. The most conserved parts of gPEM biosynthesis were found and used for phylogeny construction. On this basis, we proposed ancestral gPEM clusters at different evolutionary stages and interpreted the possible evolutionary histories in detail. The results revealed that gPEMs evolved from small rings to large rings and continuously increased structural diversity through acquiring, discarding and exchanging genes from different evolutionary origins, as well as co-evolution of functionally related proteins. The combination of horizontal gene transfers, environmental effects and host preference resulted in the diversity and worldwide distribution of gPEMs. This study is not only a useful exploration on antibiotic evolution but also an inspiration for diversity and biogeographic investigations on antibiotics in the era of Big Data.
引用
收藏
页码:239 / 247
页数:9
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