Optimization of genome shuffling for high-yield production of the antitumor deacetylmycoepoxydiene in an endophytic fungus of mangrove plants

doi:10.1007/s00253-016-7457-0

QIBEBT-IR > 酶工程研究组

	Optimization of genome shuffling for high-yield production of the antitumor deacetylmycoepoxydiene in an endophytic fungus of mangrove plants
	Wang, Mingzi 1; Zhang, Wei 2; Xu, Weikai 3; Shen, Yuemao 4; Du, Liangcheng 5
	2016-09-01
发表期刊	APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
卷号	100 期号:17 页码:7491-7498
摘要	As an accelerated evolutionary tool, genome shuffling is largely dependent on the high fusion frequency of different parental protoplasts. However, it was unclear how many types of parental protoplasts would afford the highest fusion frequency. Here, we applied the Monte Carlo method to simulate the simplified processes of protoplast fusion, to achieve maximal useful fusions in genome shuffling. The basic principle of this simulation is that valid fusions would take place when the minimum distance between two different types of parent protoplasts is smaller than that between two of the same types. Accordingly, simulations indicated that the highest fusion frequency would be achieved from eight to 12 different parental protoplasts. Based on the simulation results, eight parental protoplasts of the fungal endophyte Phomopsis sp. A123 were subjected to genome shuffling for yield improvement of deacetylmycoepoxydiene (DAM), an antitumor natural product with a novel chemical structure. After only two rounds of genome shuffling, four high-yield DAM-producing strains, namely G2-119, G2-448, G2-866, and G2-919, were obtained with the aid of activity screening and HPLC analysis. The results showed that the DAM yield in these four strains were 243-, 241-, 225-, and 275-fold, respectively, higher than that of the starting strain A123. This is the first time Monte Carlo simulation is introduced into the field of cell fusion and is also the first report on the optimization of genome shuffling focusing on the number of parental types in protoplast fusions.
文章类型	Article
关键词	Genome Shuffling Simulation Natural Product Fungal Endophyte Phomopsis Sp.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
DOI	10.1007/s00253-016-7457-0
关键词[WOS]	IMPROVED ACID TOLERANCE ; STREPTOMYCES-PRISTINAESPIRALIS ; PROTOPLAST FUSION ; MYCOEPOXYDIENE ; LACTOBACILLUS ; PRISTINAMYCIN ; DERIVATIVES ; MUTAGENESIS ; IMPROVEMENT ; STRAINS
收录类别	SCI
语种	英语
WOS研究方向	Biotechnology & Applied Microbiology
项目资助者	National Natural Science Foundation of China(31070053 ; Program for Changjiang Scholars and Innovative Research Team in University(IRT13028) ; 31329005)
WOS类目	Biotechnology & Applied Microbiology
WOS记录号	WOS:000381583400012
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qibebt.ac.cn/handle/337004/8501
专题	酶工程研究组
作者单位	1.Fujian Normal Univ, Coll Life Sci, Engn Res Ctr Ind Microbiol, Minist Educ, Fuzhou 350117, Fujian, Peoples R China 2.Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao 266101, Shandong, Peoples R China 3.Xiamen Univ, Dept Commun Engn, Xiamen 361005, Fujian, Peoples R China 4.Xiamen Univ, Sch Life Sci, Xiamen 361005, Fujian, Peoples R China 5.Univ Nebraska, Dept Chem, Lincoln, NE 68588 USA
推荐引用方式 GB/T 7714	Wang, Mingzi,Zhang, Wei,Xu, Weikai,et al. Optimization of genome shuffling for high-yield production of the antitumor deacetylmycoepoxydiene in an endophytic fungus of mangrove plants[J]. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY,2016,100(17):7491-7498.
APA	Wang, Mingzi,Zhang, Wei,Xu, Weikai,Shen, Yuemao,&Du, Liangcheng.(2016).Optimization of genome shuffling for high-yield production of the antitumor deacetylmycoepoxydiene in an endophytic fungus of mangrove plants.APPLIED MICROBIOLOGY AND BIOTECHNOLOGY,100(17),7491-7498.
MLA	Wang, Mingzi,et al."Optimization of genome shuffling for high-yield production of the antitumor deacetylmycoepoxydiene in an endophytic fungus of mangrove plants".APPLIED MICROBIOLOGY AND BIOTECHNOLOGY 100.17(2016):7491-7498.