Literature DB >> 23657585

Streptomycin resistance-aided genome shuffling to improve doramectin productivity of Streptomyces avermitilis NEAU1069.

Ji Zhang1, Xiangjing Wang, Jinna Diao, Hairong He, Yuejing Zhang, Wensheng Xiang.   

Abstract

Genome shuffling is an efficient approach for the rapid engineering of microbial strains with desirable industrial phenotypes. In this study, a strategy of incorporating streptomycin resistance screening into genome shuffling (GS-SR) was applied for rapid improvement of doramectin production by Streptomyces avermitilis NEAU1069. The starting mutant population was generated through treatment of the spores with N-methyl-N'-nitro-N-nitrosoguanidine and ultraviolet (UV) irradiation, respectively, and five mutants with higher productivity of doramectin were selected as starting strains for GS-SR. Finally, a genetically stable strain F4-137 was obtained and characterized to be able to yield 992 ± 4.4 mg/l doramectin in a shake flask, which was 7.3-fold and 11.2-fold higher than that of the starting strain UV-45 and initial strain NEAU1069, respectively. The doramectin yield by F4-137 in a 50-l fermentor reached 930.3 ± 3.8 mg/l. Furthermore, the factors associated with the improved doramectin yield were investigated and the results suggested that mutations in ribosomal protein S12 and the enhanced production of cyclohexanecarboxylic coenzyme A may contribute to the improved performance of the shuffled strains. The random amplified polymorphic DNA analysis showed a genetic diversity among the shuffled strains, which confirmed the occurrence of genome shuffling. In conclusion, our results demonstrated that GS-SR is a powerful method for enhancing the production of secondary metabolites in Streptomyces.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23657585     DOI: 10.1007/s10295-013-1280-8

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  39 in total

1.  Genome shuffling leads to rapid phenotypic improvement in bacteria.

Authors:  Ying-Xin Zhang; Kim Perry; Victor A Vinci; Keith Powell; Willem P C Stemmer; Stephen B del Cardayré
Journal:  Nature       Date:  2002-02-07       Impact factor: 49.962

2.  Comparative plasma disposition kinetics of ivermectin, moxidectin and doramectin in cattle.

Authors:  C Lanusse; A Lifschitz; G Virkel; L Alvarez; S Sánchez; J F Sutra; P Galtier; M Alvinerie
Journal:  J Vet Pharmacol Ther       Date:  1997-04       Impact factor: 1.786

3.  Genome shuffling improves production of the low-temperature alkalophilic lipase by Acinetobacter johnsonii.

Authors:  HaiKuan Wang; Jie Zhang; XiaoJie Wang; Wei Qi; YuJie Dai
Journal:  Biotechnol Lett       Date:  2011-10-05       Impact factor: 2.461

4.  A genome shuffling-generated Saccharomyces cerevisiae isolate that ferments xylose and glucose to produce high levels of ethanol.

Authors:  Ge Jingping; Sun Hongbing; Song Gang; Ling Hongzhi; Ping Wenxiang
Journal:  J Ind Microbiol Biotechnol       Date:  2012-01-24       Impact factor: 3.346

5.  New beta-class milbemycin compound from Streptomyces avermitilis NEAU1069: fermentation, isolation and structure elucidation.

Authors:  Ming Wang; Xiao-Hu Yang; Ji-Dong Wang; Xiang-Jing Wang; Zheng-Jie Chen; Wen-Sheng Xiang
Journal:  J Antibiot (Tokyo)       Date:  2009-08-14       Impact factor: 2.649

6.  The combination of glycerol metabolic engineering and drug resistance marker-aided genome shuffling to improve very-high-gravity fermentation performances of industrial Saccharomyces cerevisiae.

Authors:  Pin-Mei Wang; Dao-Qiong Zheng; Tian-Zhe Liu; Xiang-Lin Tao; Ming-Guang Feng; Hang Min; Xin-Hang Jiang; Xue-Chang Wu
Journal:  Bioresour Technol       Date:  2012-01-08       Impact factor: 9.642

7.  Drug resistance marker-aided genome shuffling to improve acetic acid tolerance in Saccharomyces cerevisiae.

Authors:  Dao-Qiong Zheng; Xue-Chang Wu; Pin-Mei Wang; Xiao-Qin Chi; Xiang-Lin Tao; Ping Li; Xin-Hang Jiang; Yu-Hua Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2010-07-22       Impact factor: 3.346

8.  Branched-chain fatty acid requirement for avermectin production by a mutant of Streptomyces avermitilis lacking branched-chain 2-oxo acid dehydrogenase activity.

Authors:  E W Hafner; B W Holley; K S Holdom; S E Lee; R G Wax; D Beck; H A McArthur; W C Wernau
Journal:  J Antibiot (Tokyo)       Date:  1991-03       Impact factor: 2.649

9.  Isolation and identification of novel macrocyclic lactones from Streptomyces avermitilis NEAU1069 with acaricidal and nematocidal activity.

Authors:  Xiang-Jing Wang; Ming Wang; Ji-Dong Wang; Ling Jiang; Ji-Jia Wang; Wen-Sheng Xiang
Journal:  J Agric Food Chem       Date:  2010-03-10       Impact factor: 5.279

10.  Genome shuffling improves degradation of the anthropogenic pesticide pentachlorophenol by Sphingobium chlorophenolicum ATCC 39723.

Authors:  MingHua Dai; Shelley D Copley
Journal:  Appl Environ Microbiol       Date:  2004-04       Impact factor: 4.792

View more
  3 in total

1.  Improved FK506 production by the precursors and product-tolerant mutant of Streptomyces tsukubaensis based on genome shuffling and dynamic fed-batch strategies.

Authors:  Wenjie Du; Di Huang; Menglei Xia; Jianping Wen; Ming Huang
Journal:  J Ind Microbiol Biotechnol       Date:  2014-05-01       Impact factor: 3.346

2.  Morphological and Molecular Differentiation of Sporidiobolus johnsonii ATCC 20490 and Its Coenzyme Q10 Overproducing Mutant Strain UF16.

Authors:  Prafull Ranadive; Alka Mehta; Yashwant Chavan; Anbukayalvizhi Marx; Saji George
Journal:  Indian J Microbiol       Date:  2014-05-01       Impact factor: 2.461

3.  Genome shuffling for improving the activity of alkaline pectinase in Bacillus subtilis FS105 and its molecular mechanism.

Authors:  Ping Yu; Xinxin Wang; Qian Ren; Xingxing Huang; Tingting Yan
Journal:  World J Microbiol Biotechnol       Date:  2019-10-22       Impact factor: 3.312

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.