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相关概念视频

Conservative Site-specific Recombination and Phase Variation02:53

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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
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相关实验视频

Updated: Jun 24, 2025

Site-specific Bacterial Chromosome Engineering: ΦC31 Integrase Mediated Cassette Exchange (IMCE)
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优化多副本染色体的整合,以获得稳定的高性能菌株.

Fei Du1, Zijia Li1, Xin Li1

  • 1School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.

Nature chemical biology
|June 10, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用非重复性DNA序列和机器学习的新方法,以优化微生物细胞工厂的基因拷贝数量. 工程菌株显示出增强的生产和遗传稳定性,克服了以前的局限性.

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Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance
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Last Updated: Jun 24, 2025

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科学领域:

  • 合成生物学 合成生物学
  • 代谢工程是代谢工程.
  • 生物技术是生物技术.

背景情况:

  • 微生物细胞工厂的染色体集成可以导致由于重复的DNA序列和同源重组导致遗传不稳定.
  • 为代谢途径优化基因拷贝数量是一个复杂的,耗时的过程.

研究的目的:

  • 开发一种方法来克服遗传不稳定性,并优化工程微生物菌株中的基因拷贝数量.
  • 提高微生物细胞工厂对有价值化合物的生物合成的效率.

主要方法:

  • 使用计算器生成多个非重复编码DNA序列 (CDS) 变体.
  • 开发一种机器学习模型,以确定最佳的基因拷贝数组合.
  • 工程 Yarrowia lipolytica 对于eicosapentaenoic 酸 (EPA) 和埃舍里希亚大肠杆菌用于烯生产.

主要成果:

  • 一种经过工程改造的Yarrowia lipolytica菌株在50升生物反应器中实现了27.5g/L EPA的创纪录标位.
  • 在工程Escherichia coli中观察到烯生产的显著改善.
  • 使用非重复性CDS的所有工程菌株 (Y. lipolytica,E. coli,Saccharomyces cerevisiae) 显示出高遗传稳定性.

结论:

  • 开发的方法有效地提高了微生物细胞工厂中目标化合物的生产.
  • 使用非重复性CDS和机器学习可以确保工程微生物的遗传稳定性.
  • 这种方法为构建高效,稳定的微生物细胞工厂提供了强大的战略.