five

Overcoming the Challenges of Megabase-Sized Plasmid Construction in Escherichia coli

收藏
Figshare2020-05-27 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Overcoming_the_Challenges_of_Megabase-Sized_Plasmid_Construction_in_i_Escherichia_coli_i_/12456281
下载链接
链接失效反馈
官方服务:
资源简介:
Although Escherichia coli has been a popular tool for plasmid construction, this bacterium was believed to be “unsuitable” for constructing a large plasmid whose size exceeds 500 kilobases. We assumed that traditional plasmid vectors may lack some regulatory DNA elements required for the stable replication and segregation of such a large plasmid. In addition, the use of a few site-specific recombination systems may facilitate cloning of large DNA segments. Here we show two strategies for constructing 1-megabase (1-Mb) secondary chromosomes by using new bacterial artificial chromosome (BAC) vectors. First, the 3-Mb genome of a genome-reduced E. coli strain was split into two chromosomes (2-Mb and 1-Mb), of which the smaller one has the origin of replication and the partitioning locus of the Vibrio tubiashii secondary chromosome. This chromosome fission method (Flp-POP cloning) works via flippase-mediated excision, which coincides with the reassembly of a split chloramphenicol resistance gene, allowing chloramphenicol selection. Next, we developed a new cloning method (oriT-POP cloning) and a fully equipped BAC vector (pMegaBAC1H) for developing a 1-Mb plasmid. Two 0.5-Mb genomic regions were sequentially transferred from two donor strains to a recipient strain via conjugation and captured by pMegaBAC1H in the recipient strain to produce a 1-Mb plasmid. This 1-Mb plasmid was transmissible to another E. coli strain via conjugation. Furthermore, these 1-Mb secondary chromosomes were amplifiable in vitro by using the reconstituted E. coli chromosome replication cycle reaction (RCR). These strategies and technologies would make popular E. coli cells a productive factory for designer chromosome engineering.
创建时间:
2020-05-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作