Literature DB >> 34939159

Efficient de novo assembly and modification of large DNA fragments.

Shuangying Jiang1, Yuanwei Tang1, Liang Xiang1, Xinlu Zhu1, Zelin Cai1,2, Ling Li1, Yingxi Chen1, Peishuang Chen1, Yuge Feng1,2, Xin Lin1, Guoqiang Li1, Jafar Sharif3, Junbiao Dai4,5.   

Abstract

Synthetic genomics has provided new bottom-up platforms for the functional study of viral and microbial genomes. The construction of the large, gigabase (Gb)-sized genomes of higher organisms will deepen our understanding of genetic blueprints significantly. But for the synthesis and assembly of such large-scale genomes, the development of new or expanded methods is required. In this study, we develop an efficient pipeline for the construction of large DNA fragments sized 100 kilobases (kb) or above from scratches and describe an efficient method for "scar-free" engineering of the assembled sequences. Our method, therefore, should provide a standard framework for producing long DNA molecules, which are critical materials for synthetic genomics and metabolic engineering.
© 2021. Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  DNA assembly; DNA synthesis; Synthetic Biology; budding yeast; large DNA fragments; sequence modification

Mesh:

Substances:

Year:  2021        PMID: 34939159     DOI: 10.1007/s11427-021-2029-0

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   10.372


  1 in total

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Authors:  David M Brown; Yujia A Chan; Prashant J Desai; Peter Grzesik; Lauren M Oldfield; Sanjay Vashee; Jeffrey C Way; Pamela A Silver; John I Glass
Journal:  Nucleic Acids Res       Date:  2017-04-20       Impact factor: 16.971

  1 in total
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1.  Studying bona fide SARS-CoV-2 biology in a BSL-2 biosafety environment using a split-virus-genome system.

Authors:  Yingxin Ma; Guobin Mao; Weishan Yang; Guoqiang Wu; Guoqiang Li; Xiaoying Li; Xin Lin; Junnan Lu; Shijun Zhao; Wei Zhao; Junbiao Dai; Xian-En Zhang
Journal:  Sci China Life Sci       Date:  2022-05-12       Impact factor: 10.372

  1 in total

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