Literature DB >> 30335370

Comprehensive Profiling of Four Base Overhang Ligation Fidelity by T4 DNA Ligase and Application to DNA Assembly.

Vladimir Potapov1, Jennifer L Ong1, Rebecca B Kucera2, Bradley W Langhorst2, Katharina Bilotti1, John M Pryor1, Eric J Cantor2, Barry Canton3, Thomas F Knight3, Thomas C Evans1, Gregory J S Lohman1.   

Abstract

Synthetic biology relies on the manufacture of large and complex DNA constructs from libraries of genetic parts. Golden Gate and other Type IIS restriction enzyme-dependent DNA assembly methods enable rapid construction of genes and operons through one-pot, multifragment assembly, with the ordering of parts determined by the ligation of Watson-Crick base-paired overhangs. However, ligation of mismatched overhangs leads to erroneous assembly, and low-efficiency Watson Crick pairings can lead to truncated assemblies. Using sets of empirically vetted, high-accuracy junction pairs avoids this issue but limits the number of parts that can be joined in a single reaction. Here, we report the use of comprehensive end-joining ligation fidelity and bias data to predict high accuracy junction sets for Golden Gate assembly. The ligation profile accurately predicted junction fidelity in ten-fragment Golden Gate assembly reactions and enabled accurate and efficient assembly of a lac cassette from up to 24-fragments in a single reaction.

Keywords:  DNA assembly; DNA ligase fidelity; DNA ligases; Golden Gate assembly; single-molecule sequencing

Mesh:

Substances:

Year:  2018        PMID: 30335370     DOI: 10.1021/acssynbio.8b00333

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  28 in total

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4.  Rapid 40 kb Genome Construction from 52 Parts through Data-optimized Assembly Design.

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Authors:  Pascal Püllmann; Chris Ulpinnis; Sylvestre Marillonnet; Ramona Gruetzner; Steffen Neumann; Martin J Weissenborn
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

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Journal:  Nat Biotechnol       Date:  2019-07-22       Impact factor: 54.908

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