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Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications
Recent advances in lower-cost DNA synthesis techniques have enabled new innovations in the field of synthetic biology. Still, efficient design and higher-order assembly of genome-scale DNA constructs remains a labor-intensive process. Given the complexity, computer assisted design tools that fragmen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439662/ https://www.ncbi.nlm.nih.gov/pubmed/28531174 http://dx.doi.org/10.1371/journal.pone.0177234 |
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author | Christen, Matthias Del Medico, Luca Christen, Heinz Christen, Beat |
author_facet | Christen, Matthias Del Medico, Luca Christen, Heinz Christen, Beat |
author_sort | Christen, Matthias |
collection | PubMed |
description | Recent advances in lower-cost DNA synthesis techniques have enabled new innovations in the field of synthetic biology. Still, efficient design and higher-order assembly of genome-scale DNA constructs remains a labor-intensive process. Given the complexity, computer assisted design tools that fragment large DNA sequences into fabricable DNA blocks are needed to pave the way towards streamlined assembly of biological systems. Here, we present the Genome Partitioner software implemented as a web-based interface that permits multi-level partitioning of genome-scale DNA designs. Without the need for specialized computing skills, biologists can submit their DNA designs to a fully automated pipeline that generates the optimal retrosynthetic route for higher-order DNA assembly. To test the algorithm, we partitioned a 783 kb Caulobacter crescentus genome design. We validated the partitioning strategy by assembling a 20 kb test segment encompassing a difficult to synthesize DNA sequence. Successful assembly from 1 kb subblocks into the 20 kb segment highlights the effectiveness of the Genome Partitioner for reducing synthesis costs and timelines for higher-order DNA assembly. The Genome Partitioner is broadly applicable to translate DNA designs into ready to order sequences that can be assembled with standardized protocols, thus offering new opportunities to harness the diversity of microbial genomes for synthetic biology applications. The Genome Partitioner web tool can be accessed at https://christenlab.ethz.ch/GenomePartitioner. |
format | Online Article Text |
id | pubmed-5439662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54396622017-06-06 Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications Christen, Matthias Del Medico, Luca Christen, Heinz Christen, Beat PLoS One Research Article Recent advances in lower-cost DNA synthesis techniques have enabled new innovations in the field of synthetic biology. Still, efficient design and higher-order assembly of genome-scale DNA constructs remains a labor-intensive process. Given the complexity, computer assisted design tools that fragment large DNA sequences into fabricable DNA blocks are needed to pave the way towards streamlined assembly of biological systems. Here, we present the Genome Partitioner software implemented as a web-based interface that permits multi-level partitioning of genome-scale DNA designs. Without the need for specialized computing skills, biologists can submit their DNA designs to a fully automated pipeline that generates the optimal retrosynthetic route for higher-order DNA assembly. To test the algorithm, we partitioned a 783 kb Caulobacter crescentus genome design. We validated the partitioning strategy by assembling a 20 kb test segment encompassing a difficult to synthesize DNA sequence. Successful assembly from 1 kb subblocks into the 20 kb segment highlights the effectiveness of the Genome Partitioner for reducing synthesis costs and timelines for higher-order DNA assembly. The Genome Partitioner is broadly applicable to translate DNA designs into ready to order sequences that can be assembled with standardized protocols, thus offering new opportunities to harness the diversity of microbial genomes for synthetic biology applications. The Genome Partitioner web tool can be accessed at https://christenlab.ethz.ch/GenomePartitioner. Public Library of Science 2017-05-22 /pmc/articles/PMC5439662/ /pubmed/28531174 http://dx.doi.org/10.1371/journal.pone.0177234 Text en © 2017 Christen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Christen, Matthias Del Medico, Luca Christen, Heinz Christen, Beat Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications |
title | Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications |
title_full | Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications |
title_fullStr | Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications |
title_full_unstemmed | Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications |
title_short | Genome Partitioner: A web tool for multi-level partitioning of large-scale DNA constructs for synthetic biology applications |
title_sort | genome partitioner: a web tool for multi-level partitioning of large-scale dna constructs for synthetic biology applications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439662/ https://www.ncbi.nlm.nih.gov/pubmed/28531174 http://dx.doi.org/10.1371/journal.pone.0177234 |
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