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Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis
Bacillus subtilis combines natural competence for genetic transformation with highly efficient homologous recombination. These features allow using vectors that integrate into the genome via double homologous recombination. So far, their utilization is restricted by the fixed combination of resistan...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658365/ https://www.ncbi.nlm.nih.gov/pubmed/29074996 http://dx.doi.org/10.1038/s41598-017-14329-5 |
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author | Radeck, Jara Meyer, Daniel Lautenschläger, Nina Mascher, Thorsten |
author_facet | Radeck, Jara Meyer, Daniel Lautenschläger, Nina Mascher, Thorsten |
author_sort | Radeck, Jara |
collection | PubMed |
description | Bacillus subtilis combines natural competence for genetic transformation with highly efficient homologous recombination. These features allow using vectors that integrate into the genome via double homologous recombination. So far, their utilization is restricted by the fixed combination of resistance markers and integration loci, as well as species- or strain-specific regions of homology. To overcome these limitations, we developed a toolbox for the creation of personalized Bacillus vectors in a standardized manner with a focus on fast and easy adaptation of the sequences specifying the integration loci. We based our vector toolkit on the Standard European Vector Architecture (SEVA) to allow the usage of their vector parts. The Bacillus SEVA siblings are assembled via efficient one-pot Golden Gate reactions from four entry parts with the choice of four different enzymes. The toolbox contains seven Bacillus resistance markers, two Escherichia coli origins of replication, and a free choice of integration loci. Vectors can be customized with a cargo, before or after vector assembly, and could be used in different B. subtilis strains and potentially beyond. Our adaptation of the SEVA-standard provides a powerful and standardized toolkit for the convenient creation of personalized Bacillus vectors. |
format | Online Article Text |
id | pubmed-5658365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56583652017-10-31 Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis Radeck, Jara Meyer, Daniel Lautenschläger, Nina Mascher, Thorsten Sci Rep Article Bacillus subtilis combines natural competence for genetic transformation with highly efficient homologous recombination. These features allow using vectors that integrate into the genome via double homologous recombination. So far, their utilization is restricted by the fixed combination of resistance markers and integration loci, as well as species- or strain-specific regions of homology. To overcome these limitations, we developed a toolbox for the creation of personalized Bacillus vectors in a standardized manner with a focus on fast and easy adaptation of the sequences specifying the integration loci. We based our vector toolkit on the Standard European Vector Architecture (SEVA) to allow the usage of their vector parts. The Bacillus SEVA siblings are assembled via efficient one-pot Golden Gate reactions from four entry parts with the choice of four different enzymes. The toolbox contains seven Bacillus resistance markers, two Escherichia coli origins of replication, and a free choice of integration loci. Vectors can be customized with a cargo, before or after vector assembly, and could be used in different B. subtilis strains and potentially beyond. Our adaptation of the SEVA-standard provides a powerful and standardized toolkit for the convenient creation of personalized Bacillus vectors. Nature Publishing Group UK 2017-10-26 /pmc/articles/PMC5658365/ /pubmed/29074996 http://dx.doi.org/10.1038/s41598-017-14329-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Radeck, Jara Meyer, Daniel Lautenschläger, Nina Mascher, Thorsten Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis |
title | Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis |
title_full | Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis |
title_fullStr | Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis |
title_full_unstemmed | Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis |
title_short | Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis |
title_sort | bacillus seva siblings: a golden gate-based toolbox to create personalized integrative vectors for bacillus subtilis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658365/ https://www.ncbi.nlm.nih.gov/pubmed/29074996 http://dx.doi.org/10.1038/s41598-017-14329-5 |
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