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Engineered yeast genomes accurately assembled from pure and mixed samples
Yeast whole genome sequencing (WGS) lacks end-to-end workflows that identify genetic engineering. Here we present Prymetime, a tool that assembles yeast plasmids and chromosomes and annotates genetic engineering sequences. It is a hybrid workflow—it uses short and long reads as inputs to perform sep...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935868/ https://www.ncbi.nlm.nih.gov/pubmed/33674578 http://dx.doi.org/10.1038/s41467-021-21656-9 |
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author | Collins, Joseph H. Keating, Kevin W. Jones, Trent R. Balaji, Shravani Marsan, Celeste B. Çomo, Marina Newlon, Zachary J. Mitchell, Tom Bartley, Bryan Adler, Aaron Roehner, Nicholas Young, Eric M. |
author_facet | Collins, Joseph H. Keating, Kevin W. Jones, Trent R. Balaji, Shravani Marsan, Celeste B. Çomo, Marina Newlon, Zachary J. Mitchell, Tom Bartley, Bryan Adler, Aaron Roehner, Nicholas Young, Eric M. |
author_sort | Collins, Joseph H. |
collection | PubMed |
description | Yeast whole genome sequencing (WGS) lacks end-to-end workflows that identify genetic engineering. Here we present Prymetime, a tool that assembles yeast plasmids and chromosomes and annotates genetic engineering sequences. It is a hybrid workflow—it uses short and long reads as inputs to perform separate linear and circular assembly steps. This structure is necessary to accurately resolve genetic engineering sequences in plasmids and the genome. We show this by assembling diverse engineered yeasts, in some cases revealing unintended deletions and integrations. Furthermore, the resulting whole genomes are high quality, although the underlying assembly software does not consistently resolve highly repetitive genome features. Finally, we assemble plasmids and genome integrations from metagenomic sequencing, even with 1 engineered cell in 1000. This work is a blueprint for building WGS workflows and establishes WGS-based identification of yeast genetic engineering. |
format | Online Article Text |
id | pubmed-7935868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79358682021-03-21 Engineered yeast genomes accurately assembled from pure and mixed samples Collins, Joseph H. Keating, Kevin W. Jones, Trent R. Balaji, Shravani Marsan, Celeste B. Çomo, Marina Newlon, Zachary J. Mitchell, Tom Bartley, Bryan Adler, Aaron Roehner, Nicholas Young, Eric M. Nat Commun Article Yeast whole genome sequencing (WGS) lacks end-to-end workflows that identify genetic engineering. Here we present Prymetime, a tool that assembles yeast plasmids and chromosomes and annotates genetic engineering sequences. It is a hybrid workflow—it uses short and long reads as inputs to perform separate linear and circular assembly steps. This structure is necessary to accurately resolve genetic engineering sequences in plasmids and the genome. We show this by assembling diverse engineered yeasts, in some cases revealing unintended deletions and integrations. Furthermore, the resulting whole genomes are high quality, although the underlying assembly software does not consistently resolve highly repetitive genome features. Finally, we assemble plasmids and genome integrations from metagenomic sequencing, even with 1 engineered cell in 1000. This work is a blueprint for building WGS workflows and establishes WGS-based identification of yeast genetic engineering. Nature Publishing Group UK 2021-03-05 /pmc/articles/PMC7935868/ /pubmed/33674578 http://dx.doi.org/10.1038/s41467-021-21656-9 Text en © The Author(s) 2021 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 Collins, Joseph H. Keating, Kevin W. Jones, Trent R. Balaji, Shravani Marsan, Celeste B. Çomo, Marina Newlon, Zachary J. Mitchell, Tom Bartley, Bryan Adler, Aaron Roehner, Nicholas Young, Eric M. Engineered yeast genomes accurately assembled from pure and mixed samples |
title | Engineered yeast genomes accurately assembled from pure and mixed samples |
title_full | Engineered yeast genomes accurately assembled from pure and mixed samples |
title_fullStr | Engineered yeast genomes accurately assembled from pure and mixed samples |
title_full_unstemmed | Engineered yeast genomes accurately assembled from pure and mixed samples |
title_short | Engineered yeast genomes accurately assembled from pure and mixed samples |
title_sort | engineered yeast genomes accurately assembled from pure and mixed samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935868/ https://www.ncbi.nlm.nih.gov/pubmed/33674578 http://dx.doi.org/10.1038/s41467-021-21656-9 |
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