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High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast
DNA replication origins are necessary for the duplication of genomes. In addition, plasmid-based expression systems require DNA replication origins to maintain plasmids efficiently. The yeast autonomously replicating sequence (ARS) assay has been a valuable tool in dissecting replication origin stru...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613586/ https://www.ncbi.nlm.nih.gov/pubmed/23241746 http://dx.doi.org/10.1101/gr.144659.112 |
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author | Liachko, Ivan Youngblood, Rachel A. Keich, Uri Dunham, Maitreya J. |
author_facet | Liachko, Ivan Youngblood, Rachel A. Keich, Uri Dunham, Maitreya J. |
author_sort | Liachko, Ivan |
collection | PubMed |
description | DNA replication origins are necessary for the duplication of genomes. In addition, plasmid-based expression systems require DNA replication origins to maintain plasmids efficiently. The yeast autonomously replicating sequence (ARS) assay has been a valuable tool in dissecting replication origin structure and function. However, the dearth of information on origins in diverse yeasts limits the availability of efficient replication origin modules to only a handful of species and restricts our understanding of origin function and evolution. To enable rapid study of origins, we have developed a sequencing-based suite of methods for comprehensively mapping and characterizing ARSs within a yeast genome. Our approach finely maps genomic inserts capable of supporting plasmid replication and uses massively parallel deep mutational scanning to define molecular determinants of ARS function with single-nucleotide resolution. In addition to providing unprecedented detail into origin structure, our data have allowed us to design short, synthetic DNA sequences that retain maximal ARS function. These methods can be readily applied to understand and modulate ARS function in diverse systems. |
format | Online Article Text |
id | pubmed-3613586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36135862013-04-03 High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast Liachko, Ivan Youngblood, Rachel A. Keich, Uri Dunham, Maitreya J. Genome Res Method DNA replication origins are necessary for the duplication of genomes. In addition, plasmid-based expression systems require DNA replication origins to maintain plasmids efficiently. The yeast autonomously replicating sequence (ARS) assay has been a valuable tool in dissecting replication origin structure and function. However, the dearth of information on origins in diverse yeasts limits the availability of efficient replication origin modules to only a handful of species and restricts our understanding of origin function and evolution. To enable rapid study of origins, we have developed a sequencing-based suite of methods for comprehensively mapping and characterizing ARSs within a yeast genome. Our approach finely maps genomic inserts capable of supporting plasmid replication and uses massively parallel deep mutational scanning to define molecular determinants of ARS function with single-nucleotide resolution. In addition to providing unprecedented detail into origin structure, our data have allowed us to design short, synthetic DNA sequences that retain maximal ARS function. These methods can be readily applied to understand and modulate ARS function in diverse systems. Cold Spring Harbor Laboratory Press 2013-04 /pmc/articles/PMC3613586/ /pubmed/23241746 http://dx.doi.org/10.1101/gr.144659.112 Text en © 2013, Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported License), as described at http://creativecommons.org/licenses/by-nc/3.0/. |
spellingShingle | Method Liachko, Ivan Youngblood, Rachel A. Keich, Uri Dunham, Maitreya J. High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast |
title | High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast |
title_full | High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast |
title_fullStr | High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast |
title_full_unstemmed | High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast |
title_short | High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast |
title_sort | high-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613586/ https://www.ncbi.nlm.nih.gov/pubmed/23241746 http://dx.doi.org/10.1101/gr.144659.112 |
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