The dynamics of genome replication using deep sequencing
Eukaryotic genomes are replicated from multiple DNA replication origins. We present complementary deep sequencing approaches to measure origin location and activity in Saccharomyces cerevisiae. Measuring the increase in DNA copy number during a synchronous S-phase allowed the precise determination o...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
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Oxford University Press
2014
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| Online Access: | https://eprints.nottingham.ac.uk/2524/ |
| _version_ | 1848790807290576896 |
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| author | Müller, Carolin A. Hawkins, Michelle Retkute, Renata Malla, Sunir Wilson, Ray Blythe, Martin J. Nakato, Ryuichiro Komata, Makiko Shirahige, Katsuhiko de Moura, Alessandro P.S. Nieduszynski, Conrad A. |
| author_facet | Müller, Carolin A. Hawkins, Michelle Retkute, Renata Malla, Sunir Wilson, Ray Blythe, Martin J. Nakato, Ryuichiro Komata, Makiko Shirahige, Katsuhiko de Moura, Alessandro P.S. Nieduszynski, Conrad A. |
| author_sort | Müller, Carolin A. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Eukaryotic genomes are replicated from multiple DNA replication origins. We present complementary deep sequencing approaches to measure origin location and activity in Saccharomyces cerevisiae. Measuring the increase in DNA copy number during a synchronous S-phase allowed the precise determination of genome replication. To map origin locations, replication forks were stalled close to their initiation sites; therefore, copy number enrichment was limited to origins. Replication timing profiles were generated from asynchronous cultures using fluorescence-activated cell sorting. Applying this technique we show that the replication profiles of haploid and diploid cells are indistinguishable, indicating that both cell types use the same cohort of origins with the same activities. Finally, increasing sequencing depth allowed the direct measure of replication dynamics from an exponentially growing culture. This is the first time this approach, called marker frequency analysis, has been successfully applied to a eukaryote. These data provide a high-resolution resource and methodological framework for studying genome biology. |
| first_indexed | 2025-11-14T18:18:29Z |
| format | Article |
| id | nottingham-2524 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:18:29Z |
| publishDate | 2014 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-25242020-05-04T20:15:48Z https://eprints.nottingham.ac.uk/2524/ The dynamics of genome replication using deep sequencing Müller, Carolin A. Hawkins, Michelle Retkute, Renata Malla, Sunir Wilson, Ray Blythe, Martin J. Nakato, Ryuichiro Komata, Makiko Shirahige, Katsuhiko de Moura, Alessandro P.S. Nieduszynski, Conrad A. Eukaryotic genomes are replicated from multiple DNA replication origins. We present complementary deep sequencing approaches to measure origin location and activity in Saccharomyces cerevisiae. Measuring the increase in DNA copy number during a synchronous S-phase allowed the precise determination of genome replication. To map origin locations, replication forks were stalled close to their initiation sites; therefore, copy number enrichment was limited to origins. Replication timing profiles were generated from asynchronous cultures using fluorescence-activated cell sorting. Applying this technique we show that the replication profiles of haploid and diploid cells are indistinguishable, indicating that both cell types use the same cohort of origins with the same activities. Finally, increasing sequencing depth allowed the direct measure of replication dynamics from an exponentially growing culture. This is the first time this approach, called marker frequency analysis, has been successfully applied to a eukaryote. These data provide a high-resolution resource and methodological framework for studying genome biology. Oxford University Press 2014-01 Article PeerReviewed Müller, Carolin A., Hawkins, Michelle, Retkute, Renata, Malla, Sunir, Wilson, Ray, Blythe, Martin J., Nakato, Ryuichiro, Komata, Makiko, Shirahige, Katsuhiko, de Moura, Alessandro P.S. and Nieduszynski, Conrad A. (2014) The dynamics of genome replication using deep sequencing. Nucleic Acids Research, 42 (1). e3/1-e3/11. ISSN 0305-1048 http://nar.oxfordjournals.org/content/42/1/e3.long doi:10.1093/nar/gkt878 doi:10.1093/nar/gkt878 |
| spellingShingle | Müller, Carolin A. Hawkins, Michelle Retkute, Renata Malla, Sunir Wilson, Ray Blythe, Martin J. Nakato, Ryuichiro Komata, Makiko Shirahige, Katsuhiko de Moura, Alessandro P.S. Nieduszynski, Conrad A. The dynamics of genome replication using deep sequencing |
| title | The dynamics of genome replication using deep sequencing |
| title_full | The dynamics of genome replication using deep sequencing |
| title_fullStr | The dynamics of genome replication using deep sequencing |
| title_full_unstemmed | The dynamics of genome replication using deep sequencing |
| title_short | The dynamics of genome replication using deep sequencing |
| title_sort | dynamics of genome replication using deep sequencing |
| url | https://eprints.nottingham.ac.uk/2524/ https://eprints.nottingham.ac.uk/2524/ https://eprints.nottingham.ac.uk/2524/ |