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Whole-genome sequencing of a laboratory-evolved yeast strain
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Background: Experimental evolution of microbial populations provides a unique opportunity to study evolutionary adaptation in response to controlled selective pressures. However, until recently it has been difficult to identify the precise genetic changes underlying adaptation at a genome-wide scale. New DNA sequencing technologies now allow the genome of parental and evolved strains of microorganisms to be rapidly determined. Results: We sequenced >93.5% of the genome of a laboratory-evolved strain of the yeast Saccharomyces cerevisiae and its ancestor at >28× depth. Both single nucleotide polymorphisms and copy number amplifications were found, with specific gains over array-based methodologies previously used to analyze these genomes. Applying a segmentation algorithm to quantify structural changes, we determined the approximate genomic boundaries of a 5× gene amplification. These boundaries guided the recovery of breakpoint sequences, which provide insights into the nature of a complex genomic rearrangement. Conclusions: This study suggests that whole-genome sequencing can provide a rapid approach to uncover the genetic basis of evolutionary adaptations, with further applications in the study of laboratory selections and mutagenesis screens. In addition, we show how single-end, short read sequencing data can provide detailed information about structural rearrangements, and generate predictions about the genomic features and processes that underlie genome plasticity.
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“Furthermore, changes in enterobactin biosynthetic processes (ent genes) were also observed in independent studies [84,85,91].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [91]
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“In a recent study towards increased n-butanol tolerance in E. coli, a drastic increase in solvent tolerance was rapidly achieved by combining laboratory evolution and genome shuffling of the evolved clones [91].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [91]
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Velvet: Algorithms for de novo short read assembly using de Bruijn graphsPreprint
Zerbino, D. R., & Birney, E. (2008) · Genome Research · doi:10.1101/gr.074492.107 · Cited by 9,587
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Bentley, D. R., Balasubramanian, S., Swerdlow, H. P., Smith, G. P., Milton, J., Brown, C. G., Hall, K. P., Evers, D. J., Barnes, C. L., Bignell, H. R., et al. (2008) · Nature · doi:10.1038/nature07517 · Cited by 3,684
Mapping short DNA sequencing reads and calling variants using mapping quality scores
Li, H., Ruan, J., & Durbin, R. (2008) · Genome Research · doi:10.1101/gr.078212.108 · Cited by 2,638
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Ng, S. B., Turner, E. H., Robertson, P. D., Flygare, S. D., Bigham, A. W., Lee, C., Shaffer, T., Wong, M., Bhattacharjee, A., Eichler, E. E., et al. (2009) · Nature · doi:10.1038/nature08250 · Cited by 2,030
Exome sequencing identifies the cause of a mendelian disorder
Ng, S. B., Buckingham, K. J., Lee, C., Bigham, A. W., Tabor, H. K., Dent, K. M., Huff, C. D., Shannon, P. T., Jabs, E. W., Nickerson, D. A., et al. (2010) · Nature Genetics · doi:10.1038/ng.499 · Cited by 1,957
The complete genome of an individual by massively parallel DNA sequencing
Wheeler, D. A., Srinivasan, M., Egholm, M., Shen, Y., Chen, L., McGuire, A., He, W., Chen, Y.-J., Makhijani, V., Roth, G. T., et al. (2008) · Nature · doi:10.1038/nature06884 · Cited by 1,838
Population genomics of domestic and wild yeastsPreprint
Liti, G., Carter, D. M., Moses, A. M., Warringer, J., Parts, L., James, S. A., Davey, R., Roberts, I. N., Burt, A., Koufopanou, V., et al. (2008) · Nature Precedings · doi:10.1038/nature07743 · Cited by 1,454
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Shendure, J., Porreca, G. J., Reppas, N. B., Lin, X., McCutcheon, J. P., Rosenbaum, A. M., Wang, M. D., Zhang, K., Mitra, R. D., & Church, G. M. (2005) · Science · doi:10.1126/science.1117389 · Cited by 1,402
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Venkatraman, E. S., & Olshen, A. B. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btl646 · Cited by 963
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Metadata
- Authors
- Araya, C. L., Payen, C., Dunham, M. J., & Fields, S.
- Affiliations
- University of Washington (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Fields, Stanley
- Venue
- BMC Genomics
- Published
- 2010-02-03
- Volume
- 11
- Issue
- 1
- Pages
- 88-88
- ISSN
- 1471-2164 (ISSN-L)
- PMC
- PMC2829512
- OpenAlex
- W2162383089
- Cited by
- 113
- References
- 37
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 21 · 2023: 3 · 2022: 4 · 2021: 1 · 2020: 3 · 2019: 3 · 2018: 2 · 2017: 8 · 2016: 6 · 2015: 10 · 2014: 9 · 2013: 10 · 2012: 10
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Genomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- experimental evolution, Saccharomyces cerevisiae, single nucleotide polymorphisms, copy number amplification, gene amplification, genome rearrangement, genome plasticity, structural variants, mutagenesis screen
- MeSH terms
- Algorithms, DNA, Fungal, Saccharomyces cerevisiae, Genomic Library, Genome, Fungal, Point Mutation, Sequence Analysis, DNA, Gene Dosage, Evolution, Molecular, Polymorphism, Single Nucleotide, Chromosome Breakpoints
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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