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Parallel changes in gene essentiality over 50,000 generations of evolution

View ORCID ProfileAnurag Limdi, View ORCID ProfileSiân V. Owen, View ORCID ProfileCristina Herren, View ORCID ProfileRichard E. Lenski, View ORCID ProfileMichael Baym
doi: https://doi.org/10.1101/2022.05.17.492023
Anurag Limdi
1Department of Biomedical Informatics and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA
2Molecules, Cells, and Organisms Graduate Program, Harvard University, Cambridge, Massachusetts 02138, USA
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  • ORCID record for Anurag Limdi
Siân V. Owen
1Department of Biomedical Informatics and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA
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Cristina Herren
1Department of Biomedical Informatics and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA
3Harvard Data Science Initiative, Harvard University, Boston, Massachusetts 02115, USA
4Department of Marine and Environmental Sciences, Northeastern University, Boston, Massachusetts 02115, USA
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Richard E. Lenski
5Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan 48824, USA
6Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan 48824, USA
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Michael Baym
1Department of Biomedical Informatics and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA
3Harvard Data Science Initiative, Harvard University, Boston, Massachusetts 02115, USA
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  • For correspondence: baym@hms.harvard.edu
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  • https://github.com/baymlab/2022_Limdi-TnSeq-LTEE

  • https://doi.org/10.5281/zenodo.6547536

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Posted May 17, 2022.
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Parallel changes in gene essentiality over 50,000 generations of evolution
Anurag Limdi, Siân V. Owen, Cristina Herren, Richard E. Lenski, Michael Baym
bioRxiv 2022.05.17.492023; doi: https://doi.org/10.1101/2022.05.17.492023
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Parallel changes in gene essentiality over 50,000 generations of evolution
Anurag Limdi, Siân V. Owen, Cristina Herren, Richard E. Lenski, Michael Baym
bioRxiv 2022.05.17.492023; doi: https://doi.org/10.1101/2022.05.17.492023

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