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Rates and mechanisms of bacterial mutagenesis from maximum-depth sequencing

Author

Listed:
  • Justin Jee

    (New York University School of Medicine
    Courant Institute of Mathematical Sciences, New York University)

  • Aviram Rasouly

    (New York University School of Medicine
    Howard Hughes Medical Institute, New York University School of Medicine)

  • Ilya Shamovsky

    (New York University School of Medicine)

  • Yonatan Akivis

    (New York University School of Medicine)

  • Susan R. Steinman

    (New York University School of Medicine)

  • Bud Mishra

    (Courant Institute of Mathematical Sciences, New York University)

  • Evgeny Nudler

    (New York University School of Medicine
    Howard Hughes Medical Institute, New York University School of Medicine)

Abstract

Maximum-depth sequencing (MDS), a new method of detecting extremely rare variants within a bacterial population, is used to show that mutation rates in Escherichia coli vary across the genome by at least an order of magnitude, and also to uncover mechanisms of antibiotic-induced mutagenesis.

Suggested Citation

  • Justin Jee & Aviram Rasouly & Ilya Shamovsky & Yonatan Akivis & Susan R. Steinman & Bud Mishra & Evgeny Nudler, 2016. "Rates and mechanisms of bacterial mutagenesis from maximum-depth sequencing," Nature, Nature, vol. 534(7609), pages 693-696, June.
    • Handle: RePEc:nat:nature:v:534:y:2016:i:7609:d:10.1038_nature18313
    DOI: 10.1038/nature18313
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    Cited by:

    1. Chencheng Qin & Yi Yang & Xiaodong Wu & Long Chen & Zhaoli Liu & Lin Tang & Lai Lyu & Danlian Huang & Dongbo Wang & Chang Zhang & Xingzhong Yuan & Wen Liu & Hou Wang, 2023. "Twistedly hydrophobic basis with suitable aromatic metrics in covalent organic networks govern micropollutant decontamination," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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