IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-55012-4.html
   My bibliography  Save this article

Neutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype

Author

Listed:
  • Ayşe Nisan Erdoğan

    (University of British Columbia)

  • Pouria Dasmeh

    (2900 Edouard-Montpetit
    2900 Edouard-Montpetit
    Marburg University)

  • Raymond D. Socha

    (University of British Columbia)

  • John Z. Chen

    (University of British Columbia)

  • Benjamin E. Life

    (University of British Columbia)

  • Rachel Jun

    (University of British Columbia)

  • Linda Kiritchkov

    (University of British Columbia)

  • Dan Kehila

    (University of British Columbia)

  • Adrian W. R. Serohijos

    (2900 Edouard-Montpetit
    2900 Edouard-Montpetit)

  • Nobuhiko Tokuriki

    (University of British Columbia)

Abstract

Heritable phenotypic variation plays a central role in evolution by conferring rapid adaptive capacity to populations. Mechanisms that can explain genetic diversity by describing connections between genotype and organismal fitness have been described. However, the difficulty of acquiring comprehensive data on genotype-phenotype-environment relationships has hindered the efforts to explain how the ubiquitously observed phenotypic variation in populations emerges and is maintained. To address this challenge, we establish an experimental system where we can examine the genotype-phenotype relationships in a controlled environment. We perform long-term experimental evolution on VIM-2 β-lactamase, an antibiotic-resistance enzyme, to explore the conditions that promote the emergence and maintenance of phenotypic variation. We found that evolution in a static environment with low antibiotic concentrations can promote and maintain significant phenotypic variation within populations. Notably, evolution of VIM-2 under selection with a low antibiotic concentration led to variants that conferred resistance to over 100-fold higher antibiotic concentrations than used in selection. A model based on the previously described threshold-like relationship between enzyme phenotype and fitness generated using VIM-2’s all single amino acid variants, sufficiently explains the emergence of standing phenotypic variation under static environmental conditions. Overall, our approach provides a tractable model for studying phenotypic variation and evolvability at the population level.

Suggested Citation

  • Ayşe Nisan Erdoğan & Pouria Dasmeh & Raymond D. Socha & John Z. Chen & Benjamin E. Life & Rachel Jun & Linda Kiritchkov & Dan Kehila & Adrian W. R. Serohijos & Nobuhiko Tokuriki, 2024. "Neutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-55012-4
    DOI: 10.1038/s41467-024-55012-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-55012-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-55012-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. M. Omar Din & Tal Danino & Arthur Prindle & Matt Skalak & Jangir Selimkhanov & Kaitlin Allen & Ellixis Julio & Eta Atolia & Lev S. Tsimring & Sangeeta N. Bhatia & Jeff Hasty, 2016. "Synchronized cycles of bacterial lysis for in vivo delivery," Nature, Nature, vol. 536(7614), pages 81-85, August.
    2. Erik Wistrand-Yuen & Michael Knopp & Karin Hjort & Sanna Koskiniemi & Otto G. Berg & Dan I. Andersson, 2018. "Evolution of high-level resistance during low-level antibiotic exposure," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    3. Olivier Tenaillon & Jeffrey E. Barrick & Noah Ribeck & Daniel E. Deatherage & Jeffrey L. Blanchard & Aurko Dasgupta & Gabriel C. Wu & Sébastien Wielgoss & Stéphane Cruveiller & Claudine Médigue & Domi, 2016. "Tempo and mode of genome evolution in a 50,000-generation experiment," Nature, Nature, vol. 536(7615), pages 165-170, August.
    4. Gordon Rix & Ella J. Watkins-Dulaney & Patrick J. Almhjell & Christina E. Boville & Frances H. Arnold & Chang C. Liu, 2020. "Scalable continuous evolution for the generation of diverse enzyme variants encompassing promiscuous activities," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuhao Chen & Meng Du & Zhen Yuan & Zhiyi Chen & Fei Yan, 2022. "Spatiotemporal control of engineered bacteria to express interferon-γ by focused ultrasound for tumor immunotherapy," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Piaopiao Chen & Jianzhi Zhang, 2024. "The loci of environmental adaptation in a model eukaryote," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Grant M. Landwehr & Jonathan W. Bogart & Carol Magalhaes & Eric G. Hammarlund & Ashty S. Karim & Michael C. Jewett, 2025. "Accelerated enzyme engineering by machine-learning guided cell-free expression," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    4. Yunmin Yang & Binbin Chu & Jiayi Cheng & Jiali Tang & Bin Song & Houyu Wang & Yao He, 2022. "Bacteria eat nanoprobes for aggregation-enhanced imaging and killing diverse microorganisms," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    5. Ryo Mizuuchi & Taro Furubayashi & Norikazu Ichihashi, 2022. "Evolutionary transition from a single RNA replicator to a multiple replicator network," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    6. Candice R. Gurbatri & Georgette A. Radford & Laura Vrbanac & Jongwon Im & Elaine M. Thomas & Courtney Coker & Samuel R. Taylor & YoungUk Jang & Ayelet Sivan & Kyu Rhee & Anas A. Saleh & Tiffany Chien , 2024. "Engineering tumor-colonizing E. coli Nissle 1917 for detection and treatment of colorectal neoplasia," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    7. Lucas Henrion & Juan Andres Martinez & Vincent Vandenbroucke & Mathéo Delvenne & Samuel Telek & Andrew Zicler & Alexander Grünberger & Frank Delvigne, 2023. "Fitness cost associated with cell phenotypic switching drives population diversification dynamics and controllability," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    8. Anna-Maria Makri Pistikou & Glenn A. O. Cremers & Bryan L. Nathalia & Theodorus J. Meuleman & Bas W. A. Bögels & Bruno V. Eijkens & Anne Dreu & Maarten T. H. Bezembinder & Oscar M. J. A. Stassen & Car, 2023. "Engineering a scalable and orthogonal platform for synthetic communication in mammalian cells," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    9. Claas Kirchhelle, 2023. "The Antibiocene – towards an eco-social analysis of humanity’s antimicrobial footprint," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    10. Betz, Ulrich A.K. & Arora, Loukik & Assal, Reem A. & Azevedo, Hatylas & Baldwin, Jeremy & Becker, Michael S. & Bostock, Stefan & Cheng, Vinton & Egle, Tobias & Ferrari, Nicola & Schneider-Futschik, El, 2023. "Game changers in science and technology - now and beyond," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    11. Enrico Orsi & Lennart Schada von Borzyskowski & Stephan Noack & Pablo I. Nikel & Steffen N. Lindner, 2024. "Automated in vivo enzyme engineering accelerates biocatalyst optimization," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    12. Jung Hun Park & Gábor Holló & Yolanda Schaerli, 2024. "From resonance to chaos by modulating spatiotemporal patterns through a synthetic optogenetic oscillator," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    13. Linyue Zhang & Edward King & William B. Black & Christian M. Heckmann & Allison Wolder & Youtian Cui & Francis Nicklen & Justin B. Siegel & Ray Luo & Caroline E. Paul & Han Li, 2022. "Directed evolution of phosphite dehydrogenase to cycle noncanonical redox cofactors via universal growth selection platform," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    14. Rosario Vanella & Christoph Küng & Alexandre A. Schoepfer & Vanni Doffini & Jin Ren & Michael A. Nash, 2024. "Understanding activity-stability tradeoffs in biocatalysts by enzyme proximity sequencing," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    15. Joao A. Ascensao & Kelly M. Wetmore & Benjamin H. Good & Adam P. Arkin & Oskar Hallatschek, 2023. "Quantifying the local adaptive landscape of a nascent bacterial community," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    16. Ankita Pal & Dan I. Andersson, 2024. "Bacteria can compensate the fitness costs of amplified resistance genes via a bypass mechanism," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    17. N. Frazão & A. Konrad & M. Amicone & E. Seixas & D. Güleresi & M. Lässig & I. Gordo, 2022. "Two modes of evolution shape bacterial strain diversity in the mammalian gut for thousands of generations," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    18. Jacob J. Valenzuela & Selva Rupa Christinal Immanuel & James Wilson & Serdar Turkarslan & Maryann Ruiz & Sean M. Gibbons & Kristopher A. Hunt & Nejc Stopnisek & Manfred Auer & Marcin Zemla & David A. , 2024. "Origin of biogeographically distinct ecotypes during laboratory evolution," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    19. Dae-yeol Ye & Myung Hyun Noh & Jo Hyun Moon & Alfonsina Milito & Minsun Kim & Jeong Wook Lee & Jae-Seong Yang & Gyoo Yeol Jung, 2022. "Kinetic compartmentalization by unnatural reaction for itaconate production," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    20. Moy, Tiago & Pinto, Italo’Ivo L.D. & Rosas, Alexandre, 2020. "Finite number fluctuations in a three-state model with growing population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-55012-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.