Quantifying complexity in DNA structures with high resolution Atomic Force Microscopy.

Journal: Nature communications
Published Date:

Abstract

DNA topology is essential for regulating cellular processes and maintaining genome stability, yet it is challenging to quantify due to the size and complexity of topologically constrained DNA molecules. By combining high-resolution Atomic Force Microscopy (AFM) with a new high-throughput automated pipeline, we can quantify the length, conformation, and topology of individual complex DNA molecules with sub-molecular resolution. Our pipeline uses deep-learning methods to trace the backbone of individual DNA molecules and identify crossing points, efficiently determining which segment passes over which. We use this pipeline to determine the structure of stalled replication intermediates from Xenopus egg extracts, including theta structures and late replication products, and the topology of plasmids, knots and catenanes from the E. coli Xer recombination system. We use coarse-grained simulations to quantify the effect of surface immobilisation on twist-writhe partitioning. Our pipeline opens avenues for understanding how fundamental biological processes are regulated by DNA topology.

Authors

  • Elizabeth P Holmes
    School of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield, UK.
  • Max C Gamill
    School of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield, UK.
  • James I Provan
    School of Molecular Biosciences, University of Glasgow, Glasgow, UK.
  • Laura Wiggins
    School of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield, UK.
  • Renáta Rusková
    Polymer Institute of the Slovak Academy of Sciences, Bratislava, Slovakia.
  • Sylvia Whittle
    School of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield, UK.
  • Thomas E Catley
    School of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield, UK.
  • Kavit H S Main
    London Centre for Nanotechnology, University College London, London, UK.
  • Neil Shephard
    School of Computer Science, University of Sheffield, Sheffield, UK.
  • Helen E Bryant
    School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
  • Neville S Gilhooly
    Department of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
  • Agnieszka Gambus
    Department of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
  • Dušan Račko
    Polymer Institute of the Slovak Academy of Sciences, Bratislava, Slovakia.
  • Sean D Colloms
    School of Molecular Biosciences, University of Glasgow, Glasgow, UK. sean.colloms@glasgow.ac.uk.
  • Alice L B Pyne
    School of Chemical, Materials and Biological Engineering, University of Sheffield, Sheffield, UK. a.l.pyne@sheffield.ac.uk.