Under or Over? Tracing Complex DNA Structures with High Resolution Atomic Force Microscopy
Authors:
- Elizabeth P. HolmesEHElizabeth P. Holmes
- Max C. GamillMGMax C. Gamill
- James I. ProvanJames I. Provan
- Laura WigginsLaura Wiggins
- Renáta RuskováRenáta Rusková
- Sylvia WhittleSWSylvia Whittle
- Thomas E. CatleyTCThomas E. Catley
- Neil ShephardNSNeil Shephard
- Helen. E. BryantHelen. E. Bryant
- Neville S. GilhoolyNGNeville S. Gilhooly
- Agnieszka GambusAgnieszka Gambus
Preprint
Abstract
The topology of DNA plays a crucial role in the regulation of cellular processes and genome stability. Despite its significance, DNA topology remains challenging to determine due to the length and conformational complexity of individual topologically constrained DNA molecules. We demonstrate unparalleled resolution of complex DNA topologies using Atomic Force Microscopy (AFM) in aqueous conditions. We present a new high-throughput automated pipeline to determine DNA topology from raw AFM images, using deep-learning methods to trace the backbone of individual DNA molecules and identify crossing points. Our pipeline efficiently determines which segment passes over which, including the handling of challenging crossings, where the path of each molecule may be harder to resolve. We demonstrate the wider applicability of our tracing method by determining the structure of stalled replication intermediates from Xenopus egg extracts, including theta structures and late replication products. By developing new methodologies to accurately trace the DNA path through every crossing, we determine the topology of plasmids, knots and catenanes from the E. coli Xer recombination system. In doing so we uncover a recurrent depositional effect and reveal its origins using coarse-grained simulations. Our approach is broadly applicable to a range of nucleic acid structures, including those which interact with proteins, and opens avenues for understanding fundamental biological processes which are regulated by or affect DNA topology.Keywords
All Related Versions
- Published version: Nature Communications, 16 (1), 1.
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