High-resolution, genome-wide mapping of positive supercoiling in chromosomes
Abstract
Supercoiling impacts DNA replication, transcription, protein binding to DNA, and the three-dimensional organization of chromosomes. However, there are currently no methods to directly interrogate or map positive supercoils, so their distribution in genomes remains unknown. Here, we describe a method, GapR-seq, based on the chromatin immunoprecipitation of GapR, a bacterial protein that preferentially recognizes overtwisted DNA, for generating high-resolution maps of positive supercoiling. Applying this method to E. coli and S. cerevisiae, we find that positive supercoiling is widespread, associated with transcription, and particularly enriched between convergently-oriented genes, consistent with the 'twin-domain' model of supercoiling. In yeast, we also find positive supercoils associated with centromeres, cohesin binding sites, autonomously replicating sites, and the borders of R-loops (DNA-RNA hybrids). Our results suggest that GapR-seq is a powerful approach, likely applicable in any organism, to investigate aspects of chromosome structure and organization not accessible by Hi-C or other existing methods.
Data availability
Datasets generated during this study are deposited at the Gene Expression Omnibus (GEO): GSE152882.
-
High-resolution, genome-wide mapping of positive supercoiling in chromosomesNCBI Gene Expression Omnibux, GSE152882.
Article and author information
Author details
Funding
National Institutes of Health (K99GM134153)
- Monica S Guo
National Institutes of Health (U54CA193419)
- John F Marko
National Institutes of Health (U54DK107980)
- John F Marko
National Institutes of Health (R01GM082899)
- Michael T Laub
National Institutes of Health (S10OD026741)
- Monica S Guo
Howard Hughes Medical Institute (Investigator)
- Michael T Laub
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2021, Guo et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 5,933
- views
-
- 878
- downloads
-
- 68
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Citations by DOI
-
- 68
- citations for umbrella DOI https://doi.org/10.7554/eLife.67236