A high-resolution meiotic crossover map from single-nucleus ATAC-seq reveals insights into the recombination landscape in mammals

Meiotic crossovers promote correct chromosome segregation and the shuffling of genetic diversity. However, the measurement of crossovers remains challenging, impeding our ability to decipher the molecular mechanisms that are necessary for their formation and regulation. Here we demonstrate a novel repurposing of the single-nucleus Assay for Transposase Accessible Chromatin with sequencing (snATAC-seq) as a simple and high-throughput method to identify and characterize meiotic crossovers from haploid testis nuclei. We first validate the feasibility of obtaining genome-wide coverage from snATAC-seq by using ATAC-seq on bulk haploid mouse testis nuclei, ensuring adequate variant detection for haplotyping. Subsequently, we adapt droplet-based snATAC-seq for crossover detection, revealing >25 000 crossovers in F<sub>1</sub> hybrid mice. Comparison between the wild type and a hyper-recombinogenic <i>Fancm</i>-deficient mutant mouse model confirmed an increase in crossover rates in this genotype, however with a distribution which was unchanged. We also find that regions with the highest rate of crossover formation are enriched for PRDM9. Our findings demonstrate the utility of snATAC-seq as a robust and scalable tool for high-throughput crossover detection, offering insights into meiotic crossover dynamics and elucidating the underlying molecular mechanisms. It is possible that the research presented here with snATAC-seq of haploid post-meiotic nuclei could be extended into fertility-related diagnostics.

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Publication Details

Journal
NAR Genomics and Bioinformatics
Published
2025-07-04
DOI
https://doi.org/10.1093/nargab/lqaf122
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

A high-resolution meiotic crossover map from single-nucleus ATAC-seq reveals insights into the recombination landscape in mammals

Stevan Novakovic, Wayne Crismani, Davis J. McCarthy, Ruijie Liu et al.
NAR Genomics and Bioinformatics
CRISPR and Genetic Engineering
article

A high-resolution meiotic crossover map from single-nucleus ATAC-seq reveals insights into the recombination landscape in mammals

Stevan Novakovic, Wayne Crismani, Davis J. McCarthy, Ruijie Liu, Caitlin Harris
article en

Abstract

Meiotic crossovers promote correct chromosome segregation and the shuffling of genetic diversity. However, the measurement of crossovers remains challenging, impeding our ability to decipher the molecular mechanisms that are necessary for their formation and regulation. Here we demonstrate a novel repurposing of the single-nucleus Assay for Transposase Accessible Chromatin with sequencing (snATAC-seq) as a simple and high-throughput method to identify and characterize meiotic crossovers from haploid testis nuclei. We first validate the feasibility of obtaining genome-wide coverage from snATAC-seq by using ATAC-seq on bulk haploid mouse testis nuclei, ensuring adequate variant detection for haplotyping. Subsequently, we adapt droplet-based snATAC-seq for crossover detection, revealing >25 000 crossovers in F<sub>1</sub> hybrid mice. Comparison between the wild type and a hyper-recombinogenic <i>Fancm</i>-deficient mutant mouse model confirmed an increase in crossover rates in this genotype, however with a distribution which was unchanged. We also find that regions with the highest rate of crossover formation are enriched for PRDM9. Our findings demonstrate the utility of snATAC-seq as a robust and scalable tool for high-throughput crossover detection, offering insights into meiotic crossover dynamics and elucidating the underlying molecular mechanisms. It is possible that the research presented here with snATAC-seq of haploid post-meiotic nuclei could be extended into fertility-related diagnostics.

NAR Genomics and BioinformaticsVol. 7(3)
The University of Melbourne (AU), Melbourne Sexual Health Centre (AU), St Vincents Institute of Medical Research (AU)
Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 79%
CRISPR and Genetic Engineering
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