Long-read sequencing reveals pre-meiotic gene conversion in sperm
Year: 2026
Type: article
Abstract: Meiotic recombination is a fundamental process that generates genetic diversity by creating new combinations of existing alleles 1 . Whereas crossovers in humans are well characterized 2 , the more frequent non-crossovers that lead to gene conversion remain challenging to study. Here we show that single high-fidelity long sequencing reads from sperm can capture both crossovers and non-crossovers, which enables effectively arbitrary sample sizes for analysis from a single male. We analysed 2,382 candidate non-crossovers in 15 sperm samples from 13 donors, and identified a consistent component with properties distinct from PRDM9-induced recombination. This phenomenon was not associated with meiotic double-strand break sites identified by DMC1 binding, the crossover recombination map or GC-biased gene conversion, but was associated with genomic fragile sites. This component is also seen in paternal non-crossover gene conversions in pedigree data 3 . Applying the same analysis to 12 blood samples 4 , we observed non-crossover gene conversions with similar properties, but very few crossover events. Further, we demonstrate variation between donors for the different types of recombination, even when they share the same PRDM9 genotype. We suggest that a substantial fraction of the non-crossover gene conversion events seen in sperm arise prior to meiosis.
Source: Nature
Language: English
Topic: DNA Repair Mechanisms
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $12,690
Awards: Whole genome sequence based analysis of genetic variation and genome evolution, G216090648, Comparative analyses of somatic mutational processes in primates across lifespans, Structural and biophysical mechanism of microRNA nuclear export, Wellcome Sanger Institute Quinquennial Review 2021-2026, G339059223, Whole genome sequence based analysis of genetic variation and genome evolution, Wellcome Sanger Institute Quinquennial Review 2021-2026
OpenAlex ID: W7204225836
