The rate and spectrum of new mutations in mice inferred by long-read sequencing

  1. Diethard Tautz2
  1. 1 University of Edinburgh;
  2. 2 Max Planck Institute for Evolutionary Biology
  • * Corresponding author; email: elcortegano{at}protonmail.com
  • Abstract

    All forms of genetic variation originate from new mutations, making it crucial to understand their rates and mechanisms. Here, we use long-read PacBio sequencing to investigate de novo mutations that accumulated in 12 inbred mouse lines derived from three commonly used inbred strains (C3H, C57BL/6, and FVB) maintained for 8-15 generations in a mutation accumulation (MA) experiment. We built chromosome-level genome assemblies based on the MA line founders' genomes, and then employed a combination of read and assembly-based methods to call the complete spectrum of new mutations. On average, there are ~45 mutations per haploid genome per generation, about half of which (54%) are insertions and deletions shorter than 50 bp (indels). The remainder are single nucleotide mutations (SNMs, 44%) and large structural mutations (SMs, 2%). We found that the degree of DNA repetitiveness is positively correlated with SNM and indel rates, and that a substantial fraction of SMs can be explained by homology-dependent mechanisms associated with repeat sequences. Most (90%) indels can be attributed to microsatellite contractions and expansions, and there is a marked bias towards 4 bp indels. Among the different types of SMs, tandem repeat mutations have the highest mutation rate, followed by insertions of transposable elements (TEs). We uncover a rich landscape of active TEs, and notable differences in their spectrum among MA lines and strains, and a high rate of gene retroposition. Our study offers novel insights into mammalian genome evolution, and highlights the importance of repetitive elements in shaping genomic diversity.

    • Received September 6, 2024.
    • Accepted November 26, 2024.

    This manuscript is Open Access.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International license), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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    1. Genome Res. gr.279982.124 Published by Cold Spring Harbor Laboratory Press

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