De novo reconstruction of satellite repeat units from sequence data

  1. Heng Li2,3
  1. 1Harvard School of Public Health, Boston, Massachusetts 02115, USA;
  2. 2Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA;
  3. 3Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA
  • Corresponding author: hli{at}jimmy.harvard.edu
  • Abstract

    Satellite DNA are long tandemly repeating sequences in a genome and may be organized as high-order repeats (HORs). They are enriched in centromeres and are challenging to assemble. Existing algorithms for identifying satellite repeats either require the complete assembly of satellites or only work for simple repeat structures without HORs. Here we describe Satellite Repeat Finder (SRF), a new algorithm for reconstructing satellite repeat units and HORs from accurate reads or assemblies without prior knowledge on repeat structures. Applying SRF to real sequence data, we show that SRF could reconstruct known satellites in human and well-studied model organisms. We also find satellite repeats are pervasive in various other species, accounting for up to 12% of their genome contents but are often underrepresented in assemblies. With the rapid progress in genome sequencing, SRF will help the annotation of new genomes and the study of satellite DNA evolution even if such repeats are not fully assembled.

    Footnotes

    • Received April 19, 2023.
    • Accepted October 18, 2023.

    This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see https://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

    | Table of Contents

    Preprint Server