BMC Genomics (Mar 2022)

Towards the detection of copy number variation from single sperm sequencing in cattle

  • Liu Yang,
  • Yahui Gao,
  • Adam Oswalt,
  • Lingzhao Fang,
  • Clarissa Boschiero,
  • Mahesh Neupane,
  • Charles G. Sattler,
  • Cong-jun Li,
  • Eyal Seroussi,
  • Lingyang Xu,
  • Lv Yang,
  • Li Li,
  • Hongping Zhang,
  • Benjamin D. Rosen,
  • Curtis P. Van Tassell,
  • Yang Zhou,
  • Li Ma,
  • George E. Liu

DOI
https://doi.org/10.1186/s12864-022-08441-8
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 9

Abstract

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Abstract Background Copy number variation (CNV) has been routinely studied using bulk-cell sequencing. However, CNV is not well studied on the single-cell level except for humans and a few model organisms. Results We sequenced 143 single sperms of two Holstein bulls, from which we predicted CNV events using 14 single sperms with deep sequencing. We then compared the CNV results derived from single sperms with the bulk-cell sequencing of one bull’s family trio of diploid genomes. As a known CNV hotspot, segmental duplications were also predicted using the bovine ARS-UCD1.2 genome. Although the trio CNVs validated only some single sperm CNVs, they still showed a distal chromosomal distribution pattern and significant associations with segmental duplications and satellite repeats. Conclusion Our preliminary results pointed out future research directions and highlighted the importance of uniform whole genome amplification, deep sequence coverage, and dedicated software pipelines for CNV detection using single cell sequencing data.

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