Comparative Single‐Cell Transcriptomic Atlas Reveals the Genetic Regulation of Reproductive Traits
Reproduction is a fundamental biological process regulated by complex cellular and molecular networks across the neuroendocrine and reproductive systems. To explore conserved and species-specific mechanisms of fertility regulation, we constructed a high-resolution single-cell transcriptomic atlas of 15 reproductive and central nervous system (CNS) tissues from sheep and integrated it with human single-cell datasets from 13 matched tissues. This comparative atlas comprises over 1.09 million cells and identifies 76 major cell types across species. Cross-species integration based on 15 748 orthologous genes revealed that 54 cell types (71.1%) are shared between sheep and humans, showing strong conservation in transcriptional programs, cell lineage trajectories, and regulatory networks. Integrating genome-wide association studies (GWAS) for sheep lifetime average litter size with the single-cell atlas identified crucial fertility-associated genes and signaling pathways. Cell-cell communication analysis revealed UNC5-SLIT-BMP signaling cascades coordinating neuroendocrine regulation of fertility along the hypothalamus-pituitary-ovary (HPO) axis. Trait-cell type enrichment analyses for 41 human complex traits further demonstrated that conserved reproductive and CNS cell types in sheep recapitulate key human GWAS associations. Together, this cross-species single-cell atlas (https://csca.njau.edu.cn/) provides a valuable resource for understanding how conserved cellular programs and inter-organ signaling networks regulate fertility and other complex traits.
Authors
- Shanglai Li
- G Zhang
- Dailu Guan (ORCID: https://orcid.org/0000-0001-8800-3158)
- Bingru Zhao
- Yanli Zhang
- Hanpeng Luo
- Xuefeng Fu
- Hua Yang
- Feng Wang
Institutions
- Nanjing Agricultural University (CN)
- Capital Medical University (CN)
- Xinjiang Academy of Animal Science (CN)
- University of California, Davis (US)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1002/advs.202517633
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00