A multi-tissue epigenomic atlas links the sheep non-coding genome to domestication and complex traits
Meng, Z.; Zhang, S.; Zhuang, Z.; He, J.; Liu, F.; Wu, L.; Sun, X.; Lu, J.; Li, X.; Yang, H.; Gong, M.; Du, X.; Mei, Q.; Li, H.; Zhang, G.; He, X.; He, J.; Guo, X.; Nie, S.; Zhang, X.; Shan, M.; Yang, J.; Li, X.; Yang, H.; Hu, Y.; He, Y.; Tian, S.; Wu, X.; Wu, X.; Zhan, K.; Wang, M.; Lu, X.; Zhou, H.; Zhao, G.; Zhao, P.; Ling, Y.; Ren, C.; Yang, Y.; Zhang, X.; Jiang, Y.; Wu, W.; Xiang, R.; Crooijmans, R. P. M. A.; Madsen, O.; MacHugh, D. E.; Daly, K. G.; Clark, E. L.; Fang, L.; Zhang, Z.; Chu, M.; Guan, D.; Pan, Z.
Show abstract
Non-coding regulatory variation drives complex traits, domestication, and evolutionary adaptation, yet the sheep genome lacks high-resolution functional annotation. Here we present SheepEpimap, a multi-tissue regulatory atlas harmonizing 516 CUT&Tag histone modifications, ATAC-seq, and RNA-seq datasets across 43 adult tissues in sheep. We annotated 2.93 million cis-regulatory elements, yielding 557,441 enhancer-gene pairs and 145,407 variants with allele-specific effects. By training a sequence-to-function deep-learning model, we decoded the base-pair syntax of chromatin accessibility, annotated transcription factor motif instances genome-wide, and constructed 12,210 tissue-specific gene regulatory networks (GRNs). Integrating this resource with multi-tissue expression quantitative trait loci, selection sweeps, and genome-wide association studies prioritized non-coding variants driving domestication and complex traits. Finally, cross-species analysis revealed that sequence-conserved, tissue-matched enhancers were significantly enriched in the heritability of complex traits and diseases in humans. In summary, SheepEpimap (https://genome.ucsc.edu/s/mengzhu/SheepEpimap) provides an open-access foundational ecosystem for sheep functional genomics, precision breeding, and comparative biology.
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