Dai Dongmei, Si Jingfang, Jiang Li, Han Bo, Wang Kailai, Wang Xue, Yan Shihui, Yin Yichang, Chen Wei, Mao Huaming, Pauciullo Alfredo, Li Shang-Tong, Fang Lingzhao, Zhang Yi
State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Glbizzia Biosciences Co., Ltd, Beijing, 102609, China.
Adv Sci (Weinh). 2025 Oct;12(37):e08847. doi: 10.1002/advs.202508847. Epub 2025 Jul 11.
Characterizing the cell type-specific transcriptome is crucial for understanding the cellular and molecular regulatory mechanisms underlying adaptive evolution and complex phenotypes. Here, single-cell/nucleus RNA sequencing (sc/snRNA-seq) is used to construct a cell transcriptomic atlas of 397,011 cells, representing 57 cell types, from 12 tissues in river and swamp buffalo, which exhibit significant divergence in milk production. Differential expression analyses identify metabolic and secretory tissues (i.e., liver, mammary gland, and pituitary) and cell types (e.g., hepatocytes, luminal cells, somatotropes, and lactotropes) that mediate the divergence of milk production. Lactotrope-specific downregulation of TRHDE in river buffalo is associated with high milk production. Integrative analyses of sc/snRNA-seq data with genomic data in buffalo and cattle reveal key cell types (e.g., luminal cells and excitatory neurons) and genes (e.g., RPL13 and LALBA) associated with milk production. Ultimately, the Buffalo Cell Atlas (http://bovomicshub.com) will serve as a valuable resource for advancing buffalo genetics and genomics research, enabling cross-species comparative transcriptome studies and providing deeper insights into the regulation of milk synthesis and secretion.
表征细胞类型特异性转录组对于理解适应性进化和复杂表型背后的细胞和分子调控机制至关重要。在这里,单细胞/细胞核RNA测序(sc/snRNA-seq)被用于构建来自河流型和沼泽型水牛12个组织的397,011个细胞的细胞转录组图谱,这些细胞代表57种细胞类型,这两种水牛在产奶量上存在显著差异。差异表达分析确定了介导产奶量差异的代谢和分泌组织(即肝脏、乳腺和垂体)以及细胞类型(如肝细胞、管腔细胞、生长激素细胞和催乳激素细胞)。河流型水牛中催乳激素细胞特异性的TRHDE下调与高产奶量相关。对水牛和牛的sc/snRNA-seq数据与基因组数据进行综合分析,揭示了与产奶量相关的关键细胞类型(如管腔细胞和兴奋性神经元)和基因(如RPL13和LALBA)。最终,水牛细胞图谱(http://bovomicshub.com)将成为推进水牛遗传学和基因组学研究的宝贵资源,促进跨物种比较转录组研究,并为乳汁合成和分泌的调控提供更深入的见解。