Single-nucleus transcriptome inventory of giant panda reveals cellular basis for fitness optimization under low metabolism

Energy homeostasis is essential for the adaptation of animals to their environment and some wild animals keep low metabolism adaptive to their low-nutrient dietary supply. Giant panda is such a typical low-metabolic mammal exhibiting species specialization of extremely low daily energy expenditure....

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Veröffentlicht in:BMC biology 2023-10, Vol.21 (1), p.1-222, Article 222
Hauptverfasser: Yang, Shangchen, Lan, Tianming, Wei, Rongping, Zhang, Ling, Lin, Lin, Du, Hanyu, Huang, Yunting, Zhang, Guiquan, Huang, Shan, Shi, Minhui, Wang, Chengdong, Wang, Qing, Li, Rengui, Han, Lei, Tang, Dan, Li, Haimeng, Zhang, Hemin, Cui, Jie, Lu, Haorong, Huang, Jinrong, Luo, Yonglun, Li, Desheng, Wan, Qiu-Hong, Liu, Huan, Fang, Sheng-Guo
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Sprache:eng
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Zusammenfassung:Energy homeostasis is essential for the adaptation of animals to their environment and some wild animals keep low metabolism adaptive to their low-nutrient dietary supply. Giant panda is such a typical low-metabolic mammal exhibiting species specialization of extremely low daily energy expenditure. It has low levels of basal metabolic rate, thyroid hormone, and physical activities, whereas the cellular bases of its low metabolic adaptation remain rarely explored. In this study, we generate a single-nucleus transcriptome atlas of 21 organs/tissues from a female giant panda. We focused on the central metabolic organ (liver) and dissected cellular metabolic status by cross-species comparison. Adaptive expression mode (i.e., AMPK related) was prominently displayed in the hepatocyte of giant panda. In the highest energy-consuming organ, the heart, we found a possibly optimized utilization of fatty acid. Detailed cell subtype annotation of endothelial cells showed the uterine-specific deficiency of blood vascular subclasses, indicating a potential adaptation for a low reproductive energy expenditure. Our findings shed light on the possible cellular basis and transcriptomic regulatory clues for the low metabolism in giant pandas and helped to understand physiological adaptation response to nutrient stress.
ISSN:1741-7007
1741-7007
DOI:10.1186/s12915-023-01691-2