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

Authors :
Shangchen Yang
Tianming Lan
Rongping Wei
Ling Zhang
Lin Lin
Hanyu Du
Yunting Huang
Guiquan Zhang
Shan Huang
Minhui Shi
Chengdong Wang
Qing Wang
Rengui Li
Lei Han
Dan Tang
Haimeng Li
Hemin Zhang
Jie Cui
Haorong Lu
Jinrong Huang
Yonglun Luo
Desheng Li
Qiu-Hong Wan
Huan Liu
Sheng-Guo Fang
Source :
BMC Biology, Vol 21, Iss 1, Pp 1-17 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background 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. Results 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. Conclusions 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.

Details

Language :
English
ISSN :
17417007
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.256129ae92f0468a8060b2ffd8aad1f3
Document Type :
article
Full Text :
https://doi.org/10.1186/s12915-023-01691-2