Morphological Characteristics of Retinal Ganglion Cells in the Retinas of Giant Pandas (Ailuropoda melanoleuca)

Author:

Wang Wenyao12,Wang Chengdong3,Nan Yan1,Zhou Yuan1,Wei Ronping3,Ling Shanshan3,Wu Honglin3,Deng Linhua3,Gao Jie1,He Qihua4,Huang Xin1,Zhang Chun5,Li Desheng3,Pu Mingliang1ORCID

Affiliation:

1. School of Basic Medical Sciences Peking University Beijing China

2. National Biomedical Imaging Center, College of Future Technology Peking University Beijing China

3. China Conservation and Research Center for the Giant Panda (CCRCGP) Chengdu China

4. State Key Laboratory of Natural and Biomimetic Drugs Peking University Beijing China

5. Department of Ophthalmology Peking University Third Hospital, Peking University Eye Center Beijing China

Abstract

ABSTRACTVision plays a crucial role in the survival of animals, and the visual system has particularly selectively evolved in response to the visual environment, ecological niche, and species habitats in vertebrate species. To date, a horizontal streak of retinal ganglion cell (RGC) distribution pattern is observed across mammal species. Here, we report that the giant panda's vertically oriented visual streak, combined with current evidence of the animal's forward‐placed eyes, ocular structure, and retinal neural topographic distribution patterns, presents the emergence of a well‐adapted binocular visual system. Our results suggest that the giant panda may use a unique way to processing binocular visual information. Results of mathematical simulation are in favor of this hypothesis. The topographic distribution properties of RGCs reported here could be essential for understanding the visual adaptation and evolution of this living fossil.

Funder

Beijing Municipal Natural Science Foundation

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

Wiley

Reference69 articles.

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2. Why do animal eyes have pupils of different shapes?

3. Field metabolic rates of giant pandas reveal energetic adaptations

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