Individual identification of inbred medaka based on characteristic dark spot patterns on the head

Author:

Morizumi Hajime1,Sugimoto Naozo1,Ueno Tomohiro1

Affiliation:

1. Kyoto University

Abstract

Abstract With disease progression, individual differences appear, even in an animal disease model with genetic homogeneity. Therefore, non-invasive long term observation and individual identification is desirable for late-onset diseases. To this end, the natural markings used in ecological studies are preferable to the external invasive markings used in animal husbandry and fisheries management. Here, we propose using the distribution pattern of dark spots on the head of an inbred strain of medaka, a small fish model organism with monotonous pigmentation, as biometric identifier. Long term and variation analyses show different patterns whose characteristics can be attributed to individual animals. These findings were also valid in a non-inbred medaka strain and will help individual follow-up of late-onset disease medaka models for the elucidation of the pathogenesis and drug discovery.

Publisher

Research Square Platform LLC

Reference32 articles.

1. The medaka draft genome and insights into vertebrate genome evolution;Kasahara M;Nature,2007

2. Committee on Standardized Genetic Nomenclature for Mice. Rules and guidelines for gene nomenclature. in Genetic Variants and Strains of the Laboratory Mouse (eds. Lyon, M.F. & Searle, A.G.), 1–11 (Oxford University Press, New York, 1989).

3. Taguchi, Y. Inbred strains and its characteristics. in Biology of Medaka (eds. Egami, N., et al.), 129–142 (University of Tokyo Press, Tokyo, 1990).

4. Green. E.L. Genetics and Probability in Animal Breeding Experiments. (Palgrave, London, 1981).

5. Inbred strains of the medaka, Oryzias latipes;Hyodo–Taguchi Y;Fish Biol. J. Medaka,1996

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