数字农科院2.0

Genetic Diversity and Population Structure of Sika Deer (Cervus nippon) Inferred by mtDNA and Y-Chromosomal Genes

文献类型： 外文期刊

作者： Wang, Tianjiao;Dong, Yimeng;Wang, Lei;Liu, Huamiao;Su, Weilin;Xing, Xiumei

作者机构：

关键词： sika deer;mitochondrial genome;Y chromosome;maternal origin;paternal origin;tandem repeat unit

期刊名称： ANIMALS

ISSN： 2076-2615

年卷期： 2025 年 15 卷 20 期

页码：

收录情况： SCIE（2025版）

摘要： Simple Summary A systematic investigation of the genetic diversity and structure of different sika deer populations is conducive to their population management, protection, and reproduction. Using mitochondria and genes on the Y chromosome, we found that the sika deer population consists of nine maternal lineages and three paternal lineages. The overall maternal genetic diversity of sika deer is relatively high, while that of the paternal line is low. In addition, the tandem repeat units in the control region in Japanese populations exhibit significantly higher diversity in both type and copy number. Notably, we identified a 26 bp tandem repeat motif unique to southern Japanese populations.Abstract Sika deer (Cervus nippon), a species mainly distributed in the northeast of Asia, hold significant economic value in China due to their contributions to traditional Chinese medicine. A systematic investigation of their genetic structure is needed for population management. In this study, mitochondrial genome and AMELY, DBY, USP9Y, and SRY gene fragments on Y chromosome were used to elucidate the genetic structure of 303 individuals across 8 distinct populations. The mitosome analysis identified 72 haplotypes, with a haplotype diversity (Hd) of 0.917 and nucleotide diversity (pi) of 0.0143, respectively. Meanwhile, 13 haplotypes were defined by Y chromosome genes with a Hd of 0.791. Analysis of the mitochondrial control region (CR) revealed subspecies-specific patterns of tandem repeat unit organization between continental and Japanese groups. Y chromosome analyses demonstrated a homogeneous paternal lineage across Japanese populations.

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