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The First High-quality Reference Genome of Sika Deer Provides Insights into High-tannin Adaptation

Authors :
Xiumei Xing
Cheng Ai
Tianjiao Wang
Yang Li
Huitao Liu
Pengfei Hu
Guiwu Wang
Huamiao Liu
Hongliang Wang
Ranran Zhang
Junjun Zheng
Xiaobo Wang
Lei Wang
Yuxiao Chang
Qian Qian
Jinghua Yu
Lixin Tang
Shigang Wu
Xiujuan Shao
Alun Li
Peng Cui
Wei Zhan
Sheng Zhao
Zhichao Wu
Xiqun Shao
Yimeng Dong
Min Rong
Yihong Tan
Xuezhe Cui
Shuzhuo Chang
Xingchao Song
Tongao Yang
Limin Sun
Yan Ju
Pei Zhao
Huanhuan Fan
Ying Liu
Xinhui Wang
Wanyun Yang
Min Yang
Tao Wei
Shanshan Song
Jiaping Xu
Zhigang Yue
Qiqi Liang
Chunyi Li
Jue Ruan
Fuhe Yang
Source :
Genomics, Proteomics & Bioinformatics, Vol 21, Iss 1, Pp 203-215 (2023)
Publication Year :
2023
Publisher :
Oxford University Press, 2023.

Abstract

Sika deer are known to prefer oak leaves, which are rich in tannins and toxic to most mammals; however, the genetic mechanisms underlying their unique ability to adapt to living in the jungle are still unclear. In identifying the mechanism responsible for the tolerance of a highly toxic diet, we have made a major advancement by explaining the genome of sika deer. We generated the first high-quality, chromosome-level genome assembly of sika deer and measured the correlation between tannin intake and RNA expression in 15 tissues through 180 experiments. Comparative genome analyses showed that the UGT and CYP gene families are functionally involved in the adaptation of sika deer to high-tannin food, especially the expansion of the UGT family 2 subfamily B of UGT genes. The first chromosome-level assembly and genetic characterization of the tolerance to a highly toxic diet suggest that the sika deer genome may serve as an essential resource for understanding evolutionary events and tannin adaptation. Our study provides a paradigm of comparative expressive genomics that can be applied to the study of unique biological features in non-model animals.

Details

Language :
English
ISSN :
16720229
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genomics, Proteomics & Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.f66c7767721d44c982184c067ea98206
Document Type :
article
Full Text :
https://doi.org/10.1016/j.gpb.2022.05.008