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Poultry science
Jan 23, 2025;104 (3): 104842.

Goose multi-omics database: A comprehensive multi-omics database for goose genomics.

Mingjiang Huang, Jiahe Sun, Jian Wang, Xiaoli Ye, Zhuping Chen, Xianzhi Zhao, Keshan Zhang, Lin Ma, Jiajia Xue, Yi Luo, Xianwen Wu, Haiwei Wang, Chao Wang, Zuohua Liu, Youhui Xie, Ying Chen, Qigui Wang, Yi Wang, Guangliang Gao
Author Information
  1. Mingjiang Huang: Southwest University, Chongqing, 402460, PR China.
  2. Jiahe Sun: Southwest University, Chongqing, 402460, PR China.
  3. Jian Wang: Jiangsu Agri-animal Husbandry Vocational College, Taizhou, Jiangsu 225300, PR China.
  4. Xiaoli Ye: Southwest University, Chongqing, 402460, PR China.
  5. Zhuping Chen: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  6. Xianzhi Zhao: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  7. Keshan Zhang: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  8. Lin Ma: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  9. Jiajia Xue: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  10. Yi Luo: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  11. Xianwen Wu: Department of Laboratory Animal Sciences, Peking University Health Sciences Center, Beijing 100191, PR China.
  12. Haiwei Wang: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  13. Chao Wang: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  14. Zuohua Liu: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  15. Youhui Xie: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  16. Ying Chen: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China.
  17. Qigui Wang: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China. Electronic address: wangqigui@hotmail.com.
  18. Yi Wang: Southwest University, Chongqing, 402460, PR China. Electronic address: yiwang28@swu.edu.cn.
  19. Guangliang Gao: Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China. Electronic address: guanglianggaocq@hotmail.com.
PMID: 39874782 DOI: 10.1016/j.psj.2025.104842

Abstract

Multi-omics has helped elucidate the gene expression patterns and genomic variations closely associated with economically significant traits in geese. Despite the substantial genomic data generated through extensive goose studies, a unified platform for integrating these datasets is lacking. To address this gap, we introduced the Goose Multi-omics Database (GMD), which is accessible at http://goosedb.com/. The GMD is a comprehensive resource enabling streamlined search, analysis, and visualization of genetic information through a unified interface, providing insights into phenotypic traits, gene sequences, structures, expression profiles, genomic variations, gene families, homology, and collinearity. Equipped with robust analytical tools such as GBrowse and BLAST, the GMD facilitates rapid access to target gene information, significantly enhancing the efficiency and productivity of genomic research. By serving as a versatile and intuitive online repository, the GMD offers transformative potential for advancing goose biology, fostering multi-omics investigations, and integrating cutting-edge methodologies such as deep learning to accelerate discoveries in goose genomics.

Keywords

Genome sequence Genome variant Goose multi-omics database Phenome Transcriptome

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Journal Article

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