Your browser doesn't support javascript.
loading
De novo transcriptome assembly database for 100 tissues from each of seven species of domestic herbivore.
Wang, Yifan; Huang, Yiming; Zhen, Yongkang; Wang, Jiasheng; Wang, Limin; Chen, Ning; Wu, Feifan; Zhang, Linna; Shen, Yizhao; Bi, Congliang; Li, Song; Pool, Kelsey; Blache, Dominique; Maloney, Shane K; Liu, Dongxu; Yang, Zhiquan; Li, Chuang; Yu, Xiang; Zhang, Zhenbin; Chen, Yifei; Xue, Chun; Gu, Yalan; Huang, Weidong; Yan, Lu; Wei, Wenjun; Wang, Yusu; Zhang, Jinying; Zhang, Yifan; Sun, Yiquan; Wang, Shengbo; Zhao, Xinle; Luo, Chengfang; Wang, Haodong; Ding, Luoyang; Yang, Qing-Yong; Zhou, Ping; Wang, Mengzhi.
Afiliación
  • Wang Y; State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
  • Huang Y; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Zhen Y; College of Life Science, Guizhou University, Guiyang, 550025, P. R. China.
  • Wang J; State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
  • Wang L; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Chen N; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Wu F; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Zhang L; State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
  • Shen Y; State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
  • Bi C; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Li S; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Pool K; College of Animal Science and Technology, Hebei Agricultural University, Baoding, 071033, P. R. China.
  • Blache D; College of Life Science, Linyi University, Linyi, 276005, P. R. China.
  • Maloney SK; College of Life Science, Guizhou University, Guiyang, 550025, P. R. China.
  • Liu D; UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.
  • Yang Z; UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.
  • Li C; UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.
  • Yu X; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Zhang Z; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Chen Y; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Xue C; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Gu Y; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Huang W; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Yan L; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Wei W; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Wang Y; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Zhang J; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Zhang Y; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Sun Y; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Wang S; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Zhao X; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Luo C; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
  • Wang H; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Ding L; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Yang QY; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Zhou P; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
  • Wang M; College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China. luoyang.ding@uwa.edu.au.
Sci Data ; 11(1): 488, 2024 May 11.
Article en En | MEDLINE | ID: mdl-38734729
ABSTRACT
Domesticated herbivores are an important agricultural resource that play a critical role in global food security, particularly as they can adapt to varied environments, including marginal lands. An understanding of the molecular basis of their biology would contribute to better management and sustainable production. Thus, we conducted transcriptome sequencing of 100 to 105 tissues from two females of each of seven species of herbivore (cattle, sheep, goats, sika deer, horses, donkeys, and rabbits) including two breeds of sheep. The quality of raw and trimmed reads was assessed in terms of base quality, GC content, duplication sequence rate, overrepresented k-mers, and quality score distribution with FastQC. The high-quality filtered RNA-seq raw reads were deposited in a public database which provides approximately 54 billion high-quality paired-end sequencing reads in total, with an average mapping rate of ~93.92%. Transcriptome databases represent valuable resources that can be used to study patterns of gene expression, and pathways that are related to key biological processes, including important economic traits in herbivores.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Herbivoria / Transcriptoma Límite: Animals Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Herbivoria / Transcriptoma Límite: Animals Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article