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iMeta2025; 4(1); e267; doi: 10.1002/imt2.267

The HTIRDB: A resource containing a transcriptional atlas for 105 different tissues from each of seven species of domestic herbivore.

Abstract: Here, we describe the Herbivore Transcriptome Integrated Resource Database (HTIRDB, https://yanglab.hzau.edu.cn/HTIRDB#/). The HTIRDB comprises the self-generated transcriptomic data from 100 to 105 tissues from two female domestic herbivores from six species (cattle, donkey, goat, horse, rabbit, and sika deer) and two breeds of sheep, and an extra 28,710 related published datasets. The HTIRDB user-friendly interface provides tools and functionalities that facilitate the exploration of gene expression between tissues and species. The tools for comparative transcriptomics can be used to identify housekeeping genes, tissue-specific genes, species-specific genes, and species-conserved genes. To date, the HTIRDB is the most extensive transcriptome data resource for domestic herbivores that is freely available.
Publication Date: 2025-01-28 PubMed ID: 40027488PubMed Central: PMC11865344DOI: 10.1002/imt2.267Google Scholar: Lookup
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Summary

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The research introduces the Herbivore Transcriptome Integrated Resource Database (HTIRDB), an extensive database with gene expression data from multiple tissues across seven domestic herbivore species.

Overview of the Herbivore Transcriptome Integrated Resource Database

  • The HTIRDB is a comprehensive resource that holds transcriptomic data for various tissues from seven domestic herbivore species. The species include cattle, donkey, goat, horse, rabbit, sika deer, and two breeds of sheep.
  • The researchers gathered data from 100 to 105 tissues from two females of each species and combined it with an extra 28,710 related datasets sourced from published studies.

Database Interface and Functionality

  • The HTIRDB has a user-friendly interface that provides tools for exploring gene expression across different tissues and species.
  • Users can employ comparative transcriptomics tools to identify housekeeping genes (genes that are necessary for the maintenance of basic cellular functions and are expressed in all cells), tissue-specific genes, species-specific genes, and species-conserved genes (genes that remain unchanged across different species).

Significance of the HTIRDB

  • At the time of the study, the HTIRDB was the most extensive transcriptome data resource freely available for domestic herbivores.
  • The database is not only useful for study in domestic herbivore genetics but also serves as a comparative resource for those studying gene expression in other animals or humans.
  • Given the importance of these species in agriculture, the database can also aid in agricultural research and improve understanding of genetic expression, diseases, and the breeding of these animals.

Cite This Article

APA
Ding L, Wang Y, Zhang L, Luo C, Wu F, Huang Y, Zhen Y, Chen N, Wang L, Song L, Pool K, Blache D, Maloney SK, Liu D, Yang Z, Huang X, Li C, Yu X, Zhang Z, Chen Y, Xue C, Gu Y, Huang W, Yan L, Wei W, Wang Y, Zhang J, Zhang Y, Sun Y, Dai R, Wang S, Zhao X, Wang H, Zhou P, Yang QY, Wang M. (2025). The HTIRDB: A resource containing a transcriptional atlas for 105 different tissues from each of seven species of domestic herbivore. Imeta, 4(1), e267. https://doi.org/10.1002/imt2.267

Publication

ISSN: 2770-596X
NlmUniqueID: 9918350383706676
Country: Australia
Language: English
Volume: 4
Issue: 1
Pages: e267
PII: e267

Researcher Affiliations

Ding, Luoyang
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Wang, Yifan
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
Zhang, Linna
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Luo, Chengfang
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Wu, Feifan
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Huang, Yiming
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Zhen, Yongkang
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
Chen, Ning
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
Wang, Limin
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
Song, Li
  • College of Life Science Guizhou University Guiyang China.
Pool, Kelsey
  • UWA Institute of Agriculture The University of Western Australia Perth Western Australia Australia.
Blache, Dominique
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
  • UWA Institute of Agriculture The University of Western Australia Perth Western Australia Australia.
Maloney, Shane K
  • UWA Institute of Agriculture The University of Western Australia Perth Western Australia Australia.
Liu, Dongxu
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Yang, Zhiquan
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Huang, Xiaoyan
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Li, Chuang
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Yu, Xiang
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Zhang, Zhenbin
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Chen, Yifei
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Xue, Chun
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Gu, Yalan
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Huang, Weidong
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Yan, Lu
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Wei, Wenjun
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Wang, Yusu
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Zhang, Jinying
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Zhang, Yifan
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Sun, Yiquan
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
Dai, Rui
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Wang, Shengbo
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Zhao, Xinle
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Wang, Haodong
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Zhou, Ping
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
Yang, Qing-Yong
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.
  • Key Laboratory of Smart Farming for Agricultural Animals, Engineering Technology Research Center of Agricultural Big Data, College of Informatics Huazhong Agricultural University Wuhan China.
Wang, Mengzhi
  • Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology Yangzhou University Yangzhou China.
  • State Key Laboratory of Sheep Genetic Improvement and Healthy Production Xinjiang Academy of Agricultural Reclamation Sciences Shihezi China.

Conflict of Interest Statement

The authors declare no conflicts of interest.

References

This article includes 20 references
  1. Mottet A, Teillard F, Boettcher P, De'Besi G, Besbes B. Review: Domestic Herbivores and Food Security: Current Contribution, Trends and Challenges for a Sustainable Development.. Animal 12: s188–s198.
    doi: 10.1017/S1751731118002215pubmed: 30215340google scholar: lookup
  2. Eisler MC, Lee MRF, Tarlton JF, Martin GB, Beddington J, Dungait JAJ, Greathead H. Agriculture: Steps to Sustainable Livestock.. Nature 507: 32–34.
    doi: 10.1038/507032apubmed: 24605375google scholar: lookup
  3. Clark EL, Bush SJ, McCulloch MEB, Farquhar IL, Young R, Lefevre L, Pridans C. A High Resolution Atlas of Gene Expression in the Domestic Sheep (Ovis aries).. PLoS Genetics 13: e1006997.
  4. Zhang T, Wang T, Niu Q, Xu L, Chen Y, Gao X, Gao H. Transcriptional Atlas Analysis from Multiple Tissues Reveals the Expression Specificity Patterns in Beef Cattle.. BMC Biology 20: 79.
    doi: 10.1186/s12915-022-01269-4pmc: PMC8966188pubmed: 35351103google scholar: lookup
  5. Wang Y, Miao X, Zhao Z, Wang Y, Li S, Wang C. Transcriptome Atlas of 16 Donkey Tissues.. Frontiers in Genetics 12: 682734.
    doi: 10.3389/fgene.2021.682734pmc: PMC8381363pubmed: 34434218google scholar: lookup
  6. Muriuki C, Bush SJ, Salavati M, McCulloch MEB, Lisowski ZM, Agaba M, Djikeng A, Hume DA, Clark EL. A Mini‐Atlas of Gene Expression for the Domestic Goat (Capra hircus).. Frontiers in Genetics 10: 1080.
    doi: 10.3389/fgene.2019.01080pmc: PMC6844187pubmed: 31749840google scholar: lookup
  7. Wang Y, Huang Y, Zhen Y, Wang J, Wang L, Chen N, Wu F. De Novo Transcriptome Assembly Database for 100 Tissues from Each of Seven Species of Domestic Herbivore.. Scientific Data 11: 488.
    doi: 10.1038/s41597-024-03338-5pmc: PMC11088706pubmed: 38734729google scholar: lookup
  8. Priyam A, Rai BJ, Moghul V, Munagala I, Ter A, Ter F, Chowdhary H. Sequenceserver: A Modern Graphical User Interface for Custom BLAST Databases.. Molecular Biology and Evolution 36: 2922–2924.
    doi: 10.1093/molbev/msz185pmc: PMC6878946pubmed: 31411700google scholar: lookup
  9. Harhay GP, Smith TP, Alexander LJ, Haudenschild CD, Keele JW, Matukumalli LK, Schroeder SG. An Atlas of Bovine Gene Expression Reveals Novel Distinctive Tissue Characteristics and Evidence for Improving Genome Annotation.. Genome Biology 11: R102.
    doi: 10.1186/gb-2010-11-10-r102pmc: PMC3218658pubmed: 20961407google scholar: lookup
  10. Surlis C, Earley B, McGee M, Keogh K, Cormican P, Blackshields G, Tiernan K. Blood Immune Transcriptome Analysis of Artificially Fed Dairy Calves and Naturally Suckled Beef Calves from Birth to 7 Days of Age.. Scientific Reports 8: 15461.
    doi: 10.1038/s41598-018-33627-0pmc: PMC6194081pubmed: 30337646google scholar: lookup
  11. Jouneau L, Lefebvre DJ, Costa F, Romey A, Blaise-Boisseau S, Relmy A, Jaszczyszyn Y. The Antibody Response Induced FMDV Vaccines in Sheep Correlates with Early Transcriptomic Responses in Blood.. npj Vaccines 5, 1: 1.
    doi: 10.1038/s41541-019-0151-3pmc: PMC6941976pubmed: 31908850google scholar: lookup
  12. Li X, Yang J, Shen M, Xie XL, Liu GJ, Xu YX, Lv FH. Whole‐Genome Resequencing of Wild and Domestic Sheep Identifies Genes Associated with Morphological and Agronomic Traits.. Nature Communications 11: 2815.
    doi: 10.1038/s41467-020-16485-1pmc: PMC7272655pubmed: 32499537google scholar: lookup
  13. Pacholewska A, Drögemüller M, Klukowska-Rötzler J, Lanz S, Hamza E, Dermitzakis ET, Marti E. The Transcriptome of Equine Peripheral Blood Mononuclear Cells.. PLoS One 10: e0122011.
  14. Buchfink B, Xie C, Huson DH. Fast and Sensitive Protein Alignment Using DIAMOND.. Nature Methods 12: 59–60.
    doi: 10.1038/nmeth.3176pubmed: 25402007google scholar: lookup
  15. Buels R, Yao E, Diesh CM, Hayes RD, Munoz-Torres M, Helt G, Goodstein DM. JBrowse: A Dynamic Web Platform for Genome Visualization and Analysis.. Genome Biology 17: 66.
    doi: 10.1186/s13059-016-0924-1pmc: PMC4830012pubmed: 27072794google scholar: lookup
  16. Quinlan AR, Hall IM. BEDTools: A Flexible Suite of Utilities for Comparing Genomic Features.. Bioinformatics 26: 841–842.
  17. Yu G, Wang LG, Han Y, He QY. Clusterprofiler: An R Package for Comparing Biological Themes Among Gene Clusters.. OMICS: A Journal of Integrative Biology 16: 284–287.
    doi: 10.1089/omi.2011.0118pmc: PMC3339379pubmed: 22455463google scholar: lookup
  18. Cantalapiedra CP, Hernández-Plaza A, Letunic I, Bork P, Huerta-Cepas J. eggNOG‐mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale.. Molecular Biology and Evolution 38: 5825–5829.
    doi: 10.1093/molbev/msab293pmc: PMC8662613pubmed: 34597405google scholar: lookup
  19. Buchfink B, Reuter K, Drost HG. Sensitive Protein Alignments at Tree‐of‐Life Scale Using DIAMOND.. Nature Methods 18: 366–368.
    doi: 10.1038/s41592-021-01101-xpmc: PMC8026399pubmed: 33828273google scholar: lookup
  20. Love MI, Huber W, Anders S. Moderated Estimation of Fold Change and Dispersion for RNA‐seq Data with DESeq2.. Genome Biology 15: 550.
    doi: 10.1186/s13059-014-0550-8pmc: PMC4302049pubmed: 25516281google scholar: lookup

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