Generation of a de novo transcriptome from equine lamellar tissue.
Abstract: Laminitis, the structural failure of interdigitated tissue that suspends the distal skeleton within the hoof capsule, is a devastating disease that is the second leading cause of both lameness and euthanasia in the horse. Current transcriptomic research focuses on the expression of known genes. However, as this tissue is quite unique and equine gene annotation is largely derived from computational predictions, there are likely yet uncharacterized transcripts that may be involved in the etiology of laminitis. In order to create a novel annotation resource, we performed whole transcriptome sequencing of sagittal lamellar sections from one control and two laminitis affected horses. Results: Whole transcriptome sequencing of the three samples resulted in 113 million reads. Overall, 88 % of the reads mapped to the equCab2 reference genome, allowing for the identification of 119,430 SNPs. The de novo assembly generated around 75,000 transcripts, of which 36,000 corresponded to known annotations. Annotated transcript models are hosted in a public data repository and thus can be easily accessed or loaded into genome browsers. RT-PCR of 12 selected assemblies confirmed structure and expression in lamellar tissue. Conclusions: Transcriptome sequencing represents a powerful tool to expand on equine annotation and identify novel targets for further laminitis research.
Publication Date: 2015-10-03 PubMed ID: 26432030PubMed Central: PMC4592545DOI: 10.1186/s12864-015-1948-8Google Scholar: Lookup
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Summary
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This research sought to explore new insight on Laminitis, a hoof disease in horses that causes significant pain and lameness, by creating a new understanding of the genetic information related to the disease using whole transcriptome sequencing of lamellar tissue from healthy and affected horses. The article gives detailed information about the sequencing process and data results which can be used for further research on possible interventions for the disease.
Objective and Methodology
- The study centered on understanding the genetic details of Laminitis, a severe disease in horses that leads to structural failure in the hoof capsule.
- The researchers strived to enhance the existing gene annotation through whole transcriptome sequencing, providing a wealth of new genetic data for further study.
- They conducted sequencing on sagittal lamellar sections from one control (healthy) horse and two horses affected by Laminitis.
Results
- The whole transcriptome sequencing of the three samples produced 113 million reads. Out of these, 88% mapped successfully to the current equine reference genome (equCab2).
- This process allowed the researchers to identify 119,430 single nucleotide polymorphisms (SNPs), contributing to the understanding of genetic diversity and disease susceptibility.
- The de novo assembly resulted in around 75,000 transcripts, of which 36,000 corresponded to known annotations, therefore revealing numerous uncharacterized genetic transcripts.
- The team further validated the structure and expression of 12 selected assemblies through Reverse transcription polymerase chain reaction (RT-PCR), confirming the reliability of the data.
Conclusions
- The study demonstrates that transcriptome sequencing is a powerful resource for expanding equine gene annotations and identifying novel targets for future research on Laminitis.
- All annotated transcript models are publicly available and thus act as valuable resources for the scientific community to advance research in this field.
Cite This Article
APA
Holl HM, Gao S, Fei Z, Andrews C, Brooks SA.
(2015).
Generation of a de novo transcriptome from equine lamellar tissue.
BMC Genomics, 16, 739.
https://doi.org/10.1186/s12864-015-1948-8 Publication
Researcher Affiliations
- Department of Animal Sciences, University of Florida, Gainesville, FL, 32611, USA. heather.holl@ufl.edu.
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, 14853, USA. wng.peter@gmail.com.
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, 14853, USA. zf25@cornell.edu.
- Laboratory of Molecular Immunoregulation, National Cancer Institute, Bethesda, MD, 20892, USA. candrewsdvm@gmail.com.
- Department of Animal Sciences, University of Florida, Gainesville, FL, 32611, USA. samantha.brooks@ufl.edu.
MeSH Terms
- Animals
- Computational Biology
- DNA, Complementary / chemistry
- DNA, Complementary / genetics
- Databases, Genetic
- Exons
- Gene Expression Profiling
- Genetic Loci
- High-Throughput Nucleotide Sequencing
- Horses
- Molecular Sequence Annotation
- Organ Specificity / genetics
- Phenotype
- Reproducibility of Results
- Transcriptome
References
This article includes 55 references
Citations
This article has been cited 4 times.- Han H, Randhawa IAS, MacHugh DE, McGivney BA, Katz LM, Dugarjaviin M, Hill EW. Selection signatures for local and regional adaptation in Chinese Mongolian horse breeds reveal candidate genes for hoof health.. BMC Genomics 2023 Jan 19;24(1):35.
- Niu X, Sun Y, Chen Z, Li R, Padmanabhan C, Ruan J, Kreuze JF, Ling K, Fei Z, Gao S. Using Small RNA-seq Data to Detect siRNA Duplexes Induced by Plant Viruses.. Genes (Basel) 2017 Jun 16;8(6).
- Mansour TA, Scott EY, Finno CJ, Bellone RR, Mienaltowski MJ, Penedo MC, Ross PJ, Valberg SJ, Murray JD, Brown CT. Tissue resolved, gene structure refined equine transcriptome.. BMC Genomics 2017 Jan 20;18(1):103.
- Zhang F, Xu T, Mao L, Yan S, Chen X, Wu Z, Chen R, Luo X, Xie J, Gao S. Genome-wide analysis of Dongxiang wild rice (Oryza rufipogon Griff.) to investigate lost/acquired genes during rice domestication.. BMC Plant Biol 2016 Apr 26;16:103.
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