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Tissue resolved, gene structure refined equine transcriptome
T A Mansour1,2, E Y Scott3, C J Finno1
1Department of Population Health and Reproduction, University of California, Davis, Davis, USA.
BMC Genomics
|January 22, 2017
Summary
This study presents a new equine transcriptome, improving gene expression analysis and genetic variant assessment. The refined transcriptome offers enhanced tissue-specific resolution for various downstream applications.
Area of Science:
- Genomics
- Transcriptomics
- Bioinformatics
Background:
- Accurate gene expression quantification and genetic variant analysis depend on high-quality reference transcriptomes.
- Current horse genome annotations are insufficient for precise gene expression assessment, particularly at the isoform level, and lack detailed untranslated region (UTR) usage information.
Purpose of the Study:
- To develop an improved annotation pipeline for the horse genome.
- To create a refined equine transcriptome by integrating extensive RNA-seq data.
- To enhance the accuracy and resolution of gene expression analysis and functional genomics in horses.
Main Methods:
- An annotation pipeline was developed for horse transcriptomes.
- 1.9 billion RNA-seq reads from multiple datasets were integrated.
- Four levels of transcript filtration were applied to generate multiple transcriptome versions.
Main Results:
- A new equine transcriptome was generated, integrating data from eight tissues across 59 individuals.
- The refined transcriptome features improved gene structure and isoform resolution, offering significant tissue-specific insights.
- The most comprehensive version includes 36,876 genes, 76,125 isoforms, and 6,474 novel transcriptional loci.
Conclusions:
- The developed pipeline and resulting equine transcriptomes provide superior tissue-specific resolution compared to existing resources.
- The transcriptomes are flexible and suitable for diverse downstream analyses, including gene expression and variant studies.
- Further integration of equine transcriptomes with the pipeline is encouraged to continuously improve equine genomic annotation.
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