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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.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.Transcriptome sequencing represents a powerful tool to expand on equine annotation and identify novel targets for further laminitis research.

SUBMITTER: Holl HM 

PROVIDER: S-EPMC4592545 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Generation of a de novo transcriptome from equine lamellar tissue.

Holl Heather M HM   Gao Shan S   Fei Zhangjun Z   Andrews Caroline C   Brooks Samantha A SA  

BMC genomics 20151003


<h4>Background</h4>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 involv  ...[more]

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