Limits...
The transcriptome of equine peripheral blood mononuclear cells.

Pacholewska A, Drögemüller M, Klukowska-Rötzler J, Lanz S, Hamza E, Dermitzakis ET, Marti E, Gerber V, Leeb T, Jagannathan V - PLoS ONE (2015)

Bottom Line: We also identified 7,531 transcripts not associated with any horse gene annotated in public databases.Of these, 3,280 transcripts did not have a homologous match to any sequence deposited in the NCBI EST database suggesting horse specificity.Our results provide valuable detailed information on many transcripts yet to be annotated in the horse genome.

View Article: PubMed Central - PubMed

Affiliation: Swiss Institute of Equine Medicine, Vetsuisse Faculty, University of Bern and Agroscope, Bern, Switzerland; Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.

ABSTRACT
Complete transcriptomic data at high resolution are available only for a few model organisms with medical importance. The gene structures of non-model organisms are mostly computationally predicted based on comparative genomics with other species. As a result, more than half of the horse gene models are known only by projection. Experimental data supporting these gene models are scarce. Moreover, most of the annotated equine genes are single-transcript genes. Utilizing RNA sequencing (RNA-seq) the experimental validation of predicted transcriptomes has become accessible at reasonable costs. To improve the horse genome annotation we performed RNA-seq on 561 samples of peripheral blood mononuclear cells (PBMCs) derived from 85 Warmblood horses. The mapped sequencing reads were used to build a new transcriptome assembly. The new assembly revealed many alternative isoforms associated to known genes or to those predicted by the Ensembl and/or Gnomon pipelines. We also identified 7,531 transcripts not associated with any horse gene annotated in public databases. Of these, 3,280 transcripts did not have a homologous match to any sequence deposited in the NCBI EST database suggesting horse specificity. The unknown transcripts were categorized as coding and noncoding based on predicted coding potential scores. Among them 230 transcripts had high coding potential score, at least 2 exons, and an open reading frame of at least 300 nt. We experimentally validated 9 new equine coding transcripts using RT-PCR and Sanger sequencing. Our results provide valuable detailed information on many transcripts yet to be annotated in the horse genome.

No MeSH data available.


Distribution of the number of exons in the putative new equine transcripts.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4366165&req=5

pone.0122011.g004: Distribution of the number of exons in the putative new equine transcripts.

Mentions: The 7,531 unknown transcripts contained between one and seven exons (Fig. 4) and spanned from 49 to 44,080 bp. The majority of these transcripts (n = 5,281; 70%) were single-exon transcripts (Table 1) of length range 49–41,526 bp (median = 1,448 bp). The expression of the unknown transcripts across samples ranged from 0 to 1.87 x 106 FPKM (median = 1.23 FPKM; mean = 389.60 FPKM).


The transcriptome of equine peripheral blood mononuclear cells.

Pacholewska A, Drögemüller M, Klukowska-Rötzler J, Lanz S, Hamza E, Dermitzakis ET, Marti E, Gerber V, Leeb T, Jagannathan V - PLoS ONE (2015)

Distribution of the number of exons in the putative new equine transcripts.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4366165&req=5

pone.0122011.g004: Distribution of the number of exons in the putative new equine transcripts.
Mentions: The 7,531 unknown transcripts contained between one and seven exons (Fig. 4) and spanned from 49 to 44,080 bp. The majority of these transcripts (n = 5,281; 70%) were single-exon transcripts (Table 1) of length range 49–41,526 bp (median = 1,448 bp). The expression of the unknown transcripts across samples ranged from 0 to 1.87 x 106 FPKM (median = 1.23 FPKM; mean = 389.60 FPKM).

Bottom Line: We also identified 7,531 transcripts not associated with any horse gene annotated in public databases.Of these, 3,280 transcripts did not have a homologous match to any sequence deposited in the NCBI EST database suggesting horse specificity.Our results provide valuable detailed information on many transcripts yet to be annotated in the horse genome.

View Article: PubMed Central - PubMed

Affiliation: Swiss Institute of Equine Medicine, Vetsuisse Faculty, University of Bern and Agroscope, Bern, Switzerland; Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland.

ABSTRACT
Complete transcriptomic data at high resolution are available only for a few model organisms with medical importance. The gene structures of non-model organisms are mostly computationally predicted based on comparative genomics with other species. As a result, more than half of the horse gene models are known only by projection. Experimental data supporting these gene models are scarce. Moreover, most of the annotated equine genes are single-transcript genes. Utilizing RNA sequencing (RNA-seq) the experimental validation of predicted transcriptomes has become accessible at reasonable costs. To improve the horse genome annotation we performed RNA-seq on 561 samples of peripheral blood mononuclear cells (PBMCs) derived from 85 Warmblood horses. The mapped sequencing reads were used to build a new transcriptome assembly. The new assembly revealed many alternative isoforms associated to known genes or to those predicted by the Ensembl and/or Gnomon pipelines. We also identified 7,531 transcripts not associated with any horse gene annotated in public databases. Of these, 3,280 transcripts did not have a homologous match to any sequence deposited in the NCBI EST database suggesting horse specificity. The unknown transcripts were categorized as coding and noncoding based on predicted coding potential scores. Among them 230 transcripts had high coding potential score, at least 2 exons, and an open reading frame of at least 300 nt. We experimentally validated 9 new equine coding transcripts using RT-PCR and Sanger sequencing. Our results provide valuable detailed information on many transcripts yet to be annotated in the horse genome.

No MeSH data available.