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Using the transcriptome to annotate the genome revisited: application of massively parallel signature sequencing (MPSS)

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Title Using the transcriptome to annotate the genome revisited: application of massively parallel signature sequencing (MPSS)
 
Creator Shah, Tushaar
Villiers, Etienne P. de
Nene, Vishvanath
Hass, B.
Taracha, E.A.
Gardner, J.M.
Sansom, C.
Pelle, Roger
Bishop, Richard P.
 
Subject animal diseases
 
Description Trushar Shah, Etienne de Villiers, Evans Taracha, Roger Pelle and Richard Bishop are ILRI authors
Transcriptome analysis can provide useful data for refining genome sequence annotation. Application of massively parallel signature sequencing (MPSS) revealed reproducible transcription, in multiple MPSS cycles, from 73% of computationally predicted genes in the Theileria parva schizont lifecycle stage. Signatures spanning consecutive exons confirmed 142 predicted introns. MPSS identified 83 putative genes, > 100 codons overlooked by annotation software, and 139 potentially incorrect gene models (with either truncated ORFs or overlooked exons) by interfacing signature locations with stop codon maps. Twenty representative models were confirmed as likely to be incorrect using reverse transcription PCR amplification from independent schizont cDNA preparations. More than 50% of the 60 putative single copy genes in T. parva that were absent from the genome of the closely related T. annulata had MPSS signatures. This study illustrates the utility of MPSS for improving annotation of small, gene-rich microbial eukaryotic genomes.
 
Date 2006-01
2010-05-07T11:03:00Z
2010-05-07T11:03:00Z
 
Type Journal Article
 
Identifier Shah, T.; Villiers, E. de; Nene, V.; Hass, B.; Taracha, E.; Gardner, J.M.; Sansom, C.; Pelle, R.; Bishop, R. 2006. Using the transcriptome to annotate the genome revisited: application of massively parallel signature sequencing (MPSS). Gene 366(1):104-108.
0378-1119
https://hdl.handle.net/10568/1404
https://doi.org/10.1016/j.gene.2005.08.011
 
Language en
 
Rights Copyrighted; all rights reserved
Limited Access
 
Format p. 104-108
 
Publisher Elsevier
 
Source Gene