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Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis

Motivation: The sequencing of the Plasmodium yoelii genome, a model rodent malaria parasite, has greatly facilitated research for the development of new drug and vaccine candidates against malaria. Unfortunately, only preliminary gene models were annotated on the partially sequenced genome, mostly b...

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Autores principales: Vaughan, Ashley, Chiu, Sum-Ying, Ramasamy, Gowthaman, Li, Ling, Gardner, Malcolm J., Tarun, Alice S., Kappe, Stefan H.I., Peng, Xinxia
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718618/
https://www.ncbi.nlm.nih.gov/pubmed/18586738
http://dx.doi.org/10.1093/bioinformatics/btn140
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author Vaughan, Ashley
Chiu, Sum-Ying
Ramasamy, Gowthaman
Li, Ling
Gardner, Malcolm J.
Tarun, Alice S.
Kappe, Stefan H.I.
Peng, Xinxia
author_facet Vaughan, Ashley
Chiu, Sum-Ying
Ramasamy, Gowthaman
Li, Ling
Gardner, Malcolm J.
Tarun, Alice S.
Kappe, Stefan H.I.
Peng, Xinxia
author_sort Vaughan, Ashley
collection PubMed
description Motivation: The sequencing of the Plasmodium yoelii genome, a model rodent malaria parasite, has greatly facilitated research for the development of new drug and vaccine candidates against malaria. Unfortunately, only preliminary gene models were annotated on the partially sequenced genome, mostly by in silico gene prediction, and there has been no major improvement of the annotation since 2002. Results: Here we report on a systematic assessment of the accuracy of the genome annotation based on a detailed analysis of a comprehensive set of cDNA sequences and proteomics data. We found that the coverage of the current annotation tends to be biased toward genes expressed in the blood stages of the parasite life cycle. Based on our proteomic analysis, we estimate that about 15% of the liver stage proteome data we have generated is absent from the current annotation. Through comparative analysis we identified and manually curated a further 510 P. yoelii genes which have clear orthologs in the P. falciparum genome, but were not present or incorrectly annotated in the current annotation. This study suggests that improvements of the current P. yoelii genome annotation should focus on genes expressed in stages other than blood stages. Comparative analysis will be critically helpful for this re-annotation. The addition of newly annotated genes will facilitate the use of P. yoelii as a model system for studying human malaria. Contact: xinxia.peng@sbri.org; stefan.kappe@sbri.org Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-27186182009-07-31 Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis Vaughan, Ashley Chiu, Sum-Ying Ramasamy, Gowthaman Li, Ling Gardner, Malcolm J. Tarun, Alice S. Kappe, Stefan H.I. Peng, Xinxia Bioinformatics Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto Motivation: The sequencing of the Plasmodium yoelii genome, a model rodent malaria parasite, has greatly facilitated research for the development of new drug and vaccine candidates against malaria. Unfortunately, only preliminary gene models were annotated on the partially sequenced genome, mostly by in silico gene prediction, and there has been no major improvement of the annotation since 2002. Results: Here we report on a systematic assessment of the accuracy of the genome annotation based on a detailed analysis of a comprehensive set of cDNA sequences and proteomics data. We found that the coverage of the current annotation tends to be biased toward genes expressed in the blood stages of the parasite life cycle. Based on our proteomic analysis, we estimate that about 15% of the liver stage proteome data we have generated is absent from the current annotation. Through comparative analysis we identified and manually curated a further 510 P. yoelii genes which have clear orthologs in the P. falciparum genome, but were not present or incorrectly annotated in the current annotation. This study suggests that improvements of the current P. yoelii genome annotation should focus on genes expressed in stages other than blood stages. Comparative analysis will be critically helpful for this re-annotation. The addition of newly annotated genes will facilitate the use of P. yoelii as a model system for studying human malaria. Contact: xinxia.peng@sbri.org; stefan.kappe@sbri.org Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2008-07-01 /pmc/articles/PMC2718618/ /pubmed/18586738 http://dx.doi.org/10.1093/bioinformatics/btn140 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto
Vaughan, Ashley
Chiu, Sum-Ying
Ramasamy, Gowthaman
Li, Ling
Gardner, Malcolm J.
Tarun, Alice S.
Kappe, Stefan H.I.
Peng, Xinxia
Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis
title Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis
title_full Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis
title_fullStr Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis
title_full_unstemmed Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis
title_short Assessment and improvement of the Plasmodium yoelii yoelii genome annotation through comparative analysis
title_sort assessment and improvement of the plasmodium yoelii yoelii genome annotation through comparative analysis
topic Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718618/
https://www.ncbi.nlm.nih.gov/pubmed/18586738
http://dx.doi.org/10.1093/bioinformatics/btn140
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