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Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence

Wheat biologists face particular problems because of the lack of genomic sequence and the three homoeologous genomes which give rise to three very similar forms for many transcripts. However, over 1.3 million available public-domain Triticeae ESTs (of which ∼850 000 are wheat) and the full rice geno...

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Autores principales: Mitchell, Rowan A. C., Castells-Brooke, Nathalie, Taubert, Jan, Verrier, Paul J., Leader, David J., Rawlings, Christopher J.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933201/
https://www.ncbi.nlm.nih.gov/pubmed/17439966
http://dx.doi.org/10.1093/nar/gkm220
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author Mitchell, Rowan A. C.
Castells-Brooke, Nathalie
Taubert, Jan
Verrier, Paul J.
Leader, David J.
Rawlings, Christopher J.
author_facet Mitchell, Rowan A. C.
Castells-Brooke, Nathalie
Taubert, Jan
Verrier, Paul J.
Leader, David J.
Rawlings, Christopher J.
author_sort Mitchell, Rowan A. C.
collection PubMed
description Wheat biologists face particular problems because of the lack of genomic sequence and the three homoeologous genomes which give rise to three very similar forms for many transcripts. However, over 1.3 million available public-domain Triticeae ESTs (of which ∼850 000 are wheat) and the full rice genomic sequence can be used to estimate likely transcript sequences present in any wheat cDNA sample to which PCR primers may then be designed. Wheat Estimated Transcript Server (WhETS) is designed to do this in a convenient form, and to provide information on the number of matching EST and high quality cDNA (hq-cDNA) sequences, tissue distribution and likely intron position inferred from rice. Triticeae EST and hq-cDNA sequences are mapped onto rice loci and stored in a database. The user selects a rice locus (directly or via Arabidopsis) and the matching Triticeae sequences are assembled according to user-defined filter and stringency settings. Assembly is achieved initially with the CAP3 program and then with a single nucleotide polymorphism (SNP)-analysis algorithm designed to separate homoeologues. Alignment of the resulting contigs and singlets against the rice template sequence is then displayed. Sequences and assembly details are available for download in fasta and ace formats, respectively. WhETS is accessible at http://www4.rothamsted.bbsrc.ac.uk/whets.
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spelling pubmed-19332012007-07-31 Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence Mitchell, Rowan A. C. Castells-Brooke, Nathalie Taubert, Jan Verrier, Paul J. Leader, David J. Rawlings, Christopher J. Nucleic Acids Res Articles Wheat biologists face particular problems because of the lack of genomic sequence and the three homoeologous genomes which give rise to three very similar forms for many transcripts. However, over 1.3 million available public-domain Triticeae ESTs (of which ∼850 000 are wheat) and the full rice genomic sequence can be used to estimate likely transcript sequences present in any wheat cDNA sample to which PCR primers may then be designed. Wheat Estimated Transcript Server (WhETS) is designed to do this in a convenient form, and to provide information on the number of matching EST and high quality cDNA (hq-cDNA) sequences, tissue distribution and likely intron position inferred from rice. Triticeae EST and hq-cDNA sequences are mapped onto rice loci and stored in a database. The user selects a rice locus (directly or via Arabidopsis) and the matching Triticeae sequences are assembled according to user-defined filter and stringency settings. Assembly is achieved initially with the CAP3 program and then with a single nucleotide polymorphism (SNP)-analysis algorithm designed to separate homoeologues. Alignment of the resulting contigs and singlets against the rice template sequence is then displayed. Sequences and assembly details are available for download in fasta and ace formats, respectively. WhETS is accessible at http://www4.rothamsted.bbsrc.ac.uk/whets. Oxford University Press 2007-07 2007-04-16 /pmc/articles/PMC1933201/ /pubmed/17439966 http://dx.doi.org/10.1093/nar/gkm220 Text en © 2007 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 Articles
Mitchell, Rowan A. C.
Castells-Brooke, Nathalie
Taubert, Jan
Verrier, Paul J.
Leader, David J.
Rawlings, Christopher J.
Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence
title Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence
title_full Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence
title_fullStr Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence
title_full_unstemmed Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence
title_short Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence
title_sort wheat estimated transcript server (whets): a tool to provide best estimate of hexaploid wheat transcript sequence
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933201/
https://www.ncbi.nlm.nih.gov/pubmed/17439966
http://dx.doi.org/10.1093/nar/gkm220
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