The Library

A Brassica exon array for whole-transcript gene expression profiling

Tools

Love, Christopher G., Graham, Neil S. , Ó Lochlainn, Seosamh, Bowen, Helen C., May, Sean T., White, Philip J., Broadley, Martin R., Hammond, John P. and King , Graham J.. (2010) A Brassica exon array for whole-transcript gene expression profiling. PL o S One, Vol.5 (No.9). ISSN 1932-6203

PDF
WRAP_Hammond_journal.pone.0012812[1].pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (934Kb)

Official URL: http://dx.doi.org/10.1371/journal.pone.0012812

Abstract

Affymetrix GeneChip® arrays are used widely to study transcriptional changes in response to developmental and environmental stimuli. GeneChip® arrays comprise multiple 25-mer oligonucleotide probes per gene and retain certain advantages over direct sequencing. For plants, there are several public GeneChip® arrays whose probes are localised primarily in 3′ exons. Plant whole-transcript (WT) GeneChip® arrays are not yet publicly available, although WT resolution is needed to study complex crop genomes such as Brassica, which are typified by segmental duplications containing paralogous genes and/or allopolyploidy. Available sequence data were sampled from the Brassica A and C genomes, and 142,997 gene models identified. The assembled gene models were then used to establish a comprehensive public WT exon array for transcriptomics studies. The Affymetrix GeneChip® Brassica Exon 1.0 ST Array is a 5 µM feature size array, containing 2.4 million 25-base oligonucleotide probes representing 135,201 gene models, with 15 probes per gene distributed among exons. Discrimination of the gene models was based on an E-value cut-off of 1E−5, with ≤98% sequence identity. The 135 k Brassica Exon Array was validated by quantifying transcriptome differences between leaf and root tissue from a reference Brassica rapa line (R-o-18), and categorisation by Gene Ontologies (GO) based on gene orthology with Arabidopsis thaliana. Technical validation involved comparison of the exon array with a 60-mer array platform using the same starting RNA samples. The 135 k Brassica Exon Array is a robust platform. All data relating to the array design and probe identities are available in the public domain and are curated within the BrassEnsembl genome viewer at http://www.brassica.info/BrassEnsembl/index.html .

Item Type:

Journal Article

Subjects:

Q Science > QK Botany
Q Science > QH Natural history > QH426 Genetics

Divisions:

Faculty of Science > Life Sciences (2010- ) > Warwick HRI (2004-2010)

Library of Congress Subject Headings (LCSH):

Brassica -- Genetics, Brassica -- Genome mapping, Exons (Genetics), Genetic transcription

Journal or Publication Title:

PL o S One

Publisher:

Public Library of Science

ISSN:

1932-6203

Official Date:

16 September 2010

Dates:

Date	Event
16 September 2010	Published

Volume:

Vol.5

Number:

No.9

Identification Number:

10.1371/journal.pone.0012812

Status:

Peer Reviewed

Access rights to Published version:

Open Access

Funder:

Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), Scotland. Environment and Rural Affairs Dept. (SEERAD)

Grant number:

BBG013969 (BBSRC)

References:

1. Willenbrock H, Salomon J, Søkilde R, Barken KB, Hansen TN, et al. (2009)
Quantitative miRNA expression analysis: Comparing microarrays with nextgeneration
sequencing. RNA 15: 2028–2034.
2. Bradford JR, Hey Y, Yates T, Li Y, Pepper SD, et al. (2010) A comparison of
massively parallel nucleotide sequencing with oligonucleotide microarrays for
global transcription profiling. BMC Genomics 11: 282.
3. Millenaar FF, Okyere J, May ST, van Zanten M, Voesenek LACJ, et al. (2006)
How to decide? Different methods of calculating gene expression from short
oligonucleotide array data will give different results. BMC Bioinformatics 7: 137.
4. Edgar R, Domrachev M, Lash AE (2002) Gene Expression Omnibus: NCBI
gene expression and hybridization array data repository. Nucleic Acids Research
30: 207–210.
5. Craigon DJ, James N, Okyere J, Higgins J, Jotham J, et al. (2004) NASCArrays:
a repository for microarray data generated by NASC’s transcriptomics service.
Nucleic Acids Research 32: D575–D577.
6. Parkinson H, Kapushesky M, Kolesnikov N, Rustici G, Shojatalab M, et al.
(2009) ArrayExpress update from an archive of functional genomics experiments
to the atlas of gene expression. Nucleic Acids Research 37: D868–872.
7. Hammond JP, Bowen HC, White PJ, Mills V, Pyke KA, et al. (2006) A
comparison of the Thlaspi caerulescens and T. arvense shoot transcriptomes. New
Phytologist 170: 239–260.
8. Hammond JP, Broadley MR, Craigon DJ, Higgins J, Emmerson Z, et al. (2005)
Using genomic DNA-based probe-selection to improve the sensitivity of highdensity
oligonucleotide arrays when applied to heterologous species. Plant
Methods 1: 10.
9. Morinaga S, Nagano AJ, Miyazaki S, Kubo M, Fukuda TDH, et al. (2008)
Ecogenomics of cleistogamous and chasmogamous flowering: genome-wide gene
expression patterns from cross-species microarray analysis in Cardamine kokaiensis
(Brassicaceae). Journal of Ecology 96: 1086–1097.
10. Broadley MR, White PJ, Hammond JP, Graham NS, Bowen HC, et al. (2008)
Evidence of neutral transcriptome evolution in plants. New Phytologist 180:
587–593.
11. Kapur K, Xing Y, Ouyang Z, Wong WH (2007) Exon arrays provide accurate
assessments of gene expression. Genome Biology 8: R82.
12. Gardina PJ, Clark TA, Shimada B, Staples MK, Yang Q, et al. (2006)
Alternative splicing and differential gene expression in colon cancer detected by
a whole genome exon array. BMC Genomics 7: 325.
13. West MAL, van Leeuwen H, Kozik A, Kiebenstein DJ, Doerge RW, et al. (2006)
High-density haplotyping with microarray-based expression and single feature
polymorphism markers in Arabidopsis. Genome Research 16: 787–795.
14. Bernardo AN, Bradbury PJ, Ma HX, Hu SW, Bowden RL, et al. (2009)
Discovery and mapping of single feature polymorphisms in wheat using
Affymetrix arrays. BMC Genomics 10: 251.
15. Bruce M, Hess A, Bai J, Mauleon R, Diaz MG, et al. (2009) Detection of
genomic deletions in rice using oligonucleotide microarrays. BMC Genomics 10:
129.
16. Yamada K, Lim J, Dale JM, Chen H, Shinn P, et al. (2003) Empirical analysis of
transcriptome activity in the Arabidopsis genome. Science: 302: 842–846.
17. Stolc V, Samanta M P, Tongprasit W, Sethi H, Liang S, Nelson DC, et al.
(2005) Identification of transcribed sequences in Arabidopsis thaliana by using highresolution
genome tiling arrays. PNAS 102: 4453–4458.
18. Rehrauer H, Aquino C, Gruissem W, Henz SR, Hilson P, et al. (2010)
AGRONOMICS1: A new resource for Arabidopsis transcriptome profiling.
Plant Physiology 152: 487–499.
19. Parkin IAP, Gulden SM, Sharpe AG, Lukens L, Trick M, et al. (2005)
Segmental structure of the Brassica napus genome based on comparative analysis
with Arabidopsis thaliana. Genetics 171: 765–781.
20. Kim JS, Chung Y, King GJ, Jin M, Yang TJ, et al. (2006) A sequence-tagged
linkage map of Brassica rapa. Genetics 174: 29–39.
21. Schranz ME, Song B-H, Windsor AJ, Mitchell-Olds T (2007) Comparative
genomics in the Brassicaceae: a family-wide perspective. Current Opinion in
Plant Biology 10: 168–175.
22. Trick M, Cheung F, Drou N, Fraser F, Lobenhofer EK, et al. (2009a) A newlydeveloped
community microarray resource for transcriptome profiling in Brassica
species enables the confirmation of Brassica-specific expressed sequences. BMC
Plant Biology 9: 50.
23. Huang X, Madan A (1999) CAP3: A DNA sequence assembly program.
Genome Research 9: 868–877.
24. Trick M, Long Y, Meng J, Bancroft I (2009b) Single nucleotide polymorphism
(SNP) discovery in the polyploidy Brassica napus using Solexa transcriptome
sequencing. Plant Biotechnology Journal 7: 334–346.
25. Zerbino DR, Birney E (2008) Velvet: algorithms for de novo short read assembly
using de Bruijn graphs. Genome Research 18: 821–829.
26. Altschul SF, Madden TL, Scha¨ ffer AA, Zhang J, Zhang Z, et al. (1997) Gapped
BLAST and PSI-BLAST: a new generation of protein database search
programs. Nucleic Acids Research 25: 3389–3402.
27. The UniProt Consortium (2009) The Universal Protein Resource (UniProt)
2009. Nucleic Acids Research 37: D169–174.
28. Korf I (2004) Gene finding in novel genomes. BMC Bioinformatics 5: 59.
29. Haas BJ, Delcher AL, Mount SM, Wortman JR, Smith RK, et al. (2003)
Improving the Arabidopsis genome annotation using maximal transcript
alignment assemblies. Nucleic Acids Research 31: 5654–5666.
30. Stephenson P, Baker D, Girin T, Perez A, Amoah S, et al. (2010) A rich
TILLING resource for studying gene function in Brassica rapa. BMC Plant
Biology 10: 62.
31. Swarbreck D, Wilks C, Lamesch P, Berardini TZ, Garcia-Hernandez M, et al.
(2008) The Arabidopsis Information Resource (TAIR): gene structure and
function annotation. Nucleic Acids Research 36: D1009–1014.
32. Schmid M, Davison TS, Henz SR, Pape UJ, Demar M, et al. (2005) A gene
expression map of Arabidopsis thaliana development. Nature Genetics 37:
501–506.
33. Yauk CL, Berndt ML, Williams A, Douglas GR (2004) Comprehensive
comparison of six microarray technologies. Nucleic Acid Res 32(15): e124.
34. Allemeersch J, Durinck S, Vanderhaeghen R, Alard P, Maes R, et al. (2005)
Benchmarking the CATMA microarray. A novel tool for Arabidopsis
transcriptome analysis. Plant Physiology 137: 588–601.
35. Sanchez-Gralliet O, Roswell J, Langdon WB, Stalteri M, Arteaga-Salas JM,
et al. (2008) Widespread existence of uncorrelated probe intensities from within
the same probeset on Affymetrix GeneChips. Journal of Integrative Bioinformatics
5: 98.
36. Sanchez-Gralliet O, Stalteri M, Roswell J, Upton GJG, Harrison AP (2010)
Using surveys of Affymetrix GeneChips to study antisense expression. Journal of
Integrative Bioinformatics 7(2).
37. Upton GJG, Sanchez-Gralliet O, Roswell J, Arteaga-Salas JM, Graham NS,
et al. (2009) On the causes of outliers in Affymetrix GeneChip data. Briefings in
functional genomics and proteomics 8: 199–212.