期刊论文详细信息
Plant Methods
Maize microarray annotation database
Dave K Berger2  Alexander A Myburg1  Nanette Coetzer3 
[1] Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, 0028, South Africa;Department of Plant Science, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, 0028, South Africa;Bioinformatics and Computational Biology Unit, Department of Biochemistry, University of Pretoria, Private Bag X20, 0028, South Africa
关键词: B73;    annotation;    microarray;    maize;    Agilent;   
Others  :  822958
DOI  :  10.1186/1746-4811-7-31
 received in 2011-06-28, accepted in 2011-10-01,  发布年份 2011
PDF
【 摘 要 】

Background

Microarray technology has matured over the past fifteen years into a cost-effective solution with established data analysis protocols for global gene expression profiling. The Agilent-016047 maize 44 K microarray was custom-designed from EST sequences, but only reporter sequences with EST accession numbers are publicly available. The following information is lacking: (a) reporter - gene model match, (b) number of reporters per gene model, (c) potential for cross hybridization, (d) sense/antisense orientation of reporters, (e) position of reporter on B73 genome sequence (for eQTL studies), and (f) functional annotations of genes represented by reporters. To address this, we developed a strategy to annotate the Agilent-016047 maize microarray, and built a publicly accessible annotation database.

Description

Genomic annotation of the 42,034 reporters on the Agilent-016047 maize microarray was based on BLASTN results of the 60-mer reporter sequences and their corresponding ESTs against the maize B73 RefGen v2 "Working Gene Set" (WGS) predicted transcripts and the genome sequence. The agreement between the EST, WGS transcript and gDNA BLASTN results were used to assign the reporters into six genomic annotation groups. These annotation groups were: (i) "annotation by sense gene model" (23,668 reporters), (ii) "annotation by antisense gene model" (4,330); (iii) "annotation by gDNA" without a WGS transcript hit (1,549); (iv) "annotation by EST", in which case the EST from which the reporter was designed, but not the reporter itself, has a WGS transcript hit (3,390); (v) "ambiguous annotation" (2,608); and (vi) "inconclusive annotation" (6,489). Functional annotations of reporters were obtained by BLASTX and Blast2GO analysis of corresponding WGS transcripts against GenBank.

The annotations are available in the Maize Microarray Annotation Database http://MaizeArrayAnnot.bi.up.ac.za/ webcite, as well as through a GBrowse annotation file that can be uploaded to the MaizeGDB genome browser as a custom track.

The database was used to re-annotate lists of differentially expressed genes reported in case studies of published work using the Agilent-016047 maize microarray. Up to 85% of reporters in each list could be annotated with confidence by a single gene model, however up to 10% of reporters had ambiguous annotations. Overall, more than 57% of reporters gave a measurable signal in tissues as diverse as anthers and leaves.

Conclusions

The Maize Microarray Annotation Database will assist users of the Agilent-016047 maize microarray in (i) refining gene lists for global expression analysis, and (ii) confirming the annotation of candidate genes before functional studies.

【 授权许可】

   
2011 Coetzer et al; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140712122901974.pdf 332KB PDF download
Figure 1. 83KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Kirst M, Caldo R, Casati P, Tanimoto G, Walbot V, Wise RP, Buckler ES: Genetic diversity contribution to errors in short oligonucleotide microarray analysis. Plant Biotechnology Journal 2006, 4:489-98.
  • [2]Sekhon RS, Lin H, Childs KL, Hansey CN, Buell CR, de Leon N, Kaeppler SM: Genome-wide atlas of transcription through maize development. Plant Journal 2011, 1-11.
  • [3]Galbraith DW, Edwards J: Applications of Microarrays for Crop Improvement: Here, There, and Everywhere. BioScience 2010, 60:337-348.
  • [4]Wang D, Oses-Prieto JA, Li KH, Fernandes JF, Burlingame AL, Walbot V: The male sterile 8 mutation of maize disrupts the temporal progression of the transcriptome and results in the mis-regulation of metabolic functions. Plant Journal 2010, 1:939-951.
  • [5]Agilent Technologies [http://www.agilent.com] webcite
  • [6]Coetzer N, Gazendam I, Oelofse D, Berger DK: SSHscreen and SSHdb, generic software for microarray based gene discovery: application to the stress response in cowpea. Plant Methods 2010, 6:10. BioMed Central Full Text
  • [7]Ma J, Skibbe DS, Fernandes J, Walbot V: Male reproductive development: gene expression profiling of maize anther and pollen ontogeny. Genome Biology 2008, 9:R181. BioMed Central Full Text
  • [8]Agilent Technologies: eArray [https://earray.chem.agilent.com/earray/] webcite
  • [9]Schnable PS, Ware D, Fulton RS, Stein JC, Wei F, Pasternak S, Liang C, Zhang J, Fulton L, Graves TA, Minx P, Reily AD, Courtney L, Kruchowski SS, Tomlinson C, Strong C, Delehaunty K, Fronick C, Courtney B, Rock SM, Belter E, Du F, Kim K, Abbott RM, Cotton M, Levy A, Marchetto P, Ochoa K, Jackson SM, Gillam B, et al.: The B73 maize genome: complexity, diversity, and dynamics. Science 2009, 326:1112-5.
  • [10]Ma J, Morrow DJ, Fernandes J, Walbot V: Comparative profiling of the sense and antisense transcriptome of maize lines. Genome Biology 2006, 7:R22. BioMed Central Full Text
  • [11]Ma J, Duncan D, Morrow DJ, Fernandes J, Walbot V: Transcriptome profiling of maize anthers using genetic ablation to analyze pre-meiotic and tapetal cell types. Plant Journal 2007, 50:637-48.
  • [12]Chou H-H, Hsia A-P, Mooney DL, Schnable PS: Picky: oligo microarray design for large genomes. Bioinformatics 2004, 20:2893-902.
  • [13]Maize Oligonucleotide Array Project [http://www.maizearray.org] webcite
  • [14]Cock PJA, Antao T, Chang JT, Chapman BA, Cox CJ, Dalke A, Friedberg I, Hamelryck T, Kauff F, Wilczynski B, de Hoon MJL: Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics 2009, 25:1422-1423.
  • [15]Maizesequence.org FTP site [http://ftp.maizesequence.org/current/] webcite
  • [16]Wei F, Zhang J, Zhou S, He R, Schaeffer M, Collura K, Kudrna D, Faga BP, Wissotski M, Golser W, Rock SM, Graves TA, Fulton RS, Coe E, Schnable PS, Schwartz DC, Ware D, Clifton SW, Wilson RK, Wing RA: The physical and genetic framework of the maize B73 genome. PLoS Genetics 2009, 5:e1000715.
  • [17]Sen TZ, Andorf CM, Schaeffer ML, Harper LC, Sparks ME, Duvick J, Brendel VP, Cannon E, Campbell DA, Lawrence CJ: MaizeGDB becomes "sequence-centric". Database 2009, 2009:bap020-bap020.
  • [18]Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. Journal of Molecular Biology 1990, 215:403-10.
  • [19]Poulsen L, Søe MJ, Snakenborg D, Møller LB, Dufva M: Multi-stringency wash of partially hybridized 60-mer probes reveals that the stringency along the probe decreases with distance from the microarray surface. Nucleic Acids Research 2008, 36:e132.
  • [20]Slater GSC, Birney E: Automated generation of heuristics for biological sequence comparison. BMC Bioinformatics 2005, 6:31. BioMed Central Full Text
  • [21]Emrich SJ, Barbazuk WB, Li L, Schnable PS: Gene discovery and annotation using LCM-454 transcriptome sequencing. Genome Research 2007, 17:69-73.
  • [22]Donmez N, Bazykin Ga, Brudno M, Kondrashov AS: Polymorphism due to multiple amino acid substitutions at a codon site within Ciona savignyi. Genetics 2009, 181:685-90.
  • [23]Conesa A, Götz S, García-Gómez JM, Terol J, Talón M, Robles M: Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 2005, 21:3674-6.
  • [24]Ramm M, Dangoor K, Sayfan G: Rapid Web Applications with TurboGears: Using Python to Create Ajax-Powered Sites. Prentice Hall PTR Upper Saddle River, NJ, USA; 2006.
  • [25]Copeland R: Essential SQLAalchemy. O'Reilly; 2008.
  • [26]Sen TZ, Harper LC, Schaeffer ML, Andorf CM, Seigfried TE, Campbell DA, Lawrence CJ: Choosing a genome browser for a Model Organism Database: surveying the maize community. Database 2010, 2010:baq007.
  • [27]Jin H, Vacic V, Girke T, Lonardi S, Zhu J-K: Small RNAs and the regulation of cis-natural antisense transcripts in Arabidopsis. BMC Molecular Biology 2008, 9:6. BioMed Central Full Text
  • [28]Lai J, Li R, Xu X, Jin W, Xu M, Zhao H, Xiang Z, Song W, Ying K, Zhang M, Jiao Y, Ni P, Zhang J, Li D, Guo X, Ye K, Jian M, Wang B, Zheng H, Liang H, Zhang X, Wang S, Chen S, Li J, Fu Y, Springer NM, Yang H, Wang J, Dai J, Schnable PS, Wang J: Genome-wide patterns of genetic variation among elite maize inbred lines. Nature Genetics 2010, 1-5.
  • [29]MaizeGDB: B73 RefGen_v2 sequence [http://gbrowse.maizegdb.org/cgi-bin/gbrowse/maize_v2/] webcite
  • [30]Casati P, Walbot V: Maize lines expressing RNAi to chromatin remodeling factors are similarly hypersensitive to UV-B radiation but exhibit distinct transcriptome responses. Epigenetics 2008, 3:216-29.
  • [31]Skibbe DS, Fernandes JF, Medzihradszky KF, Burlingame AL, Walbot V: Mutator transposon activity reprograms the transcriptomes and proteomes of developing maize anthers. Plant Journal 2009, 59:622-33.
  • [32]Rajhi I, Yamauchi T, Takahashi H, Nishiuchi S, Shiono K, Watanabe R, Mliki A, Nagamura Y, Tsutsumi N, Nishizawa NK, Nakazono M: Identification of genes expressed in maize root cortical cells during lysigenous aerenchyma formation using laser microdissection and microarray analyses. New Phytologist 2011, 190:1469-8137.
  • [33]Law PJ, Claudel-Renard C, Joubert F, Louw AI, Berger DK: MADIBA: a web server toolkit for biological interpretation of Plasmodium and plant gene clusters. BMC Genomics 2008, 9:105. BioMed Central Full Text
  • [34]Gertz EM, Sengupta K, Difilippantonio MJ, Ried T, Schäffer AA: Evaluating annotations of an Agilent expression chip suggests that many features cannot be interpreted. BMC Genomics 2009, 10:566. BioMed Central Full Text
  • [35]Gaj S, van ErkA, van HaaftenRIM, Evelo CTA: Linking microarray reporters with protein functions. BMC Bioinformatics 2007, 8:360. BioMed Central Full Text
  • [36]Dai M, Wang P, Boyd AD, Kostov G, Athey B, Jones EG, Bunney WE, Myers RM, Speed TP, Akil H, Watson SJ, Meng F: Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data. Nucleic Acids Research 2005, 33:e175.
  • [37]Smyth GK: Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology 2004, 3:1-26.
  文献评价指标  
  下载次数:11次 浏览次数:23次