Abstract
ppdb (http://ppdb.agr.gifu-u.ac.jp) is a web-based plant promoter database that provides promoter information of each gene in genomes of Arabidopsis, rice, poplar, and Physcomitrella patens. In this database, recognition of a promoter structure is achieved by annotating genome sequences with our sequence lists of bioinformatically identified octamers for core promoter structure (TATA boxes, Initiators, Y Patches, GA and CA Elements) and regulatory element groups (REGs), together with information of transcription start sites (TSSs) that have been experimentally identified. Our promoter elements are octamer sequences that show strongly biased localization profiles in the promoter region, extracted by the local distribution of short sequence (LDSS) analysis. In addition, REGs are linked with the information of the PLACE database and also with their physiological roles that are predicted using large-scale gene expression data.
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References
Wang Z, Gerstein M, Snyder M (2009) RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet 10:57–63. doi:10.1038/nrg2484
Trapnell C, Williams BA, Pertea G et al (2010) Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol 28:511–515. doi:10.1038/nbt.1621
Yamaguchi-Shinozaki K, Shinozaki K (1994) A novel cis-acting element in an Arabidopsis gene is involved in responsiveness to drought, low-temperature, or high-salt stress. Plant Cell 6:251–264. doi:10.1105/tpc.6.2.251
Narusaka Y, Nakashima K, Shinwari ZK et al (2003) Interaction between two cis -acting elements, ABRE and DRE, in ABA-dependent expression of Arabidopsis rd29A gene in response to dehydration and high-salinity stresses. Plant J 34:137–148
Tokizawa M, Kobayashi Y, Saito T et al (2015) SENSITIVE TO PROTON RHIZOTOXICITY1, CALMODULIN BINDING TRANSCRIPTION ACTIVATOR2, and other transcription factors are involved in ALUMINUM-ACTIVATED MALATE TRANSPORTER1 expression. Plant Physiol 167:991–1003. doi:10.1104/pp.114.256552
Higo K, Ugawa Y, Iwamoto M, Korenaga T (1999) Plant cis-acting regulatory DNA elements (PLACE) database: 1999. Nucleic Acids Res 27:297–300. doi:10.1093/nar/27.1.297
Mortazavi A, Williams BA, McCue K et al (2008) Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods 5:621–628. doi:10.1038/nmeth.1226
Yamamoto YY, Ichida H, Matsui M et al (2007) Identification of plant promoter constituents by analysis of local distribution of short sequences. BMC Genomics 8:67. doi:10.1186/1471-2164-8-67
Yamamoto YY, Ichida H, Abe T et al (2007) Differentiation of core promoter architecture between plants and mammals revealed by LDSS analysis. Nucleic Acids Res 35:6219–6226. doi:10.1093/nar/gkm685
Okumura T, Makiguchi H, Makita Y et al (2007) Melina II: a web tool for comparisons among several predictive algorithms to find potential motifs from promoter regions. Nucleic Acids Res 35:W227–W231. doi:10.1093/nar/gkm362
Bailey TL, Johnson J, Grant CE, Noble WS (2015) The MEME suite. Nucleic Acids Res 43:W39–W49. doi:10.1093/nar/gkv416
Yamamoto YY, Yoshioka Y, Hyakumachi M et al (2011) Prediction of transcriptional regulatory elements for plant hormone responses based on microarray data. BMC Plant Biol 11:39. doi:10.1186/1471-2229-11-39
Hieno A, Naznin HA, Hyakumachi M et al (2014) Ppdb: Plant Promoter Database Version 3.0. Nucleic Acids Res 42:D1188–D1192. doi:10.1093/nar/gkt1027
Yamamoto YY, Yoshioka Y, Hyakumachi M, Obokata J (2011) Characteristics of core promoter types with respect to gene structure and expression in Arabidopsis thaliana. DNA Res 18:333–342. doi:10.1093/dnares/dsr020
Eisen MB, Spellmann PT, Brown PO, Botstein D (1999) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci U S A 95:12930–12933. doi:10.1073/pnas.95.25.14863
Yamamoto YY, Yoshitsugu T, Sakurai T et al (2009) Heterogeneity of Arabidopsis core promoters revealed by high-density TSS analysis. Plant J 60:350–362. doi:10.1111/j.1365-313X.2009.03958.x
Lamesch P, Berardini TZ, Li D et al (2012) The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools. Nucleic Acids Res 40:D1202–D1210. doi:10.1093/nar/gkr1090
Ohyanagi H, Tanaka T, Sakai H et al (2006) The Rice Annotation Project Database (RAP-DB): hub for Oryza sativa ssp. japonica genome information. Nucleic Acids Res 34:D741–D744. doi:10.1093/nar/gkj094
Sakai H, Lee SS, Tanaka T et al (2013) Rice annotation project database (RAP-DB): an integrative and interactive database for rice genomics. Plant Cell Physiol 54:1–11. doi:10.1093/pcp/pcs183
Rensing SA, Lang D, Zimmer AD et al (2008) The Physcomitrella genome reveals evolutionary insights into the conquest of land by plants. Science 319:64–69. doi:10.1126/science.1150646
Zimmer AD, Lang D, Buchta K et al (2013) Reannotation and extended community resources for the genome of the non-seed plant Physcomitrella patens provide insights into the evolution of plant gene structures and functions. BMC Genomics 14:498. doi:10.1186/1471-2164-14-498
Tuskan GA, Difazio S, Jansson S et al (2006) The genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science 313:1596. doi:10.1126/science.1128691
Seki M (2002) Functional annotation of a full-length arabidopsis cDNA collection. Science 296:141–145. doi:10.1126/science.1071006
Kikuchi S, Satoh K, Nagata T et al (2003) Collection, mapping, and annotation of over 28,000 cDNA clones from japonica rice. Science 301:376–379. doi:10.1126/science.1081288
Nishiyama T, Miyawaki K, Ohshima M et al (2012) Digital gene expression profiling by 5’-end sequencing of cDNAs during reprogramming in the moss Physcomitrella patens. PLoS One 7:e36471. doi:10.1371/journal.pone.0036471
Nanjo T, Sakurai T, Totoki Y et al (2007) Functional annotation of 19,841 Populus nigra full-length enriched cDNA clones. BMC Genomics 8:448. doi:10.1186/1471-2164-8-448
Franco-Zorrilla JM, Lopez-Vidriero I, Carrasco JL et al (2014) DNA-binding specificities of plant transcription factors and their potential to define target genes. Proc Natl Acad Sci 111:2367–2372. doi:10.1073/pnas.1316278111
Weirauch MT, Yang A, Albu M et al (2014) Determination and inference of eukaryotic transcription factor sequence specificity. Cell 158:1431–1443. doi:10.1016/j.cell.2014.08.009
Acknowledgment
We thank Hushna Ara Naznin at Gifu University for critical reading of the manuscript. This work was in part supported by Grant-in-Aids for Scientific Research on Priority Areas “Comparative Genomics” and Publication of Scientific Research Results from Ministry of Education, Culture, Sports, Science and Technology (MEXT), Grant-in-Aids for Scientific Research for Publication of Scientific Research Results (Databases, #238049) from MEXT, a grant-in-aids from Sumitomo Foundation, and a grant-in-aids from Gifu University.
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Kusunoki, K., Yamamoto, Y.Y. (2017). Plant Promoter Database (PPDB). In: van Dijk, A. (eds) Plant Genomics Databases. Methods in Molecular Biology, vol 1533. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6658-5_18
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DOI: https://doi.org/10.1007/978-1-4939-6658-5_18
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