Junshi Yazaki, Zenpei Shimatani, Akiko Hashimoto, Yuko Nagata, Fumiko Fujii, Keiichi Kojima, Kohji Suzuki, Toshiki Taya, Mio Tonouchi, Charles Nelson, Allen Nakagawa, Yasuhiro Otomo, Kazuo Murakami, Kenichi Matsubara, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki and Shoshi Kikuchi Physiol Genomics 17:87-100, 2004. First published Feb 24, 2004; doi:10.1152/physiolgenomics.00201.2003 You might find this additional information useful... Supplemental material for this article can be found at: http://physiolgenomics.physiology.org/cgi/content/full/00201.2003/DC1 This article cites 39 articles, 16 of which you can access free at: http://physiolgenomics.physiology.org/cgi/content/full/17/2/87#BIBL
Gibberellin Regulates Mitochondrial Pyruvate Dehydrogenase Activity in Rice A. Jan, H. Nakamura, H. Handa, H. Ichikawa, H. Matsumoto and S. Komatsu Plant Cell Physiol., February 1, 2006; 47 (2): 244-253. [Abstract] [Full Text] [PDF] Global Patterns of Gene Expression in the Aleurone of Wild-Type and dwarf1 Mutant Rice P. C. Bethke, Y.-s. Hwang, T. Zhu and R. L. Jones Plant Physiology, February 1, 2006; 140 (2): 484-498. [Abstract] [Full Text] [PDF] Updated information and services including high-resolution figures, can be found at: http://physiolgenomics.physiology.org/cgi/content/full/17/2/87 Additional material and information about Physiological Genomics can be found at: http://www.the-aps.org/publications/pg
This information is current as of November 28, 2008 .
Physiological Genomics publishes results of a wide variety of studies from human and from informative model systems with techniques linking genes and pathways to physiology, from prokaryotes to eukaryotes. It is published quarterly in January, April, July, and October by the American Physiological Society, 9650 Rockville Pike, Bethesda MD 20814-3991. Copyright © 2005 by the American Physiological Society. ISSN: 1094-8341, ESSN: 1531-2267. Visit our website at http://www.the-aps.org/.
Downloaded from physiolgenomics.physiology.org on November 28, 2008
This article has been cited by 3 other HighWire hosted articles: Whole plant responses, key processes, and adaptation to drought stress: the case of rice H. Lafitte, G. Yongsheng, S. Yan and Z-K Li J. Exp. Bot., January 1, 2007; 58 (2): 169-175. [Abstract] [Full Text] [PDF]
Physiol Genomics 17: 87–100, 2004. First published February 24, 2004; 10.1152/physiolgenomics.00201.2003.
CALL FOR PAPERS
Comparative Genomics
Transcriptional profiling of genes responsive to abscisic acid and gibberellin in rice: phenotyping and comparative analysis between rice and Arabidopsis Junshi Yazaki,1 Zenpei Shimatani,2 Akiko Hashimoto,2 Yuko Nagata,2 Fumiko Fujii,1 Keiichi Kojima,3 Kohji Suzuki,3 Toshiki Taya,4 Mio Tonouchi,4 Charles Nelson,5 Allen Nakagawa,5 Yasuhiro Otomo,6 Kazuo Murakami,6 Kenichi Matsubara,6,7 Jun Kawai,8 Piero Carninci,9 Yoshihide Hayashizaki,8,9 and Shoshi Kikuchi1 1
Department of Molecular Genetics, National Institute of Agrobiological Sciences, Tsukuba, Ibaraki 305-8602, Japan; Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries, Tsukuba, Ibaraki 305-0854, Japan; 3 Hitachi Software Engineering, Tokyo 140-0002, Japan; 4Agilent Technologies, Tokyo 190-0033, Japan; 5Agilent Technologies, Palo Alto, California 94304; 6Laboratory of Genome Sequencing and Analysis Group, Foundation for the Advancement of International Science, Tsukuba, Ibaraki 305-0062, Japan; 7Nara Institute of Science and Technology, Ikoma, Nara 630-0101, Japan; 8Laboratory for Genome Exploration Research Group, Institute of Physical and Chemical Research (RIKEN) Genomic Sciences Center, RIKEN Yokohama Institute, Yokohama, Kanagawa 230-0045, Japan; and 9Genome Science Laboratory, RIKEN, Hirosawa, Wako, Saitama 351-0198, Japan 2
Yazaki, Junshi, Zenpei Shimatani, Akiko Hashimoto, Yuko Nagata, Fumiko Fujii, Keiichi Kojima, Kohji Suzuki, Toshiki Taya, Mio Tonouchi, Charles Nelson, Allen Nakagawa, Yasuhiro Otomo, Kazuo Murakami, Kenichi Matsubara, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki, and Shoshi Kikuchi. Transcriptional profiling of genes responsive to abscisic acid and gibberellin in rice: phenotyping and comparative analysis between rice and Arabidopsis. Physiol Genomics 17: 87–100, 2004. First published February 24, 2004; 10.1152/physiolgenomics.00201.2003.—We collected and completely sequenced 32,127 full-length complementary DNA clones from Oryza sativa L. ssp. japonica cv. “Nipponbare.” Mapping of these clones to genomic DNA revealed ⬃20,500 transcriptional units (TUs) in the rice genome. For each TU, we selected 60-mers using an algorithm that took into account some DNA conditions such as base composition and sequence complexity. Using in situ synthesis technology, we constructed oligonucleotide arrays with these TUs on glass slides. We targeted RNAs prepared from normally grown rice callus and from callus treated with abscisic acid (ABA) or gibberellin (GA). We identified 200 ABA-responsive and 301 GA-responsive genes, many of which had never before been annotated as ABA or GA responsive in other expression analysis. Comparison of these genes revealed antagonistic regulation of almost all by both hormones; these had previously been annotated as being responsible for protein storage and defense against pathogens. Comparison of the cis-elements of genes responsive to one or antagonistic to both hormones revealed that the antagonistic genes had cis-elements related to ABA and GA responses. The genes responsive to only one hormone were rich in cis-elements that supported ABA and GA responses. In a search for the phenotypes of mutants in which a retrotransposon was inserted in these hormone-responsive genes, we identified phenotypes related to seed formation or plant height, including sterility, vivipary, and dwarfism. In comparison of cis-elements for hormone response genes between rice and Arabidopsis thaliana, we identified cis-elements for dehydration-stress response as Arabidopsis specific and for protein storage as rice specific. Article published online before print. See web site for date of publication (http://physiolgenomics.physiology.org). Address for reprint requests and other correspondence: S. Kikuchi, National Institute of Agrobiological Sciences, 2-1-2, Kannondai, Tsukuba, Ibaraki 305-8602, Japan (E-mail:
[email protected]).
genome-wide expression analysis; germination; dormancy; comparative genomics; cis-element RICE (Oryza sativa) is an important food crop that is useful as an experimental model because of its small genome size, extensive genetic map, relative ease of transformation, and synteny with other cereal crops. Draft sequences of the O. sativa L. ssp. indica (41) and japonica (8) genomes, obtained by the whole-genome shotgun sequencing method, have been published. The National Institute of Agrobiological Sciences (NIAS) at Tsukuba, Japan, and its collaborators have constructed useful tools for functional genomics through the Rice Genome Project of Japan. These tools consist of 32,127 fulllength cDNA (FL-cDNA) clones (18), over 600 expression profiles developed by using an 8,987-cDNA microarray (39), a high-quality genomic sequence that has 99.99% accuracy (5, 32), a genetic map with 3,267 DNA markers (9), rice material for genetic analysis, and about 50,000 transposon insertion lines (24). All the information from these tools can be accessed through the Rice PIPELINE system (40). These tools may be important for improving not only rice but also other cereals, because functionally important sequences are conserved and may be identified by their synteny. Of these tools, the FLcDNA clones, in particular, are necessary for the identification of exon-intron boundaries and gene-coding regions within genomic sequences and for comprehensive gene function analysis at transcriptional and translational levels. On the basis of the results of our large-scale FL-cDNA analysis (18), we have constructed a monitoring system that uses an oligonucleotide array to monitor gene transcriptional levels and to develop genome-wide functional analysis of rice. The array was composed of 21,938 probes with 60-mer oligonucleotides synthesized at a gene-specific region (2, 13, 34) from 32,127 FLcDNAs. Mapping of these cDNA clones to genomic DNA revealed that there are about 20,500 transcriptional units (TUs), and clustering of these cDNA clones revealed a unique clone set. Of the ⬃20,500 TUs located on genomic DNA, single
1094-8341/04 $5.00 Copyright © 2004 the American Physiological Society
87
Downloaded from physiolgenomics.physiology.org on November 28, 2008
Submitted 3 December 2003; accepted in final form 6 February 2004
88
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
MATERIALS AND METHODS
Rice FL-cDNA Clones
Plant Material and RNA Preparation The callus used for total RNA extraction was derived from the scutellum of the japonica rice cultivar “Nipponbare” and was cultivated in Murashige and Skoog medium (27) containing 10 M 2,4-dichlorophenoxyacetic acid. Such callus maintains the ability to develop roots and leaves. After the calluses had been cultured in the medium for 30 days, they were transferred to a medium containing the plant hormones ABA or GA and cultured for 3 days. The concentration of each plant hormone was adjusted to 50 M. After culturing, we used an RNeasy Plant Mini Kit (Qiagen, Tokyo, Japan) to extract total RNA from the hormone-treated calluses and from the control calluses (which were not treated with either hormone for the 3-day period). mRNA was isolated with an Oligotex-dt30 (Super) mRNA purification kit (Takara, Shiga, Japan). Purified mRNA was amplified, labeled, and hybridized to the rice 22,000-oligonucleotide array according to the manufacturer’s protocols (Agilent Technologies). For each experiment described in this study, the data presented represent averaged results from hybridization to four oligonucleotide arrays in two-dye swap experiments. Data Scanning, Quantification, and Processing The hybridized and washed material on each glass slide was scanned with an Agilent DNA microarray scanner (model G2565BA; Agilent Technologies). Feature Extraction and Image Analysis software (version A.6.1.1, Agilent Technologies), was used to locate and delineate every spot in the array and to integrate each spot’s intensity, filtering, and normalization by using the LOWESS (also know as “LOESS”) method (36, 37). From the four replications of each experiment we calculated the average ratio of expression of each spot after dividing the signal intensity of mRNA from hormone-treated callus by the signal intensity of that from untreated callus; these data were then subjected to LOWESS normalization. All of the expression profiles are available as gene series 661 (GSE661), including gene sample 9853 (GSM9853), GSM9854, GSM9855, GSM9856, GSM9857, GSM9858, GSM9859, and GSM9860 on gene platform 477 (GPL477) in the Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI; http:// www.ncbi.nlm.nih.gov/geo/).
All 32,127 FL-cDNA clones were generated by large-scale FLcDNA analysis as part of the Rice Full-length cDNA Project, which is a collaborative effort of NIAS, Foundation for the Advancement of International Science, and Institute of Physical and Chemical Research (RIKEN) under the supervision of the Bio-oriented Technology Research Advancement Institution (BRAIN) (18). A homology search was performed with BLASTN and BLASTX, and by homology searches of publicly available sequence data we assigned tentative protein functions. We used 21,938 TUs that were equivalent to ⬃32,000 FL-cDNA clones; to maximize the effective use of these ⬃32,000 published clones, in accordance with the recommendations of the manufacturer of oligonucleotide array (Agilent Technologies, Tokyo, Japan), the array format was 22,000 spots per glass slide. The functional annotations and identities (including accession numbers and related reference papers) of all ⬃32,000 rice FL-cDNA clones are listed in the Knowledge-based Oryza Molecular Biological Encyclopedia (KOME; http://cdna01.dna.affrc.go.jp/cDNA/).
After we had mapped the FL-cDNA links with the 22,000-oligonucleotide array on the rice genome, we performed a cis-element search. From the 5⬘-end sequences of the FL-cDNAs, the promoter sequences were obtained by comparison with the rice genomic sequences. We selected 1,000 bp of genomic sequences upstream from the 5⬘ terminus of each FL-cDNA clone by using the data from the TIGR Rice Genome Project (http://www.tigr.org/tdb/e2k1/osa1/ BACmapping/description.shtml) and searched for about total 300 cis-elements known in plants by using the PLACE cis-element database (11) (http://www.dna.affrc.go.jp/htdocs/PLACE/).
Rice High-Density Oligonucleotide Array Construction
Specification of Cis-Elements for Hormone-Responsive Genes in Rice
The array was composed of 21,938 probes with 60-mer oligonucleotides synthesized at a gene-specific region from 28,469 FLcDNAs. Mapping of these cDNA clones to genomic DNA revealed that there are ⬃20,500 TU, and clustering of these cDNA clones revealed a unique clone set. The probes were selected by means of these results. For each of the clones, we selected the top 60-mers by using an algorithm that took into account binding energy, base composition, sequence complexity, cross-hybridization binding energy, and secondary structure (2, 13, 34). We constructed the oligonucleotide arrays with these TUs on glass slides by using in situ synthesis technology under a customized contract with Agilent Technologies (2, 13, 34).
The cis-elements for hormone-responsive genes were compared among the gene groups in comparisons 1 and 2 below, and the types of cis-element of each gene group were characterized. Comparison 1. We compared cis-elements among genes that were upregulated by ABA, downregulated by GA, and both upregulated by ABA and downregulated by GA. For each of these three groups of genes, we divided the total number of each type of cis-element in each group by the number of genes in each group. We then compared the numbers of each type of cis-element per gene among the three groups. Comparison 2. We compared cis-elements among genes that were upregulated by GA, downregulated by ABA, and both upregulated by GA and downregulated by ABA. By the same method used in
Physiol Genomics • VOL
17 •
Cis-Element Search in Upstream Region of Rice Genes
www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
clones on TU are ⬃14,000 and multiple clones on TU are ⬃16,000 (⬃6,500 TUs). About 2,000 clones were unmapped according to incomplete genome sequences. The probes were selected from these results. We used the arrays as probes to hybridize target RNAs prepared from normally grown callus and from callus treated with abscisic acid (ABA) or gibberellin (GA). The interaction between ABA and GA is an important factor controlling the transition from embryogenesis to germination in seeds. The effects of these hormones are competitive, in that ABA promotes seed dormancy, whereas GA promotes seed germination. Cereals are excellent plants in which to explore the molecular mechanisms involved in hormonally regulated gene expression, particularly the antagonism between ABA and GA (14). Reports of such explorations (10, 22) have suggested the presence of cross talk, but these studies have investigated only part of the relationship between dormancy and germination in plants. In a previous study we elucidated the mechanisms of interaction between ABA and GA signaling in rice by using the above tools for rice functional genomics, including rice 8,987cDNA microarray (38). Here we describe a comprehensive transcriptional profiling of phytohormone response genes in rice, phenotype analysis, and comparative analysis of transcriptional regulators between rice and Arabidopsis, for which we used a more comprehensive and specific 21 938-oligonucleotide array.
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
comparison 1, we compared the numbers of cis-elements per gene among the three groups. We selected cis-elements that were present in at least two genes, and the cis-elements of each group were characterized. Cis-Element Search for Genes of Arabidopsis thaliana and Specification of Cis-Element for Rice and A. thaliana
Quantitative Real-Time PCR Two micrograms of mRNA from each callus was denatured at 65°C for 5 min and then transferred to a bath at 37°C and incubated for 5 min. At the same time, the first-strand reaction mix containing mouse reverse transcriptase and d(T)18 primer (Amersham Pharmacia, Tokyo, Japan) was held at 37°C for 5 min. The RNA solution was transferred to the first-strand reaction mix for synthesis of cDNA and incubated at 37°C for 60 min. Specific primers for real-time PCR were designed to work under the same experimental conditions (95°C for 10 min followed by 45 cycles of 95°C for 1 min and 60°C for 30 s), generating products of about 200–250 bp at the 3⬘-untranslated region (3⬘-UTR) of each expressed sequence tag (EST) clone on the rice 8,987-cDNA microarray (34). Genes encoding heat shock protein (AU062924) and polyubiquitin (AU108666, D22109) were tested as references for the hormonally treated and untreated samples. We chose the polyubiquitin gene (AU108666) for the standard lines because it was amplified by PCR faster than the other two genes were. Quantitative RT-PCR was performed with an iCycler (Bio-Rad, Tsukuba, Japan) and SYBR Green reagent (Qiagen). For each reaction, standard lines for both the treated and untreated samples were made by six fivefold serial dilutions. The relative amounts of the target gene were calculated by comparison with standard lines of the polyubiquitin gene (AU108666). RESULTS AND DISCUSSION
Genes with Altered Expression Levels in Callus Cultured with ABA for 3 days The standard deviation (SD) of the [log2(average ratio)] of four expression replications of the experiment was 0.270 after the removal of flagged data, and all the selected genes in Supplemental Table S1 (available at the Physiological Genomics web site)1 were contained within the area of the median (0.00) ⫾3SD over a normal distribution. The changes in gene 1 The Supplementary Material for this article (Supplemental Tables S1 through S10) is available online at http://physiolgenomics.physiology.org/ cgi/content/full/00201.2003/DC1.
Physiol Genomics • VOL
17 •
expression were contained in the area of the median (0.00) ⫾3SD over a normal distribution. Of the 200 genes selected, 110 were upregulated and 90 were downregulated by ABA; altered expression levels were identified from the expression profile of the analysis of the four oligonucleotide array analysis in two-dye swap experiments. Sixty-two of the 200 genes had functional annotations in a BLASTN search of the National Center for Biotechnology Information (NCBI; ⬎e-100) (Supplemental Table S1). All of the expression profiles for the four replications are available as GSE661, including GSM9853, GSM9854, GSM9855 and GSM9856, on GPL477 in the NCBI GEO database. The upregulated genes included gene homologs already reported as responding to ABA (see “hormone, ABA” category in Supplemental Table S1) (21). Four clones [gene homologs for aldose-reductase-related protein (AK066733), glucose and ribitol dehydrogenase (AK110652), lipid transfer protein (AK062506), and the gene for globulin-like protein (AK105347)] have been reported as responding not only to ABA but also to GA (34). Gene homologs for lipid transfer protein are not only ABA inducible but also salt and salicylic acid inducible (7). Furthermore, it has been reported that, for genes in the “storage protein” and “stress” categories in Supplemental Table S1, there is cross talk between responses to such factors as low-temperature stress and ABA response (20). The levels of expression of these genes verified the accuracy of the experimental conditions. The gene for PBZ1 (AK071613; “defense” category in Supplemental Table S1), which was upregulated in our experiments, has been reported as a pathogen-related-protein gene (23). Upregulation of genes and gene homologs for development, transcriptional factors, and generation and differentiation in Supplemental Table S1 was also detected with ABA treatment, although there were few compared with the GA-responsive genes (described later). This result suggests that the gene expression profiles in ABA-treated callus look very similar to that in cells in the dormancy process. Downregulated genes included those functionally annotated as responding to ABA (“hormone, ABA” category in Supplemental Table S1) (38). Also, downregulation of a gene homolog for auxin response related to gravitropism (AK101504) was detected with ABA treatment (“hormone, others” category in Supplemental Table S1). Genes and gene homologs that were related to cell division and differentiation of plant cells and that had not previously been reported as ABA responsive, such as senescence-associated protein (AK061848), root cap protein (AK108077), OsNAC3 (AK073667), and MADS-box-like protein (AK111859), were downregulated by ABA treatment (“development”, “generation, differentiation”, and “transcriptional factor” categories in Supplemental Table S1). Downregulation of these genes by ABA treatment, which demonstrated seed dormancy, are consistent with the fact that plant cells are at a decreased level of growth during seed dormancy. Fourteen defense-related genes and gene homologs were identified as belonging to distinct gene groups among those genes downregulated by ABA treatment that demonstrated seed dormancy (“defense” category in Supplemental Table S1). Eighty genes with unknown functions were upregulated by ABA treatment, and 58 were downregulated by ABA treatment. These unknown genes were newly classified as ABA-responsive genes (“unclassified” category in Supplemental Table S1). www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
The identifiers (IDs) of the Munich Information Center for Protein Sequences (MIPS ID; http://www.mips.biochem.mpg.de/) for A. thaliana genes corresponding to the rice FL-cDNA obtained were searched by means of KOME. Arabidopsis FL-cDNAs corresponding to the MIPS IDs of Arabidopsis genes obtained were searched using via the data from the RIKEN Arabidopsis Genome Encyclopedia (RARGE; http://rarge.gsc.riken.go.jp/). From the 5⬘-end sequences of the FL-cDNAs of Arabidopsis (http://cdna01.dna.affrc.go.jp/ cDNA/), the promoter sequences were obtained by comparison with the Arabidopsis genomic sequences on RARGE. We compared the numbers of cis-elements between genes that respond to ABA or GA in rice and corresponding genes in Arabidopsis and characterized the types of cis-element in each plant. To characterize cis-elements in each species, we divided the total number of each type of cis-element in each species by the number of genes in each species. We then compared the numbers of each type of cis-element per gene between the two kinds of species.
89
90
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
We compared ABA response genes in plants among our result and other results of comprehensive expression analysis (12, 29, 33) using MIPS code and accession ID (Table 1). Among them, 200 (this report), 1,401 (12), 43 (29), and 493 (33) genes are candidates for ABA-inducible genes, respectively. These inconsistencies of genes among these results may be attributed to the biological differences among plant species used, organ/tissues, ABA treatment condition, their response to ABA, and/or detection methodology. Genes with Altered Expression Levels in Callus Cultured with GA for 3 days
Physiol Genomics • VOL
17 •
www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
The SD of the [log2(average ratio)] of four replications of the experiment was 0.311 after removal of flagged data, and all the selected genes in Supplemental Table S2 were contained in the area of the median (0.00) ⫾3SD over a normal distribution. The changes in gene expression were contained within the area of the median (0.00) ⫾3SD over a normal distribution. Of the 301 genes selected, 206 were upregulated and 95 were downregulated; altered expression levels were identified by expression profile from analysis of the four oligonucleotide arrays in two-dye swap experiments. Of these genes, 103 had functional annotations in a BLASTN search on NCBI (⬎e-100) (Supplemental Table S2). All the expression profiles for the analysis of the four oligonucleotide arrays in dye swap experiments were available as GSE661, including GSM9857, GSM9858, GSM9859, and GSM9860 on GPL477 in GEO at NCBI (http://www.ncbi.nlm.nih.gov/geo/). The upregulated genes included genes reported as responding to GA (“hormone, GA” category in Supplemental Table S2) (38). Also, upregulation of genes for other hormone responses, including auxin-responsive genes related to response to light (AK059838) and gravitropism (AK101191), was detected after GA treatment (“hormone, others” category in Supplemental Table S2). Thirty-one genes for development, cell division, generation, and differentiation in Supplemental Table S2 that had previously not been reported as GA responsive were identified as being upregulated. Such cell-division-related genes for plant growth were not detected by ABA treatment. Twenty defense-related genes were identified as belonging to distinct functional categories among those genes upregulated by GA treatment (“defense” category in Supplemental Table S2). The ABA and GA treatments revealed genes responsive to various physiological events in addition to their already known response to ABA or GA. In particular, many genes for defense-related proteins were responsive to ABA and GA treatment. In expression analysis using the same oligonucleotide array, genes for defense-related proteins, including peroxidase, were also upregulated in germinating seeds (H. Yamada, NIAS, personal communication). The detection of many kinds of genes for defenserelated proteins suggests more strongly than our other report (38) that the ABA and GA response pathways have cross talk with pathogen-related pathways in rice callus. Besides, salicylic acid (SA), a hormone known to mediate disease response, has recently been shown to positively or negatively regulate cell enlargement and division (35), two physiological processes known to be controlled by GA. Therefore, expression profiles of defense-related genes in ABA and GA treatment callus show that may revealed the cross talk of SA, GA and ABA. Genes for stress response, such as the ABA-independent
OsDREB1B (AK062422; a drought-inducible gene) and a gene homolog for osmotic-inducible ankyrin kinase (AK100268), were upregulated by GA treatment (“stress” category in Supplemental Table S2). Such genes had not previously been reported as GA responsive, except for metallothionein-related gene homologs (AK062653, AK103445) (38). Some of the downregulated genes included had already been functionally annotated as responsive to GA (38) (“hormone, GA” and “storage protein” categories in Supplemental Table S2). These genes included homologs of genes for hydrophobic LEA-like protein (AK102039) and RAB24 (AK102982), which was reported as not only GA inducible but also antagonistically ABA inducible (upregulated) (38). Eight genes related to development had not previously been reported as GA responsive (“development” category in Supplemental Table S2). The gene homolog for calcium-binding protein, CaBP1, in barley kernels (AK063625), which carries a single calcium-binding EF-hand motif and one transmembrane helix and is upregulated by endogenous ABA (15), was downregulated by our GA treatment. The gene homolog of CaBP1 has shown that calcium-binding protein carrying a single EF-hand motif has Ca2⫹-binding activity (6). Also, the gene homolog of CaBP1 was upregulated by our ABA treatment in two of the four replicated experiments (data not shown in Supplemental Table S1; see deposited data for GSM9853 and GSM9854 of GSL661 in GEO at NCBI). The data from the other two replications (data not shown in Supplemental Table S1; see GSM9855 and GSM9856 of GSL661) on the DNA spotting on our microarray of the gene homolog were removed as flagged data of saturated signal intensity. The gene for CaBP1 of barley was continuously detected in the vascular tissues in barley kernels during development (15), and the gene homolog was upregulated by our ABA treatment and downregulated by our GA treatment. These facts suggest that the gene homolog’s product might play key roles as a calcium receptor in highly secretory organs during kernel development. In contrast, the gene for calmodulin-binding protein, glutamate decarboxylase (AK061977; OsGAD1), which is expressed in various tissues, including maturing seeds (1), was not only downregulated by our GA treatment but also upregulated by our ABA treatment (Supplemental Table S1). We can speculate that the relationship of this gene’s activity to seed formation is demonstrated by its upregulation by ABA treatment and downregulation by GA treatment. Some genes for stress response, such as gene homologs responsive to low-temperature stress (AK070872, AK073109) and genes responsive to submergence stress (AK058296), which had not previously been reported as GA responsive, were downregulated by GA (“stress” category in Supplemental Table S2). A gene (OsNAC4; AK073848) and gene homologs (OsNAC6; AK068606, AK107746) of the NAC family, related to development of plant tissue, were downregulated by our GA treatment (“transcriptional factor” category in Supplemental Table S2). The NAC family is a group of transcriptional factors expressed in specific tissues such as mature leaf (OsNAC3, 4, 6, 7, and 8), stem (OsNAC4, 6, 7, and 8), root (OsNAC4, 5, 6, 7, and 8), embryos after pollination (OsNAC5, 6, 7, and 8), and callus (OsNAC4, 5, 6, 7, and 8) (17). However, there has been no report of the induction of expression of these genes by GA treatment in tissues at the germination stage. Other homologs of the OsNAC family, including OsNAC3, 5, 7, and 8 on our array, were expressed at
17 •
www.physiolgenomics.org
2.5
1.9
9.4
2.8
2.3
2.9
6.6 6.1 4.7
006-210-H01 AK061224
AK100306
J023078G01
002-169-E03 AK110652
001-117-H05 AK063578
001-124-F05 AK105433
001-119-F01 AK063685
001-118-H06 AK063645 002-140-G05 AK108233 002-153-F10 AK108988
3.5
2.9
2.8 2.7 2.7
2.2
0.4
0.5
0.4
0.4 0.3
002-169-F02 AK110661
AK068272
002-175-E10 AK111075 J023037K22 AK069960 001-120-E03 AK063729
002-124-C12 AK107138
002-114-G10 AK106723
002-108-G04 AK064395
AK073667
J013146J07
J033052E11
002-111-B07 AK064485 001-123-G04 AK063959
Unknown Unknown
␣-Amylase/subtilisin inhibitor, BASI (H. vulgare) IAA (anxin indole-3-acetic acid)-glu synthetase, iaglu (Zea mays) OsNAC3 protein (O. sativa)
Hormone, ABA Hormone, others Transcriptional factor Unclassified Unclassified
At3g02040 Hypothetical protein At2g38290 Ammonium transporter AtAMT2
At1g73260 Putative trypsin inhibitor At2g43820 Putative glucosyltransferase At1g77450 GRAB1-like protein
Downregulated
Development
2h
5h
1.7
1.3
2.6
1.9
5.3
24 h
7.0 3.3
1.5 2.4 9.7 11.9 1.0 1.8 2.1
3.1
6.4
7.1
1.6 2.7 3.9
3.4
2.7
2.5
5.1
1.0 1.2 1.5
5.8 7.2 4.0
6.8 7.5 8.8 18.8 13.9
1.4 1.6 1.9
5.2 2.5 1.5
9.3
10 h
Ratio*
2.4 3.2 4.4
1h
3.1 17.0
18.1
3.7
⫺6.8
3.1
36.6
25.0
115.0
4.6 ⫺5.8 36.0
27.7
3.0
4.1
⫺4.4
Induction Factor†
BP433009 AK064768
BP432968 AK063578
BP432943 AK071637
FL-cDNA
Accession No.‡ EST
MIPS Code indicates gene identification of the sequence in the Munich Information Center for Protein Sequences (MIPS). *cDNA microarray data for a set of transcripts previously reported as ABA responsive (33) and modified here were compared with our expression data. †Expression profile of ABA-responsive gene previously reported (12) and modified here was compared with our data. ‡cDNA microarray data for a set of transcripts previously reported as ABA responsive (29) and modified here were compared with our data. Details of all experimental conditions refer to each report (12, 29, 33). See legend to Supplemental Table S1 for explanation of other column names. ABA, abscisic acid; FL-cDNA, full-length complementary DNA; EST, expressed sequence tag.
4.1
AK069274
MIPS Code
Upregulated
Category
At2g19900 Malate oxidoreductase (malic enzyme) Protein phosphatase 2C Development At5g24940 Protein phosphatase (Mesembryanthemum crystallinum) 2C-like protein Raffinose synthase, Rfs (Cucumis sativus) Development At5g40390 Glycosyl hydrolase family 36 Sucrose synthase type 2 (Triticum Development At3g43190 Sucrose synthase-like aestivum) protein Glucose and ribitol dehydrogenase Hormone, At1g54870 Dormancy related homolog (Hordeum vulgare) ABA protein, putative ABA-responsive protein (H. vulgare) Hormone, At5g13200 ABA-responsive ABA protein-like Heat shock protein, HSP101 (Oryza Stress At1g74310 Heat shock protein 101 sativa) (HSP101) Homeodomain leucine zipper protein, Transcriptional At2g46680 Homeodomain Oshox6 (O. sativa) factor transcription factor (ATHB-7) Unknown Unclassified At1g01470 Hypothetical protein Unknown Unclassified At2g22170 Unknown protein Unknown Unclassified At3g48530 Putative transcription factor X2 (O. sativa) Unknown Unclassified At1g07430 Protein phosphatase 2C (PP2C) Unknown Unclassified At1g03790 Unknown protein containing CCCHtype zinc finger Unknown Unclassified At5g59220 Protein phosphatase 2C (PP2C) Unknown Unclassified At1g27300 Hypothetical protein Unknown Unclassified At5g54160 O-methyltransferase 1 Unknown Unclassified At3g18280 Lipid transfer protein, putative Unknown Unclassified At5g14180 Putative protein
NADP-malic enzyme (Aloe arborescens)
Putative Gene Identification of Rice Gene
Putative Gene Identification of Arabidopsis Gene
Downloaded from physiolgenomics.physiology.org on November 28, 2008
Physiol Genomics • VOL
J023012K18
3.2
AK071637
J023101G03
3.3
AK073858
Accession No.
J033072B12
Clone Name
Average Ratio
Table 1. Comparison of identified ABA-inducible genes in rice with those of Arabidopsis and other report of rice
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
91
92
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Genes Responsive to Both Culture with GA and Culture with ABA To elucidate the interaction between ABA and GA, we selected 68 genes that had shown a response to both hormone treatments (Supplemental Table S3). Sixty-six of the 68 genes showed antagonistic responses to the 2 hormones. Twenty-five of these genes had functional annotations in a BLASTN search at NCBI (⬎e-100). Two genes were either upregulated or downregulated by both hormones. Of the 66 antagonistically regulated genes, 34 were upregulated by ABA and downregulated by GA, and 32 were downregulated by ABA and upregulated by GA. The former 34 genes included LEA family genes (AK102039, AK102982) previously reported as antagonistically responding to both hormones (“hormone” category in Supplemental Table S3) (38). Although there have been no previous reports of a gene for cysteine protease inhibitor (AK105278) having antagonistic responses to the two hormones, our result was not surprising, in that one would expect ABA to promote such a gene for inhibiting hydrolysis of storage protein and GA to inhibit it. The pattern of expression of a gene for cysteine proteinase (AK106508), which was downregulated by ABA and upregulated by GA, verifies this result. Genes and gene homologs for stress response, including response to low temperature (AK073109, AK070872), have cross talk with the ABA-responsive genes (20) that were detected in both our treatments (“stress” category in Supplemental Table S3). Gene homologs for homocysteine S-methyltransferase-4 (AK073362) and homeodomain leucine zipper protein (AK063685), which have various known functions, including roles as developmental regulators, were assigned new functions related to the ABA and GA response, which modeled seed dormancy and germination. The 32 genes in Supplemental Table S3 that were downregulated by ABA and upregulated by GA included 8 clones of defense-related genes and gene homologs that had not previously been reported as antagonistically responsive (38) (“defense” category in Supplemental Table S3) and gene homologs for development and stress (“development” and “stress” categories in Supplemental Table S3). Detection of such changes in the expression of these Physiol Genomics • VOL
17 •
defense-related genes and gene homologs by ABA and GA treatment suggests that the plant seed does not require high levels of protection from threats such as pathogens in the external environment, but that at germination the plant is more vulnerable and the defense-related genes are therefore upregulated. The fact that a gene for MADS-box-like protein (AK111859), which functions in the construction of the reproductive organs (30), was regulated antagonistically by ABA and GA suggests that the gene might have a new function related to seed dormancy and germination. Forty-two clones of genes with unknown functions were newly assigned functions as genes antagonistically responsive to ABA and GA treatment. Fifteen genes were reported as representing genes responsive to both hormones in our previous study, which used the rice 8,987-cDNA microarray and quantitative RT-PCR (38). In contrast, we detected 66 genes responsive to both culture with GA and culture with ABA, which is about 4 times as many as in previous reports (38), from an analysis of our oligonucleotide array. We hope that our results will add to the currently incomplete research data on the interaction between the ABA and GA responses in plant dormancy and germination. Specification of Cis-Elements of ABA- and GA-Responsive Genes To elucidate the mechanism of transcriptional regulation of the hormone-response systems of plants, we analyzed the cis-elements of genes that were responsive to our hormone treatment. We assigned our FL-cDNAs on the rice genome constructed by bacterial artificial chromosome (BAC) contigs from the results of the TIGR Rice Genome Project (http:// www.tigr.org/tdb/e2k1/osa1/BACmapping/description.shtml) and searched the cis-elements up to 1,000 bp upstream from the cDNA from the 5⬘ terminus in the rice genomic sequence. The results of this cis-element analysis of all the clones on our oligonucleotide array are available on the KOME web site. The numbers of all the types of cis-elements of genes responsive to our treatments are shown in Supplemental Tables S4 and S5. The results of comparison 1 (see MATERIALS AND METHODS) among 76 genes upregulated by ABA, 61 genes downregulated by GA, and 34 genes both upregulated by ABA and downregulated by GA are summarized in Table 2A. Two kinds of cis-element for light response (IBOX, BOXIIPCCHS) and seven for protein storage response were remarkably rich in the upstream regions of genes upregulated by ABA and downregulated by GA. Cis-elements for two kinds of storage protein (RAV1BAT, CANBNNAPA) were specified as elements of genes upregulated only by ABA in the comparison. Ciselements for defense (SEBFCONSSTPR10A), ethylene (ERELEE4), and development (ACGTCBOX) responses were specified as elements of genes downregulated only by GA in the comparison. Cis-elements for dehydration stress response (MYCATRD22) and light response (TBOXATGAPB) were specified as elements of both the gene group upregulated only by ABA and the group downregulated only by GA. The results of comparison 2 (see MATERIALS AND METHODS) among 173 genes upregulated by GA, 57 genes downregulated by ABA, and 32 genes both upregulated by GA and downregulated by ABA are summarized in Table 2B. Two kinds of cis-element for amylase (AMYBOX1, TATCCAOSAMY) were rich in the www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
almost the same level (average ratio ⫽ 1.0384) in GA-treated and untreated callus. (See deposited data, GSE661 including GSM9857 through GSM9860, at the NCBI GEO database.) The gene homolog (AK063685) for the homeodomain leucine zipper protein family, which has a role as a developmental regulator, was newly found to be downregulated by GA. We found 132 genes with unknown functions that were upregulated by GA treatment and 66 that were downregulated. These unknown genes were newly classified as GA responsive. We performed a comprehensive analysis of gene expression using callus tissue treated with ABA or GA. Genes for embryogenesis, germination, seed dormancy, and grain filling were included among those with altered expression levels. The fact that the experiments identified many already known ABAand GA-responsive genes in other tissues shows that callus tissue can be mimic the mechanisms of germination and dormancy. The high number of responsive genes detected showed that this analysis, which used our oligonucleotide array, was more efficient than those used in our other report (38) for genome-wide functional analysis of rice.
93
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Table 2. Specification of cis-elements of ABA- and GA-responsive genes Gene Group
Category
Cis-elements Specificities
A: Comparison of cis-element numbers among genes upregulated by ABA, downregulated by GA, and both upregulated by ABA and downregulated by GA Development Light Other hormone Protein storage
Downregulated by GA
Defense Development Light Other hormone Stress (dehydration) Light Storage protein Stress (dehydration)
Upregulated by ABA
MYBPZM IBOX, BOXIIPCCHS CATATGGMSAUR, MARTBOX RYREPEATVFLEB4, ACGTABREMOTIFA2OSEM, DPBFCOREDCDC3, CACGTGMOTIF, RYREPEATLEGUMINBOX, TATABOX3, RYREPEATGMGY2 SEBFCONSSTPR10A ACGTCBOX TBOXATGAPB ERELEE4 MYCATRD22 TBOXATGAPB RAV1BAT, CANBNNAPA MYCATRD22
B: Comparison of cis-element numbers among genes upregulated by GA, downregulated by ABA, and both upregulated by GA and downregulated by ABA Upregulated by GA, downregulated by ABA Upregulated by GA Downregulated by ABA
Amylase Light Stress (various) Defense Light Stress (various) Defense Development Stress (various)
AMYBOX1, TATCCAOSAMY IBOX, ⫺10PEHVPSBD MYBST1 SEBFCONSSTPR10A BOXIINTPATPB MYBPLANT, TATABOXOSPAL SEBFCONSSTPR10A ACGTABOX LTRECOREATCOR15, PALBOXAPC
“Cis-elements specificities” indicates cis-elements that are rich in the upstream regions of genes in each group. Details of each cis-element can be found in the PLACE database (http://www.dna.affrc.go.jp/htdocs/PLACE/). GA, gibberellin.
upstream regions of genes that were both upregulated by GA and downregulated by ABA. Genes downregulated by ABA and genes upregulated by GA were rich in cis-elements for stress response (MYBPLANT, TATABOXOSPAL, upregulated by GA; LTRECOREATCOR15, PALBOXAPC, downregulated by ABA) in the upstream regions. Cis-element for the defense response (SEBFCONSSTPR10A) was specified as an element common to both the gene group upregulated by GA and the group downregulated by ABA. These results suggest that antagonistic-response genes regulated by ABA treatment (Table 2A) or GA treatment (Table 2B) have cis-elements such as RYREPEATVFLEB4 (“protein storage” category in Table 2A) and AMYBOX1 (“amylase” category in Table 2B), which are related to seed dormancy and germination, respectively. In contrast, genes for response to only one of the two hormones are rich in elements such as MYCATRD22 [“stress (dehydration)” category in Table 2A] and SEBFCONSSTPR10A (“defense” category in Table 2B), which promote seed dormancy and germination, respectively. Cis-elements for stress response were richer in the gene groups of Table 2B than those of Table 2A. There are five elements for stress-response factor (MYBST1, MYBPLANT, TATABOXOSPAL, LTRECOREATCOR15, and PALBOXAPC) in Table 2B. MYBST1, for responding to various stresses, was included in the gene group both upregulated by GA and downregulated by ABA, which demonstrates that it is related to stress response in seed germination. In contrast, one element for dehydration stress response (MYCATRD22) was rich in genes upregulated by ABA and genes downregulated by GA (“stress” category in Table 2A). We speculate that plant cells are particularly susceptible to receive stress from the Physiol Genomics • VOL
17 •
external environment during germination, or that germination is in fact a phenomenon of self-stress. In addition, these results suggest that plant cells are resistant to receive stress from the external environment during seed dormancy. We compared the cis-elements for tissue-specific response between parts A and B of Table 2. There are nine kinds of cis-element for seed protein storage in Table 2A. Seven kinds of element for protein storage were included in the gene group both upregulated by ABA and downregulated by GA, demonstrating that this group is related to seed dormancy. In contrast, two elements (AMYBOX1, TATCCAOSAMY) for seed germination response were included in the gene group both upregulated by GA and downregulated by ABA (Table 2B) and were thus related to seed germination. The variety of cis-elements for protein storage in the gene group both upregulated by ABA and downregulated by GA (Table 2A), which mimics seed dormancy, is larger than those for amylase in the gene group both upregulated by GA and downregulated by ABA (Table 2B), which mimics germination. We do not know whether the cis-elements of the latter group have multiple functions or whether they are poorly represented on the PLACE database. In promoter sequences search of the ABA response genes obtained, we detected that several genes (AK064966, AK073100, AK073380, AK073777, AK073833, AK102307, AK103170, AK105316, AK106508, AK108159, AK110259, and AK110912 in Supplemental Table S4) did not contain any ABA-responsive element in their promoters as well as other report (29). These results suggest the existence of novel cisacting elements involved in ABA-inducible gene expression in their promoters. www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
Upregulated by ABA, downregulated by GA
94
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Phenotypes of Transposon Insertion Mutants
Table 3. Results of a phenotype search of insertion mutants of ABA-responsive genes, using Tos17 BLASTN Clone Name
Accession No.
Average Ratio
Tos17 ID
Phenotype
Putative Gene ID
002-112-G01
AK064587
4.82
NC2670_0_404_1A
No comment
Clone 26360 (Arabidopsis thaliana) Clone 26360 (A. thaliana)
002-112-G01
AK064587
4.82
H0732_1_102_1A
Dwarf
J033082H02
AK102075
3.14
NE8550_0_105_1A
Dwarf
Unknown
J013146J07
AK068272
2.91
T09854T
Sterility
Unknown
002-105-E08
AK064271
2.59
T14722T
Sterility
Unknown
001-114-G07
AK105258
2.35
ND5061_0_103_1A
No comment
Unknown
001-114-G07
AK105258
2.35
NE1520_0_101_1A
Unknown
006-303-C01
AK109407
0.47
NC0021_0_702_1A
002-173-G04
AK110936
0.39
NF5045_0_405_1A
White-based rice kernel Viviparous, Dwarf, Chlorina Growth delay, Zebra leaf, Dwarf
J023065A22
AK100268
0.36
NC0584_0_403_1A
No comment
J023065A22
AK100268
0.36
T01783T
Dwarf, Brittle
J023065A22
AK100268
0.36
T12791T
Lethal, Dwarf, Low germination rate
Unknown
Accession No.
Putative Gene ID
AY086623.1 Putative eukaryotic peptide chain release factor subunit 1 (A. thaliana) AY086623.1 Putative eukaryotic peptide chain release factor subunit 1 (A. thaliana) AT5g23390/T32G24_2 mRNA (A. thaliana) Nodule-enhanced protein phosphatase type 2C, NPP2C1 (Lotus japonicus) Heat stress transcription factor 30, Lp-hsf30 (Lycopersicon peruvianum) Zinc transporter protein, ZIP1 (Glycine max) Zinc transporter protein, ZIP1 (G. max) AT3g48690/T8P19_200 mRNA (A. thaliana)
Unknown
Ankyrin-kinase (Medicago truncatula) Ankyrin-kinase (M. truncatula) Ankyrin-kinase (M. truncatula)
BLASTX
AF458699.1 AF458699.1 AF458699.1
Accession No.
AY034963.1 AY034963.1 AY090230.1 AF092431.1
X67601.1
AY029321.1 AY029321.1 AY064980.1
Benzoic acid carboxyl methyltransferase, BAMT (Antirrhinum majus) Ankyrin-kinase (M. truncatula)
AF198492.1
Ankyrin-kinase (M. truncatula) Ankyrin-kinase (M. truncatula)
AF458699.1
AF458699.1
AF458699.1
“Tos17 ID” indicates the original identification number of the flanking sequence submitted to the Rice Tos17 Insertion Mutant Database. “Phenotype” indicates the original comment on the picture of the mutant submitted to the Rice Tos17 Insertion Mutant Database. See caption to Supplemental Table S1 for explanation of other column names. Physiol Genomics • VOL
17 •
www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
To elucidate the functions of the genes responsive to our treatments, we investigated the phenotypes of mutants in which the rice retrotransposon Tos17 was inserted in the regions of these responsive genes with the aid of a Tos17 mutant panel database (http://tos.nias.affrc.go.jp/). Tos17, which is highly activated by tissue culture, has been used for insertion mutagenesis of rice (24). The Tos17 mutant panel database enables one to link flanking sequences with phenotype information by using the BLAST program. With this database, one can perform gene function analysis by computer and reverse genetics. We obtained 12 insertion mutants from the 200 ABAresponsive genes (Table 3). Gene homologs for ankyrin kinase (AK100268), protein phosphatase type 2C (AK068272), and zinc transporter protein (AK105258) had functional annotations in a BLASTX search on NCBI (identities ⬎40%) and in published reports. The phenotypes of the insertion mutants of the gene homolog for ankyrin kinase (AK100268) of alfalfa, induced by not only ABA but also by GA, showed dwarfism, brittleness, and lethality. The gene, containing an NH2-terminal region with an ankyrin domain, plays a role in signal transduction in various developmental processes, particularly
in legumes at the onset of germination and during the early stage of nodule development (3). The phenotypes of dwarfism, brittleness, and lethality indicate growth delay and suggest that disruption of this gene led to reduced protein synthesis for plant growth using nitrogen because of disruption of nitrogen metabolism pathways. Because, unlike legumes, rice does not form root nodules, we speculate that this gene homolog may play a role in nitrogen metabolism with regard to plant growth dependent on ABA and GA signal transduction. The phenotype of the insertion mutant of the gene homolog for protein phosphatase (AK068272) of Lotus japonicus, which has a function in nodules that are in the process of initiating nitrogen fixation (16), showed sterility. Loss of function of the gene homolog in response to Tos17 insertion might reduce protein storage during seed formation by disruption of a nitrogen metabolism pathway. We speculate that the gene homolog may function partly in nitrogen metabolism with respect to seed formation dependent on ABA signal transduction. The phenotypes of insertion mutants of the gene homolog for zinc transporter protein (AK105258), which plays a housekeeping role in zinc metabolism of soybean nodules (26), showed abnormalities, kernel with a white base, of seed formation in
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Physiol Genomics • VOL
17 •
and cysteine synthase have an effect on tissue-specific development (seed formation) and may function farther downstream in the nitrogen metabolism pathway than the ankyrin kinase. However, because these two genes are regulated by different hormones, and one gene homolog (for cysteine synthase) is related to the sulfate metabolism pathway, the nitrogen metabolism pathway based on ABA metabolism might be different from that based on GA metabolism, and the two pathways of nitrogen metabolism may interact on ankyrin kinase (for ABA, ankyrin kinase 3 protein phosphatase; for GA, ankyrinkinase 3 cysteine synthase). Also, the zinc transporter, which has a transmembrane domain, has an effect on tissue-specific development (seed formation) and may function farther upstream in the nitrogen metabolism pathway than does protein phosphatase without interaction of ankyrin kinase with a transmembrane domain (zinc transporter 3 protein phosphatase). Second, the results in Table 4 suggest that GA signal transduction interacts with the cell wall metabolic pathway through its effects on mannosidase and invertase. We can speculate that mannosidase is relevant to polysaccharide metabolism, which has a wide effect on plant growth, and may function farther upstream in the cell wall metabolism pathway than invertase, which is relevant to disaccharide metabolism. Third, the results in Table 4 suggest that GA signal transduction interacts with signal transduction of biotic stress through Mlo8. We can speculate that other genes such as ankyrinkinase (plant height) and cysteine synthase (sterile) downstream of the protein of Mlo8 have a wide effect (plant height and sterility) on plant growth. These results and speculations, derived from phenotype analysis by molecular simulation using genome-wide expression profiles and a huge mutant collection, represent new knowledge of the systematic cataloguing of ABA and GA responses in rice. However, the phenotypes of transposon insertion mutants in our data are preliminary data from the Tos17 mutant panel database. The studies are underway not only to analyze whether they are a homozygous line or not but also to analyze consistent of the phenotype among different lines of the same gene and to analyze whether the mutant phenotypes are rescuable. Specification of Cis-Elements of ABA/GA-Responsive Genes in Rice Callus and Arabidopsis Genes Corresponding to Genes for ABA/GA Response of Rice Callus To characterize the mechanism of transcriptional regulation of the hormone response systems in rice, we analyzed ciselements of genes of Arabidopsis corresponding to genes for ABA response of rice and compared the types of cis-element in each species. In genes with cis-element more than one element in total number of each type of element, we showed ciselement profile of 116 (rice) and 94 (Arabidopsis) clones in Supplemental Tables S6 and S7, respectively. The results of comparison between 116 clones responsive to ABA in rice and 94 clones of corresponding Arabidopsis genes are summarized in Table 5. From all detected cis-elements, we selected ciselements for determination of specific elements that were present in at least two genes in either species and specific element were more than ⫾2-fold in the ratio of (rice/Arabidopsis). Also, we selected cis-elements for determination of www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
rice. Although of course rice does not form root nodules, the effects of zinc deficiency on nitrogen metabolism of meristematic tissues with regard to protein synthesis in rice have been reported (19). The phenotypes suggest that loss of function of the gene homolog of zinc transporter protein in response to Tos17 insertion might suppress protein synthesis. We speculate that this gene homolog’s product may function farther upstream in the nitrogen metabolism pathway than does protein phosphatase with regard to protein synthesis dependent on ABA signal transduction. We obtained 29 kinds of insertion mutant from the 301 GA-responsive genes (Table 4). Gene homologs for -mannosidase (AK068499), cysteine synthase (AK072457), ankyrin kinase (AK100268), and seven-transmembrane protein, Mlo8 (AK072733) had functional annotations in a BLASTX search of NCBI and in published reports. The phenotypes of tomato containing insertion mutants of the gene homolog for -mannosidase (AK068499), which is involved in the mobilization of galactomannans in the cell wall of the lateral endosperm in the early stages after germination (25), showed growth delay. Loss of function of the gene homolog in response to Tos17 insertion in rice might reduce the synthesis of proteins for plant growth by disrupting a carbohydrate metabolism pathway; accordingly, the phenotypes included growth delay. We speculate that the gene homolog may play a role in carbohydrate metabolism with regard to plant growth dependent on GA signal transduction. The phenotype of rice carrying the insertion mutant of the gene homolog for cysteine synthase (AK072457), which functions in the regulation of sulfur and nitrogen availability (28), included sterility. Loss of function of the gene homolog in response to Tos17 insertion might reduce protein storage ability during seed formation by disruption of a nitrogen metabolism pathway. We speculate that its protein product may function in nitrogen and sulfur metabolism with regard to seed formation dependent on GA signal transduction. The phenotypes of alfalfa carrying an insertion mutant of the gene homolog for ankyrin kinase (AK100268), induced not only by GA but also by ABA in our experiments, included dwarfism, brittleness, and lethality. We speculate that the gene functions as described at phenotyping of ABA response genes, earlier. The phenotype of rice insertion mutant of the gene homolog for Mlo8 (AK072733), which is involved in defense, response to biotic stress, and leaf senescence (4), included dwarfism and sterility. Loss of function of the gene homolog in response to Tos17 insertion might cause suppression of the cell development in plant height and seed formation, because of reduced stress response. From these phenotypic results and published reports, we suggest that ABA and GA signal transduction interacts with three signal-transduction pathways responsible for nutrient metabolism, cell wall metabolism, and biotic-stress defense. First, the phenotypic results in Tables 3 and 4 suggest that ABA and GA signal transduction interacts with nutrient metabolic pathways, especially in nitrogen metabolism, through gene homologs for ankyrin kinase, protein phosphatase, zinc transporter protein, and cysteine synthase. We can speculate that the gene homolog for ankyrin kinase, which has a transmembrane domain, has a wide effect on plant growth and may function further upstream in the nitrogen metabolism pathway than the products of the other two genes (protein phosphatase, cysteine synthase). And we suggest that protein phosphatase
95
96
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Table 4. Results of a phenotype search of insertion mutants of GA-responsive genes, using Tos17 BLASTN Clone Name
Accession No. Average Ratio
Tos17 ID
Phenotype
Putative Gene ID
BLASTX Accession No.
Putative Gene ID
001-019-H08 AK058750
0.35
NC0238_0_407_1A No comment
AB012107.1
001-113-C06 AK063277 001-200-B09 AK105614
2.24 2.64
NF3020_0_104_1A NF4021_0_401_1A
AB006809.1
002-112-E08 AK064577 002-112-E08 AK064577 J013000A05 AK064768
0.37 0.37 2.71
T24162T T08819T T11716T
J013099F12
AK067444
2.62
T11806T
J013099F12
AK067444
2.62
NE4523_0_501_1A
J013099F12
AK067444
2.62
NF1010_0_401_1A
J013099F12
AK067444
2.62
ND3069_0_103_1A
J013099F12
AK067444
2.62
T16055T
J013099F12
AK067444
2.62
T14840T
J013099F12
AK067444
2.62
T13126T
J013151A14 AK068457
2.57
NC0285_0_101_1A
J013151A14 AK068457
2.57
NC0347_0_103_1A
J013151A14 AK068457
2.57
NF8538_0_702_1A
J013155M12 AK068499
0.14
T14065T
J013155M12 AK068499
0.14
NF2766_0_106_1A
J023028D15 AK069659
2.52
NF7016_0_103_1A
J023065A22 AK100268
2.25
NC0584_0_403_1A
J023065A22 AK100268
2.25
T01783T
J023065A22 AK100268
2.25
T12791T
J023096E14 AK071445 J023123O18 AK072457
2.92 2.10
NF3013_0_732_1A NC0263_0_103_1A
J023140L15
AK072727
2.24
NC0230_0_105_1A
J023141N06 AK072733
2.87
T10727T
J023141N06 AK072733
2.87
T03437T
J023141N06 AK072733
2.87
ND8013_0_702_1A
J033136K04 AK103697
2.39
T15150T
See caption to Table 3 for explanation of column names.
Physiol Genomics • VOL
17 •
www.physiolgenomics.org
AF153825.1
AF030421.1 AF030421.1 AF030421.1 AF030421.1 AF030421.1 AF030421.1 AF030421.1 AY058177.1 AY058177.1 AY058177.1 AF403444.1 AF403444.1 AY051075.1 AF458699.1 AF458699.1 AF458699.1 AF073698.1 AF367321.1 AY029319.1
AY029319.1
AY029319.1
X63595.1
Downloaded from physiolgenomics.physiology.org on November 28, 2008
myo-Inositol AB012107.1 myo-Inositol phosphate synthase, phosphate RINO1 (O. sativa) synthase, RINO1 (Oryza sativa) No comment Unknown Unknown No comment Unknown PV72 (Cucurbita cv. Kurokawa Amakuri) No comment Unknown Unknown Vivipary Unknown Unknown Dwarf Caffeic acid 3-OAJ231133.1 Caffeic acid O-methyltransferase methyltransferase (Festuca arundinacea) (Saccharum officinarum) Albino Cell wall invertase, AF030421.1 Cell wall invertase, IVR3 (T. IVR3 (Triticum aestivum) aestivum) Albino Cell wall invertase, AF030421.1 Cell wall invertase, IVR3 (T. IVR3 (T. aestivum) aestivum) No comment Cell wall invertase, AF030421.1 Cell wall invertase, IVR3 (T. IVR3 (T. aestivum) aestivum) No comment Cell wall invertase, AF030421.1 Cell wall invertase, IVR3 (T. IVR3 (T. aestivum) aestivum) Albino Cell wall invertase, AF030421.1 Cell wall invertase, IVR3 (T. IVR3 (T. aestivum) aestivum) Sterile Cell wall invertase, AF030421.1 Cell wall invertase, IVR3 (T. IVR3 (T. aestivum) aestivum) White belly rice Cell wall invertase, AF030421.1 Cell wall invertase, IVR3 (T. kernel IVR3 (T. aestivum) aestivum) No comment Unknown At2g24280/F27D4.19 mRNA (Arabidopsis thaliana) Sterile Unknown At2g24280/F27D4.19 mRNA (A. thaliana) Sterile (fertility Unknown At2g24280/F27D4.19 mRNA (A. 10–25%) thaliana) No comment Unknown -Mannosidase enzyme (Lycopersicon esculentum) Chlorina, Unknown -Mannosidase enzyme (L. Growth esculentum) delay, sterile No comment Unknown Putative male sterility 2 protein (A. thaliana) No comment Ankyrin-kinase AF458699.1 Ankyrin-kinase (M. truncatula) (Medicago truncatula) Dwarf, Brittle Ankyrin-kinase (M. AF458699.1 Ankyrin-kinase (M. truncatula) truncatula) Lethal, Dwarf Ankyrin-kinase (M. AF458699.1 Ankyrin-kinase (M. truncatula) truncatula) No comment Unknown Unknown Sterile Cysteine synthase, AF073698.1 Cysteine synthase, rcs4 (O. rcs4 (O. sativa) sativa) No comment Unknown At2g42580/F14N22.15 mRNA (A. thaliana) No comment Seven AY029319.1 Seven transmembrane protein, transmembrane M1o8 (Z. mays) protein, M1o8 (Zea mays) No comment Seven AY029319.1 Seven transmembrane protein, transmembrane M1o8 (Z. mays) protein, M1o8 (Z. mays) Dwarf, Sterile Seven AY029319.1 Seven transmembrane protein, (fertility 50– transmembrane M1o8 (Z. mays) 70%) protein, M1o8 (Z. mays) No comment Unknown Chorismate synthase (Corydalis sempervirens)
Accession No.
97
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Table 5. Specification of cis-element of Arabidopsis and rice gene for ABA response Rice (116 clones)
Cis-element
Arabidopsis (94 clones)
Ratio
Category
Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Rice specific Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Common Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific Arabidopsis specific
81 314 86 131 70 44 69 59 113 69 97 171 169 265 305 298 1,454 947 938 304 260 200 160 240 162 1,004 613 547 242 1,222 1,119 242 251 352 199 48 44 34 57 37 0 30 118 0 0 0 0 0 0
INTRONLOWER CGACGOSAMY3 PALBOXAPC MYBPZM HEXAMERATH4 ABREOSRAB21 RAV1BAT ⫺10PEHVPSBD ⫺300ELEMENT RYREPEATGMGY2 RYREPEATLEGUMINBOX RYREPEATBNNAPA LTRECOREATCOR15 WBOXATNPR1 DPBFCOREDCDC3 RAV1AAT DOFCOREZM GT1CONSENSUS GATABOX IBOXCORE TATABOX5 INRNTPSADB CACGTGMOTIF POLASIG1 POLASIG3 GTGANTG10 POLLEN1LELAT52 ROOTMOTIFTAPOX1 TAAAGSTKST1 EBOXBNNAPA CAATBOX1 SEF4MOTIFGM7S CCAATBOX1 MYBCORE MYBST1 AMYBOX1 TATABOXOSPAL MYBGAHV TATABOX4 TATABOX3 C8GCARGAT TATAPVTRNALEU MARTBOX MYCCONSENSUSAT ACGTATERD1 ABRELATERD1 MYB1AT MYB2CONSENSUSAT MYCATERD1
17 62 10 41 13 0 19 0 0 19 31 58 60 223 140 301 1,477 948 899 320 338 215 96 326 224 682 651 700 329 812 1,128 249 227 213 146 83 73 59 103 74 208 51 192 812 576 201 181 96 61
3.86 4.1 6.97 2.59 4.36 ND 2.94 ND ND 2.94 2.54 2.39 2.28 0.96 1.77 0.8 0.8 0.81 0.85 0.77 0.62 0.75 1.35 0.6 0.59 1.19 0.76 0.63 0.6 1.22 0.8 0.79 0.9 1.34 1.11 0.47 0.49 0.47 0.45 0.41 ND 0.48 0.5 ND ND ND ND ND ND
3⬘ Intron-exon splice junctions Amylase Defense Development (pigmentation in floral organ) Histone H4 promoter Hormone: ABA Hormone: ABA Primary metabolism: light Protein storage Protein storage Protein storage Protein storage Stress: low temperature stress Defense Hormone: ABA Hormone: ABA Hormone: GA Primary metabolism: light Primary metabolism: light Primary metabolism: light Primary metabolism: light Primary metabolism: light Primary metabolism: light Primary metabolism: polyA Primary metabolism: polyA Primary metabolism: tissue (late pollen) Primary metabolism: tissue (pollen) Primary metabolism: tissue (root) Primary metabolism: tissue (guard cell) Protein storage Protein storage Protein storage Stress: heat shock Stress: water stress Unclassified Amylase Defense Hormone: GA Primary metabolism: light Primary metabolism: light Primary metabolism: MADS-domain Primary metabolism: reinitiation Primary metabolism: scaffold Stress: dehydration Stress: dehydration Stress: dehydration Stress: dehydration Stress: dehydration Stress: dehydration
The “Specific or common” column shows the cis-elements that are rice specific, Arabidopsis specific, or common to both species. “Rice” indicates the total number of cis-elements of 116 clones responsive to ABA treatment within 1,000 bp upstream of the 5⬘ region of each gene in rice. Details of all cis-elements refer to the PLACE database (http://www.dna.affrc.go.jp/htdocs/PLACE/). Italic characters show cis-elements that exist only in Arabidopsis or rice. “Arabidopsis” indicates the number of cis-elements in 94 clones of Arabidopsis corresponding to rice genes for ABA response. The data were obtained from RARGE (http://rarge.gsc.riken.go.jp/). “Ratio” was calculated by dividing the number of cis-elements in gene of rice by the number of cis-elements in gene of Arabidopsis. ND ⫽ not determined. Cis-element function was classified (Category) on the basis of the annotation of the element entry in the PLACE database.
common elements that were present in at least one gene in both species. Six kinds of cis-elements for dehydration-stress response (ACGTATERD1, MYB1AT, ABRELATERD1, MYB2CONSENSUSAT, MYCATERD1, MYCCONSENSUSAT) were specified as elements in Arabidopsis (italic characters in “cis-element” column in Table 5). The specificities of Arabidopsis cis-elements for dehydration stress might be derived from differences in the growth environments of each species. These six kinds of elements do not Physiol Genomics • VOL
17 •
exist in rice. However, the number of cis-elements for protein storage was remarkably rich in both species (“common” in “specific or common” column in Table 5), and the number of other elements for protein storage (⫺300ELEMENT, RYREPEATGMGY2, RYREPEATLEGUMINBOX, RYREPEATBNNAPA) were richer in the upstream regions of genes of rice than in those of Arabidopsis. We suggest that Arabidopsis might use these conserved elements for protein storage. The specificities of rice in protein storage might be derived so that structure of rice seed is www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
Specific or Common
98
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Table 6. Comparison of cDNA array, 60-mer oligo array and Q-RT-PCR relative expression results for ABA responsive transcripts cDNA Array Putative gene ID
Cell growth Cell growth Cell growth Cell growth Cell growth Cell growth Cell growth Cell growth Cell growth Defense Defense Defense Defense Defense Defense Germination Germination Maintenance Maintenance Transport Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified Unclassified
Aldose-reductase-related protein (Avena fatua) Glucose dehydrogenase (Hordeum vulgare) Lipid transfer protein (Oryza sativa) Lipid transfer protein (O. sativa) Mitochondrial phosphate transporter (O. sativa) myo-inositol phosphate synthase, RINO1 (O. sativa) myo-inositol phosphate synthase, RINO1 (O. sativa) myo-inositol phosphate synthase, RINO1 (O. sativa) Proteinase inhibitor, RPI (O. sativa) 16 kDa oleosin, ole16 (O. sativa) 16 kDa oleosin, ole16 (O. sativa) Hydrophobic LEA-like protein (O. sativa) LEA group 3 protein (O. sativa) Probenazole-inducible protein, PBZ1 (O. sativa) Water-stress-regulated gene (O. sativa) Embryo globulin 1 (Hordeum vulgare) Osem gene (O. sativa) Thionin (O. sativa) Thionin (O. sativa) Abscisic acid and stress inducible gene (H. vulgare) Novel protein, osr40c1 (O. sativa) RAB24 (O. sativa) Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown
Q-RTPCR
Clone Name
Accession No.
Ratio
Oligo Array
Ratio
Ratio
CH2836 EC0269 CH3458 ST3943 EC0376 CH0155 CB2444 FE0401 EC1619 EC0540 EC1755 CH2085 EA0201 SA1317 EA0326 CH2882 EC1638 ST1215 ST3801 EB1768 EE0241 CH1659 CH0161 CH0445 CH1555 CH3201 CH3541 EC0136 EC0512 EC0769 EC0946 EC1146 EC1152 EC1222 EC1379 EC1470 EC1656 EC1996 ED1001 EE1762
AU101007 C19333 AU063655 D41439 C99183 C97424 AU068211 AU174807 AU172733 C19519 C20257 C28696 AU174470 AU057293 AU174486 AU063570 C20180 D39662 D41338 AU069752 AU165969 C28576 AU091293 C28247 AU166971 C29020 C29099 C19228 AU172707 C19677 C19796 C19868 C19872 C19919 C20014 C20073 C20195 C20419 C99650 AU029786
4.47 4.56 2.17 2.17 2.84 2.41 2.37 2.16 7.14 3.01 2.45 3.64 4.53 2.06 3.01 5.95 5.77 2.12 1.98 2.05 2.19 5.16 2.21 3.41 3.80 3.06 2.08 5.66 5.52 5.35 7.12 3.66 2.40 2.41 2.22 2.73 2.58 3.11 2.44 3.82
J013074I15 002-169-E03 J033094A19 006-205-A04 J023022H13 001-019-H08 001-019-H08 001-019-H08 002-125-A10 J03317E10 J033127E10 001-118-B01 001-124-D08 J023104B18 001-125-H02 001-119-A01 001-119-E02 001-107-G07 001-107-G07 001-125-D01 J023031K10 J033115O22 001-207-H07 001-117-H11 J033118I15 001-117-H11 001-122-F11 J033025I17 001-118-F01 J023009K15 001-118-E12 001-119-E08 002-133-B10 002-132-C06 002-102-E03 002-135-G05 001-120-D12 002-137-B01 J023019B19 001-038-G02
8.21 9.39 1.03 0.93 0.84 2.08 2.08 2.08 1.02 1.60 1.60 4.76 1.70 4.44 1.44 5.07 2.35 1.09 1.09 4.11 1.70 4.46 1.62 3.80 0.89 3.80 0.79 0.88 0.91 0.74 7.59 2.18 4.13 1.03 0.99 3.91 15.62 3.47 2.50 1.03
9.99 19.40 6.12 4.9 7.77 1.00 5.86 93.11 18.02 5.71 6.86 16.30 4.81 44.51 6.27 2.88 4.18 1.89 6.92 1.00 15.42 33.49 387.24 1.00 7.83 1.79 48.18 25.1 2.29 1.98 14.43 25.15 11.93 0.00 1.00
cDNA microarray data for a set of transcripts previously reported as ABA responsive, modified here from Yazaki et al. (38), were compared to rice oligo microarray and quantitative real-time PCR (Q-RT-PCR) expression data. Only those 40 transcripts from the original list that are represented on the 8,987 cDNA microarray, and on the 60-mer oligo microarray, are shown. We selected 40 transcripts with significant expression differences of median ⫾ 2SD over a normal distribution in cDNA array analysis. We amplified Q-RT-PCR measurements of 35 transcripts using specific primers that designated from EST clones on cDNA microarray. Expression ratios are expressed as ABA treatment callus vs. nontreatment callus, and nonsignificant results are italicized.
different from that of Arabidopsis. Also, that the cis-element for expression of the amylase gene (CGACGOSAMY3) was specified as an element in rice may suggest the view that the difference in these elements is derived from differences in organization between rice and Arabidopsis. Although the cis-element MYBCORE for water-stress response appears in both species as a common cis-element in Table 5, the number of elements in rice was 1.34 times that in Arabidopsis. These results suggest that rice might use a slightly different mechanism for response to water stress. Two kinds of ABA-responsive element (RAV1AAT, DPBFCOREDCDC3) and one GA-responsive element (DOFCOREZM) were rich in cis-elements conserved between rice and Arabidopsis (“common” in “specific or common” column in Table 5). We suggest that each species might have a common pathway for ABA or GA metabolism. The numbers of Physiol Genomics • VOL
17 •
all types of cis-elements of GA-responsive genes in rice and Arabidopsis are shown in Supplemental Tables S8 (rice) and S9 (Arabidopsis). The results of comparison between 151 clones responsive to GA in rice and 117 clones of corresponding Arabidopsis genes are summarized in Supplemental Table S10. The comparison of cis-elements for GAresponsive genes between rice and Arabidopsis gives a result similar to that for ABA. These differences in ciselements for protein storage and dehydration-stress response between rice and Arabidopsis may have accumulated through differences in the organization of each plant or through evolutionary responses to the growth environment. The comparative analysis of cis-elements among various species for the detection of characteristic in plants may become a useful indicator for the more efficient creation of transgenic plants. The comparison also may support the www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
Category
60-mer Oligo Array
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Comparison of ABA-Responsive Genes Among 60-mer Oligonucleotide Array, cDNA Array, and Quantitative RT-PCR We previously identified a set of transcripts that were more abundant in ABA-treated callus than in untreated callus by using rice 8,987-cDNA microarray (38). To assess the utility of our oligonucleotide array in a practical context (i.e., are the same genes identified?), we compared expression ratios determined by cDNA microarray and oligonucleotide array for ABA-responsive transcripts (Table 6). The sequences of EST clones on rice 8,987-cDNA microarray were searched for in the rice FL-cDNA database, KOME (http://cdna01.dna.affrc.go.jp/cDNA/), which includes a collection of about 32,000 unique FL-cDNAs. We obtained 36 FL-cDNAs linking with the oligonucleotide array corresponding to the 40 EST clones selected as responsive to ABA treatment in the cDNA microarray analysis (38) by BLAST search (⬎e-10). Of 40 transcripts with significant expression differences of median ⫾ 2SD over a normal distribution in cDNA microarray analysis, 26 (65%) were positively correlated at the level of expression differences of median ⫾ 2SD over a normal distribution in the oligonucleotide array analysis. Twenty (50%) clones in the results of the cDNA microarray analysis showed an ABA-responsive:control ratio ⬎2.0 in the oligonucleotide array system. Quantitative RT-PCR measurements of 35 transcripts using a specific primer designed from EST clones on the cDNA microarray showed agreement of 30 (86%) with the cDNA array and 26 (74%) with the oligonucleotide array. PCR-based ratios agreed slightly better with the cDNA microarray than with the oligonucleotide array because of the use of the primer designed from the EST clones. Conclusions On the basis of our huge FL-cDNA collection, we constructed a monitoring system that uses the 22,000-cDNA oligonucleotide array to monitor gene transcription levels and expanded the genome-wide functional analysis of rice. We constructed a comprehensive profile of gene expression for Physiol Genomics • VOL
17 •
ABA and GA response in rice. We identified genes that had never before been annotated as ABA or GA responsive in other reports of comprehensive expression analysis of ABA-responsive genes in plant (12, 29, 33), detected new interactions between genes responsive to the two hormones, comprehensively characterized cis-elements of hormone-responsive genes, obtained new putative gene functions from phenotypic results, and characterized cis-elements of rice and Arabidopsis. The results revealed that our tools and methods of functional genomics can identify genes that control particular phenotypes and can identify the transcriptional regulator (cis-element) of rice faster and more accurately than ever before. For the most effective functional analysis of the genome, all available information needs to be integrated. Systematically connecting powerful tools and information for functional genomics of rice will allow researchers in the life sciences, especially crop science, to change the direction of research. All of the information on rice functional genomics used in this report can be accessed through the Rice PIPELINE (http://cdna01. dna.affrc.go.jp/PIPE/) (40), including the databases KOME, PLACE, Tos17, Integrated Rice Genome Explorer (31) (INE: http://rgp.dna.affrc.go.jp/giot/INE.html), and the Rice Expression Database (RED; http://red.dna.affrc.go.jp/RED/) (39). Details of all of our materials, including FL-cDNA and mutant lines, can be obtained from the Rice Genome Resource Center (http://www.rgrc.dna.affrc.go.jp). ACKNOWLEDGEMENTS We thank Dr. Hisako Ooka, Dr. Toshifumi Nagata, Dr. Hitomi Yamada, and Masaki Shimono (NIAS) for helpful comments. We also thank Kanako Shimbo, Yumiko Yoshida (Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries), Dr. Naoki Kishimoto, Sachiko Honda, Ayano Endo, Yuki Sato, Chikako Miyamoto, Kazuko Toyoshima, and Keiko Takeuchi (NIAS) for helpful support. We also thank Chao Jie Li and Makoto Yamamoto (Hitachi Software Engineering Co. Ltd.) for technical support. GRANTS This work was supported by a grant from the Ministry of Agriculture, Forestry, and Fisheries of Japan (Rice Genome Project MA-1000). REFERENCES 1. Akama K, Akihiro T, Kitagawa M, and Takaiwa F. Rice (Oryza sativa) contains a novel isoform of glutamate decarboxylase that lacks an authentic calmodulin-binding domain at the C-terminus. Biochim Biophys Acta 1522: 143–150, 2001. 2. Carter MG, Hamatani T, Sharov AA, Carmack CE, Qian Y, Aiba K, Ko NT, Dudekula DB, Brzoska PM, Hwang SS, and Ko MSH. In situ-synthesized novel microarray optimized for mouse stem cell and early developmental expression profiling. Genome Res 13: 1011–1021, 2003. 3. Chinchilla D, Merchan F, Megias M, Kondorosi A, and Sousa C. Ankyrin protein kinases: a novel type of plant kinase gene whose expression is induced by osmotic stress in alfalfa. Plant Mol Biol 51: 555–566, 2003. 4. Devoto A, Hartmann HA, Piffanelli P, Elliott C, Simmons C, Taramino G, Goh CS, Cohen EF, Emerson CB, Schulze-Lefert P, and Panstruga R. Molecular phylogeny and evolution of the plant-specific seven-transmembrane MLO family. J Mol Evol 56: 77–88, 2003. 5. Feng Q, Zhang Y, Hao P, Wang S, Fu G, Huang Y, Li Y, Zhu J, Liu Y, Hu X, Jia P, Zhang Y, Zhao Q, Ying K, Yu S, Tang Y, Weng Q, Zhang L, Lu Y, Mu J, Lu Y, Zhang LS, Yu Z, Fan D, Liu X, Lu T, Li C, Wu Y, Sun T, Lei H, Li T, Hu H, Guan J, Wu M, Zhang R, Zhou B, Chen Z, Chen L, Jin Z, Wang R, Yin H, Cai Z, Ren S, Lv G, Gu W, Zhu G, Tu Y, Jia J, Zhang Y, Chen J, Kang H, Chen X, Shao C, Sun Y, Hu Q, Zhang X, Zhang W, Wang L, Ding C, Sheng H, Gu J, Chen S, Ni L, Zhu F, Chen W, Lan L, Lai Y, Cheng Z, Gu M, Jiang J, Li J, Hong G, Xue Y, and Han B. Sequence and analysis of rice chromosome 4. Nature 420: 316–320, 2002. www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
prediction of the physiological functions of the products of “unknown” genes. In promoter sequences search of the ABA response genes obtained, we detected that several rice genes (AK064966, AK073100, AK073380, AK073777, AK073833, AK102307, AK103170, AK105316, AK106508, AK108159, AK110259, and AK110912 in Supplemental Table S6) did not contain any ABA-responsive element in their promoters on rice genome as well as Arabidopsis report (33). These results suggest the existence of novel cis-acting elements involved in ABA-inducible gene expression in their promoters of rice and Arabidopsis. In our study, WRKY transcription factor (AK073100, AK110912 in Supplemental Table S6), a protein known to mediate the pathogen-induced defense program, were induced by ABA treatment in rice callus. The data suggest that these not only reveal the cross talk between ABA response pathway and pathogen-induced defense program but also support the suggestion that W-box binding motif sequences, most of the WRKY proteins showed to bind to the sequence, are a novel cis-acting element involved in ABAinducible gene expression (33).
99
100
PROFILING OF PHYTOHORMONE-RESPONSIVE GENES IN RICE
Physiol Genomics • VOL
17 •
25. Mo B and Bewley JD. Beta-mannosidase (EC 3.2.1.25) activity during and following germination of tomato (Lycopersicon esculentum Mill.) seeds. Purification, cloning and characterization. Planta 215: 141–152, 2002. 26. Moreau S, Thomson RM, Kaiser BN, Trevaskis B, Guerinot ML, Udvardi MK, Puppo A, and Day DA. GmZIP1 encodes a symbiosisspecific zinc transporter in soybean. J Biol Chem 277: 4738–4746, 2002. 27. Murashige T and Skoog F. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiol Plant 15: 473–497, 1962. 28. Nakamura T, Yamaguchi Y, and Sano H. Four rice genes encoding cysteine synthase: isolation and differential responses to sulfur, nitrogen and light. Gene 229: 155–161, 1999. 29. Rabbani MA, Maruyama K, Abe H, Khan MA, Katsura K, Ito Y, Yoshiwara K, Seki M, Shinozaki K, and Yamaguchi-Shinozaki K. Monitoring expression profiles of rice genes under cold, drought, and high-salinity stresses and abscisic acid application using cDNA microarray and RNA gel-blot analyses. Plant Physiol 133: 1755–1767, 2003. 30. Riechmann JL and Meyerowitz EM. MADS domain proteins in plant development. Biol Chem 378: 1079–1101, 1997. 31. Sakata K, Antonio BA, Mukai Y, Nagasaki H, Sakai Y, Makino K, and Sasaki T. INE: a rice genome database with an integrated map view. Nucleic Acids Res 28: 97–101, 2000. 32. Sasaki T, Matsumoto T, Yamamoto K, Sakata K, Baba T, Katayose Y, Wu J, Niimura Y, Cheng Z, Nagamura Y, Antonio BA, Kanamori H, Hosokawa S, Masukawa M, Arikawa K, Chiden Y, Hayashi M, Okamoto M, Ando T, Aoki H, Arita K, Hamada M, Harada C, Hijishita S, Honda M, Ichikawa Y, Idonuma A, Iijima M, Ikeda M, Ikeno M, Ito S, Ito T, Ito Y, Ito Y, Iwabuchi A, Kamiya K, Karasawa W, Katagiri S, Kikuta A, Kobayashi N, Kono I, Machita K, Maehara T, Mizuno H, Mizubayashi T, Mukai Y, Nagasaki H, Nakashima M, Nakama Y, Nakamichi Y, Nakamura M, Namiki N, Negishi M, Ohta I, Ono N, Saji S, Sakai K, Shibata M, Shimokawa T, Shomura A, Song J, Takazaki Y, Terasawa K, Tsuji K, Waki K, Yamagata H, Yamane H, Yoshiki S, Yoshihara R, Yukawa K, Zhong H, Iwama H, Endo T, Ito H, Hahn JH, Kim HI, Eun MY, Yano M, Jiang J, and Gojobori T. The genome sequence and structure of rice chromosome 1. Nature 420: 312–316, 2002. 33. Seki M, Ishida J, Narusaka M, Fujita M, Nanjo T, Umezawa T, Kamiya A, Nakajima M, Enju A, Sakurai T, Satou M, Akiyama K, Yamaguchi-Shinozaki K, Carninchi PKJ, Hayashizaki Y, and Shinozaki K. Monitoring the expression pattern of around 7,000 Arabidopsis genes under ABA treatments using a full-length cDNA microarray. Funct Integr Genomics 2: 282–291, 2002. 34. Shoemaker DD, Schadt EE, Armour CD, He YD, Garrett-Engele P, McDonagh PD, Loerch PM, and Leonardson A. Experimental annotation of the human genome using microarray technology. Nature 409: 922–927, 2001. 35. Vanacker H, Lu H, Rate DN, and Greenberg JT. A role for salicylic acid and NPR1 in regulating cell growth in Arabidopsis. Plant J 28: 209–216, 2001. 36. Yang IV, Chen E, Hasseman JP, Liang W, Frank BC, Wang Sharov V, Saeed AI, White J, Li J, Lee NH, Yeatman TJ, and Quackenbush J. Within the fold: assessing differential expression measures and reproducibility in microarray assays. Genome Biol 3: research0062.1, 2002. 37. Yang YH, Dudoit S, Luu P, Lin DM, Peng V, Ngai J, and Speed TP. Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. Nucleic Acids Res 30: e15, 2002. 38. Yazaki J, Kishimoto N, Fujii F, Nagata Y, Hashimoto A, Shimbo K, Shimatani Z, Kojima K, Kouji S, Makoto Y, Honda S, Endo A, Yoshida Y, Sato Y, Takeuchi K, Toyoshima K, Miyamoto C, Wu J, Sasaki T, Sakata K, Yamamoto K, Iba K, Oda T, Ootomo Y, Murakami K, Matsubara K, Kawai J, Carninci P, Hayashizaki Y, and Kikuchi S. Genomics approach to abscisic-acid and gibberellin-responsive genes in rice. DNA Res 10: 249–261, 2003. 39. Yazaki J, Kishimoto N, Ishikawa M, and Kikuchi S. Rice Expression Database: the gateway to rice functional genomics. Trends Plant Sci 7: 563–564, 2002. 40. Yazaki J, Kojima K, Suzuki K, Kishimoto N, and Kikuchi S. The Rice PIPELINE: a unification tool for plant functional genomics. Nucleic Acids Res 1: D383–D387, 2004. 41. Yu J et al. (Beijing Genomics Institute). A draft sequence of the rice genome (Oryza sativa L. ssp indica). Science 296: 79–92, 2002. www.physiolgenomics.org
Downloaded from physiolgenomics.physiology.org on November 28, 2008
6. Frandsen G, Muller-Uri F, Nielsen M, Mundy J, and Skriver K. Novel plant Ca2⫹-binding protein expressed in response to abscisic acid and osmotic stress. J Biol Chem 271: 343–348, 1996. 7. Garcia-Garrido JM, Menossi M, Puigdomenech P, Martinez-Izquierdo JA, and Delseny M. Characterization of a gene encoding an abscisic acid-inducible type-2 lipid transfer protein from rice. FEBS Lett 428: 193–199, 1998. 8. Goff SA, Ricke D, Lan TH, Presting G, Wang R, Dunn M, Glazebrook J, Sessions A, Oeller P, Varma H, Hadley D, Hutchison D, Martin C, Katagiri F, Lange BM, Moughamer T, Xia Y, Budworth P, Zhong J, Miguel T, Paszkowski U, Zhang S, Colbert M, Sun Wl Chen L, Cooper B, Park S, Wood TC, Mao L, Quail P, Wing R, Dean R, Yu Y, Zharkikh A, Shen R, Sahasrabudhe S, Thomas A, Cannings R, Gutin A, Pruss D, Reid J, Tavtigian S, Mitchell J, Eldredge G, Scholl T, Miller RM, Bhatnagar S, Adey N, Rubano T, Tusneem N, Robinson R, Feldhaus J, Macalma T, Oliphant A, and Briggs S. A draft sequence of the rice genome (Oryza sativa L. ssp. japonica). Science 296: 92–100, 2002. 9. Harushima Y, Yano M, Shomura A, Sato M, Shimano T, Kuboki Y, Yamamoto T, Lin SY, Antonio BA, Parco A, Kajiya H, Huang N, Yamamoto K, Nagamura Y, Kurata N, Khush GS, and Sasaki T. A high-density rice genetic linkage map with 2275 markers using a single F2 population. Genetics 148: 479–494, 1998. 10. Heck GR, Chamberlain AK, and Ho DTH. Barley embryo globulin 1 gene, Beg1: characterization of cDNA, chromosome mapping and regulation of expression. Mol Gen Genet 239: 209–218, 1993. 11. Higo K, Ugawa Y, Iwamoto M, and Higo H. PLACE: a database of plant cis-acting regulatory DNA elements. Nucleic Acids Res 26: 358–359, 1998. 12. Hoth S, Morgante M, Sanchez JP, Hanafey MK, Tingey SV, and Chua NH. Genome-wide gene expression profiling in Arabidopsis thaliana reveals new targets of abscisic acid and largely impaired gene regulation in the abi1–1 mutant. J Cell Sci 115: 4891–4900, 2002. 13. Hughes TR, Mao M, Jones AR, Burchard J, Marton MJ, Shannon KW, Lefkowitz SM, Ziman M, Schelter JM, Meyer MR, Kobayashi S, Davis C, Dai H, He YD, Stephaniants SB, Cavet G, Walker WL, West A, Coffey E, Shoemaker DD, Stoughton R, Blanchard AP, Friend SH, and Linsley PS. Expression profiling using microarrays fabricated by an ink-jet oligonucleotide synthesizer. Nat Biotechnol 19: 342–347, 2001. 14. Jacobsen SE and Olszewski NE. Gibberellins regulate the abundance of RNAs with sequence similarity to proteinase inhibitors, dioxygenases and dehydrogenases. Planta 198: 78–86, 2003. 15. Jang CS, Lee MS, Kim JY, and Seo YW. Molecular characterization of a cDNA encoding putative calcium binding protein, HvCaBP1, induced during kernel development in barley (Hordeum vulgare L.). Plant Cell Rep 22: 64–70, 2003. 16. Kapranov P, Jensen TJ, Poulsen C, de Bruijn FJ, and Szczyglowski K. A protein phosphatase 2C gene, LjNPP2C1, from Lotus japonicus induced during root nodule development. Proc Natl Acad Sci USA 96: 1738–1743, 1999. 17. Kikuchi K, Ueguchi-Tanaka M, Yoshida KT, Nagato Y, Matsusoka M, and Hirano HY. Molecular analysis of the NAC gene family in rice. Mol Gen Genet 262: 1047–1051, 2000. 18. Kikuchi S et al. (Rice Full-Length cDNA Consortium). Collection, mapping, and annotation of over 28,000 cDNA clones from japonica rice. Science 301: 376–379, 2003. 19. Kitagishi K and Obata H. Effects of zinc deficiency on the nitrogen metabolism of meristematic tissues of rice plant with reference to protein synthesis. Soil Sci Plant Nutr 32: 397–406, 1986. 20. Leung J and Giraudat J. Abscisic acid signal transduction. Annu Rev Plant Physiol Plant Mol Biol 49: 199–222, 1998. 21. Li B and Foley ME. Cloning and characterization of differentially expressed genes in imbibed dormant and afterripened Avena fatua embryos. Plant Mol Biol 29: 823–831, 1995. 22. Lovegrove A and Hooley R. Gibberellin and abscisic acid signalling in aleurone. Trends Plant Sci 5: 102–110, 2000. 23. Midoh N and Iwata M. Cloning and characterization of a probenazoleinducible gene for an intracellular pathogenesis-related protein in rice. Plant Cell Physiol 37: 9–18, 1996. 24. Miyao A, Tanaka K, Murata K, Sawaki H, Takeda S, Abe K, Shinozuka Y, Onosato K, and Hirochika H. Target site specificity of the Tos17 retrotransposon shows a preference for insertion within genes and against insertion in retrotransposon-rich regions of the genome. Plant Cell 15: 1771–1780, 2003.