Systematic approaches to using the FOX hunting system to identify useful rice genes.

Ectopic gene expression, or the gain-of-function approach, has the advantage that once the function of a gene is known the gene can be transferred to many different plants by transformation. We previously reported a method, called FOX hunting, that involves ectopic expression of Arabidopsis full-length cDNAs in Arabidopsis to systematically generate gain-of-function mutants. This technology is most beneficial for generating a heterologous gene resource for analysis of useful plant gene functions. As an initial model we generated more than 23,000 independent Arabidopsis transgenic lines that expressed rice fl-cDNAs (Rice FOX Arabidopsis lines). The short generation time and rapid and efficient transformation frequency of Arabidopsis enabled the functions of the rice genes to be analyzed rapidly. We screened rice FOX Arabidopsis lines for alterations in morphology, photosynthesis, element accumulation, pigment accumulation, hormone profiles, secondary metabolites, pathogen resistance, salt tolerance, UV signaling, high light tolerance, and heat stress tolerance. Some of the mutant phenotypes displayed by rice FOX Arabidopsis lines resulted from the expression of rice genes that had no homologs in Arabidopsis. This result demonstrated that rice fl-cDNAs could be used to introduce new gene functions in Arabidopsis. Furthermore, these findings showed that rice gene function could be analyzed by employing Arabidopsis as a heterologous host. This technology provides a framework for the analysis of plant gene function in a heterologous host and of plant improvement by using heterologous gene resources.

Three-dimensional definition of leaf morphological traits of Arabidopsis in silico phenotypic analysis.

The detection of phenotypic alterations of mutants and variants is one of the bottlenecks that hinder systematic gene functional studies of the model plant Arabidopsis. In an earlier study, we have addressed this problem by proposing a novel methodology for phenome analysis based on in silico analysis of polygon models that are acquired by 3-dimensional (3D) measurement and which precisely reconstruct the actual plant shape. However, 3D quantitative descriptions of morphological traits are rare, whereas conventional 2D descriptions have already been studied but may lack the necessary precision. In this report, we focus on six major leaf morphological traits, which are commonly used in the current manual mutant screens, and propose new 3D quantitative definitions that describe these traits. In experiments to extract the traits, we found significant differences between two variants of Arabidopsis with respect to blade roundness and blade epinasty. Remarkably, the detected difference between variants in the blade roundness trait was undetectable when using conventional 2D descriptions. Thus, the result of the experiment indicates that the proposed definitions with 3D description may lead to new discoveries of phenotypic alteration in gene functional studies that would not be possible using conventional 2D descriptions.

Metabolomic screening applied to rice FOX Arabidopsis lines leads to the identification of a gene-changing nitrogen metabolism.

Plant metabolomics developed as a powerful tool to examine gene functions and to gain deeper insight into the physiology of the plant cell. In this study, we screened Arabidopsis lines overexpressing rice full-length (FL) cDNAs (rice FOX Arabidopsis lines) using a gas chromatography-time-of-flight mass spectrometry (GC-TOF/MS)-based technique to identify rice genes that caused metabolic changes. This screening system allows fast and reliable identification of candidate lines showing altered metabolite profiles. We performed metabolomic and transcriptomic analysis of a rice FOX Arabidopsis line that harbored the FL cDNA of the rice ortholog of the Lateral Organ Boundaries (LOB) Domain (LBD)/Asymmetric Leaves2-like (ASL) gene of Arabidopsis, At-LBD37/ASL39. The investigated rice FOX Arabidopsis line showed prominent changes in the levels of metabolites related to nitrogen metabolism. The transcriptomic data as well as the results from the metabolite analysis of the Arabidopsis At-LBD37/ASL39-overexpressor plants were consistent with these findings. Furthermore, the metabolomic and transcriptomic analysis of the Os-LBD37/ASL39-overexpressing rice plants indicated that Os-LBD37/ASL39 is associated with processes related to nitrogen metabolism in rice. Thus, the combination of a metabolomics-based screening method and a gain-of-function approach is useful for rapid characterization of novel genes in both Arabidopsis and rice.

Synthesizing non-natural parts from natural genomic template.

BACKGROUND: The current knowledge of genes and proteins comes from 'naturally designed' coding and non-coding regions. It would be interesting to move beyond natural boundaries and make user-defined parts. To explore this possibility we made six non-natural proteins in E. coli. We also studied their potential tertiary structure and phenotypic outcomes. RESULTS: The chosen intergenic sequences were amplified and expressed using pBAD 202/D-TOPO vector. All six proteins showed significantly low similarity to the known proteins in the NCBI protein database. The protein expression was confirmed through Western blot. The endogenous expression of one of the proteins resulted in the cell growth inhibition. The growth inhibition was completely rescued by culturing cells in the inducer-free medium. Computational structure prediction suggests globular tertiary structure for two of the six non-natural proteins synthesized. CONCLUSION: To our best knowledge, this is the first study that demonstrates artificial synthesis of non-natural proteins from existing genomic template, their potential tertiary structure and phenotypic outcome. The work presented in this paper opens up a new avenue of investigating fundamental biology. Our approach can also be used to synthesize large numbers of non-natural RNA and protein parts for useful applications.

Light-dependent polyploidy control by a CUE protein variant in Arabidopsis.

Endoreduplication is a special cell cycle that increases ploidy without cell and nuclear division. In plants endoreduplication is essential for development. We isolated a dominant Arabidopsis mutant from activation tagging lines that had increased polyploidy in darkness. This mutant, ipd1-1D (increased polyploidy level in darkness 1-1D), shows longer hypocotyls and increased ploidy levels only in dark-grown seedlings. The corresponding gene encodes a protein that contains a CUE domain variant. IPD1 is specifically expressed in mitotically dividing cells. Furthermore we show that blue and far-red light can suppress the ploidy increase in ipd1-1D and also suppress the reporter expression in IPD1-promoter beta-glucuronidase transgenic plants. These results suggest that IPD1 regulates the endocycle leading to hypocotyl elongation and this function is controlled by blue and far-red light.

Increased level of polyploidy1, a conserved repressor of CYCLINA2 transcription, controls endoreduplication in Arabidopsis.

Endoreduplication is a type of cell cycle in which DNA replication continues without cell division. We have isolated several dominant mutants from Arabidopsis thaliana activation tagging lines by flow cytometry. One of the mutants, increased level of polyploidy1-1D (ilp1-1D), showed increased polyploidy in both light- and dark-grown hypocotyls. The corresponding gene of ilp1-1D encodes a protein homologous to the C-terminal region of mammalian GC binding factor. We demonstrate that this protein functions as a transcriptional repressor in vivo. The expression of all members of the CYCLINA2 (CYCA2) family was reduced in an ILP1 overexpressing line, and the mouse (Mus musculus) homolog of ILP1 repressed cyclin A2 expression in mouse NIH3T3 cells. T-DNA insertion mutants of ILP1 showed reduced polyploidy and upregulated all CYCA2 expression. Furthermore, loss of CYCA2;1 expression induces an increase in polyploidy in Arabidopsis. We demonstrate that this protein regulates endoreduplication through control of CYCA2 expression in Arabidopsis.

Automatic quantification of morphological traits via three-dimensional measurement of Arabidopsis.

Many mutants have been isolated from the model plant Arabidopsis thaliana, and recent important genetic resources, such as T-DNA knockout lines, facilitate the speed of identifying new mutants. However, present phenotypic analysis of mutant screens depends mainly on qualitative descriptions after visual observation of morphological traits. We propose a novel method of phenotypic analysis based on precise three-dimensional (3D) measurement by a laser range finder (LRF) and automatic data processing. We measured the 3D surfaces of young plants of two Arabidopsis ecotypes and successfully defined two new traits, the direction of the blade surface and epinasty of the blade, quantitatively. The proposed method enables us to obtain quantitative and precise descriptions of plant morphologies compared to conventional 2D measurement. The method will open a way to find new traits from mutant pools or natural ecotypes based on 3D data.

Sequence database of 1172 T-DNA insertion sites in Arabidopsis activation-tagging lines that showed phenotypes in T1 generation.

Plant genomic resources harbouring gain-of-function mutations remain rare, even though this type of mutation is believed to be one of the most useful for elucidating the function of unknown genes that have redundant partners in the genome. An activation-tagging T-DNA was introduced into the genome of Arabidopsis creating 55,431 independent transformed lines. Of these T1 lines, 1,262 showed phenotypes different from those of wild-type plants. We called these lines 'AT1Ps' (activation T1 putants). The phenotypes observed include abnormalities in morphology, growth rate, plant colour, flowering time and fertility. Similar phenotypes re-appeared either in dominant or semi-dominant fashion in 17% of 177 AT2P plants tested. Plasmid rescue or an adaptor-PCR method was used to identify 1172 independent genomic loci of T-DNA integration sites in the AT1P plants. Mapping of the integration sites revealed that the chromosomal distribution of these sites is similar to that observed in conventional T-DNA knock-out lines, except that the intragenic type of integration is slightly lower (27%) in the AT1P plants compared to that observed in other random knock-out populations (30-35%). Ten AT2P lines that showed dominant phenotypes were chosen to monitor expression levels of genes adjacent to the T-DNA integration sites by RT-PCR. Activation was observed in 7 out of 17 of the adjacent genes detected. Genes located up to 8.2 kb away from the enhancer sequence were activated. One of the seven activated genes was located close to the left-border sequence of the T-DNA, having an estimated distance of 5.7 kb from the enhancer. Surprisingly, one gene, the first ATG of which is located 12 kb away from the enhancer, showed reduced mRNA accumulation in the tagged line. Application of the database generated to Arabidopsis functional genomics research is discussed. The sequence database of the 1172 loci from the AT1P plants is available (http://pfgweb.gsc.riken.go.jp/index.html).