It is likely that many small ORFs (sORFs; 30-100 amino acids) are missed when genomes are annotated. To overcome this limitation, we identified ∼8,000 sORFs with high coding potential in intergenic regions of the Arabidopsis thaliana genome. However, the question remains as to whether these coding sORFs play functional roles. Using a designed array, we generated an expression atlas for 16 organs and 17 environmental conditions among 7,901 identified coding sORFs. A total of 2,099 coding sORFs were highly expressed under at least one experimental condition, and 571 were significantly conserved in other land plants. A total of 473 coding sORFs were overexpressed; ∼10% (49/473) induced visible phenotypic effects, a proportion that is approximately seven times higher than that of randomly chosen known genes. These results indicate that many coding sORFs hidden in plant genomes are associated with morphogenesis. We believe that the expression atlas will contribute to further study of the roles of sORFs in plants.transcriptome | phenome | Agilent custom microarray | transgenic plant | peptide hormone I t has been revealed that small ORFs (sORFs; 30-100 amino acids) are translated into peptides that play essential roles in eukaryotes. For example, in yeast, 21 of 247 peptides encoded by sORFs are essential for viability, as identified by KO analyses (1). In Drosophila, several peptides encoded by sORFs are involved in activating transcription factors related to development (2). In plants, a number of peptides encoded by known small genes (<150 codons) play significant roles in various aspects of plant growth and development. Specific receptors for various peptides have been identified as receptor kinases (3-18). Although peptides translated from sORFs have important roles, a high rate of false-positive prediction affects the identification of coding sORFs in genome sequences (19,20). Therefore, in a representative plant species, Arabidopsis thaliana, many small genes had been manually identified using a restricted Markov model and similarity searching (21). To further explore the field of small genes, we developed a computational method to identify coding sORFs using the hexamer composition bias between coding sequences (CDSs) and noncoding sequences (NCDSs) (22, 23). Among available gene finders, this program package has the best performance for identifying true small genes (24).The model plant species A. thaliana has a high-quality genome, and more than 7,000 coding sORFs were identified in the intergenic regions that lacked annotated genes (22). The coding sORFs do not have any sequence similarities to annotated genes. In the present study, to examine the functional roles of these newly identified coding sORFs, we designed an array to generate an expression atlas under 16 developmental stages and 17 environmental conditions, with three replicates. Then, we looked for evidence of expression of coding sORFs. We also examined the signatures of selective constraints on the CDSs among the coding sORFs in 16 land plant sp...

Approximately 20 000 of the rice-FOX Arabidopsis transgenic lines, which overexpress 13 000 rice full-length cDNAs at random in Arabidopsis, were screened for bacterial disease resistance by dip inoculation with Pseudomonas syringae pv. tomato DC3000 (Pst DC3000). The identities of the overexpressed genes were determined in 72 lines that showed consistent resistance after three independent screens. Pst DC3000 resistance was verified for 19 genes by characterizing other independent Arabidopsis lines for the same genes in the original rice-FOX hunting population or obtained by reintroducing the genes into ecotype Columbia by floral dip transformation. Thirteen lines of these 72 selections were also resistant to the fungal pathogen Colletotrichum higginsianum. Eight genes that conferred resistance to Pst DC3000 in Arabidopsis have been introduced into rice for overexpression, and transformants were evaluated for resistance to the rice bacterial pathogen, Xanthomonas oryzae pv. oryzae. One of the transgenic rice lines was highly resistant to Xanthomonas oryzae pv. oryzae. Interestingly, this line also showed remarkably high resistance to Magnaporthe grisea, the fungal pathogen causing rice blast, which is the most devastating rice disease in many countries. The causal rice gene, encoding a putative receptor-like cytoplasmic kinase, was therefore designated as BROAD-SPECTRUM RESISTANCE 1. Our results demonstrate the utility of the rice-FOX Arabidopsis lines as a tool for the identification of genes involved in plant defence and suggest the presence of a defence mechanism common between monocots and dicots.

SummaryEctopic 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.

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.

Cell-penetrating peptides (CPPs) are used for various applications, especially in the biomedical field. Recently, CPPs have been used as a part of carrier to deliver proteins and/or genes into plant cells and tissues; hence, these peptides are attractive tools for plant biotechnological and agricultural applications, but require more efficient delivery rates and optimization by species before wide-scale use can be achieved. Here, we developed a library containing 55 CPPs to determine the optimal CPP characteristics for penetration of BY-2 cells and leaves of Nicotiana benthamiana, Arabidopsis thaliana, tomato (Solanum lycopersicum), poplar (hybrid aspen Populus tremula × tremuloides line T89), and rice (Oryza sativa). By investigating the cell penetration efficiency of CPPs in the library, we identified several efficient CPPs for all the plants studied except rice leaf. In the case of rice, several CPPs showed efficient penetration into rice callus. Furthermore, we examined the relationship between cell penetration efficiency and CPP secondary structural characteristics. The cell penetration efficiency of Lys-containing CPPs was relatively greater in plant than in animal cells, which could be due to differences in lipid composition and surface charge of the cell membranes. The variation in optimal CPPs across the plants studied here suggests that CPPs must be optimized for each plant species and target tissues of interest.