Epigenomic modification and epigenetic regulation in rice

Epigenomes including genome-wide histone modification and DNA methylation profiles are important for genome activity and for defining gene expression patterns of plant development and responses to various environmental conditions.Rice is the most important crop plant and serves as a model for cereal genomics.Rice epigenomic landscape is emerging and the function of chromatin modification regulators in gene expression,transposon repression and plant development is being characterized.Epigenomic variation that gives rise to stable or transgenerational heritable epialleles related to variation of important agronomical traits or stress responses is being characterized in rice.Implication of epigenomic variation in rice heterosis is being exploited.     

Viral infection induces expression of novel phased microRNAs from conserved cellular microRNA precursors

RNA silencing, mediated by small RNAs including microRNAs (miRNAs) and small interfering RNAs (siRNAs), is a potent antiviral or antibacterial mechanism, besides regulating normal cellular gene expression critical for development and physiology. To gain insights into host small RNA metabolism under infections by different viruses, we used Solexa/Illumina deep sequencing to characterize the small RNA profiles of rice plants infected by two distinct viruses, Rice dwarf virus (RDV, dsRNA virus) and Rice stripe virus (RSV, a negative sense and ambisense RNA virus), respectively, as compared with those from non-infected plants. Our analyses showed that RSV infection enhanced the accumulation of some rice miRNA*s, but not their corresponding miRNAs, as well as accumulation of phased siRNAs from a particular precursor. Furthermore, RSV infection also induced the expression of novel miRNAs in a phased pattern from several conserved miRNA precursors. In comparison, no such changes in host small RNA expression was observed in RDV-infected rice plants. Significantly RSV infection elevated the expression levels of selective OsDCLs and OsAGOs, whereas RDV infection only affected the expression of certain OsRDRs. Our results provide a comparative analysis, via deep sequencing, of changes in the small RNA profiles and in the genes of RNA silencing machinery induced by different viruses in a natural and economically important crop host plant. They uncover new mechanisms and complexity of virus-host interactions that may have important implications for further studies on the evolution of cellular small RNA biogenesis that impact pathogen infection, pathogenesis, as well as organismal development.     

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.     

Web Tools for Rice Transcriptome Analyses

Gene expression databases provide profiling data for the expression of thousands of genes to researchers worldwide. Oligonucleotide microarray technology is a useful tool that has been employed to produce gene expression profiles in most species. In rice, there are five genome-wide DNA microarray platforms: NSF 45K, BGI/Yale 60K, Affymetrix, Agilent Rice 44K, and NimbleGen 390K. Presently, more than 1,700 hybridizations of microarray gene expression data are available from public microarray depositing databases such as NCBI gene expression omnibus and Arrayexpress at EBI. More processing or reformatting of public gene expression data is required for further applications or analyses. Web-based databases for expression meta-analyses are useful for guiding researchers in designing relevant research schemes. In this review, we summarize various databases for expression meta-analyses of rice genes and web tools for further applications, such as the development of co-expression network or functional gene network.     

Identification of a deletion in <Emphasis Type="Italic">tms2</Emphasis> and development of gene-based markers for selection

Rice is one of the most important food crops. The temperature-sensitive genic male sterility (TGMS) system provides a great potential for improving food production by hybrids. The use of TGMS system is simple, inexpensive, effective, and eliminates the limitations of the conventional three-line system. A rice gene, tms2, generated by irradiation of a japonica variety has been reported to control TGMS in several rice lines. Previous studies reported genetic markers linked to this gene, and the gene was transferred to an aromatic Thai cultivar. Using information obtained from published databases, we located positions of the reported genetic markers flanking the gene in rice genomic sequences, and developed gene-based markers located inside the flanking markers for polymorphism detection. We found that inbred indica tms2 mutant plants contain about 1 Mb of japonica DNA, in which at least 70 kb was deleted. Using RT-PCR for expression analysis, four genes out of seven genes annotated as expressed proteins located inside the deletion showed expression in panicles. These genes could be responsible for TGMS phenotypes of tms2. In addition, we developed gene-based markers flanking and inside the deletion for selecting the tms2 gene in breeding populations. By genotyping 102 diverse rice lines including 38 Thai rice lines, 5 species of wild rice, and 59 exotic rice lines including TGMS lines and cultivars with desirable traits, a gene-based marker located inside the deletion and one flanking marker were shown to be highly specific for the tms2 mutant.     

MOsDB: an integrated information resource for rice genomics

The MIPS Rice (Oryza sativa) database (MOsDB; http://mips.gsf.de/proj/rice) provides a comprehensive data collection dedicated to the genome information of rice. Rice (O. sativa L.) is one of the most important food crops for over half the world's population and serves as a major model system in cereal genome research. MOsDB integrates data from two publicly available rice genomic sequences, O. sativa L. ssp. indica and O. sativa L. ssp. japonica. Besides regularly updated rice genome sequence information, MOsDB provides an integrated resource for associated analysis data, e.g. internal and external annotation information as well as a complex characterization of all annotated rice genes. The MOsDB web interface supports various search options and allows browsing the database content. MOsDB is continuously expanding to include an increasing range of data type and the growing amount of information on the rice genome.