R. C. Venu

Genomic and Genetic Characterization of Rice Cen3 Reveals Extensive Transcription and Evolutionary Implications of a Complex Centromere

The centromere is the chromosomal site for assembly of the kinetochore where spindle fibers attach during cell division. In most multicellular eukaryotes, centromeres are composed of long tracts of satellite repeats that are recalcitrant to sequencing and fine-scale genetic mapping. Here, we report the genomic and genetic characterization of the complete centromere of rice (Oryza sativa) chromosome 3. Using a DNA fiber-fluorescence in situ hybridization approach, we demonstrated that the centromere of chromosome 3 (Cen3) contains ∼441 kb of the centromeric satellite repeat CentO. Cen3 includes an ∼1,881-kb domain associated with the centromeric histone CENH3. This CENH3-associated chromatin domain is embedded within a 3113-kb region that lacks genetic recombination. Extensive transcription was detected within the CENH3 binding domain based on comprehensive annotation of protein-coding genes coupled with empirical measurements of mRNA levels using RT-PCR and massively parallel signature sequencing. Genes <10 kb from the CentO satellite array were expressed in several rice tissues and displayed histone modification patterns consistent with euchromatin, suggesting that rice centromeric chromatin accommodates normal gene expression. These results support the hypothesis that centromeres can evolve from gene-containing genomic regions.

Classification, Expression Pattern, and E3 Ligase Activity Assay of Rice U-Box-Containing Proteins

Ubiquitin ligases play a central role in determining the specificity of the ubiquitination system by selecting a myriad of appropriate candidate proteins for modification. The U-box is a recently identified, ubiquitin ligase activity-related protein domain that shows greater presence in plants than in other organisms. In this study, we identified 77 putative U-box proteins from the rice genome using a battery of whole genome analysis algorithms. Most of the U-box protein genes are expressed, as supported by the identification of their corresponding expressed sequence tags (ESTs), full-length cDNAs, or massively parallel signature sequencing (MPSS) tags. Using the same algorithms, we identified 61 U-box proteins from the Arabidopsis genome. The rice and Arabidopsis U-box proteins were classified into nine major classes based on their domain compositions. Comparison between rice and Arabidopsis U-box proteins indicates that the majority of rice and Arabidopsis U-box proteins have the same domain organizations. The inferred phylogeny established the homology between rice and Arabidopsis U-box/ARM proteins. Cell death assay using the rice protoplast system suggests that one rice U-box gene, OsPUB51, might act as a negative regulator of cell death signaling. In addition, the selected U-box proteins were found to be functional E3 ubiquitin ligases. The identification and analysis of rice U-box proteins hereby at the genomic level will help functionally characterize this class of E3 ubiquitin ligase in the future.

RL-SAGE and microarray analysis of the rice transcriptome after Rhizoctonia solani infection

Sheath blight caused by the fungal pathogen Rhizoctonia solani is an emerging problem in rice production worldwide. To elucidate the molecular basis of rice defense to the pathogen, RNA isolated from R. solani-infected leaves of Jasmine 85 was used for both RL-SAGE library construction and microarray hybridization. RL-SAGE sequence analysis identified 20,233 and 24,049 distinct tags from the control and inoculated libraries, respectively. Nearly half of the significant tags (≥2 copies) from both libraries matched TIGR annotated genes and KOME full-length cDNAs. Among them, 42% represented sense and 7% antisense transcripts, respectively. Interestingly, 60% of the library-specific (≥10 copies) and differentially expressed (>4.0-fold change) tags were novel transcripts matching genomic sequence but not annotated genes. About 70% of the genes identified in the SAGE libraries showed similar expression patterns (up or down-regulated) in the microarray data obtained from three biological replications. Some candidate RL-SAGE tags and microarray genes were located in known sheath blight QTL regions. The expression of ten differentially expressed RL-SAGE tags was confirmed with RT-PCR. The defense genes associated with resistance to R. solani identified in this study are useful genomic materials for further elucidation of the molecular basis of the defense response to R. solani and fine mapping of target sheath blight QTLs.

Identification and characterization of in planta-expressed secreted effector proteins from Magnaporthe oryzae that induce cell death in rice.

Interactions between rice and Magnaporthe oryzae involve the recognition of cellular components and the exchange of complex molecular signals from both partners. How these interactions occur in rice cells is still elusive. We employed robust-long serial analysis of gene expression, massively parallel signature sequencing, and sequencing by synthesis to examine transcriptome profiles of infected rice leaves. A total of 6,413 in planta-expressed fungal genes, including 851 genes encoding predicted effector proteins, were identified. We used a protoplast transient expression system to assess 42 of the predicted effector proteins for the ability to induce plant cell death. Ectopic expression assays identified five novel effectors that induced host cell death only when they contained the signal peptide for secretion to the extracellular space. Four of them induced cell death in Nicotiana benthamiana. Although the five effectors are highly diverse in their sequences, the physiological basis of cell death induced by each was similar. This study demonstrates that our integrative genomic approach is effective for the identification of in planta-expressed cell death-inducing effectors from M. oryzae that may play an important role facilitating colonization and fungal growth during infection.

Deep sequencing reveals the complex and coordinated transcriptional regulation of genes related to grain quality in rice cultivars

BackgroundMilling yield and eating quality are two important grain quality traits in rice. To identify the genes involved in these two traits, we performed a deep transcriptional analysis of developing seeds using both massively parallel signature sequencing (MPSS) and sequencing-by-synthesis (SBS). Five MPSS and five SBS libraries were constructed from 6-day-old developing seeds of Cypress (high milling yield), LaGrue (low milling yield), Ilpumbyeo (high eating quality), YR15965 (low eating quality), and Nipponbare (control).ResultsThe transcriptomes revealed by MPSS and SBS had a high correlation co-efficient (0.81 to 0.90), and about 70% of the transcripts were commonly identified in both types of the libraries. SBS, however, identified 30% more transcripts than MPSS. Among the highly expressed genes in Cypress and Ilpumbyeo, over 100 conserved cis regulatory elements were identified. Numerous specifically expressed transcription factor (TF) genes were identified in Cypress (282), LaGrue (312), Ilpumbyeo (363), YR15965 (260), and Nipponbare (357). Many key grain quality-related genes (i.e., genes involved in starch metabolism, aspartate amino acid metabolism, storage and allergenic protein synthesis, and seed maturation) that were expressed at high levels underwent alternative splicing and produced antisense transcripts either in Cypress or Ilpumbyeo. Further, a time course RT-PCR analysis confirmed a higher expression level of genes involved in starch metabolism such as those encoding ADP glucose pyrophosphorylase (AGPase) and granule bound starch synthase I (GBSS I) in Cypress than that in LaGrue during early seed development.ConclusionThis study represents the most comprehensive analysis of the developing seed transcriptome of rice available to date. Using two high throughput sequencing methods, we identified many differentially expressed genes that may affect milling yield or eating quality in rice. Many of the identified genes are involved in the biosynthesis of starch, aspartate family amino acids, and storage proteins. Some of the differentially expressed genes could be useful for the development of molecular markers if they are located in a known QTL region for milling yield or eating quality in the rice genome. Therefore, our comprehensive and deep survey of the developing seed transcriptome in five rice cultivars has provided a rich genomic resource for further elucidating the molecular basis of grain quality in rice.

Magnaporthe grisea Infection Triggers RNA Variation and Antisense Transcript Expression in Rice

Rice blast disease, caused by the fungal pathogen Magnaporthe grisea, is an excellent model system to study plant-fungal interactions and host defense responses. In this study, comprehensive analysis of the rice (Oryza sativa) transcriptome after M. grisea infection was conducted using robust-long serial analysis of gene expression. A total of 83,382 distinct 21-bp robust-long serial analysis of gene expression tags were identified from 627,262 individual tags isolated from the resistant (R), susceptible (S), and control (C) libraries. Sequence analysis revealed that the tags in the R and S libraries had a significant reduced matching rate to the rice genomic and expressed sequences in comparison to the C library. The high level of one-nucleotide mismatches of the R and S library tags was due to nucleotide conversions. The A-to-G and U-to-C nucleotide conversions were the most predominant types, which were induced in the M. grisea-infected plants. Reverse transcription-polymerase chain reaction analysis showed that expression of the adenine deaminase and cytidine deaminase genes was highly induced after inoculation. In addition, many antisense transcripts were induced in infected plants and expression of four antisense transcripts was confirmed by strand-specific reverse transcription-polymerase chain reaction. These results demonstrate that there is a series of dynamic and complex transcript modifications and changes in the rice transcriptome at the M. grisea early infection stages.

Deep transcriptome sequencing reveals the expression of key functional and regulatory genes involved in the abiotic stress signaling pathways in rice

Drought, salt and cold are the major abiotic stresses that limit the rice production. Identification of the key functional and regulatory genes in the abiotic stress signaling pathways is important for understanding the molecular basis of abiotic stress tolerance. In this study, we investigated the transcriptomes of rice leaves and roots under cold, drought, and salt stresses using the massively parallel signature sequencing (MPSS) and sequencing by synthesis (SBS) technologies. About 1.8 to 2.6 million individual signatures were obtained from the seven abiotic-stressed and control libraries of the japonica cultivar Nipponbare. A total of 102,630 and 1,414,788 distinct signatures were obtained from the MPSS and SBS libraries, respectively. Clustering analysis identified many up- and down-regulated genes specifically and commonly expressed in the cold, drought and salt-treated plant leaves and roots. Data mining revealed the expression patterns of key functional and regulatory genes that were involved in different abiotic stress signaling pathways. Highly conserved cis-regulatory elements in the promoter of the up-regulated genes were identified. Our comprehensive and deep survey of abiotic stress transcriptome of rice has provided candidate genes for further understanding the molecular basis of abiotic stress tolerance in rice.

Deep and comparative transcriptome analysis of rice plants infested by the beet armyworm (Spodoptera exigua) and water weevil (Lissorhoptrus oryzophilus).

The beet armyworm (Spodoptera exigua) and the rice water weevil (Lissorhoptrus oryzophilus) are two important insect pests in rice production. To identify insect-responsive genes in rice, we performed a deep transcriptome analysis of Nipponbare rice leaves infested with both beet armyworm and water weevil using massively parallel signature sequencing (MPSS). Many antisense, alternative, and novel transcripts were commonly and specifically induced and suppressed in the infested tissue. Key genes involved in the defense metabolic pathways such as salicylic acid and jasmonic acid biosynthesis pathways were up-regulated in the infested leaves. To validate the MPSS results, we analyzed the transcriptome of the rice leaves infested with water weevils using Solexa’s sequencing-by-synthesis (SBS) method. The MPSS and SBS data were highly correlated (Pearson’s correlation coefficient = 0.85), and 83% of genes had similar gene expression in both libraries. Our comprehensive and in-depth survey of the insect-infested libraries provides a rich genomic resource for further analyzing the function of key regulatory genes involved in insect resistance in rice.

Large scale identification of genes involved in plant-fungal interactions using Illumina's sequencing-by-synthesis technology.

Deep transcriptome profiling of pathogen-infected tissues enhances the understanding of molecular mechanisms underlying host-pathogen interactions. Illuminas next generation sequencing technology sequencing-by-synthesis (SBS) is a powerful tool to rapidly sequence genomes and transcriptomes at an affordable rate. We modified the procedure for SBS library construction to significantly increase the efficiency of library construction. Using our improved method, two Sclerotinia homoeocarpa libraries were constructed from mycelia grown in potato dextrose broth (PDB) or potato dextrose agar (PDA) for 96 h, respectively, and two creeping bentgrass libraries were constructed from leaves 96 h after inoculation with S. homoeocarpa or water sprayed, respectively. About 4-7 million mRNA signatures were sequenced from each library. Sequence analysis using BLAST was performed against sequenced fungal genomes and rice genomic sequence to identify the expressed genes in both S. homoeocarpa mycelia and creeping bentgrass. Bioinformatic analysis identified many expressed genes in the pathogen and host. A public database to access the sequence data was developed at http://www.dstidb.org . Our results demonstrate how SBS technology can unravel transcriptome complexity during the creeping bentgrass-S. homoeocarpa interaction.

Transposable Element Regulation in Rice and Arabidopsis: Diverse Patterns of Active Expression and siRNA-mediated Silencing

Transposable elements (TEs) are DNA segments that can mediate or cause movement within genomes. We performed a comprehensive, whole-genome analysis of annotated TEs in rice (Oryza sativa L.) and Arabidopsis thaliana, focusing on their expression (mRNA data) and silencing (small RNA data), and we compared these data with annotated genes that are not annotated as transposons. TEs demonstrated higher levels of antisense mRNA expression in comparison to non-TE genes. The majority of the TEs were silenced, as demonstrated by higher levels of small RNAs and a lack of mRNA MPSS data. When TEs were expressed, their activity was usually limited to just one or a few of the mRNA libraries. When we examined TE expression at the whole-genome level and across the complete mRNA dataset, we observed that most activity was contributed by a few highly expressed transposable elements. These TEs were characterized by their low copy number and few matching small RNAs. Our results help define the relationship between gene expression and gene silencing for TEs, and indicate that TE silencing can impact neighboring genes, perhaps via a mechanism of heterochromatin formation and spreading. These data may be used to define active TEs and families of transposable elements that continue to shape plant genomes.