Anil Kumar Nalini Chandran

Resources for systems biology in rice

Systems biology is an upcoming trend in the field of functional genomics. Recently, there has been a significant improvement in the resources for systems biology in Oryza sativa (rice), a model crop. These resources include whole-genome sequencing/re-sequencing data, transcriptomes, protein-protein interactomes, reactomes, functional gene network tools, and gene indexed mutant populations. The integration of diverse omics data can lead to greater understanding of the functional genomics of rice. In this review, we address the development and current progress of the resources available for systems biology in rice: Genome browsers and databases for the orthology identification, transcriptome analysis, protein-protein interaction network and functional gene network analyses, a co-expression network, metabolic pathway analysis for promoter analysis, and gene indexed mutants.

Genome-wide identification and analysis of Japonica and Indica cultivar-preferred transcripts in rice using 983 Affymetrix array data

BackgroundAccumulation of genome-wide transcriptome data provides new insight on a genomic scale which cannot be gained by analyses of individual data. The majority of rice (O. sativa) species are japonica and indica cultivars. Genome-wide identification of genes differentially expressed between japonica and indica cultivars will be very useful in understanding the domestication and evolution of rice species.ResultsIn this study, we analyzed 983 of the 1866 entries in the Affymetrix array data in the public database: 595 generated from indica and 388 from japonica rice cultivars. To discover differentially expressed genes in each cultivar, we performed significance analysis of microarrays for normalized data, and identified 490 genes preferentially expressed in japonica and 104 genes in indica. Gene Ontology analyses revealed that defense response-related genes are significantly enriched in both cultivars, indicating that japonica and indica might be under strong selection pressure for these traits during domestication. In addition, 36 (34.6%) of 104 genes preferentially expressed in indica and 256 (52.2%) of 490 genes preferentially expressed in japonica were annotated as genes of unknown function. Biotic stress overview in the MapMan toolkit revealed key elements of the signaling pathway for defense response in japonica or indica eQTLs.ConclusionsThe percentage of screened genes preferentially expressed in indica was 4-fold higher (34.6%) and that in japonica was 5-fold (52.2%) higher than expected (11.1%), suggesting that genes of unknown function are responsible for the novel traits that distinguish japonica and indica cultivars. The identification of 10 functionally characterized genes expressed preferentially in either japonica or indica highlights the significance of our candidate genes during the domestication of rice species. Functional analysis of the roles of individual components of stress-mediated signaling pathways will shed light on potential molecular mechanisms to improve disease resistance in rice.

Loose Plant Architecture1 (LPA1) determines lamina joint bending by suppressing auxin signalling that interacts with C-22-hydroxylated and 6-deoxo brassinosteroids in rice

Highlight LPA1 suppresses auxin signalling that interacts with C-22-hydroxylated and 6-deoxo brassinosteroids, which regulates lamina inclination independently of OsBRI1.

Erratum to Development of functional modules based on co-expression patterns for cell-wall biosynthesis related genes in rice

The functional elucidation of plant cell wall biosynthesis (CWB) related genes is important for understanding various stress tolerance responses as well as enhancing biomass in plants. Despite their significant role in physiology and growth of the plant, the function of a limited number of CWB related genes have been identified. Major obstacles such as functional redundancy and limited functional information pose challenges in the characterization of CWB genes. Here, a genome-wide analysis of CWB genes using meta-expression data revealed their roles in stress tolerance and developmental processes. The identification of coexpressed CWB genes suggests functional modules for plant cell wall biosynthesis associated with specific tissue types, biotic stress, abiotic stress, and hormone responses. More interestingly, we identified that glycosyl hydrolases are specialized for root and pollen development, glycosyltransferases for ubiquitous function and leaf development, and carbohydrate esterases for pollen development. A T-DNA insertional mutant of OsCESA9 showing internode preferred expression revealed severe dwarfism and a co-expression network analysis of OsCESA9 in oscesa9 mutant suggest downstream pathways for secondary cell wall biosynthesis and DNA repair processes. Data from our studies will facilitate functional genomic studies of CWB genes in rice and contribute to the enhancement of biomass and yield in crop plants.

Genome-wide transcriptome analysis of expression in rice seedling roots in response to supplemental nitrogen.

Nitrogen (N) is the most important macronutrient for plant growth and grain yields. For rice crops, nitrate and ammonium are the major N sources. To explore the genomic responses to ammonium supplements in rice roots, we used 17-day-old seedlings grown in the absence of external N that were then exposed to 0.5mM (NH4)2SO4 for 3h. Transcriptomic profiles were examined by microarray experiments. In all, 634 genes were up-regulated at least two-fold by the N-supplement when compared with expression in roots from untreated control plants. Gene Ontology (GO) enrichment analysis revealed that those upregulated genes are associated with 23 GO terms. Among them, metabolic processes for diverse amino acids (i.e., aspartate, threonine, tryptophan, glutamine, l-phenylalanine, and thiamin) as well as nitrogen compounds are highly over-represented, demonstrating that our selected genes are suitable for studying the N-response in roots. This enrichment analysis also indicated that nitrogen is closely linked to diverse transporter activities by primary metabolites, including proteins (amino acids), lipids, and carbohydrates, and is associated with carbohydrate catabolism and cell wall organization. Integration of results from omics analysis of metabolic pathways and transcriptome data using the MapMan tool suggested that the TCA cycle and pathway for mitochondrial electron transport are co-regulated when rice roots are exposed to ammonium. We also investigated the expression of N-responsive marker genes by performing a comparative analysis with root samples from plants grown under different NH4(+) treatments. The diverse responses to such treatment provide useful insight into the global changes related to the shift from an N-deficiency to an enhanced N-supply in rice, a model crop plant.

Molecular insights into the function of ankyrin proteins in plants

Ankyrin (ANK) repeat domain-containing proteins comprise one of the largest known protein superfamilies in all species including plants. Recently, several genomeanalysis studies have provided valuable information on the structure of ANK proteins in plants. Among the 13 subgroups based on the presence of various additional domains in addition to the ANK domain, the E3 ubiquitin ligase activity and transcriptional regulation functions of ANK-RF and ANK-ZF subgroup members, respectively, are relatively well understood. NPR1 (nonexpressor of pathogenesis-related1), a key regulator of systemic acquired resistance in Arabidopsis, is a noteworthy member of the ANK-BTB subgroup; however, ANK-M and ANK-TM, the two main subgroups, have been less functionally characterized. With the ability to mediate protein-protein interactions, the majority of plant ANK proteins play crucial roles in defense responses and, on occasion, functions in growth and development. In this review, we summarize on the current knowledge of plant ANK superfamily members and focus on ANK proteins involved in defense responses. In addition, we provide a valuable framework for the future functional characterization of ANK genes with current unknown function in rice, a model crop species.

OsPhyB-Mediating Novel Regulatory Pathway for Drought Tolerance in Rice Root Identified by a Global RNA-Seq Transcriptome Analysis of Rice Genes in Response to Water Deficiencies.

Water deficiencies are one of the most serious challenges to crop productivity. To improve our understanding of soil moisture stress, we performed RNA-Seq analysis using roots from 4-week-old rice seedlings grown in soil that had been subjected to drought conditions for 2–3 d. In all, 1,098 genes were up-regulated in response to soil moisture stress for 3 d, which causes severe damage in root development after recovery, unlikely that of 2 d. Comparison with previous transcriptome data produced in drought condition indicated that more than 68% of our candidate genes were not previously identified, emphasizing the novelty of our transcriptome analysis for drought response in soil condition. We then validated the expression patterns of two candidate genes using a promoter-GUS reporter system in planta and monitored the stress response with novel molecular markers. An integrating omics tool, MapMan analysis, indicated that RING box E3 ligases in the ubiquitin-proteasome pathways are significantly stimulated by induced drought. We also analyzed the functions of 66 candidate genes that have been functionally investigated previously, suggesting the primary roles of our candidate genes in resistance or tolerance relating traits including drought tolerance (29 genes) through literature searches besides diverse regulatory roles of our candidate genes for morphological traits (15 genes) or physiological traits (22 genes). Of these, we used a T-DNA insertional mutant of rice phytochrome B (OsPhyB) that negatively regulates a plants degree of tolerance to water deficiencies through the control of total leaf area and stomatal density based on previous finding. Unlike previous result, we found that OsPhyB represses the activity of ascorbate peroxidase and catalase mediating reactive oxygen species (ROS) processing machinery required for drought tolerance of roots in soil condition, suggesting the potential significance of remaining uncharacterized candidate genes for manipulating drought tolerance in rice.

Updated Rice Kinase Database RKD 2.0: enabling transcriptome and functional analysis of rice kinase genes

BackgroundProtein kinases catalyze the transfer of a phosphate moiety from a phosphate donor to the substrate molecule, thus playing critical roles in cell signaling and metabolism. Although plant genomes contain more than 1000 genes that encode kinases, knowledge is limited about the function of each of these kinases. A major obstacle that hinders progress towards kinase characterization is functional redundancy. To address this challenge, we previously developed the rice kinase database (RKD) that integrated omics-scale data within a phylogenetics context.ResultsAn updated version of rice kinase database (RKD) that contains metadata derived from NCBI GEO expression datasets has been developed. RKD 2.0 facilitates in-depth transcriptomic analyses of kinase-encoding genes in diverse rice tissues and in response to biotic and abiotic stresses and hormone treatments. We identified 261 kinases specifically expressed in particular tissues, 130 that are significantly up- regulated in response to biotic stress, 296 in response to abiotic stress, and 260 in response to hormones. Based on this update and Pearson correlation coefficient (PCC) analysis, we estimated that 19 out of 26 genes characterized through loss-of-function studies confer dominant functions. These were selected because they either had paralogous members with PCC values of <0.5 or had no paralog.ConclusionCompared with the previous version of RKD, RKD 2.0 enables more effective estimations of functional redundancy or dominance because it uses comprehensive expression profiles rather than individual profiles. The integrated analysis of RKD with PCC establishes a single platform for researchers to select rice kinases for functional analyses.

Genome-wide identification and analysis of rice genes to elucidate morphological agronomic traits

Molecular understanding of morphological agronomic traits is very important to improve grain yield and quality. According to the literature information summarized in Overview of Functionally Characterized Genes in Rice online database, 430 genes related to these traits have been functionally characterized in rice, while the functions of other genes remain to be elucidated. Gene indexed mutants are available for at least half of the genes identified in the rice genome, and are very useful resources to study gene function. To suggest candidate genes for functional studies associated with morphological agronomic traits, we identified genes with tissue/organ-preferred expression patterns through meta-analysis of microarray data, and identified 781 genes for roots, 1,084 for leaves, 1,029 for calluses, 927 for anthers, 241 for embryos, and 343 for endosperms. Additionally, 4,243 genes expressed in all tissue types were allocated to a ubiquitously-expressed gene group (‘housekeeping’ genes). The estimated tissue/organ-preferred and housekeeping genes accounted for 40% of the characterized genes associated with morphological agronomic traits, indicating that identification of tissue/organ-preferred genes is an effective way to provide putative gene function. In this study, we reported the information of gene-indexed mutants for 84% of the identified candidate genes. Our candidate genes and relating indexed mutant resources can potentially be used to improve morphological agronomic traits in rice.

Genome-wide identification and analysis of rice genes preferentially expressed in pollen at an early developmental stage

Microspore production using endogenous developmental programs has not been well studied. The main limitation is the difficulty in identifying genes preferentially expressed in pollen grains at early stages. To overcome this limitation, we collected transcriptome data from anthers and microspore/pollen and performed meta-expression analysis. Subsequently, we identified 410 genes showing preferential expression patterns in early developing pollen samples of both japonica and indica cultivars. The expression patterns of these genes are distinguishable from genes showing pollen mother cell or tapetum-preferred expression patterns. Gene Ontology enrichment and MapMan analyses indicated that microspores in rice are closely linked with protein degradation, nucleotide metabolism, and DNA biosynthesis and regulation, while the pollen mother cell or tapetum are strongly associated with cell wall metabolism, lipid metabolism, secondary metabolism, and RNA biosynthesis and regulation. We also generated transgenic lines under the control of the promoters of eight microspore-preferred genes and confirmed the preferred expression patterns in plants using the GUS reporting system. Furthermore, cis-regulatory element analysis revealed that pollen specific elements such as POLLEN1LELAT52, and 5659BOXLELAT5659 were commonly identified in the promoter regions of eight rice genes with more frequency than estimation. Our study will provide new sights on early pollen development in rice, a model crop plant.