Summary
Crop plants undergo morpho‐physiological changes throughout the growth process in response to both the internal and the external environment, and that eventually determine the yield. The ...system‐level adjustment of the morpho‐physiological changes has remained largely unclear, however, especially in field conditions. Here, we reveal changes in nutrient status associated with tiller development and soil conditions based on the leaf transcriptome profile of rice (Oryza sativa) throughout the entire period of growth. We performed gene co‐expression network analysis and identified three gene sets as indicators for monitoring the internal nitrogen and phosphorus status. Expression profiling reveals that the phosphorus starvation response is expressed during the tillering stage and is then switched off with the transition to nitrogen deficiency. Coincident with phosphorus status dynamics, the level of phosphate in the leaf is demonstrated to be low during the tillering stage and subsequently increases drastically. The phosphorus dynamics are genetically validated by analysing mutants with a defect in phosphorus homeostasis. Notably, we show that nitrogen limitation directly suppresses the phosphorus starvation response. Finally, the phosphorus starvation response is demonstrated to be activated in soil with a high phosphate retention capacity, without the visible phenotypes associated with phosphorus starvation. Our results reveal a growth stage‐ and soil condition‐dependent reaction that requires phosphorus, which is expressed to promote the phosphorus uptake required for developing tillers and is directly adjusted by nitrogen status. A molecular framework for elucidating nutrient status dynamics under field conditions would provide insights into improving crop productivity.
Significance Statement
The system‐level adjustment of the morpho‐physiological changes of crop plants has remained largely unclear, especially under field conditions. Here, we identified indicator gene sets to monitor the changes in nitrogen and phosphorus status, and reveal that nitrogen limitation suppresses the phosphorus‐activated reaction needed for the acquisition of phosphate for tiller development under field conditions with low available phosphorus in rice.
The genetic improvement of drought resistance is essential for stable and adequate crop production in drought-prone areas. Here we demonstrate that alteration of root system architecture improves ...drought avoidance through the cloning and characterization of DEEPER ROOTING 1 (DRO1), a rice quantitative trait locus controlling root growth angle. DRO1 is negatively regulated by auxin and is involved in cell elongation in the root tip that causes asymmetric root growth and downward bending of the root in response to gravity. Higher expression of DRO1 increases the root growth angle, whereby roots grow in a more downward direction. Introducing DRO1 into a shallow-rooting rice cultivar by backcrossing enabled the resulting line to avoid drought by increasing deep rooting, which maintained high yield performance under drought conditions relative to the recipient cultivar. Our experiments suggest that control of root system architecture will contribute to drought avoidance in crops.
Genome-wide transcriptome profiling is a powerful tool for identifying key genes and pathways involved in plant development and physiological processes. This review summarizes studies that have used ...transcriptome profiling mainly in rice to focus on responses to macronutrients such as nitrogen, phosphorus and potassium, and spatio-temporal root profiling in relation to the regulation of root system architecture as well as nutrient uptake and transport. We also discuss strategies based on meta- and co-expression analyses with different attributed transcriptome data, which can be used for investigating the regulatory mechanisms and dynamics of nutritional responses and adaptation, and speculate on further advances in transcriptome profiling that could have potential application to crop breeding and cultivation.
Phosphorus (P) is one of the macronutrients indispensable for crop production, and therefore it is important to understand the potential of plants to adapt to low P conditions. We compared growth and ...leaf genome‐wide transcriptome of four rice cultivars during growth between two fields with different amount of available phosphate and further analysed the acceptable range of P levels for normal growth from the view of both appearance traits and internal P nutrient status, which was measured by profiling the expression of the P indicator gene. This demonstrated that rice plants have a robustness to moderate P‐deficient conditions expressing a system for P acquisition and usage without any effects on yield potential and that P indicator gene expression could be a useful index for early diagnosis of P status in plants. To develop a simple method for assessment of P status, we tried to predict the expression level using reflectance spectroscopy and hyperspectral imaging, thereby providing models with good performance. Our findings suggest that rice plants have the potential to adapt to moderate low P conditions in the field and showed that the hyperspectral technique is one of the useful tools for simple measurement of molecular‐level dynamics reflecting internal nutrient conditions.
Summary Statement
We showed that rice plants have a robustness to moderate P deficiency expressing a system for P acquisition and usage. Furthermore, we demonstrated that the expression of the P indicator gene is useful for the early diagnosis of P status in plants and can be predicted by hyperspectral techniques.
A wide range of resources on gene expression profiling enhance various strategies in plant molecular biology particularly in characterization of gene function. We have updated our gene expression ...profile database, RiceXPro (http://ricexpro.dna.affrc.go.jp/), to provide more comprehensive information on the transcriptome of rice encompassing the entire growth cycle and various experimental conditions. The gene expression profiles are currently grouped into three categories, namely, 'field/development' with 572 data corresponding to 12 data sets, 'plant hormone' with 143 data corresponding to 13 data sets and 'cell- and tissue-type' comprising of 38 microarray data. In addition to the interface for retrieving expression information of a gene/genes in each data set, we have incorporated an interface for a global approach in searching an overall view of the gene expression profiles from multiple data sets within each category. Furthermore, we have also added a BLAST search function that enables users to explore expression profile of a gene/genes with similarity to a query sequence. Therefore, the updated version of RiceXPro can be used more efficiently to survey the gene expression signature of rice in sufficient depth and may also provide clues on gene function of other cereal crops.
The plant hormone auxin is essential for root formation. After auxin perception, transmission of the auxin signal progresses through the degradation of Aux/IAA proteins. In this study, we newly ...isolated and characterized a rice gain-of-function mutant, Osiaa13, containing a single amino acid substitution in the core sequence required for the degradation of the OsIAA13 protein. The Osiaa13 mutant displayed typical auxin-related phenotypes: the number of lateral roots was significantly reduced and the root gravitropic response was defective. Osiaa13 mutants also exhibited altered GUS staining controlled by the DR5 promoter in lateral root initiation sites. Furthermore, expression levels of several genes that might be associated with lateral root initiation were altered in Osiaa13. Taken together, our results indicate that OsIAA13 is involved in auxin signaling and controls the expression of genes that are required for lateral root initiation in rice.
Similarity of gene expression across a wide range of biological conditions can be efficiently used in characterization of gene function. We have constructed a rice gene coexpression database, ...RiceFREND (http://ricefrend.dna.affrc.go.jp/), to identify gene modules with similar expression profiles and provide a platform for more accurate prediction of gene functions. Coexpression analysis of 27 201 genes was performed against 815 microarray data derived from expression profiling of various organs and tissues at different developmental stages, mature organs throughout the growth from transplanting until harvesting in the field and plant hormone treatment conditions, using a single microarray platform. The database is provided with two search options, namely, 'single guide gene search' and 'multiple guide gene search' to efficiently retrieve information on coexpressed genes. A user-friendly web interface facilitates visualization and interpretation of gene coexpression networks in HyperTree, Cytoscape Web and Graphviz formats. In addition, analysis tools for identification of enriched Gene Ontology terms and cis-elements provide clue for better prediction of biological functions associated with the coexpressed genes. These features allow users to clarify gene functions and gene regulatory networks that could lead to a more thorough understanding of many complex agronomic traits.
Summary
The root system is a crucial determinant of plant growth potential because of its important functions, e.g. uptake of water and nutrients, structural support and interaction with symbiotic ...organisms. Elucidating the molecular mechanism of root development and functions is therefore necessary for improving plant productivity, particularly for crop plants, including rice (Oryza sativa). As an initial step towards developing a comprehensive understanding of the root system, we performed a large‐scale transcriptome analysis of the rice root via a combined laser microdissection and microarray approach. The crown root was divided into eight developmental stages along the longitudinal axis and three radial tissue types at two different developmental stages, namely: epidermis, exodermis and sclerenchyma; cortex; and endodermis, pericycle and stele. We analyzed a total of 38 microarray data and identified 22 297 genes corresponding to 17 010 loci that showed sufficient signal intensity as well as developmental‐ and tissue type‐specific transcriptome signatures. Moreover, we clarified gene networks associated with root cap function and lateral root formation, and further revealed antagonistic and synergistic interactions of phytohormones such as auxin, cytokinin, brassinosteroids and ethylene, based on the expression pattern of genes related to phytohormone biosynthesis and signaling. Expression profiling of transporter genes defined not only major sites for uptake and transport of water and nutrients, but also distinct signatures of the radial transport system from the rhizosphere to the xylem vessel for each nutrient. All data can be accessed from our gene expression profile database, RiceXPro (http://ricexpro.dna.affrc.go.jp), thereby providing useful information for understanding the molecular mechanisms involved in root system development of crop plants.
Background
Macronutrients are pivotal elements for proper plant growth and development. Although extensive gene expression profiling revealed a large number of genes differentially expressed under ...various nutrient deprivation, characterization of these genes has never been fully explored especially in rice. Coexpression network analysis is a useful tool to elucidate the functional relationships of genes based on common expression. Therefore, we performed microarray analysis of rice shoot under nitrogen (N), phosphorus (P), and potassium (K) deficiency conditions. Moreover, we conducted a large scale coexpression analysis by integrating the data with previously generated gene expression profiles of organs and tissues at different developmental stages to obtain a global view of gene networks associated with plant response to nutrient deficiency.
Results
We statistically identified 5400 differentially expressed genes under the nutrient deficiency treatments. Subsequent coexpression analysis resulted in the extraction of 6 modules (groups of highly interconnected genes) with distinct gene expression signatures. Three of these modules comprise mostly of downregulated genes under N deficiency associated with distinct functions such as development of immature organs, protein biosynthesis and photosynthesis in chloroplast of green tissues, and fundamental cellular processes in all organs and tissues. Furthermore, we identified one module containing upregulated genes under N and K deficiency conditions, and a number of genes encoding protein kinase, kinase-like domain containing protein and nutrient transporters. This module might be particularly involved in adaptation to nutrient deficiency via phosphorylation-mediated signal transduction and/or post-transcriptional regulation.
Conclusions
Our study demonstrated that large scale coexpression analysis is an efficient approach in characterizing the nutrient response genes based on biological functions and could provide new insights in understanding plant response to nutrient deficiency.
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