In plants, sensing the levels of external and internal nutrients is essential for reprogramming the transcriptome and adapting to the fluctuating environment. Phosphate (Pi) is a key plant nutrient, and a large proportion of Pi starvation-responsive genes are under the control of PHOSPHATE STARVATION RESPONSE REGULATOR 1 (PHR1) in Arabidopsis (AtPHR1) and its homologs, such as Oryza sativa (Os)PHR2 in rice. AtPHR1 and OsPHR2 expression is not very responsive to Pi starvation, raising the question as to how plants sense changes in cellular Pi levels to activate the central regulator. SPX [named after SYG1 (suppressor of yeast gpa1), Pho81 (CDK inhibitor in yeast PHO pathway), and XPR1 (xenotropic and polytropic retrovirus receptor)] proteins that harbor only the SPX domain are reported to be involved in the negative regulation of Pi starvation responses. Here, we show that the nuclear localized SPX proteins SPX1 and SPX2 are Pi-dependent inhibitors of the activity of OsPHR2 in rice. Indeed, SPX1 and SPX2 proteins interact with PHR2 through their SPX domain, inhibiting its binding to P1BS (the PHR1-binding sequence: GNATATNC). In vivo data, as well as results from in vitro experiments using purified SPX1, SPX2, and OsPHR2 proteins, showed that SPX1 and SPX2 inhibition of OsPHR2 activity is Pi-dependent. These data provide evidence to support the involvement of SPX1 and SPX2 in the Pi-sensing mechanism in plants.SPX-domain protein | PHR2 | Pi signaling | Pi-dependent inhibition P hosphorus (P) is an essential macroelement for plant growth and development. Because of high chemical fixation, slow diffusion, and substantial fractions of organic compounds by microorganisms, phosphate (Pi) limitation is usually a constraint for crop production in cultivated soils (1). However, intensive application of P fertilizer to increase agricultural production results in higher cost and environmental pollution and aggravates the shortage of nonrenewable resources worldwide for P fertilizer production (2). Therefore, improving effective Pi use by crops to reduce agricultural dependence on heavy Pi fertilizer application is an important challenge for sustainable agricultural production.The role of Arabidopsis PHOSPHATE STARVATION RESPONSE REGULATOR 1 (AtPHR1) and its orthologs as important regulators in Pi signaling and homeostasis through binding to the PHR1-binding sequence (P1BS) is well established in plants. AtPHR1 binds as a dimer to an imperfect palindromic sequence (GNATATNC), and this DNA-binding ability is dependent on the MYB and coiled-coil (CC) domains present in AtPHR1 and related proteins (3, 4). Orthologs of AtPHR1 have also been described in rice [Oryza sativa ( The SPX domain (Pfam PF03105) is named after the suppressor of yeast gpa1 (SYG1), the yeast cyclin-dependent kinase inhibitor (PHO81), and the human xenotropic and polytropic retrovirus receptor 1 (XPR1). In yeast (Saccharomyces cerevisiae), the SPX domain forms part of the competitive dual-transporter system that prolongs preparation for starvation and faci...

Phosphate transporters (PTs) mediate phosphorus uptake and are regulated at the transcriptional and posttranslational levels. In one key mechanism of posttranslational regulation, phosphorylation of PTs affects their trafficking from the endoplasmic reticulum (ER) to the plasma membrane. However, the kinase(s) mediating PT phosphorylation and the mechanism leading to ER retention of phosphorylated PTs remain unclear. In this study, we identified a rice (Oryza sativa) kinase subunit, CK2b3, which interacts with PT2 and PT8 in a yeast two-hybrid screen. Also, the CK2a3/b3 holoenzyme phosphorylates PT8 under phosphate-sufficient conditions. This phosphorylation inhibited the interaction of PT8 with PHOSPHATE TRANSPORTER TRAFFIC FACILITATOR1, a key cofactor regulating the exit of PTs from the ER to the plasma membrane. Additionally, phosphorus starvation promoted CK2b3 degradation, relieving the negative regulation of PT phosphorus-insufficient conditions. In accordance, transgenic expression of a nonphosphorylatable version of OsPT8 resulted in elevated levels of that protein at the plasma membrane and enhanced phosphorus accumulation and plant growth under various phosphorus regimes. Taken together, these results indicate that CK2a3/b3 negatively regulates PTs and phosphorus status regulates CK2a3/b3.

Phosphorus (P), an essential macronutrient for all living cells, is indispensable for agricultural production. Although Arabidopsis (Arabidopsis thaliana) PHOSPHATE RESPONSE1 (PHR1) and its orthologs in other species have been shown to function in transcriptional regulation of phosphate (Pi) signaling and Pi homeostasis, an integrative comparison of PHR1-related proteins in rice (Oryza sativa) has not previously been reported. Here, we identified functional redundancy among three PHR1 orthologs in rice (OsPHR1, OsPHR2, and OsPHR3) using phylogenetic and mutation analysis. OsPHR3 in conjunction with OsPHR1 and OsPHR2 function in transcriptional activation of most Pi starvation-induced genes. Loss-of-function mutations in any one of these transcription factors (TFs) impaired root hair growth (primarily root hair elongation). However, these three TFs showed differences in DNA binding affinities and messenger RNA expression patterns in different tissues and growth stages, and transcriptomic analysis revealed differential effects on Pi starvation-induced gene expression of single mutants of the three TFs, indicating some degree of functional diversification. Overexpression of genes encoding any of these TFs resulted in partial constitutive activation of Pi starvation response and led to Pi accumulation in the shoot. Furthermore, unlike OsPHR2-overexpressing lines, which exhibited growth retardation under normal or Pi-deficient conditions, OsPHR3-overexpressing plants exhibited significant tolerance to low-Pi stress but normal growth rates under normal Pi conditions, suggesting that OsPHR3 would be useful for molecular breeding to improve Pi uptake/use efficiency under Pi-deficient conditions. We propose that OsPHR1, OsPHR2, and OsPHR3 form a network and play diverse roles in regulating Pi signaling and homeostasis in rice.

Plant breeding programs and a wide range of plant science applications would greatly benefit from the development of in-field high throughput phenotyping technologies. In this study, a terrestrial LiDAR-based high throughput phenotyping system was developed. A 2D LiDAR was applied to scan plants from overhead in the field, and an RTK-GPS was used to provide spatial coordinates. Precise 3D models of scanned plants were reconstructed based on the LiDAR and RTK-GPS data. The ground plane of the 3D model was separated by RANSAC algorithm and a Euclidean clustering algorithm was applied to remove noise generated by weeds. After that, clean 3D surface models of cotton plants were obtained, from which three plot-level morphologic traits including canopy height, projected canopy area, and plant volume were derived. Canopy height ranging from 85th percentile to the maximum height were computed based on the histogram of the z coordinate for all measured points; projected canopy area was derived by projecting all points on a ground plane; and a Trapezoidal rule based algorithm was proposed to estimate plant volume. Results of validation experiments showed good agreement between LiDAR measurements and manual measurements for maximum canopy height, projected canopy area, and plant volume, with R2-values of 0.97, 0.97, and 0.98, respectively. The developed system was used to scan the whole field repeatedly over the period from 43 to 109 days after planting. Growth trends and growth rate curves for all three derived morphologic traits were established over the monitoring period for each cultivar. Overall, four different cultivars showed similar growth trends and growth rate patterns. Each cultivar continued to grow until ~88 days after planting, and from then on varied little. However, the actual values were cultivar specific. Correlation analysis between morphologic traits and final yield was conducted over the monitoring period. When considering each cultivar individually, the three traits showed the best correlations with final yield during the period between around 67 and 109 days after planting, with maximum R2-values of up to 0.84, 0.88, and 0.85, respectively. The developed system demonstrated relatively high throughput data collection and analysis.

A LiDAR-based high-throughput phenotyping (HTP) system was developed for cotton plant phenotyping in the field. The HTP system consists of a 2D LiDAR and an RTK-GPS mounted on a high clearance tractor. The LiDAR scanned three rows of cotton plots simultaneously from the top and the RTK-GPS was used to provide the spatial coordinates of the point cloud during data collection. Configuration parameters of the system were optimized to ensure the best data quality. A height profile for each plot was extracted from the dense three dimensional point clouds; then the maximum height and height distribution of each plot were derived. In lab tests, single plants were scanned by LiDAR using 0.5 • angular resolution and results showed an R 2 value of 1.00 (RMSE = 3.46 mm) in comparison to manual measurements. In field tests using the same angular resolution; the LiDAR-based HTP system achieved average R 2 values of 0.98 (RMSE = 65 mm) for cotton plot height estimation; compared to manual measurements. This HTP system is particularly useful for large field application because it provides highly accurate measurements; and the efficiency is greatly improved compared to similar studies using the side view scan.