ArticlePlant physiology2021
A multiple ion-uptake phenotyping platform reveals shared mechanisms affecting nutrient uptake by roots.
Article in Plant physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 45 citations in OpenAlex.
- Root traits are strongly associated with nitrogen uptake efficiency in contrasting rapeseed genotypes.BMC plant biology · 2026Article
- Machine learning-guided multi-omics suggests iron-dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress.The New phytologist · 2026Article
- Root anatomy governs bi-directional resource transfer in mycorrhizal symbiosis.Nature communications · 2025Review
- Ion Interference Reduces the Uptake and Accumulation of Magnesium Ions in Tea Plants (Plants (Basel, Switzerland) · 2025Article
- Exogenous melatonin alleviates drought stress in cotton by enhancing root cortical activity and metabolic adaptation.Frontiers in plant science · 2025Article
- Root phenotypes for improved nitrogen capture.Plant and soil · 2024Review
- Maize heat shock proteins-prospection, validation, categorization and in silico analysis of the different ZmHSP families.Stress biology · 2023Article
- Nitrogen supply affects ion homeostasis by modifying root Casparian strip formation through the miR528-LAC3 module in maize.Plant communications · 2023Article
- High-throughput, dynamic, multi-dimensional: an expanding repertoire of plant respiration measurements.Plant physiology · 2023Article
- Enhancing crop yields through improvements in the efficiency of photosynthesis and respiration.The New phytologist · 2023Review
- Unlocking All-Solid Ion Selective Electrodes: Prospects in Crop Detection.Sensors (Basel, Switzerland) · 2022Review
- Optimisation of root traits to provide enhanced ecosystem services in agricultural systems: A focus on cover crops.Plant, cell & environment · 2022Review
- Resources for image-based high-throughput phenotyping in crops and data sharing challenges.Plant physiology · 2021Article
- Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships.Nature communications · 2021Article
- Application of Synthetic Peptide CEP1 Increases Nutrient Uptake Rates Along Plant Roots.Frontiers in plant science · 2021Article
- Evaluating nitrogen uptake: Methods and applications for plant research.Applications in plant sciencesReview
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nutrient uptake is critical for crop growth and is determined by root foraging in soil. Growth and branching of roots lead to effective root placement to acquire nutrients, but relatively little is known about absorption of nutrients at the root surface from the soil solution. This knowledge gap could be alleviated by understanding sources of genetic variation for short-term nutrient uptake on a root length basis. A modular platform called RhizoFlux was developed for high-throughput phenotyping of multiple ion-uptake rates in maize (Zea mays L.). Using this system, uptake rates were characterized for the crop macronutrients nitrate, ammonium, potassium, phosphate, and sulfate among the Nested Association Mapping (NAM) population founder lines. The data revealed substantial genetic variation for multiple ion-uptake rates in maize. Interestingly, specific nutrient uptake rates (nutrient uptake rate per length of root) were found to be both heritable and distinct from total uptake and plant size. The specific uptake rates of each nutrient were positively correlated with one another and with specific root respiration (root respiration rate per length of root), indicating that uptake is governed by shared mechanisms. We selected maize lines with high and low specific uptake rates and performed an RNA-seq analysis, which identified key regulatory components involved in nutrient uptake. The high-throughput multiple ion-uptake kinetics pipeline will help further our understanding of nutrient uptake, parameterize holistic plant models, and identify breeding targets for crops with more efficient nutrient acquisition.
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