ReviewPlant physiology2023
Monitoring nutrients in plants with genetically encoded sensors: achievements and perspectives.
Review in Plant physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Sentinel plants enable quantitative monitoring of bioavailable nitrate in soils and microbial environments.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Homeostasis of ammonium and nitrate in plants.Quantitative plant biology · 2026Review
- Arginine, a key amino acid for nitrogen nutrition and metabolism of forest trees.Journal of experimental botany · 2025Review
- Shrink or expand? Just relax! Bidirectional grana structural dynamics as early light-induced regulator of photosynthesis.The New phytologist · 2025Article
- Trends of Nanobiosensors in Modern Agriculture Systems.Applied biochemistry and biotechnology · 2025Review
- Potassium extrusion by plant cells: evolution from an emergency valve to a driver of long-distance transport.The New phytologist · 2025Review
- Recent advances in research on phosphate starvation signaling in plants.Journal of plant research · 2024Review
- Fluorescent Protein-Based Sensors for Detecting Essential Metal Ions across the Tree of Life.ACS sensors · 2024Review
- New horizons in smart plant sensors: key technologies, applications, and prospects.Frontiers in plant science · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding mechanisms of nutrient allocation in organisms requires precise knowledge of the spatiotemporal dynamics of small molecules in vivo. Genetically encoded sensors are powerful tools for studying nutrient distribution and dynamics, as they enable minimally invasive monitoring of nutrient steady-state levels in situ. Numerous types of genetically encoded sensors for nutrients have been designed and applied in mammalian cells and fungi. However, to date, their application for visualizing changing nutrient levels in planta remains limited. Systematic sensor-based approaches could provide the quantitative, kinetic information on tissue-specific, cellular, and subcellular distributions and dynamics of nutrients in situ that is needed for the development of theoretical nutrient flux models that form the basis for future crop engineering. Here, we review various approaches that can be used to measure nutrients in planta with an overview over conventional techniques, as well as genetically encoded sensors currently available for nutrient monitoring, and discuss their strengths and limitations. We provide a list of currently available sensors and summarize approaches for their application at the level of cellular compartments and organelles. When used in combination with bioassays on intact organisms and precise, yet destructive analytical methods, the spatiotemporal resolution of sensors offers the prospect of a holistic understanding of nutrient flux in plants.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.