Next Article in Journal
Synthesis of Epoxyoxirenes: Phytotoxic Activity and Enzymatic Target Identification
Previous Article in Journal
An Overview of Upland Peatlands’ Vegetation of Apennines, Sicily, and Sardinia (Italy)
Previous Article in Special Issue
Allelic Expression Dynamics of Regulatory Factors During Embryogenic Callus Induction in ABB Banana (Musa spp. cv. Bengal, ABB Group)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Non-Invasive Micro-Test Technology in Plant Physiology Under Abiotic Stress: From Mechanism to Application

by
Tianpeng Zhang
1,
Peipei Yin
1,
Xinghong Yang
2,
Yunqi Liu
3 and
Ruirui Xu
1,*
1
College of Biology and Oceanography, Weifang University, Weifang 261061, China
2
State Key Laboratory of Wheat Improvement, College of Life Sciences, Shandong Agricultural University, Tai’an 271000, China
3
Zhongguancun Xuyue Non-Invasive Micro-Test Technology Industrial Alliance, Beijing 100080, China
*
Author to whom correspondence should be addressed.
Plants 2025, 14(13), 1932; https://doi.org/10.3390/plants14131932
Submission received: 26 April 2025 / Revised: 4 June 2025 / Accepted: 20 June 2025 / Published: 23 June 2025
(This article belongs to the Special Issue Advances in Plant Auxin Biology)

Abstract

Non-invasive Micro-test Technology (NMT) represents a pioneering approach in the study of physiological functions within living organisms. This technology possesses the remarkable capability to monitor the flow rates and three-dimensional movement directions of ions or molecules as they traverse the boundaries of living organisms without sample destruction. The advantages of NMT are multifaceted, encompassing real-time, non-invasive assessment, a wide array of detection indicators, and compatibility with diverse sample types. Consequently, it stands as one of the foremost tools in contemporary plant physiological research. This comprehensive review delves into the applications and research advancements of NMT within the field of plant abiotic stress physiology, including drought, salinity, extreme temperature, nutrient deficiency, ammonium toxicity, acid stress, and heavy metal toxicity. Furthermore, it offers a forward-looking perspective on the potential applications of NMT in plant physiology research, underscoring its unique capacity to monitor the flux dynamics of ions/molecules (e.g., Ca2+, H+, K+, and IAA) in real time, reveal early stress response signatures through micrometer-scale spatial resolution measurements, and elucidate stress adaptation mechanisms by quantifying bidirectional nutrient transport across root–soil interfaces. NMT enhances our understanding of the spatiotemporal patterns governing plant–environment interactions, providing deeper insights into the molecular mechanism of abiotic stress resilience.

1. Introduction

Plant adversity encompasses a broad array of environmental factors that are detrimental to plant growth and survival. Through extensive adaptation and evolution in nature, plants have acquired specific resilience and adaptability to harsh conditions, including extreme temperatures, drought, salinity, and heavy metal contamination [1,2,3]. Upon exposure to these environmental stressors, plants perceive and transmit environmental signals through multiple core physiological processes. These include regulating nutrient absorption via root membrane transporters, transducing stress signals through calcium and ROS waves, modulating stomatal aperture via guard cell ion dynamics, and coordinating developmental and stress adaptations through the auxin transport and signaling pathway [4,5,6]. These processes, operating at both organismal and cellular levels, elicit the coordinated transmission and regulation of endogenous and exogenous signals to maintain growth and metabolic homeostasis.
Non-invasive Micro-test Technology (NMT) is a key technology that uses selective microelectrodes to detect the ion and molecular transmembrane transport of living samples without touching or damaging them. NMT can monitor a wide range of samples in vivo, including bacteria, single cells, vacuoles, tissues, and organs. NMT has emerged as a pivotal tool in plant physiology research, particularly in elucidating ionic flux dynamics under abiotic stress conditions. Its adoption has generated paradigm-shifting discoveries in ionic dynamic analysis [7], stress signaling transduction [8], and root growth and development [9], as evidenced by publications in top-tier journals including Science, Cell, and Nature. NMT’s unique capability for non-invasive, real-time monitoring of micron-level plant materials can accurately capture ions’ spatial–temporal movement patterns in plant tissues [10]. This temporal resolution advantage, achieving detection in seconds, proves critical for capturing transient stress responses like rapid calcium signaling response and auxin transport during stress perception [11,12,13]. This technological advancement fosters a better understanding of nature through elucidating fundamental mechanisms underlying plant–environment interactions.

2. An Overview of NMT

NMT represents a diverse array of microelectrode technologies and methodologies. These methodologies include, but are not limited to, Scanning Ion-selective Electrode Technology (SIET), Scanning Vibrating Electrode Technique (SVET), Scanning Polarographic Electrode Technique (SPET), Self-Referencing Ion-Selective Electrode Technique (SERIS), Self-Referencing Polarographic Electrode Technique (SERP), Self-Referencing Enzyme-Assisted Electrode Technique (SERE), Scanning Reference Electrode Technique (SRET), and Microelectrode Ion Flux Estimation Technique (MIFE), alongside other pioneering technologies, as documented by Kunkel and Shabala [14,15].
The development of NMT can be traced back to the pioneering work of Lionel F. Jaffe from the Marine Biological Laboratory (MBL), who first introduced the initial concept in the 1970s. Ian A. Newman conducted the first experiment of H+ and K+ flux measurements in corn roots by using MIFE methodology in 1987 [16]. Subsequently, NMT was successfully employed to measure the Ca2+ flux rate of cells in 1990, addressing numerous scientific challenges [17,18]. In 1995, Smith, also from MBL, further elaborated on the physical principles, mathematical foundations, and application modes of NMT, significantly enhancing the theoretical framework of this technology [19]. By 2001, NMT achieved the capabilities of programmable sensor motion-tracking and three-bit automatic measurement, marking the emergence of modern NMT. The non-invasive micro-measurement system developed by Younger USA LLC (Amherst, MA, USA) and Xuyue (Beijing) Science and Technology Co., Ltd., (Beijing, China) currently represents the ninth generation of automated NMT products. This system received the “internationally leading” achievement evaluation from the Ministry of Science and Technology of China and has obtained certifications from the NMT Industry Alliance in Zhongguancun and ISO9001 quality assurance [20].

2.1. Technical Principles

NMT utilizes flow-rate microsensors to capture the signals of ions and molecules. Based on the Nernst Equation and Fick’s First Law of Diffusion, it calculates the concentrations and flow rates of ions and molecules, enabling the detection of extremely subtle signals with flow rates reaching magnitudes as low as 10−12 mol·cm−2·s−1. The ion-selective microsensor of the NMT system comprises a glass microsensor, a Ag/AgCl wire, an electrolyte, and a liquid ion exchanger. It selectively recognizes specific ions via a class of organic compounds, specifically large neutral molecular carriers, within the liquid ion exchanger. Taking the measurement of the flux rate of Na+ as an illustrative example, the Na+-selective flux rate microsensor achieves selectivity for Na+ through the liquid ion exchanger (LIX) filled at its tip (Figure 1) [21]. The flux rate microsensor measures two points at a predefined distance, dx, within the ion concentration gradient to be assessed, yielding voltages V1 and V2, respectively. The concentration difference, dc, between these two points can be calculated using V1, V2, and the known voltage/concentration correction curve of the microsensor, which is based on the Nernst Equation. D denotes the diffusion constant of the ion (units: cm−2·s−1). Substituting these parameters into Fick’s First Law of Diffusion and the Nernst Equation (J = −D (dc/dx)) yields the flux rate of the ion (units: pico mol·cm−2·s−1), representing the number of moles passing through the ion/molecule per square centimeter per second [22,23]. It is worth noting that NMT calculates ion/molecule flux rates with a sensitivity of 10−13 mol·cm−2·s−1 for ions and 10−15 mol·cm−2·s−1 for molecules. The measurement distance between two sensor points is in the range of 5–50 μm, and NMT offers a time resolution of 4–6 s. Calibration can be achieved by solution preparation via dilution, and fluorescent dyes/optical fibers, carbon nanowires, enzyme electrodes, metals/alloys, and other materials can be utilized to carry out the selective measurement of certain ions/molecules.

2.2. Features, Advantages, and Application Fields

NMT is characterized by in vivo real-time measurements with high sensitivity (up to femtomoles cm−2 s−1) and spatial resolution (0.5–10 μm for ions, 2–25 μm for molecules). Its non-invasive nature allows for the simultaneous quantification of over 50 parameters, including Ca2+, H+, K+, Na+, NH4+, heavy metals (e.g., Cd2+), reactive oxygen species (e.g., H2O2), and phytohormones (e.g., IAA), without sample extraction [10,22,24]. One technical advantage is its unique three-dimensional gradient measurement capability based on Fick’s diffusion laws, enabling the dynamic tracking of ion/molecule fluxes across plant membranes under stress conditions [22,25].
While NMT has broad applications spanning biomedical and pharmacological research (e.g., neural activity detection and drug efficacy evaluation), its significant contributions to plant stress physiology merit particular emphasis. In plant physiology research, NMT has revolutionized our understanding of stress adaptation mechanisms through some key applications, such as ion homeostasis regulation, heavy metal detoxification, oxidative stress response, and auxin transport and signal transduction [10]. The real-time quantification of K+/Na+ flux dynamics in root cells under salinity stress revealed compartmentalization strategies in halophytes [26,27]. NMT’s high resolution enables the detection of H+-ATPase-driven proton gradients crucial for maintaining membrane potential under abiotic stress [28,29]. Furthermore, NMT’s multi-parameter capability (measuring two ions simultaneously) contributes to detecting the transmembrane ion flow rate and external ion concentration, and its high resolution can capture rapid signaling response events in the early stages of visible stress symptoms [10,22]. These developments facilitate the whole-plant analysis of ion redistribution patterns under abiotic stress treatments, significantly advancing our ability to cultivate stress-tolerant genotypes in crops.

3. NMT in Plant Physiology Under Abiotic Stress

The transport of mineral ions into and out of tissues and cells is central to the lives of plants [30]. Auxin plays a critical role in regulating plant adaptation and resilience to abiotic stresses and has agricultural potential for improving crop productivity [31]. NMT revolutionizes our understanding of plant stress response mechanisms by quantifying key ion and molecule fluxes. This includes quantifying ion homeostasis in real time by analyzing K+/Na+ transport kinetics under salinity stress [32], revealing stress signaling pathways by tracking the spatiotemporal patterns of Ca2+ waves under cold stress [13], and elucidating stomatal regulation by dynamically analyzing K+/NO3 redistribution in guard cells and altering polar auxin transport in the root system under drought stress [12,33]. Thus, NMT offers a novel perspective by harnessing dynamic ion/molecular flux information in and out of plants, thereby unveiling more nuanced alterations in the physiological functions of diverse living plant samples. This technique provides a technological pathway for exploring plant functionalities and physiological mechanisms across multiple scales.

3.1. Salt Stress

Soil salinization poses an increasingly serious threat to agricultural and forestry productivity as well as environmental sustainability. It exerts diverse detrimental impacts on plants, encompassing ion toxicity, osmotic stress, and nutrient imbalances, ultimately hampering plant growth [34,35]. In response to a salt stress environment, plants leverage the transmembrane flux of ions across their cellular membranes. Sustaining an optimal K+/Na+ balance ratio is indispensable for plants to acclimate to high-salinity environments [36]. Tissue-specific K+ retention and ROS-specific regulation confer enhanced salinity tolerance in the halophyte quinoa. Tolerant accession specifically exhibited enhanced root plasma membrane integrity and improved K+ retention capacity in the mature root zone under saline stress [37]. NMT and molecular experiment results demonstrate that the superior leaf mesophyll K+ retention capacity in quinoa is conferred by intrinsically lower H+-ATPase activity, the reduced sensitivity of K+ transporters to ROS, and the enhanced sensitivity of ROS-activated Ca2+-permeable channels [38]. Similarly, NMT was employed to conduct a comparative analysis of the salt stress adaptation strategies between barley and triticale, two salt-tolerant cereal species. The results reveal that the desensitization of K+ and Ca2+-ROS-induced cation channels emerged as a key characteristic conferring salt tolerance. Compared with barley genotypes, triticale genotypes demonstrated more effective cytoplasmic K+ retention in the root elongation zone under salt stress conditions [39]. Calmodulin (CaM), a highly conserved calcium-binding protein, plays a crucial role in plants’ responses to salt stress. MIFE measurements revealed that, compared with WT plants, OsCaM1-1 knockout mutants exhibited significantly higher Na+ concentrations and Na+/K+ ratios in both shoots and roots under salt stress, along with reduced transient K+ and Ca2+ fluxes in roots. These findings indicate that OsCaM1-1 positively regulates salt tolerance in rice by mediating Ca2+ signaling to maintain Na+ and K+ homeostasis [40].
The Salt Overly Sensitive (SOS) signaling module, consisting of the sodium transporter SOS1 and regulatory proteins SOS2 and SOS3, represents a well-established central mechanism for salt excretion, aiding plants in combating salt accumulation [5,41]. The findings demonstrate that the salt-induced calcium signal is decoded by 14-3-3 and SOS3/SCaBP8 proteins, which selectively activate/inactivate downstream protein kinases SOS2 and PKS5. These proteins regulate Na+ homeostasis by co-mediating the activity of the Na+/H+ antiporter and H+-ATPase in the plasma membrane. NMT was utilized to ascertain how PKS5 influences plant salt tolerance by monitoring the root Na+ flux in Arabidopsis [42]. Analogously, VPS23A constitutes an essential component of the internal separation complex required for transport, playing a crucial role in the functionality of the SOS module to confer salt tolerance to plants. The determination of the Na+ efflux rate at the Arabidopsis root tip via NMT unveiled that VPS23A positively impacts the secretion of Na+ in plants under high-salinity conditions and underscores the significance of SOS2 sorting in functioning at the cell membrane [41]. In the salt-tolerant woody species Populus euphratica, high salinity (200 mM NaCl) increases the transcription of phospholipase Dδ (PLDδ) in roots and stems. Using NMT and biochemical experiments it was confirmed that PeGLABRA3, a basic helix–loop–helix (bHLH) transcription factor, activates the transcription of AtPLDδ by binding to its promoter region under salt stress. This activation confers Na+ and ROS homeostasis through the PLDδ- and phosphatidic acid-mediated SOS1 signaling pathway, thereby enhancing salt adaptation in Populus euphratica [43].
In plants, glycine-rich RNA-binding proteins (GRPs) have been found to be expressed under various environmental stresses. Following long-term NaCl stress, PeGRP2 negatively affects mRNA stability. Using NMT to measure the Na+ efflux rate in the root meristem zone of Populus euphratica under salt stress, it was observed that NaCl significantly increased Na+ efflux in WT poplar. In transgenic lines, reduced Na+ efflux capacity led to the greater accumulation of salt in the roots [44]. The HKT-type proteins play vital roles in long-distance Na+ transport, maintenance of ion homeostasis, and improvement of salt tolerance in plants. In Limonium bicolor, by integrating NMT results, HKT-type proteins have been demonstrated to be involved in the salt secretion of salt glands for the first time, which provides a new perspective on the functions of HKT-type proteins under salt-stress conditions [45]. Regarding stress mitigation analysis, NMT revealed that exogenous methyl jasmonate (MeJA) promotes Na+ efflux in Nitraria tangutorum roots, reduces the Na+/K+ ratio, and mitigates salt stress [46]. Similarly, boron (B) is an essential micronutrient for plants and plays a significant role in alleviating the inhibitory effects of soil salt stress on plant growth. NMT revealed that exogenous B induces Cl- efflux in roots under NaCl stress, providing critical evidence for exploring the mechanism of boron-mediated alleviation of salt toxicity in sugar beet [47]. Using MIFE, researchers investigated the real-time transport rates of K+ and H+ in barley roots under 200 mM of NaCl stress with boron supplementation. The results reveal that under B-sufficient conditions, both root and shoot Na+ contents were significantly reduced, while the K+ content increased, leading to an elevated K+/Na+ ratio. This physiological adjustment consequently enhanced barley’s tolerance to saline stress [48].
Autofluorescent inclusion (AFI), specifically accumulated in the mesophyll cells of non-secretory mangroves, is associated with salt adaptation. As a representative non-secretory mangrove species, Kandelia obovata exhibits exceptional salt tolerance. NMT and spatial metabolomics confirmed that AFI is structurally identified as condensed tannin (CT). CT biosynthesis showed a positive correlation with Na+ accumulation in leaves, where chloroplast-synthesized CT is cytoplasmically transported to vacuoles, acting as molecular carriers to facilitate the compartmentalized storage of excess Na+, thereby enhancing salt tolerance in Kandelia obovata [49]. Similarly, in studies on Kandelia obovata using NMT, it was confirmed that salicylic acid (SA)-induced salt tolerance relies on H2O2 generated by NADPH oxidases, which modulates Na+/K+ and redox homeostasis under high-salinity conditions [50]. In contrast, brassinosteroid (BR) enhances salt tolerance by reducing oxidative damage and regulating Na+/K+ homeostasis through the S-nitrosoglutathione reductase (GSNOR) and NO signaling pathways, thereby mediating the adaptation of Kandelia obovata to salt stress [51]. Integrated with NMT, elucidating the mechanisms of ion homeostasis regulation and osmoregulation in plants under salt stress will contribute to addressing the critical issues of soil salinity excess and Na+ toxicity in agricultural production and ecosystems (Table 1).

3.2. Alkali Stress

Excessive salt is detrimental to plant growth and development because high soil salinity levels lead to severe degradation of plant ecosystems and negatively impact agricultural productivity. Notably, soil salinity often co-occurs with alkalinity [52]. Natural maize inbred lines exhibit variations in the Na+ content of their aboveground parts and in their tolerance to saline and alkaline conditions (NaHCO3). Specifically, a genome-wide association study revealed that the ZmNSA1 gene influenced alterations in the Na+ content of the aboveground parts of plants under NaHCO3 treatment. Concurrently, NMT was employed to monitor changes in Na+ and H+ transmembrane transport, further elucidating the role of the ZmNSA1 gene in plant saline-alkali tolerance [52]. The plasma membrane (PM) H+-ATPase (AHA) provides energy for critical physiological and biochemical processes in plant cells and plays a crucial role in plant growth and development. Research suggests that calcineurin B-like protein 10 (CBL10) may participate in the regulation of AHA. The NMT results reveal that the proton influx rate in cbl10 mutants was significantly lower than that in WT Arabidopsis plants when exposed to high external pH stress, indicating that CBL10 may act as an interconnected regulator coordinating plant responses to saline and alkaline stresses [53]. Similarly, the calcium-binding protein TaCCD1 in wheat is crucial for regulating the PM H+-ATPase-mediated alkaline stress response. The NMT results show that CCD1-OE lines exhibited a significantly higher H+ efflux rate compared to WT, while CCD1-RNAi lines displayed a markedly lower rate, indicating that TaCCD1 enhances proton extrusion to mediate alkaline stress adaptation [54].
Early steps in the endoplasmic reticulum (ER) lumen and cis-Golgi involve the trimming of N-glycans by Class I α-mannosidases (MNSs), which play critical roles in root growth and stress responses. Under normal pH 6.0 conditions, the mns1 mns2 mns3 Arabidopsis mutant exhibited proton influx in the elongation zone of root tips, whereas alkaline pH 8.2 induced a switch to proton efflux, indicating that alkaline treatment triggers a reversal in the proton flux direction from influx to efflux. In this study, NMT revealed that alkaline stress promotes H+ efflux in mutant roots, providing indirect evidence that N-glycosylation influences IAA synthesis and transport [55]. Rapeseed (Brassica napus L.), a widely cultivated oilseed crop, is susceptible to ion toxicity under saline-alkali conditions. NMT analysis revealed that foliar application of 0.5% CaCl2 solution under NaHCO3 stress significantly alleviated membrane damage caused by ion imbalance, suppressed Na+ influx and K+/Ca2+ efflux in mesophyll cells, and maintained K+/Na+ homeostasis across tissues, thereby promoting seedling growth and development [56]. Along with NMT, elucidating the mechanism of pH homeostasis regulation in plants under alkaline stress will contribute to addressing the critical issues of soil alkalization and high-pH-induced nutrient deficiency in agricultural production and ecosystems (Table 1).

3.3. Water Stress

Water stress is detrimental to plant growth, and the investigation into enhancing plant adaptability to water scarcity and drought stress has garnered significant attention in recent years [12,99,100]. Maintaining root growth during the adaptation process to drought-affected soil is crucial for plants [101,102]. NMT and other methods have confirmed that, under moderate water stress, plants require auxin to stimulate proton secretion at the root tip, thereby regulating the abscisic acid-mediated adaptive processes of plants in response to drought stress [57]. Furthermore, the absorption and transport of K+, H+, and Ca2+ play a pivotal role in the drought tolerance of crops adapted to arid agricultural environments. MIFE results reveal significant differences between long-term K+, H+, and Ca2+ fluxes under drought conditions and those under short-term PEG-induced drought stress. The substantial K+ efflux, apoplastic pH alkalinization (H+ influx), and early Ca2+ efflux response in the mesophyll may serve as chemical signals and critical indicators of drought stress intensity in soybean plants [58]. By employing NMT, the flow rates of K+, H+, and Ca2+ were measured within a 24 h period across various barley lines, including XZ5, a silent line, and an overexpression line. These measurements revealed the significant roles of two key K+ transporters, HvAKT2 and HvHAK1, in the drought tolerance of barley [59]. Drought is one of the primary limiting factors leading to reduced yield and quality in tea production. NMT and plant physiological experimental results reveal that higher ROS scavenging capacity and PM H+-ATPase activity are the main reasons for the superior mesophyll K+ retention capacity of drought-tolerant tea cultivars compared to drought-sensitive cultivars under drought stress [60].
Whole-genome duplication (or polyploidization) events may enhance plant adaptability to harsh environments. Using NMT to measure K+ transport rates in the guard cells of transgenic and wild-type cotton under long-term water stress revealed that GhCIPK6D1 weakens drought resistance by positively regulating K+ uptake, whereas GhCIPK6D3 enhances drought resistance by promoting K+ efflux. This reveals the functional differentiation mechanism of these genes in regulating stomatal movement [61]. Moreover, soil waterlogging creates a hypoxic environment in the root zone, severely affecting plant growth and productivity. Using MIFE, researchers investigated the K+ transport rate in wheat roots under hypoxic stress. The results reveal that hypoxia-sensing in tolerant cultivars triggers early accumulation of reactive oxygen species (ROS), which subsequently activates K+ efflux channels. This leads to decreased cytosolic K+ levels, ultimately inducing caspase-like protease-mediated programmed cell death (PCD). Conversely, elevated K+ levels inhibit caspase-like protease activity, thereby enhancing plant hypoxia tolerance. This study provides novel insights for plant breeders to improve crop waterlogging resistance by modulating K+ homeostasis mechanisms [62].
Auxin biosynthesis and transport are implicated in drought stress response [31]. NMT enables effective real-time monitoring of IAA transport in plant surface tissues while allowing simultaneous observation with existing live imaging techniques [103]. NMT was used with the newly developed IAA sensor to detect real-time auxin transport within rice roots under drought stress. The results reveal that the interaction between RoLe1 and OsAGAP disrupts OsAGAP function, altering polar auxin transport in the root system. This leads to reduced IAA influx into root tip cells, thereby modulating root system development and enhancing drought resistance in rice [12]. In Poncirus trifoliata, phenotypic analysis and NMT demonstrated that seedlings inoculated with the arbuscular mycorrhizal fungus (Funneliformis mosseae) exhibited significantly higher root hair density, length, diameter, and root IAA levels while displaying lower total root IAA efflux. These adaptations collectively enhance the drought resistance of host plants [63].
N6-methyladenosine (m6A) is the most prevalent internal modification in mRNAs, and drought response is highly regulated at the genomic, transcriptional, and post-transcriptional levels. In cotton, Virus-Induced Gene Silencing (VIGS) of Ca2+-related genes, namely GhECA1 and GhCNGC4, reduced the drought resistance of cotton, which was accompanied with a decrease in the enrichment of m6A on the silenced genes, leading to alterations in the Ca2+ content [64]. Hydrogen sulfide (H2S) is a novel gas signal molecule that can enhance plant drought resistance by inducing stomatal closure while simultaneously improving photosynthetic efficiency. Under drought stress, the fluxes of Cl, K+, and H+ in the guard cells of Chinese cabbage were detected using NMT. The results show that H2S signaling induced the transmembrane efflux of Cl and H+ while inhibiting K+ influx, indicating that Cl channels serve as the primary responders for H2S-mediated stomatal movement regulation [65]. This research underscores the critical roles of m6A modification and gas signal molecules such as H2S in plant drought response and provides insights into potential drought-tolerant strategies for crop improvement. Integrated with NMT, elucidating the physiological dynamics and molecular regulatory networks underlying plant water stress responses will contribute to addressing the increasing normalization of agricultural drought under global climate change (Table 1).

3.4. Low- and High-Temperature Stress

Low temperature constitutes a pivotal environmental constraint that hinders plant growth and agricultural productivity [66,102]. Rice, being a low-temperature-sensitive crop, is restricted to specific climatic zones for cultivation. Research has demonstrated the significant role of calmodulin B-like interacting protein kinases (CIPKs) under low-temperature stress conditions. Specifically, a point mutation in OsCIPK7 in rice leads to a conformational alteration in the activation loop of its kinase domain, subsequently augmenting protein kinase activity and enhancing plant cold tolerance. Furthermore, NMT has elucidated the correlation between rice cold tolerance phenotypes and alterations in Ca2+ flux rates, indicating that enhanced cold tolerance in rice is associated with an augmented Ca2+ influx capacity [67]. Moreover, human selection for japonica rice varieties has facilitated their adaptation to low-temperature environments. The molecular basis of this adaptability is intimately linked to COLD1, a quantitative trait locus (QTL) associated with cold tolerance in japonica rice. The overexpression of COLD1jap markedly improves plant cold tolerance, whereas rice lines with COLD1jap deletions or downregulation exhibit increased sensitivity to low temperatures. NMT analysis of Ca2+ flux rates in rice roots under cold stress further validates that COLD1 interacts with G protein α, activates Ca2+ channels in response to low temperatures, accelerates G protein GTPase activity, and thereby enhances cold tolerance in japonica rice [8].
Additionally, OsCNGC9, a cyclic nucleotide-gated channel, augments cold tolerance in rice by modulating cold-induced Ca2+ influx and the subsequent elevation of cytosolic calcium levels, as detected using NMT [68]. Analogously, in cucumber, CsGPA1 interacts with CsCOR413PM2, a plasma membrane-localized protein. The inhibition of either CsGPA1 or CsCOR413PM2 results in decreased Ca2+ influx under low-temperature conditions, further suppressing the expression of CsICE and CsCBF. These findings provide a foundation for future investigations into the mechanism underlying cold tolerance mediated by the Gα subunit in cucumber [69]. In the Columbia ecotype of Arabidopsis thaliana, regardless of whether the plants are grown at 15 °C or 25 °C, the roots produce cells at the same rate and maintain consistent growth zone lengths. An analysis of whole-root oxygen consumption rates revealed that the meristematic zone exhibits steady-state Q10 values ranging between 0.7 and 2.1, whereas the elongation zone demonstrates higher Q10 values of 2.6 to 3.3, indicating that the metabolic cost of rapid cell elongation significantly exceeds that of cell division [70].
Heat stress constitutes a significant environmental challenge impacting crop growth and productivity [71,104]. The HTS1 gene encodes a β-ketoacyl carrier protein reductase (KAR) localized in the thylakoid membrane, participating in de novo fatty acid biosynthesis. In comparison with WT plants, hts1 mutants exhibit elevated heat-induced accumulation of H2O2, increased Ca2+ influx in mesophyll cells, and exacerbated membrane and chloroplast damage. This underscores the pivotal role of HTS1 in maintaining membrane stability, chloroplast integrity, and stress signaling, which are fundamental for heat tolerance in rice [72]. Lettuce thrives in cooler environments, and high temperatures adversely affect its yield and quality. According to NMT results, exogenous spermidine augments the concentrations of Ca2+, K+, Fe3+, Mn2+, Zn2+, and NO3 in lettuce leaves. It also facilitates K+ efflux, enhances Ca2+ influx, and diminishes the relative stomatal aperture under high-temperature stress. This suggests that exogenous spermidine mitigates lettuce damage induced by high-temperature stress by modulating the ion content and altering stomatal morphology [73].
The phenomenon of global warming poses a threat to crop production. A natural quantitative trait locus, designated as TT2 (THERMOTOLERANCE 2), encodes a Gγ subunit that confers heat tolerance to rice during both vegetative and reproductive growth stages without compromising yield. The disruption of TT2 leads to a heat-triggered reduction in Ca2+, which weakens the interaction between the transcription factor SCT1 (Sensing Ca2+ Transcription Factor 1) and calmodulin. This, in turn, influences heat tolerance and variations in the waxy content in rice [74]. Furthermore, long non-coding RNAs (lncRNAs) play a role in plant stress responses. Among the heat-responsive lncRNAs in Populus simonii, TCONS_00202587 binds to upstream sequences via its secondary structure, interfering with target gene transcription. Additionally, using NMT, TCONS_00260893 enhances Ca2+ influx following heat treatment by disrupting specific variants or isoforms of the target gene. These observations indicate that lncRNAs can regulate their target genes by functioning as potential RNA scaffolds or through RNA interference pathways [75]. Integrated with NMT, elucidating the physiological regulatory networks and molecular signaling pathways of extreme temperature stress responses in plants will contribute to addressing agricultural challenges posed by the increasing frequency of extreme high/low temperatures under global climate change (Table 1).

3.5. Nutrition Stress

Nitrogen (N) and phosphorus (P) constitute indispensable macronutrients for plant growth and development. In seedlings of the dwarfing rootstock “M9-T337”, N or P deficiency, when compared to conditions of adequate nutrient supply, suppressed aboveground growth. Additionally, such deficiencies augmented the partitioning of total N and P contents towards the root system [76]. Consequently, there was an increase in the total number of root tips, root length, root volume, and root surface area, accompanied by an elevation in the root-to-shoot ratio. Furthermore, both phosphorus deficiency and nitrogen deficiency hindered the influx of NO3 into the root system, with H+ pumping playing a pivotal role in the plant’s response to these deficiencies [76]. In wheat, NMT results reveal that low N stress promotes lateral root development and nitrogen assimilation by regulating plant hormone signaling (such as increasing IAA), enhancing H+-ATPase activity and H+ efflux to expand N uptake capacity. This adaptation elevates the activity of key enzymes (nitrate reductase, glutamine synthetase, and glutamate synthase), stimulates protein synthesis, and drives root growth under N-deficient conditions [77]. Modern semi-dwarf rice varieties, which are a hallmark of the “Green Revolution”, necessitate considerable quantities of N fertilizers to attain high yields. The interaction between strigolactones and gibberellins is advantageous in modulating the adaptation of rice root metabolism and development under low-N conditions, thereby ensuring the efficient absorption and translocation of available nitrogen. This synergistic effect facilitates the formulation of strategies aimed at enhancing nitrogen use efficiency in high-yielding crops [78].
Understanding the physiological processes underlying N assimilation sheds light on how boreal coniferous ecosystems develop adaptation strategies to their environmental conditions. The study revealed that white spruce roots exhibited the highest N uptake and proton efflux near the root tip, with both fluxes decreasing gradually at greater distances from the tip under treatment with 50 μM of N. In contrast, exposure to 1500 μM of N triggered significant ammonium (NH4+) efflux in certain root segments, highlighting differential physiological responses to varying nitrogen availability [79]. Moreover, ectomycorrhizal (EM) roots of lodgepole pine exhibited net NH4+ uptake, while nonmycorrhizal roots showed NH4+ efflux, with EM-associated seedlings displaying a higher N content in the roots and shoots, particularly when colonized by Laccaria bicolor. The study revealed EM fungi’s role in reducing futile NH4+ cycling and demonstrated lodgepole pine’s preference for NH4+ over NO3, with NH4+ uptake rates increasing under NH4+-starved conditions [80].
Iron (Fe) deficiency exerts a profound impact on the growth, development, fruit productivity, and overall quality of apples. In response to Fe deficiency stress, apple roots exhibit an adaptive mechanism by augmenting the secretion of H+, ultimately leading to soil acidification. The phosphorylation process, facilitated by the MAP kinase MxMPK6-2, exerts both direct and indirect regulatory effects on the activity of the plasma membrane H+-ATPase MxHA2. This regulation occurs at both the post-translational and transcriptional levels, thereby synergistically intensifying H+ secretion and enhancing root acidification in apple rootstocks subjected to Fe deficiency stress [29]. Additionally, under Fe deficiency conditions in the apple rootstock Malus xiaojinensis, the induced kinase MxMPK4-1 demonstrates a synergistic interaction with the IQ motif-containing protein 3 (MxIQM3). This interaction forms a functional complex that actively modulates the activity of the plasma membrane H+-ATPase during the Fe deficiency response [81]. Aquaporins are indispensable transmembrane proteins responsible for the transport of water and several neutral solutes. In cassava, the targeted knockdown of the aquaporin gene MePIP2;7 results in magnesium (Mg) deficiency in basal mature leaves, manifested by yellowing and necrotic spots at the leaf edges, accompanied by excessive starch accumulation. Protein interaction studies have elucidated that MePIP2;7 is implicated in Mg2+ absorption and transport through its interaction with the low-affinity Mg2+ transporter MeMGT9 [105]. Along with NMT, deciphering the physiological and molecular response mechanisms to plant nutrient stress provides solutions for soil nutrient imbalance or deficiency in agroecosystems (Table 1).

3.6. Ammonium Toxicity and Acid Stress

N is an essential macronutrient for plant growth, with NH4+ and NO3 serving as the primary inorganic N sources utilized by plants. However, when NH4+ becomes the dominant nitrogen source, plants exhibit severe toxicity symptoms. For instance, the inhibition of root growth is one of the hallmark manifestations of NH4+ toxicity in plants [106,107]. High NH4+ levels impair wheat culm strength, vascular bundle integrity, nitrogen remobilization, and grain filling by competitively inhibiting K+ uptake, but supplemental K+ alleviates these effects by restoring transmembrane K+ influx and tissue K+ contents. This study links NH4+ toxicity in wheat to disrupted cation balance, demonstrating K+ supplementation as a mitigation strategy for maintaining structural and physiological functions under excessive NH4+ [82].
The nitrate transporter NRT1.1 is involved in mediating the effects of NH4+ toxicity. In Arabidopsis, nitrate transporter NRT1.1 exacerbates NH4+ toxicity by enhancing NH4+ uptake (potentially measurable via NMT) and disrupting assimilation, leading to ethylene-driven senescence, while NRT1.1 mutants mitigate toxicity through improved NH4+ metabolism and reduced accumulation [83]. Moreover, the nitrate transporter NRT1.1 interacts with the nitrate efflux channel SLAH3 to form a functional unit, which alleviates NH4+ toxicity by coordinating NO3 transport and balancing rhizosphere pH via H+ uptake regulation, as demonstrated using NMT to monitor H+ flux under high-NH4+/low-NO3 conditions [84]. Along with NMT, clarifying the physiological and molecular mechanisms of NH4+ toxicity in plants can help address the excessive accumulation of NH4+ in agricultural soils (Table 1).
H+ in acidic soil can hinder plant growth [108]. However, the mechanism by which plants optimize their biological processes to reduce the adverse effects of H+ stress still needs further exploration. Tea (Camellia sinensis) plants grow in acidic soil, and NMT revealed that Fe-sufficient conditions enhanced acidic stress tolerance in tea plants by promoting Fe plaque formation on the roots, which increased plasma membrane H+-ATPase activity and H+ efflux at pH 4.0–5.0, ultimately improving N accumulation compared to pH 6.0 conditions. The findings demonstrate that Fe plaque-mediated H+-ATPase activation, quantified through NMT measurements of proton flux, is a key mechanism underlying tea plant adaptation to acidic environments [85]. In Arabidopsis thaliana, the transcription factor STOP1 enhances low pH tolerance by directly activating NRT1.1 expression, which increases nitrate uptake to improve N use efficiency and reduces rhizospheric H+ levels, thereby promoting root growth in acidic soils. The STOP1-NRT1.1 module optimizes plant adaptation to acidic stress by coordinating nitrate transport and H+ homeostasis [86].
Climate change brings alternating patterns of severe drought and intense flooding events. These waterlogged conditions induce cytoplasmic acidification through oxygen deprivation in plant cells, ultimately inhibiting vital biological processes in plants. NMT and molecular biology experimental results demonstrate that Arabidopsis S-type anion channel AtSLAH3 directly senses cytosolic acidosis via the protonation of histidine residues, triggering structural activation and anion efflux to mediate flood stress tolerance, with wild-type plants outperforming slah3 mutants under flooding conditions [87]. Aluminum (Al), a common element in the Earth’s crust, negatively impacts vegetation in acidic soils by impairing root system expansion and hindering normal plant growth processes [109]. Soil acidification in apple orchards leads to the release of root-toxic Al3+ into the soil. Melatonin can alleviate Al toxicity in apple roots by activating the MdSTOP1-MdNAC2 transcriptional complex, which upregulates MdALS3 and MdNHX2 to enhance vacuolar H+/Al3+ exchange and H+ homeostasis, with NMT confirming the ion flux dynamics critical for Al stress mitigation [88]. Interestingly, an appropriate Mg supply can alleviate the toxic effects of high-concentration Al on poplar root growth. Al toxicity inhibits polar auxin transport and distribution in the root transition zone, but Mg supplementation partially mitigates this effect. Further analysis using NMT on the auxin transporter mutant pin-formed2 (pin2) revealed that Mg alleviates Al toxicity by regulating root surface alkalinization in the transition zone through PIN2-mediated polar auxin transport [89]. Along with NMT, resolving the physiological dynamics and molecular regulatory networks of plant acid stress responses provides theoretical foundations for addressing crop growth inhibition, root developmental disorders, and nutrient imbalance caused by H+ toxicity in acidic soils (Table 1).

3.7. Heavy Metal Toxicity

Heavy metals constitute a significant category of environmental contaminants [90]. Upon exposure to heavy metals, plants undergo alterations in morphogenesis, cell membrane permeability, photosynthesis, respiratory metabolism, enzymatic processes, and genetic impacts. When the concentration of heavy metals surpasses the threshold tolerance level of plants, it induces toxicity, disrupts metabolic processes, and inhibits plant growth [110]. Cadmium (Cd) is a particularly prominent pollutant in agricultural land, which not only severely restricts crop production but also poses a grave risk to human health through bioaccumulation in the food chain [2]. The investigation revealed that female Populus cathayensis exhibited heightened Cd absorption and translocation from roots to aboveground parts, whereas male Populus cathayensis demonstrated substantial Cd accumulation in roots, enhanced antioxidant capacity, and the effective sequestration of Cd within cells and bark. Furthermore, NMT was employed to monitor the Cd absorption rate in Populus cathayensis roots. The results indicate that the net Cd2+ influx in female Populus cathayensis was greater than that in male individuals, suggesting that male Populus cathayensis possesses higher Cd tolerance, thereby offering novel insights into the potential mechanisms underlying gender-specific responses to Cd stress [91]. NMT and biochemical experimental results confirm that in Populus euphratica, calcium-dependent protein kinase 21 (PeCPK21) interacts with the Arabidopsis nuclear transcription factor YC3 (AtNF-YC3) to reduce Cd accumulation and enhance the ROS scavenging system, thereby positively regulating the plant’s adaptive capacity to Cd-contaminated environments [92].
Eichhornia crassipes is an effective ecological remediation plant that can alleviate Cd stress. Under prolonged Cd stress treatment, NMT was employed to measure the transport rates of O2 and H2O2 in the roots and leaves of Eichhornia crassipes under stress induced by treatment with 4 mg L−1 CdCl2. The results show that, compared to the control, the Cd treatment significantly inhibited the O2 uptake rates in both the roots and leaves, markedly enhanced H2O2 efflux in the roots, and suppressed H2O2 efflux in the leaves. This indicates that Cd stress suppresses cellular respiration in the roots and leaves and disrupts ROS homeostasis in Eichhornia crassipes [93]. Additionally, NMT was utilized to measure the Cd2+ flux rate on the root surface of Chinese cabbage, revealing that hemin treatment reduced Cd accumulation in Chinese cabbage seedlings by decreasing plant Cd absorption rather than by influencing Cd translocation within the plant [94]. Analogously, NMT provided direct evidence that silicon (Si) treatment can enhance Cd tolerance in marine diatoms and maintain their metal homeostasis [95]. In barley, chloride (Cl) enhances Cd mobility and phytotoxicity by increasing Cd2+ uptake and disrupting ion homeostasis in roots, with Cd-sensitive genotypes exhibiting higher Cl-mediated Cd accumulation and photosynthetic impairment. The findings underscore the critical role of soil Cl in Cd toxicity and propose breeding low-Cl-uptake barley varieties to mitigate Cd contamination risks, supporting safer agricultural production for global food and beverage industries [96]. Regarding stress mitigation analysis, NMT revealed that overexpression of PeANN1 (an annexin encoding gene facilitating Cd enrichment) enhances Cd2+ accumulation in transgenic Arabidopsis, and it can serve as a candidate gene for phytoremediation to alleviate cadmium stress [97]. In apple rootstocks, the NMT and plant physiology experiment results showed that exogenous melatonin reduces Cd accumulation in the aboveground parts of apple plants and alleviates Cd toxicity. This effect is likely attributed to melatonin-mediated compartmentalization of Cd within tissues, as well as its induction of the antioxidant defense system and upregulation of key genes involved in detoxification-related transcriptional regulation [98]. When integrated with NMT, analyzing ion transport dynamics and the detoxification of regulatory pathways under heavy metal stress addresses escalating ecological risks from soil contamination in mining/agricultural areas (Table 1).

4. Conclusions and Prospects

The application of NMT in plant stress physiology has reached substantial maturity, providing a comprehensive platform for ion/molecule flux analysis that significantly advances our understanding of plant stress resistance mechanisms. NMT should be used to study major abiotic stress types (e.g., water stress, salt stress, alkali stress, extreme temperature stress, ammonium toxicity, acid stress, heavy metal toxicity, and nutrient imbalance) to monitor real-time dynamic fluxes (influx and efflux) of different ions (e.g., Na+, K+, Cd2+, and Ca2+) within specific plant cells and tissues (e.g., guard cell, mesophyll cell, and root tip). This non-invasive approach with high sensitivity and spatial resolution enables the elucidation of plant stress defense mechanisms and provides deeper insights into plant adaptation strategies and stress signaling pathways (Figure 2).
Abiotic stress effects are dynamic and influenced by factors such as plant age, genotype, stress duration, and application methods. NMT addresses this challenge through several technical advantages. Its non-invasive nature allows for repeated measurements on the same sample over extended periods without causing tissue damage. The system incorporates environmental control chambers that maintain stable measurement conditions (humidity, temperature, and CO2) during prolonged experiments. For genotype/age comparisons, we recommend using standardized protocols including synchronized plant growth stages, controlled stress application gradients, and multiple biological replicates. Furthermore, regarding stress mitigation analysis, NMT can quantitatively evaluate the efficacy of mitigation strategies (e.g., osmoprotectants) by comparing pre-/post-treatment ion flux patterns. NMT detects early recovery signatures (e.g., K+ flux restoration in roots post-drought) before visible phenotypic recovery occurs. And spatial resolution enables a localized analysis of mitigation effects, such as differentiated responses in root apical and mature zones.
However, some critical challenges persist in optimizing this technology, such as hypersaline soils (inducing signal noise from competing ions like Na+/Cl), severe heavy metal contamination (e.g., Cd2+ saturation overwhelming sensor resolution), and temperature extremes (altering membrane integrity and flux kinetics). For instance, in acidic soils, H+ efflux measurements may conflate abiotic proton gradients with biologically regulated fluxes, while freezing conditions disrupt microelectrode stability. These limitations risk overlooking transient but biologically significant signaling events during stress adaptation. Moreover, the reliability of NMT data hinges on rigorous sample preparation and environmental control, as subtle discrepancies in these steps can profoundly affect reproducibility. For example, sample preparation variability, including root hair density differences and microelectrode positioning accuracy, could induce flux measurement deviations. The inconsistent growth medium composition (e.g., Ca2+ or chelator concentrations) could unpredictably modify ion availability and membrane potential dynamics, complicating data analysis. Environmental control parameters, such as temperature fluctuations and solution convection artifacts, may cause error interference in the measurement and analysis of NMT data.
Looking forward, some strategic developments are promising in transforming NMT applications. Its integration with multi-omics platforms could enable unprecedented mechanistic insights, for instance, correlating Ca2+ flux dynamics with stress-responsive gene clusters (e.g., SOS pathway genes, auxin transport, and response factors) identified through single-cell RNA sequencing or validating ABA-mediated stomatal regulation through parallel proteomic profiling of guard cell H+-ATPases. Artificial intelligence implementation may show promise in two operational domains: machine vision algorithms could automate microelectrode navigation with submicron precision, and deep learning models trained on historical flux datasets may predict stress response thresholds, effectively reducing human interpretation bias.
In conclusion, NMT possesses considerable potential to occupy a central position in agricultural breeding endeavors and ecological environment preservation. It can provide scientific underpinnings for the cultivation of stress-tolerant crops, the enhancement of ecological conditions, and the attainment of sustainable development objectives.

Author Contributions

Conceptualization, T.Z. and R.X.; writing—original draft preparation, T.Z. and P.Y.; writing—review and editing, X.Y. and Y.L.; funding acquisition, R.X., T.Z. and P.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was financially supported by the National Natural Science Foundation of China (Grant No. 32372643), the General Program of Shandong Natural Science Foundation (Grant No. ZR2022MC064), and the Doctoral Startup Foundation of Weifang University (Grant No. 2023BS15 and 2024BS21) in China.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Zhu, J.K. Abiotic stress signaling and responses in plants. Cell 2016, 167, 313–324. [Google Scholar] [CrossRef] [PubMed]
  2. Gong, Z.; Xiong, L.; Shi, H.; Yang, S.; Herrera-Estrella, L.R.; Xu, G.; Chao, D.Y.; Li, J.; Wang, P.Y.; Qin, F.; et al. Plant abiotic stress response and nutrient use efficiency. Sci. China Life Sci. 2020, 63, 635–674. [Google Scholar] [CrossRef] [PubMed]
  3. Moustakas, M. Molecular mechanisms of plant abiotic stress tolerance. Int. J. Mol. Sci. 2025, 26, 2731. [Google Scholar] [CrossRef] [PubMed]
  4. Waadt, R.; Seller, C.A.; Hsu, P.K.; Takahashi, Y.; Munemasa, S.; Schroeder, J.I. Plant hormone regulation of abiotic stress responses. Nat. Rev. Mol. Cell Biol. 2022, 23, 680–694. [Google Scholar] [CrossRef]
  5. Zhang, H.; Zhu, J.; Gong, Z.; Zhu, J.K. Abiotic stress responses in plants. Nat. Rev. Genet. 2022, 23, 104–119. [Google Scholar] [CrossRef]
  6. Salehin, M. Emerging roles of auxin in plant abiotic stress tolerance. Physiol. Plant. 2024, 176, e14601. [Google Scholar] [CrossRef]
  7. Michard, E.; Lima, P.T.; Borges, F.; Silva, A.C.; Portes, M.T.; Carvalho, J.E.; Gilliham, M.; Liu, L.H.; Obermeyer, G.; Feijó, J.A. Glutamate receptor-like genes form Ca2+ channels in pollen tubes and are regulated by pistil D-serine. Science 2011, 332, 434–437. [Google Scholar] [CrossRef]
  8. Ma, Y.; Dai, X.; Xu, Y.; Luo, W.; Zheng, X.; Zeng, D.; Pan, Y.; Lin, X.; Liu, H.; Zhang, D.; et al. COLD1 confers chilling tolerance in rice. Cell 2015, 160, 1209–1221. [Google Scholar] [CrossRef]
  9. Li, L.; Verstraeten, I.; Roosjen, M.; Takahashi, K.; Rodriguez, L.; Merrin, J.; Chen, J.; Shabala, L.; Smet, W.; Ren, H.; et al. Cell surface and intracellular auxin signalling for H+ fluxes in root growth. Nature 2021, 599, 273–277. [Google Scholar] [CrossRef]
  10. Liu, B.; Zhang, J.; Ye, N. Noninvasive micro-test technology: Monitoring ion and molecular flow in plants. Trends Plant Sci. 2023, 28, 123–124. [Google Scholar] [CrossRef]
  11. Thor, K.; Jiang, S.; Michard, E.; George, J.; Scherzer, S.; Huang, S.; Dindas, J.; Derbyshire, P.; Leitão, N.; DeFalco, T.A.; et al. The calcium-permeable channel OSCA1.3 regulates plant stomatal immunity. Nature 2020, 585, 569–573. [Google Scholar] [CrossRef] [PubMed]
  12. Han, S.; Wang, Y.; Li, Y.; Zhu, R.; Gu, Y.; Li, J.; Guo, H.; Ye, W.; Nabi, H.G.; Yang, T.; et al. The OsNAC41-RoLe1-OsAGAP module promotes root development and drought resistance in upland rice. Mol. Plant 2024, 17, 1573–1593. [Google Scholar] [CrossRef] [PubMed]
  13. Luo, W.; Xu, Y.; Cao, J.; Guo, X.; Han, J.; Zhang, Y.; Niu, Y.; Zhang, M.; Wang, Y.; Liang, G.; et al. COLD6-OSM1 module senses chilling for cold tolerance via 2’,3’-cAMP signaling in rice. Mol. Cell 2024, 84, 4224–4238.e9. [Google Scholar] [CrossRef]
  14. Kunkel, J.G.; Cordeiro, S.; Xu, Y.; Shipley, A.M.; Feijo, J.A. The use of non-invasive ion-selective microelectrode techniques for the study of plant development. In Plant Electrophysiology-Theory and Methods; Volkov, A.G., Ed.; Springer: Berlin/Heidelberg, Germany, 2005; Chapter V; pp. 109–137. [Google Scholar] [CrossRef]
  15. Shabala, S. Non-invasive microelectrode ion flux measurements in plant stress physiology. In Plant Electrophysiology; Volkov, A.G., Ed.; Springer: Berlin/Heidelberg, Germany, 2006; Chapter III; pp. 35–71. [Google Scholar] [CrossRef]
  16. Newman, I.A.; Kochian, L.V.; Grusak, M.A.; Lucas, W.J. Fluxes of H+ and K+ in corn roots: Characterization and stoichiometries using ion-selective microelectrodes. Plant Physiol. 1987, 84, 1177–1184. [Google Scholar] [CrossRef]
  17. Kühtreiber, W.M.; Jaffe, L.F. Detection of extracellular calcium gradients with a calcium-specific vibrating electrode. J. Cell Biol. 1990, 110, 1565–1573. [Google Scholar] [CrossRef]
  18. Jaffe, L.F. Fast calcium waves. Cell Calcium 2010, 48, 102–113. [Google Scholar] [CrossRef]
  19. Smith, P.J. Non-invasive ion probes-tools for measuring transmembrane ion flux. Nature 1995, 378, 645–646. [Google Scholar] [CrossRef]
  20. ISO 9001:2015; Quality Management Systems–Requirements. International Organization for Standardization: Geneva, Switzerland, 2015.
  21. Sun, K.; Liu, Y.; Pan, Y.; Di, D.; Li, J.; Xu, F.; Li, L.; Mimata, Y.; Chen, Y.; Xie, L.; et al. Non-invasive micro-test technology and applications. Biophys. Rep. 2025, 11, 96–111. [Google Scholar] [CrossRef]
  22. Han, M.; Yang, H.; Yu, G.; Jiang, P.; You, S.; Zhang, L.; Lin, H.; Liu, J.; Shu, Y. Application of Non-invasive Micro-test Technology (NMT) in environmental fields: A comprehensive review. Ecotoxicol. Environ. Saf. 2022, 240, 113706. [Google Scholar] [CrossRef]
  23. Jiang, W.; You, S.; Shi, Y.; Jiang, P.; Chen, M.; Yang, X. Application progress of Non-invasive Micro-test Technology in environmental bioremediation and stress physiology research. J. Plant Interact. 2023, 18, 2268131. [Google Scholar] [CrossRef]
  24. Li, L.Z.; Yu, S.Y.; Peijnenburg, W.J.G.M.; Luo, Y.M. Determining the fluxes of ions (Pb2+, Cu2+ and Cd2+) at the root surface of wetland plants using the scanning ion-selective electrode technique. Plant Soil 2017, 414, 1–12. [Google Scholar] [CrossRef]
  25. Xu, Y.; Sun, T.; Yin, L.P. Application of non-invasive microsensing system to simultaneously measure both H+ and O2 fluxes around the pollen tube. J. Integr. Plant Biol. 2006, 48, 823–831. [Google Scholar] [CrossRef]
  26. Tang, X.; Zhang, H.; Shabala, S.; Li, H.; Yang, X.; Zhang, H. Tissue tolerance mechanisms conferring salinity tolerance in a halophytic perennial species Nitraria sibirica Pall. Tree Physiol. 2021, 41, 1264–1277. [Google Scholar] [CrossRef] [PubMed]
  27. Huang, Z.; Yao, L.; Li, B.; Ma, X.; Si, E.; Yang, K.; Zhang, H.; Meng, Y.; Wang, J.; Wang, H. HgS2, a novel salt-responsive gene from the Halophyte Halogeton glomeratus, confers salt tolerance in transgenic Arabidopsis. Physiol. Plant. 2024, 176, e14356. [Google Scholar] [CrossRef]
  28. Stéger, A.; Hayashi, M.; Lauritzen, E.W.; Herburger, K.; Shabala, L.; Wang, C.; Bendtsen, A.K.; Nørrevang, A.F.; Madriz-Ordeñana, K.; Ren, S.; et al. The evolution of plant proton pump regulation via the R domain may have facilitated plant terrestrialization. Commun. Biol. 2022, 5, 1312. [Google Scholar] [CrossRef]
  29. Sun, Q.; Zhao, D.; Gao, M.; Wu, Y.; Zhai, L.; Sun, S.; Wu, T.; Zhang, X.; Xu, X.; Han, Z.; et al. MxMPK6-2-mediated phosphorylation enhances the response of apple rootstocks to Fe deficiency by activating PM H+-ATPase MxHA2. Plant J. 2023, 116, 69–86. [Google Scholar] [CrossRef]
  30. Newman, I.A. Ion transport in roots: Measurement of fluxes using ion-selective microelectrodes to characterize transporter function. Plant Cell Environ. 2001, 24, 1–14. [Google Scholar] [CrossRef]
  31. Jing, H.; Wilkinson, E.G.; Sageman-Furnas, K.; Strader, L.C. Auxin and abiotic stress responses. J. Exp. Bot. 2023, 74, 7000–7014. [Google Scholar] [CrossRef]
  32. Xu, H.; Chen, H.; Halford, N.G.; Xu, R.; He, T.; Yang, B.; Zhou, L.; Guo, H.; Liu, C. Ion homeostasis and coordinated salt tolerance mechanisms in a barley (Hordeum vulgare L.) doubled haploid line. BMC Plant Biol. 2025, 25, 52. [Google Scholar] [CrossRef]
  33. Kou, Y.; Su, B.; Yang, S.; Gong, W.; Zhang, X.; Shan, X. Phosphorylation of Arabidopsis NRT1.1 regulates plant stomatal aperture and drought resistance in low nitrate condition. BMC Plant Biol. 2025, 25, 95. [Google Scholar] [CrossRef]
  34. Yu, Z.; Duan, X.; Luo, L.; Dai, S.; Ding, Z.; Xia, G. How plant hormones mediate salt stress responses. Trends Plant Sci. 2020, 25, 1117–1130. [Google Scholar] [CrossRef] [PubMed]
  35. Zhao, S.; Zhang, Q.; Liu, M.; Zhou, H.; Ma, C.; Wang, P. Regulation of plant responses to salt stress. Int. J. Mol. Sci. 2021, 22, 4609. [Google Scholar] [CrossRef] [PubMed]
  36. Zeng, P.; Xie, T.; Shen, J.; Liang, T.; Yin, L.; Liu, K.; He, Y.; Chen, M.; Tang, H.; Chen, S.; et al. Potassium transporter OsHAK9 regulates seed germination under salt stress by preventing gibberellin degradation through mediating OsGA2ox7 in rice. J. Integr. Plant Biol. 2024, 66, 731–748. [Google Scholar] [CrossRef]
  37. Bazihizina, N.; Vita, F.; Balestrini, R.; Kiferle, C.; Caparrotta, S.; Ghignone, S.; Atzori, G.; Mancuso, S.; Shabala, S. Early signalling processes in roots play a crucial role in the differential salt tolerance in contrasting Chenopodium quinoa accessions. J. Exp. Bot. 2022, 73, 292–306. [Google Scholar] [CrossRef]
  38. Tanveer, M.; Wang, L.; Huang, L.; Zhou, M.; Chen, Z.H.; Shabala, S. Understanding mechanisms for differential salinity tissue tolerance between quinoa and spinach: Zooming on ros-inducible ion channels. Crop J. 2024, 12, 1357–1368. [Google Scholar] [CrossRef]
  39. Rasouli, F.; Yun, P.; Kiani-Pouya, A.; Movahedi, A.; Rasouli, M.; Salehi, M.; Shabala, S. One size does not fit all: Different strategies employed by triticale and barley plants to deal with soil salinity. Environ. Exp. Bot. 2024, 218, 105585. [Google Scholar] [CrossRef]
  40. Wei, S.; Chen, M.; Wang, F.; Tu, Y.; Xu, Y.; Fu, L.; Zeng, F.; Zhang, G.; Wu, D.; Shen, Q. OsCaM1-1 is responsible for salt tolerance by regulating Na+/K+ homoeostasis in rice. Plant Cell Environ. 2025, 48, 1393–1408. [Google Scholar] [CrossRef]
  41. Lou, L.; Yu, F.; Tian, M.; Liu, G.; Wu, Y.; Wu, Y.; Xia, R.; Pardo, J.M.; Guo, Y.; Xie, Q. ESCRT-I component VPS23A sustains salt tolerance by strengthening the SOS module in Arabidopsis. Mol. Plant 2020, 13, 1134–1148. [Google Scholar] [CrossRef]
  42. Yang, Z.; Wang, C.; Xue, Y.; Liu, X.; Chen, S.; Song, C.; Yang, Y.; Guo, Y. Calcium-activated 14-3-3 proteins as a molecular switch in salt stress tolerance. Nat. Commun. 2019, 10, 1199. [Google Scholar] [CrossRef]
  43. Zhang, Y.; Yin, K.; Yao, J.; Zhao, Z.; Liu, Z.; Yan, C.; Zhang, Y.; Liu, J.; Li, J.; Zhao, N.; et al. Populus euphratica GLABRA3 binds PLDδ promoters to enhance salt tolerance. Int. J. Mol. Sci. 2023, 24, 8208. [Google Scholar] [CrossRef]
  44. Li, J.; Zhao, R.; Liu, J.; Yao, J.; Ma, S.; Yin, K.; Zhang, Y.; Liu, Z.; Yan, C.; Zhao, N.; et al. Populus euphratica GRP2 interacts with target mRNAs to negatively regulate salt tolerance by interfering with photosynthesis, Na+, and ROS homeostasis. Int. J. Mol. Sci. 2024, 25, 2046. [Google Scholar] [CrossRef] [PubMed]
  45. Zhu, Z.; Liu, X.; Meng, F.; Jiang, A.; Zhou, Y.; Yuan, F.; Chen, M. LbHKT1;1 negatively regulates salt tolerance of Limonium bicolor by decreasing salt secretion rate of salt glands. Plant Cell Environ. 2025, 48, 3544–3558. [Google Scholar] [CrossRef] [PubMed]
  46. Gao, Z.; Gao, S.; Li, P.; Zhang, Y.; Ma, B.; Wang, Y. Exogenous methyl jasmonate promotes salt stress-induced growth inhibition and prioritizes defense response of Nitraria tangutorum Bobr. Physiol. Plant. 2021, 172, 162–175. [Google Scholar] [CrossRef]
  47. Dong, X.; Sun, L.; Guo, J.; Liu, L.; Wang, B. Exogenous boron alleviates growth inhibition by NaCl stress by reducing Cl uptake in sugar beet (Beta vulgaris). Plant Soil 2021, 464, 423–439. [Google Scholar] [CrossRef]
  48. Qu, M.; Havshøi, N.W.; Huang, X.; Shabala, L.; Yu, M.; Fuglsang, A.T.; Shabala, S. Understanding the mechanistic basis of ameliorative effects of boron on salinity in barley (Hordeum vulgare). Environ. Exp. Bot. 2024, 220, 105690. [Google Scholar] [CrossRef]
  49. Huang, H.; Zhuang, L.; Tang, H.; Guo, Z.; Li, Q.; Lin, Z.; Dai, M.; Wang, X.; Wang, Y.; Zheng, H.; et al. Biosynthesis-based spatial metabolome of condensed tannin reveals its role in salt tolerance of non-salt-secretor mangrove Kandelia obovata. Plant Cell Environ. 2025, 48, 1874–1889. [Google Scholar] [CrossRef]
  50. Wu, X.; Li, J.; Song, L.Y.; Zeng, L.L.; Guo, Z., J.; Ma, D.N.; Wei, M.Y.; Zhang, L.D.; Wang, X.X.; Zheng, H.L. NADPH oxidase-dependent H2O2 production mediates salicylic acid-induced salt tolerance in mangrove plant Kandelia obovata by regulating Na+/K+ and redox homeostasis. Plant J. 2024, 118, 1119–1135. [Google Scholar] [CrossRef]
  51. Zeng, L.L.; Song, L.Y.; Wu, X.; Ma, D.N.; Song, S.W.; Wang, X.X.; Zheng, H.L. Brassinosteroid enhances salt tolerance via S-nitrosoglutathione reductase and nitric oxide signaling pathway in mangrove Kandelia obovata. Plant Cell Environ. 2024, 47, 511–526. [Google Scholar] [CrossRef]
  52. Cao, Y.; Zhang, M.; Liang, X.; Li, F.; Shi, Y.; Yang, X.; Jiang, C. Natural variation of an EF-hand Ca2+-binding-protein coding gene confers saline-alkaline tolerance in maize. Nat. Commun. 2020, 11, 186. [Google Scholar] [CrossRef]
  53. Xie, Q.; Yang, Y.; Wang, Y.; Pan, C.; Hong, S.; Wu, Z.; Song, J.; Zhou, Y.; Jiang, X. The calcium sensor CBL10 negatively regulates plasma membrane H+-ATPase activity and alkaline stress response in Arabidopsis. Environ. Exp. Bot. 2022, 194, 104752. [Google Scholar] [CrossRef]
  54. Cui, M.; Li, Y.; Li, J.; Yin, F.; Chen, X.; Qin, L.; Wei, L.; Xia, G.; Liu, S. Ca2+-dependent TaCCD1 cooperates with TaSAUR215 to enhance plasma membrane H+-ATPase activity and alkali stress tolerance by inhibiting PP2C-mediated dephosphorylation of TaHA2 in wheat. Mol. Plant 2023, 16, 571–587. [Google Scholar] [CrossRef] [PubMed]
  55. Xia, T.; Zhan, Y.; Mu, Y.; Zhang, J.; Xu, W. MNSs-mediated N-glycan processing is essential for auxin homeostasis in Arabidopsis roots during alkaline response. iScience 2022, 25, 104298. [Google Scholar] [CrossRef] [PubMed]
  56. Cao, X.; Sun, L.; Wang, W.; Zhang, F. Exogenous calcium application mediates K+ and Na+ homeostasis of different salt-tolerant rapeseed varieties under NaHCO3 stress. Plant Growth Regul. 2024, 102, 367–378. [Google Scholar] [CrossRef]
  57. Xu, W.; Jia, L.; Shi, W.; Liang, J.; Zhou, F.; Li, Q.; Zhang, J. Abscisic acid accumulation modulates auxin transport in the root tip to enhance proton secretion for maintaining root growth under moderate water stress. New Phytol. 2013, 197, 139–150. [Google Scholar] [CrossRef]
  58. Mak, M.; Babla, M.; Xu, S.C.; O’Carrigan, A.; Liu, X.H.; Gong, Y.M.; Holford, P.; Chen, Z.H. Leaf mesophyll K+, H+ and Ca2+ fluxes are involved in drought-induced decrease in photosynthesis and stomatal closure in soybean. Environ. Exp. Bot. 2014, 98, 1–12. [Google Scholar] [CrossRef]
  59. Feng, X.; Liu, W.; Qiu, C.W.; Zeng, F.; Wang, Y.; Zhang, G.; Chen, Z.H.; Wu, F. HvAKT2 and HvHAK1 confer drought tolerance in barley through enhanced leaf mesophyll H+ homoeostasis. Plant Biotechnol. J. 2020, 18, 1683–1696. [Google Scholar] [CrossRef]
  60. Zhang, X.; Wu, H.; Chen, J.; Chen, L.; Chang, N.; Ge, G.; Wang, X. Higher ROS scavenging ability and plasma membrane H+-ATPase activity are associated with potassium retention in drought tolerant tea plants. J. Plant Nutr. Soil Sci. 2020, 183, 406–415. [Google Scholar] [CrossRef]
  61. Sun, W.; Xia, L.; Deng, J.; Sun, S.; Yue, D.; You, J.; Wang, M.; Jin, S.; Zhu, L.; Lindsey, K.; et al. Evolution and subfunctionalization of CIPK6 homologous genes in regulating cotton drought resistance. Nat. Commun. 2024, 15, 5733. [Google Scholar] [CrossRef]
  62. Huang, X.; Shabala, L.; Zhang, X.; Zhou, M.; Voesenek, L.A.C.J.; Hartman, S.; Yu, M.; Shabala, S. Cation transporters in cell fate determination and plant adaptive responses to a low-oxygen environment. J. Exp. Bot. 2022, 73, 636–645. [Google Scholar] [CrossRef]
  63. Liu, C.Y.; Zhang, F.; Zhang, D.J.; Srivastava, A.K.; Wu, Q.S.; Zou, Y.N. Mycorrhiza stimulates root-hair growth and IAA synthesis and transport in trifoliate orange under drought stress. Sci. Rep. 2018, 8, 1978. [Google Scholar] [CrossRef]
  64. Li, B.; Zhang, M.; Sun, W.; Yue, D.; Ma, Y.; Zhang, B.; Duan, L.; Wang, M.; Lindsey, K.; Nie, X.; et al. N6-methyladenosine RNA modification regulates cotton drought response in a Ca2+ and ABA-dependent manner. Plant Biotechnol. J. 2023, 21, 1270–1285. [Google Scholar] [CrossRef] [PubMed]
  65. Zhang, W.; Wang, L.; Zhang, L.; Kong, X.; Zhang, J.; Wang, X.; Pei, Y.; Jin, Z. H2S-mediated balance regulation of stomatal and non-stomatal factors responding to drought stress in Chinese cabbage. Hortic. Res. 2022, 10, uhac284. [Google Scholar] [CrossRef] [PubMed]
  66. Chang, J.; Guo, Y.; Li, J.; Liu, L.; Liu, J.; Yuan, L.; Wei, C.; Ma, J.; Zhang, Y.; Ahammed, G.J.; et al. Cyclic nucleotide-gated ion channel 20 regulates melatonin-induced calcium signaling and cold tolerance in watermelon. Plant Physiol. 2024, 26, kiae630. [Google Scholar] [CrossRef]
  67. Zhang, D.; Guo, X.; Xu, Y.; Li, H.; Ma, L.; Yao, X.; Weng, Y.; Guo, Y.; Liu, C.M.; Chong, K. OsCIPK7 point-mutation leads to conformation and kinase-activity change for sensing cold response. J. Integr. Plant Biol. 2019, 61, 1194–1200. [Google Scholar] [CrossRef]
  68. Wang, J.; Ren, Y.; Liu, X.; Luo, S.; Zhang, X.; Liu, X.; Lin, Q.; Zhu, S.; Wan, H.; Yang, Y.; et al. Transcriptional activation and phosphorylation of OsCNGC9 confer enhanced chilling tolerance in rice. Mol. Plant 2021, 14, 315–329. [Google Scholar] [CrossRef]
  69. Yan, Y.; Sun, M.; Ma, S.; Feng, Q.; Wang, Y.; Di, Q.; Zhou, M.; He, C.; Li, Y.; Gao, L.; et al. Mechanism of CsGPA1 in regulating cold tolerance of cucumber. Hortic. Res. 2022, 9, uhac109. [Google Scholar] [CrossRef]
  70. Zimmermann, M.J.; Bose, J.; Kramer, E.M.; Atkin, O.K.; Tyerman, S.D.; Baskin, T.I. Oxygen uptake rates have contrasting responses to temperature in the root meristem and elongation zone. Physiol. Plant. 2022, 174, e13682. [Google Scholar] [CrossRef]
  71. Guo, Z.; Zuo, Y.; Wang, S.; Zhang, X.; Wang, Z.; Liu, Y.; Shen, Y. Early signaling enhance heat tolerance in Arabidopsis through modulating jasmonic acid synthesis mediated by HSFA2. Int. J. Biol. Macromol. 2024, 267, 131256. [Google Scholar] [CrossRef]
  72. Chen, F.; Dong, G.; Wang, F.; Shi, Y.; Zhu, J.; Zhang, Y.; Ruan, B.; Wu, Y.; Feng, X.; Zhao, C.; et al. A β-ketoacyl carrier protein reductase confers heat tolerance via the regulation of fatty acid biosynthesis and stress signaling in rice. New Phytol. 2021, 232, 655–672. [Google Scholar] [CrossRef]
  73. Huang, H.; Han, Y.; Hao, C.F.S. Exogenous spermidine modulates osmoregulatory substances and leaf stomata to alleviate the damage to lettuce seedlings caused by high temperature stress. J. Plant Growth Regul. 2023, 42, 1236–1255. [Google Scholar] [CrossRef]
  74. Kan, Y.; Mu, X.R.; Zhang, H.; Gao, J.; Shan, J.X.; Ye, W.W.; Lin, H.X. TT2 controls rice thermotolerance through SCT1-dependent alteration of wax biosynthesis. Nat. Plants 2022, 8, 53–67. [Google Scholar] [CrossRef] [PubMed]
  75. Song, Y.; Chen, P.; Liu, P.; Bu, C.; Zhang, D. High-temperature-responsive poplar lncRNAs modulate target gene expression via RNA interference and act as RNA scaffolds to enhance heat tolerance. Int. J. Mol. Sci. 2020, 21, 6808. [Google Scholar] [CrossRef] [PubMed]
  76. Xie, B.; Chen, Y.; Zhang, Y.; An, X.; Li, X.; Yang, A.; Kang, G.; Zhou, J.; Cheng, C. Comparative physiological, metabolomic, and transcriptomic analyses reveal mechanisms of apple dwarfing rootstock root morphogenesis under nitrogen and/or phosphorus deficient conditions. Front. Plant Sci. 2023, 14, 1120777. [Google Scholar] [CrossRef] [PubMed]
  77. Lv, X.; Zhang, Y.; Hu, L.; Zhang, Y.; Kong, L. Low-nitrogen stress stimulates lateral root initiation and nitrogen assimilation in wheat: Roles of phytohormone signaling. J. Plant Growth Regul. 2021, 40, 436–450. [Google Scholar] [CrossRef]
  78. Sun, H.; Guo, X.; Zhu, X.; Gu, P.; Zhang, W.; Tao, W.; Wang, D.; Wu, Y.; Zhao, Q.; Xu, G.; et al. Strigolactone and gibberellin signaling coordinately regulate metabolic adaptations to changes in nitrogen availability in rice. Mol. Plant 2023, 16, 588–598. [Google Scholar] [CrossRef]
  79. Alber, A.; Ehlting, B.; Ehlting, J.; Hawkins, B.J.; Rennenberg, H. Net NH4+ and NO3- flux, and expression of NH4+ and NO3- transporters in roots of Picea glauca. Trees 2012, 26, 1403–1411. [Google Scholar] [CrossRef]
  80. Hawkins, B.J.; Robbins, S. Comparison of ammonium, nitrate, and proton fluxes in mycorrhizal and nonmycorrhizal roots of lodgepole pine in contrasting nitrogen treatments. Can. J. For. Res. 2022, 52, 1245–1253. [Google Scholar] [CrossRef]
  81. Sun, Q.; Zhai, L.; Zhao, D.; Gao, M.; Wu, Y.; Wu, T.; Zhang, X.; Xu, X.; Han, Z.; Wang, Y. Kinase MxMPK4-1 and calmodulin-binding protein MxIQM3 enhance apple root acidification during Fe deficiency. Plant Physiol. 2023, 191, 1968–1984. [Google Scholar] [CrossRef]
  82. Kong, L.; Sun, M.; Wang, F.; Liu, J.; Feng, B.; Si, J.; Zhang, B.; Li, S.; Li, H. Effects of high NH4+ on K+ uptake, culm mechanical strength and grain filling in wheat. Front. Plant Sci. 2014, 5, 703. [Google Scholar] [CrossRef]
  83. Jian, S.; Liao, Q.; Song, H.; Liu, Q.; Lepo, J.E.; Guan, C.; Zhang, J.; Ismail, A.M.; Zhang, Z. NRT1.1-related NH4+ toxicity is associated with a disturbed balance between NH4+ uptake and assimilation. Plant Physiol. 2018, 178, 1473–1488. [Google Scholar] [CrossRef]
  84. Xiao, C.; Sun, D.; Liu, B.; Fang, X.; Li, P.; Jiang, Y.; He, M.; Li, J.; Luan, S.; He, K. Nitrate transporter NRT1.1 and anion channel SLAH3 form a functional unit to regulate nitrate-dependent alleviation of ammonium toxicity. J. Integr. Plant Biol. 2022, 64, 942–957. [Google Scholar] [CrossRef] [PubMed]
  85. Zhang, X.; Wu, H.; Chen, L.; Li, Y.; Wan, X. Efficient iron plaque formation on tea (Camellia sinensis) roots contributes to acidic stress tolerance. J. Integr. Plant Biol. 2019, 61, 155–167. [Google Scholar] [CrossRef] [PubMed]
  86. Ye, J.Y.; Tian, W.H.; Zhou, M.; Zhu, Q.Y.; Du, W.X.; Zhu, Y.X.; Liu, X.X.; Lin, X.Y.; Zheng, S.J.; Jin, C.W. STOP1 activates NRT1.1-mediated nitrate uptake to create a favorable rhizospheric pH for plant adaptation to acidity. Plant Cell 2021, 33, 3658–3674. [Google Scholar] [CrossRef]
  87. Lehmann, J.; Jørgensen, M.E.; Fratz, S.; Müller, H.M.; Kusch, J.; Scherzer, S.; Navarro-Retamal, C.; Mayer, D.; Böhm, J.; Konrad, K.R.; et al. Acidosis-induced activation of anion channel SLAH3 in the flooding-related stress response of Arabidopsis. Curr. Biol. 2021, 31, 3575–3585.e9. [Google Scholar] [CrossRef]
  88. Wang, C.; Bian, C.; Li, J.; Han, L.; Guo, D.; Wang, T.; Sun, Z.; Ma, C.; Liu, X.; Tian, Y.; et al. Melatonin promotes Al3+ compartmentalization via H+ transport and ion gradients in Malus hupehensis. Plant Physiol. 2023, 193, 821–839. [Google Scholar] [CrossRef]
  89. Zhang, Z.; Liu, D.; Meng, H.; Li, S.; Li, N. Magnesium alleviates aluminum toxicity by promoting polar auxin transport and distribution and root alkalization in the root apex in populus. Plant Soil 2020, 448, 565–585. [Google Scholar] [CrossRef]
  90. Lu, Z.; Yu, M.; Han, X.; Qiao, G.; Xu, J.; Wu, L.; Qiu, W.; Zhuo, R. SpbZIP60 confers cadmium tolerance by strengthening the root cell wall compartmentalization in Sedum plumbizincicola. J. Hazard. Mater. 2024, 480, 135936. [Google Scholar] [CrossRef]
  91. Liu, M.; Liu, X.; Kang, J.; Korpelainen, H.; Li, C. Are males and females of Populus cathayana differentially sensitive to Cd stress? J. Hazard. Mater. 2020, 393, 122411. [Google Scholar] [CrossRef]
  92. Yin, K.; Liu, Y.; Liu, Z.; Zhao, R.; Zhang, Y.; Yan, C.; Zhao, Z.; Feng, B.; Zhang, X.; An, K.; et al. Populus euphratica CPK21 interacts with NF-YC3 to enhance cadmium tolerance in Arabidopsis. Int. J. Mol. Sci. 2024, 25, 7214. [Google Scholar] [CrossRef]
  93. Liu, L.; Gui, H.; Zou, D.; Jiao, W.; Wang, S.; Wan, X. Long-term adaptation of water hyacinth to low cadmium involves antioxidant enzyme and metallothionein transcriptional regulation. Chemosphere 2024, 365, 143346. [Google Scholar] [CrossRef]
  94. Su, N.; Niu, M.; Liu, Z.; Wang, L.; Zhu, Z.; Zou, J.; Chen, Y.; Cui, J. Hemin-decreased cadmium uptake in pak choi (Brassica chinensis L.) seedlings is heme oxygenase-1 dependent and relies on its by-products ferrous iron and carbon monoxide. Environ. Pollut. 2021, 274, 115882. [Google Scholar] [CrossRef] [PubMed]
  95. Ma, J.; Zhou, B.; Tan, Q.; Zhang, L.; Pan, K. The roles of silicon in combating cadmium challenge in the Marine diatom Phaeodactylum tricornutum. J. Hazard. Mater. 2020, 389, 121903. [Google Scholar] [CrossRef] [PubMed]
  96. Mak, M.; Zhang, M.; Randall, D.; Holford, P.; Chen, Z.H. Chloride transport at plant-soil interface modulates barley cd tolerance. Plant Soil 2019, 441, 409. [Google Scholar] [CrossRef]
  97. Zhang, Y.; Sa, G.; Zhang, Y.; Hou, S.; Wu, X.; Zhao, N.; Zhang, Y.; Deng, S.; Deng, C.; Deng, J.; et al. Populus euphratica annexin1 facilitates cadmium enrichment in transgenic Arabidopsis. J. Hazard. Mater. 2021, 405, 124063. [Google Scholar] [CrossRef]
  98. He, J.; Zhuang, X.; Zhou, J.; Sun, L.; Wan, H.; Li, H.; Lyu, D. Exogenous melatonin alleviates cadmium uptake and toxicity in apple rootstocks. Tree Physiol. 2020, 40, 746–761. [Google Scholar] [CrossRef]
  99. Kuromori, T.; Fujita, M.; Takahashi, F.; Yamaguchi-Shinozaki, K.; Shinozaki, K. Inter-tissue and inter-organ signaling in drought stress response and phenotyping of drought tolerance. Plant J. 2022, 109, 342–358. [Google Scholar] [CrossRef]
  100. Liu, H.; Able, A.J.; Able, J.A. Priming crops for the future: Rewiring stress memory. Trends Plant Sci. 2022, 2, 699–716. [Google Scholar] [CrossRef]
  101. Gupta, A.; Rico-Medina, A.; Caño-Delgado, A.I. The physiology of plant responses to drought. Science 2020, 368, 266–269. [Google Scholar] [CrossRef]
  102. Kim, J.S.; Kidokoro, S.; Yamaguchi-Shinozaki, K.; Shinozaki, K. Regulatory networks in plant responses to drought and cold stress. Plant Physiol. 2024, 195, 170–189. [Google Scholar] [CrossRef]
  103. McLamore, E.S.; Diggs, A.; Calvo Marzal, P.; Shi, J.; Blakeslee, J.J.; Peer, W.A.; Murphy, A.S.; Porterfield, D.M. Non-invasive quantification of endogenous root auxin transport using an integrated flux microsensor technique. Plant J. 2010, 63, 1004–1016. [Google Scholar] [CrossRef]
  104. Zhang, X.; Zhang, X.; Fu, Y.; Cui, Y.; Wu, N.; Li, Y.; Yang, Z.; Zhang, C.; Song, H.; He, G.; et al. HTT1, a Stearoyl-Acyl Carrier Protein Desaturase involved unsaturated fatty acid biosynthesis, affects rice heat tolerance. Plant Cell Environ. 2025, 48, 3391–3405. [Google Scholar] [CrossRef] [PubMed]
  105. Ma, Q.; Feng, Y.; Luo, S.; Cheng, L.; Tong, W.; Lu, X.; Li, Y.; Zhang, P. The aquaporin MePIP2;7 improves MeMGT9-mediated Mg2+ acquisition in cassava. J. Integr. Plant Biol. 2023, 65, 2349–2367. [Google Scholar] [CrossRef] [PubMed]
  106. Liu, X.X.; Zhang, H.H.; Zhu, Q.Y.; Ye, J.Y.; Zhu, Y.X.; Jing, X.T.; Du, W.X.; Zhou, M.; Lin, X.Y.; Zheng, S.J.; et al. Phloem iron remodels root development in response to ammonium as the major nitrogen source. Nat. Commun. 2022, 13, 561. [Google Scholar] [CrossRef] [PubMed]
  107. Pandey, A.; Devi, L.L.; Gupta, S.; Prasad, P.; Agrwal, K.; Asif, M.H.; Pandey, A.K.; Bandyopadhyay, K.; Singh, A.P. Jasmonate signaling modulates root growth by suppressing iron accumulation during ammonium stress. Plant Physiol. 2024, 196, 2213–2231. [Google Scholar] [CrossRef]
  108. Bolan, N.; Sarmah, A.K.; Bordoloi, S.; Bolan, S.; Padhye, L.P.; Van Zwieten, L.; Sooriyakumar, P.; Khan, B.A.; Ahmad, M.; Solaiman, Z.M.; et al. Soil acidification and the liming potential of biochar. Environ. Pollut. 2023, 317, 120632. [Google Scholar] [CrossRef]
  109. Dhandapani, S.; Sng, Y.H.; Agisha, V.N.; Suraby, E.J.; Park, B.S. Mitigating aluminum toxicity and promoting plant resilience in acidic soil with Penicillium olsonii TLL1. Front. Plant Sci. 2024, 15, 1423617. [Google Scholar] [CrossRef]
  110. Feng, Z.; Ji, S.; Ping, J.; Cui, D. Recent advances in metabolomics for studying heavy metal stress in plants. TrAC-Trend Anal. Chem. 2021, 143, 116402. [Google Scholar] [CrossRef]
Figure 1. An illustration of the working principle of ion-selective flux rate microsensors in NMT, showing a case using Na+ concentration gradient and a Na+-selective flux rate microsensor. The Na+-selective flow rate microsensor achieves ion selectivity for Na+ by filling a Liquid Ion Exchanger (LIX) into its front-end tip. This flow rate microsensor measures the voltage (V1 and V2) at two points separated by a known distance (dx) within the concentration gradient of the target ion. The concentration difference (dc) between these two points can then be calculated from V1, V2, and the known voltage/concentration calibration curve of the microsensor (based on the Nernst Equation). D represents the ion’s diffusion constant (unit: cm−2·s−1). Substituting these values into Fick’s First Law of Diffusion (J = −D (dc/dx)) yields the flow rate of the ion (unit: pico mol·cm−2·s−1). This unit represents the number of moles of the ion/molecule passing through per square centimeter per second.
Figure 1. An illustration of the working principle of ion-selective flux rate microsensors in NMT, showing a case using Na+ concentration gradient and a Na+-selective flux rate microsensor. The Na+-selective flow rate microsensor achieves ion selectivity for Na+ by filling a Liquid Ion Exchanger (LIX) into its front-end tip. This flow rate microsensor measures the voltage (V1 and V2) at two points separated by a known distance (dx) within the concentration gradient of the target ion. The concentration difference (dc) between these two points can then be calculated from V1, V2, and the known voltage/concentration calibration curve of the microsensor (based on the Nernst Equation). D represents the ion’s diffusion constant (unit: cm−2·s−1). Substituting these values into Fick’s First Law of Diffusion (J = −D (dc/dx)) yields the flow rate of the ion (unit: pico mol·cm−2·s−1). This unit represents the number of moles of the ion/molecule passing through per square centimeter per second.
Plants 14 01932 g001
Figure 2. A comprehensive model of NMT application in elucidating plant responses to abiotic stress conditions. This schematic illustrates the integration of NMT with various major abiotic stress types, including but not limited to water stress, salt stress, alkali stress, extreme temperature stress, ammonium toxicity, acid stress, heavy metal toxicity, and nutrient imbalance. The model demonstrates how NMT can be used to monitor real-time dynamic fluxes (influx and efflux) of different ions (e.g., Na+, K+, Cd2+, and Ca2+) within different plant cells and tissues (e.g., guard cell, mesophyll cell, and root tip), thereby revealing the stress defense mechanisms of plants. By non-invasive, real-time, high sensitivity and spatial resolution measuring ion transport rate, this model provides a deeper mechanistic understanding of plant adaptation strategies and stress signaling pathways. The circles represent the measurement points for NMT. Black arrows indicate the direction of ion flux. Blue arrows represent increases or decreases in the magnitude of ion influx or efflux. Blue blunt arrowheads represent defense responses against abiotic stress.
Figure 2. A comprehensive model of NMT application in elucidating plant responses to abiotic stress conditions. This schematic illustrates the integration of NMT with various major abiotic stress types, including but not limited to water stress, salt stress, alkali stress, extreme temperature stress, ammonium toxicity, acid stress, heavy metal toxicity, and nutrient imbalance. The model demonstrates how NMT can be used to monitor real-time dynamic fluxes (influx and efflux) of different ions (e.g., Na+, K+, Cd2+, and Ca2+) within different plant cells and tissues (e.g., guard cell, mesophyll cell, and root tip), thereby revealing the stress defense mechanisms of plants. By non-invasive, real-time, high sensitivity and spatial resolution measuring ion transport rate, this model provides a deeper mechanistic understanding of plant adaptation strategies and stress signaling pathways. The circles represent the measurement points for NMT. Black arrows indicate the direction of ion flux. Blue arrows represent increases or decreases in the magnitude of ion influx or efflux. Blue blunt arrowheads represent defense responses against abiotic stress.
Plants 14 01932 g002
Table 1. NMT application in plant abiotic stress.
Table 1. NMT application in plant abiotic stress.
StressSamplesDetection SiteIons/MoleculesReferences
RiceSeed embryoK+, Na+[36]
QuinoaRoot elongation and mature zoneK+[37]
QuinoaLeaf mesophyll cellsCa2+, K+, H+[38]
Barley and triticaleRoot elongation and mature zoneCa2+, K+, H+[39]
RiceRoot mature zoneK+, Ca2+[40]
ArabidopsisRoot meristematic zoneNa+[41]
ArabidopsisRootsNa+, H+[42]
Populus euphraticaRootsNa+[43]
Populus euphraticaRoot meristematic zoneNa+[44]
Limonium bicolorSalt glandsNa+[45]
Nitraria tangutorumRoot tipNa+, K+[46]
Sugar beetRootsCl-[47]
BarleyRootsK+, H+[48]
Kandelia obovataLeavesNa+[49]
Kandelia obovataRootsNa+, K+, H+, Ca2+[50]
Kandelia obovataRootsNa+, K+[51]
Alkali stressMaizeRoot meristematic zoneNa+, H+[52]
ArabidopsisLeaf mesophyll cellsH+[53]
WheatRootsH+[54]
ArabidopsisRoot elongation zoneH+[55]
RapeseedLeaf mesophyll cellsNa+, K+, Ca2+[56]
Water stressUpland riceRoot tipIAA[12]
Rice, ArabidopsisRoot tipH+[57]
SoybeanLeaf mesophyll cellsK+, H+, Ca2+[58]
BarleyLeaf mesophyll cells, rootsK+, H+, Ca2+[59]
TeaRootsK+[60]
CottonGuard cellK+[61]
BarleyRootsK+[62]
Trifoliate orangeRoot hair zoneIAA[63]
CottonLeaf mesophyll cellsCa2+[64]
Chinese cabbageGuard cellCl, K+, H+[65]
Low-temperature stressRiceRoot meristematic zoneCa2+[8]
WatermelonIntracellularCa2+[66]
RiceRootsCa2+[67]
RiceRootsCa2+[68]
CucumberRootsCa2+[69]
ArabidopsisRootsO2[70]
High-temperature stressArabidopsisLeaf mesophyll cellsH+, K+, Ca2+[71]
RiceLeaf mesophyll cellsCa2+[72]
LettuceGuard cellK+, Ca2+[73]
RiceRoot and aboveground partsCa2+[74]
PoplarRootsCa2+[75]
Nutrition stressAppleStock root elongation zoneH+[29]
AppleStock rootsH+, NO3[76]
WheatRootsIAA, H+[77]
RiceRoot meristem zoneNH4+[78]
White spruceRootsH+, NH4+, NO3[79]
Lodgepole pineRoot and aboveground partsH+, NH4+, NO3[80]
Apple rootstockRoot mature zoneH+[81]
Ammonium toxicityWheatRootsK+[82]
ArabidopsisRootsNH4+, NO3[83]
ArabidopsisRootsNO3[84]
Acid stressTeaRoot mature areaH+[85]
ArabidopsisRoot meristem zone, elongation zone and mature zoneH+[86]
ArabidopsisRootsCl, NO3[87]
Malus hupehensisRootsH+[88]
PopulusRootsMg2+, IAA[89]
Heavy metal toxicitySedum plumbizincicolaRootsCd2+[90]
Cathay poplarRootsCd2+[91]
Populus euphraticaRoot tipCd2+[92]
Eichhornia crassipesRoots, stem, leavesH2O2, O2[93]
Pak choiRootsCd2+[94]
DiatomFrustuleCd2+[95]
BarleyRootsCd2+, K+, H+,
Cl, Ca2+
[96]
Populus euphraticaRootsCd2+[97]
Apple rootstocksRootsCd2+[98]
This table summarizes stress types, plant samples, detection sites, target ions/molecules, and corresponding references, highlighting NMT’s utility in monitoring ion/molecule dynamics under abiotic stress conditions. Stress types: categories of abiotic stress (e.g., salt stress, alkali stress, water stress, extreme temperature stress, nutrition stress, ammonium toxicity, acid stress, heavy metal stress). Samples: plant species or tissues analyzed (e.g., Arabidopsis, rice, apple). Detection site: specific plant organs or subcellular regions measured (e.g., root tips, leaf mesophyll cells). Ions/molecules: ions or signaling molecules (e.g., K+, Na+, Ca2+, NH4+, H+, Cd2+, NO3, IAA) tracked using NMT. References: key studies demonstrating NMT’s application in abiotic stress physiology.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhang, T.; Yin, P.; Yang, X.; Liu, Y.; Xu, R. Non-Invasive Micro-Test Technology in Plant Physiology Under Abiotic Stress: From Mechanism to Application. Plants 2025, 14, 1932. https://doi.org/10.3390/plants14131932

AMA Style

Zhang T, Yin P, Yang X, Liu Y, Xu R. Non-Invasive Micro-Test Technology in Plant Physiology Under Abiotic Stress: From Mechanism to Application. Plants. 2025; 14(13):1932. https://doi.org/10.3390/plants14131932

Chicago/Turabian Style

Zhang, Tianpeng, Peipei Yin, Xinghong Yang, Yunqi Liu, and Ruirui Xu. 2025. "Non-Invasive Micro-Test Technology in Plant Physiology Under Abiotic Stress: From Mechanism to Application" Plants 14, no. 13: 1932. https://doi.org/10.3390/plants14131932

APA Style

Zhang, T., Yin, P., Yang, X., Liu, Y., & Xu, R. (2025). Non-Invasive Micro-Test Technology in Plant Physiology Under Abiotic Stress: From Mechanism to Application. Plants, 14(13), 1932. https://doi.org/10.3390/plants14131932

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop