From Perception to Adaptation: A Comparative Study of Plant Regulatory Networks in Response to Heat and Waterlogging Stress
Abstract
1. Introduction
2. A Comparative Framework: From Primary Stress Perception to Convergent Crises in Plants
2.1. Primary Stress Perception and Early Cellular Disruption
2.2. Energy Metabolism Under Thermal and Hypoxic Constraints
2.3. Photosynthetic Dysfunction and Carbon Assimilation Failure
2.4. Oxidative Stress as a Convergent Cellular Crisis
2.5. Hormonal Reprogramming and Growth Trade-Offs
2.6. Strategic Implications: Shared Hubs vs. Stress-Specific Solutions
3. Plants Adaptations to Heat and Waterlogging Stress
3.1. Physiological Mechanisms of Plants in Responses to Heat and Waterlogging Stress
3.1.1. Stomatal Regulation
- A:
- Stomatal Regulation under Heat Stress
- B:
- Stomatal Regulation under Waterlogging Stress
- C:
- Shared Mechanisms and Comparative Analysis of Stomatal Regulation under Waterlogging and Heat Stress
3.1.2. Structural Adaptations of Roots
- A:
- Structural Adaptation of Roots under Heat Stress
- B:
- Structural Adaptation of Roots under Waterlogging Stress
- C:
- Shared Mechanisms and Comparative Analysis of Root Adaptation under Heat and Waterlogging Stress
3.1.3. Aerenchyma Formation Under Waterlogging Stress
3.2. Antioxidant Defense Systems Against Heat and Waterlogging Stress
3.3. Comparative Mechanisms of Plant Responses to Heat and Waterlogging Stress
3.4. Adaptive Strategies of Plants Towards Stress Conditions
3.4.1. Stress Perception and Signal Transduction
3.4.2. Transcriptional Reprogramming and Stress-Responsive Genes
3.4.3. Hormonal Crosstalk and Regulatory Networks
3.4.4. Physiology Responses and Morphological Outcomes
4. Strategies for Enhancing Plant Tolerance to Heat and Waterlogging Stress
4.1. Breeding for Stress Tolerance
4.2. Genetic Engineering Approaches
4.3. Transcriptomic Approaches to Identify Key Stress-Responsive Genes
| Gene Name | Stress Type | Crop Name | Gene Function | Reference |
|---|---|---|---|---|
| LlHsfA3A, LlHsfA3B | Heat stress | Lilium longiflorum | LlHsfA3A: Enhances thermotolerance. LlHsfA3B: Improves acquired thermotolerance. Both affect proline metabolism. | [150] |
| VvbZIP60, VvbZIP60s | Heat stress | Vitis vinifera | VvbZIP60: Regulates heat tolerance via UPR. VvbZIP60s: Unconventional form that interacts with VvHSP83. | [151] |
| CsHSFA2, CsHSP70, CsSOD1, CsSOD2 | Heat stress | Camellia sinensis | CsHSFA2: Responds to heat stress. CsHSP70: Stabilizes proteins. CsSOD1/CsSOD2: Detoxifies ROS. | [143] |
| SmHSP70, SmHSP90 | Heat stress | Solanum melongena | SmHSP70/90: Stabilizes proteins under heat stress. | [144] |
| IaHSP70, IaHSP90, IaHSFA2 | Heat stress | Ipomoea aquatica | IaHSP70/90: Stabilize proteins. IaHSFA2: Regulates heat stress. | [145] |
| SlyHSFs-1, SlyHSFs-2, SlyHSFs-8, SlyHSFs-5, | Heat stress | Solanum lycopersicum | SlyHSFs: Regulates heat tolerance pathways. | [152] |
| MdHSFA2, MdGols4/6 | Heat stress | Malus domestica | MdHSFA2: Regulates heat tolerance by activating heat stress-responsive genes. MdGolS4/6: Involved in heat stress response. | [153] |
| HvERF1, HvADH1, HvSOD1 | Waterlogging stress | Hordeum vulgare | HvERF1: Involved in ethylene signaling. HvADH1: Supports anaerobic metabolism. HvSOD1: Detoxifies ROS under waterlogging stress. | [146] |
| CmSOD, CmCAT, CmADH1 | Waterlogging stress | Chrysanthemum morifolium | CmSOD: Detoxifies ROS. CmCAT: Breaks down hydrogen peroxide. CmADH1: Supports anaerobic metabolism. | [147] |
| CmADH, CmPDC, CmSOD, CmCAT | Waterlogging stress | Cucumis melo | CmADH: Alcohol dehydrogenase for anaerobic respiration. CmPDC: Pyruvate decarboxylase. CmSOD: Detoxifies ROS. CmCAT: Reduces hydrogen peroxide. | [148] |
| MdADH, MdPDC, MdSOD | Waterlogging stress | Malus domestica | MdADH: Alcohol dehydrogenase for anaerobic metabolism. MdPDC: Pyruvate decarboxylase. MdSOD: Detoxifies ROS under waterlogging stress. | [149] |
| CabHLH18 | Waterlogging stress | Capsicum annuum | CabHLH18: A bHLH transcription factor that improves growth, root length, and stress-related metabolites under waterlogging stress. | [137] |
| OsSub1A, OsERF71 | Waterlogging stress | Oryza sativa | OsSub1A: Regulates ethylene response and anaerobic metabolism. OsERF71: Involved in submergence tolerance | [154] |
4.4. Metabolic Insights into Stress-Responsive Pathways
| Metabolite Name | Stress Type | Crop Name | Metabolic Pathway/Function | Reference |
|---|---|---|---|---|
| Proline | Heat stress | Zea mays | Maintains cellular hydration and acts as an antioxidant, protecting against heat stress | [160] |
| Phenylpropanoid | Heat stress | Cucumis sativus | Phenylpropanoids, including flavonoids, accumulate under heat stress, contributing to stress tolerance. | [169] |
| Glutathione, Amino Acids, Organic Acids, Flavonoids, Sugars | Heat stress | Capsicum annuum | Accumulation of glutathione, amino acids, organic acids, flavonoids, and sugars enhances heat stress tolerance by regulating osmotic balance and providing protective effects. | [170] |
| Cytokinins, Auxins, Gibberellins, Abscisic Acid, Salicylic Acid Ethylene | Heat stress | Eriobotrya japonica | Cytokinins, auxins, gibberellins, abscisic acid, salicylic acid and ethylene regulate heat stress by modulating stress tolerance pathways. | [171] |
| Glutathione, Nucleoredoxin, GABA pathway metabolites | Heat stress | Mangifera indica | Glutathione detoxifies ROS, nucleoredoxin and GABA-shunt metabolites help regulate oxidative stress. | [172] |
| Malondialdehyde (MDA), Superoxide Dismutase (SOD), Guaiacol Peroxidase (POD), Catalase (CAT) | Waterlogging stress | Citrus sinensis | MDA is a marker for oxidative stress; SOD, POD, and CAT detoxify ROS under waterlogging stress | [173] |
| Peroxidase (PERs), Cinnamoyl-CoA Reductases (CCRs) | Waterlogging stress | Hordeum vulgare | Peroxidases (PERs) and Cinnamoyl-CoA reductases (CCRs) enhance cell wall biogenesis and peroxidase activity in the phenylpropanoid pathway thus improving waterlogging tolerance. | [165] |
| GABA, Sucrose, Glucose, Trehalose | Waterlogging stress | Chenopodium quinoa | GABA regulates phenylpropanoid metabolism, enhancing flavonoid and phenolic acid biosynthesis. Sucrose, glucose, and trehalose provide energy for adventitious root production during waterlogging. | [166] |
| Ascorbate Peroxidase (APX), Glutathione (GSH) | Waterlogging stress | Sesamum indicum | APX and glutathione (GSH) are antioxidant enzymes that enhance the oxidative stress tolerance | [164] |
4.5. Agronomic Practices for Enhancing Plant Tolerance to Heat and Waterlogging Stress
4.5.1. Irrigation and Drainage Management
4.5.2. Soil Management
4.5.3. Crop Rotation and Intercropping

4.6. Integrated Strategies for Developing Stress-Resilient Crops: Translating Comparative Insights into Targeted Interventions
4.6.1. Conceptual Rationale
4.6.2. Strategic Logic
- 1.
- Target Shared Regulatory Hubs for Broad Resilience: Central hubs like ROS-scavenging networks, calcium signaling components, and MAPK cascades operate across multiple stresses and represent high-leverage targets for broad tolerance. Enhancing these pathways strengthens basal resilience where stress occurrence is unpredictable [195]. However, the comparative framework underscores the importance of shared regulatory hubs between heat stress and waterlogging stress, including ROS scavenging, ABA signaling, and antioxidant defense systems. These mechanisms, which are activated in both stresses, present effective targets for broad resilience strategies that enable crops to withstand both environmental stressors. By focusing on these shared mechanisms, it is possible to enhance multi-stress tolerance, ensuring crops remain resilient even in unpredictable environments where both heat and waterlogging co-occur.
- A.
- Molecular Breeding
The application of GWAS and QTL mapping allows breeders to identify genetic markers linked to shared mechanisms such as ROS detoxification and ABA-mediated regulation. By targeting these markers, breeding programs can enhance multi-stress tolerance across different environments. Tools like marker-assisted selection (MAS) and CRISPR-Cas9 technology can facilitate the integration of these traits into crops, improving their ability to respond to both stresses simultaneously. For example, optimizing ROS management pathways through genetic modification can confer resilience to both heat and waterlogging stress, benefiting crops like rice, maize, and wheat.- B.
- Agronomic Practices
In addition to genetic strategies, agronomic practices play a critical role in reinforcing multi-stress resilience. Practices such as optimized irrigation management, which addresses waterlogging issues, and early planting, which mitigates the effects of heat stress, can complement genetic improvements. By implementing strategic field management, such as proper irrigation timing and planting schedules, we can help crops adapt to unpredictable environmental stressors. These practices, when integrated with molecular breeding, offer a holistic approach to enhancing crop resilience in regions where both heat and waterlogging stresses are prevalent. - 2.
- Stack Stress-Specific Traits for Predictable Co-occurrence: When heat and waterlogging reliably co-occur, combining heat-specific (HSF/HSP) and waterlogging-specific (ERF-VII, aerenchyma formation) traits maximizes adaptation tailored to local conditions [196]. In regions where heat and waterlogging stress co-occur predictably, a more effective strategy is to focus on stacking stress-specific traits that address the unique challenges posed by each stress. This approach leverages specific adaptations for each stressor to enhance crop performance under predictable stress environments. For example, combining heat shock proteins (HSPs), which improve heat tolerance, with ethylene-responsive transcription factors (ERF-VII) that promote aerenchyma formation under waterlogging stress can optimize crop resilience. By targeting these distinct mechanisms, we can tailor interventions to environments where both heat and waterlogging co-occur regularly, ensuring that crops are specifically adapted to these combined stresses.
- A.
- Molecular Tools
Genome editing technologies such as CRISPR-Cas9 allow for precise stacking of stress-specific traits, enabling crops to adapt to co-occurring stresses with high specificity. For example, stacking HSPs for heat stress tolerance and ERF-VII transcription factors for waterlogging tolerance offers a targeted approach to improve resilience under predictable environmental conditions. This stacking strategy ensures that the plant has the necessary mechanisms to survive and thrive in both heat and waterlogging stress scenarios, which are often seen together in certain geographic regions or seasons.- B.
- Phenomics Technologies
Phenomics technologies, particularly high-throughput phenotyping, provide a means to screen for key traits such as root architecture, stomatal regulation, and photosynthetic efficiency under combined heat and waterlogging stresses. These phenotypic traits are crucial for ensuring optimal plant performance under both stresses, allowing breeders to select plants that exhibit the best combinations of traits for multi-stress resilience. Phenomics thus accelerates the process of identifying stress-resilient plants, allowing for faster development of crops that are genetically and physiologically optimized for co-occurring stresses. - 3.
- Implementation Flow:Step 1: Characterize environmental stress patterns (heat only, waterlogging only, combined): Conduct a thorough assessment of the frequency, intensity, and timing of heat and waterlogging events in the target environment. Use historical climate data, predictive modeling, and in-field measurements to determine whether stresses occur independently or concurrently. For instance, in regions with seasonal monsoons followed by heat waves, crops may require stacked adaptations, while areas with sporadic heat events may benefit more from shared hub optimization. This step ensures that subsequent interventions are environmentally contextualized rather than generic [197].Step 2: Map key stress-specific and shared mechanisms: Identify the molecular, hormonal, physiological, and morphological pathways underlying tolerance to heat, waterlogging, and shared stress responses. Heat-specific mechanisms include HSF-HSP networks, ABA-mediated stomatal regulation, and thermos-tolerance-associated metabolites [198,199]. Waterlogging-specific mechanisms include ERF-VII transcription factors, aerenchyma and adventitious root formation, and anaerobic metabolism [200]. Shared hubs involve ROS scavenging, Ca2+-MAPK signaling, and antioxidant enzyme activation [195,198,199,200]. Mapping these pathways allows prioritization of targets for breeding, genome editing, or agronomic interventions.Step 3: Prioritize interventions targeting shared hubs or stress-specific stacks. For unpredictable or variable stress environments, prioritize interventions that enhance shared regulatory hubs to provide moderate tolerance to multiple stresses simultaneously [194,198]. For predictable dual-stress environments, implement trait stacking: combine stress-specific adaptations (e.g., HSP induction + ERF-VII-mediated root adaptations) to maximize resilience [197,201,202].Consider potential synergistic or antagonistic interactions between traits—for example, overexpressing HSPs may influence ROS dynamics, which also impact waterlogging tolerance—requiring integrated evaluation.Step 4: Select deployment pathways (breeding, editing, and agronomy) based on crop species and resource context. Decide whether interventions are best applied through molecular breeding, transgenic/genome-editing approaches, or agronomic management. Molecular breeding is suited for crops with extensive genomic resources and for stacking multiple loci. Transgenic or genome-editing approaches are optimal for precise modifications of key hubs, especially where trait stacking is required. Agronomic interventions—such as optimized irrigation, raised beds, or priming treatments—can complement genetic improvements and provide immediate stress mitigation [195,203]. The chosen deployment pathway should also consider economic feasibility, farmer adoption potential, and regulatory constraints.
4.6.3. Decision Matrix for Resilience Strategies
5. Conclusions
6. Future Directions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Mechanism/Process | Heat Stress | Waterlogging Stress | Comparative Insight/Biological Significance |
|---|---|---|---|
| Oxidative Stress | Increased ROS production in chloroplasts and mitochondria, leading to lipid peroxidation and chlorophyll degradation. | ROS production in roots due to hypoxia, causing mitochondrial dysfunction and anaerobic metabolism. | Both stresses induce ROS, but the organ-specific ROS sites differ: chloroplasts/mitochondria vs. roots. ROS management is critical under both stresses. |
| Respiration | Increased initially, but inhibited at high temperatures, leading to energy loss. | Reduced due to oxygen deprivation, inhibiting root growth. | Both stresses impair energy production, but mechanisms differ: thermal inhibition vs. hypoxic limitation. |
| Photosynthesis | Reduced CO2 assimilation due to stomatal closure and damaged photosynthetic enzymes. | Reduced photosynthesis due to stomatal closure, mesophyll conductance impairment, and chlorophyll degradation. | Stomatal closure is common, but mesophyll effects and enzyme stability differ; both result in lowered carbon assimilation. |
| Hormonal Regulation | ABA regulates stomatal closure; HSFs activate heat shock proteins for protection. | ABA regulates stomatal closure; ethylene regulates aerenchyma formation in roots. | ABA-mediated stomatal regulation is shared; stress-specific hormonal pathways (HSFs vs. ethylene) enable adaptation. |
| Energy Metabolism | Increased respiration to meet energy demands, but inhibited at high temperatures. | Oxygen deprivation restricts ATP production, inhibiting root growth and nutrient uptake. | Both stresses limit energy availability; heat increases demand, waterlogging limits production. |
| Stress-Specific Adaptations | Heat shock proteins (HSPs) protect cellular components; HSFs regulate their expression. | Ethylene-responsive transcription factors (ERF-VII) mediate root adaptations and aerenchyma formation. | Unique adaptive strategies reflect stress type: protein protection under heat vs. structural adaptation under waterlogging. |
| Feature | Heat Stress | Waterlogging Stress |
|---|---|---|
| Primary trigger | Elevated temperature and vapor pressure deficit (VPD) | Root hypoxia and impaired water uptake |
| Key hormone involved | Abscisic acid (ABA) | Abscisic acid (ABA) and ethylene |
| Mechanism of closure | ABA-mediated ROS and Ca2+ signaling in guard cells | ABA accumulation due to root-zone hypoxia and ethylene |
| Photosynthetic impact | Reduced CO2 assimilation; increased risk of photoinhibition | Decreased gas exchange; chlorophyll degradation and leaf yellowing |
| Adaptive benefit | Limits transpiration water loss under high heat load | Conserves water despite saturated soil conditions |
| Long-term limitation | Reduced carbon fixation; potential overheating and growth suppression | Early senescence; reduced productivity due to prolonged gas exchange restriction |
| Feature | Schizogenous Aerenchyma | Lysigenous Aerenchyma |
|---|---|---|
| Formation mechanism | Separation of pre-existing cells | Programmed cell death (PCD) and cell lysis |
| Energy cost | Lower | Moderate, due to enzymatic degradation |
| Species distribution | Less common; observed in some wetland species | Common in cereals like rice, maize, wheat, barley |
| Trigger | Sometimes constitutive | Induced by waterlogging, ethylene, ROS |
| Main regulator | Developmental control | Ethylene, ROS, NO, Ca2+ signaling |
| Adaptation benefit | Facilitates internal air movement | Reduces root respiration demand, enhances oxygen diffusion |
| Antioxidant Mechanism | Key Components | Functions | References |
|---|---|---|---|
| Enzymatic Antioxidants | Superoxide dismutase (SOD), Ascorbate peroxidase (APX), Catalase (CAT), Glutathione reductase (GR), etc. | Catalyze reactions to neutralize ROS (e.g., superoxide, hydrogen peroxide) | [20,66] |
| Non-Enzymatic Antioxidants | Ascorbate (AsA), Glutathione (GSH), Carotenoids, Tocopherols | Scavenge ROS directly, protecting cellular components from damage | [21] |
| ROS Generation and Scavenging | Hydrogen Peroxide (H2O2), Superoxide (O2−), Hydroxyl radical (-OH) | Generated under stress; involved in signaling and oxidative damage | [67] |
| ROS Signaling Pathways | MAPK, Ca2+ signaling, H2O2 signaling | Regulate stress responses and acclimation processes | [70] |
| Plant Hormones and ROS Interaction | Abscisic Acid (ABA), Ethylene (ET) | Enhance stress tolerance via cross-talk with ROS | [71] |
| Hormone | Primary Role | Stress Condition | Interaction with Other Hormones | Key Function |
|---|---|---|---|---|
| Abscisic Acid (ABA) | Stress response regulator | Heat and Drought | Work with ethylene | Promotes stomatal closure, Regulate root development, osmotic adjustments |
| Ethylene | Stress adaptation in low oxygen | Waterlogging (hypoxia) | Works with ABA | Forms aerenchyma tissue, aids in oxygen exchange, regulates stress tolerance |
| Gibberellins (GA) | Growth regulation | All stresses | Reduced activity during stress | Limits growth to conserve resources |
| Auxins | Root architecture regulation | Waterlogging | Interacts with cytokinins | Promotes root elongation and lateral root growth |
| Cytokinin | Cell division, shoot growth | All stresses | Works with auxins | Promotes cellular repair, stress tolerance mechanisms |
| Criteria | Broad Resilience (Shared Regulatory Hubs) | Stress-Specific Adaptations (Stacking Traits) |
|---|---|---|
| Predictability of Stress Co-occurrence | Unpredictable (Stresses occur at different times in varying region) | Predictable (Stresses co-occur in specific regions/seasons) |
| Target Mechanisms | ROS Scavenging, ABA Signaling, Antioxidant Systems: These shared mechanisms help manage oxidative stress and osmotic balance across different stress types, offering broad resilience to unpredictable stress environments. | HSPs for Heat Stress, ERF-VII for Waterlogging: These stress-specific adaptations target mechanisms critical to each stress, ensuring that plants can adapt effectively when both stresses co-occur in specific regions or seasons. |
| Application Strategy | Multi-Stress Resilience Across Various Regions: Targeting shared mechanisms like ROS scavenging and ABA signaling provides resilience against multiple stressors in varying environments | Tailored Solutions for Specific Stress Co-occurrence: Focusing on stacking traits (e.g., HSPs and ERF-VII) provides a customized solution for areas where heat and waterlogging predictably occur together. |
| Best Approach | Target shared mechanisms for broad resilience: By improving the plant’s ability to handle multiple stressors through shared regulatory hubs, crops become more resilient across a wide range of environmental conditions. | Stack stress-specific traits for local adaptation: By combining heat tolerance traits (HSPs) with waterlogging adaptations (ERF-VII), crops are optimized for the specific challenges of environments where these two stresses co-occur regularly. |
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© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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Iqbal, J.; Amanullah, S.; Li, C.; Qin, X.; Yu, P.; Chen, X.; Qiu, D. From Perception to Adaptation: A Comparative Study of Plant Regulatory Networks in Response to Heat and Waterlogging Stress. Plants 2026, 15, 328. https://doi.org/10.3390/plants15020328
Iqbal J, Amanullah S, Li C, Qin X, Yu P, Chen X, Qiu D. From Perception to Adaptation: A Comparative Study of Plant Regulatory Networks in Response to Heat and Waterlogging Stress. Plants. 2026; 15(2):328. https://doi.org/10.3390/plants15020328
Chicago/Turabian StyleIqbal, Javed, Sikandar Amanullah, Chengyue Li, Xiaohui Qin, Pengbo Yu, Xuanyang Chen, and Dongliang Qiu. 2026. "From Perception to Adaptation: A Comparative Study of Plant Regulatory Networks in Response to Heat and Waterlogging Stress" Plants 15, no. 2: 328. https://doi.org/10.3390/plants15020328
APA StyleIqbal, J., Amanullah, S., Li, C., Qin, X., Yu, P., Chen, X., & Qiu, D. (2026). From Perception to Adaptation: A Comparative Study of Plant Regulatory Networks in Response to Heat and Waterlogging Stress. Plants, 15(2), 328. https://doi.org/10.3390/plants15020328

