Unlocking Grass Stress Resistance: Fungal Endophyte-Mediated Pathogen Recognition and RNA Regulation
Abstract
1. Introduction
2. Molecular Mechanisms of Fungal Endophyte-Mediated Stress Tolerance
2.1. Stress Tolerance in Grasses
2.2. RNA Regulation
2.2.1. Non-Coding RNAs and Stress Tolerance
2.2.2. RNA Silencing Mechanisms
2.3. Epigenetic Modifications in Host Grasses
3. Pathogen Recognition and Immune System Modulation by Endophytes
3.1. Pathogen Recognition and Signaling Networks in Grasses
3.2. Effector Proteins and Immune Modulation
3.3. Immune Priming and Systemic Resistance
4. Multi-Omics Landscapes and AI-Driven Discovery in Grass–Endophyte Symbiosis
4.1. Integration of Genomics, Transcriptomics, and Proteomics
4.2. Metabolomics and Fluxomics
4.3. AI–Omics Synergy: From Descriptive Mapping to Predictive Precision Discovery
5. Biocontrol, Microbiome-Mediated Protection, and Sustainable Disease Management
5.1. Fungal Endophytes as Biocontrol Agents
5.2. Microbiome-Mediated Protection
5.3. Environmental Sustainability in Disease Management
6. From Lab to Land: Scaling Fungal Endophytes for Climate-Smart Agriculture
7. Limitations and Future Outlooks
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ABA | Abscisic acid |
| AGO | Argonaute protein |
| AI | Artificial intelligence |
| APX | Ascorbate peroxidase |
| CAT | Catalase |
| CDPK | Calcium-dependent protein kinase |
| CNN | Convolutional neural network |
| CPM | Counts per million |
| CRISPR | Clustered regularly interspaced short palindromic repeats |
| DAMPs | Damage-associated molecular patterns |
| DCL | Dicer-like protein |
| DBTL | Design–Build–Test–Learn |
| DREB | Dehydration-responsive element-binding protein |
| DW | Dry weight |
| ET | Ethylene |
| FDR | False discovery rate |
| GC-MS | Gas chromatography–mass spectrometry |
| HSPs | Heat shock proteins |
| IAA | Indole-3-acetic acid |
| IPM | Integrated pest management |
| ISR | Induced systemic resistance |
| JA | Jasmonic acid |
| LC-MS | Liquid chromatography–mass spectrometry |
| LEA | Late embryogenesis abundant proteins |
| lncRNA | Long non-coding RNA |
| LSTM | Long short-term memory network |
| MAPK | Mitogen-activated protein kinase |
| MDA | Malondialdehyde |
| miRNA | MicroRNA |
| ML | Machine learning |
| ncRNA | Non-coding RNA |
| NMR | Nuclear magnetic resonance |
| PEG | Polyethylene glycol |
| PAMPs | Pathogen-associated molecular patterns |
| POD | Peroxidase |
| PR | Pathogenesis-related protein |
| PRRs | Pattern recognition receptors |
| PTGS | Post-transcriptional gene silencing |
| PTI | PAMP-triggered immunity |
| RDR | RNA-dependent RNA polymerase |
| RISC | RNA-induced silencing complex |
| RLKs | Receptor-like kinases |
| RLCKs | Receptor-like cytoplasmic kinases |
| RNAi | RNA interference |
| ROS | Reactive oxygen species |
| SA | Salicylic acid |
| SAR | Systemic acquired resistance |
| siRNA | Small interfering RNA |
| SOD | Superoxide dismutase |
| SVM | Support vector machine |
| TCA | Tricarboxylic acid cycle |
| TPM | Transcripts per million |
| VOCs | Volatile organic compounds |
| WUE | Water-use efficiency |
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| Stress Type | Mechanistic Pathway | Endophyte Host | Measured Host Responses | References |
|---|---|---|---|---|
| Salt Stress | Ionic homeostasis, ROS reduction | Ulocladium sp., Penicillium citrinum | Na+ reduced by 40% in roots; K+ maintained near control levels under 150 mM NaCl | [29] |
| Drought Stress | Osmotic regulation, antioxidant enzyme enhancement | Neocamarosporium spp., Periconia macrospinosa (tomato & cucumber) | Increased proline, CAT, POD, SOD activities; higher chlorophyll & biomass under salt and drought | [29] |
| Drought Stress | Antioxidant regulation, lower oxidative injury | Aspergillus terreus (PP038155.1) in wild plants | Decreased MDA, electrolyte leakage; increased proline, SOD, chlorophyll under 150–300 mM NaCl and 10–20% PEG | [30] |
| Salt Stress | Phytohormone modulation, enhanced antioxidant defense | Aspergillus terreus CR7 in Vigna radiata | IAA production (~23 µg/mL); CAT & SOD upregulated; reduced electrolyte leakage, proline & MDA under 150–250 mM NaCl | [31] |
| Heat Stress | Stress metabolite regulation & ROS modulation | Thermomyces sp., Aspergillus niger | Increased antioxidant enzymes & specialized metabolites; improved growth under elevated temperature | [32] |
| Cold Stress | Stress gene expression & osmolyte accumulation | Piriformospora indica (Arabidopsis, barley) | Upregulation of cold-regulated genes; increased SOD & CAT; reduced MDA under low temperature | [32] |
| Alkaline Stress | Secondary metabolite production, pH buffering | Fusarium oxysporum | Lignin content reduced by 50%, increase in phenolic compounds by 15% under alkaline stress | [33] |
| Temperature + Osmotic Stress | Integrated osmotic and redox buffering | Diverse fungal endophyte taxa | Increased proline accumulation, enhanced CAT, SOD and APX antioxidant activity, improved chlorophyll content and biomass under combined stress conditions | [34] |
| Approach | Mechanistic Insight | Key Quantitative Metrics | Example Calculation | References |
|---|---|---|---|---|
| Dual RNA-seq | Simultaneous analysis of plant and fungal gene expression during stress | TPM/CPM counts; log2 fold change; pathway enrichment (FDR) | log2FC = log2 (TPMstress/TPMcontrol) | [77] |
| 13C isotope tracing | Quantifies carbon transfer from host plant to fungal biomass | Atom % 13C enrichment; carbon allocation rate | Atom% excess = sample − baseline | [78] |
| 13C/15N labeling systems | Tracks nutrient flow between plant tissues and symbiotic microbes | δ13C, δ15N enrichment values | Isotope mixing models for nutrient partitioning | [79] |
| Microbiome network analysis (SPIEC-EASI) | Identifies microbial interaction networks and keystone taxa | Node degree; centrality; network edges | Graphical model inference for compositional data | [80,81] |
| LC–MS metabolomics | Detects metabolic reprogramming induced by endophytes | Peak intensity; metabolite fold-change; CV | Fold change = treated/control | [82] |
| RNA-seq + microbiome profiling | Links host transcriptional responses with microbial community shifts | Relative abundance (%); α-diversity (Shannon index) | Δ abundance = log2 ratio between treatments | [83] |
| Targeted ionomics | Reveals ion homeostasis under salt or metal stress | Ion concentrations (mg g−1 DW); K+/Na+ ratio | K+/Na+ = [K+]/[Na+] | [83] |
| Antioxidant enzyme assays | Measures oxidative stress buffering capacity | SOD, CAT activity (U mg−1 protein); MDA levels | % change = (treated − control)/control × 100 | [83] |
| Plant Trait | Endophyte-Induced Effect | Quantitative Indicators/Physiological Changes | Representative Study |
|---|---|---|---|
| Chlorophyll Content | Endophyte colonization maintains photosynthetic pigment stability under abiotic stress | 12–25% increase in chlorophyll a+b and improved photosynthetic efficiency under drought and salinity stress | [116] |
| Water-Use Efficiency (WUE) | Improved stomatal regulation and osmotic balance | Increased WUE and reduced transpiration losses under water deficit conditions | [116] |
| Root Architecture | Endophytes stimulate root elongation and lateral root development | Root length and lateral root density increased by ~20–35%, improving water acquisition under drought | [117] |
| Nutrient Uptake (N, P, Fe) | Enhanced nutrient acquisition via improved root surface area and microbial nutrient mobilization | Increased uptake of N and P (20–40%) and improved Fe availability in endophyte-associated plants | [118] |
| Root Exudate Composition | Endophyte colonization alters exudate profile and amino acid secretion | Increased release of amino acids, organic acids, and sugars that influence rhizosphere nutrient cycling | [119] |
| Antioxidant Enzyme Activity (SOD, CAT, POD) | Activation of antioxidant defense systems to detoxify reactive oxygen species | SOD, CAT, and POD activities increased by 30–60% under drought or salt stress | [120] |
| Secondary Metabolite Production | Endophytes stimulate phenolics, flavonoids, and other stress-related metabolites | Elevated phenolic and flavonoid concentrations associated with improved oxidative stress tolerance | [121] |
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Ahmad, A.; Ahmed, M.M.; Akhtar, A.; Liu, W.; Yang, R.; Sun, X.; Wang, X.; Bibi, S.; Khan, M.B.; Chen, S. Unlocking Grass Stress Resistance: Fungal Endophyte-Mediated Pathogen Recognition and RNA Regulation. Int. J. Mol. Sci. 2026, 27, 3899. https://doi.org/10.3390/ijms27093899
Ahmad A, Ahmed MM, Akhtar A, Liu W, Yang R, Sun X, Wang X, Bibi S, Khan MB, Chen S. Unlocking Grass Stress Resistance: Fungal Endophyte-Mediated Pathogen Recognition and RNA Regulation. International Journal of Molecular Sciences. 2026; 27(9):3899. https://doi.org/10.3390/ijms27093899
Chicago/Turabian StyleAhmad, Ayaz, Mian Muhammad Ahmed, Aadab Akhtar, Wanwan Liu, Rui Yang, Xu Sun, Xiaobin Wang, Sadia Bibi, Muhammad Bilal Khan, and Shuihong Chen. 2026. "Unlocking Grass Stress Resistance: Fungal Endophyte-Mediated Pathogen Recognition and RNA Regulation" International Journal of Molecular Sciences 27, no. 9: 3899. https://doi.org/10.3390/ijms27093899
APA StyleAhmad, A., Ahmed, M. M., Akhtar, A., Liu, W., Yang, R., Sun, X., Wang, X., Bibi, S., Khan, M. B., & Chen, S. (2026). Unlocking Grass Stress Resistance: Fungal Endophyte-Mediated Pathogen Recognition and RNA Regulation. International Journal of Molecular Sciences, 27(9), 3899. https://doi.org/10.3390/ijms27093899

