Review Article | Open Access

Next Frontier: A Decade of Progress in Unraveling the Complexity of Plant-Microbe Interactions (2015-2025)

    Olajumoke Kemi Ekundayo LiveDNA ORCID

    Bamidele Olumilua University of Education Science and Technology, Ikere Ekiti, Nigeria

    Abayomi Samuel, Ayesa

    Bamidele Olumilua University of Education Science and Technology, Ikere Ekiti, Nigeria

    Isaac Iseoluwa Ajayi

    Bamidele Olumilua University of Education Science and Technology, Ikere Ekiti, Nigeria

    Damilola Deborah Afolalu

    Bamidele Olumilua University of Education Science and Technology, Ikere Ekiti, Nigeria

    Adedoyin M. Yusuf

    Bamidele Olumilua University of Education Science and Technology, Ikere Ekiti, Nigeria


Received
19 Oct, 2025
Accepted
07 Feb, 2026
Published
31 Mar, 2026

Over the past decade, research on plant-microbe interactions has undergone a significant paradigm shift, moving from a focus on individual relationships to a comprehensive understanding of the “plant holobiont”. This review synthesizes key advancements from 2015 to the present, highlighting how a plant’s health and productivity are inextricably linked to its associated microbial communities. Major discoveries include the elucidation of a sophisticated, bidirectional molecular dialogue involving root exudates, quorum sensing, and signaling peptides that orchestrate a wide spectrum of interactions from mutualism to pathogenesis. This progress has been enabled by a technological revolution, particularly the widespread application of “omics” approaches like metagenomics and multi-omics, which have allowed for the high-resolution analysis of previously unculturable microorganisms and their functional roles. These insights are being directly applied to address global challenges, leading to the development of Plant Growth-Promoting Rhizobacteria (PGPRs), microbial biocontrol agents, and strategies to aid plant resilience to abiotic stresses. While the question of the precise mechanisms by which plants differentiate between beneficial and pathogenic microbes continues to linger, the field is transitioning from a descriptive science to a predictive one. Future research directions are focused on intentional “microbiome engineering” and leveraging computational tools to create more resilient and sustainable agricultural systems.

Copyright © 2026 Ekundayo et al. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

INTRODUCTION

The period from 2015 to the present has ushered in a fundamental paradigm shift in plant biology, moving the scientific community away from viewing plants as solitary organisms to embracing the concept of the plant holobiont1. This perspective recognizes the plant as a complex, co-evolved ecosystem comprising the interaction of the host plant in relation to its microbial communities2. This complex assemblage of microorganisms, referred to as the plant microbiome, is now understood to be crucial to plant fitness, influencing everything from growth and nutrient acquisition to disease resistance and adaptation to environmental stressors2. The rapid evolution of high-throughput technologies has been instrumental in this transformation, enabling researchers to move beyond traditional, culture-dependent methods and analyze these complex microbial communities at a granular, molecular level2.

The plant microbiome is not a monolithic entity; rather, it is structured into distinct ecological domains, each with a unique set of microbial inhabitants and functions. The three primary domains are the rhizosphere, the phyllosphere, and the endosphere2. The rhizosphere is the subsoil layer surrounding the plant's root system, a zone teeming with microorganisms that are significantly influenced by substances released by the roots3. The important roles played by microbes in this domain in nutrient uptake, coupled with resistance to stress and diseases, cannot be overlooked3. The phyllosphere encompasses the entire above-ground surface of the plant, including the leaves, stems, and flowers4. This habitat is more dynamic and nutrient-poor compared to the rhizosphere and is subject to significant environmental fluctuations, such as variations in temperature, moisture, and radiation. Finally, the endosphere refers to the microbial communities that reside within the plant’s tissues, living inside or between the host cells. The recognition of the plant holobiont as a unified system has profoundly altered the direction of research. A plant’s ability to grow, thrive, and reproduce is now understood to be a direct result of its interactions with its microbiome, rather than the plant’s genetics alone4. This interconnectedness extends beyond a simple binary relationship. For instance, some soil bacteria are now known to participate in the symbiosis between arbuscular mycorrhizal (AM) fungi and plants, forming a “plant-AM fungus-bacterium continuum”4. In this tripartite relationship, AM fungi provide a habitat for soil bacteria via their vast network of extraradical hyphae, which grow through the soil and connect plant roots to soil microbial communities. In turn, these bacteria mineralize organic compounds, compensating for the limited saprophytic capacity of the fungi and making nutrients available for the plant-fungus symbiosis4. This shift to a multi-organismal network approach, enabled by modern analytical tools, represents a major conceptual advance that underpins much of the research detailed in this review.

SPECTRUM OF INTERACTIONS: FROM SYMBIOSIS TO SICKNESS

The relationships between plants and microbes encompass a wide and dynamic spectrum, ranging from beneficial mutualism to detrimental pathogenesis7. Over the past decade, research has significantly deepened the understanding of the specific molecular and genetic mechanisms that govern these interactions.

Mutualistic partnerships: The pillars of plant health: The most widely studied mutualistic relationships involve nutrient exchange, a process crucial to agricultural productivity. The interaction between leguminous plants and nitrogen-fixing bacteria, such as rhizobia, is a well-known example7. In this symbiosis, the bacteria colonize the plant’s roots and induce the morphology of root modified for a special function called nodules. Within these nodules, the bacteria do the conversion of atmospheric nitrogen gas into ammonia or ammonium for plant usage, while the plant gives the bacteria carbohydrates produced during photosynthesis. This partnership reduces the plant’s reliance on synthetic nitrogen fertilizers, making it a critical area of focus for sustainable agriculture8. Since 2015, genetic studies using model legumes have identified over 150 genes required for various stages of the legume-rhizobia symbiosis, revealing the complexity of this molecular dialogue9.

Another key mutualistic interaction involves mycorrhizal fungi, which form a mutualistic relationship with the many roots of land plants9. These fungi, particularly arbuscular mycorrhizal (AM), aid the extension of the root system of a plant through the mycelium, dramatically enhancing the absorption of nutrients by increasing the surface area (Table 1). This is especially beneficial for the uptake of less mobile nutrients like phosphorus9. In exchange, the plant provides the fungi with photosynthetically derived carbohydrates10. The molecular mechanisms of this relationship have been a subject of extensive research, revealing that genes involved in nutrient transfer, such as the phosphate (H3PO3-) transporter 1 and ammonium (NH4 transporter 2 gene families, are consistently induced during AM symbiosis across diverse plant families11.

Table 1: Plant microbiome: Domains and functions
Domain Location Key microbial groups Primary functions
Rhizosphere
Soil surrounding the root system4 Rhizobacteria (Bacillus, Azospirillum),
Mycorrhizal fungi, Archaea5
Influences nutrient uptake, aids
instress resistance (e.g., drought), and
protects from disease
Phyllosphere Aerial plant surfaces (leaves,
stems, flowers)4
Bacteria (Methylobacterium),
Fungi, Archaea, Viruses5
Can influence host physiology and
metabolism; subject to dynamic
environmental stress5
Endosphere Inside plant tissues (between
or within cells)4
Endophytic bacteria (Azoarcus),
Fungi5
Often mutualistic, aiding in plant growth
and conferring stress tolerance6

Pathogenic encounters: A constant arms race: In contrast to mutualism, pathogenic interactions are characterized by a microbe causing injury that can lead to disease, thereby having a significant negative impact on the survival of the plant and the yield11. The pathogens, such as bacteria, fungi, and viruses, strategically position themselves to infest and colonize the tissues of plants, thereby producing toxins, cell wall-degrading enzymes, or proteins to affect the plant’s immune response.

The plant immune system, in turn, has evolved a sophisticated two-layered defense system, elegantly conceptualized by the “zigzag model” of plant immunity11. The first layer is pathogen-associated molecular pattern (PAMP), and the second layer is pathogen-triggered immunity (PTI)12. In PTI, plants recognize broadly conserved microbial or PAMPs, such as bacterial flagellum or fungal chitin, through cell-surface pattern recognition receptors (PRRs). This recognition activates a basal defense response that is believed to be a principal component of resistance against a wide range of microbes12. For example, upon sensing PAMPs, plants like Arabidopsis can trigger stomatal closure to reduce bacterial entry into the leaf interior. The pathogen would have to release an effector protein into the host cell to overcome PTI12. The second layer of plant defense, effector-triggered immunity (ETI), is a more violent and robust response that is activated when a plant recognizes these specific effector proteins through intracellular nucleotide-binding leucine-rich repeat (NLR) immune receptors12. The ETI often culminates in a localized programmed cell death, known as the hypersensitive response (HR), at the infection site to contain the pathogen13.

While the zigzag model has been a powerful explanatory framework for plant-pathogen co-evolution, recent research has highlighted its limitations14. The model is primarily based on interactions with biotrophic pathogens that depend on a living host and does not fully account for the complex interplay with necrotrophs, which thrive on dead tissue, or with beneficial symbionts14. A critical, unresolved question in the field is how plants can effectively differentiate between mutualistic and pathogenic microorganisms, and how they modulate their immune responses to accommodate beneficial partners while restricting harmful ones15. For instance, studies have shown that during interactions with beneficial microbes, plants may repress the expression of certain defense-related genes, a molecular response that supports the accommodation of the symbiont without entirely suppressing immunity15. This suggests that the plant's immune system is not a simple "on/off" switch but rather a finely tuned regulatory network that is integrated with symbiotic pathways, a concept that challenges the original, more simplified interpretation of the zigzag model.

LANGUAGE OF THE ECOSYSTEM: MOLECULAR COMMUNICATION

The complex interactions between plants and their associated microbes are not random but are orchestrated by a sophisticated and bidirectional molecular dialogue15. This cross-kingdom communication involves a diverse array of chemical signals produced by both partners. The past decade has seen significant advances in identifying these signals and understanding their regulatory roles.

Table 2: Key molecular signals in plant-microbe communication
Signal type Origin Example molecule Role in interaction
Plant-derived Root Exudates Flavonoids Act as chemoattractant and induce nodulation genes in16
Plant-derived Signaling Peptides Peptides (5-50 amino acids) Transmit signals systemically to coordinate plant
defense and symbiotic responses16
Microbe-derived Quorum Sensing Autoinducers (QSMs) Coordinate microbial group behaviors like virulence,
biofilm formation, and symbiosis16
Microbe-derived Effector Proteins Effectors Secreted by pathogens to interfere with plant immunity
and enable infection17

Cross-kingdom dialogue: Plant-derived signals: Plants actively shape their microbial communities by releasing a vast array of allelopathic substances, particularly from their roots16. These root exudates, which include sugars, organic acids, and secondary metabolites, act as chemoattractant (Table 2) that recruit particular beneficial microbes to the rhizosphere. Flavonoids are a key example of these signaling compounds. In legume-rhizobia symbiosis, flavonoids released by the plant roots attract rhizobia and influence the appearance of their morphological modification for specialized functions, which is the nod genes, which are essential for nodule formation16. Similarly, flavonoids play an ecological role in enhancing the germination of AM fungal spores and directing hyphal growth toward the plant roots. The flavonoid pattern in roots is known to change dramatically as the AM symbiosis develops, suggesting a dynamic regulatory role throughout the interaction16.

Furthermore, to small molecules, plants also use secreted signaling peptides, which are short proteins (5-50 amino acids)16. Plants are allowed to make a coordinated, systemic response to microbial partners or threats, provided the peptides transmit information between different cells or organs. This internal signaling is crucial for regulating cellular programs to either host a mutualist or activate defense responses against a pathogen16.

Microbial communication: Quorum sensing and beyond: Microbes are not passive recipients of plant signals; they also possess sophisticated communication systems to coordinate their behavior. A key mechanism is quorum sensing (QS), a cell-to-cell communication system (Table 2) that permits microbes to coordinate group activities based on population density16. Bacteria produce and release small, diffusible chemical signals called autoinducers or quorum signaling molecules (QSMs)16. As the population density of the microbe increases to a certain level, these QSMs accumulate and trigger coordinated gene expression programs that regulate group behaviors, including the production of virulence factors, antibiotic synthesis, and the establishment of biofilms16.

The dense, nutrient-rich environment of the rhizosphere, nourished by plant root exudates, provides an ideal setting for bacteria to multiply to high densities, thus enabling QS to control beneficial traits16. This molecular dialogue is not one-way. Research has revealed that microbes does secrete peptide signals that are detected by plant receptors, a strategy some pathogens use to “hijack endogenous plant signaling pathways” and evade the host immune system. In a remarkable example of co-evolutionary adaptation, plants have also developed countermeasures to this microbial communication16. They can “decipher or even sabotage” QS signals by producing their own “QS mimic molecules” and enzymes, which disrupt microbial communication and can reduce pathogen virulence16. This bidirectional communication is a critical element of the plant-microbe battlefield and represents a dynamic interplay of co-evolved signaling and counter-signaling systems.

TECHNOLOGICAL REVOLUTION: ILLUMINATING THE UNSEEN

The profound discoveries in plant-microbe interactions over the last decade have been driven by a technological revolution, particularly in the field of "omics”18. These high-throughput techniques have provided the means to analyze the community of microbes in relation to their potential functions at an unprecedented scale, moving the field beyond the inherent limitations of traditional culture-based methods, which fail to capture the vast majority of unculturable microorganisms18.

Table 3: Omics toolkit for plant-microbe research
Omics technology Type of data Application in plant-microbe research
Metagenomics Genomic and Transcriptomic
DNA/RNA from entire communities
Reveals unculturable microbial diversity, functional
potential (e.g., nutrient cycling, disease suppression)18
Transcriptomics mRNA expression patterns Shows the dynamic changes in gene expression
during interactions
Proteomics Protein profiles and post-translational
modifications
Identifies essential proteins involved in symbiosis
and immunity20
Metabolomics Small molecule profiles (e.g.,
phytohormones, antioxidants)
Unravels communication signals and plant
defense mechanisms20

Power of omics: A holistic view: Metagenomics has been a particularly transformative tool. By directly sequencing microbial DNA and RNA from environmental samples like soil and plant tissues, researchers can now comprehensively analyze the entire microbial community without the need for cultivation18 Meragenomics provides a high-resolution view of the diversity of microbes, functions, and ecological roles, revealing previously uncharacterized species and their contributions to plant health18.

However, the full power of modern research lies in the integration of multiple omics approaches, a technique known as multi-omics18. While individual omics techniques provide valuable information genomics for genes, transcriptomics for gene expression, proteomics for proteins, and metabolomics for small molecules their integration provides a holistic, systems-level understanding of the complex biological networks at play18. This integrated approach is crucial because, as studies have shown (Table 3), there can be a poor correlation between messenger RNA (mRNA) and protein expression (biological control 2025). Therefore, a joint analysis is necessary to gain a complete picture of the molecular events that govern plant-microbe interactions (biological control 2025).

Case studies in omics-driven discovery: Multi-omics has provided concrete insights into how plants and microbes interact. For example, the integration of multi-omics and bioinformatics has shown that plant-microbe symbiosis in contaminated rhizospheres influences the release of antioxidants and phytohormones, which activate the defense mechanisms in plant19. Similarly, metabolomic analysis of a pathogen-host interaction revealed that the microbe triggered the hyperaccumulation of a specific metabolite, which was found to be responsible for restricting the pathogen’s growth20.

This technological shift has enabled the field to transition from a descriptive science cataloging what is present to a more functional and ultimately predictive discipline. By revealing the intricate biochemical, physiological, and molecular aspects of these interactions, omics approaches are allowing researchers to understand how the plant-microbe ecosystem20. The ultimate goal, supported by the growing use of computational tools like Artificial Intelligence (AI) and machine learning, is to move toward predictive modeling of microbial functions, which is a critical step in translating foundational knowledge into practical agricultural solutions20.

PRACTICAL APPLICATIONS FOR A SUSTAINABLE FUTURE

A key driver of plant-microbe research is the immense potential for its application in sustainable agriculture21. The last decade has focused on harnessing beneficial microorganisms to reduce fertilizer and chemical application to tackle challenges globally, which include climate change and food security21.

Coping with extremes: Microbes in harsh environments: Research has also increasingly focused on the role of plant-associated microbes from extreme environments, or extremophiles, in helping plants survive harsh conditions21. These microbes, found in habitats with high salinity, extreme temperatures, or low pH, have unique properties that enable them to promote plant growth and confer stress tolerance21. For instance, drought-tolerant microbes can protect plants by producing phytohormones like abscisic acid (ABA), which regulates physiological changes to reduce water loss, or by producing bacterial

Table 4: Field trial data for PGPR-based biofertilizers
Crop Location Key conditions PGPR strain(s) Results (compared to control)
Maize Towoomba, South Africa Dry land conditions;
less fertile shortlands soil
UP Strains (T19, T29) Yield increase of 33% (T19)
(T19) and 30% (T29)22
Wheat Riversdale, South Africa Severe desiccation stress (drought) UP Strains, QCM360 Increased plant dry weight22

exopolysaccharides that help retain moisture in the rhizosphere21. A study found that drought conditions enrich the abundance of certain microbes, such as the Streptomyces genus of Actinobacteria, which possess thick cell walls and can form spores, making them resilient to water deficit21. This area of research holds significant potential for developing strategies to improve crop resilience in the face of global climate change21.

Plant Growth-Promoting Rhizobacteria (PGPRs) and biofertilizers: Plant Growth-Promoting Rhizobacteria (PGPRs) are a group of bacteria that are beneficial to plants, colonizing the root of the plant, thereby promoting plant growth through various mechanisms, which may be direct and indirect. These mechanisms include increasing nutrient uptake by mobilizing insoluble nutrients from the soil (Table 4), producing phytohormones (such as indole-3-acetic acid) that stimulate root and shoot growth, and mitigating abiotic stress. PGPRs also provide indirect benefits by acting as biocontrol agents, preventing the growth of phytopathogens through the production of antibiotics or by triggering plant defense programs21.

While PGPR-based biofertilizers have shown great promise in controlled laboratory and greenhouse settings, a significant challenge has been the inconsistency of results in real-world field conditions. A central issue is the intense competition that inoculated PGPR strains face from indigenous soil microbes, which can hinder their ability to establish a stable and long-term colonization of plant roots22.

Nevertheless, specific field trials from 2015 onwards provide compelling data on their effectiveness. In a maize field trial conducted in South Africa, specific PGPR strains resulted in yield increases of up to 33% in less fertile soil compared to the untreated control. This demonstrates that the effectiveness of these biofertilizers is often conditional on environmental factors like soil fertility22. Similarly, a wheat trial conducted under severe desiccation stress showed that all inoculated treatments increased the plant's dry weight compared to the control, indicating that the rhizobacterial treatments were able to mitigate drought stress22. These results, while not universally reproducible, show that PGPRs can be a viable tool for enhancing crop resilience.

Microbial biocontrol agents: A natural defense: Microbial biological control agents (MBCAs) are organisms used to inhibit pathogens of plants23. They represent a natural alternative to conventional chemical pesticides. The MBCAs act through a range of modes of action, which are not mutually exclusive. Some act through direct antagonism, such as hyperparasitism, where the MBCA directly attacks the pathogen, or antibiosis, where it produces allelopathic substances that suppress the growth of pathogens23. Examples include the fungi Trichoderma, which works against a wide range of pathogens like Fusarium, and the bacterium Bacillus subtilis, which effectively suppresses fungal growth23.

Other MBCAs operate indirectly by priming the immune system of the plant, which is referred to as induced systemic resistance (ISR). In this mode, the beneficial microbe triggers an enhanced defensive capacity throughout the entire plant, which makes the plant more resistant to a wide range of pathogens. These induced defense mechanisms involve the plant producing reactive oxygen species, phytoalexins, and other pathogenesis-related proteins23.

UNRESOLVED QUESTIONS AND FUTURE OUTLOOK

Despite the monumental progress of the last decade, fundamental questions persist, which will continue to drive research in the years to come24.

Top unanswered questions: Perhaps the most central and long-standing question in the field is how plants manage to differentiate between beneficial and pathogenic microbes, and subsequently, how they regulate their immunity to accommodate the former while restricting the latter24. This is a particularly puzzling challenge for plants, as a tremendous diversity of microorganisms, both pathogenic and mutualistic, exists in the same environment, and the plant must make a correct and rapid assessment of each24. While dual recognition and other pattern-sensing mechanisms have been proposed, the precise molecular mechanisms behind this discrimination remain largely unexplained24.

Other unresolved issues include fully understanding the intricate interplay between host genetics, microbial community structure, and environmental conditions that ultimately determine the outcome of an interaction whether it results in health or disease24. The complexity of these systems, which are influenced by a myriad of factors and can vary by cell type, organ, and developmental stage, presents a major intellectual and technical challenge for researchers24.

Next-generation research directions: The future of plant-microbe research will be defined by a shift from a descriptive science to a more predictive and engineering-driven discipline25. The advent of multi-omics has provided a holistic view of microbial functions, which is now enabling the next wave of research focused on intentional manipulation and control25.

One major direction is microbiome engineering, the intentional modification of plant-associated microbial communities to enhance specific traits, such as improved stress tolerance or disease suppression25. Researchers are now working to develop new bio-fertilizers and biopesticides by identifying and harnessing beneficial microbes and their functional traits25. This field will be significantly accelerated by the use of computational advancements, including AI and machine learning, which are enabling the predictive modeling of microbial functions and the identification of key microbial consortia with agricultural benefits25.

Furthermore, the discovery of novel evolutionary pathways in plants has opened up the potential for synthetic biology and the creation of “designer enzymes”25. By tracing the genetic and molecular paths plants have taken to perform unique chemical reactions, researchers can now recreate and optimize these processes in a laboratory setting25. The process could lead to the production of new catalysts and bioactive compounds that can modulate plant-microbe interactions with high precision26.

Finally, the increasing use of “pan-omics” the combination of pan-genomics, pan-transcriptomics, pan-proteomics, and pan-metabolomics (Table 3) will be crucial for accounting for the genetic and functional variation that exists across different plant accessions and their associated microbiomes26. This comprehensive, systems-level approach is necessary to develop more resilient crop varieties that can withstand the complex abiotic and biotic stresses of a rapidly changing global climate27.

CONCLUSION

Research conducted from 2015 to 2025 has fundamentally reshaped the understanding of plant-microbe interactions by establishing the plant holobiont as a central biological and ecological unit. Advances in molecular signaling and multi-omics approaches have revealed that plant fitness and productivity are governed by highly coordinated, bidirectional communication with associated microbial communities. Although PGPR-based biofertilizers and microbial biocontrol agents show strong potential, inconsistent field performance remains a major limitation. Integrating systems biology, synthetic microbiology, and predictive modeling is essential to translate laboratory insights into stable, field-ready agricultural solutions. Collectively, these developments position plant–microbe research as a cornerstone of sustainable and climate-resilient agriculture.

SIGNIFICANCE STATEMENT

This review provides a decade-scale synthesis of key conceptual, molecular, and technological advances in plant microbe interaction research, emphasizing the transition from reductionist studies to a holistic holobiont framework. By consolidating evidence from multi-omics, molecular signaling, and applied microbiome studies, it highlights how microbial communities can be strategically leveraged to enhance crop productivity and stress tolerance. The analysis underscores current limitations in field translation and identifies microbiome engineering and computational prediction as critical future directions. These insights are highly relevant for researchers, agronomists, and policymakers aiming to develop sustainable, biologically driven agricultural systems under changing environmental conditions.

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How to Cite this paper?


APA-7 Style
Ekundayo, O.K., Ayesa, A.S., Ajayi, I.I., Afolalu, D.D., Yusuf, A.M. (2026). Next Frontier: A Decade of Progress in Unraveling the Complexity of Plant-Microbe Interactions (2015-2025). Trends in Environmental Sciences, 2(1), 69-77. https://doi.org/10.21124/tes.2026.69.77

ACS Style
Ekundayo, O.K.; Ayesa, A.S.; Ajayi, I.I.; Afolalu, D.D.; Yusuf, A.M. Next Frontier: A Decade of Progress in Unraveling the Complexity of Plant-Microbe Interactions (2015-2025). Trends Env. Sci 2026, 2, 69-77. https://doi.org/10.21124/tes.2026.69.77

AMA Style
Ekundayo OK, Ayesa AS, Ajayi II, Afolalu DD, Yusuf AM. Next Frontier: A Decade of Progress in Unraveling the Complexity of Plant-Microbe Interactions (2015-2025). Trends in Environmental Sciences. 2026; 2(1): 69-77. https://doi.org/10.21124/tes.2026.69.77

Chicago/Turabian Style
Ekundayo, Olajumoke, Kemi, Abayomi Samuel, Ayesa, Isaac Iseoluwa Ajayi, Damilola Deborah Afolalu, and Adedoyin M. Yusuf. 2026. "Next Frontier: A Decade of Progress in Unraveling the Complexity of Plant-Microbe Interactions (2015-2025)" Trends in Environmental Sciences 2, no. 1: 69-77. https://doi.org/10.21124/tes.2026.69.77