Scinovex
article Open Access

Bioprospecting secondary metabolites from forest trees: Ecological roles, molecular regulation, and sustainable applications

International Journal of Advanced Biochemistry Research · 2026 · Vol. 10(2S) · pp. 962–972

Abstract

Plant secondary metabolites (PSMs) are structurally diverse specialized compounds that mediate plant-environment interactions and play central roles in defense, communication, competition, and stress adaptation. Forest trees, characterized by long lifespans and complex ecological interactions, possess particularly rich and distinctive metabolite profiles, yet remain comparatively underexplored relative to agricultural species. This review synthesizes current advances in the bioprospecting of PSMs from forestry species, integrating knowledge of their major classes, biosynthetic pathways, regulatory mechanisms, and ecological functions. It further highlights recent progress in analytical, metabolomic, and genomic approaches that enable discovery, characterization, and functional interpretation of these compounds. Emerging applications in sustainable forestry are discussed, including plant-derived pest management agents, metabolite-based selection of stress-resilient genotypes, ecological restoration strategies, and the valorization of forest biomass for industrial and pharmaceutical uses. Key challenges such as limited chemodiversity exploration, scalability constraints, data integration, and ethical considerations are also outlined, together with future research priorities emphasizing multi-omics integration, sustainable production systems, and interdisciplinary collaboration. Overall, forest-derived secondary metabolites represent a critical interface between ecological function and applied innovation, offering substantial potential for advancing sustainable forestry and bio-based economies.

Full Text

Tables and figures are in the full-text PDF.

Introduction

Plants are master chemists capable of synthesizing an extraordinary diversity of organic compounds not directly required for basic growth and development, collectively termed plant secondary metabolites (PSMs) (Fraenkel, 1959) [25] . Unlike primary metabolites essential for cellular maintenance, PSMs function as dynamic biochemical mediators that regulate plant interactions with their biotic and abiotic environment, forming a critical interface for defense, competition, signaling, and adaptation (Hartmann, 2007; Erb & Kliebenstein, 2020) [35,21] . The global scale of plant chemodiversity is extraordinary, with estimates exceeding 200,000 distinct metabolites distributed across plant taxa, reflecting evolutionary innovation driven by ecological pressures (Afendi et al., 2012) [3] . Major groups such as terpenoids, phenolics, and alkaloids contribute to herbivore and pathogen resistance, competitive interactions, and tolerance to abiotic stress, thereby shaping plant fitness and ecosystem functioning (Harborne, 1993; Züst & Agrawal, 2024) [34,81] . Recent advances in genomics and epigenetics further demonstrate that secondary metabolite biosynthesis is dynamically regulated by environmental cues and genetic architecture, underscoring their adaptive significance (Boycheva et al., 2024) [11] . Despite substantial progress in model and crop plants, forest trees remain comparatively underexplored sources of specialized metabolites, representing a major gap given their ecological dominance and evolutionary longevity (Theis & Lerdau). Long life spans and continuous exposure to herbivores, pathogens, and climatic variability have driven trees to evolve sophisticated chemical defense systems and structurally unique metabolites, particularly evident in conifers and other woody taxa (Keeling & Bohlmann, 2006; Whitehill et al., 2023) [43,74] . These chemical traits are increasingly relevant in the context of global environmental change, which is intensifying pest outbreaks and stress pressures on forest ecosystems while simultaneously driving demand for renewable bio-based resources (Jansson et al., 2021; Kessler & Kalske, 2025) [41,45] . Advances in analytical technologies, including high-resolution metabolomics and spatially resolved chemical imaging, now enable precise characterization and localization of metabolites within plant tissues, accelerating discovery and functional interpretation (Wolfender et al., 2019; Dong et al., 2024) [77,18] . Understanding the ecological functions of PSMs provides the conceptual basis for their translational application in forestry. Naturally occurring defensive compounds can be harnessed as eco-friendly pest management agents, while durable heartwood extractives that confer decay resistance offer models for sustainable wood protection strategies (Mithöfer & Boland, Salem & Böhm, 2022) [61] . Accordingly, this review synthesizes current knowledge on the bioprospecting of plant secondary metabolites from forest species by integrating insights into their diversity and biosynthesis, examining their ecological roles in forest ecosystems, outlining modern approaches for their identification and functional analysis, and evaluating their potential applications in sustainable forestry and environmental management.

Classification and biosynthesis of secondary metabolites

A fundamental understanding of the chemical diversity and biosynthetic origins of plant secondary metabolites (PSMs) is essential before exploring their ecological roles and applications. This section provides an overview of the major classes of PSMs found in forest trees, outlines the primary biosynthetic pathways responsible for their production, and discusses the key genetic and environmental factors that regulate their accumulation (Fig 1).

Major classes of secondary metabolites 2.1.1 Alkaloids:

Alkaloids constitute a structurally diverse group of nitrogen-containing compounds typically derived from amino acids such as lysine, tyrosine, and tryptophan (Ziegler & Facchini, 2008). These metabolites often exhibit potent biological activity, particularly against herbivores, because many target nervous system receptors or metabolic enzymes. In woody plants and forest-associated taxa, alkaloids frequently function as feeding deterrents or toxins, illustrating their defensive significance in long-lived species (Wink, 2018) [76] .

Terpenoids (Isoprenoids)

Terpenoids represent the largest class of plant secondary metabolites, with tens of thousands of known structures derived from the universal C5 precursors isopentenyl diphosphate and dimethylallyl diphosphate (Gershenzon & Dudareva, 2007) [27] . They are classified according to the number of isoprene units (e.g., mono-, sesqui-, di-, and triterpenes). In forest ecosystems, terpenoids play especially prominent roles; for example, conifer oleoresin contains monoterpenes and diterpenes that repel bark beetles, inhibit pathogens, and seal wounds, thereby providing both chemical and physical defense (Keeling & Bohlmann, 2006; Whitehill et al., 2023) [43,74] .

Phenolics and flavonoids

Phenolic compounds are characterized by aromatic rings bearing hydroxyl groups and range from simple phenolic acids to complex polymers such as lignin (Cheynier et al).

Flavonoids, a major phenolic subclass, contribute to pigmentation, UV protection, and pathogen defense, while also mediating ecological interactions with pollinators and dispersers (Ferreyra et al., 2021) [22] . In trees, polymeric flavonoids such as condensed tannins accumulate in bark and foliage, where they reduce palatability and inhibit herbivory.

Saponins and glycosides

Saponins are glycosylated metabolites, usually triterpenoid or steroid derivatives, known for their membrane-disrupting properties and broad antimicrobial activity (Augustin et al).

Many other secondary metabolites also occur as glycosides, where attachment of sugar moieties modifies stability, solubility, transport, and toxicity. Such glycosylation can act as a reversible activation mechanism triggered by tissue damage or herbivory (Morant et al., 2008) [52] .

Tannins and lignans

Tannins and lignans represent structurally complex phenolic derivatives with major ecological importance in forest systems. Tannins influence litter decomposition rates and nutrient cycling by binding proteins and inhibiting microbial enzymes, thereby shaping soil processes and ecosystem productivity (Hättenschwiler & Vitousek, 2000) [36] . Lignans, formed by oxidative coupling of phenylpropanoid units, accumulate in woody tissues where they enhance resistance to fungal decay and contribute to heartwood durability (Suzuki & Umezawa, 2007) [67] .

Biosynthetic pathways of secondary metabolites

Although structurally diverse, most secondary metabolites originate from a relatively small set of conserved biosynthetic routes that redirect primary metabolic intermediates into specialized pathways.

The shikimate pathway

The shikimate pathway generates aromatic amino acids phenylalanine, tyrosine, and tryptophan which serve as precursors for numerous phenolics, alkaloids, and lignin polymers (Maeda & Dudareva, 2012) [49] . A key regulatory step is catalyzed by phenylalanine ammonia-lyase (PAL), which converts phenylalanine into cinnamic acid, initiating phenylpropanoid biosynthesis.

The MVA and MEP isoprenoid pathways

Terpenoid formation depends on two compartmentalized pathways that produce the same universal precursors. [33] . Regulation of these pathways occurs through coordinated transcriptional control, where transcription factors such as MYB, bHLH, and WRKY regulate multiple biosynthetic genes simultaneously, allowing plants to rapidly adjust metabolite production in response to developmental or environmental stimuli (Patra et al., 2013; Erb & Kliebenstein, 2020) [57,21] .

2.3

Factors influencing secondary metabolite biosynthesis The accumulation of PSMs is not static but reflects a dynamic interaction between genetic programming, developmental processes, and environmental conditions.

Genetic and developmental regulation

The capacity to synthesize specific metabolites is genetically encoded, defining species-specific chemical profiles. Variation within species often produces distinct chemotypes that differ in metabolite composition and abundance (Moore et al). Developmental stage further influences metabolite allocation: young tissues commonly exhibit higher concentrations of defensive compounds, whereas specialized tissues such as heartwood accumulate extractives including tannins, lignans, and terpenoids that confer long-term structural protection and decay resistance (Taylor et al., 2002) [69] .

Environmental modulation

Environmental factors exert strong influence on secondary metabolism. Light intensity and UV radiation commonly stimulate phenolic and flavonoid production, enhancing photoprotection, whereas drought and salinity stress can increase synthesis of protective metabolites that mitigate oxidative damage (Selmar & Kleinwächter, 2013; Züst & Agrawal, 2024) [64,81] . Such stress-induced metabolic plasticity is particularly relevant for forestry applications because controlled environmental manipulation can enhance yields of valuable compounds. Integrative approaches combining metabolomics, transcriptomics, and ecological analyses are increasingly used to unravel these complex regulatory networks and to optimize metabolite production (Erb & Kliebenstein, 2020) [21] .

Ecological roles of plant secondary metabolites in forest ecosystems

The extraordinary diversity of plant secondary metabolites (PSMs) reflects millions of years of evolutionary refinement that has shaped these compounds into precise biochemical tools mediating plant interactions with their environment. In forest ecosystems, where trees must survive for decades or centuries while exposed to persistent biotic and abiotic pressures, chemical strategies are particularly critical. Rather than serving a single function, PSMs operate as multifunctional mediators linking plant physiology with ecological processes such as defense, communication, competition, stress tolerance, and symbiosis. Understanding these ecological roles is essential for interpreting the adaptive significance of secondary metabolism in forestry species and for identifying compounds with potential applied value.

Defense against herbivores and pathogens 3.1.1 Antifeedant, toxic, and deterrent functions

The most widely recognized ecological role of PSMs in forest trees is defense against herbivores and pathogens.

Long-lived woody plants have evolved complex chemical arsenals that deter feeding, reduce digestibility, or directly poison attackers. Alkaloids, phenolics, and terpenoids frequently act as antifeedants or toxins; for example, quinolizidine alkaloids present in certain leguminous trees deter herbivory through bitterness and neurotoxicity (Wink, 2018) [76] . A classic forestry example is conifer oleoresin, a terpene-rich secretion released upon bark beetle attack. This resin simultaneously seals wounds, traps invading insects, and delivers volatile toxins and antifungal diterpenes that inhibit associated pathogens (Keeling & Bohlmann, 2006; Whitehill et al., 2023) [43,74] . Similarly, condensed tannins in oak leaves reduce herbivore performance by binding dietary proteins and digestive enzymes (Salminen & Karonen, 2011) [62] .

Constitutive and induced chemical defense systems

Tree defenses may be constitutive or inducible. Constitutive defences such as stored resins, phenolic-rich bark, or lignified tissues provide immediate protection, whereas inducible defenses are activated only after attack, reducing metabolic costs (Mithöfer & Boland). Induction is controlled by complex phytohormone signaling networks. Jasmonic acid (JA) regulates responses to chewing insects and necrotrophic pathogens, while salicylic acid (SA) mediates resistance to biotrophic pathogens, and ethylene (ET) modulates both pathways through synergistic or antagonistic interactions (Howe & Jander, 2008; Pieterse et al., 2012) [38,59] . Genomic studies in forest genera such as Populus demonstrate that these signaling networks are conserved yet flexible, enabling species-specific defensive strategies shaped by ecological context (Jansson et al., 2021) [41] .

Plant-pollinator and seed disperser interactions

Although defense is critical, many PSMs facilitate beneficial ecological interactions necessary for reproduction. Forest trees often depend on animals for pollination and seed dispersal, and these interactions are largely mediated by volatile secondary metabolites. Floral volatile organic compounds (VOCs) including terpenes, benzenoids, and phenylpropanoids serve as long-distance attractants guiding pollinators to reproductive structures (Raguso). Specific scent blends can promote pollinator fidelity and specialization, thereby enhancing reproductive success and contributing to plant diversification. Likewise, volatile compounds emitted by ripe fruits signal nutritional rewards to frugivores, ensuring effective seed dispersal (Rodríguez et al., 2013) [55] . The evolution of these signals illustrates a key principle of chemical ecology: the same metabolites that deter antagonists may simultaneously attract mutualists, depending on concentration, context, and receiver perception (Kessler & Kalske, 2025) [45] .

Allelopathy and competitive interactions

Forest trees compete intensely for resources such as light, water, and nutrients, and many employ chemical interference as a competitive strategy. Allelopathy involves the release of metabolites that inhibit neighboring plant growth through volatilization, litter leachates, or root exudates. A classic example is black walnut (Juglans nigra), which releases the naphthoquinone juglone from roots and litter, suppressing sensitive understory species (Willis, 2000) [75] . Similarly, monoterpenes from conifer litter and phenolic-rich residues from Eucalyptus species can inhibit seed germination and alter soil microbial communities, influencing forest succession and community composition (Zhang et al., 2010; Hättenschwiler & Vitousek, 2000) [79,36] . Such chemically mediated competition is increasingly recognized as a major driver of plant community dynamics in forest ecosystems.

Adaptation to abiotic stress

In addition to biotic interactions, PSMs contribute to tree survival under environmental stress. Abiotic stresses such as drought, high light, salinity, and temperature extremes often trigger oxidative stress through accumulation of reactive oxygen species. Many phenolics and flavonoids act as antioxidants that scavenge these molecules and stabilize cellular structures (Agati et al., 2012) [4] . Flavonoids can also function as UV filters, accumulating in epidermal tissues to absorb harmful radiation while allowing photosynthetically active light to penetrate (Ferreyra et al., 2021) [22] . Under drought or salinity stress, plants frequently increase production of protective metabolites that stabilize membranes and proteins, enhancing tolerance (Selmar & Kleinwächter, 2013) [64] . Volatile isoprenoids such as isoprene and monoterpenes further protect photosynthetic membranes against thermal and oxidative damage, highlighting their importance under climate warming scenarios (Sharkey & Monson). The capacity of trees to dynamically adjust their metabolite profiles under stress is therefore a key determinant of resilience (Züst & Agrawal, 2024) [81] .

Symbiotic interactions and chemical communication

Beyond defense and competition, secondary metabolites mediate beneficial symbioses that are fundamental to forest ecosystem functioning. Most tree species form associations with mycorrhizal fungi that enhance nutrient and water uptake. Establishment of these symbioses depends on chemical signaling; for example, root-secreted strigolactones stimulate hyphal branching in arbuscular mycorrhizal fungi, facilitating colonization (Akiyama et al., 2005) [5] . Similarly, flavonoids released by leguminous trees induce nodulation genes in rhizobia, initiating nitrogenfixing symbiosis (Oldroyd). Root exudates also contain complex mixtures of metabolites that shape rhizosphere microbial communities, selectively promoting beneficial microorganisms while suppressing pathogens (Bais et al., 2006) [8] . Advances in spatial metabolomics now allow visualization of these compounds within plant tissues, providing new insights into how chemical signals structure plant-microbe interactions (Dong et al., 2024) [18] .

4.

Analytical techniques for isolation and characterization

The progression from understanding the ecological roles of plant secondary metabolites (PSMs) to harnessing their potential applications relies critically on robust analytical methodologies. The ability to efficiently extract, purify, and structurally characterize these compounds is fundamental to bioprospecting from forest species. This section provides an overview of the key techniques employed in PSM analysis, from classical extraction methods to cutting-edge metabolomics and chemoinformatics approaches, with an emphasis on their application to woody plant material.

Extraction and purification strategies 4.1.1 Conventional solvent-based extraction

Extraction is the foundational step determining metabolite recovery and integrity. Traditional solvent extraction remains widely used because solvent polarity can be tailored to target specific metabolite classes. Nonpolar solvents efficiently extract lipophilic compounds such as terpenoids, whereas polar solvents are more suitable for phenolics, alkaloids, and glycosides (Azmir et al., 2013) [7] . Soxhlet extraction, which repeatedly cycles solvent through plant material, is often employed as a reference method due to its high efficiency, although it is time-consuming and solventintensive (López-Bascón & De Castro, 2020) [48] .

Supercritical fluid extraction

Supercritical CO₂ extraction represents an advanced alternative that combines gas-like diffusion with liquid-like solvation capacity, enabling efficient extraction of volatile and thermolabile compounds (Herrero et al., 2006) [37] . Because CO₂ evaporates after depressurization, extracts are solvent-free, making this method particularly valuable for isolating terpenoids and essential oils from forest biomass.

Green and intensified extraction technologies

To improve sustainability and efficiency, several environmentally friendly extraction approaches have been developed. Microwave-assisted extraction and ultrasoundassisted extraction enhance cell disruption and mass transfer, reducing processing time and solvent usage (Chenat et al., 2020; Kumar et al., 2021) [14,46] . Pressurized liquid extraction further improves recovery by maintaining solvents in a liquid state at elevated temperature and pressure (Nieto et al., 2023) [55] . Such methods are especially relevant for forestry applications requiring large-scale processing of plant material (Salem & Böhm, 2022) [61] .

Chromatographic separation techniques 4.2.1 Liquid chromatography systems

High-performance liquid chromatography (HPLC) is the principal separation technique for nonvolatile or thermally unstable metabolites, including flavonoids, alkaloids, and saponins (Sasidharan et al). Advances in ultra-highperformance liquid chromatography (UHPLC) have improved resolution and sensitivity, enabling faster and more precise metabolite profiling (Guillarme & Veuthey, 2022) [31] .

Gas chromatography for volatile metabolites

Gas chromatography (GC) is ideally suited for volatile and semi-volatile compounds such as monoterpenes and sesquiterpenes characteristic of conifer resins and floral emissions. Its high resolving power and reproducibility make it a standard method for profiling volatile metabolites in forest species (Adams, 2017; Keeling & Bohlmann, 2006) [2, 43] .

Hyphenated chromatographic techniques

Coupling chromatography with mass spectrometry has transformed natural product analysis. LC-MS and GC-MS systems allow simultaneous separation, detection, and tentative identification of metabolites within complex extracts, greatly enhancing analytical efficiency (Wolfender et al., 2019) [77] . High-resolution mass analyzers provide accurate mass measurements that facilitate molecular formula determination and trace-level detection (Forcisi et al., 2021) [24] .

Preparative chromatography

For compound isolation, preparative techniques such as preparative thin-layer chromatography or preparative HPLC enable purification of individual metabolites for structural analysis or bioactivity testing (Sasidharan et al).

Spectroscopic and spectrometric characterization 4.3.1 Nuclear Magnetic Resonance (NMR) spectroscopy

NMR spectroscopy is the most definitive technique for structural elucidation because it reveals detailed information about molecular connectivity, stereochemistry, and functional groups. One-and two-dimensional experiments allow complete structural determination, and recent microscale methods have reduced sample requirements (Claridge, 2016; Molinski, 2022) [16,51] .

Mass spectrometry and fragmentation analysis

Mass spectrometry provides molecular mass and elemental composition, while tandem MS generates diagnostic fragmentation patterns that serve as structural fingerprints for compound identification (Dunn et al., 2021) [19] .

Vibrational and electronic spectroscopy

Complementary methods such as Fourier-transform infrared spectroscopy identify functional groups based on characteristic vibrational bands (Griffiths & De Haseth, 2007), whereas UV-visible spectroscopy detects conjugated systems typical of phenolics and flavonoids and can be used for quantitative analysis (Mabry et al).

Metabolomics and computational approaches 4.4.1 Untargeted metabolite profiling

Modern phytochemical research increasingly employs untargeted metabolomics, which aims to detect as many metabolites as possible in a sample, providing a comprehensive chemical fingerprint (Fiehn, 2002) [23] . Using high-resolution LC-MS or GC-MS platforms, this approach allows comparison of metabolite profiles across species, tissues, or environmental conditions, facilitating discovery of novel compounds (Wolfender et al., 2019) [77] .

Molecular networking and data visualization

Molecular networking organizes MS/MS spectra based on structural similarity, grouping related metabolites into clusters and enabling rapid identification of known compounds while highlighting novel candidates (Wang et al., 2016) [71] .

Spectral databases and chemoinformatics

Databases such as METLIN and KNApSAcK provide curated spectral and metabolite-species information that accelerates compound annotation and dereplication (Afendi et al., 2012; Guijas et al., 2018) [3,30] . Integration of these resources with computational tools allows prediction of chemical properties, biosynthetic relationships, and potential bioactivity, transforming phytochemical analysis into a datadriven discipline (Kessler & Kalske, 2025) [45] .

Molecular and genomic insights

The remarkable diversity and ecological specificity of plant secondary metabolites (PSMs) are ultimately rooted in the genome. Understanding the genes, enzymes, and regulatory networks that govern PSM biosynthesis is essential for harnessing their potential in forestry applications. Recent advances in genomics, transcriptomics, and other omics technologies have provided unprecedented insights into the molecular machinery underlying chemical diversity in forest trees. This section explores the key gene families involved in PSM biosynthesis, the transcriptional networks that regulate their expression, and the integration of multi-omics approaches to understand how trees deploy their chemical arsenals in response to environmental challenges (Table 01).

Gene families underlying secondary metabolite biosynthesis

Secondary metabolite production is driven by specialized enzyme systems belonging to large multigene families whose diversification is a major source of plant chemodiversity (Pichersky & Gang, 2000; Boycheva et al., 2024) [58,11] .

Cytochrome P450 monooxygenases

Cytochrome P450 enzymes constitute one of the most versatile catalytic systems in plants, performing oxidative transformations that generate structural complexity and biological activity in specialized metabolites (Hamberger & Bak, 2013) [33] . These enzymes participate in phenylpropanoid, alkaloid, and terpenoid pathways and are particularly important in trees for lignin formation, tannin synthesis, and resin acid biosynthesis (Keeling & Bohlmann, 2006) [74] . Expansion of lineage-specific P450 subfamilies is common in forest species; for instance, members of the CYP720B clade catalyze successive oxidation steps in conifer diterpene resin acid biosynthesis (Whitehill et al., 2023) [43] . The genome of Populus trichocarpa alone encodes hundreds of P450 genes, reflecting the metabolic complexity of long-lived woody plants (Nelson & Werck-Reichhart).

Terpene synthases

Terpene synthases (TPSs) generate the structural backbone of terpenoid diversity by cyclizing prenyl diphosphate substrates into diverse terpene skeletons (Chen et al., 2011) [13] . Conifers possess large TPS gene families, particularly within the TPS-d subfamily, which produces monoterpenes, sesquiterpenes, and diterpenes constituting oleoresin defenses (Keeling & Bohlmann, 2006) [43] . The Norway spruce genome contains dozens of TPS genes, enabling production of complex terpene blends that deter herbivores and pathogens (Warren et al., 2021) [72] .

Glycosyltransferases

UDP-glycosyltransferases (UGTs) catalyze glycosylation reactions that modify solubility, stability, storage, and bioactivity of specialized metabolites (Bowles et al., 2006) [10] . Glycosylated forms of phenolics, cyanogenic compounds, and terpenoids often function as inactive storage forms that are rapidly activated upon herbivore attack (Morant et al., 2008) [52] . Large UGT gene families in trees such as Populus underscore the importance of glycosylation in regulating metabolite accumulation across tissues and developmental stages (Louveau & Osbourn, 2019) [47] . [83] Juglans spp. (Walnut)

Phenolics (naphthoquinones)

Juglone Allelopathy; defense against herbivores and pathogens Willis, 2000 [75] Taxus spp. (Yew) Alkaloids (taxane diterpenoids) Paclitaxel (Taxol®) Defense against herbivores and pathogens Croteau et al., 2006 [17] Betula spp.

Transcriptional regulation and signaling networks 5.2.1 Master transcription factor families

Biosynthetic genes are coordinated by transcription factors that regulate entire pathways rather than individual enzymes (Patra et al., 2013) [57] . Among the most important regulators:

• MYB proteins control phenylpropanoid metabolism, including lignin, flavonoid, and tannin biosynthesis (Liu et al., 2015) [47] . In poplar, MYB134 regulates proanthocyanidin synthesis in response to stress (Mellway et al., 2009) [50] . • bHLH factors frequently partner with MYB and WD40 proteins to form regulatory complexes controlling anthocyanins and tannins (Xu et al., 2015) [

• WRKY proteins integrate stress signaling with defense metabolite production and are strongly induced by pathogens and herbivores (Rushton et al., 2010) [60] .

Hormonal crosstalk in metabolic regulation

Transcriptional control is tightly linked to phytohormone signaling. Jasmonic acid regulates defense responses against herbivores, salicylic acid mediates pathogen resistance, and ethylene and abscisic acid modulate stress responses (Karthik et [42,38,59] . Crosstalk among these pathways enables trees to tailor metabolite production to specific environmental threats. Transcriptomic studies in conifers show that insect attack rapidly activates hundreds of biosynthetic genes and transcription factors involved in terpene and phenolic pathways (Whitehill et al., 2023) [74] . [70,53,56,54] (table 2).

Multi-omics integration in

Transcriptomics

RNA-seq enables identification of genes induced during stress or development. Correlating transcript abundance with metabolite profiles allows discovery of candidate biosynthetic genes. For example, transcriptome analysis of Sitka spruce identified terpene synthase genes associated with induced resin production (Hall et al., 2011) [32] .

Proteomics and metabolomics integration

Transcript levels do not always predict enzyme abundance or metabolite accumulation due to post-transcriptional regulation. Integrative multi-omics approaches combine transcriptomic, proteomic, and metabolomic data to construct functional metabolic networks (Fernie & Stitt). In Populus, integrated analyses have revealed coordinated shifts in phenylpropanoid metabolism during drought stress, illustrating how environmental cues reshape chemical pathways (Barros et al., 2022) [9] . Such systems-level approaches are emerging as powerful tools for identifying genetic determinants of metabolite traits relevant to forestry improvement (Boycheva et al., 2024) [11] (table 2). [32,74] Populus trichocarpa (Black cottonwood)

MYB transcription factors (MYB134, MYB115)

Regulators of condensed tannin biosynthesis activated by wounding and herbivory

Improving constitutive and inducible phenolic defenses in plantation and bioenergy trees Mellway et al.,

2009 [50] Populus tremula × alba (Hybrid aspen)

Hormonal signaling (JA pathway)

Jasmonate signaling required for induced phenolic glycoside accumulation and resistance to herbivores

Basis for hormone-mediated pest resistance strategies in forestry Ehrlich et al., 2023 [20] Eucalyptus grandis Terpene synthase (TPS) gene family

Genome-wide expansion of TPS genes; cineole synthase genes identified Breeding for enhanced essential oil production, pest resistance, and pharmaceuticals

Myburg et al., 2014; Goodger et al., 2022 [53,28] Pinus taeda (Loblolly pine) Multi-omics integration (genomics, transcriptomics, metabolomics)

QTL-transcript-metabolite integration identified loci controlling resin composition and yield Genomic selection for improved oleoresin production and defense traits Westbrook et al., 2020 [73] Vitis vinifera (Grapevine*)

WRKY and MYB regulators of stilbene pathway

Coordinated transcriptional regulation of stilbene phytoalexins during pathogen attack

Model system for defense metabolite regulation relevant to woody perennials Vannozzi et al., 2018 [84]

Applications in forestry and sustainable agriculture

The diversity, ecological relevance, and molecular regulation of plant secondary metabolites (PSMs) collectively position forest trees as a rich resource for sustainable technologies and bio-based innovations. Insights into metabolite biosynthesis, ecological function, and genetic control now enable translation of fundamental knowledge into applied forestry solutions. Bioprospecting of tree-derived metabolites supports environmentally compatible pest management, climate-resilient breeding programs, ecosystem restoration strategies, and industrial bioproduct development. The following sections synthesize current and emerging applications of PSMs across forestry and allied sectors.

Natural product-based pest and disease management

Concerns regarding pesticide resistance, environmental contamination, and non-target toxicity have stimulated interest in plant-derived pest control agents. Secondary metabolites evolved as natural defense compounds represent a promising alternative to synthetic pesticides (Isman, 2006; Salem & Böhm, 2022) [39] (table 3).

Botanical biopesticides

Plant-derived biopesticides include crude extracts, purified compounds, and essential oils. A widely recognized example is neem (Azadirachta indica), whose limonoid azadirachtin functions as an antifeedant, growth inhibitor, and reproductive disruptor against numerous insect pests (Schmutterer, 1990) [63] . Essential oils from conifers and Eucalyptus species, rich in mono-and sesquiterpenes, exhibit insecticidal and repellent properties effective against bark beetles, defoliators, and aphids (Isman, 2020; Långström & Day, 2022) [39,85] . Their complex chemical composition often results in multi-target activity, which may reduce the likelihood of resistance development compared with single-compound pesticides (Isman, 2006) [39] .

Antifungal compounds for disease control

Forest pathogens cause substantial economic losses in plantations and nurseries. Many tree-derived metabolites function as natural antifungal agents. Heartwood extractives, including tropolones, lignans, and tannins, provide intrinsic decay resistance and have been investigated as eco-friendly wood preservatives (Taylor et al., 2002; Singh & Singh, 2012) [69,66] . Stilbenes synthesized by conifers in response to infection act as phytoalexins with strong antifungal activity and are being explored for nursery protection and plant health formulations (Chong et al., 2009; Salem & Böhm, 2022) [15,61] .

Stress-resilient forest tree improvement

Climate change is intensifying abiotic and biotic stress pressures on forest ecosystems, making resilience a major breeding target. Because PSMs are directly involved in stress responses, their profiles can serve as functional biochemical markers for selecting tolerant genotypes.

Metabolites as biomarkers for stress tolerance

Metabolite-assisted breeding integrates metabolomic data into selection programs to identify stress-resilient individuals (Fernie & Schauer). For example, enhanced flavonoid and proanthocyanidin accumulation in Populus has been linked to drought tolerance through antioxidant activity (Barros et al., 2022) [9] . Similarly, constitutive resin production and specific terpene profiles in conifers correlate with resistance to bark beetles and other pests, supporting their use as selection criteria in breeding programs for species such as Pinus taeda (Westbrook et al., 2020) [73] . Integrating metabolomic and genomic data is expected to improve predictive breeding models for forestry species (Jansson et al., 2021; Moran et al., 2024) [51,52] .

Ecological restoration and soil health

Secondary metabolites influence not only individual plant defense but also ecosystem-level processes such as species interactions, soil chemistry, and microbial community composition.

Allelopathic vegetation management

Allelopathic trees can be strategically deployed to suppress invasive plants or manage competing vegetation in restoration projects. Chemical compounds released through litter, roots, or volatiles may inhibit germination or growth of neighboring plants, providing a natural weed control mechanism (Callaway & Ridenour, 2004; Lorenzo et al., 2022) [12,86] . Such approaches must be carefully evaluated to avoid unintended suppression of desirable native species.

Soil processes and nutrient cycling

Phenolic compounds, especially tannins, influence decomposition dynamics and nitrogen cycling by forming stable complexes with proteins and organic matter (Hättenschwiler & Vitousek, 2000; Adamczyk et al., 2021) [36, 1] . Root-derived metabolites also shape rhizosphere microbial communities, selectively promoting beneficial microbes and suppressing pathogens (Bais et al., 2006; Dong et al., 2024) [8,18] . Understanding these interactions can inform species selection and management practices aimed at enhancing soil fertility, carbon sequestration, and ecosystem stability.

Industrial and pharmaceutical prospects

Forest biomass residues including bark, needles, knots, and branches represent abundant renewable feedstocks for extracting high-value metabolites within a circular bioeconomy framework (Keegan et al., 2022) [44] .

Value-added bioproducts from forest biomass

Tree bark, often constituting up to one-fifth of stem volume, is rich in extractives such as polyphenols, tannins, triterpenes, and lignans (Feng et al). These compounds support diverse industrial uses: tannins serve as adhesives and polymer precursors; terpenes are used in solvents, fragrances, and resins; and suberin derivatives contribute to advanced biomaterials and coatings (Gandini et al., 2021; Silvestre & Gandini, 2020; Pizzi, 2021) [26,65,87] . Such valorization strategies enhance economic returns while reducing biomass waste.

Pharmaceutical applications

Forest trees have historically yielded pharmacologically important compounds. The diterpenoid alkaloid paclitaxel, originally isolated from Taxus brevifolia, is a widely used anticancer drug and exemplifies the therapeutic potential of tree metabolites (Croteau et al., 2006) [17] . Numerous other tree-derived compounds, including triterpenes, lignans, and alkaloids, show antimicrobial, anti-inflammatory, and anticancer properties and are currently under investigation for clinical development (Atanasov et al., 2021) [6] . Continued integration of ethnobotanical knowledge with metabolomics-guided discovery is expected to accelerate identification of novel therapeutic molecules. [17,6] 7. Challenges, knowledge gaps, and future perspectives Despite rapid progress in elucidating the diversity, ecological functions, and biosynthetic regulation of plant secondary metabolites (PSMs) in forest trees, significant barriers remain before this knowledge can be fully translated into sustainable applications. These challenges span biological, technological, and socio-economic dimensions and collectively define the research priorities that will shape the next phase of discovery and utilization.

Knowledge gaps in chemodiversity and ecological function

A major limitation is the uneven exploration of tree chemodiversity. While a few model or economically important genera have been intensively studied, the vast majority of tree species particularly those from tropical and subtropical forests remain chemically uncharacterized. This underexplored diversity represents both an opportunity for novel compound discovery and a challenge requiring systematic, strategically guided screening approaches.

Equally important is the limited ecological validation of metabolite function. Many compounds show promising activity in laboratory assays, yet their real-world performance within complex forest ecosystems remains poorly understood. Interactions among multiple metabolites, environmental conditions, and biological communities can profoundly influence efficacy, specificity, and ecological safety. In addition, the role of the tree-associated microbiome in shaping chemical phenotypes is only beginning to be recognized. Endophytes, rhizosphere microbes, and symbiotic fungi may contribute directly or indirectly to metabolite biosynthesis, suggesting that tree chemistry should be viewed as a property of an integrated biological system rather than of the host plant alone.

Technical and translational constraints

Translating metabolite discovery into practical products remains a central bottleneck. Many bioactive compounds occur in low concentrations, making sustainable supply difficult and necessitating alternative production strategies such as cell culture systems, microbial biosynthesis platforms, or endophyte cultivation. Although modern extraction technologies have improved efficiency, scaling these methods for industrial processing of forestry biomass requires further optimization. Product development also faces formulation challenges, since many metabolites are volatile, unstable, or rapidly degraded under field conditions. Furthermore, the integration of multi-omics datasets linking genomic, transcriptomic, proteomic, and metabolomic information remains analytically demanding, and improved computational tools are needed to translate large datasets into predictive biological insight.

Socio-economic and ethical dimensions

Bioprospecting from forest resources operates within complex regulatory and ethical frameworks. Ensuring fair access, equitable benefit-sharing, and respect for traditional knowledge is essential for responsible research and innovation. Intellectual property considerations add further complexity, as balancing open scientific collaboration with commercialization incentives remains challenging. Addressing these issues requires interdisciplinary engagement that integrates legal, social, and policy perspectives alongside biological research.

Strategic directions for future research

Advancing the field will require coordinated efforts across several priority areas: systematic exploration of underinvestigated tree lineages; ecologically realistic validation of metabolite function through field-based experimentation; development of scalable and sustainable production platforms; integration of multi-omics data to model biosynthetic networks; characterization of microbiome contributions to tree chemistry; and innovation in formulation technologies that enhance stability and efficacy. Equally important is the adoption of ethical and transparent research practices that ensure long-term sustainability and equitable participation of source communities.

Conclusion

Plant secondary metabolites from forest trees constitute a vast and evolutionarily refined reservoir of chemical diversity that underpins ecological resilience and offers significant opportunities for sustainable innovation. This review highlights that these compounds, produced through specialized metabolic pathways and tightly regulated genetic networks, mediate critical ecological functions including defense, communication, and stress adaptation, while also providing a foundation for applications in pest management, climate-resilient tree improvement, ecological restoration, and bio-based industries. Advances in omics technologies, analytical chemistry, and bioinformatics have transformed our ability to characterize and utilize these metabolites, enabling integrative approaches that link molecular mechanisms with ecosystem processes and practical forestry solutions. Moving forward, effective bioprospecting will depend on interdisciplinary collaboration, sustainable production strategies, and responsible resource governance, particularly for underexplored tree taxa and their associated microbiomes. Harnessing the biochemical potential of forests thus represents not only a scientific frontier but also a pathway toward resilient ecosystems, green technologies, and a circular bioeconomy grounded in ecological stewardship.

References

  1. Adamczyk B, Simon J, Kitunen V, Adamczyk S, Smolander A. Tannins and their complex interaction with soil organic matter and nitrogen cycling: A review. Forest Ecology and Management. 2021;480:118657.
  2. Adams RP. Identification of essential oil components by gas chromatography/mass spectrometry. 5th ed. Texensis Publishing; 2017.
  3. Afendi FM, Okada T, Yamazaki M, Hirai-Morita A, Nakamura Y, Nakamura K, Saito K. KNApSAcK family databases: Integrated metabolite-plant species databases for multifaceted plant research. Plant and Cell Physiology. 2012;53(2):e1.
  4. Agati G, Azzarello E, Pollastri S, Tattini M. Flavonoids as antioxidants in plants: Location and functional significance. Plant Science. 2012;196:67-76.
  5. Akiyama K, Matsuzaki K, Hayashi H. Plant sesquiterpenes induce hyphal branching in arbuscular mycorrhizal fungi. Nature. 2005;435(7043):824-827.
  6. Atanasov AG, Zotchev SB, Dirsch VM, Supuran CT. Natural products in drug discovery: Advances and opportunities. Nature Reviews Drug Discovery. 2021;20(3):200-216.
  7. Azmir J, Zaidul ISM, Rahman MM, Sharif KM, Mohamed A, Sahena F, Omar AKM. Techniques for extraction of bioactive compounds from plant materials: A review. Journal of Food Engineering. 2013;117(4):426-436.
  8. Bais HP, Weir TL, Perry LG, Gilroy S, Vivanco JM. The role of root exudates in rhizosphere interactions with plants and other organisms. Annual Review of Plant Biology. 2006;57:233-266.
  9. Barros J, Escamilla-Treviño L, Song L, Rao X, SerraniYarce JC, Palacios MD, Dixon RA. Multi-omics analysis reveals the dynamic interplay between primary and secondary metabolism in Populus under drought stress. The Plant Journal. 2022;110(3):678-698.
  10. Bowles D, Lim EK, Poppenberger B, Vaistij FE. Glycosyltransferases of lipophilic small molecules. Annual Review of Plant Biology. 2006;57:567-597.
  11. Boycheva S, Bonini P, Dong Y. Epigenetic regulation of specialized metabolism in plants: New insights from forest trees. Current Opinion in Plant Biology. 2024;78:102567.
  12. Callaway RM, Ridenour WM. Novel weapons: Invasive success and the evolution of increased competitive ability. Frontiers in Ecology and the Environment. 2004;2(8):436-443.
  13. Chen F, Tholl D, Bohlmann J, Pichersky E. The family of terpene synthases in plants. The Plant Journal. 2011;66(1):212-229.
  14. Chenat F, Vian MA, Fabiano-Tixier AS, Nutrizio M, Režek Jambrak A, Munekata PES, Cravotto G. Sustainable and intensified techniques for extraction of natural products. Green Chemistry. 2020;22(8):23252353.
  15. Chong J, Poutaraud A, Hugueney P. Metabolism and roles of stilbenes in plants. Plant Science. 2009;177(3):143-155.
  16. Claridge TDW. High-resolution NMR techniques in organic chemistry. 3rd ed. Elsevier; 2016.
  17. Croteau R, Ketchum RE, Long RM. Taxol biosynthesis and molecular genetics. Phytochemistry Reviews. 2006;5(1):75-97.
  18. Dong Y, Aharoni A, Sattely ES. Spatial metabolomics in plants: Uncovering the chemistry of specialized tissues. Annual Review of Plant Biology. 2024;75:211238.
  19. Dunn WB, Erban A, Weber RJM, Creek DJ, Brown M, Breitling R, Kopka J. Mass appeal: Metabolite identification in metabolomics. Metabolomics. 2021;17(1):1-23.
  20. Ehrlich A, Jäschke A, Gaupels F, Durner J. WRKY23 regulates phenolic glycosides in Populus. New Phytologist. 2023;238(4):1589-1605.
  21. Erb M, Kliebenstein DJ. Plant secondary metabolites as defenses, regulators, and primary metabolites. Plant Physiology. 2020;184(1):39-52.
  22. Ferreyra MLF, Rius SP, Casati P. Flavonoids: Biosynthesis and applications. Frontiers in Plant Science. 2021;12:619.
  23. Fiehn O. Metabolomics-The link between genotypes and phenotypes. Plant Molecular Biology. 2002;48(12):155-171.
  24. Forcisi S, Moritz F, Kanawati B, Tziotis D, Lehmann R, Schmitt-Kopplin P. LC-MS in metabolomics research. Journal of Chromatography A. 2021;1642:462-479.
  25. Fraenkel GS. The raison d'être of secondary plant substances. Science. 1959;129(3361):1466-1470.
  26. Gandini A, Lacerda TM, Carvalho AJ. Monomers from suberin and cutin. Progress in Polymer Science. 2021;114:101362.
  27. Gershenzon J, Dudareva N. The function of terpene natural products. Nature Chemical Biology. 2007;3(7):408-414.
  28. Goodger JQD, Woodrow IE, Heskes AM. Molecular basis of terpene diversity in Eucalyptus. Critical Reviews in Plant Sciences. 2022;41(3):175-199.
  29. Griffiths PR, De Haseth JA. Fourier transform infrared spectrometry. 2nd ed. Wiley; 2007.
  30. Guijas C, Montenegro-Burke JR, Domingo-Almenara X, Palermo A, Warth B, Hermann G, Siuzdak G. METLIN database. Analytical Chemistry. 2018;90(5):3156-3164.
  31. Guillarme D, Veuthey JL. The world of UHPLC. LCGC Europe. 2022;35(2):45-52.
  32. Hall DE, Robert JA, Keeling CI, Domanski D, Quesada AL, Jancsik S, Bohlmann J. Terpene biosynthesis in Sitka spruce. The Plant Journal. 2011;65(6):936-948.
  33. Hamberger B, Bak S. Plant P450s as drivers of chemical diversity. Philosophical Transactions of the Royal Society B. 2013;368:20120426.
  34. Harborne JB. Introduction to ecological biochemistry. 4th ed. Academic Press; 1993.
  35. Hartmann T. From waste products to ecochemicals. Phytochemistry. 2007;68(22-24):2831-2846.
  36. Hättenschwiler S, Vitousek PM. Polyphenols in nutrient cycling. Trends in Ecology & Evolution. 2000;15(6):238-243.
  37. Herrero M, Cifuentes A, Ibañez E. Supercritical fluid extraction. Food Chemistry. 2006;98(1):136-148.
  38. Howe GA, Jander G. Plant immunity to insect herbivores. Annual Review of Plant Biology. 2008;59:41-66.
  39. Isman MB. Botanical insecticides. Annual Review of Entomology. 2006;51:45-66.
  40. Isman MB. Essential oils as bioinsecticides. Phytochemistry Reviews. 2020;19(2):235-247.
  41. Jansson S, Bhalerao RP, Groover AT, editors. The Populus genome and beyond. Springer; 2021.
  42. Karthik KC, Manju Elizabeth P, Santhoshkumar AV, Binu N, Kamalolbavan D, Rocha A, Ashwath MN. Growth modulation in Swietenia macrophylla: Role of salicylic and jasmonic acids in seedling development. International Journal of Advanced Biochemistry Research. 2024;8(11):374-382.
  43. Keeling CI, Bohlmann J. Terpenoid diversity in conifer defense. New Phytologist. 2006;170(4):657-675.
  44. Keegan D, Kretschmer B, Elbersen B, Panoutsou C. Cascading use of woody biomass. Wiley Interdisciplinary Reviews: Energy and Environment. 2022;11(3):e432.
  45. Kessler A, Kalske A. Plant secondary metabolites in a changing world. Trends in Ecology & Evolution. 2025;40(2):115-128.
  46. Kumar K, Srivastav S, Sharanagat VS. Ultrasoundassisted extraction. Ultrasonics Sonochemistry. 2021;70:105118.
  47. Liu J, Osbourn A, Ma P. MYB transcription factors. Molecular Plant. 2015;8(5):689-708.
  48. López-Bascón MA, De Castro ML. Soxhlet extraction. In: Liquid-phase extraction. Elsevier; 2020. p. 327-354.
  49. Maeda H, Dudareva N. The shikimate pathway. Annual Review of Plant Biology. 2012;63:73-105.
  50. Mellway RD, Tran LT, Prouse MB, Campbell MM, Constabel CP. MYB134 regulates proanthocyanidin synthesis. Plant Physiology. 2009;150(2):924-941.
  51. Molinski TF. Microscale NMR methods. Natural Product Reports. 2022;39(3):543-575.
  52. Morant AV, Jørgensen K, Jørgensen B, Dam W, Olsen CE, Møller BL, Bak S. Gene clusters in plant defense metabolism. Phytochemistry Reviews. 2008;7(3):527543.
  53. Myburg AA, Grattapaglia D, Tuskan GA, Hellsten U, Hayes RD, Grimwood J, Schmutz J. The genome of Eucalyptus grandis. Nature. 2014;510:356-362.
  54. Neale DB, Wegrzyn JL, Stevens KA, Zimin AV, Puiu D, Crepeau MW, Langley CH. Genome of loblolly pine. Genome Biology. 2014;15:R59.
  55. Nieto G, Martínez-Zamora L, Peñalver R, Marín-Iniesta F, Taboada-Rodríguez A, López-Gómez A. Pressurized liquid extraction. Foods. 2023;12(4):812.
  56. Nystedt B, Street NR, Wetterbom A, Zuccolo A, Lin YC, Scofield DG, Jansson S. Norway spruce genome. Nature. 2013;497:579-584.
  57. Patra B, Schluttenhofer C, Wu Y, Pattanaik S, Yuan L. Transcriptional regulation of secondary metabolism. Biochimica et Biophysica Acta. 2013;1829(11):12361247.
  58. Pichersky E, Gang DR. Genetics of secondary metabolites. Trends in Plant Science. 2000;5(10):439445.
  59. Pieterse CMJ, Van der Does D, Zamioudis C, LeonReyes A, Van Wees SCM. Hormonal modulation of plant immunity. Annual Review of Cell and Developmental Biology. 2012;28:489-521.
  60. Rushton PJ, Somssich IE, Ringler P, Shen QJ. WRKY transcription factors. Trends in Plant Science. 2010;15(5):247-258.
  61. Salem MZM, Böhm M. Plant extracts as sustainable wood preservatives. Journal of Cleaner Production. 2022;330:129876.
  62. Salminen JP, Karonen M. Chemical ecology of tannins. Functional Ecology. 2011;25(2):325-338.
  63. Schmutterer H. Natural pesticides from neem. Annual Review of Entomology. 1990;35(1):271-297.
  64. Selmar D, Kleinwächter M. Stress enhances synthesis of secondary products. Plant and Cell Physiology. 2013;54(6):817-826.
  65. Silvestre AJD, Gandini A. Terpenes. In: Monomers, polymers and composites from renewable resources. Elsevier; 2020. p. 17-38.
  66. Singh T, Singh AP. Natural products as wood protectants. Wood Science and Technology. 2012;46(5):851-870.
  67. Suzuki S, Umezawa T. Biosynthesis of lignans. Journal of Wood Science. 2007;53(4):273-284.
  68. Taipale HT, Julkunen-Tiitto R, Rousi M. Variation in birch secondary metabolites. Journal of Chemical Ecology. 2021;47(4):389-405.
  69. Taylor AM, Gartner BL, Morrell JJ. Heartwood formation and durability. Wood and Fiber Science. 2002;34(4):587-611.
  70. Tuskan GA, Difazio S, Jansson S, Bohlmann J, Grigoriev I, Hellsten U, Rokhsar D. Genome of Populus trichocarpa. Science. 2006;313:1596-1604.
  71. Wang M, Carver JJ, Phelan VV, Sanchez LM, Garg N, Peng Y, Bandeira N. GNPS platform. Nature Biotechnology. 2016;34(8):828-837.
  72. Warren RL, Keeling CI, Yuen MMS, Raymond A, Taylor GA, Vandervalk BP, Bohlmann J. White spruce genome. The Plant Journal. 2021;107(3):857-876.
  73. Westbrook JW, Chhatre VE, Wu LS, Chamala S, Neves LG, Muñoz P, Peter GF. Genetic mapping of resin traits. Tree Genetics & Genomes. 2020;16:1-18.
  74. Whitehill JGA, Bohlmann J, Krokene P. Conifer chemical defense. New Phytologist. 2023;239(5):16851702.
  75. Willis RJ. Juglans spp., juglone and allelopathy. Allelopathy Journal. 2000;7(1):1-55.
  76. Wink M. Plant secondary metabolites modulate insect behavior. Frontiers in Physiology. 2018;9:364.
  77. Wolfender JL, Litaudon M, Touboul D, Queiroz EF. Omics-based natural product discovery. Natural Product Reports. 2019;36(6):855-868.
  78. Xu W, Dubos C, Lepiniec L. MYB-bHLH-WDR complexes. Trends in Plant Science. 2015;20(3):176185.
  79. Zhang D, Zhang J, Yang W, Wu F. Allelopathic effects of Eucalyptus grandis. Allelopathy Journal. 2010;25(2):439-448.
  80. Ziegler J, Facchini PJ. Alkaloid biosynthesis. Annual Review of Plant Biology. 2008;59:735-769.
  81. Züst T, Agrawal AA. Trade-offs and synergies in plant chemical defenses. Annual Review of Ecology, Evolution, and Systematics. 2024;55:1-24.
  82. Tsai JL, Knutson B, Fung HH. Cultural variation in affect valuation. Journal of personality and social psychology. 2006 Feb;90(2):288.
  83. Seigler DS. Phytochemistry of Acacia-sensu lato. Biochemical systematics and ecology. 2003 Aug 1;31(8):845-73.
  84. Vannozzi A, Wong DC, Höll J, Hmmam I, Matus JT, Bogs J, Ziegler T, Dry I, Barcaccia G, Lucchin M. Combinatorial regulation of stilbene synthase genes by WRKY and MYB transcription factors in grapevine (Vitis vinifera L.). Plant and Cell Physiology. 2018 May 1;59(5):1043-59.
  85. Yu R, Långström N, Forsman M, Sjölander A, Fazel S, Molero Y. Associations between prisons and recidivism: A nationwide longitudinal study. PLoS one. 2022 May 17;17(5):e0267941.
  86. Lorenzo-Gómez MF, Foley S, Nickel JC, GarcíaCenador MB, Padilla-Fernández BY, González-Casado I, Martínez-Huélamo M, Yang B, Blick C, Ferreira F, Caballero R. Sublingual MV140 for prevention of recurrent urinary tract infections. NEJM evidence. 2022 Mar 22;1(4):EVIDoa2100018.
  87. Pizzi S, Rosati F, Venturelli A. The determinants of business contribution to the 2030 Agenda: Introducing the SDG Reporting Score. Business Strategy and the Environment. 2021 Jan;30(1):404-21.
Citations
1
FWCI
0.00
field-weighted impact
References
0
Percentile
62%
vs. same field & year

Cited by 1

From OpenAlex, OpenCitations and reference lists read by Scinovex

  • Natural Photosensitizers in Cancer Therapy: A Chemo‐Biodiversity Perspective on Light‐Activated Natural Compounds ↗

    Isaac Baidoo, Heidi Abrahamse, Blassan Plackal Adimuriyil George · Chemistry & Biodiversity · 2026

    Natural photosensitizers have emerged as promising candidates for photodynamic therapy (PDT) owing to their structural diversity, favorable biocompatibility, and broad biological activities. However, their significance extends beyond their natural origin, as they represent the products of chemo-biodiversity shaped by millions of years of evolutionary adaptation to diverse ecological pressures. This review examines natural photosensitizers through a chemo-biodiversity perspective, emphasizing how…

    ❝ 0PDF
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.