Front. Microbiol. Frontiers in Microbiology Front. Microbiol. 1664-302X Frontiers Media S.A. 10.3389/fmicb.2025.1632726 Microbiology Original Research Phosphite inhibits Phytophthora cinnamomi by downregulating oxidoreductases and disrupting energy metabolism Prabhu S. Ashok 1 2 Naicker Previn 3 Duong Tuan A. 2 Govender Ireshyn Selvan 4 Engelbrecht Juanita 1 2 Backer Robert 1 2 Stoychev Stoyan Hristov 5 van den Berg Noëlani 1 2 * 1Hans Merensky Chair in Avocado Research, University of Pretoria, Pretoria, South Africa 2Department of Biochemistry, Genetics and Microbiology, Faculty of Natural and Agricultural Sciences, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa 3ReSyn Biosciences, Edenvale, South Africa 4Future Production Chemicals, Council for Scientific and Industrial Research, Pretoria, South Africa 5Evosep Aps, Odense, Denmark

Edited by: Marie-Joelle Françoise Virolle, Centre National de la Recherche Scientifique (CNRS), France

Reviewed by: Maria Lobato, Polytechnic University of Valencia, Spain

Richard Dormatey, CSIR Crops Research Istitute, Ghana

 *Correspondence: Noëlani van den Berg noelani.vdberg@fabi.up.ac.za 25 08 2025 2025 16 1632726 21 05 2025 29 07 2025 Copyright © 2025 Prabhu, Naicker, Duong, Govender, Engelbrecht, Backer, Stoychev and van den Berg. 2025 Prabhu, Naicker, Duong, Govender, Engelbrecht, Backer, Stoychev and van den Berg

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Phytophthora root rot caused by the hemibiotrophic oomycete, Phytophthora cinnamomi is a major biotic hindrance in meeting the ever-increasing demand for avocados. In addition, the pathogen is a global menace to agriculture, horticulture and forestry. Phosphite trunk injections and foliar sprays remain the most effective chemical management strategy used in commercial avocado orchards against the pathogen. Phosphite is known to counter P. cinnamomi both directly and indirectly through fortification of host defense. However, phosphite's direct mode of action is still not understood completely. This study identified a P. cinnamomi isolate GKB4 sensitive to phosphite (EC50 of 27.9 μg/mL) and investigated the direct impact of phosphite on this isolate through label-free quantitative SWATH-MS. Proteomics data analysis of untreated vs. phosphite-treated samples revealed that the xenobiotic affects the pathogen's growth by targeting the oxidoreductases whose abundance is significantly reduced. Further, perturbations in the energy metabolism and membrane/transmembrane proteins and transporters, and oxidative stress contribute to growth inhibition. The current study also identified increased putrescine biosynthesis, a polyamine, that when present at non-optimal concentrations could be cytostatic/cytotoxic. The differential expression of enzymes involved in the biosynthesis of secondary metabolites and the intermediates/precursors involved in their biosynthesis is an interesting finding that needs further investigation to ascertain their role in phosphite-induced stress. The pathogen's attempt to counter phosphite's growth-inhibitory effects—through upregulation of alternate bioenergetics pathways (amino acid catabolism and β-oxidation of fatty acids), mitochondrial translation and translocation machinery, peroxisomal proteins, and antioxidants—appears ineffective. This research furthers our limited understanding of the direct in vitro effects of phosphite on P. cinnamomi and has identified potential candidates for molecular functional investigation.

 SWATH-MS phosphite Phytophthora cinnamomi oxidoreductases metabolism antioxidants mitochondrial translation membrane proteins section-at-acceptance Microbial Physiology and Metabolism Highlights

A phosphite-sensitive P. cinnamomi isolate (PcGKB4) was identified.

Label-free quantitative proteomics identified that phosphite inhibits PcGKB4 predominantly by downregulating oxidoreductases and glycolysis.

Phosphite increased the biosynthesis of putrescine. Depending on its intracellular levels it could promote growth or act as a cytostatic/cytotoxic agent.

Enhanced production of proteins involved in alternative energy metabolism, mitochondrial translation, peroxisomal proteins and antioxidants is a futile countereffort by the pathogen to revive growth.

 1 Introduction

Avocado (Persea americana Mill.) is rich in healthy fats, fiber, vitamins, minerals and antioxidants making it a popular superfood. Regular consumption is linked to various health benefits, including improved gut health, weight management, reduced risk of heart disease, and protection against age-related macular degeneration (Dreher and Davenport, 2013). Consequently, there is an ever-increasing demand for avocados around the world. In 2023, the global market was valued at $15.9 billion and is projected to grow to $30.22 billion by 2032 (https://www.zionmarketresearch.com/report/avocado-market).

One of the major biotic constraints to sustained avocado production is Phytophthora root rot (PRR), caused by the hemibiotrophic oomycete pathogen, Phytophthora cinnamomi Rands (Hardham and Blackman, 2018). The pathogen infects avocado feeder roots impairing water and nutrient transport, leading to severe wilting and tree mortality. PRR can result in 45–90% reduction in fruit production, depending on disease severity (Pérez-Jiménez, 2008). In addition, P. cinnamomi poses a global threat, affecting more than 5,000 plant species across agriculture, horticulture, and forestry (Hardham and Blackman, 2018). Though commercial avocado orchards typically employ integrated PRR management which includes chemical treatments, mulching, soil solarization, good nursery practices, antagonistic microbial formulations, and partially resistant rootstocks; chemical phosphite (Phi) trunk injections or foliar sprays remain the most effective intervention (Boulle et al., 2023; Wolstenholme and Sheard, 2010).

Phosphonic acid-based compounds, including ammonium, potassium, and sodium phosphonates, fosetyl-Al, and more recently, calcium chelates have demonstrated efficacy in managing oomycete disease (Khdiar et al., 2022). In addition to controlling oomycetes such as Plasmopara, Phytophthora, and Pythium, phosphonic acid formulations have also been effective against bacteria like Pseudomonas syringae, parasitic nematodes in wheat and oat, and fungal pathogens such as Puccinia emaculata and Phakopsora pachyrhizi, the causal agents of switchgrass rust and Asian soybean rust, respectively (Bultreys et al., 2018; Dann and McLeod, 2021; Gill et al., 2018; Oka et al., 2007). Phosphite (HPO32-), a dissociation byproduct of phosphonic acid-based formulations, is considered the bioactive factor responsible for pathogen control in host plants (Guest and Grant, 1991). Due to its systemic nature, long-term presence in plants, low toxicity to mammals, environmental compatibility, and complex mode of action, Phi has been widely used for oomycete control for over four decades (Dann and McLeod, 2021; Guest and Grant, 1991).

Phi treatment remains the most effective and widely adopted strategy for managing the devastating root rot pathogen P. cinnamomi in commercial avocado orchards worldwide. It is also a key approach in the control of Phytophthora responsible for tree decline in natural ecosystems (Hunter et al., 2024). However, prolonged use of Phi has led to both in vitro and in planta Phi tolerance in P. cinnamomi isolates from avocado orchards in Australia, New Zealand and South Africa (Hunter et al., 2023; Ma and McLeod, 2014). Additionally, other Phytophthora species, such as P. capsici and P. citrophthora (Hao et al., 2021), as well as other oomycetes such as Bremia lactucae and Pseudoperonospora humuli (Brown et al., 2004; Gent et al., 2020) have also developed insensitivity to Phi. This emerging Phi tolerance has significant implications for disease management in commercial settings, underscoring the need to understand both the direct and indirect modes of action of Phi on P. cinnamomi.

In host-oomycete interactions, Phi functions at multiple levels. At lower concentrations, it activates plant defense responses, while at higher concentrations, it exerts a direct antimicrobial and fungistatic effect. It also modulates host-pathogen interactions by stimulating the release of pathogen elicitors and reducing the production of host defense suppressors (Dunstan et al., 1990; Eshraghi et al., 2011; Guest and Grant, 1991; Jackson et al., 2000; Perez et al., 1995). More recently, Phi has been shown to protect Rhododendron species against PRR indirectly by altering the rhizosphere fungal community (Liu et al., 2023). Despite its effectiveness, Phi can be phytotoxic, potentially causing growth abnormalities and reducing reproductive capacity in plants (Hardy et al., 2001).

Studies across various plants, including Eucalyptus, Arabidopsis, cowpea, tobacco, austral grasstree, and citrus have demonstrated that Phi induces a hypersensitive response and reinforces host defense mechanisms against Phytophthora spp. through the accumulation of defense enzymes such as cinnamyl alcohol dehydrogenase, phenolic compounds, phytoalexins, lignin-like/lignin, hydrogen peroxide, and callose deposition (Afek and Sztejnberg, 1989; Daniel and Guest, 2006; Eshraghi et al., 2011; Jackson et al., 2000; Nemestothy and Guest, 1990; Saindrenan et al., 1988). Phi treatment in Arabidopsis, European beech and soybean has been shown to upregulate defense hormone pathways, such as salicylic acid, jasmonic acid (JA), and ethylene which are key regulators of plant immunity (Dalio et al., 2014; Eshraghi et al., 2011; Guo et al., 2021). In lupine and Eucalyptus, Phi-induced damage to root elongation zones and root tips has surprisingly been observed to benefit the plant by restricting pathogen infection and colonization (Groves et al., 2014; Jackson et al., 2000). In a recent report, Phi treatment of Arabidopsis suspension cells was found to primarily alter protein phosphorylation involved in core processes such as translation, RNA splicing and kinase signaling, suggesting a role in post-translational regulatory mechanisms (Mehta et al., 2021).

Compared to the extensive research on the effects of Phi in plants, fewer studies have focused on its direct mode of action in pathogenic fungi and oomycetes. Previous research has revealed several mechanisms through which Phi affects these pathogens, including targeting the adenylate pool, altering enzyme phosphorylation, repressing phosphate (Pi)-repressible acid phosphatase, increasing pyrophosphate levels, and disrupting mycelial lipid metabolism and the pentose phosphate pathway (Guest and Grant, 1991). In P. cinnamomi, Phi treatment induces cell wall lysis, hyphal distortions, and reduced zoospore production (King et al., 2010; Wilkinson et al., 2001). The first omics-level study on the effect of Phi on P. cinnamomi utilized microarray analysis, identifying genes involved in cell wall synthesis, or cytoskeleton functioning (King et al., 2010). In contrast, RNA sequencing of rust pathogens P. emaculata and P. pachyrhizi did not reveal Phi-mediated disruption of cell wall biosynthesis. Instead, downregulated genes in one or both rust fungi belonged to functional categories such as ribosomal protein, actin, RNA-dependent RNA polymerase, and aldehyde dehydrogenase (Gill et al., 2018). A recent proteomics study investigating the in vitro effects of Phi on P. cinnamomi isolates demonstrated that the inhibitory effect of Phi is accomplished by interfering with metabolism, signaling and gene expression (Andronis et al., 2024). To date this is the only proteomics-level study examining the direct effect of Phi on P. cinnamomi. Hence, this necessitates investigations from more research groups involving different P. cinnamomi isolates to achieve a comprehensive understanding of Phi's direct mode of action. Building on these findings, the present study aims to deepen our understanding of Phi's direct effects on P. cinnamomi by utilizing advancements in mass spectrometry-based proteomics and the availability of a well-annotated P. cinnamomi genome generated by our research group (Engelbrecht et al., 2021; Ludwig et al., 2018).

 2 Materials and methods 2.1 <italic>Phytophthora cinnamomi</italic> isolate

P. cinnamomi isolate GKB4 (PcGKB4) routinely used in avocado infection experiments in our research group was obtained from the culture collection of the Avocado Research Programme, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, South Africa.

 2.2 Phosphite stock

A 1.25% H3PO3 stock solution (99%; Sigma-Aldrich, St. Louis, Missouri, United States) was prepared in deionized water, adjusted to pH 6.0 with 1 M KOH, and filter-sterilized through 0.22 μm syringe filters (Sigma-Aldrich) and stored at 4°C. A working solution was prepared by diluting the stock 1:20 in deionized water, followed by pH verification, filter sterilization, and storage at 4°C.

 2.3 Preparation of <italic>Pc</italic>GKB4 inoculum

The PcGKB4 stock culture was sub-cultured onto ½ PDA plates (19.5 g/L potato dextrose agar and 7.5 g/L agar) and incubated in the dark at 22°C for 4 days. A 5 mm × 5 mm mycelial plug was excised and inoculated into a Granny Smith apple, which was then wrapped with cling film, placed in a zip-lock bag, and incubated in the dark at 22°C for 5 days (Ribeiro et al., 1975). A 5 mm × 5 mm section of infected apple tissue was subsequently sub-cultured onto Phytophthora-selective NARPH agar plates (19.5 g/L PDA, amended with 50 mg/L nystatin, 200 mg/L ampicillin, 100 mg/L pentachloronitrobenzene, 10 mg/L rifampicin and 50 mg/L hymexazol) and incubated at 22°C for 2 days in the dark (Hüberli et al., 2000). Single hyphal tips were transferred onto modified Ribeiro's minimal media (RMM) agar plates supplemented with 10 mM KH2PO4 (Ribeiro et al., 1975) and incubated at 22°C for 7 days in the dark. Molecular confirmation of the single hyphal tip cultures was performed by amplifying the species-specific LPV3 fragment following the protocol described in Engelbrecht et al. (2013). Actively growing hyphae were inoculated into 200 mL RMM broth containing 10 mM KH2PO4 and incubated with agitation at 115 rpm in the dark at 22°C for 5 days. Mycelia were harvested by vacuum filtration using an MD 4 NT VARIO vacuum pump (Vacuubrand, Sigma-Aldrich) and homogenized on ice with a hand blender (Russel Hobbs, Oldham, United Kingdom) at maximum speed for five cycles of 1 min blending with 1 min rest intervals. The optical density (A600nm) of the mycelial homogenate was adjusted to 0.5 with sterile RMM broth containing 10 mM KH2PO4, serving as the inoculum.

 2.4 Effect of Phi on <italic>Pc</italic>GKB4 growth—dose-response curve analysis

A total of 54 sterile 100 mL conical flasks, each containing 25 mL of RMM broth supplemented with 10 mM KH2PO4 and Phi at concentrations of 0, 0.125, 0.25, 0.5, 0.75, 1, 1.25, 2.5, 5, 10, 20, 40, 60, 80, 100, 200, 500, and 1,000 μg/mL in triplicates, were inoculated with 125 μL of the above prepared inoculum. Cultures were incubated at 22°C in the dark with agitation at 150 rpm. Mycelia were harvested by vacuum filtration 6 days post inoculation (dpi), transferred to 15 mL conical polypropylene tubes, snap frozen in liquid nitrogen, and stored at −80°C until further use. Lyophilisation was performed for 24 h, and the mycelial dry mass was measured. The experiment was repeated thrice each with triplicate samples. The effective concentration of Phi required to inhibit PcGKB4 growth by 50% (EC50) was determined using a four-parameter log-logistic model implemented in the drc package in R (v4.3.1) (Ritz et al., 2015).

 2.5 <italic>Pc</italic>GKB4 mycelial protein extraction

Mycelia were harvested by vacuum filtration from six bulk cultures (400 mL RMM broth in 2 L conical flasks) of both untreated controls (no Phi) and Phi-treated (30 μg/mL) cultures separately, grown for 6 dpi at 22°C in the dark with shaking at 150 rpm, lyophilized and stored at −80°C until further use. The Phi concentration was chosen based on the EC50 values determined by dose-response curve analysis (Ritz et al., 2015). For protein extraction, 1 g of mycelia was ground in a pre-cooled pestle and mortar with liquid nitrogen to a fine powder. The powder was resuspended in 5 volumes of protein extraction buffer (50 mM Tris-HCl, pH 8.0, 2% SDS; 10 mM DTT, protease-inhibitor (Thermo Fisher Scientific, Waltham, Massachusetts, United States) and PhosSTOP (Sigma-Aldrich) added to the extraction buffer just before use in a 50 mL polypropylene conical tube (Eppendorf, Hamburg, Germany), vortexed for 30 s and incubated at 65°C for 30 min. Thereafter, the homogenate was intermittently vortexed for 30 s every 10 min, and cooled on ice prior to centrifugation at 15,000 × g at 4°C for 30 min. The supernatant was transferred to a fresh tube, and an equal volume of UltraPure™ Buffer-Saturated Phenol, pH 7.4 (Invitrogen, Waltham, Massachusetts, United States) was added and incubated on ice for 30 min agitated at 150 rpm. The samples were centrifuged again at 15,000 × g at 4°C for 30 min. The upper phase was discarded and to the lower phenolic phase an equal volume of extraction buffer was added, and the mixture was incubated on ice for 30 min with shaking at 150 rpm. The samples were centrifuged at 15,000 × g at 4°C, 30 min, and the lower phenolic phase was transferred to a fresh tube. Protein precipitation was performed by adding 5 volumes of ice-cold acetone and incubating at −20°C, overnight. The samples were centrifuged at 15,000 × g at 4°C, 30 min, and pellets were washed twice with 10 mL ice-cold acetone by resuspension, followed by centrifugation at 15,000 × g at 4°C for 30 min. The pellet was air-dried in a fume hood for 2 min and resuspended in a minimum volume of protein solubilisation buffer (2% SDS in 20 mM Tris-HCl buffer, pH 8.0 amended with protease-inhibitor and PhosSTOP). Protein concentration was measured using the Pierce Bicinchoninic assay (Thermo Fisher Scientific), as per the manufacturer's instructions, using BSA as the standard. Twenty micrograms of each sample (control and Phi-treated) were separated by SDS-PAGE (Laemmli, 1970) on a 12% polyacrylamide gel (1 mm thick) under reducing conditions. Protein bands were visualized with Coomassie blue R−250 staining (Sigma-Aldrich).

 2.6 Protein sample preparation for mass spectrometry

Protein samples (10 μg/sample) were reduced with 5 mM Tris(2-carboxyethyl) phosphine and alkylated with 10 mM 2-chloroacetamide at room temperature for 20 min. Detergents and salts were removed using MagReSyn™ Hydroxyl beads (ReSyn Biosciences, Pretoria, South Africa) as previously described (Batth et al., 2019; Koenig et al., 2023). On-bead protein digestion was carried out for 16 h using sequencing-grade trypsin at a 1:100 protease:protein ratio. Ten micrograms of peptide digest was vacuum-dried separately for full proteome analysis.

 2.7 LC-MS data acquisition

Approximately 1 μg of peptides per sample was analyzed using a Dionex Ultimate 3000 RSLC system (Thermo Fisher Scientific) coupled to a Sciex 5600 TripleTOF mass spectrometer. Peptides were initially desalted in-line using an Acclaim PepMap C18 trap column (75 μm × 2 cm) (Thermo Fisher Scientific) for 2 min at a flow rate of 5 μL min−1 with 2% acetonitrile (ACN) and 0.2% formic acid (FA). Trapped peptides were then gradient-eluted and separated on an Acquity CSH C18 NanoEase column (75 μm × 25 cm, 1.7 μm particle size) (Waters Corporation, Milford, Massachusetts, United States) at a flow-rate of 0.3 μL min−1 with a gradient of 6–40% B (A: 0.1% FA; B: 80% ACN with 0.1% FA) over 90 min (full proteome analysis). For Sequential Window Acquisition of all THeoretical (SWATH) mass spectra, precursor scans were acquired across a mass range of 400–1,100 m/z with an accumulation time of 50 ms. Fragment ions were collected from 200 to 1,800 m/z using 48 variable-width precursor windows with a 0.5 Da overlap between windows and an accumulation time of 20 ms per window. The mass spectrometry proteomics data has been deposited to the ProteomeXchange Consortium (Deutsch et al., 2022) via the PRIDE (Perez-Riverol et al., 2019) partner repository with the dataset identifier PXD063718.

 2.8 Bioinformatics analysis 2.8.1 LC-MS data analysis

SWATH data were processed using Spectronaut v18 (Biognosys AG, Schlieren, Switzerland). Data processing followed the default directDIA identification and quantification settings. Carbamidomethylation was set as a fixed modification, while N-terminal acetylation and methionine oxidation were considered as variable modifications. The proteotypic filter was configured to ‘Only protein group specific'. The search database included P. cinnamomi (Engelbrecht et al., 2021) proteins along with common contaminating proteins. A false discovery rate (FDR) threshold of 1% was applied at the precursor and protein levels. Quantification was conducted at the MS2 level, with label-free cross-run normalization implemented using a global normalization strategy. Proteins identified by single peptides (single hits) were excluded. The ‘Protein Quant' pivot report (excluding the decoys) was exported and contaminants were manually removed.

Downstream data analysis was performed using Perseus v2.0.11 (Tyanova et al., 2016). The protein quant data matrix was imported into Perseus, where control and Phi-treated label-free quantification (LFQ) datasets were grouped separately. Data were log2(x)-transformed, filtered for entries where LFQ values were available in at least 100% bio replicates among at least one of the two study groups (control, treated). Missing values were imputed using a normal distribution (width=0.3, down shift=1.8). A student's two-sample t-test was performed with Phi-treated samples as the first group and untreated control as the second group, S0 = 0.1, 250 randomizations) applying a permutation-based FDR cutoff of < 0.05. A differential abundance list was generated by filtering proteins with statistically significant Student's t-test values, and subsequently applying a log2 absolute fold-change (log2FC) threshold of > 0.58 or < −0.58. Principal component analysis (PCA) was performed using FactoMineR v2.11 and visualized using ggplot2 v3.5.2 packages in R (R for Windows v4.4.0). Heatmap was generated using the ComplexHeatmap package (Gu, 2022) in R (R for Windows v4.4.0).

 2.8.2 Full STRING association network and functional enrichment analysis

Full STRING association networks were constructed for differentially expressed proteins (DEPs; log2FC > 0.58 or < −0.58) using StringDB v12.0, applying a minimum confidence threshold of 0.7. Node size and color were scaled according to log2FC values to visually represent protein expression changes. Functional networks were visualized in Cytoscape v3.10.2 (Shannon et al., 2003; Szklarczyk et al., 2023). Gene Ontology (GO), KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway, annotated keyword (UniProt), and reactome pathway enrichment analyses were conducted separately for significantly up- (log2FC > 0.58) and down-regulated (log2FC < −0.58) proteins. These analyses were performed against the background list of all expressed proteins using the ‘Analysis' tab in the STRING-DB v12.0, with default settings and an FDR threshold of < 0.05.

A schematic representation of the experimental strategy is outlined in Figure 1.

Schematic representation of experimental outline.

Flowchart illustrating the experimental outline. Control and phosphite-treated Phytophthora cinnamomi isolate GKB4 samples undergo mycelial harvest by vacuum filtration, protein extraction using an SDS-phenol method, and total protein quantification and SDS-PAGE analysis. Protein sample preparation follows, with LC-MS data acquisition and bioinformatics analysis. Each stage is visually represented with icons and arrows indicating the flow. 3 Results and discussion

The current study aimed to address Phi's direct mode of action in P. cinnamomi—using a label-free quantitative proteomics approach. This research is particularly significant as only a single proteomics study has been conducted on this topic to date (Andronis et al., 2024).

3.1 <italic>Pc</italic>GKB4 is a phosphite-sensitive isolate

The Phi inhibition studies were conducted by measuring the mycelial dry mass of PcGKB4 grown for 6 dpi in liquid cultures supplemented with varying Phi concentrations (0–1,000 μg/mL media). The mycelial growth decreased with increasing Phi concentrations (Figure 2). Dose-response curve analysis confirmed that PcGKB4 is sensitive to Phi, consistent with previous reports, with an average EC50 of 27.9 μg/mL (lower limit: 24.8 μg/mL; upper limit: 31 μg/mL) (Figure 2) (Andronis et al., 2024; Hunter et al., 2018). For proteomics analysis, six biological replicates were prepared for both untreated controls (no Phi included in culture media) and Phi-treated samples, using a sub-lethal dose of 30 μg/mL. This concentration was chosen to ensure sufficient mycelial mass for total protein extraction. Changes in protein abundance were subsequently quantified using label-free SWATH mass spectrometry.

Phosphite dose response curves showing the mycelial growth of Phytophthora cinnamomi isolate GKB4 at different phosphite concentrations (0, 0.125, 0.25, 0.5, 0.75, 1, 1.25, 2.5, 5, 10, 20, 40, 60, 80, 100, 200, 500, and 1,000 μg/mL media) relative to untreated control. The effect of Phi on mycelial growth was tracked by measuring the mycelial dry mass 6 days post inoculation. The experiment was repeated thrice. The data points represent the mean and bars represent the 5% confidence intervals for a four-parameter log-logistic model using the R package—drc (Ritz et al., 2015; R for Windows v4.4.0). X-axis: log10() transformed. Phosphite concentration of 0 μg/mL (untreated control) is represented as 0.01 to depict on the log scale.

Graph showing the relationship between phosphite concentration (micrograms per milliliter) and mycelial growth percentage of Phytophthora cinnamomi isolate GKB4 relative to untreated control. Three independent experiments are plotted, with data points representing mean values and the confidence intervals are shaded. A table below lists estimated phosphite EC50 values and confidence limits for each experiment. 3.2 <italic>In vitro</italic> Phi treatment of <italic>Pc</italic>GKB4 leads to changes in protein abundance

Liquid chromatography-high resolution tandem mass spectrometry was utilized to evaluate Phi-induced proteome changes (Figure 1). Data analysis identified 1,973 protein groups and 17,165 peptides in the proteomics dataset. Differential abundance analysis using Perseus, applying a Student's t-test significance filter, yielded 1,075 protein groups (Supplementary Table S1). Among these, 315 protein groups (log2FC > 0.58 or < −0.58, q-value < 0.05) were classified as significantly differentially expressed proteins (DEPs) (Supplementary Figure S1). Of these, 142 protein groups were downregulated, while 173 protein groups were upregulated following Phi treatment.

PCA of the proteomics dataset revealed distinct clustering between untreated and Phi-treated samples (Figure 3).

Principal component analysis (PCA) representing variation in protein abundance of untreated control (solid circles in red) vs. Phi-treated (30 μg/mL media; solid triangles in blue) quantitative protein data. The symbols (solid circles and triangles) and their associated labels represent biological replicates. The top 25 most significant variables are displayed. They correspond to top 13 upregulated (right hand side) and top 12 downregulated proteins (left hand side).

Biplot showing the principal component analysis of protein data, differentiating two treatments: control (red dots) and treated (blue triangles). Principal Component 1 explains 55.5% of variance, while Principal Component 2 accounts for 10.2%. Key proteins are labeled, and arrows indicate their contributions to component axes. Two tables list the top 12 downregulated and top 13 upregulated proteins with their rankings, names, abbreviations, and log fold changes. 3.3 STRING-DB network and functional enrichment analysis 3.3.1 Oxidoreductases downregulation vs. overrepresentation of carboxylic acid catabolic process and mitochondrial proteins

GO enrichment analysis of downregulated proteins revealed the overrepresentation of only oxidoreductases (GO:0016491, GO:0016614 and GO:0016616) belonging to the molecular functions category (Supplementary Table S2). Oxidoreductases are essential redox enzymes that mediate biological oxidation-reduction reactions, playing a key role in cell survival, growth, virulence, and reproduction. They are involved in numerous cellular processes such as energy generation through glycolysis and the tricarboxylic acid (TCA) cycle, fatty acid and amino acid metabolism, mitochondrial electron transport, and oxidative stress regulation (El-Gendi et al., 2022). The Phi-induced suppression of oxidoreductases suggests a significant disruption in P. cinnamomi cellular metabolism and redox homeostasis, which may contribute to its significantly reduced growth.

In contrast, GO enrichment analysis of upregulated proteins showed an overrepresentation of the biological processes related to small molecule catabolic process (GO:0044282) and carboxylic acid catabolic process (GO:0046395) as well as the mitochondrial cellular component (GO:0005739) (Supplementary Table S3). The small molecule/carboxylic acid catabolic category mostly included proteins involved in fatty acid and amino acid catabolism, while the mitochondrial component comprised of proteins involved in protein translation and translocation in addition to fatty acid and amino acid catabolism.

 3.3.2 Changes in metabolism and mitochondrial protein homeostasis

STRING-DB association network analysis of the DEPs identified 119 protein-protein interactions with a highly significant enrichment p-value (< 1.0E-16) (Figure 4). The major functional clusters represented in the network included amino acid and fatty acid catabolism, putrescine biosynthesis, glycolysis/TCA cycle, mitochondrial ribosome assembly and translocation, and the proteasome. Most proteins within these clusters were upregulated, except for some glycolysis cycle/TCA cycle enzymes, which were downregulated.

Full STRING-DB association network of proteins significantly differentially expressed upon Phi-treatment (30 μg/mL media). The size and color of the nodes were scaled with log2 fold change (log2FC) values. The association confidence between connected nodes is represented by edge thickness and a minimum confidence threshold of 0.7 was considered. Dappled areas portray the broader process relationships between associating proteins. Disconnected nodes are not depicted.

STRING-DB network diagram showing interactions between proteins significantly differentially expressed in Phytophthora cinnamomiisolate GKB4 upon phosphite treatment. Dappled areas are labeled for amino acid/fatty acid metabolism, putrescine biosynthesis, proteasome, mitochondrial translation machinery, glycolysis/TCA cycle, and mitochondrial protein import. Nodes vary in size and color, representing log fold changes, and the edge thickness represents the association confidence between the connected nodes.

KEGG enrichment analysis of both the down- and up-regulated proteins highlighted the common terms—metabolism (KEGG pathway ID: map01100) and biosynthesis of secondary metabolites (KEGG pathway ID: map01110) (Supplementary Tables S2, S3). The upregulated proteins showed significant enrichment in pathways related to valine, leucine and isoleucine degradation (KEGG pathway ID: map00280) and fatty acid metabolism (KEGG pathway ID: map01212). In addition, the reactome pathways: mitochondrial protein import (Reactome pathway ID: MAP-1268020), and metabolism (Reactome pathway ID: MAP-1430728) were enriched.

Among the downregulated pathways carbon metabolism (KEGG pathway ID: map01200), glycolysis/gluconeogenesis (KEGG pathway ID: map00010), pyruvate metabolism (KEGG pathway ID: map00620), and fructose and mannose metabolism (KEGG pathway ID: map00051) were overrepresented (Supplementary Table S2). The downregulation of the enzymes involved in fructose and mannose metabolism may be attributed to the use of RMM in this experiment, where glucose is the sole carbon source. In addition, overrepresentation of the UniProt annotated keywords—membrane (Keyword ID: KW-0472), transmembrane (Keyword ID: KW-0812), and transmembrane helix (Keyword ID: KW-1133) were observed for the downregulated proteins.

3.3.2.1 Perturbation in bioenergetics

Cellular energy production primarily relies on glucose catabolism via the glycolytic pathway, where pyruvate is generated and subsequently oxidized to produce the high-energy electron carriers FADH2 and NADH. Finally, ATP is synthesized in the mitochondria via oxidative phosphorylation in the electron transfer chain through chemiosmosis. Phi treatment resulted in the downregulation of key bioenergetic proteins such as mitochondrial isocitrate dehydrogenase (log2FC = −2.27), an important TCA cycle enzyme, and COQ7 (log2FC = −5.02) that regulates the electron transfer chain by influencing the synthesis of the key electron carrier CoQ. In addition, cytochrome c (log2FC = −0.49), cytochrome c oxidase (log2FC = −0.49) and its assembly protein COX15 (log2FC = −1.05), involved in the final step of ATP generation, also showed reduced abundance. Interestingly, previous studies have shown that downregulation of mitochondrial respiration components such as COQ7, cytochrome b5 and, NADH dehydrogenase was a major factor contributing to mycelial growth inhibition in Phytophthora infestans treated with tagatose, a rare sugar, while P. cinnamomi showed no such growth inhibition (Chahed et al., 2021). The observed depletion of mitochondrial respiration-related proteins in P. cinnamomi following Phi treatment suggests a potential mechanism by which Phi disrupts energy metabolism, ultimately impacting pathogen growth and survival.

In our study, two alternate oxidases (AOXs) were significantly downregulated (log2FC = −4.74 and log2FC = −3.04). When the cytochrome c pathway is disrupted, the mitochondria activate the AOX pathway to maintain redox equilibrium and prevent excess accumulation of reactive oxygen species (ROS), which can be detrimental to the cell. AOX, functions by bypassing mitochondrial complexes III and IV while partially maintaining ATP production through enhanced activity of complex I (Vanlerberghe, 2013). Conversely, the downregulation of AOXs may indicate an energy trade-off. As AOX activity is known to reduce ATP production. In the fungus Blastocladiella emersonii, mitochondrial AOX was shown to be essential for mycelial growth and sporulation (Luevano-Martinez et al., 2019). Given its critical role in fungal metabolism, targeting AOX and mitochondrial complex I could be a promising strategy for targeted control of P. cinnamomi. AOX-targeting N-phenylbenzamide derivatives have shown efficacy against fungal phytopathogens such as Moniliophthora perniciosa, Sclerotinia sclerotiorum and Venturia pirina (Barsottini et al., 2019). Similarly, novel peptides P-113Du and P-113Tri, which target mitochondrial complex I, have been reported to effectively control the human fungal pathogen Candida albicans (Xue et al., 2019). Consistent with our findings, King et al. (2010) also reported significant downregulation of AOX and pyruvate phosphate dikinase transcripts in Phi-treated P. cinnamomi. This further supports the idea that Phi disrupts mitochondrial energy metabolism, potentially making AOX and complex I attractive targets for disease control strategies in P. cinnamomi.

Most glycolytic pathway enzymes, including glyceraldehyde 3-phosphate dehydrogenase type I (log2FC = −1.59), triose phosphate isomerase (log2FC = −0.97), enolase (log2FC = −0.92), fructose bisphosphate aldolase (log2FC = −0.89), 6-phosphofructo-2-kinase (log2FC = −0.86), and phosphoglycerate kinase 1 (log2FC = −0.68) were significantly downregulated (Supplementary Table S1 and Figures 4, 5). The stress induced by Phi may have resulted in the depletion of glucose in an attempt to maintain cellular homeostasis compared to untreated controls. Alternatively, Phi could also have interfered with glucose uptake and phosphorylation. A comparative study analyzing glucose flux between control and Phi-treated samples will be necessary to determine the effect of Phi on glucose uptake/metabolism. In addition, the Phi-treatment also decreased gluconeogenesis under energy stress. Andronis et al. (2024) also reported downregulation of mitochondrial electron transport chain components and glycolytic pathway enzymes.

Model showing a summary of changes observed in protein abundance in Phytophthora cinnamomi isolate GKB4 upon Phi treatment. Glycolysis: PFK, 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase; FBA, fructose-bisphosphate aldolase; TPI, triosephosphate isomerase; G3PD, glyceraldehyde-3-phosphate dehydrogenase; PGK, phosphoglycerate kinase; E, enolase; PyK, pyruvate kinase. Transmembrane transporters: MC, mitochondrial carrier; ABC, ATP-binding cassette transporter superfamily; MFS, major facilitator superfamily. Mitochondrion—TCA cycle: αKD, α-ketoglutarate dehydrogenase subunit; SD, succinate dehydrogenase subunits; MD, malate-dehydrogenase; CS, citrate synthase; ID, isocitrate dehydrogenase; β-oxidation: SBCAD, short/branched chain-specific acyl-CoA dehydrogenase; SCAD, short chain-specific acyl-CoA dehydrogenase; MCAD, medium chain-specific acyl-CoA dehydrogenase; ECAH, enoyl-CoA-hydratase; 3HCAD, 3-hydroxyacyl-CoA dehydrogenase; 3KAT, 3-ketoacyl-CoA-thiolase; C/COAT, choline/carnitine-O-acyltransferase; Electron transport chain: I, complex I; II, complex II; III, complex III; IV, complex IV; V, complex V (ATP synthase subunits); COQ7, 5-demethoxyubiquinone hydroxylase; AOX, alternative oxidase; BCS1, mitochondrial protein chaperon responsible for protein folding, translocation and assemblage of the respiratory chain Complex III; Cytc, cytochrome c; COX, cytochrome c oxidase; COX15, cytochrome c oxidase assembly protein; Amino acid catabolism: ACAT, acetyl-CoA-acetyltransferase; 2A3KCAL, 2-amino-3-ketobutyrate CoA ligase; DLST, dihydrolipoyllysine-residue succinyltransferase; MCAC, β-chain of methylcrotonyl CoA carboxylase; MMSD, methylmalonate semialdehyde dehydrogenase; HMGCAL, hydroxymethylglutaryl CoA lyase; MAAI, maleylacetoacetate isomerase; OxR, oxidoreductase; A-CoA; acetyl CoA; S-CoA, succinyl CoA; Translocase machinery: TIM, translocases of inner membrane; TOM, translocases of outer membrane; DnaK, molecular chaperone; GrpE, nucleotide exchange factor essential for protein folding and in the regulation of DnaK; Translation machinery: MTIF2, mitochondrial translation initiation factor IF 2; TEF-Ts, translation elongation factor-Ts; MRP, mitochondrial ribosomal protein; RSM27, structural protein component of the mitochondrial ribosomal small subunit; RRF, ribosome recycling factor; Urea cycle/Putrescine biosynthesis: CPS, carbamoyl phosphate synthetase; OTC, ornithine carbamoyl transferase/ornithine transcarbamylase; ASL, argininosuccinate lyase; L-Arg, L-arginine; Anase, arginase; L-Orn, L-ornithine; ODC, ornithine decarboxylase. Biosynthesis of secondary metabolites: 12OPR, 12-oxophytodienoate reductase (peroxisome); SAMS, S-adenosylmethionine synthase 2 (cytosol); ACAS, acetyl-CoA synthetase/acetate-CoA ligase (mitochondria, cytosol/nucleus); GGPS, geranylgeranyl pyrophosphate synthetase (cytosol, vacuole); 3M2OHMT, 3-methyl-2-oxobutanoate hydroxymethyltransferase (cytosol, membrane); FC, ferrochelatase (matrix-facing side of the mitochondrial inner membrane). Peroxisome: PEX16, peroxin 16; Detoxifiers: TdPR, thioredoxin-dependent peroxide reductase; Cat, catalase; SOD, superoxide dismutase; BEH2, bifunctional epoxide hydrolase 2; ROS, reactive oxygen species; REs, reactive epoxides; β-oxidation: LACS, long chain acyl CoA synthetase 7; PHDE, peroxisomal hydratase dehydrogenase epimerase; HMGCAL, hydroxymethylglutaryl CoA lyase; MFE2, peroxisomal multifunctional enzyme type 2; 3KAT, 3-ketoacyl CoA thiolase A. Cytoplasmic detoxifiers: PdxS, pyridoxal biosynthesis lyase; Cat/Per, catalase/peroxidase-HPI; TlP, thioredoxin-like protein; GST, glutathione S-transferase. Pyruvate metabolism: PPdK, pyruvate phosphate dikinase (glycosome); 2HADH, D-isomer-specific 2-hydroxyacid dehydrogenase (mitochondria); NADP-ME, NADP-dependent malic enzyme (cytoplasm, mitochondria); MDH, malate dehydrogenase (cytoplasm, mitochondria, glycosome); MS, malate synthase (peroxisome, cell wall); ACC, acetyl CoA carboxylase (cytosol). Phi, phosphite; SerP, serine protease. The proteins under “Biosynthesis of secondary metabolites” and “Pyruvate metabolism” are shown in the cytosol due to space constraints and the cellular location of the proteins are presented within the parenthesis.

Diagram illustrating a summary of the protein abundance changes in Phytophthora cinnamomi isolate GKB4 post phosphite treatment. The model highlights the changes in protein levels occurring in cellular organelles such as mitochondria, peroxisomes and vacuoles. The changes in the abundance of proteins involved in various metabolic processes such as glycolysis, amino acid and fatty acid metabolism, pyruvate metabolism, biosynthesis of secondary metabolites, urea cycle, putrescine biosynthesis, detoxifiers, mitochondrial protein translation and translocation, serine proteases and ubiquitin-proteasome complex are displayed. The potential impact of changes in membrane protein abundance on nutrient uptake and phosphite flux is highlighted.

For continued survival P. cinnamomi generates energy through alternate mechanisms by tapping into cellular fatty and amino acids. This is supported by the upregulation of enzymes involved in β-oxidation of fatty acids resulting in acetyl-CoA and amino acid catabolism, which replenishes various TCA cycle intermediates, a process known as analplerosis. Enzymes involved in the β-oxidation of short/branched- and medium-chain fatty acids such as short-chain-specific acyl-CoA dehydrogenase (log2FC = 0.68), short/branched-chain-specific acyl-CoA dehydrogenase (log2FC = 2.07) and medium-chain-specific acyl-CoA dehydrogenase (log2FC = 1.15) showed increased abundance. Other upregulated β-oxidation pathway enzymes included acyl-CoA dehydrogenase (log2FC = 0.86), 3-hydroxyacyl-CoA dehydrogenase type-2(log2FC = 0.84), acyl-CoA dehydrogenase family member 9 mitochondrial precursor (log2FC = 0.67), two 3-ketoacyl-CoA-thiolases (log2FC = 1.39 and log2FC = 0.93, respectively), and enoyl-CoA-hydratase (log2FC = 0.47). In addition, choline/carnitine acyltransferase, critical for fatty acid transport into mitochondria for β-oxidation also displayed increased abundance (log2FC = 0.58), further supporting the metabolic shift toward lipid utilization for energy generation.

Enzymes involved in the degradation of amino acids such as lysine (dihydrolipoyllysine-residue succinyltransferase; log2FC = 1.04), leucine (hydroxymethylglutaryl CoA lyase; log2FC = 0.84, β-chain of methylcrotonyl-CoA carboxylase; log2FC = 0.96), isoleucine (short/branched chain-specific acyl-CoA dehydrogenase and acetyl-CoA-acetyltransferase; log2FC = 1.09), valine (methylmalonate-semialdehyde dehydrogenase; log2FC = 0.6), phenylalanine and tyrosine (maleylacetoacetate isomerase; log2FC = 0.81), and threonine (2-amino-3-ketobutyrate CoA ligase; log2FC = 0.58) were significantly upregulated (Supplementary Table S1 and Figures 4, 5). Two acetyl-CoA synthetases (log2FC = 1.32 and 0.94), which catalyze the conversion of acetate (a ketogenic amino acid degradation product) into acetyl Co-A (a Krebs cycle intermediate), was also highly abundant. In Magnaporthe oryzae, β-oxidation mediated by short-chain acyl-CoA dehydrogenases were shown to play a crucial role in vegetative growth, conidia production, pathogenesis, and oxidative stress adaptation (Aliyu et al., 2019). The diversion of fatty and amino acids toward energy production may, however, inhibit growth and development by disrupting protein homeostasis and membrane integrity.

 3.3.2.2 Downregulation of enzymes involved in pyruvate metabolism could affect various cellular processes

KEGG ontology analysis of downregulated proteins showed overrepresentation of enzymes associated with pyruvate metabolism such as pyruvate phosphate dikinase (three isoforms; log2FC = –3.99, –3.99, –3.99), D-isomer-specific 2-hydroxyacid dehydrogenase (three isoforms; log2FC = –2.46, –1.45, –0.62), NADP-dependent malic enzyme (log2FC = −0.83), malate dehydrogenase (log2FC = −0.99), malate synthase (log2FC = −0.62), and acetyl CoA carboxylase (log2FC = −0.59) (Supplementary Tables S1, S2). Pyruvate metabolism is a vital process that links glycolysis to TCA cycle, replenishment of the TCA cycle through glyoxylate cycle, and oxidative phosphorylation leading to energy production in the form of ATP. A downregulation of key enzymes involved in this central scheme hampers not just energy production but also affects various metabolic processes associated with fatty and amino acids, vitamin B6, and gluconeogenesis necessary for sustenance. Studies in bacteria, fungi and oomycetes have shown the involvement of carbon metabolism in growth and virulence. In the human bacterial pathogen Staphylococcus aureus, the central metabolite pyruvate is a key link between metabolism and virulence, as it enhances pathogenicity through the generation of virulence factors such as the pore-forming leucocidins (Harper et al., 2018). Regulation of carbon metabolism and Hog1 MAPK-mediated stress responses modulate sexual reproduction and filamentous growth in the sugarcane smut disease causing fungus, Sporisorium scitamineum (Yan et al., 2016). Transcriptomics studies in the highly pathogenic P. infestans strain DL04 showed that higher growth rate and enhanced pathogenicity linked to the virulence factor 3 expression was associated with enrichment of carbon metabolism, glycolysis/gluconeogenesis and amino acid biosynthesis (Deng et al., 2025). Therefore, in our case, it could be speculated that the downregulation of enzymes involved in carbon metabolism leading to perturbations in the cellular homeostasis, especially the energy production and this coupled with the downregulation of membrane transporters mentioned below could negatively impact the extrusion of intracellularly accumulated Phi. Further, this physiological stress could adversely impact the growth and virulence of P. cinnamomi.

 3.3.2.3 Increased abundance of putrescine biosynthetic enzymes

Arginase, an enzyme in the urea cycle responsible for L-ornithine synthesis (log2FC = 0.73), and ornithine decarboxylase (decarboxylation of L-ornithine; log2FC = 2.58) an enzyme involved in the biosynthesis of putrescine, a polyamine, were both upregulated in this study (Supplementary Table S1 and Figures 4, 5). Arginase activity has been shown to increase in C. neoformans lacking urease (Toplis et al., 2020) and the downregulation of urease (log2FC = −1.13) in this study could point to higher arginase activity, resulting in higher L-ornithine levels, increasing availability and downstream putrescine production by ornithine decarboxylase. The urea cycle is involved in the detoxification of ammonia generated by amino acid catabolism (Morris, 2002). Upregulation of several urea cycle enzymes (two argininosuccinate lyases, two carbamoyl phosphate synthase large-subunit proteins, and ornithine transcarbamylase) support the hypothesis that Phi exposure induces amino acid degradation for energy production. Putrescine (1,4-diaminobutane), a four-carbon diamine, is the first step in the synthesis of higher polyamines such as spermidine and spermine. Putrescine catabolism leads to the formation of gamma-aminobutyric acid (GABA), which can be converted into succinate through the GABA shunt. Succinate then enters the TCA cycle, linking polyamine metabolism to central energy production pathways.

Putrescine is reported to be involved in the regulation of nucleic acid and protein synthesis, and is thus essential for cell growth in both mammals and the fungus Sclerotium rolfsii (Shapira et al., 1989; Smith, 1990). Polyamines, including putrescine, are also implicated in the regulation of chromatin structure, membrane function, the control of transcription and translation, and oxidative stress tolerance (Solmi et al., 2023). Studies involving inhibitors of putrescine biosynthesis using α-difluoromethylornithine (DFMO), an irreversible inhibitor of ornithine decarboxylase, have shown significant inhibition of mycelial growth in several fungal phytopathogens—Botrytis cinerea, Colletotrichum truncatum, Monilinia fructicola, Rhizoctonia solani, and also in the oomycete P. infestans (Gamarnik et al., 1994; Rajam and Galston, 1985; Walters et al., 1995). This underscores the important role of putrescine and polyamine metabolism in fungal development.

Intracellular levels of putrescine and other polyamines are tightly regulated to maintain cellular homeostasis. Excessive accumulation of polyamines are known to be cytotoxic in Neurospora crassa due to alterations in the cytosolic K+ ion concentrations, and in the cyanobacterium Anacystis nidulans the toxicity was induced by ribosomal conjugation leading to dissociation of their subunits (Davis and Ristow, 1991; Guarino and Cohen, 1979). Due to their central role in cell proliferation and stress response, polyamine metabolism has emerged as a promising target for the development of putrescine analogs aimed at controlling commercially important fungal and oomycete phytopathogens (Garriz et al., 2003; Havis et al., 1994).

To the best of our knowledge, enzymes involved in putrescine catabolism to GABA as well as those responsible for spermidine and spermine biosynthesis, were not upregulated in this study. This absence raises questions regarding the intracellular accumulation of putrescine in the oomycete, P. cinnamomi. Is putrescine present at optimal levels that promote cell growth and stress adaptation, or does it accumulate to exert cytostatic or cytotoxic levels? Based on the observed growth inhibition of PcGKB4 induced by Phi exposure, the latter scenario appears more likely. However, definitive conclusions require intracellular putrescine quantification in future studies.

 3.3.2.4 Mitochondrial translation and protein translocation machinery was scaled-up

Mitochondria are dynamic organelles which play a role not only in cellular respiration and energy production, but also in a wide range of essential cellular processes. Beyond ATP production, mitochondria are important for cell wall biogenesis and integrity due to their role in lipid homeostasis, calcium storage, iron–sulfur cluster assembly, cell signaling, and response to various stresses. They also contribute to detoxification of antifungal drugs, fungal quiescence and senescence, and fungal virulence, making them vital for cell proliferation and hyphal growth (Alves and Gourlay, 2024).

In fungi, mitochondrial genomes encode only eight genes, all of which are involved in ATP production through oxidative phosphorylation and cellular state regulation. The translation of these genes depends on a complex translation machinery that includes 78 mitoribosomal proteins, encoded in the nuclear genome. Meanwhile the mitochondrial 23S and 16S rRNAs are transcribed in the organelle itself. Mitoribosomal proteins are synthesized in the cytosol and imported into the mitochondria by translocases. Further, numerous assembly proteins, chaperones and peptidases are involved in the biogenesis and assembly of functional mitoribosomes (Bertgen et al., 2023; Itoh et al., 2020).

Phi-induced stress in P. cinnamomi, disrupts energy metabolism and redox homeostasis leading to oxidative stress. This was shown by significant alterations in the mitochondrial matrix and electron transport chain protein levels essential for mitochondrial function. In order to counter the stress, maintain the mitochondrial integrity and keep up with the energy requirements of the cell, significant upregulation of components of mitochondrial translation machinery involving mitoribosomes and accessory proteins (mitochondrial ribosomal protein (MRP); MRPL17, log2FC = 0.61; MRPL22, log2FC = 0.64; MRPL37, log2FC = 1.20; MRPL47, log2FC = 0.69; RSM27, log2FC = 0.65), ribosome recycling factor (log2FC = 0.74), translation initiation factor (log2FC = 0.68) and, mitochondrial protein translocases and chaperones (translocases of inner membrane (TIM), translocases of outer membrane (TOM); TIM9, log2FC = 0.62; TIM10, log2FC = 0.78; TIM16, log2FC = 0.69; TIM44 log2FC = 0.91; DnaK, log2FC = 0.85; mitochondrial BCS1-B, log2FC = 2.52) was necessitated (Supplementary Table S1 and Figures 4, 5). MRPL17, 22, 37 and 47 are constituents of large 39s ribosomal subunit, RSM27 is a part of the small subunit, and translation initiation factor IF2 is a GTP/GDP-binding protein that correctly positions initiator fMet-tRNA in the ribosomal P site and initiates translation, and translation elongation factor EF-Ts are critical for mitochondrial protein synthesis. Ribosome recycling factor is important for translational fidelity and disassembly of the post-termination complex. In addition to the above-mentioned import proteins multiple other translocases and chaperones—TIM8 and 13, TOM40 and 70, GrpE were upregulated (Supplementary Table S1, and Figure 5). The mitochondrial import machinery involves outer-, inter- and inner- membrane translocases, and chaperones that coordinate to transport the proteins synthesized in the cytosol. TOM40, a β-barrel protein, forms a translocation channel and is the vital component of the TOM complex and TOM70 is an outer membrane receptor facing the cytosol and with the coordinated action of GrpE-DnaK binds to preproteins for import (Fan and Young, 2011). The small TIM complexes—TIM8–TIM13 and TIM9–TIM10 present in the intermembrane space act in the transfer of protein precursors from the TOM to the inner membrane. Gene deletion studies showed TIM9–TIM10 and TOM40 to be essential for cell viability and growth (Baker et al., 2012; Wiedemann et al., 2004). Further, the upregulation of mitochondrial carrier family proteins, as discussed earlier, likely contributes to mitochondrial replication and protein synthesis (Palmieri, 2013). Our results are in contrast to Andronis et al. (2024) in which a downregulation of mitochondrial large subunit proteins was reported.

GTPase Era (log2FC = 4.33), the most upregulated protein, is essential for bacterial-type ribosome biogenesis such as mitochondrial ribosomes. Its deficiency impairs protein synthesis and cellular physiology, influencing growth and cell cycle regulation in both prokaryotes and eukaryotes (Gollop and March, 1991; Gruffaz and Smirnov, 2023).

Two ADP-ribosylation factor (ARF) family proteins (log2FC = 3.65 and log2FC = 3.00) were upregulated in the present study. While these small GTPases are primarily involved in vesicle assembly, cargo transport, and cytoskeletal reorganization, a prerequisite for cellular homeostasis and growth (Wang et al., 2020), Arf1 has been implicated in the modulation of mitochondrial morphology and homeostasis (Ackema et al., 2014), while FgArl1, an ADP-ribosylation factor-like small GTPase, is critical for the development and pathogenicity of the Fusarium head blight pathogen (Wang et al., 2020). Consistent with our study, King et al. (2010), also reported the upregulation of multiple ARF genes.

 3.3.2.5 Biosynthesis of secondary metabolites and intermediates/precursors involved in their biosynthesis was overrepresented in both the down- and up-regulated proteins

The biosynthesis of secondary metabolites (KEGG pathway ID: map01110) included upregulation of geranylgeranyl pyrophosphate synthetase (GGPS; log2FC = 1.19) (Supplementary Tables S1–S3). GGPS is an enzyme in the mevalonate/isoprenoid pathway responsible for the synthesis of an isoprenoid—geranylgeranyl pyrophosphate (GGPP). In Phytophthora sojae deletion of a GGPS-encoding gene affected the mycelial growth and morphology, as well as a reduction in the production of sporangia, oospores and virulence (Yang et al., 2021). In addition, GGPP is one of precursors involved in protein prenylation, a post translational modification of proteins. Protein prenylation is important for protein-protein interactions, protein trafficking and membrane localization of proteins (Sinensky, 2000). Further, the modification is critical in signal transduction (Ras superfamily proteins, G proteins), cytoskeletal organization and vesicular transport (Jung and Bachmann, 2023). In this study the upregulation of GGPS upon Phi-treatment could aid in the survival of P. cinnamomi. Multiple 12-oxophytodienoate reductases (log2FC = 1.05, 1.04, 0.86, –0.65, –0.75, –0.75) which catalyzes a key step in JA biosynthesis were differentially expressed. The importance of JA pathway in plant defense is well established and our previous research has also shown the involvement of this pathway in the avocado defense against P. cinnamomi during its transition from biotrophic to necrotrophic lifestyle (Van Den Berg et al., 2021). However, the biosynthesis and the physiological role of JA in P. cinnamomi or other oomycetes is not known to the best of our knowledge. Few reports are available on the physiological implications of intrinsic JA and their derivatives in bacteria and fungi. Intrinsic JA in the rice blast fungus M. oryzae was reported to be a morphogenetic signal that aids in the switch from the vegetative to the pathogenic phase. Deletion of the fungal 12-oxophytodienoic acid gene leading to reduction in JA levels resulted in prolonged germ tube growth, and affected the timely initiation and development of infection structures (Liu et al., 2021). In addition, M. oryzae was shown to employ hydroxylated-JA in host penetration and attenuation of host immunity (Patkar et al., 2015). The grapevine pathogen Lasiodiplodia mediterranea produces lasiojasmonate A, a JA-furanone ester, at late infection stages to facilitate fungal invasion through the induction of JA-mediated cell death response (Chini et al., 2018). In Pseudomonas syringae coronatine, a mimic of the plant JA conjugate (+)-7-iso-jasmonoyl-L-isoleucine, is a vital virulence factor that binds to the JA-receptor COI1 leading to suppression of the host salicylic acid defense through the activation of JA signaling, Further, coronative promotes bacterial entry into the host through the suppression of plant cell wall and stomatal defense responses (Geng et al., 2014). In the present context, down-regulation of three 12-oxophytodienoate reductases upon Phi treatment may impair the ability of P. cinnamomi to synthesize JA-like molecules, which are thought to play a role in modulating host defense or coordinating pathogen signaling. This disruption could weaken the pathogen's ability to suppress plant immune responses, reducing its virulence and ability to adapt to stress, and ultimately compromising survival and infection success. On the other hand, the observed upregulation of three 12-oxophytodienoate reductases, mentioned above, could be a ploy used by P. cinnamomi to enhance its chances at survival and infection. In future, determination of the levels of JA and/or its conjugates and functional studies will throw more light on their role in P. cinnamomi. Most other overrepresented proteins were found to be involved in fatty acid and amino acid metabolism, the TCA cycle, acetyl CoA metabolism, and biosynthesis of cofactors such as S-adenosylmethionine, CoA and heme, which could act as precursors/intermediates in the biosynthesis of various secondary metabolites. No prior studies have reported the induction of secondary metabolite biosynthesis in P. cinnamomi following in vitro Phi treatment. This warrants further investigation to elucidate the potential role of these metabolites under Phi-induced stress.

 3.3.2.6 Protein degradation machinery is differentially regulated

The ubiquitin-proteasome pathway plays a key role in the degradation of soluble, short-lived intracellular proteins involved in various regulatory cellular processes such as cell cycle control, gene expression, signal transduction, and metabolism. It also facilitates the targeted elimination of misfolded and damaged proteins (Staszczak, 2021), thereby maintaining protein quality and cellular homeostasis. This system is important under both normal as well as stress conditions, where its components are often differentially expressed (Andronis et al., 2024; Cao and Xue, 2021). In vitro Phi treatment of the P. cinnamomi significantly increased the abundance of several ubiquitin-proteasome subunit proteins (activator-subunit-1, beta-type-6, Cue, PI31; log2FC > 0.58; Supplementary Table S1, and Figure 4). In addition, multiple proteins/subunits/regulatory proteins involved in the ubiquitin-proteasome pathway were differentially expressed (16 upregulated and 14 downregulated; Supplementary Table S1, and Figure 5). Andronis et al. (2024), however, reported an enrichment of the proteasome complex proteins. Our findings suggest that Phi-induced stress triggers a complex regulation of the ubiquitin-proteosome system to maintain protein homeostasis and adapt to cellular stress.

 3.4 Increased expression of serine proteases contributes to stress response

A significant increase in the abundance of five serine protease family members (log2FC = 2.06, 1.39, 1.29, 0.85, 0.65) was observed in PcGKB4 following in vitro Phi treatment (Supplementary Table S1). This upregulation is crucial for the oomycete, as serine proteases are essential in protein turnover, signal peptide cleavage, protein maturation, nutrient uptake, cytochrome processing in mitochondria, and signal transduction. In addition to these fundamental functions, serine proteases have also been implicated in oxidative stress responses. In Clonostachys rosea, they contribute to stress tolerance by preventing protein aggregation and acting as molecular chaperones. They also facilitate autophagic recycling under nutrient-deficient conditions, a mechanism essential for survival in yeast (Muszewska et al., 2017; Zou et al., 2010). Significant increase in the abundance of serine proteases is consistent with the upregulation of proteolytic enzymes reported by Andronis et al. (2024).

 3.5 Peroxisomal proteins involved in β-oxidation and detoxification of reactive species are upregulated

Peroxisomes are important organelles involved in lipid homeostasis, ROS detoxification, and secondary metabolite metabolism (Steinberg, 2016). In the present study, an increased abundance of enzymes involved in fatty acid catabolism was observed, including long-chain acyl-CoA synthetase (log2FC = 1.04), peroxisomal multifunctional enzyme type 2 (log2FC = 0.79), hydroxy methylglutaryl CoA-lyase (log2FC = 0.84), 3-ketoacyl-CoA-thiolase-A (log2FC = 1.39). These enzymes contribute to energy production and are accompanied by increased levels of ROS detoxification enzymes such as thioredoxin-dependent peroxide reductase (log2FC = 0.74), catalase (log2FC = 0.89), and superoxide dismutase (log2FC = 1.12), suggesting a coordinated response to the oxidative stress induced by the xenobiotic, Phi. Furthermore, bifunctional epoxide hydrolase 2 (log2FC = 2.10) involved in detoxication of highly reactive epoxides into less harmful diols, and various xenobiotics was significantly upregulated (Gautheron and Jéru, 2021). Epoxides are known to damage cellular macromolecules such as nucleic acid, lipids and proteins. This upregulation of protective enzymes indicates the intracellular induction of deleterious reactive species in response to Phi treatment. Additionally, peroxisomal membrane protein PEX16 (log2FC = 1.19) which is essential for peroxisome biogenesis, was also upregulated (Supplementary Tables S1, S3, and Figure 5), further highlighting an adaptive peroxisomal response.

 3.6 Upregulation of multiple antioxidants/ROS scavengers indicates oxidative stress

The upregulation of a multitude of ROS scavengers or antioxidant proteins in response to Phi treatment indicates that P. cinnamomi is experiencing significant oxidative stress. Among these, catalase/peroxidase-HPI (log2FC = 2.76), superoxide dismutase (log2FC = 1.16), glutathione S-transferase (log2FC = 1.05) and glutathione transferase theta class (log2FC = 0.84), catalase (log2FC = 0.89), thioredoxin-dependent peroxide reductase (log2FC = 0.74), and thioredoxin-like protein (log2FC = 0.67), were all induced as part of stress-induced protective responses (Supplementary Table S1). Interestingly, some redundant antioxidant enzymes (glutathione peroxidase, log2FC = −0.70; thioredoxin, log2FC = −1.35; catalase, log2FC = −1.49) were downregulated—potentially to alleviate strain on the protein synthesis machinery and to maintain redox homeostasis. However, this downregulation could adversely impact P. cinnamomi's oxidative stress response, aligning with the significant reduction in mycelial growth following Phi treatment. In C. albicans, catalase, glutathione and thioredoxin systems are activated in response to oxidative damage, with catalase acting as the first responder (Dantas Ada et al., 2015; Komalapriya et al., 2015).

Endogenous ROS such as hydrogen peroxide (H2O2), hydroxyl radical (HO·) and superoxide (O2-) are inevitable byproducts of cellular respiration, primarily generated in mitochondria. While low levels of ROS serve as secondary messengers that support fungal growth and development, excessive accumulation leads to cytotoxicity by damaging cellular macromolecules. Superoxide dismutases (SODs) detoxify HO· and O2- by converting them into H2O2, which is further neutralized into H2O and dioxygen by catalases and peroxidases (Yaakoub et al., 2022).

Glutathione, a tripeptide composed of Glu-Cys-Gly, functions as a crucial cofactor for antioxidant enzymes like glutathione peroxidases and glutathione S-transferases. It also directly scavenges the free radicals through redox reactions. In fungal systems deletion of the glutathione genes negatively affected growth and fitness (Wangsanut and Pongpom, 2022). Similarly, the antioxidant thioredoxin system comprised of thioredoxin, thioredoxin reductase, and peroxiredoxin plays a key role in oxidative stress management. In Aspergillus nidulans, deletion of these components resulted in reduced mycelial growth due to the inability to manage the oxidative stress (Thon et al., 2007). Furthermore, studies in Cryptococcus neoformans using thioredoxin reductase promoter replacement showed the enzyme's essential role in fungal cell viability, highlighting it as a potential antifungal target against this opportunistic pathogen (Missall and Lodge, 2005).

α-1,3-mannosyltransferase (log2FC = 3.72), in the rice blast fungus M. oryzae was shown to be important in vegetative as well as invasive growth, cell wall integrity, conidia formation, cellular localization and secretion of various proteins, suppression of ROS production and virulence (Chen et al., 2014). Its upregulation during Phi exposure in P. cinnamomi may be to repress oxidative stress and aid in protein localization through N-glycosylation.

Pyridoxal biosynthesis lyase, essential for vitamin B6 biosynthesis, was significantly upregulated (log2FC = 1.95), consistent with findings from a related study (King et al., 2010). Vitamin B6, in addition to its role in the metabolism of carbohydrates, fats and proteins, also acts as an antioxidant (Mooney et al., 2009), potentially contributing to the oxidative stress response in P. cinnamomi.

 3.7 Downregulation of membrane and transmembrane proteins may impact nutrient and Phi flux

We found membrane and transmembrane proteins to be predominantly downregulated (Supplementary Table S2); including five ABC superfamily proteins (log2FC between −0.13 to −0.69 and one single MFS (log2FC = −0.81) (Supplementary Table S1). ABC and MFS transporters are vital for nutrient uptake, molecular transport, signal transduction, stress response, maintaining membrane integrity, and for dealing with xenobiotics (Drew et al., 2021; Viglas and Olejnikova, 2021). Their downregulation in response to Phi may impact both nutrient availability and Phi efflux, potentially contributing to Phi accumulation and toxicity (Figure 5). This dual role of transporters—as both entry and exit routes for Phi—underscores their contradictory effect under xenobiotic stress. Future studies quantifying intra- and extracellular Phi could clarify its transport dynamics and correlation with growth inhibition. On the contrary Phi sensitive P. cinnamomi isolate showed enrichment of transmembrane transport proteins post Phi treatment (Andronis et al., 2024).

 4 Conclusion

To the best of our knowledge, this is the first study reporting on Phi-induced upregulation of mitochondrial protein translocases, putrescine biosynthesis, peroxisomal proteins, and alternative energy generation through the activation of β-oxidation and amino acid catabolism. We have also shown the downregulation of enzymes associated with pyruvate metabolism and differential expression of proteins involved in the biosynthesis of secondary metabolites and intermediates/precursors involved in their biosynthesis, not reported earlier. Common responses with the previous study (Andronis et al., 2024) included suppression of the glycolytic pathway, mitochondrial electron transport chain components, and upregulation of antioxidants, RNA processing proteins and proteases. The expression trends of mitochondrial large ribosome subunits and transmembrane proteins were found to be opposite to the previous report (Andronis et al., 2024). In contrast to Andronis et al. (2024) the current study found no changes in the abundance levels of proteins involved in inositol phosphorylation, biosynthesis, or signaling proteins, protein phosphorylation, DNA damage response, regulators of cell growth and metabolism.

Phi inhibits P. cinnamomi growth predominantly by reducing the abundance of key oxidoreductases involved in bioenergetics, redox homeostasis and other metabolic processes. Disruptions to mitochondrial machinery leading to changes in energy metabolism, oxidative stress, and membrane/transmembrane proteins are the major driving factors that affect the cellular functioning and growth. Additionally, increase in putrescine biosynthesis, a decline in the abundance of major membrane transporters, pyruvate metabolism, and changes in cellular homeostasis may also contribute to the observed inhibition of growth. The potential role of secondary metabolites in Phi-induced stress needs further investigation. Upregulation of mitochondrial translation and translocation machinery, peroxisomal proteins, alternate energy-generating pathways, and antioxidants could be a survival strategy employed by P. cinnamomi, through the partial restoration of cellular homeostasis. The present study contributes to our still limited understanding of the underlying basis of the direct molecular effects of Phi on oomycete pathogens. To build on these findings, multi-omics approaches are essential to identify additional molecular targets and validate their function. A deeper understanding into Phi's mode of action will aid in the development of improved or novel chemical intervention strategies to manage oomycete pathogens.

 5 Future perspectives

To achieve a more comprehensive understanding of the direct inhibitory mechanism of Phi on P. cinnamomi the following key directions are recommended:

Establish standardized protocols for evaluating Phi sensitivity of P. cinnamomi isolates. This includes standardizing culture media composition, Pi (phosphate) concentration, incubation conditions (time and temperature), Phi source and concentration (EC50), and sensitivity assessment methods (preferably optical density-based growth measurements). This is to ensure reproducibility and comparability across studies conducted in different laboratories.

Screen a diverse set of P. cinnamomi isolates with varying Phi sensitivities, collected from distinct geographical locations with different histories of Phi usage. Apply a multi-omics approach (genomics, transcriptomics, proteomics, metabolite profiling) to identify key molecular players involved in Phi response.

Conduct temporal studies to correlate the omics data with the observed changes in vegetative and reproductive morphology.

Monitor the temporal dynamics of Pi:Phi concentrations: both intracellularly and in culture filtrates. This will be crucial for correlating the Pi:Phi flux with observed molecular and phenotypic changes as a result of Phi.

Investigate the global phosphorylation status of proteins in response to Phi to uncover potential disruptions in key signaling and regulatory pathways.

Functionally characterize candidate genes and proteins identified through omics analyses to elucidate their roles in Phi-mediated inhibition. This will help uncover the molecular basis of Phi's direct mode of action and may reveal potential targets for improved disease control strategies.

Leverage the key molecular targets/pathways identified by the multi-omics approach followed by functional studies to develop new chemicals to mitigate the chemical resistance. In cases where chemicals targeting one or more key molecular targets of interest are already available in the market (against other pathogens) they can be screened for their efficacy and adapted into the current system, if applicable.

 Data availability statement

The original contributions presented in the study are publicly available. This data can be found in here: https://www.ebi.ac.uk/pride/archive/, PXD063718.

 Author contributions

SAP: Investigation, Conceptualization, Formal analysis, Methodology, Writing – original draft, Visualization, Data curation. PN: Investigation, Writing – review & editing, Methodology, Data curation. TAD: Writing – review & editing, Data curation, Conceptualization. ISG: Methodology, Investigation, Writing – review & editing. JE: Methodology, Investigation, Writing – review & editing. RB: Data curation, Writing – review & editing. SHS: Writing – review & editing, Supervision, Conceptualization. NvdB: Conceptualization, Funding acquisition, Supervision, Writing – review & editing.

 Funding

The author(s) declare that financial support was received for the research and/or publication of this article. Research funding was received from the Hans Merensky Legacy Foundation and the post-doctoral grant was from the University of Pretoria.

The authors thank the infrastructure provided by Forestry and Agricultural Biotechnology Institute, University of Pretoria and the Proteomics Facility at the African Centre for Gene Technologies, Council for Scientific and Industrial Research, Pretoria, South Africa.

 Conflict of interest

PN was employed by ReSyn Biosciences. SHS was employed by Evosep Aps. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision. The reviewer RD declared a shared parent affiliation with the author ISG to the handling editor at the time of review.

 Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

 Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

 Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2025.1632726/full#supplementary-material

Heatmap displaying the expression of significantly differentially expressed proteins in Phytophthora cinnamomi isolate GKB4 (untreated control vs. Phi-treated samples).

 References Ackema K. B. Hench J. Böckler S. Wang S. C. Sauder U. Mergentaler H. . (2014). The small GTPase Arf1 modulates mitochondrial morphology and function. EMBO J. 33, 2659–2675. 10.15252/embj.20148903925190516 Afek U. Sztejnberg A. (1989). Effects of fosetyl-Al and phosphorous acid on scoparone, a phytoalexin associated with resistance of citrus of Phytophthora citrophthora. Phytopathology 79, 736–739. 10.1094/Phyto-79-736 Aliyu S. R. Lin L. Chen X. Abdul W. Lin Y. Otieno F. J. . (2019). Disruption of putative short-chain acyl-CoA dehydrogenases compromised free radical scavenging, conidiogenesis, and pathogenesis of Magnaporthe oryzae. Fungal Genet. Biol. 127, 23–34. 10.1016/j.fgb.2019.02.01030822500 Alves R. Gourlay C. W. (2024). Editorial: mitochondrial function and dysfunction in pathogenic fungi. Front. Physiol. 15:1506684. 10.3389/fphys.2024.150668439534857 Andronis C. E. Jacques S. Lopez-Ruiz F. J. Lipscombe R. Tan K. C. (2024). Proteomic analysis revealed that the oomyceticide phosphite exhibits multi-modal action in an oomycete pathosystem. J. Proteomics 301, 105181. 10.1016/j.jprot.2024.10518138670258 Baker M. J. Mooga V. P. Guiard B. Langer T. Ryan M. T. Stojanovski D. (2012). Impaired folding of the mitochondrial small TIM chaperones induces clearance by the i-AAA protease. J. Mol. Biol. 424, 227–239. 10.1016/j.jmb.2012.09.01923036860 Barsottini M. R. Pires B. A. Vieira M. L. Pereira J. G. Costa P. C. Sanita J. . (2019). Synthesis and testing of novel alternative oxidase (AOX) inhibitors with antifungal activity against Moniliophthora perniciosa (Stahel), the causal agent of witches' broom disease of cocoa, and other phytopathogens. Pest Manag. Sci. 75, 1295–1303. 10.1002/ps.524330350447 Batth T. S. Tollenaere M. X. Ruther P. Gonzalez-Franquesa A. Prabhakar B. S. Bekker-Jensen S. . (2019). Protein aggregation capture on microparticles enables multipurpose proteomics sample preparation. Mol. Cell. Proteomics 18, 1027–1035. 10.1074/mcp.TIR118.00127030833379 Bertgen L. Flohr T. Herrmann J. M. (2023). “Methods to study the biogenesis of mitoribosomal proteins in yeast,” in The Mitoribosome: Methods and Protocols, eds. Barrientos A. Fontanesi F. (New York, NY: Springer US), p. 183–198.37166637 Boulle M. Stewart B. A. Barrett S. (2023). To spray or not to spray: Impact of phosphite spraying for Phytophthora cinnamomi control on Proteaceae species in southwestern Australia. Conserv. Sci. Pract. 5:e12903. 10.1111/csp2.12903 Brown S. Koike S. T. Ochoa O. E. Laemmlen F. F. Michelmore R. W. (2004). Insensitivity to the fungicide fosetyl-aluminum in California isolates of the lettuce downy mildew pathogen, Bremia lactucae. Plant Dis. 88, 502–508. 10.1094/PDIS.2004.88.5.50230812654 Bultreys A. Gheysen I. Rousseau G. Pitchugina E. Planchon V. Magein H. (2018). Antibacterial activity of fosetyl-Al, ethyl-phosphite and phosphite against Pseudomonas syringae on plant surfaces and in vitro. Plant Pathol. 67, 1955–1966. 10.1111/ppa.12918 Cao C. Xue C. (2021). More than just cleaning: ubiquitin-mediated proteolysis in fungal pathogenesis. Front. Cell. Infect. Microbiol. 11:774613. 10.3389/fcimb.2021.77461334858882 Chahed A. Lazazzara V. Moretto M. Nesler A. Corneo P. E. Barka E. A. . (2021). The differential growth inhibition of Phytophthora spp. caused by the rare sugar tagatose is associated with species-specific metabolic and transcriptional changes. Front. Microbiol. 12:711545. 10.3389/fmicb.2021.71154534305881 Chen X. L. Shi T. Yang J. Shi W. Gao X. Chen D. . (2014). N-glycosylation of effector proteins by an alpha-1,3-mannosyltransferase is required for the rice blast fungus to evade host innate immunity. Plant Cell 26, 1360–1376. 10.1105/tpc.114.12358824642938 Chini A. Cimmino A. Masi M. Reveglia P. Nocera P. Solano R. Evidente A. (2018). The fungal phytotoxin lasiojasmonate A activates the plant jasmonic acid pathway. J. Exp. Bot. 69, 3095–3102. 10.1093/jxb/ery11429590430 Dalio R. J. Fleischmann F. Humez M. Osswald W. (2014). Phosphite protects Fagus sylvatica seedlings towards Phytophthora plurivora via local toxicity, priming and facilitation of pathogen recognition. PLoS ONE 9:e87860. 10.1371/journal.pone.008786024489973 Daniel R. Guest D. (2006). Defence responses induced by potassium phosphonate in Phytophthora palmivora-challenged Arabidopsis thaliana. Physiol. Mol. Plant Pathol. 67, 194–201. 10.1016/j.pmpp.2006.01.003 Dann E. McLeod A. (2021). Phosphonic acid: A long-standing and versatile crop protectant. Pest Manag. Sci. 77, 2197–2208. 10.1002/ps.615633099862 Dantas Ada S. Day A. Ikeh M. Kos I. Achan B. Quinn J. (2015). Oxidative stress responses in the human fungal pathogen, Candida albicans. Biomolecules 5, 142–165. 10.3390/biom501014225723552 Davis R. H. Ristow J. L. (1991). Polyamine toxicity in Neurospora crassa: protective role of the vacuole. Arch. Biochem. Biophys. 285, 306–311. 10.1016/0003-9861(91)90364-O1832828 Deng L. Hao J. Feng J. Zhao J. Dao J. Xu G. . (2025). Transcriptomic analysis of Phytophthora infestans races and evaluation of their pathogenicity on potato. BMC Plant Biol. 25:716. 10.1186/s12870-025-06736-y40437352 Deutsch E. W. Bandeira N. Perez-Riverol Y. Sharma V. Carver J. J. Mendoza L. . (2022). The ProteomeXchange consortium at 10 years: 2023 update. Nucleic Acids Res. 51, D1539–D1548. 10.1093/nar/gkac104036370099 Dreher M. L. Davenport A. J. (2013). Hass avocado composition and potential health effects. Crit. Rev. Food Sci. Nutr. 53, 738–750. 10.1080/10408398.2011.55675923638933 Drew D. North R. A. Nagarathinam K. Tanabe M. (2021). Structures and general transport mechanisms by the major facilitator superfamily (MFS). Chem. Rev. 121, 5289–5335. 10.1021/acs.chemrev.0c0098333886296 Dunstan R. H. Smillie R. H. Grant B. R. (1990). The effects of sub-toxic levels of phosphonate on the metabolism and potential virulence factors of Phytophthora palmivora. Physiol. Mol. Plant Pathol. 36, 205–220. 10.1016/0885-5765(90)90026-T El-Gendi H. Saleh A. K. Badierah R. Redwan E. M. El-Maradny Y. A. El-Fakharany E. M. (2022). A comprehensive insight into fungal enzymes: Structure, classification, and their role in mankind's challenges. J. Fungi 8:23. 10.3390/jof801002335049963 Engelbrecht J. Duong T. A. Berg N. V. D. (2013). Development of a nested quantitative real-time PCR for detecting Phytophthora cinnamomi in Persea americana rootstocks. Plant Dis. 97, 1012–1017. 10.1094/PDIS-11-12-1007-RE30722481 Engelbrecht J. Duong T. A. Prabhu S. A. Seedat M. Van Den Berg N. (2021). Genome of the destructive oomycete Phytophthora cinnamomi provides insights into its pathogenicity and adaptive potential. BMC Genomics 22:302. 10.1186/s12864-021-07552-y33902447 Eshraghi L. Anderson J. Aryamanesh N. Shearer B. McComb J. Hardy G. E. S. O'Brien P. A. (2011). Phosphite primed defence responses and enhanced expression of defence genes in Arabidopsis thaliana infected with Phytophthora cinnamomi. Plant Pathol. 60, 1086–1095. 10.1111/j.1365-3059.2011.02471.x Fan A. C. Y. Young J. C. (2011). Function of cytosolic chaperones in Tom70-mediated mitochondrial import. Protein Pept. Lett. 18, 122–131. 10.2174/09298661179447502020955164 Gamarnik A. V. Frydman R. B. Barreto D. E. (1994). Prevention of infection of soybean seeds by Colletotrichum truncatum by polyamine biosynthesis inhibitors. Phytopathology 84, 1445–1448. 10.1094/Phyto-84-1445 Garriz A. Dalmasso M. C. Pieckenstain F. L. Ruiz O. A. (2003). The putrescine analogue 1-aminooxy-3-aminopropane perturbs polyamine metabolism in the phytopathogenic fungus Sclerotinia sclerotiorum. Arch. Microbiol. 180, 169–175. 10.1007/s00203-003-0572-112851744 Gautheron J. Jéru I. (2021). The multifaceted role of epoxide hydrolases in human health and disease. Int. J. Mol. Sci. 22, 13. 10.3390/ijms2201001333374956 Geng X. Jin L. Shimada M. Kim M. G. Mackey D. (2014). The phytotoxin coronatine is a multifunctional component of the virulence armament of Pseudomonas syringae. Planta 240, 1149–1165. 10.1007/s00425-014-2151-x25156488 Gent D. H. Block M. Claassen B. J. (2020). High levels of insensitivity to phosphonate fungicides in Pseudoperonospora humuli. Plant Dis. 104, 1400–1406. 10.1094/PDIS-10-19-2067-RE32196418 Gill U. S. Sun L. Rustgi S. Tang Y. Von Wettstein D. Mysore K. S. (2018). Transcriptome-based analyses of phosphite-mediated suppression of rust pathogens Puccinia emaculata and Phakopsora pachyrhizi and functional characterization of selected fungal target genes. Plant J. 93, 894–904. 10.1111/tpj.1381729315949 Gollop N. March P. (1991). A GTP-binding protein (Era) has an essential role in growth rate and cell cycle control in Escherichia coli. J. Bacteriol. 173, 2265–2270. 10.1128/jb.173.7.2265-2270.19911901053 Groves E. Howard K. Hardy G. Burgess T. (2014). Role of salicylic acid in phosphite-induced protection against oomycetes; a Phytophthora cinnamomi- Lupinus augustifolius model system. Eur. J. Plant Pathol. 141, 559–569. 10.1007/s10658-014-0562-y Gruffaz C. Smirnov A. (2023). GTPase Era at the heart of ribosome assembly. Front. Mol. Biosci. 10:1263433. 10.3389/fmolb.2023.126343337860580 Gu Z. (2022). Complex heatmap visualization. iMeta 1:e43. 10.1002/imt2.4338868715 Guarino L. A. Cohen S. S. (1979). Mechanism of toxicity of putrescine in Anacystis nidulans. Proc. Natl. Acad. Sci. 76, 3660–3664. 10.1073/pnas.76.8.366040229 Guest D. I. Grant B. R. (1991). The complex action of phosphonates as antifungal agents. Biol. Rev. 66, 159–187. 10.1111/j.1469-185X.1991.tb01139.x Guo M. Li B. Xiang Q. Wang R. Liu P. Chen Q. (2021). Phosphite translocation in soybean and mechanisms of Phytophthora sojae inhibition. Pestic. Biochem. Physiol. 172:104757. 10.1016/j.pestbp.2020.10475733518050 Hao W. Forster H. Adaskaveg J. E. (2021). Resistance to potassium phosphite in Phytophthora species causing citrus brown rot and integrated practices for management of resistant isolates. Plant Dis. 105, 972–977. 10.1094/PDIS-06-20-1414-RE32886038 Hardham A. R. Blackman L. M. (2018). Phytophthora cinnamomi. Mol. Plant Pathol. 19, 260–285. 10.1111/mpp.1256828519717 Hardy G. S. J. Barrett S. Shearer B. (2001). The future of phosphite as a fungicide to control the soilborne plant pathogen Phytophthora cinnamomi in natural ecosystems. Australas. Plant Pathol. 30, 133–139. 10.1071/AP01012 Harper L. Balasubramanian D. Ohneck E. A. Sause W. E. Chapman J. Mejia-Sosa B. . (2018). Staphylococcus aureus responds to the central metabolite pyruvate to regulate virulence. mBio 9:e02272-17. 10.1128/mBio.02272-1729362239 Havis N. D. Walters D. R. Foster S. A. Martin W. Cook F. M. Robins D. J. (1994). Fungicidal activity of the synthetic putrescine analogue, (E)-1,4-diaminobut-2-ene, and derivatives. Pestic. Sci. 41, 61–69. 10.1002/ps.2780410111 Hüberli D. Tommerup I. C. Hardy G. E. S. J. (2000). False-negative isolations or absence of lesions may cause mis-diagnosis of diseased plants infected with Phytophthora cinnamomi. Australas. Plant Pathol. 29, 164–169. 10.1071/AP00029 Hunter S. McDougal R. Williams N. Scott P. (2023). Evidence of phosphite tolerance in Phytophthora cinnamomi from New Zealand avocado orchards. Plant Dis. 107, 393–400. 10.1094/PDIS-05-22-1269-RE36089692 Hunter S. Waipara N. Burns B. Scott P. Williams N. (2024). Impacts of phosphite treatment on Phytophthora community assemblages and inoculum abundances in Phytophthora-infected forest soil. Trees For. People 18:100664. 10.1016/j.tfp.2024.100687 Hunter S. Williams N. McDougal R. Scott P. Garbelotto M. (2018). Evidence for rapid adaptive evolution of tolerance to chemical treatments in Phytophthora species and its practical implications. PLoS ONE 13:e0208961. 10.1371/journal.pone.020896130532144 Itoh Y. Naschberger A. Mortezaei N. Herrmann J. M. Amunts A. (2020). Analysis of translating mitoribosome reveals functional characteristics of translation in mitochondria of fungi. Nat. Commun. 11:5187. 10.1038/s41467-020-18830-w33056988 Jackson T. J. Burgess T. Colquhoun I. Hardy G. E. S. J. (2000). Action of the fungicide phosphite on Eucalyptus marginata inoculated with Phytophthora cinnamomi. Plant Pathol. 49, 147–154. 10.1046/j.1365-3059.2000.00422.x Jung D. Bachmann H. S. (2023). Regulation of protein prenylation. Biomed. Pharmacother. 164:114915. 10.1016/j.biopha.2023.11491537236024 Khdiar M. Y. Burgess T. I. Barber P. A. Hardy G. E. S. J. (2022). Calcium chelate is as effective as phosphite in controlling Phytophthora root rot in glasshouse trials. Plant Pathol. 72, 112–119. 10.1111/ppa.13642 King M. Reeve W. Van Der Hoek M. B. Williams N. McComb J. O'Brien P. A. Hardy G. E. S. J. (2010). Defining the phosphite-regulated transcriptome of the plant pathogen Phytophthora cinnamomi. Mol. Genet. Genomics 284, 425–435. 10.1007/s00438-010-0579-720882389 Koenig C. Martinez-Val A. Naicker P. Stoychev S. Jordaan J. Olsen J. V. (2023). Protocol for high-throughput semi-automated label-free- or TMT-based phosphoproteome profiling. STAR Protoc. 4:102536. 10.1016/j.xpro.2023.10253637659085 Komalapriya C. Kaloriti D. Tillmann A. T. Yin Z. Herrero-de-Dios C. Jacobsen M. D. . (2015). Integrative model of oxidative stress adaptation in the fungal pathogen Candida albicans. PLoS ONE 10:e0137750. 10.1371/journal.pone.013775026368573 Laemmli U. (1970). Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 227, 680–685. 10.1038/227680a05432063 Liu Y. Burke D. J. Medeiros J. S. Carrino-Kyker S. R. Burns J. H. (2023). Phosphite indirectly mediates protection against root rot disease via altering soil fungal community in Rhododendron species. Plant Soil 491, 467–478. 10.1007/s11104-023-06129-w Liu Y. Pagac M. Yang F. Patkar R. N. Naqvi N. I. (2021). Fungal jasmonate as a novel morphogenetic signal for pathogenesis. J. Fungi 7:693. 10.3390/jof709069334575731 Ludwig C. Gillet L. Rosenberger G. Amon S. Collins B. C. Aebersold R. (2018). Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial. Mol. Syst. Biol. 14:e8126. 10.15252/msb.2017812630104418 Luevano-Martinez L. A. Caldeira da Silva C. C. Nicastro G. G. Schumacher R. I. Kowaltowski A. J. Gomes S. L. (2019). Mitochondrial alternative oxidase is determinant for growth and sporulation in the early diverging fungus Blastocladiella emersonii. Fungal Biol. 123, 59–65. 10.1016/j.funbio.2018.11.00530654958 Ma J. McLeod A. (2014). In vitro sensitivity of South African Phytophthora cinnamomi to phosphite at different phosphate concentrations. S. Afr. Avocado Growers' Assoc. Yearb. 37, 79–84. Mehta D. Ghahremani M. Perez-Fernandez M. Tan M. Schlapfer P. Plaxton W. C. Uhrig R. G. (2021). Phosphate and phosphite have a differential impact on the proteome and phosphoproteome of Arabidopsis suspension cell cultures. Plant J. 105, 924–941. 10.1111/tpj.1507833184936 Missall T. A. Lodge J. K. (2005). Thioredoxin reductase is essential for viability in the fungal pathogen Cryptococcus neoformans. Eukaryot. Cell 4, 487–489. 10.1128/EC.4.2.487-489.200515701811 Mooney S. Leuendorf J. E. Hendrickson C. Hellmann H. (2009). Vitamin B6: a long known compound of surprising complexity. Molecules 14, 329–351. 10.3390/molecules1401032919145213 Morris S. M. Jr. (2002). Regulation of enzymes of the urea cycle and arginine metabolism. Annu. Rev. Nutr. 22, 87–105. 10.1146/annurev.nutr.22.110801.14054712055339 Muszewska A. Stepniewska-Dziubinska M. M. Steczkiewicz K. Pawlowska J. Dziedzic A. Ginalski K. (2017). Fungal lifestyle reflected in serine protease repertoire. Sci. Rep. 7:9147. 10.1038/s41598-017-09644-w28831173 Nemestothy G. S. Guest D. I. (1990). Phytoalexin accumulation, phenylalanine ammonia lyase activity and ethylene biosynthesis in fosetyl-Al treated resistant and susceptible tobacco cultivars infected with Phytophthora nicotianae var. nicotianae. Physiol. Mol. Plant Pathol. 37, 207–219. 10.1016/0885-5765(90)90012-M Oka Y. Tkachi N. Mor M. (2007). Phosphite inhibits development of the nematodes Heterodera avenae and Meloidogyne marylandi in cereals. Phytopathology 97, 396–404. 10.1094/PHYTO-97-4-039618943279 Palmieri F. (2013). “Mitochondrial metabolite carrier protein family,” in Encyclopedia of Biological Chemistry. Amsterdam: Elsevier, p. 205–210. Patkar R. N. Benke P. I. Qu Z. Constance Chen Y. Y. Yang F. Swarup S. Naqvi N. I. (2015). A fungal monooxygenase-derived jasmonate attenuates host innate immunity. Nat. Chem. Biol. 11, 733–740. 10.1038/nchembio.188526258762 Perez V. Mamdouh A. Huet J. Pernollet J. Bompeix G. (1995). Enhanced secretion of elicitins by Phytophthora fungi exposed to phosphonate. Cryptogamie Mycol. 16, 191–194. 10.5962/p.35463133311142 Pérez-Jiménez R. M. (2008). Significant avocado diseases caused by fungi and oomycetes. Eur. J. Plant Sci. Biotechnol. 2, 1–24. Perez-Riverol Y. Csordas A. Bai J. Bernal-Llinares M. Hewapathirana S. Kundu D. J. . (2019). The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. 47, D442–D450. 10.1093/nar/gky110630395289 Rajam M. V. Galston A. W. (1985). The effects of some polyamine biosynthetic inhibitors on growth and morphology of phytopathogenic fungi. Plant Cell Physiol. 26, 683–692. 10.1093/oxfordjournals.pcp.a07695811541300 Ribeiro O. K. Erwin D. C. Zentmyer G. A. (1975). An improved synthetic medium for oospore production and germination of several Phytophthora species. Mycologia 67, 1012–1019. 10.1080/00275514.1975.120198341196330 Ritz C. Baty F. Streibig J. C. Gerhard D. (2015). Dose-response analysis using R. PLoS ONE 10:e0146021. 10.1371/journal.pone.014602126717316 Saindrenan P. Barchietto T. Avelino J. Bompeix G. (1988). Effects of phosphite on phytoalexin accumulation in leaves of cowpea infected with Phytophthora cryptogea. Physiol. Mol. Plant Pathol. 32, 425–435. 10.1016/S0885-5765(88)80035-3 Shannon P. Markiel A. Ozier O. Baliga N. S. Wang J. T. Ramage D. . (2003). Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 13, 2498–2504. 10.1101/gr.123930314597658 Shapira R. Altman A. Henis Y. Chet I. (1989). Polyamines and ornithine decarboxylase activity during growth and differentiation in Sclerotium rolfsii. J. Gen. Microbiol. 135, 1361–1367. 10.1099/00221287-135-5-1361 Sinensky M. (2000). Functional aspects of polyisoprenoid protein substituents: Roles in protein–protein interaction and trafficking. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 1529, 203–209. 10.1016/S1388-1981(00)00149-911111089 Smith T. K. (1990). Effect of dietary putrescine on whole body growth and polyamine metabolism. Proc. Soc. Exp. Biol. Med. 194, 332–336. 10.3181/00379727-194-431002388906 Solmi L. Rossi F. R. Romero F. M. Bach-Pages M. Preston G. M. Ruiz O. A. Garriz A. (2023). Polyamine-mediated mechanisms contribute to oxidative stress tolerance in Pseudomonas syringae. Sci. Rep. 13:4279. 10.1038/s41598-023-31239-x36922543 Staszczak M. (2021). Fungal secondary metabolites as inhibitors of the ubiquitin-proteasome system. Int. J. Mol. Sci. 22:11799. 10.3390/ijms22241330934948102 Steinberg G. (2016). The mechanism of peroxisome motility in filamentous fungi. Fungal Genet. Biol. 97, 33–35. 10.1016/j.fgb.2016.10.00627825929 Szklarczyk D. Kirsch R. Koutrouli M. Nastou K. Mehryary F. Hachilif R. . (2023). The STRING database in 2023: Protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 51, D638–D646. 10.1093/nar/gkac100036370105 Thon M. Al-Abdallah Q. Hortschansky P. Brakhage A. A. (2007). The thioredoxin system of the filamentous fungus Aspergillus nidulans: Impact on development and oxidative stress response. J. Biol. Chem. 282, 27259–27269. 10.1074/jbc.M70429820017631497 Toplis B. Bosch C. Schwartz I. S. Kenyon C. Boekhout T. Perfect J. R. Botha A. (2020). The virulence factor urease and its unexplored role in the metabolism of Cryptococcus neoformans. FEMS Yeast Res. 20:foaa031. 10.1093/femsyr/foaa03132490521 Tyanova S. Temu T. Sinitcyn P. Carlson A. Hein M. Y. Geiger T. . (2016). The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods 13, 731–740. 10.1038/nmeth.390127348712 Van Den Berg N. Swart V. Backer R. Fick A. Wienk R. Engelbrecht J. Prabhu S. A. (2021). Advances in understanding defense mechanisms in Persea americana against Phytophthora cinnamomi. Front. Plant Sci. 12:636339. 10.3389/fpls.2021.63633933747014 Vanlerberghe G. C. (2013). Alternative oxidase: A mitochondrial respiratory pathway to maintain metabolic and signaling homeostasis during abiotic and biotic stress in plants. Int. J. Mol. Sci. 14, 6805–6847. 10.3390/ijms1404680523531539 Viglas J. Olejnikova P. (2021). An update on ABC transporters of filamentous fungi - from physiological substrates to xenobiotics. Microbiol. Res. 246:126684. 10.1016/j.micres.2020.12668433529790 Walters D. R. Keenan J. P. Cowley T. McPherson A. Havis N. D. (1995). Inhibition of polyamine biosynthesis in Phytophthora infestans and Pythium ultimum. Plant Pathol. 44, 80–85. 10.1111/j.1365-3059.1995.tb02718.x Wang C. Wang Y. Wang Y. Wang Z. Zhang L. Liang Y. . (2020). The ADP-ribosylation factor-like small GTPase FgArl1 participates in growth, pathogenicity and DON production in Fusarium graminearum. Fungal Biol. 124, 969–980. 10.1016/j.funbio.2020.08.00433059848 Wangsanut T. Pongpom M. (2022). The role of the glutathione system in stress adaptation, morphogenesis and virulence of pathogenic fungi. Int. J. Mol. Sci. 23:10683. 10.3390/ijms23181064536142553 Wiedemann N. Truscott K. N. Pfannschmidt S. Guiard B. Meisinger C. Pfanner N. (2004). Biogenesis of the protein import channel Tom40 of the mitochondrial outer membrane: Intermembrane space components are involved in an early stage of the assembly pathway. J. Biol. Chem. 279, 18188–18194. 10.1074/jbc.M40005020014978039 Wilkinson C. J. Holmes J. M. Dell B. Tynan K. M. McComb J. A. Shearer B. L. . (2001). Effect of phosphite on in planta zoospore production of Phytophthora cinnamomi. Plant Pathol. 50, 587–593. 10.1046/j.1365-3059.2001.00605.x36089692 Wolstenholme B. N. Sheard A. (2010). Integrated management of Phytophthora root rot the Pegg Wheel updated. S. Afr. Avocado Growers' Assoc. Avoinfo Newsletter 175, 11–15. Xue Y. P. Kao M. C. Lan C. Y. (2019). Novel mitochondrial complex I-inhibiting peptides restrain NADH dehydrogenase activity. Sci. Rep. 9:13694. 10.1038/s41598-019-50114-231548559 Yaakoub H. Mina S. Calenda A. Bouchara J. P. Papon N. (2022). Oxidative stress response pathways in fungi. Cell. Mol. Life Sci. 79:333. 10.1007/s00018-022-04353-835648225 Yan M. Dai W. Cai E. Deng Y. Z. Chang C. Jiang Z. Zhang L.-H. (2016). Transcriptome analysis of Sporisorium scitamineum reveals critical environmental signals for fungal sexual mating and filamentous growth. BMC Genomics 17:354. 10.1186/s12864-016-2691-527185248 Yang X. Jiang X. Yan W. Huang Q. Sun H. Zhang X. . (2021). The mevalonate pathway is important for growth, spore production, and the virulence of Phytophthora sojae. Front. Microbiol. 12:772994. 10.3389/fmicb.2021.77299436338274 Zou C. G. Xu Y. F. Liu W. J. Zhou W. Tao N. Tu H. H. . (2010). Expression of a serine protease gene prC is up-regulated by oxidative stress in the fungus Clonostachys rosea: Implications for fungal survival. PLoS ONE 10:e0137750. 10.1371/journal.pone.001338620976223