Eight bacterial isolates were isolated from the fruiting bodies of
P. pulmonarius fungus infected with symptoms of bacterial diseases. The pathogenicity results shown in Fig 1 indicate that the highest infection rate was recorded by isolates C2, C3, S1 and S4, with infection rates of 87.42%, 82.95%, 80.06% and 77.28% respectively. The lowest infection rate was for isolate S3 at 12.37%, while isolates S2, C4 and C1 did not show any pathogenicity (infection rate was 0). One of the reasons for the variation in bacterial infection may be attributed to the fact that they are different types and each type has a genetic structure and its genetic difference is reflected in its pathogenic factors. One of the most important virulence factors is the enzymes that break down the tissues of the oyster fungus, such as enzymes (protease, chitinase and glucanase). Such enzymes have the main role in attacking the host tissues. Another reason may be due to the production of bacterial toxins, such as the tolaasin toxin, which is an extracellular bacterial toxin that attacks the tissues of the fungus and overcomes its defense mechanisms by forming pores in the cell membranes and destroying their structure
(Xu et al., 2023; Yun et al., 2023).
Molecular diagnosis of isolated bacteria
According to 16S rRNA gene sequencing, the most pathogenic bacteria were identified as four strains:
p. pleuroti strain Iraq-20,
P. reactans strain Iraq-22,
P. agarici strain Iraq-21 and
P. tolaasii strain Iraq-23. (Table 1) shows the percentage of similarity of these isolates to the highest percentage of similarity with globally registered bacterial strains and their corresponding numbers in the NCBI GeneBank database, with similarity rates ranging from 99.31% to 99.50%. These bacteria are registered in the NCBI under accession numbers PV679803.1, PV679806.1, PV679801.1 and PV679807.1, respectively.
Pathological symptoms of isolated bacterial species
Bacterial yellowing
Appearance of yellowish spots and blotches that become brownish and merge together as the infection progresses. The infection appears on the cap and along the entire stem (Fig 2A). Causal agent:
P. agarici strain Iraq-21 and
P. reactans strain Iraq-22.
Soft rot
Symptoms of water-soaked spots on the cap and stems. The general symptoms of this disease can be seen as light brown, water-soaked spots that darken in the early stages and develop into large, water-soaked spots, leading to a foul odor in severe infections during growth (Fig 2B). Causal agent:
P. pleuroti strain Iraq-20.
Bacterial brown blotch
Appearance of light to dark brown spots that spread mainly on the mushroom cap (Fig 2C). Causal agent:
P. tolaasii strain Iraq-23.
The pathological symptoms clearly show the variation between different bacteria and these results are consistent with previous studies on The bacterial pathogens of the fungus Pleurotus include multiple species associated with a wide range of different symptoms and each bacterial species has a specific pathogenic mechanism that is reflected in the nature of the symptoms appearing on the fruiting bodies and they differ substantially when each is individually infected
(Wang et al., 2024; Wei et al., 2025). The pathological symptoms caused by the isolated bacterial species are presented in Fig 2.
Properties of iron nanoparticles
Color variation
The results in the Fig 3 show a change in the solution’s color from yellow to brown, indicating the reduction of iron ions by phenolic and flavonoid compounds in the truffle extract, which acted as both reducing and coating agents. The results also showed that the extract of the fungus
T. claveryi exhibited a darker color variation than the extract of the fungus
T. nivea at all concentrations. This is likely due to its higher phenolic content. The flavonoid content led to a higher reduction than that of the
T. nivea mushroom extract.
The browning of aqueous ferrous sulfate solutions is indicative of the formation of iron nanoparticles, consistent with previous studies, confirmed that the browning and subsequent precipitation are caused by the reaction of phytochemicals such as tannins, flavonoids and phenols with metal ions, acting as both reducing and stabilizing agents during synthesis (
Mahlaule-Glory et al., 2022). This aligns with the general principle of biosynthesis, where chemical compounds such as phenols and flavonoids act as both reducing and encapsulating agents (
Ali, 2026).
Wavelengths of iron nanoparticles
The nanoparticles prepared using the fungi
T. claveryi and
T. nivea showed similar wavelength curves for both fungi at concentrations of 5, 10 and 15. The results (Fig 4) indicate that the concentrations used produced the highest peak in the spectral curves, reaching 270 nm in the ultraviolet range. In contrast, non-nanoparticle iron at the same concentrations showed a highest peak at 390 nm. This suggests that the truffle extracts led to the formation of nanoparticles, based on wavelengths close to ultraviolet, whereas the non-nanoparticle iron exhibited an absorption peak at 390 nm, closer to the visible region of the spectrum. Visible light is one of the pieces of evidence confirming the presence of nanoparticles in the fungi when the resulting peaks are in the ultraviolet range. These results are consistent with the study by
Hussain et al., (2023) and
Alzubaidy (2024), who demonstrated that the biosynthesis of iron oxide nanoparticles using
Beauveria bassiana extract resulted in a peak recorded at 282 nm in the ultraviolet range.
Electron microscopy
The shapes and dimensions of the iron nanoparticles were determined using electron microscopy (Fig 5). The particles prepared from the fungus
T. claveryi ranged in size from 15 to 83 nm, mostly spherical. The particles prepared from the fungus
T. nivea ranged in size from 14 to 91 nm, also spherical, with some exhibiting cubical shapes. Overall, extracts from both fungi resulted in the formation of nanoparticles with dimensions within the nanoscale range. These results are consistent with those of
Bhargava et al. (2014), who demonstrated that extracellular fungal synthesis of iron nanoparticles using
Aspergillus japonicus produced cubic particles ranging in size from 60 to 70 nm with a crystalline structure, confirming the role of fungal proteins in nanoparticle synthesis and stabilization. The properties of iron nanoparticles are determined by chemical and physical factors, including size, shape, surface charge and paramagnetic behavior. These properties collectively influence their biological distribution and antibacterial activity
(Hetta et al., 2021).
Effect of FeNPs from the fungus T. claveryi on inhibiting pathogenic bacteria of the oyster mushroom
The results in Fig 6 showed that all concentrations of iron nanoparticles were more effective against all tested bacteria than non-nanoparticle iron sulfate. At 15 mM, the inhibition zones ranged from 2.76 to 3.33 cm for FeNPs and from 1.07 to 1.64 cm for FeSO
4. Fig. 8 illustrates the inhibitory effect of T. claveryi-derived FeNPs at 5-15 mM against
P. agarici, compared with 15 mM FeSO
4.
Effect of FeNPs from the fungus T. nivea on inhibiting pathogenic bacteria of the oyster mushroom
As shown in Fig 7, FeNPs prepared from
T. nivea were more effective than FeSO
4 against all tested bacteria. At 15 mM, the inhibition zones ranged from 2.45 to 3.02 cm for FeNPs and from 0.93 to 1.50 cm for FeSO
4.
Fig 8 illustrates the effect of concentrations (5-15 mM) of iron nanoparticles prepared from the fungus
T. claveryi, which showed the highest efficacy against the bacterium
P. agarici, compared to a concentration of 15 mM of non-nanoparticle iron sulfate (FeSO
4).
Furthermore, biosynthesis using
T. claveryi may impart additional properties to these particles due to the associated bioactive compounds
(Ahmadi et al., 2021; Mohamed-Benkada et al., 2024). The variation in susceptibility among the four bacterial species may be attributed to differences in cell wall structure and resistance mechanisms (
Zúñiga-Miranda et al., 2023).
This superiority of iron nanoparticles can be explained by their nanoscale dimensions and high surface area to volume ratio, which increases the area of interaction with bacterial cells and enhances surface interactions with them. This can lead to disruption of cell membrane integrity and increased generation of reactive oxygen species (ROS), which trigger a cascade of cellular damage including lipid peroxidation in the cell membrane, DNA damage and impaired replication, protein oxidation and disruption of several cellular systems and enzymes (
Natan and Banin, 2017;
Shoudho et al., 2024). Direct interaction between nanoparticles and the cell surface can also contribute to cell membrane disruption and some particles may penetrate the cell, leading to cellular homeostasis and metabolic disturbances, thereby inhibiting bacterial growth
(Li et al., 2018).