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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1600620</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Dynamic proteomic changes and ultrastructural insights into <italic>Pochonia chlamydosporia</italic>&#x2019;s parasitism of <italic>Parascaris equorum</italic> eggs</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hao</surname>
<given-names>Luyao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Fengmiao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Hongyou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Chengyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Jia</surname>
<given-names>Xiaoqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jiang</surname>
<given-names>Lili</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fan</surname>
<given-names>Zhaobin</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>College of Veterinary Medicine, Inner Mongolia Agricultural University</institution>, <addr-line>Hohhot</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Clinical Diagnosis and Treatment of Animal Diseases, Ministry of Agriculture, National Animal Medicine Experimental Teaching Center</institution>, <addr-line>Hohhot</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>College of Grassland Science, Inner Mongolia Agricultural University</institution>, <addr-line>Hohhot</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>College of Pharmacy, Heze University</institution>, <addr-line>Heze</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Robert Stryi&#x144;ski, University of Warmia and Mazury in Olsztyn, Poland</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Eustachio Tarasco, University of Bari Aldo Moro, Italy</p>
<p>Federico Lopez-Moya, University of Alicante, Spain</p>
<p>Adolfo Paz Silva, Universidade de Santiago de Compostela, Spain</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Rui Wang, <email xlink:href="mailto:wr2006@163.com">wr2006@163.com</email>; Lili Jiang, <email xlink:href="mailto:lyjllfxy1024@163.com">lyjllfxy1024@163.com</email>; Zhaobin Fan, <email xlink:href="mailto:438321212@qq.com">438321212@qq.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1600620</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Hao, Zhao, Liu, Ma, Jia, Jiang, Fan and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Hao, Zhao, Liu, Ma, Jia, Jiang, Fan and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<italic>Pochonia chlamydosporia</italic> (Goddard) Zare &amp; Gams (Ascomycota, Sordariomycetes, Hypocreales, Pochoniaceae, <italic>Pochonia</italic>) is a nematophagous fungus with significant potential as a biocontrol agent against animal-parasitic nematodes. However, the molecular and cellular mechanisms underlying its infection process remain poorly understood.This study comprehensively investigated <italic>P. chlamydosporia</italic> infection dynamics in <italic>Parascaris equorum</italic> eggs using both microscopic and proteomic approaches. Infection was monitored at three distinct stages (early, middle, and late). Microscopic analysis included scanning electron microscopy (SEM), transmission electron microscopy (TEM), and light microscopy (LM) to observe morphological changes. A 4D-DIA-based quantitative proteomics approach was employed to analyze exoproteomic changes, and quantitative PCR (qPCR) was used to validate key genes. Microscopic observations revealed progressive invasion of <italic>P. chlamydosporia</italic> into nematode eggs, with detailed morphological changes in both fungal structures and eggs, including key stages such as attachment, germination, and egg degradation. Proteomic analysis identified 410 differentially expressed proteins (DEPs) across the three stages, with 313 upregulated and 403 downregulated. Gene Ontology (GO) enrichment analysis showed DEPs involvement in cellular stress response, proteolysis, metabolic process, and hydrolase activity. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified key pathways including signal transduction, cell wall biosynthesis, energy metabolism, and host-pathogen interactions. qPCR validation further supported the molecular basis of parasitic behavior. These findings clarify that <italic>P. chlamydosporia</italic> employs a highly coordinated molecular strategy to adapt to and exploit its host, contributing to our understanding of fungal-nematode interactions and laying a solid foundation for developing <italic>P. chlamydosporia</italic> as a sustainable tool for integrated pest management.</p>
</abstract>
<kwd-group>
<kwd>helminth eggs-parasitic fungi</kwd>
<kwd>biological control</kwd>
<kwd>differential protein expression</kwd>
<kwd>proteomic analysis</kwd>
<kwd>host-pathogen interaction</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="14"/>
<word-count count="6841"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Parasite and Host</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>
<italic>Pochonia chlamydosporia</italic> is a well-recognized egg-parasitic fungus with significant potential as a biological control agent against animal-parasitic helminths, which are major pathogens causing substantial health and economic burdens worldwide (<xref ref-type="bibr" rid="B17">Fonseca et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B22">Hao et&#xa0;al., 2025</xref>). This fungus exhibits a dual lifestyle: saprophytic in the soil and parasitic on helminth eggs, making it an eco-friendly and sustainable tool for integrated parasitic control strategies (<xref ref-type="bibr" rid="B33">Manzanilla-L&#xf3;pez et&#xa0;al., 2013</xref>). Notably, <italic>P. chlamydosporia</italic> has demonstrated effectiveness in controlling parasitic nematodes such as <italic>Ascaris suum</italic>, <italic>Trichuris</italic> spp., and other economically significant helminth species (<xref ref-type="bibr" rid="B8">Braga et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B28">Lelis et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B16">Ferreira et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B42">Silva et&#xa0;al., 2010</xref>). In addition to its well-documented role in nematode control, <italic>P. chlamydosporia</italic> has also been investigated for its potential in controlling diseases transmitted by other vectors, such as snails and other mollusks (<xref ref-type="bibr" rid="B12">Castro et&#xa0;al., 2022</xref>, <xref ref-type="bibr" rid="B11">2019</xref>).</p>
<p>The molecular mechanisms underlying <italic>P. chlamydosporia</italic>&#x2019;s parasitism remain poorly understood despite its potential applications. While previous studies have explored its biological traits (<xref ref-type="bibr" rid="B26">Larriba et&#xa0;al., 2014</xref>), interactions with animal hosts (<xref ref-type="bibr" rid="B2">Avelar Monteiro et&#xa0;al., 2017</xref>), and production of extracellular hydrolytic enzymes that penetrate helminth eggs (<xref ref-type="bibr" rid="B36">Morton et&#xa0;al., 2003</xref>), the roles of extracellular proteins secreted during different infection stages remain largely unexplored. A comprehensive proteomic analysis of these proteins is critical, as they play essential roles in pathogen-host interactions, including host invasion, immune suppression, and environmental modification to facilitate infection. For nematophagous fungi like <italic>P. chlamydosporia</italic>, extracellular proteins are central to pathogenicity. Nematode eggshells, primarily composed of proteins, chitin, and lipids, depend on chitin for structural integrity (<xref ref-type="bibr" rid="B34">Monteiro et&#xa0;al., 2017</xref>). Research indicates that <italic>P. chlamydosporia</italic> secretes hydrolytic enzymes capable of degrading the protein and chitin layers of nematode eggs (<xref ref-type="bibr" rid="B1">Aranda-Martinez et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B4">Bezerra et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B47">Yang et&#xa0;al., 2013</xref>), increasing permeability, inflicting morphological damage on eggshells and embryos, and ultimately rendering the eggs nonviable, effectively suppressing nematode reproduction (<xref ref-type="bibr" rid="B6">Braga et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B7">Braga and de Ara&#xfa;jo, 2014</xref>).</p>
<p>To build on this understanding, advances in proteomic technologies, particularly mass spectrometry-based approaches such as data-independent acquisition (DIA), provide powerful tools to comprehensively profile the extracellular proteins secreted by <italic>P. chlamydosporia</italic> during different stages of infection. DIA methods, especially four-dimensional DIA (4D-DIA), offer superior sensitivity, reproducibility, and proteome coverage compared to traditional proteomic techniques such as isobaric tags for relative and absolute quantitation (iTRAQ) or gel-based methods (<xref ref-type="bibr" rid="B9">Bruderer et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B18">Gillet et&#xa0;al., 2012</xref>). These advanced techniques have already been successfully applied in studying fungal pathogenicity and host-pathogen interactions, revealing key proteins and pathways involved in infection processes (<xref ref-type="bibr" rid="B19">Girard et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B48">Yang et&#xa0;al., 2010</xref>), making them well suited for investigating the molecular mechanisms underlying <italic>P. chlamydosporia</italic>&#x2019;s parasitism.</p>
<p>Here, we applied a 4D-DIA-based approach to analyze extracellular proteomic changes in <italic>P. chlamydosporia</italic> during three infection stages (3, 5, and 7 days) of nematode eggs to identify key pathways and proteins involved in antagonism and to explore its molecular mechanisms and potential as a biocontrol agent.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Fungal strain</title>
<p>The <italic>Pochonia chlamydosporia</italic> strain used in this study, originally isolated from Yunnan Province, China, is deposited under the accession number ACCC 30601 at the Agricultural Culture Collection of China (ACCC) and preserved at &#x2212;80&#xb0;C in the Parasitology Laboratory of Inner Mongolia Agricultural University, Hohhot, China.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Obtaining <italic>Parascaris equorum</italic> eggs</title>
<p>Collect fresh adult female <italic>P. equorum</italic> worms from mare feces. Wash the worms three times with warm water and temporarily store them in sterile physiological saline. Secure the worms on a wax tray, and excise and dissect the terminal portion of the uterus. Gently squeeze the uterus and flush the interior walls repeatedly with physiological saline using a syringe to collect the eggs. The final collected egg suspension was resuspended in sterile water for future use.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Induced mycelial culture</title>
<p>Three portions of LMZ liquid medium (containing 2 g&#xb7;L<sup>-1</sup> gelatin, 8 g&#xb7;L<sup>-1</sup> peptone, 1 g&#xb7;L<sup>-1</sup> yeast extract, 0.01 g&#xb7;L<sup>-1</sup> FeSO<sub>4</sub>&#xb7;7H<sub>2</sub>O, and 0.5 g&#xb7;L<sup>-1</sup> MgSO<sub>4</sub>&#xb7;7H<sub>2</sub>O) were prepared. Then, 1 ml of a pre-prepared spore suspension (1 &#xd7; 10<sup>6</sup> spores/ml) was added to each portion of the liquid medium. The volume of each portion was adjusted to 150 ml with LMZ liquid medium. The cultures were incubated at 26&#xb0;C with shaking at 150 r/min for 3 days. After 3 days, three of the portions were each supplemented with 1 ml of <italic>P. equorum</italic> eggs at a final concentration of 10,000 eggs/150 ml. The fermentation filtrates were obtained by filtering the culture through sterile Whatman No. 1 filter paper to remove mycelia, followed by centrifugation at 10,000 &#xd7; g for 15 min at 4&#xb0;C. The supernatant was then sterile-filtered through a 0.22 &#x3bc;m membrane, collected at 3 (A1), 5 (B1), and 7 (C1) days, aliquoted, and stored at &#x2212;80&#xb0;C until use. All treatments were set with three biological replicates to ensure the reliability and reproducibility of the results. These samples were specifically reserved for subsequent proteomic sequencing analysis to investigate the dynamic changes in the proteome during the different time points of the fermentation process, which is crucial for understanding the underlying biological mechanisms and potential applications related to the fermentation system.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Infection process observed by microscopy</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Observation with light microscope</title>
<p>Mycelial plugs of <italic>P. chlamydosporia</italic> were transferred onto 9-cm disposable petri dishes containing 2% water agar (WA) solid medium. Cellulose dialysis membrane disks (9 cm diameter) were autoclaved at 120&#xb0;C for 15 min in distilled water, then clamped onto the agar surface to cover it completely, ensuring the membrane edges adhered to the plate rim. This setup facilitated nutrient diffusion while physically separating the fungus from nematode eggs. Next, plates were incubated in the dark, at a temperature of 26&#xb0;C. Five hundred eggs were evenly distributed at five distinct positions on each petri dish containing 2% water agar (WA) solid medium, with approximately 100 eggs placed at each designated spot to ensure uniform coverage. The treated group was established by co-culturing these eggs with <italic>P. chlamydosporia</italic> (pre-cultured for 3 days), while the control group omitted fungal inoculation.</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Observation with scanning electron microscope</title>
<p>After the observation of the interaction with <italic>P. equorum</italic> eggs, pieces of the dialysis membrane with eggs parasitized by fungi exposed to capture were cut with the aid of a blade, collected with a fine-tipped clamp, and fixed in glutaraldehyde at 2.5% in 0.05 M of phosphate buffer for 24h. Next, they were washed five times in the same buffer and dehydrated by passing the material in a series of ethyl alcohol (30%, 50%, 70%, 90%, and 100%). The material was dried in a critical point dryer BALZERS1 using carbon dioxide and recovered with gold plating. The procedure of sample treatment was performed as previously published (<xref ref-type="bibr" rid="B22">Hao et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B50">Zhang et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s2_4_3">
<label>2.4.3</label>
<title>Observation with transmission electron microscope</title>
<p>In this experiment, the stages of the infection process were observed by transmission electron microscope (TEM). Fresh tissue samples were quickly fixed in a cold fixative solution for 2&#x2013;4 h, followed by washing with 0.1M phosphate buffer (pH 7.4). The samples were then fixed in a mixture of 1% osmium acid and 0.1M phosphate buffer (pH 7.4) for 2h at room temperature. After fixation, the samples underwent dehydration using graded ethanol and acetone series. Infiltration and embedding steps were performed to prepare the samples for observation. Ultra-thin sections were cut from the embedded samples using a diamond knife. Staining with uranium lead double staining was done to improve visibility. The sections were then observed using a transmission electron microscope to visualize the various stages of the infection process. Images were captured and analyzed for detailed study of the samples.</p>
</sec>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Protein preparation</title>
<sec id="s2_5_1">
<label>2.5.1</label>
<title>Protein extraction</title>
<p>Take an appropriate volume of each sample, freeze-dry it, and add a suitable amount of SDT lysis buffer (4% SDS, 100 mM Tris-HCl pH 7.6, 1 mM DTT, 1&#xd7; protease inhibitor cocktail). Transfer the solution to an EP tube, perform a boiling water bath for 3 min, then ultrasonic disruption (600 W, 30% duty cycle, 10 cycles) for 2 min. Centrifuge at 16,000<italic>g</italic> for 20 min at 4&#xb0;C, and collect the supernatant.</p>
</sec>
<sec id="s2_5_2">
<label>2.5.2</label>
<title>Protein digestion</title>
<p>Each sample was treated with an appropriate amount of protein for FASP enzymatic digestion. DTT was added to a final concentration of 100 mM, followed by a boiling water bath for 5 min, then cooled to room temperature. Subsequently, 200 &#x3bc;l of UA buffer (8 M Urea, 150 mM Tris-HCl, pH 8.0) was added, mixed thoroughly, and transferred to a 10 kDa ultrafiltration centrifuge tube, then centrifuged at 12,000<italic>g</italic> for 15 min. Another 200 &#x3bc;l of UA buffer was added, centrifuged at 12,000<italic>g</italic> for 15 min, and the filtrate was discarded. Next, 100 &#x3bc;l of IAA solution (50 mM IAA in UA buffer) was added, shaken at 600 rpm for 1 min, incubated at room temperature in the dark for 30 min, and centrifuged at 12,000<italic>g</italic> for 10 min. After this, 100 &#x3bc;l of UA buffer was added and centrifuged at 12,000<italic>g</italic> for 10 min, a process repeated twice. Then, 100 &#x3bc;l of NH<sub>4</sub>HCO<sub>3</sub> buffer was added and centrifuged at 14,000<italic>g</italic> for 10 min, also repeated twice. Following this, 40 &#x3bc;l of Trypsin buffer (6 &#x3bc;g Trypsin in 40 &#x3bc;l NH<sub>4</sub>HCO<sub>3</sub> buffer) was added, shaken at 600 rpm for 1 min, and incubated at 37&#xb0;C for 16&#x2013;18 h. After digestion, the collection tube was replaced, and the sample was centrifuged at 12,000<italic>g</italic> for 10 min to collect the filtrate, which was then mixed with an appropriate amount of 0.1% TFA solution. The digested peptides were desalted using a C18 cartridge and vacuum freeze-dried. Finally, the dried peptides were redissolved in 0.1% FA, and the peptide concentration was measured in preparation for LC-MS analysis.</p>
</sec>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>DIA mass spectrometry data acquisition</title>
<p>For each sample, an appropriate amount of peptides was used for chromatographic separation on the Vanquish Neo UHPLC system (Thermo Fisher Scientific, Waltham, Massachusetts, USA). The mobile phase consisted of buffer A (0.1% formic acid in water) and buffer B (0.1% formic acid in acetonitrile, 80% acetonitrile). The column was equilibrated with 96% buffer A prior to sample injection. The sample was first injected into the Trap Column (PepMap Neo 5 &#x3bc;m C18, 300 &#x3bc;m &#xd7; 5 mm, Thermo Scientific) and subsequently separated using the analytical column (&#x3bc;PAC Neo High Throughput column, Thermo Scientific) under the following gradient conditions: 0 min&#x2013;0.1 min, linear gradient of buffer B from 4% to 6%; 0.1 min&#x2013;1.1 min, linear gradient of buffer B from 6% to 12%; 1.1 min&#x2013;4.3 min, linear gradient of buffer B from 12% to 22.5%; 4.3 min&#x2013;6.1 min, linear gradient of buffer B from 22.5% to 45%; 6.1 min&#x2013;8 min, buffer B maintained at 99%. After separation, the peptides were analyzed using an Orbitrap Astral mass spectrometer (Thermo Scientific) with DIA mode. The analysis duration was 8 min with the following parameters: electrospray voltage of 2.2 kV, positive ion detection mode, precursor ion scan range of 380&#x2013;980 m/z, MS1 resolution of 240,000 at m/z 200, AGC target of 5e5 ions, and MS1 maximum injection time (Maximum IT) of 3 ms. MS2 resolution was set to 80,000, AGC target to 500%, and MS2 Maximum IT to 3 ms, with an RF-lens setting of 40%. MS2 activation was performed using HCD with a normalized collision energy of 25%, an isolation window of 2 Th, and a cycle time of 0.6 s.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>DIA mass spectrometry data search</title>
<p>All mass spectrometry data were processed and searched using the DIA-NN software, which performed database searching and DIA-based protein quantification. The database used was uniprotkb-Metacordyceps chlamydosporia (Nematophagous fungus) (<italic>Pochonia chlamydosporia</italic>) [280754]-14275-20241104.fasta, obtained from (<ext-link ext-link-type="uri" xlink:href="https://www.uniprot.org/taxonomy/280754">https://www.uniprot.org/taxonomy/280754</ext-link>).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Data analysis</title>
<p>The analysis parameters for the DIA-NN software are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Data-independent acquisition neural network (DIA-NN) software analysis parameters.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Item</th>
<th valign="middle" align="center">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Enzyme</td>
<td valign="middle" align="center">Trypsin</td>
</tr>
<tr>
<td valign="middle" align="center">Enzyme trypsin</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" align="center">Fixed modifications</td>
<td valign="middle" align="center">Carbamidomethyl (C)</td>
</tr>
<tr>
<td valign="middle" align="center">Variable modifications database</td>
<td valign="middle" align="center">Oxidation (M), Acetyl (Protein N-term)<break/>uniprotkb-Metacordyceps chlamydosporia (Nematophagous fungus) (<italic>Pochonia chlamydosporia</italic>) [280754]-14275- 20241104.fasta</td>
</tr>
<tr>
<td valign="middle" align="center">Database pattern</td>
<td valign="middle" align="center">Target-Reverse</td>
</tr>
<tr>
<td valign="middle" align="center">PSM (Peptide-Spectral Matching) FDR</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="center">Protein FDR</td>
<td valign="middle" align="center">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Proteins meeting the rigorous criteria of a fold change greater than 1.5 (either upregulated or downregulated) and exhibiting a <italic>P</italic>-value below 0.05 were designated as significantly DEPs. The method used for comparing two groups was the unpaired Student&#x2019;s t-test. Multiple group comparative analysis defaulting to one-way analysis of variance (ANOVA) testing method was employed, with proteins exhibiting <italic>P</italic> &lt; 0.05 selected as proteins with differential expression.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The data were analyzed and visualized using GraphPad Prism 8.0 software, and the results are presented as the means &#xb1; standard errors of the means (SEMs). The significance level was set at <italic>p</italic> &lt; 0.05, and the outcomes are reported as the means &#xb1; SEMs. Three biological replicates were utilized for all experiments.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Bioinformatic analysis</title>
<p>The FASTA protein sequences of differentially changed proteins were blasted against the online Kyoto Encyclopedia of Genes and Genomes (KEGG) database (<ext-link ext-link-type="uri" xlink:href="http://geneontology.org/">http://geneontology.org/</ext-link>) to retrieve their KOs and were subsequently mapped to pathways in KEGG. The corresponding KEGG pathways were extracted.</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Real-time quantitative reverse transcription PCR</title>
<p>Total RNA was extracted from samples using a standard RNA extraction kit (Omega, USA), and its quality was confirmed by measuring the OD260/280 ratio (1.8&#x2013;2.0). Reverse transcription was performed to synthesize cDNA from the extracted RNA following the manufacturer&#x2019;s protocol (TaKaRa, Dalian, China). qRT-PCR reactions were prepared in 20 &#x3bc;l volumes containing 10 &#x3bc;l of TB Green<sup>&#xae;</sup> Premix Ex Taq&#x2122; II (TaKaRa, Dalian, China), 0.4 &#x3bc;M of each primer, 2 &#x3bc;l of diluted cDNA template, and nuclease-free water, under the following conditions: 95&#xb0;C for 30 s (initial denaturation), followed by 40 cycles of 95&#xb0;C for 5 s (denaturation) and 60&#xb0;C for 30 s (annealing/extension).</p>
<p>The relative expression levels of target genes were calculated using the 2<sup>-&#x25b3;&#x25b3;CT</sup> method, with &#x3b2;-actin as internal reference genes, where &#x394;CT represents the difference in CT values between the target and reference genes, and &#x25b3;&#x25b3;CT represents the difference between the experimental and control groups. The data are shown as the means &#xb1; SEMs of three independent experiments.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Infection process observed by microscopy</title>
<p>The infection process of <italic>P. chlamydosporia</italic> mycelium on egg was observed in three stages: early, middle, and late.</p>
<p>Mycelial growth intensified within 12h, forming dense hyphal masses around the eggshell and producing conidia. By 24h, the mycelium completely covered the egg surface. SEM revealed attachment structures at hyphal tips penetrating the eggshell, while TEM showed initial hyphal penetration signs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, Type 1).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Microscopy of development and morphological structure of <italic>Parascaris equorum</italic> eggs. (<italic>Pochonia chlamydosporia</italic>: red arrow, <italic>Parascaris equorum</italic> Eggs: yellow arrow). Type 1 effect: physiological and biochemical impact without morphological damage to the eggshell, with visible hyphae adhering to the eggshell; Type 2 effect: lytic effect causing morphological changes in both the embryo and eggshell, without hyphal penetration; Type 3 effect: lytic effect with morphological changes in the embryo and eggshell, along with hyphal penetration and internal egg colonization.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g001.tif">
<alt-text content-type="machine-generated">Three rows of microscopic images labeled LM, TEM, and SEM across columns Type 1, Type 2, and Type 3. LM shows general structures; TEM highlights specific details with red arrows (indicating Pochonia chlamydosporia) and yellow arrows (indicating Parascaris equorum Eggs); SEM reveals surface textures. Each type displays distinct morphological characteristics under different microscopy techniques.</alt-text>
</graphic>
</fig>
<p>During the middle stage (24&#x2013;72h), the mycelium enveloped the eggshell, with TEM showing degradation of internal architecture (membrane rupture and cellular disintegration; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, Type 2).</p>
<p>In the late stage (72&#x2013;120h), mycelial invasion led to near-total dissolution of the eggshell. TEM images showed complete mycelial penetration, causing severe internal damage and cellular collapse, with nearly all internal contents consumed (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, Type 3).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Overview of 4D-DIA data analysis</title>
<p>We conducted a rigorous screening of the experimental data samples to ensure the association of identified proteins with sample groups containing a minimum of 50% non-missing values. Subsequently, any remaining missing values were meticulously imputed prior to the statistical analysis. Our proteomic analysis generated a substantial 21,220 mass spectra. Following meticulous data filtration to exclude low-scoring spectra, we successfully matched 17,859 unique spectra to 1,859 unique peptides, resulting in the identification of a final set of 2,340 proteins. Subsequently, any remaining missing values were meticulously filled in before conducting the statistical analysis.</p>
<p>Differential protein expression was assessed across three pairwise comparisons: A1 versus B1, A1 versus C1, and B1 versus C1, as detailed in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Volcano plots (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) were employed to visualize the distribution of DEPs. Each plot illustrates the relationship in fold change. Proteins that are significantly upregulated or downregulated are distinctly clustered, with those exhibiting large fold changes and high statistical significance positioned at the extremes of the axes. These visualizations provide a clear method for identifying proteins with the most pronounced expression differences at the three stages (A1, B1, and C1) of <italic>Pochonia chlamydosporia</italic> egg parasitism.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of differential protein analysis results for A1 versus B1, A1 versus C1, and B1 versus C1.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Comparison group</th>
<th valign="middle" align="left">Total differential proteins</th>
<th valign="middle" align="left">Upregulated proteins</th>
<th valign="middle" align="left">Downregulated proteins</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">A1 vs. B1</td>
<td valign="middle" align="left">106</td>
<td valign="middle" align="left">51</td>
<td valign="middle" align="left">55</td>
</tr>
<tr>
<td valign="middle" align="left">A1 vs. C1</td>
<td valign="middle" align="left">251</td>
<td valign="middle" align="left">123</td>
<td valign="middle" align="left">128</td>
</tr>
<tr>
<td valign="middle" align="left">B1 vs. C1</td>
<td valign="middle" align="left">230</td>
<td valign="middle" align="left">136</td>
<td valign="middle" align="left">94</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Proteins meeting the rigorous criteria of a fold change greater than 1.5 (either upregulated or downregulated) and exhibiting a <italic>P</italic>-value below 0.05 were designated as significantly DEPs.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Comparison of volcano plots for differential protein expression between A1 versus B1, A1 versus C1, and B1 versus C1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g002.tif">
<alt-text content-type="machine-generated">Scatter plot showing log2 fold change for different comparisons: A1 vs. B1, A1 vs. C1, and B1 vs. C1. Red dots indicate upregulated elements, while blue dots represent downregulated elements. Each section is labeled with protein identifiers like A0A179G8K0 and A0A179F1W6.</alt-text>
</graphic>
</fig>
<p>In this study, we used a Venn diagram (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) to analyze the extracellular proteins involved in the fungal hyphal infection of nematode eggs, comparing the DEPs at three stages: early (A1), middle (B1), and late (C1) (Appendix <bold>1</bold>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Venn diagram of expressed extracellular proteins at A1/B1/C1 and differential proteins comparisons between A1versus B1, A1 versus C1, and B1 versus C1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g003.tif">
<alt-text content-type="machine-generated">Two Venn diagrams display overlapping and distinct areas for datasets A1, B1, and C1. Left diagram: A1 has 950, B1 has 4, C1 has 7, with overlaps of 141, 523, 13, and a central intersection of 1,956. Right diagram: B1.vs.A1 has 21, C1.vs.A1 has 77, C1.vs.B1 has 97, with overlaps of 47, 13, 81, and a central intersection of 15.</alt-text>
</graphic>
</fig>
<p>The differential protein Venn diagram was generated by comparing the two sets of groups, A1 versus B1, A1 versus C1, and B1 versus C1, to illustrate the shared and unique differential proteins between the groups.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>GO functional annotation of differential proteins</title>
<p>The DEPs are significantly involved in several critical biological functions and processes, as indicated by the GO categories (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Distribution of differentially abundant proteins according to biological processes (BP), molecular functions (MF), and cellular compartments (CC) in A1 versus B1, A1 versus C1, and B1 versus C1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g004.tif">
<alt-text content-type="machine-generated">Three bar charts compare gene ontology categories across different experimental conditions labeled A1 vs. B1, A1 vs. C1, and B1 vs. C1. Each chart includes three sections: Biological Process (BP), Cellular Component (CC), and Molecular Function (MF). The blue bars represent BP, red bars represent CC, and green bars represent MF. Counts and percentages are displayed on the Y-axes. Each section's bars vary in height, indicating differing counts and percentages for each gene ontology category.</alt-text>
</graphic>
</fig>
<p>In the GO enrichment analysis of the exoproteins from the A1/B1 group, key enriched GO terms included proteolysis (GO:0006508), hydrolase activity (GO:0016787), and extracellular space (GO:0005615) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, A1 vs. B1).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Gene ontology (GO) bubble plot in A1 versus B1, A1 versus C1, and B1 versus C1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g005.tif">
<alt-text content-type="machine-generated">Three bubble plots compare gene ontology categories between A1 vs. B1, A1 vs. C1, and B1 vs. C1. Each plot displays z-scores on the x-axis and negative logarithm of p-values on the y-axis. Bubbles, color-coded for biological process (BP), cellular component (CC), and molecular function (MF), vary in size indicating significance. Accompanying tables list GO IDs and descriptions for highlighted terms in each comparison.</alt-text>
</graphic>
</fig>
<p>The GO enrichment analysis of early- and late-stage exoproteins from the A1/C1 group revealed that enriched terms comprised carbohydrate metabolic process (GO:0005975), proteolysis (GO:0006500), hydrolase activity (GO:0016787), and extracellular space (GO:0005615) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, A1 vs. C1).</p>
<p>For the B1/C1 group (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, B1 vs. C1), major enrichments included organic substance metabolic process (GO:0071704), carbohydrate metabolic process (GO:0005975), amino acid biosynthetic process (GO:0009308), and biosynthetic process (GO:0008152). Enzyme-related terms focused on peptidase activity (GO:0008233), serine-type peptidase activity (GO:0008237), hydrolase activity (GO:0016787), and enzyme activity (GO:0003824) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, B1 vs. C1).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>KEGG pathway enrichment analysis of the proteins with different abundances</title>
<p>To identify the biological pathway information of the three developmental stages in <italic>Pochonia chlamydosporia</italic>, these proteins were further mapped to the corresponding pathways included in the KEGG database (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>KEGG pathway analysis of proteins with different abundances in A1, B1, and C1.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">KEGG pathway</th>
<th valign="top" align="center">Pathway ID</th>
<th valign="top" align="center">Number of proteins</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="center">Other glycan degradation</td>
<td valign="bottom" align="center">map00511</td>
<td valign="bottom" align="center">1</td>
</tr>
<tr>
<td valign="bottom" align="center">beta-Alanine metabolism</td>
<td valign="bottom" align="center">map00410</td>
<td valign="bottom" align="center">2</td>
</tr>
<tr>
<td valign="bottom" align="center">Arginine and proline metabolism</td>
<td valign="bottom" align="center">map00330</td>
<td valign="bottom" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="center">Fatty acid degradation</td>
<td valign="middle" align="center">map00071</td>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="center">PPAR signaling pathway</td>
<td valign="middle" align="center">map03320</td>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="center">Sphingolipid metabolism</td>
<td valign="middle" align="center">map00600</td>
<td valign="middle" align="center">2</td>
</tr>
<tr>
<td valign="middle" align="center">Protein processing in endoplasmic reticulum</td>
<td valign="middle" align="center">map04141</td>
<td valign="middle" align="center">5</td>
</tr>
<tr>
<td valign="middle" align="center">Cyanoamino acid metabolism</td>
<td valign="middle" align="center">map00460</td>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="center">Valine, leucine, and isoleucine degradation</td>
<td valign="middle" align="center">map00280</td>
<td valign="middle" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">Tryptophan metabolism</td>
<td valign="middle" align="center">map00380</td>
<td valign="middle" align="center">6</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The bubble plot shown in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref> displays the top 10 enriched KEGG pathways for the pairwise comparisons: A1 versus B1, A1 versus C1, and B1 versus C1. The size of each bubble corresponds to the number of differentially expressed genes (DEGs) associated with the pathway, while the color of the bubbles reflects the statistical significance of each pathway. Among these metabolic pathways, a total of nine significantly enriched KEGG pathways were identified, namely, other glycan degradation, beta-alanine metabolism, arginine and proline metabolism, fatty acid degradation, the PPAR signaling pathway, sphingolipid metabolism, cyanoamino acid metabolism, valine, leucine, and isoleucine degradation, and tryptophan metabolism (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Top 10 enriched KEGG pathways for the comparisons A1 versus B1, A1 versus C1, and B1 versus C1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g006.tif">
<alt-text content-type="machine-generated">Three scatter plots compare pathways based on z-scores and negative log p-values. Each plot has labeled points with identifiers like &#x201c;map00410&#x201d; and a legend categorizing data. Adjacent to each graph are tables listing pathway IDs and descriptions, such as nucleotide excision repair and glycolysis. The plots are labeled A1 vs. B1, A1 vs. C1, and B1 vs. C1, indicating different conditions compared.</alt-text>
</graphic>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>KEGG signaling pathway of arginine and proline metabolism. Proteins labeled in red are significantly upregulated.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g007.tif">
<alt-text content-type="machine-generated">Flowchart of arginine and proline metabolism pathways detailing the conversion of molecules like arginine, ornithine, and proline. It includes enzymes, metabolites, and connections to other metabolic pathways such as lysine degradation and alanine metabolism. Specific pathways are highlighted in red and yellow, indicating key reactions or regulatory points, with several enzymes labeled by numbers.</alt-text>
</graphic>
</fig>
<p>In the comparison between A1 versus B1 (early vs. mid-stage), the most enriched pathways include map04141: Protein processing in endoplasmic reticulum, map00280: Valine, leucine, and isoleucine degradation, map00410: Beta-alanine metabolism, and map00460: Cyanoamino acid metabolism. These pathways are associated with early cellular stress responses, metabolic shifts, energy metabolism, and metabolic adaptation during infection.</p>
<p>In the A1 versus C1 comparison (early vs. late stage), the most enriched pathways include map03420: Nucleotide excision repair, map03040: Spliceosome, map00903: Glycolysis/Gluconeogenesis, and map00620: Limonene degradation. These pathways are linked to DNA damage repair, RNA processing, energy metabolism, and adaptation to host-specific compounds.</p>
<p>In the B1 versus C1 comparison (mid- vs. late-stage), the most enriched pathways include map00230: Purine metabolism, map00511: Other glycan degradation, map00520: Amino sugar and nucleotide sugar metabolism, and map00521: Streptomycin biosynthesis. These pathways are involved in nucleotide biosynthesis, degradation of host cell wall components, fungal cell wall biosynthesis, and potential antibiotic production.</p>
<p>The Sankey plot (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>) illustrates the relationship between genes and enriched pathways across different experimental groups (A1 vs. B1, A1 vs. C1, and B1 vs. C1). The directional arrows in the plot represent the association between genes and specific pathways, with the width of the arrows indicating the degree of gene enrichment within these.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Top 10 gene-to-pathway associations for A1 versus B1, A1 versus C1, B1 versus C1 displayed in a Sankey diagram.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1600620-g008.tif">
<alt-text content-type="machine-generated">Three distinct Sankey diagrams labeled A1.vs.B1, A1.vs.C1, and B1.vs.C1 show various pathways. Each diagram links specific codes to different metabolic processes, genetic information processing, and human diseases, highlighting variations in data flows and connections across the charts.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Analysis of differential protein abundance at the transcriptional level using qRT-PCR</title>
<p>To compare the changes in protein abundance identified by 4D-DIA related to changes at the gene transcription level, quantitative real-time polymerase chain reaction (qRT-PCR) analysis was performed. Ten proteins were selected for analysis, based on their expression levels identified from the 4D-DIA proteomic data. Among these proteins, three were found to be significantly upregulated, including SNF2 family helicase/ATPase, Histidine phosphotransferase HPT1p, and gamma interferon inducible lysosomal thiol reductase. Conversely, three proteins were identified with lower abundance: metalloprotease, proteinase, alkaline serine protease.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study conducts a proteomic analysis of <italic>P. chlamydosporia</italic> exoproteins during three stages (A1, B1, C1) of nematode egg infection. Mass spectrometry and bioinformatics reveal stage-specific exoproteomic shifts, uncovering molecular infection mechanisms and identifying key biocontrol-related proteins and pathways.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Microscopic insights into infection morphogenesis</title>
<p>Microscopy observations confirmed that the infection process of <italic>P. chlamydosporia</italic> on <italic>P. equorum</italic> eggs occurs in three distinct phases. These morphological stages are key to understanding the molecular events that drive fungal parasitism and infection progression (<xref ref-type="bibr" rid="B14">Dai et&#xa0;al., 2017</xref>).</p>
<p>In comparison to previous studies on <italic>P. chlamydosporia</italic> or other fungal nematode biocontrol agents like <italic>Duddingtonia flagrans</italic> (Dudd.) R.C. Cooke (Ascomycota, Orbiliomycetes, Orbiliales, Orbiliaceae, <italic>Arthrobotrys</italic>) and <italic>Monacrosporium thaumasium</italic> (Drechsler) Subram (Ascomycota, Sordariomycetes, Pezizomycotina, Orbiliaceae, <italic>Arthrobotrys</italic>), which also undergo similar infection stages, our observations of hyphal penetration and egg breakdown align with the findings of <xref ref-type="bibr" rid="B43">Silva et&#xa0;al. (2011)</xref> (<xref ref-type="bibr" rid="B43">Silva et&#xa0;al., 2011</xref>), who noted that Pochonia species exhibit similar morphological patterns during early and mid-stages of nematode egg infection. However, the resolution of our TEM data provides a finer level of detail, revealing subcellular dynamics during fungal invasion, which was less emphasized in earlier studies. Specifically, we observed that the initial hyphal growth forms specialized attachment cells, which anchor the fungus to the egg surface. Following this, the fungus produces infection structures resembling &#x201c;infection peg-like&#x201d; structures, which have a pointed tip that pierces the eggshell. This penetration process, while mechanically facilitated, also involves enzymatic degradation and possible chemical digestion of the egg&#x2019;s outer layers. Notably, TEM observations revealed that the eggshell undergoes significant deformation, with visible wrinkling and shrinking, likely due to both the mechanical action of the infection peg and enzymatic or chemical digestion. This detailed observation of eggshell breakdown offers a unique contribution to the understanding of the fungal parasitism process and extends the findings of previous studies, such as those by <xref ref-type="bibr" rid="B2">Avelar Monteiro et&#xa0;al. (2017)</xref> (<xref ref-type="bibr" rid="B2">Avelar Monteiro et&#xa0;al., 2017</xref>), by highlighting the dual role of mechanical and biochemical mechanisms during hyphal penetration.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Temporal dynamics of exoproteomic responses during infection stages</title>
<p>In the early stage, proteins related to adhesion, immune evasion, and genome stability play a crucial role in facilitating fungal establishment. The upregulation of fungal-specific transcription factors, such as VFPPC_15959, highlights the fungus&#x2019;s ability to finely tune its transcriptional responses to the host&#x2019;s immune environment, thus activating genes associated with pathogenicity and immune evasion. Similarly, previous studies have shown that during the pathogenesis of nematode eggs, <italic>P. chlamydosporia</italic> expresses transcription factors belonging to the Zn2Cys6 fungal-type, bZIP, and bromodomain-containing TF families, which are abundantly represented in the <italic>P. chlamydosporia</italic> genome (<xref ref-type="bibr" rid="B39">Rosso et&#xa0;al., 2011</xref>). VFPPC_13466 (histidine phosphotransferase HPT1p), a protein kinase, plays a crucial role in signal transduction. This class of proteins has been implicated in regulating virulence genes in the entomopathogenic fungus <italic>Metarhizium. anisopliae</italic> (Metschn.) Sorokin (Ascomycota; Pezizomycotina; Sordariomycetes; Hypocreales; Clavicipitaceae; <italic>Metarhizium</italic>) (<xref ref-type="bibr" rid="B15">Fang et&#xa0;al., 2009</xref>), allowing the fungus to manage its growth and effectively adapt to immune challenges. These proteomic changes highlight the fungus&#x2019;s multi-layered strategies&#x2014;transcriptional regulation, immune evasion, and signal transduction&#x2014;which collectively facilitate its successful establishment and survival in the host during the early stages of infection. During early infection, <italic>P. chlamydosporia</italic> secretes a variety of hydrolases and proteases into the extracellular space. These enzymes are pivotal for breaking down the host&#x2019;s physical barriers, including the eggshell and surrounding cellular matrix. The term proteolysis (GO:0006508) points directly to the fungal ability to degrade host proteins, a fundamental mechanism in fungal pathogenesis. As discussed by <xref ref-type="bibr" rid="B30">Lin et&#xa0;al. (2018)</xref>, secreted proteins involved in responses to nutrient stress are mainly comprised of proteases and glycoside hydrolases (<xref ref-type="bibr" rid="B30">Lin et&#xa0;al., 2018</xref>). Additionally, hydrolase activity (GO:0016787) suggests that the fungal enzymes are versatile, degrading a broad range of substrates, including proteins and polysaccharides. This broad spectrum of enzymatic activity facilitates both host invasion and immunity.</p>
<p>In the middle stage, enzymes involved in tissue degradation and immune suppression enable the fungus to invade deeper tissues and overcome host defenses. The exoproteome exhibits a significant increase in proteins associated with the degradation of host tissues and immune defenses. The tough outer shell of nematode eggs constitutes a physical barrier to fungal hyphal invasion, and its main components include proteins, chitin, and various polysaccharides (<xref ref-type="bibr" rid="B5">Bird and Mcclure, 1976</xref>; <xref ref-type="bibr" rid="B32">Luyao et&#xa0;al., 2023</xref>). The upregulation of endo-&#x3b2;-1,6-galactanase enables the enzyme to specifically target the galactan-mannan structures in the eggshell. By catalyzing hydrolysis, it disrupts the eggshell&#x2019;s structural integrity, creating a pathway for hyphal penetration. Similar mechanisms have been reported in <italic>Arthrobotrys oligospora</italic> (Fresen.) (Ascomycota; Pezizomycotina; Orbiliomycetes; Orbiliales; Orbiliaceae; <italic>Orbilia</italic>) and <italic>D. flagrans</italic> (<xref ref-type="bibr" rid="B29">Liang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B49">Yang et&#xa0;al., 2011</xref>), is likely to have the same mechanism of action, so these changes may be related to the early identification and adhesion of nematodes to predatory fungi. Proteinase secretion aids in immune evasion by degrading host immune proteins and extracellular matrix components, facilitating deeper tissue invasion, as described by <xref ref-type="bibr" rid="B1">Aranda-Martinez et&#xa0;al. (2016)</xref> and <xref ref-type="bibr" rid="B24">Huang et&#xa0;al. (2004)</xref> (<xref ref-type="bibr" rid="B1">Aranda-Martinez et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B24">Huang et&#xa0;al., 2004</xref>). Furthermore, the secretion of chitinase supports the breakdown of host structures, aligning with findings by <xref ref-type="bibr" rid="B36">Morton et&#xa0;al. (2003)</xref> and <xref ref-type="bibr" rid="B44">Tikhonov et&#xa0;al. (2002)</xref>, who demonstrated the critical role of proteases and chitinases in enhancing fungal invasion (<xref ref-type="bibr" rid="B36">Morton et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B44">Tikhonov et&#xa0;al., 2002</xref>). These observations collectively suggest a shift towards active tissue degradation and immune suppression, key strategies that foster fungal growth and parasitism during this stage. As fungal infection progresses from the mid (B1) to the late (C1) stages, the fungus undergoes significant metabolic shifts in response to changing host conditions. However, as the infection advances and host nutrients deplete, the fungus reduces these metabolic processes, shifting towards a more energy-conserving state focused on survival and reproduction. This transition is marked by decreased carbohydrate and amino acid metabolism, protein degradation, and enzyme activity in the late infection stage. Similarly, <xref ref-type="bibr" rid="B29">Liang et&#xa0;al. (2019)</xref> indicated that as most of the nematodes were captured and digested, external stimuli were reduced, leading to a gradual attenuation of the signaling pathways in the nematode-trapping fungus <italic>D. flagrans</italic> (<xref ref-type="bibr" rid="B29">Liang et&#xa0;al., 2019</xref>).</p>
<p>In the late stage, proteins regulating nutrient exploitation and fungal growth ensure continued proliferation and survival within the host. The exoproteome is predominantly characterized by proteins involved in nutrient exploitation from the host and the regulation of fungal growth. Notably, the upregulation of VFPPC_04753 (aminoalcoholphosphotransferase: AAPTs) implies that <italic>P. chlamydosporia</italic> may enhance its capacity for cell membrane repair and synthesis, which is crucial for maintaining cell integrity under the stress imposed by the host&#x2019;s immune response. AAPTs are integral membrane proteins whose activity has been shown to occur in microsomal fractions of animal, yeast, and plant cells (<xref ref-type="bibr" rid="B3">Bai et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B31">Liu et&#xa0;al., 2015</xref>). These enzymes play a pivotal role in the synthesis of essential membrane components, providing a potential mechanism for the fungus to adapt to the hostile environment of the host. This supports the idea that <italic>P. chlamydosporia</italic> upregulates AAPTs to facilitate membrane stability and function, essential for its survival and parasitic interactions. In the later stage of hyphal infection of nematode eggs, the interaction between the hyphae and nematode eggs becomes closer and more complex. This protein may be involved in the regulation of intracellular redox balance, which is crucial for the survival of hyphae under oxidative stress. During the infection process, the nematode eggs may initiate defense mechanisms to produce some substances with oxidative activity. The upregulation of this protein helps the hyphae to scavenge excessive reactive oxygen species (ROS), protecting intracellular biomacromolecules from oxidative damage. As noted in previous studies, plants are known to produce ROS as a defense mechanism against pathogen invasion (<xref ref-type="bibr" rid="B10">Camejo et&#xa0;al., 2019</xref>), and <xref ref-type="bibr" rid="B35">Morano et&#xa0;al. (2012)</xref> demonstrated that antioxidant enzymes can protect cells from oxidative damage caused by ROS (<xref ref-type="bibr" rid="B35">Morano et&#xa0;al., 2012</xref>). This finding can be used to support the role of antioxidant enzymes in defending against oxidative damage. At the early stages, the fungal focus on proteolysis facilitates host invasion, whereas in the late stages, the focus shifts toward utilizing the host&#x2019;s carbohydrate reserves. This transition indicates a metabolic adaptation essential for fungal survival and growth within the nematode egg. <xref ref-type="bibr" rid="B38">Ramesh et&#xa0;al. (2016)</xref> also observed a similar metabolic shift in <italic>P. chlamydosporia</italic>, where the fungus transitions from proteolysis to nutrient acquisition, particularly sugars and amino acids, to support its growth during infection stages (<xref ref-type="bibr" rid="B38">Ramesh et&#xa0;al., 2016</xref>). In addition to carbohydrate metabolism, ribonuclease activity (GO:0016810) emerges as an enriched term in the late infection stages, pointing to a strategy where <italic>P. chlamydosporia</italic> may manipulate host RNA metabolism. This is crucial for suppressing the host immune response or altering cellular processes that could hinder fungal proliferation. As <xref ref-type="bibr" rid="B37">Olombrada et&#xa0;al. (2017)</xref> suggested, ribonucleases may degrade host RNA and interfere with immune signaling, providing <italic>P. chlamydosporia</italic> a competitive advantage by preventing host defense mechanisms from being fully activated (<xref ref-type="bibr" rid="B37">Olombrada et&#xa0;al., 2017</xref>). Furthermore, the sustained enrichment of proteolysis in the late stages suggests that protein degradation remains an essential process for maintaining fungal growth within the host (<xref ref-type="bibr" rid="B20">Gortari and Hours, 2008</xref>; <xref ref-type="bibr" rid="B23">Hirano et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B40">Shinya et&#xa0;al., 2008</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Key KEGG pathway analysis of the proteins with different abundance</title>
<p>KEGG analysis reveals that during the early stage of infection, the mitogen-activated protein kinase (MAPK) signaling pathway exhibits significant dynamic changes, with notable upregulation of transcriptional repressors and histidine phosphotransferases. Although direct evidence demonstrating the effective suppression of host immune responses by these factors is currently lacking, this upregulation is highly likely associated with the fungus establishing a survival niche and evading host immune surveillance. The MAPK signaling pathway has long been recognized as a key player in the infection process of plant pathogenic fungi. <xref ref-type="bibr" rid="B21">Hamel et&#xa0;al. (2012)</xref> systematically summarized the role of this pathway in plant pathogenic fungi, indicating that the invasive growth pathway (IG pathway) regulates infection-related morphogenesis, such as the formation of appressoria, infection pegs, and invasive hyphae, thereby strongly supporting fungal infection (<xref ref-type="bibr" rid="B21">Hamel et&#xa0;al., 2012</xref>). Concurrently, histidine phosphotransferase plays a critical role in enhancing fungal infectivity. It creates a more favorable infection environment by modulating the metabolism and immune responses of host cells. Studies on <italic>Magnaporthe oryzae</italic> by <xref ref-type="bibr" rid="B51">Zhao et&#xa0;al. (2005)</xref> showed that the histidine phosphotransferase deletion mutant (&#x394;hpt) exhibited significantly reduced virulence and impaired infection ability, accompanied by excessive activation of host immune responses (<xref ref-type="bibr" rid="B51">Zhao et&#xa0;al., 2005</xref>). The upregulation of histidine phosphotransferase observed in this study with <italic>P. chlamydosporia</italic> aligns with these findings, confirming its key role in fungal growth and infection. Additionally, research by <xref ref-type="bibr" rid="B45">Van Thuat et&#xa0;al. (2012)</xref> and <xref ref-type="bibr" rid="B25">Jain et&#xa0;al. (2011)</xref> has also demonstrated the important role of the MAPK pathway in other plant pathogenic fungi. FgOS-2 (a MAPK gene in <italic>Fusarium graminearum</italic>) and MpkA (a MAPK gene in <italic>Aspergillus nidulans</italic>) are similarly decisive in regulating cell wall integrity, oxidative stress responses, and pathogenicity (<xref ref-type="bibr" rid="B25">Jain et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B45">Van Thuat et&#xa0;al., 2012</xref>). These studies indicate that the MAPK pathway is indispensable for both cell wall structural remodeling and countering host immune responses.</p>
<p>During the mid-infection stage, arginine and proline metabolic pathways also play pivotal roles. Notably, peptidyl arginine deiminase-like enzymes are downregulated, while aldehyde dehydrogenase (NAD<sup>+</sup>) and arginine enzyme family domain-containing proteins show upregulation trends. Arginine serves not only as a key precursor for protein synthesis but also participates in fungal virulence regulation through the urea cycle and nitric oxide synthesis pathway (<xref ref-type="bibr" rid="B46">Wu and Morris, 1998</xref>). Proline, meanwhile, aids fungi in coping with environmental stresses during infection by maintaining cellular osmotic pressure and antioxidant capacity (<xref ref-type="bibr" rid="B27">Lehmann et&#xa0;al., 2010</xref>). Studies on the interaction between <italic>Trichoderma harzianum</italic> and plants have revealed that arginine and proline metabolic pathways are upregulated during symbiosis, enabling fungi to adapt to the plant root environment and promote plant growth (<xref ref-type="bibr" rid="B41">Shoresh et&#xa0;al., 2010</xref>).</p>
<p>The upregulation of sphingolipid metabolism in the mid- to late stages suggests intricate interactions between <italic>P. chlamydosporia</italic> and its host. Sphingolipids like ceramide and sphingosine are crucial for regulating immune responses, cell survival, and apoptosis. While the host may upregulate sphingolipid metabolism as a defensive measure, <italic>P. chlamydosporia</italic> may modulate this pathway to trigger host cell apoptosis or autophagy, enhancing its ability to evade immune detection. Previous research by <xref ref-type="bibr" rid="B13">Chiang et&#xa0;al. (2014)</xref> has shown that sphingolipids and their metabolite neutral amides have a wide distribution in the cell membranes of animal and plant tissues (<xref ref-type="bibr" rid="B13">Chiang et&#xa0;al., 2014</xref>). They are actively involved in numerous crucial signal transduction processes like cell growth, differentiation, the aging process, and programmed cell death, thereby fulfilling various biological functions within cells. With regard to nematodes, these substances are capable of influencing the nematode&#x2019;s nervous system and are essential for the development of the epidermal stratum corneum. These findings are consistent with those reported by <xref ref-type="bibr" rid="B29">Liang et&#xa0;al. (2019)</xref> (<xref ref-type="bibr" rid="B29">Liang et&#xa0;al., 2019</xref>). They showed that during the early stages of infection, the upregulation of sphingomyelin phosphodiesterase and downregulation of sphinganine C4-monooxygenase and GTPase Kras accelerated sphingolipid metabolism, leading to an increase in neutral amide content. Between late stages, neutral ceramides were upregulated, further promoting sphingolipid metabolism. Additionally, this metabolic shift may provide energy for the fungus, helping it adapt to nutritional stress and hypoxic conditions within the host.</p>
<p>The functional roles of DEPs were validated through qRT-PCR analysis, which confirmed the trends observed in the proteomic data. The upregulation of SNF2 family helicase and HPT1p (a phosphotransferase) during early stages suggests involvement in DNA repair and host cell signaling modulation. The downregulation of metalloproteases and alkaline serine proteases at later stages highlights the intricate regulation of protein degradation, reflecting the need for precise control over host tissue breakdown and fungal growth. These results support the hypothesis that fungal infection is a highly regulated process, with specific proteins being upregulated or downregulated in response to different stages of infection.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study provides a comprehensive investigation of <italic>P. chlamydosporia</italic> infection on nematode eggs, combining advanced microscopy and proteomics to uncover the molecular mechanisms of parasitism. For the first time, we visualized the ultrastructural details of the interaction using TEM and identified significant changes in protein expression across different infection stages. Key pathways involved in proteolysis and amino acid metabolism were highlighted, offering new insights into the fungal parasitic strategy. These findings not only deepen our understanding of the host-colonization mechanisms but also hold significant implications for the development of <italic>P. chlamydosporia</italic> as a sustainable biological control agent. The molecular strategies identified here could be leveraged to optimize their application in integrated animal-parasitic helminth management systems, and future research should focus on translating these insights into practical solutions for large-scale agricultural use.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are publicly available. This data can be found here: ProteomeXchange Consortium / PXD067347.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The manuscript presents research on animals that do not require ethical approval for their study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>LH: Conceptualization, Data curation, Formal Analysis, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. FZ: Data curation, Formal Analysis, Software, Visualization, Writing &#x2013; review &amp; editing. HL: Data curation, Software, Writing &#x2013; review &amp; editing. CM: Formal Analysis, Methodology, Writing &#x2013; review &amp; editing. XJ: Conceptualization, Software, Writing &#x2013; review &amp; editing. LJ: Methodology, Resources, Writing &#x2013; review &amp; editing. ZF: Investigation, Supervision, Writing &#x2013; review &amp; editing. RW: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. Funding for this study was provided by the National Natural Science Foundation of China (grant no. 32160838), key R &amp; D and achievement transformation projects of Inner Mongolia, China (grant no. 2023YFDZ0048), National Center of Technology Innovation for Dairy (grant no. 2023-JSGG-5), Research Project Funding for First-class Disciplines at Inner Mongolia Education Department (grant no. YLXKZX-NND-012), Technology Support Project of Major Innovation Platform (Base) Construction (grant no. KCX2024016), and the Natural Science Foundation of Inner Mongolia, China (grant no. 2023LHMS03022, 2023LHMS03005, 2021MS03088).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>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.</p>
</sec>
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