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<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
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<issn pub-type="epub">1664-3224</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1774776</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
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<title-group>
<article-title>Transcriptomic and proteomic analyses of the immune responses of C-type lectin from <italic>Conogethes punctiferalis</italic> against fungal infection</article-title>
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<name><surname>Li</surname><given-names>Shaohua</given-names></name>
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<name><surname>Kang</surname><given-names>Zhiwei</given-names></name>
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<name><surname>Li</surname><given-names>Xiangdong</given-names></name>
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<contrib contrib-type="author">
<name><surname>Wei</surname><given-names>Hailei</given-names></name>
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<name><surname>Yin</surname><given-names>Xiangchu</given-names></name>
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<name><surname>Liu</surname><given-names>Fanghua</given-names></name>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Zheng</surname><given-names>Fangqiang</given-names></name>
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<aff id="aff1"><label>1</label><institution>College of Plant Protection, Shandong Agricultural University</institution>, <city>Tai&#x2019;an</city>, <state>Shandong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>College of Resources and Environment, Shandong Agricultural University</institution>, <city>Tai&#x2019;an</city>, <state>Shandong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>College of Life Science, Hebei University</institution>, <city>Baoding</city>, <state>Hebei</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Institute of Plant Protection, Shandong Academy of Agricultural Sciences</institution>, <city>Jinan</city>, <state>Shandong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Fangqiang Zheng, <email xlink:href="mailto:fqzheng@sdau.edu.cn">fqzheng@sdau.edu.cn</email>; Fanghua Liu, <email xlink:href="mailto:liufh@hbu.edu.cn">liufh@hbu.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-26">
<day>26</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1774776</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Li, Kang, Li, Wei, Yin, Liu and Zheng.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Kang, Li, Wei, Yin, Liu and Zheng</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>C-type lectins (CTLs), a family of pattern recognition receptors, participate in insect innate immunity and could serve as potential targets for insect pest management. However, information about CTLs in the immune responses of <italic>Conogethes punctiferalis</italic>, a destructive insect pest damaging to maize in China, has received minimal attention.</p>
</sec>
<sec>
<title>Methods</title>
<p>The integrative transcriptomic and proteomic analyses of non-infected and <italic>Beauveria bassiana</italic>-infected <italic>C</italic>. <italic>punctiferalis</italic> larvae were performed using RNA-Seq and iTRAQ techniques. The survival rates and phenotypic changes of larvae infected with <italic>B</italic>. <italic>bassiana</italic> were investigated using RNA interference (RNAi).</p>
</sec>
<sec>
<title>Results</title>
<p>Based on the transcriptome and proteome data, screening identified 314 immune-related genes and proteins, including 14 CTLs. According to the number and organization of carbohydrate recognition domains (CRDs), six CTLs were classified as CTL-S (single CRD), while eight CTLs were classified as IML (dual CRD). The expression of a novel CTL, designated <italic>CpIML4</italic>, increased in response to <italic>B</italic>. <italic>bassiana</italic> infection. The developmental stage and larval tissue expression analyses showed that <italic>CpIML4</italic> was highly expressed in the 5<sup>th</sup>-instar larvae and their hemolymph, respectively. RNAi-mediated knockdown of <italic>CpIML4</italic> significantly decreased resistance to <italic>B. bassiana</italic>, as indicated by lower survival rates and pathological phenotypic changes of larval cuticle. The larvae exhibited developmental malformation and black spots on the cuticle, and the dead larvae turned black and wrinkled.</p>
</sec>
<sec>
<title>Discussion</title>
<p>These results demonstrate that <italic>CpIML4</italic> might play a crucial role in the immune responses of <italic>C</italic>. <italic>punctiferalis</italic> against <italic>B</italic>. <italic>bassiana</italic> infection. Collectively, our findings not only provide a comprehensive view of the immune responses of <italic>C</italic>. <italic>punctiferalis</italic> to <italic>B. bassiana</italic> infection, but also enhance our understanding of <italic>C</italic>. <italic>punctiferalis</italic> CTLs and highlight candidate genes for RNAi-mediated insect pest control.</p>
</sec>
</abstract>
<kwd-group>
<kwd><italic>Beauveria bassiana</italic></kwd>
<kwd><italic>Conogethes punctiferalis</italic></kwd>
<kwd>C-type lectin</kwd>
<kwd>insect immunity</kwd>
<kwd>proteomic</kwd>
<kwd>transcriptomic</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Natural Science Foundation of Shandong Province (ZR2021QC031), the National Key Research and Development Plan in China (2016YFD0300701), and Shandong Modern Agricultural Technology and Industry System (SDAIT-02-10).</funding-statement>
</funding-group>
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<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="14"/>
<word-count count="7101"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Comparative Immunology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Unlike vertebrates, insects lack lymphocyte-mediated adaptive immune systems; nonetheless, they are capable of adapting to adverse environments rich in various pathogenic microorganisms (<xref ref-type="bibr" rid="B1">1</xref>). This adaptation is attributed to their powerful and highly-developed innate immune systems, which include cellular and humoral immunity (<xref ref-type="bibr" rid="B2">2</xref>). To combat infections by various pathogenic microorganisms, insects have evolved highly sensitive recognition mechanisms and effective immune defense strategies (<xref ref-type="bibr" rid="B2">2</xref>). Pattern recognition receptors (PRRs) are proteins encoded by the germline, which are able to recognize and bind to pathogen-associated molecular patterns (PAMPs) to induce a cascade of downstream immune responses (<xref ref-type="bibr" rid="B3">3</xref>). The most common PRRs in insects include peptidoglycan recognition proteins (PGRPs), Gram-negative bacteria binding proteins (GNBPs), and C-type lectins (CTLs) (<xref ref-type="bibr" rid="B4">4</xref>). Among them, CTLs are a large superfamily of proteins that exist in insects as well as other invertebrates, vertebrates, and even plants (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>CTLs comprise calcium ion (Ca<sup>2+</sup>)-dependent carbohydrate-binding proteins that recognize a variety of glycoconjugates via carbohydrate recognition domains (CRDs), which are also known as C-type lectin-like domains (CTLDs) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). The typical CRD consists of 110 to 130 amino acid residues and has a double-loop structure containing two <italic>&#x3b1;</italic>-helices, antiparallel <italic>&#x3b2;</italic>-sheets, and two or three pairs of conserved disulfide bonds (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). In insects, CRDs are essential for determining the ligand-binding specificity of CTLs, which depends on their tripeptide motifs. For example, EPN (Glu-Pro-Asn) exhibits a higher binding affinity for mannose-type ligands, whereas QPD (Gln-Pro-Asp) demonstrates a stronger binding affinity for galactose-type ligands (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Atypical motifs have also been characterized in insects, and these include EPD (Glu-Pro-Asp), QPN (Gln-Pro-Asn), EPS (Glu-Pro-Ser), and QPR (Gln-Pro-Arg) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Insect CTLs are classified into three categories based on CRD organization. CTLs with a single CRD (CTL-S) are common in most insects (<xref ref-type="bibr" rid="B14">14</xref>). Some CTLs with a dual CRD, namely immulectin (IML), exist widely in lepidopteran insects; for example, MsIML in <italic>Manduca sexta</italic> and BmLBP (lipopolysaccharide-binding protein), BmMBP (multi-binding protein), and BmLEL (low-expression lectin) in <italic>Bombyx mori</italic> (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Additionally, some CTLs that contain a single CRD with other functional domains have been identified in insects. These CTLs are also known as CTL-X and include complement control protein (CCP), complement C1r/C1s, Uegf, Bmp1 (CUB), epidermal growth factor-like domains (EGF), and immunoglobulin (IG) (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>RNA sequencing (RNA-Seq) and isobaric tags for relative and absolute quantification (iTRAQ) techniques have been widely employed in entomological studies in recent years (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). CTLs in some lepidopteran insects have been determined based on these analytical techniques (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B17">17</xref>). The widely known functions of insect CTLs influence their innate immune responses, including prophenoloxidase (PPO) activation, melanization, opsonization, antimicrobial peptide (AMP) expression, hemocyte-mediated phagocytosis, nodulation, and encapsulation (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B18">18</xref>). For instance, <italic>MsIML2</italic> can stimulate phenol oxidase activation in the hemolymph and participate in the encapsulation and melanization in <italic>M. sexta</italic> (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). In <italic>B. mori</italic>, CTLs can enhance the phagocytosis, nodulation, and encapsulation ability of hemocytes, regulate AMPs, PPOs, and apoptosis-related gene expressions, and even act as opsonins in the hemolymph to promote the elimination of pathogens (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>The yellow peach moth, <italic>Conogethes punctiferalis</italic> (Lepidoptera: Crambidae), is a highly destructive agricultural insect pest with a wide distribution across subtropical and tropical Asia and Australia (<xref ref-type="bibr" rid="B24">24</xref>). As a polyphagous insect pest, it can damage more than 100 crop species, including field crops, fruit trees, and vegetables (<xref ref-type="bibr" rid="B25">25</xref>). In recent years, the population of <italic>C</italic>. <italic>punctiferalis</italic> has gradually increased on maize in the Huang-Huai-Hai region of China (<xref ref-type="bibr" rid="B26">26</xref>). Its larvae are able to tunnel into maize ears, thereby inducing fungal ear rot diseases and toxins (such as aflatoxin) production from those diseases, which not only results in serious economic losses to maize but also poses a threat to food safety (<xref ref-type="bibr" rid="B27">27</xref>). Currently, chemical insecticides are the most common and effective measure used to control <italic>C</italic>. <italic>punctiferalis</italic> (<xref ref-type="bibr" rid="B28">28</xref>). However, the extensive use of these products can result in environmental pollution and insecticide resistance; therefore, eco-friendly pest management agents are needed (<xref ref-type="bibr" rid="B29">29</xref>). Biological control using entomopathogenic fungi is an effective alternative strategy to chemical insecticides for insect pest control (<xref ref-type="bibr" rid="B30">30</xref>). <italic>Beauveria bassiana</italic>, a common entomopathogenic fungus, offers a promising and environmentally friendly alternative, and it has been widely applied in insect pest management (<xref ref-type="bibr" rid="B31">31</xref>). The innate immune system of insects is a key factor affecting the fungal biocontrol potential (<xref ref-type="bibr" rid="B32">32</xref>), and understanding this can improve the effectiveness of applying fungal biocontrol agents. Recently, RNAi has also emerged as a valuable technology in the management of species-specific insect pests (<xref ref-type="bibr" rid="B33">33</xref>). For example, the United States Environmental Protection Agency has approved a sprayable RNAi-based bioinsecticide, Calantha&#x2122;, that targets the Colorado potato beetle, <italic>Leptinotarsa decemlineata</italic>, to protect potato plants (<xref ref-type="bibr" rid="B34">34</xref>). Unlike traditional chemical insecticides, RNAi-based bioinsecticides are novel and valuable alternatives due to their strong efficacy, high specificity, and safety for the environment and non-target organisms (<xref ref-type="bibr" rid="B35">35</xref>). Noticeably, RNAi-mediated insect pest control is largely determined by the selection of key target genes (<xref ref-type="bibr" rid="B36">36</xref>). CTLs are important immune recognition molecules in insects and may represent potential targets for insect pest control. However, knowledge on CTLs in <italic>C</italic>. <italic>punctiferalis</italic> during fungal infections remains poorly understood.</p>
<p>In this study, the innate immune responses of <italic>C</italic>. <italic>punctiferalis</italic> larvae following fungal infection were investigated by RNA-Seq and iTRAQ techniques. The CTLs of <italic>C</italic>. <italic>punctiferalis</italic> larvae were screened and identified based on the transcriptome and proteome data. Furthermore, the roles of a CTL, named <italic>CpIML4</italic>, were analyzed using RNA interference (RNAi) after injection with <italic>B</italic>. <italic>bassiana</italic>. Our results contribute to a better understanding of CTL functions in insect immunity, and provide a new theoretical basis for RNAi-based insect pest control.</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>Insect rearing and fungus culturing</title>
<p>The initial <italic>C</italic>. <italic>punctiferalis</italic> population was collected from maize fields in Tai&#x2019;an City, Shandong province, China. All <italic>C</italic>. <italic>punctiferalis</italic> larvae were reared on fresh maize grains and adult moths were fed with a 10% (<italic>v</italic>/<italic>v</italic>) honey solution in an artificial climate incubator set at 25 &#xb1; 1 &#xb0;C, 70 &#xb1; 5% relative humidity, and a photoperiod 14:10 (L:D) h.</p>
<p>The cultivation of <italic>B</italic>. <italic>bassiana</italic> strain (ACCC30107), preparation of conidial suspension, and method of <italic>C</italic>. <italic>punctiferalis</italic> larvae infected with <italic>B</italic>. <italic>bassiana</italic> were performed in accordance with our previous study (<xref ref-type="bibr" rid="B37">37</xref>). Then, the samples of larvae were frozen in liquid nitrogen at 12 h post injection (hpi) based on previous findings for further use (<xref ref-type="bibr" rid="B38">38</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Transcriptome sequencing and analysis</title>
<p>The total RNA of non-infected and <italic>B</italic>. <italic>bassiana</italic>-infected larvae was extracted using TRNzol Universal Reagent (Tiangen, Beijing, China). Each control or treatment group included nine larvae, and each bioassay was conducted in triplicate. High-quality RNA samples were used to construct libraries that were sequenced on an Illumina NovaSeq 6000 platform at Beijing Novogene Co., Ltd., China. Quality control, <italic>de novo</italic> transcriptome assembly, and gene functional annotation were conducted as previously described (<xref ref-type="bibr" rid="B39">39</xref>). The differentially expressed genes (DEGs) were identified by DESeq2 software. The screening criteria of significantly differential genes were set as <italic>p</italic> adj &lt; 0.05 and |log<sub>2</sub>(fold change, FC)| &gt; 1. GO and KEGG pathway enrichment analyses of DEGs were performed.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Proteome sequencing and analysis</title>
<p>The <italic>C</italic>. <italic>punctiferalis</italic> larvae samples used for proteome sequencing were the same as those for transcriptome sequencing. Protein extraction, iTRAQ labeling, and LC-MS/MS analysis were performed as previously described (<xref ref-type="bibr" rid="B37">37</xref>). Proteome sequencing analysis was also conducted using the iTRAQ technique at Beijing Novogene Co., Ltd., China. The raw data were analyzed by the Proteome Discoverer 2.2 software. The results of protein quantitation were statistically analyzed by <italic>t</italic>-test and the proteins with significant differences between the treatment group and the control group were selected (the up-regulated expression: FC &#x2265; 1.2 and <italic>p</italic> &#x2264; 0.05; the down-regulated expression: FC &#x2264; 0.83 and <italic>p</italic> &#x2264; 0.05) and defined as differentially expressed proteins (DEPs). Functional annotation and enrichment analysis of DEPs were performed as previously described (<xref ref-type="bibr" rid="B37">37</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Identification and bioinformatics analysis of CTLs</title>    
<p>All CTLs of <italic>C</italic>. <italic>punctiferalis</italic> were retrieved and identified based on the transcriptome and proteome data. The open reading frame (ORF) of the CTLs was obtained using ORF finder (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/orffinder/">https://www.ncbi.nlm.nih.gov/orffinder/</ext-link>). The theoretical molecular weight (MW) and isoelectric point (pI) of the mature protein were calculated using ExPASy (<ext-link ext-link-type="uri" xlink:href="http://web.expasy.org/compute_pi/">http://web.expasy.org/compute_pi/</ext-link>). Predictions of the signal peptide, conserved domains, and transmembrane regions were made using SignalP 5.0 (<ext-link ext-link-type="uri" xlink:href="https://services.healthtech.dtu.dk/service.php?SignalP-5.0">https://services.healthtech.dtu.dk/service.php?SignalP-5.0</ext-link>), SMART (<ext-link ext-link-type="uri" xlink:href="http://smart.embl-heidelberg.de/">http://smart.embl-heidelberg.de/</ext-link>), and TMHMM (<ext-link ext-link-type="uri" xlink:href="https://services.healthtech.dtu.dk/services/TMHMM-2.0/">https://services.healthtech.dtu.dk/services/TMHMM-2.0/</ext-link>), respectively. NetNGlyc 1.0 (<ext-link ext-link-type="uri" xlink:href="https://services.healthtech.dtu.dk/services/NetNGlyc-1.0/">https://services.healthtech.dtu.dk/services/NetNGlyc-1.0/</ext-link>) and NetOGlyc 4.0 (<ext-link ext-link-type="uri" xlink:href="https://services.healthtech.dtu.dk/services/NetOGlyc-4.0/">https://services.healthtech.dtu.dk/services/NetOGlyc-4.0/</ext-link>) were used to predict the N-glycosylation and O-glycosylation sites, respectively. A three-dimensional (3D) structure model was predicted using COFACTOR and COACH based on the I-TASSER server (<ext-link ext-link-type="uri" xlink:href="https://zhanggroup.org/I-TASSER/">https://zhanggroup.org/I-TASSER/</ext-link>) (<xref ref-type="bibr" rid="B40">40</xref>). The results of generated PDB files were visualized using the PyMOL Molecular Graphics System 2.6 software.</p>
<p>The amino acid sequences of the CTLs were retrieved and downloaded from GenBank. The CTLs from <italic>B. mori</italic>, <italic>Helicoverpa armigera</italic>, <italic>Spodoptera litura</italic>, <italic>M. sexta</italic>, <italic>Galleria mellonella</italic>, <italic>Ostrinia furnacalis</italic>, <italic>Drosophila melanogaster</italic>, <italic>Anopheles gambiae</italic>, <italic>Aedes aegypti</italic>, <italic>Rhynchophorus ferrugineus</italic>, <italic>Sitophilus oryzae</italic>, <italic>Dendroctonus ponderosae</italic>, <italic>Rhopalosiphum maidis</italic>, <italic>Rhopalosiphum padi</italic>, <italic>Bemisia tabaci</italic>, and <italic>Macrobrachium rosenbergii</italic> were selected for multiple sequence alignment and phylogenetic analysis. Multiple amino acid sequences were aligned using ClustalW (<ext-link ext-link-type="uri" xlink:href="https://www.genome.jp/tools-bin/clustalw">https://www.genome.jp/tools-bin/clustalw</ext-link>) and decorated with ESPript 3.0 (<ext-link ext-link-type="uri" xlink:href="https://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi">https://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi</ext-link>). Phylogenetic trees were constructed using MEGA 11.0 software through the neighbor-joining method (bootstrap = 1,000 replications).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>cDNA cloning and sequencing analysis of <italic>CpIML4</italic></title>
<p>The total RNA of 5<sup>th</sup>-instar larvae (3-day-old) was extracted and reverse transcribed into cDNA according to the manufacturer&#x2019;s instructions. The coding sequence (CDS) of <italic>CpIML4</italic> from the transcriptome data was employed to design CDS-specific primers (<italic>IML4</italic>-F and <italic>IML4</italic>-R) using Primer Premier 6 software (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>). The sequence of <italic>CpIML4</italic> was amplified by PCR using above primers. The PCR products were purified and ligated into the pMD&#x2122; 18-T Vector (TaKaRa, Japan). The positive clones were selected by PCR and confirmed by sequencing at Beijing Liuhe BGI Co., Ltd., China.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Expression profile analysis of <italic>CpIML4</italic></title>
<p>Samples of the developmental stages, including eggs (1-day-old, 300 eggs), 1<sup>st</sup>-instar larvae (1-day-old, 100 individuals), 2<sup>nd</sup>-instar larvae (1-day-old, 80 individuals), 3<sup>rd</sup>-instar larvae (1-day-old, 40 individuals), 4<sup>th</sup>-instar larvae (1-day-old, 20 individuals), 5<sup>th</sup>-instar larvae (1-day-old, 10 individuals), pupae (1-day-old, 10 individuals), and adults (1-day-old, 10 individuals) were collected. Samples of different tissues, including the head (20 individuals), midgut (20 individuals), fat body (20 individuals), hemolymph (20 individuals), and cuticle (20 individuals), were collected from 3-day-old 5<sup>th</sup>-instar larvae. Three biological replicates were analyzed for each sample. The methods of total RNA extraction and cDNA synthesis were the same as those described above. Specific primers (q<italic>IML4</italic>-F and q<italic>IML4</italic>-R) for <italic>CpIML4</italic> were designed using Primer Premier 6 software (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>). The <italic>C</italic>. <italic>punctiferalis</italic> ribosomal protein 49 (RP49) was used as an internal control in all trials. A reaction system of 20 &#x3bc;L was prepared including 10 &#x3bc;L of SuperReal PreMix Plus (2&#xd7;), 1 &#x3bc;L of cDNA, 1 &#x3bc;L of upstream and downstream primer, and 7 &#x3bc;L of RNase-free ddH<sub>2</sub>O. The relative expression level of <italic>CpIML4</italic> was analyzed by qRT-PCR using a Bio-Rad CFX96 Touch Real Time PCR Detection System (Bio-Rad, USA) with the following setting: 95 &#xb0;C for 15 min, 40 cycles of 95 &#xb0;C for 10 s, and 60 &#xb0;C for 30 s. All samples were analyzed in triplicate and procedures were repeated thrice as independent biological replicates. The 2<sup>&#x2212;&#x394;&#x394;CT</sup> method (<xref ref-type="bibr" rid="B41">41</xref>) was used to determine the relative expression levels of <italic>CpIML4</italic>.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>RNAi of <italic>CpIML4</italic></title>
<p>The double-stranded RNA (dsRNA) of <italic>CpIML4</italic>, ds<italic>IML4</italic>, was synthesized using the T7 RiboMAX&#x2122; Express RNAi System (Promega, USA). Green fluorescent proteins (GFP) were employed to generate the dsRNA (ds<italic>GFP</italic>).Specific primers for the target gene (ds<italic>IML4</italic>-F, ds<italic>IML4</italic>-R, ds<italic>IML4</italic>-T7F, and ds<italic>IML4</italic>-T7R) and for the GFP gene (ds<italic>GFP</italic>-F, ds<italic>GFP</italic>-R, ds<italic>GFP</italic>-T7F, and ds<italic>GFP</italic>-T7R) were designed using Primer Premier 6 software (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>). The dsRNA Off-target Minimization Generator (dsOMG) (<ext-link ext-link-type="uri" xlink:href="https://dsomg.sysu.edu.cn">https://dsomg.sysu.edu.cn</ext-link>) (<xref ref-type="bibr" rid="B42">42</xref>) was used to select ds<italic>IML4</italic> fragments with a low risk of off-target effects. The integrity of dsRNA was checked by 1% agarose gel electrophoresis. The NanoDrop One spectrophotometer (Thermo Fisher Scientific, USA) was used to measure the concentration of dsRNA, which was subsequently diluted with nuclease-free water to a final concentration of 1 &#x3bc;g/&#x3bc;L. A total of 2 &#x3bc;g of ds<italic>IML4</italic> was injected into the hemocoel of 5<sup>th</sup>-instar larvae (3-day-old) using a microinjector (Hamilton, Switzerland). Larvae injected with the same volume of ds<italic>GFP</italic> were used as controls. The larvae from the treatment and control groups were collected at 12, 24, and 36 hpi. The relative expression levels of <italic>CpIML4</italic> were validated by qRT-PCR.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Survival assay after <italic>CpIML4</italic> RNAi</title>
<p>The 5<sup>th</sup>-instar larvae (3-day-old, 120 individuals) were divided into four groups to evaluate their survival rates after <italic>CpIML4</italic> RNAi: (I) ds<italic>GFP</italic>+PBS, 30 larvae were injected with 2 &#x3bc;L sterile PBS after injection with ds<italic>GFP</italic> (as control); (II) ds<italic>IML4</italic>+PBS, 30 larvae were injected with 2 &#x3bc;L sterile PBS after <italic>CpIML4</italic> RNAi; (III) ds<italic>GFP</italic>+Bb, 30 larvae were injected with 2 &#x3bc;L <italic>B</italic>. <italic>bassiana</italic> conidial suspension (5 &#xd7; 10<sup>4</sup> conidia/&#x3bc;L) after injection with ds<italic>GFP</italic> (as a control); (IV) ds<italic>IML4</italic>+Bb, 30 larvae were injected with 2 &#x3bc;L <italic>B</italic>. <italic>bassiana</italic> conidial suspensions (5 &#xd7; 10<sup>4</sup> conidia/&#x3bc;L) after <italic>CpIML4</italic> RNAi. Three independent replicates were used in each trial. All larvae were maintained in the above-mentioned normal rearing conditions. The survival rates and phenotypic changes of larvae were recorded every 12 h until pupation or death.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Statistical analysis</title>
<p>Statistical analysis was conducted using IBM SPSS Statistics 26 software and GraphPad Prism 9.0 software. The temporal and spatial expression data were examined through a one-way ANOVA; RNAi efficiency was determined through an unpaired <italic>t</italic>-test; and the Kaplan-Meier survival rates were performed using the log-rank (Mantel-Cox) test. All data were evaluated for mean &#xb1; standard error (SE), and significant differences between values were defined as <italic>p</italic> &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Transcriptomic analysis</title>
<p>A total of 132,834,380 raw reads were generated, and 127,808,299 clean reads were obtained after quality filtration (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;2</bold></xref>). In total, 135,925,102 transcripts and 45,921,295 unigenes were obtained using the Trinity 2.5.1 software and the Corset 4.6 software (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;3</bold></xref>). A total of 33,648 unigenes were annotated in seven databases, including NR, NT, KEGG, SwissProt, Pfam, GO, and KOG (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;4</bold></xref>). Among these, 11,978 unigenes were annotated and grouped into three GO categories (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1A</bold></xref>). 6,000 unigenes were annotated and distributed across 26 KOG categories (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1B</bold></xref>). 7,080 unigenes were annotated and clustered into five KEGG metabolic categories (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1C</bold></xref>). According to the homology analysis, the majority of unigenes mapped to <italic>O</italic>. <italic>furnacalis</italic> (8,359 unigenes), followed by <italic>Chilo suppressalis</italic> (1,851 unigenes), and <italic>H</italic>. <italic>armigera</italic> (754 unigenes) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;2</bold></xref>).</p>
<p>According to the differential gene screening criteria, a total of 114 DEGs were identified, of which 76 were up-regulated and 38 were down-regulated (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). A total of 54 DEGs were annotated to 452 GO terms based on GO enrichment analysis. Among these, the most enriched GO terms were &#x201c;pathogenesis&#x201d; (GO 0009405) in biological process, &#x201c;extracellular region&#x201d; (GO 0005576) in cellular component, and &#x201c;hydrolase activity&#x201d; (GO 0016787) in molecular function (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). Based on the KEGG pathway enrichment analysis, 16 DEGs annotated to 34 KEGG terms. The most enriched KEGG pathways were &#x201c;protein processing in endoplasmic reticulum&#x201d; (ko 04141), &#x201c;antigen processing and presentation&#x201d; (ko 04612), &#x201c;estrogen signaling pathway&#x201d; (ko 04915), and &#x201c;longevity regulating pathway-multiple species&#x201d; (ko 04213) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Transcriptome analysis of <italic>C</italic>. <italic>punctiferalis</italic> larvae infected with <italic>B</italic>. <italic>bassiana</italic>. <bold>(A)</bold> Volcano plot. <bold>(B)</bold> GO enrichment analysis of DEGs. <bold>(C)</bold> KEGG pathway enrichment analysis of DEGs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1774776-g001.tif">
<alt-text content-type="machine-generated">Panel A shows a volcano plot with gene expression changes, highlighting upregulated genes in red, downregulated genes in green, and non-significant genes in black. Panel B presents a bar chart indicating the number of genes for each biological process, cellular component, and molecular function. Panel C displays a dot plot of significantly enriched pathways, with dot size representing gene count and color indicating p-value, ranked by ratio.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Proteomic analysis</title>
<p>To improve the accuracy of the proteome data, protein quality controls were conducted (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;3</bold></xref>). In total, 67,130 spectra were matched to 583,724 total spectra, and 31,653 peptides, 3,544 identified proteins and 3,431 quantifiable proteins were checked and identified (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;5</bold></xref>). In total, 1,468 proteins were functionally annotated in GO, COG, KEGG, and IPR databases (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;4</bold></xref>). Among these, a total of 2,336 proteins were annotated and grouped into three GO categories (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5A</bold></xref>). A total of 1,832 proteins were annotated and distributed across 25 COG categories (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5B</bold></xref>). A total of 3,399 proteins were annotated and clustered into five KEGG metabolic categories (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5C</bold></xref>). A total of 3,088 proteins were annotated in the IPR analysis (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5D</bold></xref>). Subcellular localization showed that 2,051 proteins were classified into 14 categories (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5E</bold></xref>).</p>
<p>According to the differential protein screening criteria, a total of 3,431 proteins were identified, of which 197 were DEPs, 109 were up-regulated proteins, and 88 were down-regulated proteins (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). In total, 117 DEPs were annotated to 132 GO terms on the basis of GO enrichment analysis. Among these, the most enriched GO terms were &#x201c;aminoglycan metabolic process&#x201d; (GO 0006022) in biological process and &#x201c;serine-type peptidase activity&#x201d; (GO 0008236) in molecular function (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). According to the KEGG pathway enrichment analysis, 80 DEPs annotated to 150 KEGG maps. The most enriched KEGG pathways were &#x201c;glutathione metabolism&#x201d; (map 00480), &#x201c;fatty acid metabolism&#x201d; (map 01212), &#x201c;ras signaling pathway&#x201d; (map 04014), &#x201c;epithelial cell signaling in <italic>Helicobacter pylori</italic> infection&#x201d; (map 05120), and &#x201c;PPAR signaling pathway&#x201d; (map 03320) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Proteome analysis of <italic>C</italic>. <italic>punctiferalis</italic> larvae infected with <italic>B</italic>. <italic>bassiana</italic>. <bold>(A)</bold> Volcano plot. <bold>(B)</bold> GO enrichment analysis of DEPs. <bold>(C)</bold> KEGG pathway enrichment analysis of DEPs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1774776-g002.tif">
<alt-text content-type="machine-generated">Figure with three panels showing proteomics data analysis. Panel A is a volcano plot with log2 fold change on the x-axis and negative log10 p-value on they-axis, highlighting upregulated (red), downregulated (green), and non-significant (black) points. Panel B is a horizontal bar graph summarizing enriched biological processes and molecular functions, the red bars are biological process, and the green bars are molecular function. Panel C is a bubble chart showingenriched pathways, with bubble size representing protein count, color indicating p-value, and pathways listed on the y-axis.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Combined analysis of transcriptomic and proteomic</title>
<p>A scatter plot of transcriptome and proteome expression levels showed a Pearson correlation coefficient of 0.055, indicating a positive correlation between protein and corresponding gene expression (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;6</bold></xref>). The corresponding relationship between the transcriptome and proteome was shown in a Venn diagram through the integration of mRNA and protein information. Of the 3,431 identified proteins, 3,377 had corresponding transcripts in the transcriptome data. A total of 114 DEGs and 197 DEPs were identified, of which only three DEGs (DEPs) were screened together (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Integrated analyses of transcriptome and proteome data. <bold>(A)</bold> Venn diagram of transcriptome and proteome expression regulation. all-T, all genes obtained from the transcriptome; diff-T, DEGs were identified by the transcriptome analysis; all-P, all proteins obtained from the proteome; diff-P, DEPs were identified by the proteome analysis. <bold>(B)</bold> Distribution of immune-related genes and proteins from <italic>C</italic>. <italic>punctiferalis</italic> transcriptome and proteome. <bold>(C)</bold> The Toll and Imd signaling pathways. All identified proteins were indicated by green background boxes, and up-regulated differential proteins were marked by red boxes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1774776-g003.tif">
<alt-text content-type="machine-generated">Venn diagram (panel A) comparing gene sets labeled diff-T, diff-P, all-T, and all-P with overlapping numbers; two pie charts (panel B) summarizing functional gene categories such as immune response effectors and pathway percentages like Toll pathway; diagram (panel C) illustrating Toll and Imd signaling pathways, including genes, proteins, and signaling interactions relevant to immune response mechanisms.</alt-text>
</graphic></fig>
<p>In total, 314 immunity-related genes and proteins were identified from the transcriptome and proteome data. These genes and proteins were grouped according to their functions, including 83 pathogen recognition molecules, 53 extracellular signal modulation, 66 intracellular signal transduction, and 112 immune response effectors (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>).</p>
<p>The transcripts (proteins) with common significant differences were selected based on GO function and KEGG pathway enrichment analysis of the transcriptome and proteome. GO functional enrichment analysis included binding, structural constituent of cuticle, and catalytic activity. In KEGG pathway enrichment analysis, Toll and Imd signaling pathways (map 04624) and metabolic pathways (map 01100) were identified (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;6</bold></xref>). In the Toll and Imd signaling pathways, a total of 15 proteins were identified in the KEGG pathway, of which two proteins were up-regulated differential proteins, namely ModSP (modular serine protease) and Relish (a nuclear factor kappa B, NF-<italic>&#x3ba;</italic>B) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Overview and general features of CTLs</title>
<p>A total of 14 CTLs of <italic>C</italic>. <italic>punctiferalis</italic> were identified, four of which were found in the transcriptome and 12 in the proteome (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). Based on CRD organization, six CTLs with a single CRD belonged to CTL-S, and the remaining eight CTLs with a dual CRD belonged to IMLs. CTL-X containing a single CRD and other functional domains were not found in the CTLs of <italic>C</italic>. <italic>punctiferalis</italic>. CTL-S1&#x2212;S5 and IML-1&#x2212;7 contained an N-terminal signal peptide, indicating the potential for secretion into the plasma. CTL-S6 was likely located in the cytoplasm due to the lack of N-terminal secretion signals. IML-8 contained a transmembrane region, suggesting a potential location on the cell membrane (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). In total, 22 CRDs were identified from all CTLs, five of which contained the EPN (Glu-Pro-Asn) motif, six contained the QPD (Gln-Pro-Asp) motif, and 11 contained atypical motifs, such as EPD (Glu-Pro-Asp) (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Schematic architectures and cluster heatmap of CTLs from <italic>C</italic>. <italic>punctiferalis</italic>. <bold>(A)</bold> Expression of CTLs from <italic>C</italic>. <italic>punctiferalis</italic> larvae based on the transcriptome and proteome data. CK-1, -2, and -3, larvae injected with sterile PBS; Bb-1, -2, and -3, larvae injected with <italic>B</italic>. <italic>bassiana</italic>. <bold>(B)</bold> Domain architectures of 14 CTLs. SP, signal peptide; CRD, carbohydrate recognition domain; LCR, low complexity region; TR, transmembrane region; aa, amino acid.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1774776-g004.tif">
<alt-text content-type="machine-generated">Panel A displays two heatmaps showing transcriptome and proteome data for CTL and IML samples, with a color scale from blue to red representing values from negative two to positive two. Panel B shows color-coded protein domain organization diagrams for the same sample set, identifying SP, CRD, LCR, Lectin_C, and TR regions by color and length in amino acids.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Structural features of CTLs from <italic>C</italic>. <italic>punctiferalis</italic> larvae.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Name</th>
<th valign="middle" align="center">ORF (aa)</th>
<th valign="middle" align="center">MW (kDa)</th>
<th valign="middle" align="center">pI</th>
<th valign="middle" align="center">SP</th>
<th valign="middle" align="center">CRD numbers</th>
<th valign="middle" align="center">Motif</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">CTL-S1</td>
<td valign="middle" align="center">207</td>
<td valign="middle" align="center">23.17</td>
<td valign="middle" align="center">5.47</td>
<td valign="middle" align="center">1-21</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">APQ</td>
</tr>
<tr>
<td valign="middle" align="center">CTL-S2</td>
<td valign="middle" align="center">204</td>
<td valign="middle" align="center">31.66</td>
<td valign="middle" align="center">5.16</td>
<td valign="middle" align="center">1-19</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">EPN</td>
</tr>
<tr>
<td valign="middle" align="center">CTL-S3</td>
<td valign="middle" align="center">219</td>
<td valign="middle" align="center">25.34</td>
<td valign="middle" align="center">6.65</td>
<td valign="middle" align="center">1-18</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">QPD</td>
</tr>
<tr>
<td valign="middle" align="center">CTL-S4</td>
<td valign="middle" align="center">223</td>
<td valign="middle" align="center">25.60</td>
<td valign="middle" align="center">6.08</td>
<td valign="middle" align="center">1-19</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">QPD</td>
</tr>
<tr>
<td valign="middle" align="center">CTL-S5</td>
<td valign="middle" align="center">385</td>
<td valign="middle" align="center">45.38</td>
<td valign="middle" align="center">10.36</td>
<td valign="middle" align="center">1-28</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">VPE</td>
</tr>
<tr>
<td valign="middle" align="center">CTL-S6</td>
<td valign="middle" align="center">248</td>
<td valign="middle" align="center">27.84</td>
<td valign="middle" align="center">5.44</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">APQ</td>
</tr>
<tr>
<td valign="middle" align="center">IML-1</td>
<td valign="middle" align="center">319</td>
<td valign="middle" align="center">35.84</td>
<td valign="middle" align="center">5.65</td>
<td valign="middle" align="center">1-15</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">DPN/EPN</td>
</tr>
<tr>
<td valign="middle" align="center">IML-2</td>
<td valign="middle" align="center">288</td>
<td valign="middle" align="center">32.39</td>
<td valign="middle" align="center">6.07</td>
<td valign="middle" align="center">1-21</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">EPD/EPN</td>
</tr>
<tr>
<td valign="middle" align="center">IML-3</td>
<td valign="middle" align="center">299</td>
<td valign="middle" align="center">34.54</td>
<td valign="middle" align="center">4.95</td>
<td valign="middle" align="center">1-17</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">SPN/QND</td>
</tr>
<tr>
<td valign="middle" align="center">IML-4</td>
<td valign="middle" align="center">320</td>
<td valign="middle" align="center">35.32</td>
<td valign="middle" align="center">5.84</td>
<td valign="middle" align="center">1-24</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">EPD/QPD</td>
</tr>
<tr>
<td valign="middle" align="center">IML-5</td>
<td valign="middle" align="center">320</td>
<td valign="middle" align="center">35.75</td>
<td valign="middle" align="center">5.65</td>
<td valign="middle" align="center">1-20</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">EPD/QPD</td>
</tr>
<tr>
<td valign="middle" align="center">IML-6</td>
<td valign="middle" align="center">322</td>
<td valign="middle" align="center">37.05</td>
<td valign="middle" align="center">4.92</td>
<td valign="middle" align="center">1-20</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">EPN/QPD</td>
</tr>
<tr>
<td valign="middle" align="center">IML-7</td>
<td valign="middle" align="center">384</td>
<td valign="middle" align="center">34.59</td>
<td valign="middle" align="center">5.85</td>
<td valign="middle" align="center">1-20</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">EPD/QPD</td>
</tr>
<tr>
<td valign="middle" align="center">IML-8</td>
<td valign="middle" align="center">327</td>
<td valign="middle" align="center">36.98</td>
<td valign="middle" align="center">5.70</td>
<td valign="middle" align="center">1-21</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">EPD/EPN</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The cluster heatmap showed that CTL-S1 and IML-4 were identified in both the transcriptome and proteome data. Notably, the expression of IML-4 (named <italic>CpIML4</italic>) was increased after <italic>B</italic>. <italic>bassiana</italic> infection compared to the control group. The expression of <italic>CpIML4</italic> exhibited significant up-regulation, especially in the proteome (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). Subsequent trials were conducted to investigate this phenomenon.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Sequence analysis of <italic>CpIML4</italic></title>
<p>The <italic>C</italic>. <italic>punctiferalis</italic> larval transcriptome data showed the full-length cDNA sequence of <italic>CpIML4</italic> was 987 bp. The ORF of <italic>CpIML4</italic> was 963 bp and a protein of 320 amino acids was encoded with a theoretical MW of 35.32 kDa and pI of 5.84. An N-terminal signal peptide (amino acid residues 1 to 24) and two conserved CRDs, CRD1 (amino acid residues 37 to 159) and CRD2 (amino acid residues 169 to 309), were predicted in CpIML4 (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;7</bold></xref>). Ten conserved cysteine (Cys) residues within the amino acid sequence (Cys<sub>58</sub>, Cys<sub>136</sub>, Cys<sub>150</sub> and Cys<sub>158</sub> in CRD1, and Cys<sub>169</sub>, Cys<sub>183</sub>, Cys<sub>200</sub>, Cys<sub>285</sub>, Cys<sub>299</sub>, and Cys<sub>308</sub> in CRD2) generated at least four disulfide bonds (Cys<sub>58</sub>-Cys<sub>158</sub>, Cys<sub>136</sub>-Cys<sub>150</sub>, Cys<sub>169</sub>-Cys<sub>200</sub>, and Cys<sub>285</sub>-Cys<sub>299</sub>) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>). CpIML4 contained two motifs: EPD (Glu<sub>127</sub>-Pro<sub>128</sub>-Asp<sub>129</sub>) in CRD1 and QPD (Gln<sub>272</sub>-Pro<sub>273</sub>-Asp<sub>274</sub>) in CRD2 (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;7</bold></xref>). The glycosylation site analysis showed that CpIML4 contained two N-glycosylation sites (Asn<sub>107</sub> and Asn<sub>166</sub>) and three O-glycosylation sites (Ser<sub>269</sub>, Ser<sub>270</sub>, and Thr<sub>276</sub>) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;7</bold></xref>). Moreover, predictions made through TMHMM analysis suggested that CpIML4 may constitute an extracellular protein because of the lack of typical transmembrane domains (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;8</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Sequence features and phylogenetic analysis of CpIML4. <bold>(A)</bold> The domain architecture of CpIML4. Eight highly conserved Cys residues generated four disulfide bonds (C1-C4, C2-C3, C5-C6 and C7-C8). Two N-glycosylation sites (red arrows) and three O-glycosylation sites (blue arrows) by glycosylation site analysis. SP, signal peptide; CRD1 and CRD2, carbohydrate recognition domain; EPD, Glu<sub>127</sub>-Pro<sub>128</sub>-Asp<sub>129</sub>; QPD, Gln<sub>272</sub>-Pro<sub>273</sub>-Asp<sub>274</sub>. <bold>(B)</bold> Three-dimensional structure model of CpIML4. RAF, raffinose; MLB, melibiose. <bold>(C)</bold> Phylogenetic analysis of CpIML4 and other insect CTLs. MrLec was used as out-group to root the phylogeny. Ms, <italic>Manduca sexta</italic>; Of, <italic>Ostrinia furnacalis</italic>; Cp, <italic>Conogethes punctiferalis</italic>; Gm, <italic>Galleria mellonella</italic>; Ha, <italic>Helicoverpa armigera</italic>; Bm, <italic>Bombyx mori</italic>; Dp, <italic>Dendroctonus ponderosae</italic>; So, <italic>Sitophilus oryzae</italic>; Rf, <italic>Rhynchophorus ferrugineus</italic>; Rp, <italic>Rhopalosiphum padi</italic>; Bt, <italic>Bemisia tabaci</italic>; Rm, <italic>Rhopalosiphum maidis</italic>; Aa, <italic>Aedes aegypti</italic>; Ag, <italic>Anopheles gambiae</italic>; Dm, <italic>Drosophila melanogaster</italic>; Mr, <italic>Macrobrachium rosenbergii</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1774776-g005.tif">
<alt-text content-type="machine-generated">Panel A displays a linear schematic of a protein with labeled segments, signal peptide, two carbohydrate-recognition domains, conserved motifs EPD and QPD, and key positions marked. Panel B is a ribbon diagram of the protein&#x2019;s three-dimensional structure with highlighted helices, sheets, EPD, QPD motifs, carbohydrate ligands, and a calcium ion. Panel C is a phylogenetic tree, grouped by insect orders, showing evolutionary relationships, with sequence labels and bootstrap values.</alt-text>
</graphic></fig>
<p>The 3D structure of CpIML4 contained four <italic>&#x3b1;</italic>-helices and five <italic>&#x3b2;</italic>-stands. CRD1 included one patchy <italic>&#x3b1;</italic>-helix, one <italic>&#x3b1;</italic>-helix, and two <italic>&#x3b2;</italic>-stands, whereas CRD2 included two <italic>&#x3b1;</italic>-helices and two <italic>&#x3b2;</italic>-stands. The Ca<sup>2+</sup>/sugar binding sites of the 3D structural model were predicted using COACH based on the I-TASSER server. There was a potential melibiose (MLB) site in CRD1, a potential Ca<sup>2+</sup> site and a raffinose (RAF) site in CRD2. The MLB site contained amino acid residues (Glu<sub>127</sub> and Asp<sub>129</sub>) in the EPD motif, and the galactose-type RAF site contained amino acid residues (Gln<sub>272</sub> and Asp<sub>274</sub>) in the QPD motif (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>).</p>
<p>The amino acid sequence alignment demonstrated extensive coverage (&#x2265; 89%) and high similarity between CpIML4 and the CTLs sequences of other insects. CpIML4 had the closest identity with OfIML4 (50.51%, AIR96000.1), followed by BmIML (42.61%, XP_004922068.1), HaCTL6 (40.68%, AFI47451.1), GmIML (40.34%, XP_052759365.1), SlIML (37.70%, XP_022827254.1), and MsIML (30.89%, XP_030038662.1). In CRD1, all insects contained an EPD motif, except for MsIML, which contained a typical EPN motif. In CRD2, CpIML4, OfIML4, and GmIML all contained a typical QPD motif, whereas BmIML, HaCTL6, and SlIML all contained a typical EPN motif. Ten conserved Cys residues were identified in CpIML4, and the disulfide bridges formed by these residues may affect the stability of the protein structure (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;9</bold></xref>).</p>
<p>A phylogenetic tree was constructed employing amino acid sequences from a total of 15 insect species. The CTL sequence of <italic>M. rosenbergii</italic> was used as an outgroup. CpIML4 was clustered in a subgroup of lepidopteran CTLs and shared a branch with OfIML4. The results indicated that CpIML4 and OfIML4 were the most homologous and performed similar functions (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5C</bold></xref>).</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Temporal and spatial expression of <italic>CpIML4</italic></title>
<p>The expression of <italic>CpIML4</italic> was detected throughout all the developmental stages (egg, larva, pupa, and adult), showing the lowest expression level in eggs and the highest expression level in 5<sup>th</sup>-instar larvae, followed by the other developmental stages. The relative expression level of <italic>CpIML4</italic> in 5<sup>th</sup>-instar larvae was 13.48 times higher than that in eggs (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>). Moreover, the expression levels of <italic>CpIML4</italic> exhibited variation in different larval tissues (head, midgut, fat body, hemolymph, and cuticle), with the highest expression level in the hemolymph, followed by the fat body, and lower expression levels in the midgut and head. The relative expression levels of <italic>CpIML4</italic> in the hemolymph and fat body were 11.85 and 6.66 times higher than those in the midgut and 10.66 and 5.99 times higher than those in the head, respectively (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Expression profiles of CpIML4. <bold>(A)</bold> Relative expression levels of <italic>CpIML4</italic> at different developmental stages. <bold>(B)</bold> Relative expression levels of <italic>CpIML4</italic> in different tissues of 3-day-old 5<sup>th</sup>-instar larvae. The relative expression level is represented as mean &#xb1; SE. Different letters indicate significant differences by one-way ANOVA (<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1774776-g006.tif">
<alt-text content-type="machine-generated">Bar graph figure with two panels comparing relative expression levels. Panel A shows stages (Egg through Adult) with highest expression at fifth-instar larva and lower in eggs. Panel B shows tissues (Head through Cuticle) with hemolymph having the highest expression and midgut the lowest. Error bars indicate variability, and different letters above bars denote statistically significant differences.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Effect of <italic>CpIML4</italic> RNAi on defense against fungal infection</title>
<p>Larvae were injected with ds<italic>IML4</italic> or ds<italic>GFP</italic> (control) and collected at different times to assess <italic>CpIML4</italic> RNAi efficiency. Compared with the control group, the expression levels of <italic>CpIML4</italic> were significantly reduced to 22.71%, 68.14%, and 68.43% at 12, 24, and 36 hpi, respectively (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7A</bold></xref>). The expression level of <italic>CpIML4</italic> was highly significant (<italic>p</italic> &lt; 0.001) compared to the control group at 24 hpi, indicating that <italic>CpIML4</italic> RNAi was reliable for further study.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>RNAi efficiency of <italic>CpIML4</italic> and effect of <italic>CpIML4</italic> RNAi on the survival and phenotype of <italic>C</italic>. <italic>punctiferalis</italic> larvae. <bold>(A)</bold> RNAi efficiency of <italic>CpIML4</italic>. <bold>(B)</bold> Survival rates of <italic>C</italic>. <italic>punctiferalis</italic> larvae infected with <italic>B</italic>. <italic>bassiana</italic> after <italic>CpIML4</italic> RNAi. <bold>(C)</bold> Pathological phenotypic changes of <italic>C</italic>. <italic>punctiferalis</italic> larvae infected with <italic>B</italic>. <italic>bassiana</italic> after <italic>CpIML4</italic> RNAi. Data are represented as mean &#xb1; SE. *, <italic>p</italic> &lt; 0.05; **, <italic>p</italic> &lt; 0.01; ***, <italic>p</italic> &lt; 0.001. Scale bar, 5 mm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1774776-g007.tif">
<alt-text content-type="machine-generated">Panel A displays a bar graph comparing relative expression levels of dsGFP and dsIML4 at 12, 24, and 36 hours post-injection with significant differences indicated; panel B shows a survival curve indicating reduced survival in dsIML4+Bb group; panel C presents photographic images of larvae in four treatment groups (dsGFP+PBS, dsIML4+PBS, dsGFP+Bb, dsIML4+Bb), demonstrating visual differences in larval appearance and condition across treatments.</alt-text>
</graphic></fig>
<p>To explore the effect of <italic>CpIML4</italic> RNAi on larval susceptibility to fungal infection, the survival rates of <italic>C</italic>. <italic>punctiferalis</italic> larvae were recorded every 12 h. The results indicated that the survival rate of (ds<italic>GFP</italic>+PBS)-treated larvae was 93.33% at 144 h, and larvae underwent no significant changes and survived normally (<xref ref-type="fig" rid="f7"><bold>Figures&#xa0;7B, C</bold></xref>). The survival rate of (ds<italic>IML4</italic>+PBS)-treated larvae was 66.67% at 144 h, which differed significantly (<italic>p</italic> &lt; 0.05) from the control group (ds<italic>IML4</italic>+PBS) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7B</bold></xref>). The cuticle of (ds<italic>IML4</italic>+PBS)-treated larvae showed black spots and developmental malformation, and the dead larvae turned black and wrinkled (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7C</bold></xref>). The survival rate of (ds<italic>GFP</italic>+Bb)-treated larvae was 3.33% at 120 h, and the time of death ranged between 72 to 96 hpi (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7B</bold></xref>). The cuticle of (ds<italic>GFP</italic>+Bb)-treated larvae appeared as black spots, and the dead larvae became dark red, mummified, and overgrown with hypha and conidia of <italic>B</italic>. <italic>bassiana</italic> (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7C</bold></xref>). All (ds<italic>IML4</italic>+Bb)-treated larvae died at 72 h, and the time of death was concentrated between 12 to 36 hpi. The survival rates differed significantly (<italic>p</italic> &lt; 0.01) from that of the control group (ds<italic>GFP</italic>+Bb) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7B</bold></xref>). The cuticle of the larval body exhibited a mass of black spots that later spread throughout the body, and the dead larvae turned black, dried, and wrinkled (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7C</bold></xref>). The results showed that <italic>C</italic>. <italic>punctiferalis</italic> larvae with a low expression of <italic>CpIML4</italic> were easily killed after <italic>B</italic>. <italic>bassiana</italic> infection and indicated that <italic>CpIML4</italic> critically influenced anti-fungal immunity.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The severe damage caused by <italic>C</italic>. <italic>punctiferalis</italic> to maize has gradually attracted the interest of researchers in recent years in China. The findings of our long-term field investigation demonstrated that <italic>C</italic>. <italic>punctiferalis</italic> larvae exhibited powerful survival ability, even when exposed to severely destroyed and moldy maize (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;10</bold></xref>). This phenomenon is highly likely attributed to the insect&#x2019;s well-developed innate immune systems, comprised of cellular and humoral immunity, to adapt to diverse environments (<xref ref-type="bibr" rid="B2">2</xref>). Cellular immune responses of <italic>C</italic>. <italic>punctiferalis</italic> against fungal infection have been proved in our previous results (<xref ref-type="bibr" rid="B38">38</xref>). This study further explores the immune mechanisms of <italic>C</italic>. <italic>punctiferalis</italic> in response to <italic>B</italic>. <italic>bassiana</italic> infection through the integrative transcriptomic and proteomic analyses.</p>
<p>Currently, multi-omics studies focus more on the integrative transcriptomic and proteomic analyses to reveal the relationship between mRNA levels and protein accumulation (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B43">43</xref>). However, the correlation between the transcriptome and proteome is not entirely consistent, a phenomenon has also been reported in other studies (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). In this study, a total of 3,377 genes were found in both transcriptome and proteome data. A total of 114 DEGs and 197 DEPs were screened, in which only 3 DEGs (DEPs) were screened together. The number of DEGs (DEPs) was less than other lepidopteran insects, such as <italic>H</italic>. <italic>armigera</italic> and <italic>Plutella xylostella</italic> (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). We speculated that the immune response of <italic>C</italic>. <italic>punctiferalis</italic> larvae was in the initial stage at 12 hpi, with the activation of some genes or proteins but no significant changes in expression levels. Moreover, two important immune signaling pathways, Toll and Imd signaling pathways, were identified through KEGG pathway enrichment analysis in the present study. The Toll and Imd signaling pathways are broadly conserved in insects apart from some hemipteran insects, such as <italic>Acyrthosiphon pisum</italic> and <italic>B</italic>. <italic>tabaci</italic>, which lack an intact Imd pathway (<xref ref-type="bibr" rid="B48">48</xref>). These two signaling pathways are important components of the innate immune system that can exist independently but cooperate with each other (<xref ref-type="bibr" rid="B49">49</xref>). The Toll signaling pathway regulates the expression of genes that encode antifungal and antibacterial peptides, whereas the Imd signaling pathway is activated by Gram-negative bacteria and regulates the expression of additional AMP genes (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Remarkably, the wounds caused by a microinjector and the integument injuries caused by a fungus can serve as entry points for bacterial infection, particularly Gram-negative bacteria (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>CTLs, a family of Ca<sup>2+</sup>-dependent carbohydrate-binding proteins, can be divided into three categories according to the CRD structure and phylogenetic relationships (CTL-S, IML, and CTL-X), and are distributed widely in insects (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B14">14</xref>). For instance, <italic>B</italic>. <italic>mori</italic> has 11 CTL-Ss, seven IMLs, and five CTL-Xs (<xref ref-type="bibr" rid="B13">13</xref>); <italic>M</italic>. <italic>sexta</italic> includes 11 CTL-Ss, 17 IMLs, and five CTL-Xs (<xref ref-type="bibr" rid="B12">12</xref>); and <italic>H</italic>. <italic>armigera</italic> contains 11 CTL-Ss, 23 IMLs, and five CTL-Xs (<xref ref-type="bibr" rid="B11">11</xref>). In this study, 14 CTLs were identified in <italic>C</italic>. <italic>punctiferalis</italic> (including six CTL-Ss and eight IMLs) on the basis of transcriptome and proteome data; therefore, compared to these above-listed insects, fewer CTLs were identified in <italic>C</italic>. <italic>punctiferalis</italic>. The possible reason for this is that the number of CTLs may be species-specific and determined by factors such as the survival environment, selective pressure, and interaction with pathogenic microorganisms (<xref ref-type="bibr" rid="B14">14</xref>). However, it is highly possible that other unidentified transcripts may encode <italic>C</italic>. <italic>punctiferalis</italic> CTLs, and this deserves further detailed study. Interestingly, the quantitative distributions of CTLs in <italic>C</italic>. <italic>punctiferalis</italic> are highly similar to those of <italic>O</italic>. <italic>furnacalis</italic> CTLs (5 CTL-Ss and 9 IMLs) (<xref ref-type="bibr" rid="B10">10</xref>), and CTL-X is found in these two species. Nonetheless, <italic>C</italic>. <italic>punctiferalis</italic> is likely to possess CTL-X families, but additional sequence resources are required for further analysis and identification.</p>
<p>IMLs have mainly been found in lepidopteran insects, with small amounts also identified in coleopteran insects and crustaceans (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B54">54</xref>). However, it is unclear whether they have a common ancestor or have arisen independently (<xref ref-type="bibr" rid="B12">12</xref>). In general, IMLs with two tandem CRDs show a broader spectrum of microorganisms and have a more extensive and stronger binding affinity to sugar ligands on the cuticle of pathogens than CTLs with a single CRD (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The binding specificity of CRDs depends on their canonical tripeptide motifs; for example, EPN and QPD are capable of binding to mannose- and galactose-type ligands, respectively (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Mutated motifs have been found in other insect IMLs, such as MsIML1 with QPR and EPN motifs in <italic>M. sexta</italic> (<xref ref-type="bibr" rid="B12">12</xref>), BmIML3 with EPD and EPS motifs in <italic>B</italic>. <italic>mori</italic> (<xref ref-type="bibr" rid="B13">13</xref>), and SeIML5 with EPN and QPN motifs in <italic>Spodoptera exigua</italic> (<xref ref-type="bibr" rid="B55">55</xref>). In this study, CpIML4 was found to possess two CRDs, of which CRD1 contained an EPD motif and CRD2 contained a canonical QPD motif. This finding is consistent with previous results obtained for OfIML4 in <italic>O</italic>. <italic>furnacalis</italic> (<xref ref-type="bibr" rid="B56">56</xref>). Based on its 3D structure, CpIML4 has a potential RAF site in CRD2 that can bind to galactose. In contrast, the EPD motif in CRD1 is a mutation in which Asn in the EPN motif is replaced with Asp, which can influence the binding affinity. Similar motifs have also been detected in OfIML4 of <italic>O. furnacalis</italic>; CRD2 with QPD may possess a galactose binding affinity, and CRD1 with EPD might lack mannose binding specificity (<xref ref-type="bibr" rid="B56">56</xref>). In <italic>H</italic>. <italic>armigera</italic> CTL, CRD1 with an EPD motif can instead bind to mannose and galactose, whereas CRD2 with an EPN motif possesses a broader carbohydrate binding spectrum than CRD1 (<xref ref-type="bibr" rid="B57">57</xref>). However, considering that only one amino acid residue is replaced, CpIML4 may nonetheless possess a potential binding specificity for mannose, galactose, or both to exert functions that recognize invading microbial pathogens. Present studies indicate that an amino acid sequence analysis alone does not accurately predict the binding specificity of CRDs (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Therefore, the detailed mechanisms underlying CpIML4 binding require further investigation.</p>
<p>An effective strategy using RNAi has recently been developed for insect pest management; this involves inhibiting the insect immune system, and the immune-related genes serve as potential RNAi targets for insect pest control (<xref ref-type="bibr" rid="B58">58</xref>). Insect CTLs are important PRRs that play critical roles in innate immunity (<xref ref-type="bibr" rid="B14">14</xref>). Some studies have shown that the knockdown of CTLs using RNAi can significantly increase the susceptibility of insects to pathogen infection. For example, knockdown of <italic>MsIML2</italic> markedly decreases the ability of <italic>M. sexta</italic> to withstand infection by <italic>Photorhabdus</italic> and reduces the hemolymph phenoloxidase activity of the insect (<xref ref-type="bibr" rid="B59">59</xref>). In addition, silencing <italic>HaCTL11</italic> or <italic>HaCTL14</italic> increases the rate of killing and reduced larval resistance to entomopathogenic fungi in <italic>H</italic>. <italic>armigera</italic> (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>), and the presence of <italic>OfIML4</italic> weakens the pathogenicity of <italic>B. bassiana</italic> in <italic>O</italic>. <italic>furnacalis</italic> (<xref ref-type="bibr" rid="B56">56</xref>). In this study, the knockdown of <italic>CpIML4</italic> led to larval death, and a significant mortality rate was seen compared to the control group. This suggests that <italic>CpIML4</italic> disrupts the normal growth and development of <italic>C</italic>. <italic>punctiferalis</italic> larvae and could serve as a potential target gene for RNAi-based control. Furthermore, combining RNAi with entomopathogenic fungi provides a promising strategy for insect pest management (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>). For instance, the silencing of <italic>NlToll1</italic> combined with fungal infection exhibits synergistic and highly effective insecticidal activity against <italic>Nilaparvata lugens</italic> (<xref ref-type="bibr" rid="B30">30</xref>). Compared to the control group (ds<italic>IML4</italic>+PBS), the survival rate of (ds<italic>IML4</italic>+Bb)-treated <italic>C</italic>. <italic>punctiferalis</italic> larvae was significantly decrease in the present study. We speculated that the knockdown of <italic>CpIML4</italic> of <italic>C</italic>. <italic>punctiferalis</italic> would lead to an obvious increase in susceptibility to <italic>B</italic>. <italic>bassiana</italic> infection and expedite the death of larvae. Notably, all larvae treated with (ds<italic>IML4</italic>+Bb) died, but no growth of <italic>B</italic>. <italic>bassiana</italic> was observed on the cadavers. Generally, <italic>B</italic>. <italic>bassiana</italic> requires a longer reaction time to kill the host insects and obtain sufficient nutrients to penetrate the cuticle and produce hyphae and conidia in this period. The larvae treated with (ds<italic>IML4</italic>+Bb) exhibited premature mortality and suffered excessive nutrient loss, which was insufficient for the optimal growth of <italic>B</italic>. <italic>bassiana</italic>. In other words, <italic>B</italic>. <italic>bassiana</italic> present in the larvae lacked the adequate time and nutrients to penetrate the insect cuticle. Given this, further studies could focus on combining RNAi with entomopathogenic fungi to explore potential synergistic or additive effects, thereby enhancing the efficacy of insect pest control.</p>
<p>In summary, integrative transcriptomic and proteomic analyses of <italic>C</italic>. <italic>punctiferalis</italic> in response to <italic>B. bassiana</italic> infection were performed using RNA-Seq and iTRAQ techniques. Based on the transcriptome and proteome data, the immune-related genes and proteins were screened, and a total of 14 CTLs were identified and characterized. Furthermore, <italic>CpIML4</italic> from <italic>C</italic>. <italic>punctiferalis</italic> was involved in the antifungal immune response. These findings provide a valuable resource for investigating the immune functions of CTLs from <italic>C</italic>. <italic>punctiferalis</italic>, and could contribute to the development of RNAi-based strategies for insect pest control.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="https://www.ncbi.nlm.nih.gov/">https://www.ncbi.nlm.nih.gov/</uri>, PRJNA1308180 <uri xlink:href="http://www.proteomexchange.org/">http://www.proteomexchange.org/</uri>, PXD067498.</p></sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>SL: Data curation, Formal Analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ZK: Data curation, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; review &amp; editing. XL: Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing. HW: Resources, Supervision, Writing &#x2013; review &amp; editing. XY: Conceptualization, Supervision, Writing &#x2013; review &amp; editing. FL: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing. FZ: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s10" 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>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1774776/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1774776/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1367933">Amr Mohamed</ext-link>, Cairo University, Egypt</p></fn>
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<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/462401">Zhanghong Shi</ext-link>, Fujian Agriculture and Forestry University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/906516">Fabio Gomes</ext-link>, Federal University of Rio de Janeiro, Brazil</p></fn>
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