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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1082522</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2022.1082522</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comprehensive investigation and regulatory function of lncRNAs engaged in western honey bee larval immune response to <italic>Ascosphaera apis</italic> invasion</article-title>
<alt-title alt-title-type="left-running-head">Ye et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphys.2022.1082522">10.3389/fphys.2022.1082522</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ye</surname>
<given-names>Yaping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Xiaoxue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1642329/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Long</surname>
<given-names>Qi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1718296/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wende</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1968449/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cai</surname>
<given-names>Zongbing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Minghui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gu</surname>
<given-names>Xiaoyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zou</surname>
<given-names>Peiyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Dafu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guo</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="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1059455/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>College of Animal Sciences (College of Bee Science)</institution>, <institution>Fujian Agriculture and Forestry University</institution>, <addr-line>Fuzhou</addr-line>, <addr-line>Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Apitherapy Research Institute</institution>, <institution>Fujian Agriculture and Forestry University</institution>, <addr-line>Fuzhou</addr-line>, <addr-line>Fujian</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/40996/overview">Neal Silverman</ext-link>, Worcester Foundation for Biomedical Research, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/687776/overview">Aili Wang</ext-link>, Shandong Agricultural University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1283804/overview">Kui Kang</ext-link>, Zunyi Normal University College, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Rui Guo, <email>ruiguo@fafu.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Invertebrate Physiology, a section of the journal Frontiers in Physiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1082522</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Ye, Fan, Long, Wang, Zhang, Cai, Sun, Gu, Zou, Chen and Guo.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Ye, Fan, Long, Wang, Zhang, Cai, Sun, Gu, Zou, Chen and Guo</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>Ascosphaera apis</italic> is a fungal pathogen that exclusively infects bee larvae, causing chalkbrood disease, which results in severe damage for beekeeping industry. Long non-coding RNAs (lncRNAs) are versatile regulators in various biological processes such as immune defense and host-pathogen interaction. However, expression pattern and regulatory role of lncRNAs involved in immune response of bee host to <italic>A. apis</italic> invasion is still very limited. Here, the gut tissues of <italic>Apis mellifera ligustica</italic> 4-, 5-, and 6-day-old larvae inoculated by <italic>A. apis</italic> spores (AmT1, AmT2, and AmT3 groups) and corresponding un-inoculated larval guts (AmCK1, AmCK2, and AmCK3 groups) were prepared and subjected to deep sequencing, followed by identification of lncRNAs, analysis of differentially expressed lncRNAs (DElncRNAs), and investigation of competing endogenous RNA (ceRNA) network. In total, 3,746 <italic>A. m. ligustica</italic> lncRNAs were identified, including 78 sense lncRNAs, 891 antisense lncRNAs, 1,893 intergenic lncRNAs, 346 bidirectional lncRNAs, and 210 intronic lncRNAs. In the 4-, 5-, and 6- comparison groups, 357, 236, and 505 DElncRNAs were discovered. Additionally, 217, 129, and 272 DElncRNAs were respectively predicted to regulate neighboring genes <italic>via cis</italic>-acting manner, and these targets were associated with a series of GO terms and KEGG pathways of great importance, such as response to stimulus and Jak-STAT signaling pathway. Moreover, 197, 95, and 356 DElncRNAs were observed to target 10, eight, and 21 DEmiRNAs and further target 147, 79, and 315 DEmRNAs, forming complex regulatory networks. Further investigation suggested that these targets were engaged in several key cellular and humoral immune pathways, such as phagosome and MAPK signaling pathway. Ultimately, the expression trends of nine randomly selected DElncRNAs were verified by RT-qPCR, confirming the authenticity and reliability of our transcriptome data. Findings in this current work not only provide candidate DElncRNAs for functional study, but also lay a foundation for unclosing the mechanism underlying DElncRNA-regulated larval immune responses to <italic>A. apis</italic> invasion.</p>
</abstract>
<kwd-group>
<kwd>honey bee</kwd>
<kwd>
<italic>Apis mellifera</italic> <italic>ligustica</italic>
</kwd>
<kwd>chalkbrood</kwd>
<kwd>
<italic>Ascosphaera apis</italic>
</kwd>
<kwd>ncRNA</kwd>
<kwd>lncRNA</kwd>
<kwd>ceRNA</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Earmarked Fund for China Agriculture Research System<named-content content-type="fundref-id">10.13039/501100010038</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Natural Science Foundation of Fujian Province<named-content content-type="fundref-id">10.13039/501100003392</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Western honey bees (<italic>Apis mellifera</italic>) are widely reared in apiaries worldwide and produce a variety of honey bee products, such as honey, royal jelly, and propolis. <italic>A. mellifera</italic> pollinate a substantial quantity of crops and wild flowers, playing a critical role in ecological balance and food security (<xref ref-type="bibr" rid="B47">Potts et al., 2010</xref>). <italic>Ascosphaera apis</italic> is a widespread fungal pathogen which can not only infect bee larvae to causes chalkbrood disease, but also lead to a sharp reduction in colony population and productivity (<xref ref-type="bibr" rid="B3">Aronstein and Murray, 2010</xref>)<italic>.</italic> In the last 2&#xa0;decades, researchers have conducted an array of studies on the interaction between honey bee larvae and <italic>A. apis</italic> at the morphological, ethological, or biochemical level (<xref ref-type="bibr" rid="B17">Garrido-Bail&#xf3;n et al., 2013</xref>; <xref ref-type="bibr" rid="B6">Chaimanee et al., 2017</xref>; <xref ref-type="bibr" rid="B20">Guo et al., 2019b</xref>). Our group previously systematically investigated the response of <italic>Apis mellifera ligustica</italic> larval and the infection of <italic>A. apis</italic> during chalkbrood (<xref ref-type="bibr" rid="B10">Chen D. et al., 2017</xref>). For example, <xref ref-type="bibr" rid="B10">Chen D. et al. (2017)</xref> revealed the cellular and humoral immune responses of western honey bee larvae to <italic>A. apis</italic> invasion based on deep sequencing combined with bioinformatics; <xref ref-type="bibr" rid="B9">Chen D. F. et al. (2017)</xref> deciphered the transcriptomic dynamics of <italic>A. apis</italic> during the infection process in <italic>A. m. ligustica</italic> larvae<italic>.</italic>
</p>
<p>Long non-coding RNAs (lncRNAs) are a class of ncRNA with a length of more than 200&#xa0;nt containing two or more exons (<xref ref-type="bibr" rid="B64">Zhang et al., 2019</xref>). Similar to mRNA structures, most lncRNAs are transcribed by RNA polymerase II and hence contain the 5&#x2032; cap and the 3&#x2032; polyA tail (<xref ref-type="bibr" rid="B36">Li J. H. et al., 2012</xref>). According to the location with respect to protein-coding genes, lncRNA can be classified into sense lncRNA, antisense lncRNA, intergenic lncRNA, intron lncRNA, and other lncRNA (<xref ref-type="bibr" rid="B27">Jarroux et al., 2017</xref>). LncRNA can be capable of exerting functions in versatile manners, namely, <italic>cis</italic>-acting regulation, <italic>trans</italic>-acting modulation, miRNA precursor, competing endogenous RNA (ceRNA) network, and translation into protein (<xref ref-type="bibr" rid="B18">Gil and Ulitsky, 2020</xref>). Evidences suggest that as pivotal regulator, lncRNA palys an important role in a large number of biological processes, including dose compensation (<xref ref-type="bibr" rid="B4">Carmona et al., 2018</xref>), cell cycle (<xref ref-type="bibr" rid="B41">Ma et al., 2021</xref>), and host-pathogen interaction (<xref ref-type="bibr" rid="B5">Carnero et al., 2016</xref>).</p>
<p>With the rapid development of high-throughput sequencing, abundant of lncRNAs have been identified in animals, plants, and microorganisms (<xref ref-type="bibr" rid="B21">Guo et al., 2018</xref>; <xref ref-type="bibr" rid="B66">Zhou R. et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Fan et al., 2021</xref>). In insects, lncRNA-associated studies have mainly focused on model insects such as fruit flies (<italic>Drosophila</italic>) and silkworms (<italic>Bombyx mori</italic>); however, knowledge of lncRNA-associated in other insects, including honey bees, is still limited at present. <xref ref-type="bibr" rid="B65">Zhou H. et al. (2021)</xref> discovered that <italic>lncRNA-CR11538</italic> in <italic>Drosophila</italic> restored Toll immunity homeostasis <italic>via</italic> interaction with the transcription factor Dif/Dorsal, further participating in host innate immunity. Previous works demonstrated that lncRNAs in honey bees were potentially involved in behavior (<xref ref-type="bibr" rid="B14">Feng R. R. et al., 2022</xref>), caste development (<xref ref-type="bibr" rid="B26">Humann et al., 2013</xref>), and host-pathogen/parasite interaction (<xref ref-type="bibr" rid="B7">Chen et al., 2019a</xref>). Our previous studies deciphered the responses of both <italic>A. m. ligustica</italic> and <italic>Apis cerana</italic> larvae to <italic>A. apis</italic> invasion at the mRNA and miRNA levels (<xref ref-type="bibr" rid="B10">Chen D. et al., 2017</xref>; <xref ref-type="bibr" rid="B23">Guo et al., 2019a</xref>). Accumulating evidences have demonstrated that molecules containing miRNA response elements (MREs) such as mRNA, lncRNA, circRNA, can competitively bind miRNA and further regulating the expression of neighboring genes and biological processes (<xref ref-type="bibr" rid="B1">Ala, 2020</xref>). However, until now, there was no reported study on the expression profile and regulatory role of lncRNAs during the <italic>A. m. ligustica</italic> larval response to <italic>A. apis</italic> invasion.</p>
<p>In the current work, 4-, 5-, and 6-day-old <italic>A. m. ligustica</italic> larval guts inoculated with <italic>A. apis</italic> spores and un-inoculated larval guts were subjected to strand-specific cDNA library construction and deep sequencing, followed by identification of lncRNAs and investigation of the expression profile. The potential regulatory functions of host DElncRNAs were then analyzed in combination with previously obtained small RNA-seq (sRNA-seq) data. To our knowledge, this is the first report of the lncRNA-regulated response of honey bee larvae to <italic>A. apis</italic> invasion. Our findings will shed light on the mechanism underlying the lncRNA-mediated larval response to <italic>A. apis</italic> infection and offer novel insights into the interaction between <italic>A. m. ligustica</italic> larvae and <italic>A. apis</italic>.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and method</title>
<sec id="s2-1">
<title>Bee and fungus</title>
<p>
<italic>A. m. ligustica</italic> colonies were reared in the teaching apiary of the College of Animal Sciences (College of Bee Science) at Fujian Agriculture and Forestry University. <italic>A. apis</italic> spores were prepared following the method developed by <xref ref-type="bibr" rid="B29">Jensen et al. (2013)</xref> and stored in the Honey Bee Protection Lab, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University.</p>
</sec>
<sec id="s2-2">
<title>Experimental inoculation and sample preparation</title>
<p>In our previous study, <italic>A. m. ligustica</italic> larvae were reared in 48-well culture plates in a constant temperature and humidity incubator (Shanghai Yiheng Scientific Instrument Co., Ltd.) as described by <xref ref-type="bibr" rid="B46">Peng et al. (1992)</xref>. Briefly, the diet was mixed and frozen in smaller aliquots and preheated to 34&#xb0;C before feeding; 2-day-old larvae were removed from the combs with a transferring tool to 10&#xa0;&#x3bc;L diet; 3-day-old larvae (<italic>n</italic> &#x3d; 9) in the treatment group were fed 20&#xa0;&#x3bc;l diet containing <italic>A. apis</italic> spores with a final concentration of 10<sup>7</sup> spores/mL and then fed once a day with 30&#xa0;&#x3bc;l (4-day-old), 40&#xa0;&#x3bc;l (5-day-old), and 50&#xa0;&#x3bc;l (6-day-old) diet; 3-day-old larvae (<italic>n</italic> &#x3d; 9) in the control group were fed once a day with 20&#xa0;&#x3bc;l (3-day-old), 30&#xa0;&#x3bc;l (4-day-old), 40&#xa0;&#x3bc;l (5-day-old), and 50&#xa0;&#x3bc;l (6-day-old) diet without <italic>A. apis</italic> spores; gut tissues of 4-, 5-, and 6-day-old larvae were harvested utilizing our previously developed protocol (<xref ref-type="bibr" rid="B20">Guo et al., 2019b</xref>), and then frozen in liquid nitrogen and kept at &#x2212;80&#xb0;C until deep sequencing and molecular experiments. Gut samples of 4-, 5-, and 6-day-old larvae in the control groups were named the AmCK1 group, AmCK2 group, and AmCK3 group, while those in the treatment groups were named the AmT1 group, AmT2 group, and AmT3 group, respectively. There was one replica in each group, and each group included three gut tissues.</p>
</sec>
<sec id="s2-3">
<title>RNA extraction, cDNA library construction, and deep sequencing</title>
<p>The total RNA of the gut samples in the aforementioned six groups was extracted using the TRIzol method (Promega, United States). Oligo (dTs) was used to isolate poly (A) mRNA, which was subsequently fragmented and reverse transcribed using random primers (QIAGEN, Germany). Next, second-strand cDNA was synthesized with RNase H and DNA polymerase I, and the double-strand cDNA was then purified by the QiaQuick PCR extraction kit (QIAGEN, Germany). After agarose gel electrophoresis, the required fragments were purified using a DNA extraction kit (QIAGEN, Germany) followed by enrichment through PCR amplification (NEB, United States). The reaction conditions were set as follows: 98&#xb0;C for 30&#xa0;s, followed by 13 cycles of 98&#xb0;C for 10&#xa0;s and 65&#xb0;C for 75&#xa0;s, and 65&#xb0;C for 5&#xa0;s. Ultimately, the 6 cDNA libraries were subjected to deep sequencing by Guangzhou Gene <italic>Denovo</italic> Biotechnology Co., Ltd. Using the Illumina HiSeqTM 4000 platform. Raw data generated from strand-specific library-based RNA-seq were deposited in the NCBI Sequence Read Archive (SRA) database and linked to BioProject number PRJNA406998.</p>
</sec>
<sec id="s2-4">
<title>Quality control of raw data</title>
<p>Fastp software (version 0.18.0) (<xref ref-type="bibr" rid="B11">Chen et al., 2018</xref>) was used to perform quality control on the raw data by removing reads that contained adapters, more than 10% N-base or low-quality reads (Q-value&#x2264;20) to obtain high-quality clean reads. The obtained clean reads were mapped to the reference genome of <italic>A. mellifera</italic> (Amel_HAV3.1) using HISAT2 software (<xref ref-type="bibr" rid="B30">Kim et al., 2015</xref>) with default parameters.</p>
</sec>
<sec id="s2-5">
<title>Identification of lncRNAs</title>
<p>The transcripts were assembled using a combination of Cufflinks (<xref ref-type="bibr" rid="B55">Trapnell et al., 2012</xref>) and TopHat2 software (<xref ref-type="bibr" rid="B31">Kim et al., 2013</xref>) and then aligned to the <italic>A. mellifera</italic> reference genome (Amel_HAV3.1) with Cuffcompare software (<xref ref-type="bibr" rid="B43">Meana et al., 2010</xref>) to detect novel transcripts. Transcripts with one of the classcodes &#x201c;u, i, j, x, c, e, o&#x201d; were defined as novel transcripts. Next, lncRNAs were filtered out according to the following criteria: (1) length &#x2265; 200&#xa0;bp and (2) exon number &#x2265; 2. Furthermore, both CPC (<xref ref-type="bibr" rid="B33">Kong et al., 2007</xref>) and CNCI software (<xref ref-type="bibr" rid="B53">Sun et al., 2013</xref>) were used to predict the coding ability of the above lncRNAs, and only those without coding ability were regarded as reliable lncRNAs. The numbers of various types of lncRNAs, including intergenic lncRNAs, sense lncRNAs, and antisense lncRNAs, were calculated.</p>
</sec>
<sec id="s2-6">
<title>Analysis of DElncRNAs</title>
<p>Following the method described by <xref ref-type="bibr" rid="B10">Chen D. et al. (2017)</xref>, the transcript expression level was normalized with the FPKM (fragments per kilobase of transcript per million mapped reads) method, which can eliminate the influence of different transcript lengths and sequencing data amounts on the calculation of transcript expression. EdgeR software (<xref ref-type="bibr" rid="B48">Robinson et al., 2010</xref>) was employed to screen differentially expressed lncRNAs (DElncRNAs) in the AmCK1 vs. AmT1, AmCK2 vs. AmT2, and AmCK3 vs. AmT3 comparison groups following the criteria of <italic>p</italic> &#x2264; 0.05 (corrected by false discovery rate) and &#x7c;log<sub>2</sub>(FC)&#x7c;&#x2265;1. Finally, Venn diagram analysis and expression clustering of DElncRNAs in different comparison groups were conducted using the related tools in the OmicShare platform (<ext-link ext-link-type="uri" xlink:href="http://www.omicshare.com">www.omicshare.com</ext-link>).</p>
</sec>
<sec id="s2-7">
<title>Investigation of the <italic>cis</italic>-acting role of DElncRNAs</title>
<p>Protein-coding genes located 10&#xa0;kb upstream and downstream of DElncRNAs were surveyed and then annotated to GO (<ext-link ext-link-type="uri" xlink:href="http://www.geneontology.org/">http://www.geneontology.org/</ext-link>) and KEGG (<ext-link ext-link-type="uri" xlink:href="https://www.kegg.jp/">https://www.kegg.jp/</ext-link>) databases utilizing the Blast tool. Subsequently, gene numbers were calculated for each GO term or KEGG pathway. Furthermore, significantly enriched GO terms by neighboring genes were defined by hypergeometric testing, while KEGG pathway enrichment analysis was performed by KOBAS 2.0 software (<xref ref-type="bibr" rid="B61">Xie et al., 2011</xref>), with the <italic>A. mellifera</italic> reference genome (Amel_HAV3.1) as the background. Only terms or pathways with corrected <italic>p</italic> values of less than 0.05 were considered enriched.</p>
</sec>
<sec id="s2-8">
<title>Source of small RNA-seq datasets</title>
<p>In our previous study, gut tissues of <italic>A. apis</italic>-inoculated 4-, 5-, and 6-day-old larvae and corresponding uninoculated 4-, 5-, and 6-day-old larval guts were prepared following the aforementioned method, followed by total RNA isolation, cDNA library construction, and sRNA-seq by Guangzhou Gene <italic>Denovo</italic> Biotechnology Co., Ltd. Using the Illumina MiSeq&#x2122; 4000 platform<italic>.</italic> Raw data derived from sRNA-seq are available in the NCBI SRA database under the BioProject number PRJNA406998. Quality control was previously performed, and the results were suggestive of the high quality of sRNA-seq-derived data (<xref ref-type="bibr" rid="B15">Feng W. et al., 2022</xref>).</p>
</sec>
<sec id="s2-9">
<title>Investigation of ceRNA regulatory networks</title>
<p>According to the method described by <xref ref-type="bibr" rid="B7">Chen et al. (2019a)</xref>, target DEmiRNAs of DElncRNAs and target DEmRNAs of DEmiRNAs were predicted by using a combination of three software programs, MiRanda (V3.3a) (<xref ref-type="bibr" rid="B12">Enright et al., 2003</xref>), RNAhybrid (V2.1.2) (<xref ref-type="bibr" rid="B34">Kr&#xfc;ger and Rehmsmeier, 2006</xref>) &#x2b; SVM_light (V6.01) (<xref ref-type="bibr" rid="B35">Kumar et al., 2008</xref>), and TargetFind (<xref ref-type="bibr" rid="B2">Allen et al., 2005</xref>), and the intersection was deemed reliable targets. Based on the prediction results, ceRNA regulatory networks were constructed and visualized by Cytoscape software (<xref ref-type="bibr" rid="B51">Smoot et al., 2011</xref>) with default parameters.</p>
</sec>
<sec id="s2-10">
<title>RT-qPCR validation of DElnRNAs</title>
<p>Nine DElncRNAs were randomly selected for RT-qPCR, including three (MSTRG.1133.1, XR_001704875.2, and MSTRG.11613.1) from the AmCK1 vs. AmT1 comparison group, three (MSTRG.4918.2, MSTRG. 9603.5, and MSTRG.8790.2) from AmCK2 vs. AmT2 comparison group, and three (XR_001705688.2, XR_410074.3, and XR_003304187.1) from AmCK3 vs. AmT3 comparison group. Specific forward and reverse primers for each of the nine selected DElncRNAs were respectively designed using Primer Premier 6 (<xref ref-type="bibr" rid="B50">Singh et al., 1998</xref>), and synthesized by Sangon Biotech (Shanghai) Co., Ltd. Gene <italic>actin</italic> (GeneBank ID: 406122) was used as internal reference. Total RNA from gut samples in each group was respectively isolated using FastPure Cell/Tissue Total RNA Isolation Kit V2 (Vazyme, China), followed by reverse transcription with Random primers. The resulting cDNA was used as the template for qPCR reaction, which was performed on QuanStudio 3 Fluorescence quantitative PCR instrument (ABI, United States) The reaction system (20&#xa0;&#x3bc;l) contained 10&#xa0;&#x3bc;l of SYBR Green Dye, 1&#xa0;&#x3bc;l of upstream and downstream primers (10&#xa0;&#x3bc;mol/L), 1&#xa0;&#x3bc;l of cDNA template, 7&#xa0;&#x3bc;l of DEPC water. The reaction conditions were set as follows: 95&#xb0;C pre-denaturation for 5 min; 95&#xb0;C denaturation for 30&#xa0;s, 60&#xb0;C annealing and extension for 30&#xa0;s, a total of 40 cycles each group of qPCR reaction and set three times experiment for repeating. The relative expression level of each DElncRNA was calculated using 2<sup>&#x2212;&#x394;&#x394;CT</sup> method (<xref ref-type="bibr" rid="B39">Livak and Schmittgen, 2001</xref>). All experiments were run with at least three parallel samples and were repeated three times. Data were shown as mean &#xb1; standard deviation (SD) and subjected to Student&#x2019;s <italic>t</italic>-test by Graph Prism 8 software (San Diego, United States) (<italic>p</italic> &#x3c; 0.05 was considered statistically significant). Detailed information of primers used in this work was presented in the <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Result</title>
<sec id="s3-1">
<title>Quality control of deep sequencing data</title>
<p>Totally, 85,811,046, 81,962,296, 85,636,572, 79,267,686, 82,889,882, and 100,211,796 raw reads were produced from AmCK1, AmCK2, AmCK3, AmT1, AmT2, and AmT3 groups, respectively (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>). After strict quality control, 85,739,414, 81,896,402, 85,573,798, 79,202,304, 82,828,926, and 100,128,692 clean reads were obtained, respectively (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>). In brief, the Q20 and Q30 of clean reads in six groups were above 98.07% and 94.30%, respectively (Supplementary Table S2). In addition, the mapping ratio of clean reads in the reference genome was above 99.92% (Supplementary Table S2). The results showed that the next-generation sequencing data were reliable and could be used for further analysis. Compared with the <italic>A. mellifera</italic> reference genome (Amel_HAV3.1), the comparison rate ranged from 92.06% to 94.81%, and there were 63.10%&#x2013;69.80% clean reads were compared to the exon region, 8.56%&#x2013;9.59% of them compared to the intron region, and 20.98%&#x2013;27.32% compared to the intergene region (<xref ref-type="sec" rid="s12">Supplementary Table S3</xref>).</p>
</sec>
<sec id="s3-2">
<title>Identification and investigation of <italic>A. m. ligustica</italic> lncRNAs</title>
<p>In the aforementioned six groups, 1,991, 2,031, 1,970, 2,101, 1,955, and 1,944 lncRNAs were identified. After removing redundant lncRNAs, a total of 3,746 <italic>A. m. ligustica</italic> lncRNAs were discovered, including 3,146 known lncRNAs and 600 novel lncRNAs. Among these, there were 78 sense lncRNAs, 891 antisense lncRNAs, 1,893 intergenic lncRNAs, 346 bidirectional lncRNAs, and 210 intron lncRNAs (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Type statistics of <italic>A. m. ligustica</italic> lncRNAs identified in this work.</p>
</caption>
<graphic xlink:href="fphys-13-1082522-g001.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Differential expression profile of lncRNAs in larval guts infected by <italic>A. apis</italic>
</title>
<p>Here, 156, 98, and 361 up-regulated and 201, 138, and 144 down-regulated lncRNAs were identified in the 4-, 5-, and 6-day-old comparison groups (<xref ref-type="fig" rid="F2">Figure 2A</xref>). Venn analysis indicated that 32 DElncRNAs were shared by the three comparison groups, and the numbers of specific DElncRNAs were 191, 93, and 322, respectively (<xref ref-type="fig" rid="F2">Figure 2B</xref>). As shown in <xref ref-type="fig" rid="F2">Figure 2C</xref>, the shared DElncRNAs displayed various expression patterns during <italic>A. apis</italic> infection; such as the expression levels of XR_003305757.1, XR_003304308.1, and XR_001705213.2 were elevated in AmCK1 group but decreased in AmT1 group (<xref ref-type="fig" rid="F2">Figure 2C</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Number and expression of DElncRNAs in <italic>A.m. ligustica</italic> larval guts responding to <italic>A. apis</italic> infection. <bold>(A)</bold> Number of up- and down-regulated lncRNAs in three comparison groups. <bold>(B)</bold> Venn diagram of DElncRNAs in three comparison groups. <bold>(C)</bold> Heat map of shared DElncRNAs by three comparison groups.</p>
</caption>
<graphic xlink:href="fphys-13-1082522-g002.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>
<italic>Cis</italic>-acting regulation of host DElncRNAs</title>
<p>In the AmCK1 vs. AmT1 comparison group, 217 DElncRNAs were predicted to regulate 361 neighboring genes, which were enriched in 31 GO terms relative to biological process, cellular component, and molecular function, such as behavior, cell, and binding (<xref ref-type="fig" rid="F3">Figure 3A</xref>); these genes were also involved in 203 KEGG pathways, including ribosome biogenesis in eukaryotes, measles, and viral carcinogenesis (<xref ref-type="fig" rid="F3">Figure 3D</xref>); further investigation suggested that 37 genes were associated with immune pathways such as cell apoptosis, autophagy, and endocytosis (<xref ref-type="table" rid="T1">Table 1</xref>). Comparatively, 129 DElncRNAs in the AmCK2 vs. AmT2 comparison group were predicted to regulate 217 neighboring genes, which were enriched in 33 GO terms (<xref ref-type="fig" rid="F3">Figure 3B</xref>), such as localization and organelle, as well as 154 KEGG pathways, such as alcoholism and cell adhesion molecules (<xref ref-type="fig" rid="F3">Figure 3E</xref>); additionally, 19 genes relevant to immune pathways, such as phagosome, ubiquitin-mediated proteolysis, and Jak-STAT signaling pathway, were putatively regulated by 129 DElncRNAs (<xref ref-type="table" rid="T1">Table 1</xref>). In the AmCK3 vs. AmT3 comparison group, 272 DElncRNAs were predicted to regulate 496 neighboring genes, which were enriched in 31 GO terms (<xref ref-type="fig" rid="F3">Figure 3C</xref>), such as immune system process and catalytic activity, as well as 226 KEGG pathways, such as malaria and p53 signaling pathway (<xref ref-type="fig" rid="F3">Figure 3F</xref>); 272 DElncRNAs were found to be engaged in regulating 51 genes related to cellular or humoral immune pathways, such as endocytosis, biosynthesis of insect hormones, and lysosome (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>GO terms and KEGG pathways enrich by neighboring genes of DElncRNAs. <bold>(A&#x2013;C)</bold> GO classification of neighboring genes of DElncRNAs in AmCK1 vs. AmT1, AmCK2 vs. AmT2, and AmCK3 vs. AmT3 comparison groups. <bold>(D&#x2013;F)</bold> Enriched KEGG pathways by neighboring genes of DElncRNAs in AmCK1 vs. AmT1, AmCK2 vs. AmT2, and AmCK3 vs. AmT3 comprison groups.</p>
</caption>
<graphic xlink:href="fphys-13-1082522-g003.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of neighboring genes of DElncRNAs associated with immune pathways.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Pathway</th>
<th align="center">AmCK1 vs. AmT1 comparison group</th>
<th align="center">AmCK2 vs. AmT2 comparison group</th>
<th align="center">AmCK3 vs. AmT3 comparison group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Cell apoptosis</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">10</td>
</tr>
<tr>
<td align="center">Cell apoptosis-multi-species</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">Autophagy-animal</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">3</td>
</tr>
<tr>
<td align="center">Endocytosis</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">6</td>
</tr>
<tr>
<td align="center">Biosynthesis of insect hormones</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">Lysosome</td>
<td align="center">3</td>
<td align="center">2</td>
<td align="center">4</td>
</tr>
<tr>
<td align="center">Necroptosis</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">Phagosome</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">4</td>
</tr>
<tr>
<td align="center">Ubiquitin-mediated proteolysis</td>
<td align="center">3</td>
<td align="center">2</td>
<td align="center">4</td>
</tr>
<tr>
<td align="center">Jak-STAT signaling pathway</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">MAPK signaling pathway</td>
<td align="center">7</td>
<td align="center">4</td>
<td align="center">7</td>
</tr>
<tr>
<td align="center">NF-<italic>&#x3ba;</italic>B signaling pathway</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">Ras signaling pathway</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">3</td>
</tr>
<tr>
<td align="center">Toll and Imd signaling pathway</td>
<td align="center">4</td>
<td align="center">3</td>
<td align="center">3</td>
</tr>
<tr>
<td align="center">Toll-like receptor signaling pathway</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5">
<title>CeRNA regulatory network of host DElncRNAs</title>
<p>Complex ceRNA networks of DElncRNAs existed in the AmCK1 vs. AmT1 and AmCK2 vs. AmT2 comparison groups, whereas the DElncRNA-DEmiRNA-DEmRNA regulatory network in the AmCK3 vs. AmT3 comparison groups was more complicated (<xref ref-type="fig" rid="F4">Figure 4</xref>). In detail, 197 DElncRNAs in the AmCK1 vs. AmT1 comparison group could target 10 DEmiRNAs and further bind to 147 DEmRNAs (<xref ref-type="fig" rid="F4">Figure 4A</xref>), which were engaged in 24 GO terms, including single-organism process and membrane (<xref ref-type="fig" rid="F5">Figure 5A</xref>), as well as 23 KEGG pathways, such as circadian rhythm-fly and dorsoventral axis formation (<xref ref-type="fig" rid="F5">Figure 5D</xref>). In the AmCK2 vs. AmT2 comparison group, 95 DElncRNAs could target eight DEmiRNAs and further link to 79 DEmRNAs (<xref ref-type="fig" rid="F4">Figure 4B</xref>), which were involved in 22 GO terms, including single-organism process and binding (<xref ref-type="fig" rid="F5">Figure 5B</xref>), as well as 16 KEGG pathways, such as ECM-receptor interaction and beta-alanine metabolism (<xref ref-type="fig" rid="F5">Figure 5E</xref>). In the AmCK3 vs. AmT3 comparison group, 356 DElncRNAs could target 21 DEmiRNAs and 315 DEmRNAs (<xref ref-type="fig" rid="F4">Figure 4C</xref>), which were associated with 28 GO terms, including cellular process and membrane part (<xref ref-type="fig" rid="F5">Figure 5C</xref>), as well as 68 KEGG pathways, such as neuroactive ligand and drug metabolism (<xref ref-type="fig" rid="F5">Figure 5F</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(A)</bold> DElncRNA-involved ceRNA network in the AmCK1 vs. AmT1 comparison group. <bold>(B)</bold> DElncRNA-involved ceRNA network in the AmCK2 vs. AmT2 comparison group. <bold>(C)</bold> DElncRNA-involved ceRNA network in the AmCK3 vs. AmT3 comparison group.</p>
</caption>
<graphic xlink:href="fphys-13-1082522-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>GO terms and KEGG pathways enriched by target DEmRNAs within ceRNA networks in three comparison groups. <bold>(A&#x2013;C)</bold> Loop graphs of enriched GO terms by targets in AmCK1 vs. AmT1, AmCK2 vs. AmT2, and AmCK3 vs. AmT3 comparison groups. <bold>(D&#x2013;F)</bold> Chord graphs of enriched KEGG pathways by targets in AmCK1 vs. AmT1, AmCK2 vs. AmT2, and AmCK3 vs. AmT3 comparison groups.</p>
</caption>
<graphic xlink:href="fphys-13-1082522-g005.tif"/>
</fig>
<p>Further investigation demonstrated that target DEmRNAs in the AmCK1 vs. AmT1 comparison group were related to two cellular immune pathways (lysosome and endocytosis) and one humoral immune pathway (MAPK signaling pathway); target DEmRNAs in the AmCK2 vs. AmT2 comparison group were associated with two cellular immune pathways (endocytosis and phagosome); target DEmRNAs in the AmCK3 vs. AmT3 comparison group were relevant to six cellular immune pathways (lysosome, endocytosis, phagosome, etc.) and one humoral immune pathway (Toll and Imd signaling pathways). Detailed information about immune-related targets is presented in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of immune-associated target DEmRNAs within ceRNA networks.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Pathways</th>
<th align="center">AmCK1 vs. AmT1 comparison group</th>
<th align="center">AmCK2 vs. AmT2 comparison group</th>
<th align="center">AmCK3 vs. AmT3 comparison group</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Lysosome</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">Endocytosis</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">Phagosome</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">Autophagy-animals</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">4</td>
</tr>
<tr>
<td align="center">Apoptosis-fly</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">Ubiquitin-mediated proteolysis</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">MAPK signaling pathway-fly</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">Toll and Imd signaling pathway</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-6">
<title>Validation of DElncRNAs by RT&#x2012;qPCR</title>
<p>The RT&#x2012;qPCR results suggested that the expression trends of nine DElncRNAs were consistent with those in the transcriptome data (<xref ref-type="fig" rid="F6">Figure 6</xref>), further confirming the reliability of the sequencing data used in this work.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>RT-qPCR verification of DElncRNAs. <bold>(A&#x2013;C)</bold> DElncRNAs in AmCK1 vs. AmT1 comparison groups. <bold>(D&#x2013;F)</bold>, DElncRNAs in AmCK2 vs. AmT2 comparison groups. <bold>(G&#x2013;I)</bold> DElncRNAs in AmCK3 vs. AmT3 comparison groups. &#x2a; represents <italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a; represents <italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a; represents <italic>p</italic> &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="fphys-13-1082522-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Previously, our group identified 6,353 lncRNAs in <italic>A. m. ligustica</italic> workers&#x2019; midguts based on RNA-seq, including 4,749 known and 1,604 novel lncRNAs (<xref ref-type="bibr" rid="B7">Chen et al., 2019a</xref>). Here, 3,146 known and 600 novel lncRNAs were identified (<xref ref-type="fig" rid="F1">Figure 1</xref>), further enriching the reservoir of lncRNAs in <italic>A. mellifera</italic>. In addition, we found that 39 (1.2%) known lncRNAs were shared by the <italic>A. m. ligustica</italic> larval guts and workers&#x2019; midguts, indicative of their key roles in the growth and development of both larval gut and worker&#x2019;s midgut. It is speculated that those specific lncRNAs exert different functions at different developmental stages of the gut tissue. In animals and plants, the lncRNA expression was suggested to be tissue- and stage-specific (<xref ref-type="bibr" rid="B52">Statello et al., 2021</xref>). Hence, the total number of <italic>A. m. ligustica</italic> lncRNAs should be much greater than the documented ones. It is believed that with the increasing quantity of related studies, more honey bee lncRNAs will be discovered in the future.</p>
<p>LncRNAs were verified to be vital regulators in responses of insects to pathogen/parasite infection (<xref ref-type="bibr" rid="B56">Valadkhan and Valencia-Hip&#xf3;lito, 2016</xref>; <xref ref-type="bibr" rid="B44">Meng et al., 2021</xref>). For instance, <xref ref-type="bibr" rid="B62">Zhang L. et al. (2020)</xref> identified 4,450 DElncRNAs, 66 DEmiRNAs, and 7,448 DEmRNAs in the <italic>B. mori</italic> BmN cells responding to the <italic>B. mori</italic> nucleopolyhedrosis virus (BmNPV) infection, and found that DElncRNAs were likely to participate in host response <italic>via</italic> ceRNA network. <xref ref-type="bibr" rid="B28">Jayakodi et al. (2015)</xref> identified 2,470 lincRNAs and 1,514 lincRNAs from <italic>Apis cerana</italic> and <italic>A. mellifera</italic>, respectively, in sacbrood virus (SBV) infected <italic>A. cerana</italic>, 11 lincRNAs are specifically regulated upon viral infection. In this work, 156, 98, and 361 up-regulated lncRNAs were detected in the 4-, 5-, and 6-day-old comparison groups (<xref ref-type="fig" rid="F2">Figure 2A</xref>), which showed that a portion of lncRNAs were induced to activation. Comparatively, 201, 138, and 144 lncRNAs were found to down-regulate in the above-mentioned three comparison groups, indicative of the suppression of these lncRNAs by <italic>A. apis</italic>. In summary, these DElncRNAs were speculated to be engaged in the host response to <italic>A. apis</italic> infection and play certain regulatory parts. In addition, three up-regulated lncRNAs (XR_001702513.2 (log<sub>2</sub>FC &#x3d; 8.748 2, <italic>p</italic> &#x3d; 0.000 2), XR_003304325.1 (log<sub>2</sub>FC &#x3d; 1.854 1, <italic>p</italic> &#x3d; 0.000 4), and XR_411902.3 (log<sub>2</sub>FC &#x3d; 2.667 4, <italic>p</italic> &#x3c; 0.000 1)) and two down-regulated lncRNAs (XR_001703713.2 (log<sub>2</sub>FC &#x3d; &#x2212;7.965 8, <italic>p</italic> &#x3c; 0.000 1) and XR_003305757.1 (log<sub>2</sub>FC &#x3d; &#x2212;7.409 4, <italic>p</italic> &#x3c; 0.000 1)) were shared by the aforementioned three comparison groups (<xref ref-type="fig" rid="F2">Figure 2C</xref>), suggestive of their pivotal roles in host response, therefore deserving additional investigation such as RNAi-based functional dissection.</p>
<p>Accumulating evidences have shown that lncRNAs are capable of regulating the transcription of neighboring genes in a <italic>cis</italic>-acting manner (<xref ref-type="bibr" rid="B18">Gil and Ulitsky, 2020</xref>). <xref ref-type="bibr" rid="B7">Chen et al. (2019a)</xref> constructed DElncRNA-miRNA-mRNA networks of the <italic>A. m. ligustica</italic> response to <italic>Nosema ceranae</italic> infection and found that a portion of DElncRNAs were likely to participate in regulating host material and energy metabolism as well as cellular and humoral immunity during host responses to <italic>N. ceranae</italic> invasion. <xref ref-type="bibr" rid="B49">Ropri et al. (2021)</xref> reported that SE-lncRNAs (RP11-379F4.4 and RP11-465B22.8) played a potential role in the progression of ductal carcinoma <italic>in situ</italic> (DCIS) and invasive ductal carcinoma (IDC) by regulating the expression of neighboring genes. Insect only consumes a small amount of energy to maintain basic activities without activation of the immune system; however, once the immune system is activated under pathogen invasion, the energy consumption rate will greatly increase (<xref ref-type="bibr" rid="B32">Kingsolver et al., 2013</xref>). Here, we observed that the largest number of neighboring genes in the AmCK3 vs. AmT3 comparison group were involved in energy metabolism-associated pathways such as oxidative phosphorylation and nitrogen metabolism, indicating the continuous proliferation of <italic>A. apis</italic> within the host larval gut and the <italic>A. apis</italic>-caused pressure at the later stage of infection, which resulted in the enhancement of host immune defense and thus the elevation of the energy metabolism rate. To cope with the infection of pathogenic microorganisms, insects have evolved an efficient innate immune system including cellular and humoral immune, and the latter is mediated by multiple signaling pathways (<xref ref-type="bibr" rid="B57">Valanne et al., 2011</xref>; <xref ref-type="bibr" rid="B24">Hillyer, 2016</xref>). In the present study, neighboring genes regulated by DElncRNAs in the 4-, 5- and 6-day-old larval guts infected by <italic>A. apis</italic> were observed to be involved in several cellular immune pathways namely cell apoptosis, lysosome, phagosome, ubiquitin-mediated proteolysis, and some humoral immune pathways such as Jak-STAT, MAPK as well as Toll and Imd signaling pathways (<xref ref-type="fig" rid="F3">Figure 3</xref>). These results demonstrated that corresponding DElncRNAs were likely to control the transcription of neighboring genes and further participate in regulating host cellular and humoral immune responses to <italic>A. apis</italic> infection.</p>
<p>Those lncRNAs with MREs could interact with miRNAs and influence downstream gene expression <italic>via</italic> ceRNA networks (<xref ref-type="bibr" rid="B54">Tang et al., 2017</xref>; <xref ref-type="bibr" rid="B58">Wang et al., 2020</xref>). An increasing number of lncRNAs have been verified to be pivotal regulators in the occurrence and development of an array of human diseases through ceRNA mechanisms, such as cancer, Alzheimer&#x2019;s disease, and cardiovascular disease (<xref ref-type="bibr" rid="B60">Wu et al., 2020</xref>; <xref ref-type="bibr" rid="B41">Ma et al., 2020</xref>). Additionally, lncRNAs were suggested to mediate insect-pathogen interactions <italic>via</italic> ceRNA regulatory networks (<xref ref-type="bibr" rid="B7">Chen et al., 2019a</xref>; <xref ref-type="bibr" rid="B63">Zhang S. et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Mao et al., 2022</xref>). For example, <xref ref-type="bibr" rid="B42">Mao et al. (2022)</xref> reported that aae-lnc-0165 suppressed by <italic>Wolbachia</italic> induced the expression of <italic>REL1</italic> gene in <italic>Aedes aegypti</italic> through the sequence-specific binding of aae-miR-980-5p, which contributed to the activation of Toll signaling pathway. Previous findings showed that lncRNA-mediated ceRNA regulatory networks were putatively engaged in midgut development and the <italic>N. ceranae</italic> response of western honey bee workers (<xref ref-type="bibr" rid="B21">Guo et al., 2018</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2019a</xref>). In this current work, 197, 95, and 356 DElncRNAs in 4-, 5-, and 6-day-old larval guts could respectively target 10, eight, and 21 DEmiRNAs and further target 147, 79, and 315 DEmRNAs, forming complex ceRNA regulatory networks (<xref ref-type="fig" rid="F4">Figure 4</xref>). This indicated that these DElncRNAs may participated in the regulation larval response to <italic>A. apis</italic> invasion <italic>via</italic> ceRNA mechanism. After being ingested by bee larvae, the <italic>A. apis</italic> spores enter into the midgut and germinate at low level, the diaphragm between midgut and hindgut disappears at prepupal stage (7- and 8-day-old), and the spores rapidly germinate and at the meantime the mycelia grow in abundance in the hindgut when contacting O<sub>2</sub>, thereafter the mycelia penetrate the gut wall and then the body wall, resulting in chalkbrood mummy (<xref ref-type="bibr" rid="B37">Li T. et al., 2012</xref>; <xref ref-type="bibr" rid="B29">Jensen et al., 2013</xref>). Intriguingly, it is observed that the number of immune-associated targets within ceRNA networks in the 6-day-old comparison group were more than other two comparison groups. This reflected that with the increased time of <italic>A. apis</italic> infection the host-pathogen interactions were at a higher level at 6-day-old (3 dpi), a timepoint adjacent to the outbreak of chalkbrood disease.</p>
<p>MiR-1 plays an important role in the pathogenesis of heart disease, <xref ref-type="bibr" rid="B38">Liu et al. (2021)</xref> indicated that inhibiting miR-1 may relieve right ventricle hypertrophy and fibrosis in model rats used in their research, which also works significantly in plants. <xref ref-type="bibr" rid="B59">Wang et al. (2018)</xref> discovered that Connexin43, an extract of <italic>Astragalus</italic> root, worked by targeting miR-1 to cure viral myocarditis, and overexpression of miR-1 inhibited endogenous Connexin43 expression significantly. Previous studies have found that the expression of miR-1 in <italic>A. m. ligustica</italic> workers was significantly downregulated 6 days after <italic>N. ceranae</italic> inoculation, suggesting its potential involvement in the host immune response (<xref ref-type="bibr" rid="B25">Huang et al., 2015</xref>). In the Asian honey bee <italic>A. ceranae</italic>, <xref ref-type="bibr" rid="B8">Chen et al. (2019b)</xref> found that the expression of miR-1-x in the worker&#x2019;s midgut was significantly downregulated at 7&#xa0;days post inoculation with <italic>N. ceranae</italic> spores. Here, 35 DElncRNAs in the 6-day-old larval gut could jointly target miR-1-z (highly homologous to ame-miR-1), which can further target 32 DEmRNAs (<xref ref-type="fig" rid="F4">Figure 4C</xref>). It is speculated that these DElncRNAs potentially regulate the expression of downstream target genes by targeting miR-1-z, further modulating the larval immune response to <italic>A. apis</italic> invasion. Effective knockdown of lncRNAs in insects such as <italic>Drosophila</italic>, <italic>Helicoverpa armigera</italic>, and <italic>Plutella xylostella</italic> was achieved utilizing the RNAi method (<xref ref-type="bibr" rid="B19">Guan et al., 2020</xref>; <xref ref-type="bibr" rid="B62">Zhang L. et al., 2020</xref>). Recently, our team conducted dsRNA-based knockdown of lncRNA13164 in the <italic>A. ceranae</italic> larval guts and found that lncRNA13164 regulated the expression of three immune genes (<italic>stk</italic>, <italic>e3&#xb5;l</italic> and <italic>or1</italic>) <italic>via</italic> ace-miR-4968 and further mediated the host immune response to <italic>A. apis</italic> infection (<xref ref-type="bibr" rid="B16">Fu et al., 2022</xref>). In the near future, we will perform a functional study on miR-1-z as well as associated DElncRNAs and explore the mechanism underlying host response mediated by the DElncRNA-miR-1-z-DEmRNA axis.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In a nutshell, 3,146 known lncRNAs and 600 novel lncRNAs were identified in the <italic>A. mellifera</italic> larval guts; additionally, <italic>A. apis</italic> infection caused overall change of expression profile of lncRNAs in host guts; DElncRNAs potentially participated in larval immune response to <italic>A. apis</italic> invasion by regulating the expression of neighboring genes or interacting with DEmiRNAs (<xref ref-type="fig" rid="F7">Figure 7</xref>); corresponding DElncRNAs were potentially engaged in host immune response through ceRNA regulatory networks <italic>via</italic> absorption of miR-1-z.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>A working model of DElncRNA-modulated larval immune response of <italic>A. m. ligustica</italic> bee to <italic>A. apis</italic> invasion.</p>
</caption>
<graphic xlink:href="fphys-13-1082522-g007.tif"/>
</fig>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<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 in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>.</p>
</sec>
<sec id="s7">
<title>Ethics statement</title>
<p>The study was reviewed and approved by Fujian Agriculture and Forestry University.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>RG, XF, and JW conceived and planned the experiments. YY, QL, WZ, and ZC carried out the experiments, analyzed and interpreted the data. RG, MS, XG, and PZ designed the figures. DC and RG reviewed and edited the paper. All authors contributed to the review and approval of the manuscript for publication.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>The National Natural Science Foundation of China (31702190), the Earmarked Fund for China Agriculture Research System (CARS-44-KXJ7), the Master Supervisor Team Fund of Fujian Agriculture and Forestry University (RG), the Natural Science Foundation of Fujian Province (2022J01131334), the Scientific Research Project of College of Animal Sciences (College of Bee Science) of Fujian Agriculture and Forestry University (RG), and the Undergraduate Innovation and Entrepreneurship Training Program of Fujian province (202210389114, 202210389131).</p>
</sec>
<ack>
<p>All authors thanks reviewers and editors for their constructive comments and recommendations. RG appreciates the love from his beloved wife and daughter.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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 sec-type="disclaimer" id="s11">
<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="s12">
<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/fphys.2022.1082522/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphys.2022.1082522/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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