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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2022.878856</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Mating Leads to a Decline in the Diversity of Symbiotic Microbiomes and Promiscuity Increased Pathogen Abundance in a Moth</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Luo-Yan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1792386/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fu</surname> <given-names>Da-Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xu</surname> <given-names>Jin</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"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1685507/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Song</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ye</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Yunnan Academy of Biodiversity, Southwest Forestry University</institution>, <addr-line>Kunming</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University</institution>, <addr-line>Kunming</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Ecology and Environment, Yunnan University</institution>, <addr-line>Kunming</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Chih-Horng Kuo, Academia Sinica, Taiwan</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Anke Kloock, New York University, United States; Shahid Karim, University of Southern Mississippi, United States; Oliver Otti, Technical University of Dresden, Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jin Xu <email>xujin2798&#x00040;126.com</email></corresp>
<corresp id="c002">Hui Ye <email>huiye196&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Microbial Symbioses, a section of the journal Frontiers in Microbiology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>878856</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Zhang, Yu, Fu, Xu, Yang and Ye.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhang, Yu, Fu, Xu, Yang and Ye</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>Mating may promote microbial diversity through sexual transmission, while mating-induced immune responses may decrease it. Therefore, the study of mating-induced microbiomes changes under different mating systems is informative to unravel its biological relevance and evolutionary significance. Here, we studied the microbiomes in a community context within the abdomen of <italic>Spodoptera frugiperda</italic> females using 16S rDNA sequences by setting virgin females, and females mated once, twice, or thrice with the same or different males. Alpha and beta diversities revealed that mating significantly affected the composition of microbiomes in <italic>S. frugiperda</italic> females, wherein virgin females have the highest diversity, followed by one-time mated females and females mated with multiple males, while females mated repeatedly with the same male showed the lowest diversity. The low diversity in females mated repeatedly with the same male may be due to lower sexual transmission as only mated with one mate and higher immune response from repeated matings. Functional prediction by FAPROTAX and literature searching found 17 possible pathogens and 12 beneficial microbiomes. Multiple mating turned over the abundance of pathogens and beneficial microbes, for example, <italic>Enterococcus</italic> and <italic>Lactobacillus</italic> spp. (beneficial) showed higher abundance in virgin females while <italic>Morganella</italic> and <italic>Serratia</italic> spp. (pathogens) showed higher abundance in females mated with multiple males. These results suggest that mating causes a decline in the diversity of symbiotic microbiomes and promiscuity incurs a higher pathogen abundance in <italic>S. frugiperda</italic> females, which may be the result of sexual transmission of bacterial strains and immune responses targeting members of the microbiomes. To our knowledge, we demonstrate microbiomes changes in female insects under virgin and different mating regimes for the first time.</p></abstract>
<kwd-group>
<kwd><italic>Spodoptera frugiperda</italic></kwd>
<kwd>reproductive microbiomes</kwd>
<kwd>mating</kwd>
<kwd>sexually transmitted microbes</kwd>
<kwd>pathogen</kwd>
<kwd>beneficial bacteria</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="82"/>
<page-count count="14"/>
<word-count count="8390"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Animals live and evolve in a world dominated by microbes, from which they host a diversity of microbiomes on and in their bodies. It is now widely accepted that microbiomes can be an integral part of the host phenotype, which may influence the health, physiology, development, behavior, and reproduction of the host, and potentially influence the host genome and be a part of the host genome (Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>). A wide range of studies so far have been performed to reveal the role of microbiomes on host skin, oral, and gut from perspectives of ecology, adaption, and evolution (Dillon and Dillon, <xref ref-type="bibr" rid="B22">2004</xref>; Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>). However, reproductive microbiomes or reproduction-related microbiomes are relatively neglected and less known (Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>). Reproductive microbiomes, including bacteria, fungi, viruses, protozoans, and unicellular algae, living in or on any structure, organ, fluid, or tissue of a host, typically make contact with the gametes or reproductive tract or organs of another individual through mating and spawning (Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>).</p>
<p>Studies in mammals, particularly human, have demonstrated that a large number of sexually transmitted microbes have negative effects on the health and survival of hosts (Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>). Fitness tests indicated that these microbes often can have significant effects (but not negative always) on the reproductive performance and success of males and females (Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>). Evidence, in male mammals, increasingly recognized that some of these microbes may decrease sperm quality and fertility (Fraczek et al., <xref ref-type="bibr" rid="B32">2013</xref>; Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>) and, in female mammals, demonstrated that some microbes are associated with female health and reproduction, including sexually transmitted infections, preterm birth, infertility, and low fecundity (Lockhart et al., <xref ref-type="bibr" rid="B41">1996</xref>; Ravel et al., <xref ref-type="bibr" rid="B61">2011</xref>; Chen et al., <xref ref-type="bibr" rid="B18">2017</xref>; Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Marconi et al., <xref ref-type="bibr" rid="B45">2020</xref>). Studies in human also found that the typically dominated vaginal microbe, <italic>Lactobacillus</italic> spp., can be &#x0201C;healthy&#x0201D; vaginal microbiomes, which are oxygen-tolerant anaerobes that exhibit antimicrobial activity against a range of vaginal pathogens, probably by physically barring against pathogen adhesion, production of lactic acid, and stimulating host defense responses (Ravel et al., <xref ref-type="bibr" rid="B61">2011</xref>; Chen et al., <xref ref-type="bibr" rid="B18">2017</xref>; Tachedjian et al., <xref ref-type="bibr" rid="B70">2017</xref>; Younes et al., <xref ref-type="bibr" rid="B79">2018</xref>). Studies in this field are relatively limited in insects. A study in the bedbug showed that exposuring males to polymicrobial mixture (such as <italic>Acinetobacter, Alcaligenes, Bacillus</italic>, and <italic>Staphylococcus</italic>) significantly increased sperm mortality (up to 40%) (Otti et al., <xref ref-type="bibr" rid="B55">2013</xref>). In some insects including some lepidopterans, <italic>Wolbachia</italic> infection may lead to increased survival and reproduction (Chen et al., <xref ref-type="bibr" rid="B19">2012</xref>; Moriyama et al., <xref ref-type="bibr" rid="B50">2015</xref>; Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref>), while some <italic>Enterococcus</italic> species, such as <italic>E. faecalis</italic>, may have a negative impact on the fecundity of fruit flies (Akami et al., <xref ref-type="bibr" rid="B5">2019</xref>; Noman et al., <xref ref-type="bibr" rid="B51">2021</xref>). Moreover, studies also found that reproductive-related microbiomes play a diversity of roles in the reproduction process of animals, including insects, which is related to sexual selection, sperm competition, genetic compatibility, sexual conflict, and speciation (Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>). However, most studies examined bacteria effects with only one or a few types of bacteria (Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>). One possible reason is that these microbes are large in quantity and species, and most of them are hard to cultivate or uncultivable (Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>). While the study of individual microbes is fundamental and informative, it is important to understand the microbiomes in a community context (Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref>).</p>
<p>Recent progress on high-throughput sequencing and bioinformatics has revolutionized our understanding of symbiotic microbiomes. In the field of reproductive microbiomes, a few studies have demonstrated the bacterial communities of the reproductive organs in insects using 16S rDNA sequencing and subsequent bioinformatic analysis (Wang et al., <xref ref-type="bibr" rid="B73">2014</xref>; Otti et al., <xref ref-type="bibr" rid="B54">2017</xref>; Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>). In the citrus fruit fly, <italic>Bactrocera minax</italic>, sequencing revealed that female ovary has the highest diversity in microbiomes, followed by male testis, and the bacterial diversity of reproductive organs is higher than that of the gut (Wang et al., <xref ref-type="bibr" rid="B73">2014</xref>). Recent studies in the common bedbug, <italic>Cimex lectularius</italic>, showed that genital microbiomes varied between populations and the sexes and mating changes the genital microbiomes, suggesting that bacteria are sexually transmitted and these bacteria might play an important role in shaping the evolution of reproductive traits (Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>). Future studies based on these new findings and technologies are likely to provide deeper insights in this field by investigating the transmission dynamics between males and females.</p>
<p>Mating can cause major changes in female physiology and behavior. Studies have shown that mating has a positive effect on female reproductive activities, which may negatively affect female maintenance (such as immunity responses) and survival due to trade-offs on resource utilization by females, or male suppression of female immunity to promote sperm storage and egg fertilization in females (reviewed in Schwenke et al., <xref ref-type="bibr" rid="B67">2016</xref>; Wigby et al., <xref ref-type="bibr" rid="B76">2019</xref>). However, studies have also shown that mating may upregulate the female&#x00027;s immune response due to the transfer of foreign materials and mating caused infections (Delbare et al., <xref ref-type="bibr" rid="B21">2017</xref>; Okada et al., <xref ref-type="bibr" rid="B52">2017</xref>; Oku et al., <xref ref-type="bibr" rid="B53">2019</xref>; Ahmed-Braimah et al., <xref ref-type="bibr" rid="B4">2021</xref>). These different discoveries may stem from different mating systems. Females of polygamous species should have higher postmating immunity if sexually transmitted infection is the major factor driving female postmating costs (Oku et al., <xref ref-type="bibr" rid="B53">2019</xref>). Therefore, it is imperative and informative to study reproductive microbiomes as a whole in a community context in different mating systems (such as polygamy or polyandry) and under different mating conditions (such as repeated mating or multiple mating). Male mating with more than one female is known as polygamy, while female mating with more than one male is known as polyandry. Multiple mating (mating with more than one mate) and repeated mating (mating repeatedly with the same mate) are common in both sexes in insects, birds, and mammals (Andersson, <xref ref-type="bibr" rid="B6">1994</xref>).</p>
<p>As mentioned above, studies have studied the microbiomes in the reproductive organs and guts in mated and virgin insects (Wang et al., <xref ref-type="bibr" rid="B73">2014</xref>; Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>). However, in addition to reproductive organs and guts, symbiotic microbiomes also exist in other tissues or organs, either intracellularly or extracellularly, such as in the fat body and hemolymph (Szklarzewicz and Michalik, <xref ref-type="bibr" rid="B69">2017</xref>). All these symbiotic microbiomes are under the surveillance of insect immune system and thus are likely to be affected by the mating-induced defense responses (Whitlow, <xref ref-type="bibr" rid="B75">2004</xref>; Okada et al., <xref ref-type="bibr" rid="B52">2017</xref>; Oku et al., <xref ref-type="bibr" rid="B53">2019</xref>). Therefore, in this study, we studied the symbiotic microbiomes in the abdomen of <italic>Spodoptera frugiperda</italic> females by evaluating microbiomes as a whole in a community context. To test the above signified hypotheses, we used virgin females as controls, treat other females to mate once, twice, or thrice with the same (repeated mating) or different males (multiple mating), and then measured the exact changes on microbiomes in female abdomen using 16S rDNA sequencing. The evolutionary significance of reproductive microbiomes and interactions between host physiology and microbial communities were further explored based on these data.</p>
<p>The fall armyworm, <italic>Spodoptera frugiperda</italic> (Lepidoptera: Noctuidae), is native to tropical and subtropical regions from Argentina to the United States in the Western Hemisphere (Kumar et al., <xref ref-type="bibr" rid="B38">2009</xref>). <italic>S. frugiperda</italic> is a long-distance migratory pest, but there was no report on its distribution outside the Americas before 2015. This pest was first discovered in Africa in 2016 (Abrahams et al., <xref ref-type="bibr" rid="B1">2017</xref>) and then invaded India and some other areas in Asia in 2018 (FAO, <xref ref-type="bibr" rid="B30">2019</xref>; CABI, <xref ref-type="bibr" rid="B14">2020</xref>). Soon thereafter, this pest was discovered in Yunnan Province of China at the end of 2018 and then quickly spread northward to the vast areas of China (Guo et al., <xref ref-type="bibr" rid="B34">2019</xref>; Xu et al., <xref ref-type="bibr" rid="B77">2019</xref>; Zhang et al., <xref ref-type="bibr" rid="B82">2019</xref>). This pest mainly damages corn and wheat in China, with the annual potential loss being $17,286&#x02013;52,143 m for corn (Qin et al., <xref ref-type="bibr" rid="B60">2020</xref>) and $15,571&#x02013;90,143 m for wheat (Xu et al., <xref ref-type="bibr" rid="B78">2020</xref>), respectively. Symbiotic microbiomes play imperative roles in the survival and reproduction of the host, in addition to the interactions of insect pests, host plants, and natural enemies (Ferrari and Vavre, <xref ref-type="bibr" rid="B31">2011</xref>; Perilla-Henao and Casteel, <xref ref-type="bibr" rid="B59">2016</xref>; Beck and Vannette, <xref ref-type="bibr" rid="B9">2017</xref>). Therefore, modifying symbiotic microbiomes is a potential management strategy for the control of agricultural insect pests (Perilla-Henao and Casteel, <xref ref-type="bibr" rid="B59">2016</xref>; Beck and Vannette, <xref ref-type="bibr" rid="B9">2017</xref>).</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Insect Rearing and Sampling</title>
<p><italic>Spodoptera frugiperda</italic> larvae were collected in July 2019 on corn plants in the field near Zhanyi town in Yunnan Province, China. The insects were reared on the artificial diet (Li et al., <xref ref-type="bibr" rid="B40">2006</xref>) under 28 &#x000B1; 1&#x000B0;C and 60&#x02013;80% relative humidity with 14:10-h light:dark photoperiod, in the IPM Laboratory of Southwest Forestry University (Kunming, China). This insect has 11 generations in the laboratory before this study that was performed in January 2021. All insects used for sequencing are reared using the same method under the same condition as above, which minimized the random effects from the insect populations and environment.</p>
<p>To ensure virginity, male and female pupae were sexed based on morphological characteristics (Dong et al., <xref ref-type="bibr" rid="B26">2019</xref>) and then were caged separately. Adult eclosion was recorded daily, and the eclosion day was recorded as the 1st day since eclosion (<xref ref-type="fig" rid="F1">Figure 1</xref>). Females were allowed to mate once, twice, and thrice with the same or different males within the 4th to 6th day since eclosion. A female mated more than once with the same mate was recognized as repeated mating, while a female mated more than once with different mates was recognized as multiple mating. Virgin females were used as controls. Three replicates were used for each treatment, and six females were used for each replicate. Before abdomen sampling, the whole body of females was rinsed twice with sterile water and was surface-sterilized in 75% ethanol for 90 s and then rinsed twice again using sterile water. The abdomens were then cut from the sterilized females using sterile scissors and were stored at &#x02013; 80&#x000B0;C until use.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Experimental design and sampling methods. Single refer to one-time mated females, in which 1 mating 1 day (<italic>n</italic> = 3), 1 mating 2 days (<italic>n</italic> = 3), and 1 mating 3 days (<italic>n</italic> = 3) refer to one-time mated females sampled at 1, 2, and 3 d postmating (since the first mating), respectively. Multiple refer to females mated with multiple males (one male one mating), in which 2 matings 2 days (<italic>n</italic> = 3), 2 matings 3 days (<italic>n</italic> = 3), and 3 matings 3 days (<italic>n</italic> = 3) refer to twice and thrice mated females sampled at 2 and 3 d postmating (since the first mating), respectively. Repeated refer to females mated repeatedly with the same male, in which 2 matings 2 days (<italic>n</italic> = 3), 2 matings 3 days (<italic>n</italic> = 3), and 3 matings 3 days (<italic>n</italic> = 3) refer to twice and thrice mated females sampled at 2 and 3 d postmating (since the first mating), respectively. Virgin refer to unmated females, in which 0 mating 1 day (<italic>n</italic> = 3), 0 mating 2 days, and 0 mating 3 days (<italic>n</italic> = 3) refer to virgin females sampled at 1, 2, and 3 d postmating (relative to the above mating treatments), respectively.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-878856-g0001.tif"/>
</fig>
</sec>
<sec>
<title>DNA Extraction and 16S rDNA Sequencing</title>
<p>Total genome DNA was extracted from samples using CTAB method (Doyle and Doyle, <xref ref-type="bibr" rid="B28">1987</xref>). The 16S rDNA regions were amplified via PCR with the V3&#x02013;V4 primers (515F: 5&#x02032;-GTGYCAGCMGCCGCGGTAA-3&#x02032;; 806R:5&#x02032;-GGACTACNNGGGTATCTAAT-3&#x02032;) and with Phusion High-Fidelity PCR Master Mix (New England Biolabs, USA). The PCR products were analyzed using 2% agarose gel electrophoresis and were purified using a GeneJET Gel Extraction Kit (Thermo Scientific, USA). Sequencing libraries were generated using a TruSeq DNA PCR-Free Library Preparation Kit (Illumina, USA), according to the manufacturer&#x00027;s recommendations. Library quality was assessed on a Qubit Fluorometer (Thermo Scientific, USA) and an Agilent Bioanalyzer 2100 system (Agilent Technologies, USA). Finally, the library was sequenced on an Illumina NovaSeq PE250 platform (Novogene Bioinformatics Technology Co., Ltd., Beijing, China). Double-distilled water (ddH<sub>2</sub>O) was used as a negative control for DNA extraction and PCR amplification. Electrophoresis did not show any band or smudge in the negative control. No negative controls were used for library construction and sequencing, and no positive controls were used for DNA extraction or sequencing. The obtained raw data were deposited into the NCBI Sequence Read Archive (SRA) database (Accession No.: <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJNA742857">PRJNA742857</ext-link>).</p>
</sec>
<sec>
<title>Data Analysis</title>
<p>Clean reads were obtained by removing chimera sequences and low-quality reads from the raw reads. Uparse software (Uparse v7.0.1001, <ext-link ext-link-type="uri" xlink:href="http://drive5.com/uparse/">http://drive5.com/uparse/</ext-link>) (Edgar, <xref ref-type="bibr" rid="B29">2013</xref>) was used for subsequent sequence analysis. The sequences with &#x02265; 97% similarity were assigned to the same OTUs. The representative sequence for each OTU was screened for further annotation using Silva 138 (<ext-link ext-link-type="uri" xlink:href="https://www.arb-silva.de/">https://www.arb-silva.de/</ext-link>) (Wang et al., <xref ref-type="bibr" rid="B74">2007</xref>) based on the Mothur algorithm.</p>
<p>The QIIME (Version 1.7.0) (Caporaso et al., <xref ref-type="bibr" rid="B15">2010</xref>) was used for the analysis of alpha diversity to reveal the complexity of species within samples. The differences of Shannon diversity indices between different mating treatments (<xref ref-type="fig" rid="F1">Figure 1</xref>) were analyzed using an ANOVA followed by LSD tests with Bonferroni correction for multiple comparisons.</p>
<p>Beta diversity was applied to assess the differences of microbial community between treatments. The significance of differences between treatments was tested using non-parametric multivariate analysis of variance (NPMANOVA) based on Bray&#x02013;Curtis metrics and then visualized accordingly using the principal coordinates analysis (PCoA) based on Bray&#x02013;Curtis metrics. NPMANOVA was performed using R (Version 4.0.3) (Team, <xref ref-type="bibr" rid="B71">2020</xref>) with vegan (Dixon, <xref ref-type="bibr" rid="B24">2003</xref>) and phyloseq (Mcmurdie and Holmes, <xref ref-type="bibr" rid="B48">2013</xref>) packages.</p>
<p>The linear discriminant analysis (LDA) of effect size (<ext-link ext-link-type="uri" xlink:href="http://huttenhower.sph.harvard.edu/galaxy/">http://huttenhower.sph.harvard.edu/galaxy/</ext-link>) was used to determine OTUs that discriminate among the populations with an LDA score is more than 3.0. A cladogram was also constructed to show the LDA results.</p>
<p>FAPROTAX (Louca et al., <xref ref-type="bibr" rid="B42">2016</xref>) was used to predict the potential functional annotation of taxa in different size fractions, which predicts functions of uncultured prokaryotes from the known functions of cultured bacterial genera.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Sequencing and Quality Control</title>
<p>By 16S rDNA gene sequencing using the Illumina NovaSeq platform, &#x0007E;70,000 clean reads were obtained from each of the 36 sequenced libraries, with the average length being 424&#x02013;429 bp (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). The percentages of Q20 and Q30 of all samples&#x00027; clean reads ranged from 96.60 to 97.53% and from 90.62 to 92.56%, respectively. These sequences were clustered into 2005 OTUs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>). The rarefaction analysis showed a saturating number of OTUs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>), which indicates an adequate sequencing output for all samples.</p>
</sec>
<sec>
<title>Diversity Indices of Bacterial OTUs</title>
<p>Analysis of variance based on Shannon diversity metrics indicated that the OTU abundance was significantly different between virgin and mated females (ANOVA: <italic>F</italic><sub>1,34</sub> = 11.8, <italic>P</italic> = 0.002; <xref ref-type="fig" rid="F2">Figure 2A</xref>), among females of different mating types (ANOVA: <italic>F</italic><sub>4,32</sub> = 8.808, <italic>P</italic> &#x0003C; 0.0001; <xref ref-type="fig" rid="F2">Figure 2B</xref>) and among different samples (ANOVA: <italic>F</italic><sub>11,24</sub> = 5.061, <italic>P</italic> &#x0003C; 0.0001; <xref ref-type="fig" rid="F2">Figure 2C</xref>). Within different mating types (<xref ref-type="fig" rid="F2">Figure 2B</xref>), <italic>post-hoc</italic> pairwise comparison by LSD test (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>) showed that virgin females (Virgin) have the highest abundance (<italic>P</italic> &#x0003C; 0.05), followed by one-time mated females (Single) and females mated with multiple males (Multiple) (<italic>P</italic> &#x0003C; 0.05), while females mated repeatedly with the same male (Repeated) showed the lowest abundance (<italic>P</italic> &#x0003C; 0.05). Within different samples (<xref ref-type="fig" rid="F2">Figure 2C</xref>), <italic>post-hoc</italic> LSD test (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>) also showed a similar decline trend on abundance, that is, samples of Virgin showed the highest abundance, followed by samples of Single, and then samples of Multiple, while samples from Repeated showed the lowest diversity (<italic>P</italic> &#x0003C; 0.05).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Diversity indices of bacterial OTUs in <italic>S. frugiperda</italic> females with different mating treatments. Shannon diversity indices of virgin and mated females <bold>(A)</bold>, females with different mating types <bold>(B)</bold>, and all samples <bold>(C)</bold>. PCoA ordination based on Bray&#x02013;Curtis distances of virgin and mated females <bold>(D)</bold>, females with different mating types <bold>(E)</bold>, and all samples <bold>(F)</bold>. In each of the subgraphs of (a) to (c), bars with different letters are significantly different (<italic>P</italic> &#x0003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-878856-g0002.tif"/>
</fig>
<p>Beta-diversity analysis based on Bray&#x02013;Curtis distance (illustrated by PCoA) also showed significant variances in the composition of OTUs between virgin and mated females (NPMANOVA: <italic>F</italic><sub>1,34</sub> = 3.00, <italic>R</italic><sup>2</sup>= 0.081, <italic>P</italic> = 0.019; <xref ref-type="fig" rid="F2">Figure 2D</xref>), among females of different mating types (NPMANOVA: <italic>F</italic><sub>3,32</sub> = 6.506, <italic>R</italic><sup>2</sup>= 0.379, <italic>P</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F2">Figure 2E</xref>) and among different samples (NPMANOVA: <italic>F</italic><sub>11,24</sub> = 14.036, <italic>R</italic><sup>2</sup>= 0.865, <italic>P</italic> &#x0003C; 0.001; <xref ref-type="fig" rid="F2">Figure 2F</xref>).</p>
</sec>
<sec>
<title>Taxonomy Assignment</title>
<p>The obtained 2005 OTUs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>, <xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2</xref>) were classified into 33 phyla (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 5</xref>, <xref ref-type="fig" rid="F3">Figure 3</xref>), 81 classes (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 6</xref>), 203 orders (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 7</xref>), 286 families (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 8</xref>), 447 genera (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 9</xref>, <xref ref-type="fig" rid="F4">Figure 4A</xref>), and 194 species (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 10</xref>, <xref ref-type="fig" rid="F4">Figure 4B</xref>). Within the obtained 2005 OTUs, 605 of them were shared (common OTUs) by females of different mating types (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2</xref>). The abundance pattern at the phylum level showed that Proteobacteria are the predominant bacterial phylum in <italic>S. frugiperda</italic>, with Multiple showing the highest percentage (90.94%), followed by Repeated with 88.99%, then Single with 86.38%, and Virgin showing the lowest percentage (82.14%) (<xref ref-type="fig" rid="F3">Figure 3</xref>). The second and third dominant Phyla are Firmicutes and Bacteroidota, and both of them showed the highest abundance in virgin females (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Taxonomy assignment of bacterial OTUs at the phylum level in <italic>S. frugiperda</italic> females of different mating types. <bold>(A)</bold> The abundance pattern of the top 10 phyla. <bold>(B)</bold> A clearer display of the relative abundance of the 3rd to the 10th phylum.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-878856-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Taxonomy assignment of bacterial OTUs at the genus and species levels in <italic>S. frugiperda</italic> females of different mating types. <bold>(A)</bold> The abundance pattern at the genus level (top 10). <bold>(B)</bold> The abundance pattern at the species level (top 10).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-878856-g0004.tif"/>
</fig>
<p>OTUs on the genus level (<xref ref-type="fig" rid="F4">Figure 4A</xref>) indicated that <italic>Enterococcus</italic> (12.88%), <italic>Enterobacter</italic> (7.99%), and <italic>Pseudomonas</italic> (6.48%) are the first three dominant genera in Virgin, while in Single are <italic>Enterobacter</italic> (6.30%), <italic>Enterococcus</italic> (6.20%), and <italic>Asaia</italic> (3.47%), in Multiple are <italic>Morganella</italic> (7.76%), <italic>Serratia</italic> (6.82%), and <italic>Enterococcus</italic> (6.01%), and in Repeated are <italic>Enterococcus</italic> (7.72%), <italic>Enterobacter</italic> (3.54%), and <italic>Asaia</italic> (1.59%), indicating remarkable difference on bacterial composition in females from different mating types. The prominent difference on the genus level within females from different mating types is that <italic>Morganella</italic> (7.76%) and <italic>Serratia</italic> (6.82%) are the most dominant genera in Multiple, while in the other mating types their abundance is much lower (0.09&#x02013;1.17%) (<xref ref-type="fig" rid="F4">Figure 4A</xref>).</p>
<p>OTU clustering into the species level (<xref ref-type="fig" rid="F4">Figure 4B</xref>) disclosed that <italic>Enterococcus mundtii</italic> showed a higher abundance in Virgin (10.90%) than in the other mating types (2.19&#x02013;4.50%), whereby <italic>Morganella morganii</italic> and <italic>Serratia marcescens</italic> showed higher abundance in Multiple (7.76 and 6.67%) than in the other mating types (0.26&#x02013;1.16 and 0.09&#x02013;0.80%).</p>
</sec>
<sec>
<title>Functional Prediction Using FAPROTAX</title>
<p>FAPROTAX was used to evaluate the potential functional differences between different mating types. The predominant function is chemoheterotrophy (responsible for an average 11.33&#x02013;17.92% of the total annotated functions) in all mating types, followed by fermentation (6.08&#x02013;12.17%), animal parasites or symbionts (4.66% to 7.76%), and aerobic chemoheterotrophy (3.66&#x02013;5.94%), and Virgin showed relative higher abundant in all of these functions (<xref ref-type="fig" rid="F5">Figure 5A</xref>, <xref ref-type="supplementary-material" rid="SM3">Supplementary Figure 3</xref>). The most variable function predicted by FAPROTAX is human pathogens (<xref ref-type="fig" rid="F5">Figure 5A</xref>, <xref ref-type="supplementary-material" rid="SM3">Supplementary Figure 3</xref>), where Multiple showed the highest abundance on this function (6.94%), followed by Repeated (2.39%), and then Virgin (1.82%), and Single showed the lowest abundance on this function (1.53%).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Functional prediction of bacteria in <italic>S. frugiperda</italic> females of different mating types. <bold>(A)</bold> The relative abundance of dominate bacterial functional groups (top 10) distribution predicted by FAPROTAX; <bold>(B)</bold> the relative abundance of possible pathogens; <bold>(C)</bold> the relative abundance of possible beneficial bacteria (bacteria that are beneficial for their hosts).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-878856-g0005.tif"/>
</fig>
</sec>
<sec>
<title>Pathogen and Beneficial Bacteria Profiles</title>
<p>Based on the above taxonomy assignment and functional prediction, the possible pathogens and beneficial bacteria were further evaluated based on evidence from published studies. A total of 17 animal pathogens were found, with three of them being insect pathogens and others being pathogens of human and other animal taxa (<xref ref-type="table" rid="T1">Table 1</xref>). Twelve beneficial bacterial species were found, including eight species from <italic>Lactobacillus</italic>, two species from <italic>Buchnera</italic>, one species from <italic>Proteus</italic>, and one species from <italic>Enterococcus</italic> (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Possible pathogens and beneficial bacteria<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> profiles in <italic>S. frugiperda</italic>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Functional group</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Taxonomy</bold></th>
<th valign="top" align="left"><bold>Functional annotation</bold></th>
<th valign="top" align="left"><bold>Reference</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="left"><bold>Phylum</bold></th>
<th valign="top" align="left"><bold>Order</bold></th>
<th valign="top" align="left"><bold>Species</bold></th>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Pathogen</td>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Morganella morganii</italic></td>
<td valign="top" align="left">Insect pathogen</td>
<td valign="top" align="left">Salas et al., <xref ref-type="bibr" rid="B64">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Serratia marcescens</italic></td>
<td valign="top" align="left">Insect pathogen</td>
<td valign="top" align="left">Maciel-Vergara et al., <xref ref-type="bibr" rid="B44">2018</xref>; Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Pseudomonadales</td>
<td valign="top" align="left"><italic>Pseudomonas aeruginosa</italic></td>
<td valign="top" align="left">Insect pathogen</td>
<td valign="top" align="left">Maciel-Vergara et al., <xref ref-type="bibr" rid="B44">2018</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Serratia liquefaciens</italic></td>
<td valign="top" align="left">Animal pathogen</td>
<td valign="top" align="left">Momose et al., <xref ref-type="bibr" rid="B49">2018</xref>; Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Serratia</italic> spp. (OTU_1472)</td>
<td valign="top" align="left">Animal pathogen</td>
<td valign="top" align="left">Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref>; Au et al., <xref ref-type="bibr" rid="B8">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Proteus mirabilis</italic></td>
<td valign="top" align="left">Human pathogen</td>
<td valign="top" align="left">Armbruster et al., <xref ref-type="bibr" rid="B7">2018</xref>; Yuan et al., <xref ref-type="bibr" rid="B81">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Xanthomonadales</td>
<td valign="top" align="left"><italic>Stenotrophomonas maltophilia</italic></td>
<td valign="top" align="left">Human pathogen</td>
<td valign="top" align="left">Adegoke et al., <xref ref-type="bibr" rid="B2">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Xanthomonadales</td>
<td valign="top" align="left"><italic>Stenotrophomonas chelatiphaga</italic></td>
<td valign="top" align="left">Potential human pathogen</td>
<td valign="top" align="left">Patil et al., <xref ref-type="bibr" rid="B57">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Xanthomonadales</td>
<td valign="top" align="left"><italic>Stenotrophomonas rhizophila</italic></td>
<td valign="top" align="left">Potential human pathogen</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Xanthomonadales</td>
<td valign="top" align="left"><italic>Stenotrophomonas acidaminiphila</italic></td>
<td valign="top" align="left">Potential human pathogen</td>
<td valign="top" align="left">Huang et al., <xref ref-type="bibr" rid="B35">2018</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Pseudomonadales</td>
<td valign="top" align="left"><italic>Acinetobacter lwoffii</italic></td>
<td valign="top" align="left">Human and fish pathogen</td>
<td valign="top" align="left">Peleg et al., <xref ref-type="bibr" rid="B58">2008</xref>; Kozi&#x00144;ska et al., <xref ref-type="bibr" rid="B37">2014</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Pseudomonadales</td>
<td valign="top" align="left"><italic>Acinetobacter johnsonii</italic></td>
<td valign="top" align="left">Human and fish pathogen</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Pseudomonadales</td>
<td valign="top" align="left"><italic>Acinetobacter baylyi</italic></td>
<td valign="top" align="left">Human pathogen</td>
<td valign="top" align="left">Chen et al., <xref ref-type="bibr" rid="B20">2008</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Pseudomonadales</td>
<td valign="top" align="left"><italic>Moraxella osloensis</italic></td>
<td valign="top" align="left">Human pathogen</td>
<td valign="top" align="left">Maruyama et al., <xref ref-type="bibr" rid="B47">2018</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Bacillales</td>
<td valign="top" align="left"><italic>Bacillus anthracis</italic></td>
<td valign="top" align="left">Human pathogen</td>
<td valign="top" align="left">Passalacqua and Bergman, <xref ref-type="bibr" rid="B56">2006</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Bacteroidota</td>
<td valign="top" align="left">Bacteroidales</td>
<td valign="top" align="left"><italic>Bacteroides fragilis</italic></td>
<td valign="top" align="left">Human pathogen</td>
<td valign="top" align="left">Martin and Aziz, <xref ref-type="bibr" rid="B46">2009</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Erysipelotrichales</td>
<td valign="top" align="left"><italic>Clostridium spiroforme</italic></td>
<td valign="top" align="left">Human and rabbit pathogen</td>
<td valign="top" align="left">Agnoletti et al., <xref ref-type="bibr" rid="B3">2008</xref>; Carter et al., <xref ref-type="bibr" rid="B16">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">Beneficial bacteria</td>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Enterococcus mundtii</italic></td>
<td valign="top" align="left">Against entomopathogens</td>
<td valign="top" align="left">Shao et al., <xref ref-type="bibr" rid="B68">2017</xref>; Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus crustorum</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td valign="top" align="left">Schoenmakers et al., <xref ref-type="bibr" rid="B66">2019</xref>; Rowe et al., <xref ref-type="bibr" rid="B63">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus reuteri</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus johnsonii</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus plantarum</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus intestinalis</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus brevis</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus murinus</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Firmicutes</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left"><italic>Lactobacillus mucosae</italic></td>
<td valign="top" align="left">Healthy vaginal microbiome</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Proteus mirabilis</italic></td>
<td valign="top" align="left">Colonization resistance</td>
<td valign="top" align="left">Dillon and Dillon, <xref ref-type="bibr" rid="B22">2004</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Buchnera</italic> spp. (OTU_455)</td>
<td valign="top" align="left">Nutritional contributions</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Proteobacteria</td>
<td valign="top" align="left">Enterobacterales</td>
<td valign="top" align="left"><italic>Buchnera</italic> spp. (OTU_1643)</td>
<td valign="top" align="left">Nutritional contributions</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>&#x0002A;</label><p><italic>Bacteria that are beneficial for their hosts</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Statistics indicated that the Multiple has the most abundance on pathogens (16.65%), which is more than five times than that of the other mating types (1.26&#x02013;2.81%) (<xref ref-type="fig" rid="F5">Figure 5B</xref>). On the contrary, Multiple showed the lowest abundance on beneficial bacteria (see <xref ref-type="fig" rid="F4">Figure 4B</xref> for <italic>Enterococcus mundtii</italic> and <xref ref-type="fig" rid="F5">Figure 5C</xref> for other beneficial bacteria).</p>
<p>Linear discriminant analysis (LDA) also showed remarkable differences on the number and taxon of microbial biomarkers between different mating types. More microbiomes were detected as important biomarkers in Virgin and Multiple than in Single and Repeated, with one beneficial bacteria (<italic>Enterococcus mundtii</italic>) showing in the Virgin while two pathogens (<italic>Morganella morganii</italic> and <italic>Serratia marcescens</italic>) in the Multiple (<xref ref-type="fig" rid="F6">Figure 6</xref>). The OTUs represented in each population also were illustrated by phylogenetic levels from phylum to genus in the cladogram (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figure 4</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Important biomarkers of bacterial communities in <italic>S. frugiperda</italic> females of different mating types revealed by linear discriminant analysis (LDA).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-878856-g0006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The microbiomes associated with animal reproduction are opportunistic and/or sexually transmittable, which may affect host immune defense and future colonization of other microorganisms. Only a few studies have studied the microbiomes in the reproductive organs and guts in insects (Wang et al., <xref ref-type="bibr" rid="B73">2014</xref>; Otti et al., <xref ref-type="bibr" rid="B54">2017</xref>; Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>) and tested the effect of mating on the composition of microbiomes (Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>). In this study, we considered the symbiotic microbiomes in the abdomen as a whole in a community context and tested the diversity and abundance of microbiomes under different mating conditions (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<p>Beta-diversity analysis based on Bray&#x02013;Curtis distance showed significant variances in the composition of OTUs in females with different mating statuses (<xref ref-type="fig" rid="F2">Figures 2D&#x02013;F</xref>), suggesting that mating significantly affected the composition of microbiomes in the abdomen of <italic>S. frugiperda</italic> females. The composition of genital microbiomes of females should be more affected by the sexual transmission of bacterial strains, via male genitalia and the ejaculate, and by bacteria transferred from the cuticle to the reproductive duct during and after mating (Lange et al., <xref ref-type="bibr" rid="B39">2013</xref>; Reinhardt et al., <xref ref-type="bibr" rid="B62">2015</xref>). Moreover, these invading bacteria may enter the hemolymph and other organs via reproductive duct and copulatory wounds (Lange et al., <xref ref-type="bibr" rid="B39">2013</xref>; Reinhardt et al., <xref ref-type="bibr" rid="B62">2015</xref>; Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>). Previous studies in a number of insect species have found pronounced differences in the microbiomes of reproductive organs between females and males (Wang et al., <xref ref-type="bibr" rid="B73">2014</xref>; Otti et al., <xref ref-type="bibr" rid="B54">2017</xref>; Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>). Bellinvia et al. (<xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>) further demonstrated that bacteria are sexually transmitted in the common bedbug, <italic>C. lectularius</italic>. However, results in <italic>C. lectularius</italic> show that mating did not cause significant effect on alpha diversity of bacteria in the reproductive organs (Bellinvia et al., <xref ref-type="bibr" rid="B12">2020b</xref>). In this study, alpha diversity indicated that the OTU diversity was significantly different in <italic>S. frugiperda</italic> females with different mating statuses, and mated females showed significant lower diversity than virgin females (<xref ref-type="fig" rid="F2">Figure 2A</xref>) and in more details, virgin females have the highest diversity, followed by one-time mated females and females mated with multiple males, while females mated repeatedly showed the lowest diversity (<xref ref-type="fig" rid="F2">Figures 2B,C</xref>). On the one hand, mating is likely to promote the diversity of microbes due to sexual transmission (Bellinvia et al., <xref ref-type="bibr" rid="B11">2020a</xref>,<xref ref-type="bibr" rid="B12">b</xref>). On the other hand, mating may upregulate female immune responses (Oku et al., <xref ref-type="bibr" rid="B53">2019</xref>), particularly in females with polygamous mating systems (Okada et al., <xref ref-type="bibr" rid="B52">2017</xref>; Oku et al., <xref ref-type="bibr" rid="B53">2019</xref>), which may affect the composition and diversity of microbes inside their bodies. In our study, females mated repeatedly with the same mates showed the lowest diversity (<xref ref-type="fig" rid="F2">Figures 2B,C</xref>), which may be due to lower sexual transmission as only mated with one male but higher immune response from repeated matings.</p>
<p>In this study, the obtained 2005 OTUs were classified into 33 phyla, with Proteobacteria, Firmicutes, and Bacteroidota being the first three dominant phyla (<xref ref-type="fig" rid="F3">Figure 3</xref>). Matings further increased the abundance of Proteobacteria (up to 90%) but decreased the abundance of Firmicutes and Bacteroidota (<xref ref-type="fig" rid="F3">Figure 3</xref>). In the citrus fruit fly, <italic>Bactrocera minax</italic>, 16S rDNA sequencing revealed that Proteobacteria were dominant in gut and reproductive organs (Wang et al., <xref ref-type="bibr" rid="B73">2014</xref>). Other studies have also found an abundance of Proteobacteria in various insect species, such as the sawfly <italic>Cephalcia chuxiongica</italic> (Yu et al., <xref ref-type="bibr" rid="B80">2021</xref>), the desert locust <italic>Schistocerca gregaria</italic> (Dillon et al., <xref ref-type="bibr" rid="B23">2010</xref>), the <italic>Lutzomyia</italic> sand fly (Sant&#x00027;anna et al., <xref ref-type="bibr" rid="B65">2012</xref>), and two ground beetles (Lundgren et al., <xref ref-type="bibr" rid="B43">2007</xref>). Proteobacteria may play important roles in insects, such as help insects to fix nitrogen and preventing the establishment or proliferation of pathogenic bacteria (Dillon and Dillon, <xref ref-type="bibr" rid="B22">2004</xref>; Dixon and Kahn, <xref ref-type="bibr" rid="B25">2004</xref>; Behar et al., <xref ref-type="bibr" rid="B10">2005</xref>). OTUs clustering into the genus (<xref ref-type="fig" rid="F4">Figure 4A</xref>) also revealed significant differences in females from different mating types. For example, <italic>Morganella</italic> and <italic>Serratia</italic> are the most dominant genus in multiple mated females, while in other mating types their abundances are much lower. Further, <italic>Enterococcus mundtii</italic> showed a higher abundance in virgin females than in females from the other mating types, while <italic>Morganella morganii</italic> and <italic>Serratia marcescens</italic> showed higher abundances in multiple mated females than in females from the other mating types (<xref ref-type="fig" rid="F4">Figure 4B</xref>). Species from <italic>Enterococcus</italic> may play a protective role against insect pathogens in the lepidopteran intestine (Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref>). For example, <italic>E. faecalis</italic> found in the gypsy moth can acidify its local environment to facilitate it colonize alkaline niches, which may help to host against pathogenic toxins that are activated in alkaline conditions, such as those from <italic>Bacillus thuringiensis</italic> (Broderick et al., <xref ref-type="bibr" rid="B13">2004</xref>). <italic>E. mundtii</italic> is a highly abundant bacterium in the gut of <italic>S. littoralis</italic>, which is known to produce antimicrobial compounds that act against gram-positive pathogens (such as <italic>Listeria</italic>), but not against resident gut bacteria (Shao et al., <xref ref-type="bibr" rid="B68">2017</xref>; Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref>). <italic>M. morganii</italic> is a lethal pathogen of Mexican fruit fly larvae (Salas et al., <xref ref-type="bibr" rid="B64">2017</xref>).</p>
<p>Some common gut bacterial inhabitants can be beneficial or detrimental depending on the community composition of the gut. <italic>Serratia</italic> spp. is one of such bacteria, which is a genus known to be pathogenic in many animals including insects (Chadwick et al., <xref ref-type="bibr" rid="B17">1990</xref>; Ishii et al., <xref ref-type="bibr" rid="B36">2014</xref>; Momose et al., <xref ref-type="bibr" rid="B49">2018</xref>; Voirol et al., <xref ref-type="bibr" rid="B72">2018</xref>). For example, the SM1 strain of <italic>S. marcescens</italic> was highly toxic to the black-winged termite, <italic>Odontotermes formosanus</italic>, probably through the production of insecticidal protease and metalloproteinases (Fu et al., <xref ref-type="bibr" rid="B33">2021</xref>). <italic>Serratia</italic> spp. are commonly reported in lepidopterans, while their roles are unclear in terms of detrimental or beneficial effects (Broderick et al., <xref ref-type="bibr" rid="B13">2004</xref>). Future studies should evaluate whether such bacteria exert no negative effects or provide benefits on insect health depending on the composition of the entire insect microbial community and whether they switch from a symbiont to a systemic pathogen when the environmental condition is altered, such as postmating.</p>
<p>Functional prediction by FAPROTAX also disclosed a most variable on the function of human pathogens all in <italic>S. frugiperda</italic> females from different mating types, where females mated with multiple males showed higher abundance on this function than females from other mating types (<xref ref-type="fig" rid="F5">Figure 5A</xref>, <xref ref-type="supplementary-material" rid="SM3">Supplementary Figure 3</xref>).</p>
<p>Due to the turnover on beneficial and detrimental microbiomes between virgin and multiple mated females found by taxonomy assignment and functional prediction by FAPROTAX, the possible pathogens and beneficial bacteria were further determined based on evidence from previous studies. The FAPROTAX and evidence-based double checking ensure the credibility of the functional evaluation of bacteria. Three insect pathogenic species and 14 pathogenic species from human and other animal taxa were verified by previous published studies (<xref ref-type="table" rid="T1">Table 1</xref>). Twelve beneficial bacterial species from four genera, <italic>Lactobacillus, Buchnera, Proteus</italic>, and <italic>Enterococcus</italic>, were also verified by published studies (<xref ref-type="table" rid="T1">Table 1</xref>). <italic>Buchnera</italic> has been implicated in various nutritional and non-nutritional functions in insects, such as provisioning of essential amino acids and nitrogen recycling (Douglas, <xref ref-type="bibr" rid="B27">1998</xref>; Dillon and Dillon, <xref ref-type="bibr" rid="B22">2004</xref>). Studies in human found that the <italic>Lactobacillus</italic> spp. are beneficial vaginal microbiomes, which may function in barring against pathogen adhesion, production of lactic acid against the colonization of pathogens, and stimulating host defense responses (Ravel et al., <xref ref-type="bibr" rid="B61">2011</xref>; Chen et al., <xref ref-type="bibr" rid="B18">2017</xref>; Tachedjian et al., <xref ref-type="bibr" rid="B70">2017</xref>; Younes et al., <xref ref-type="bibr" rid="B79">2018</xref>). The function of <italic>Lactobacillus</italic> spp. in insects is still unclear and thus warrants further studies.</p>
<p>Statistics showed that females mated with multiple males have the highest abundance on pathogens (more than five times than that of females from the other mating types) (<xref ref-type="fig" rid="F5">Figure 5B</xref>) while they have the lowest abundance on beneficial bacteria (<xref ref-type="fig" rid="F4">Figures 4B</xref>, <xref ref-type="fig" rid="F5">5C</xref>) in comparison with that of females from the other mating types. Moreover, LDA demonstrates that the <italic>Enterococcus mundtii</italic> (a beneficial bacterium) is one of the important biomarkers in virgin females, whereas <italic>Morganella morganii</italic> and <italic>Serratia marcescens</italic> (pathogens) are two of the important biomarkers in multiple mated females (<xref ref-type="fig" rid="F6">Figure 6</xref>), further supporting the hypothesis that promiscuity turned over the abundance of beneficial and detrimental microbiomes in <italic>S. frugiperda</italic> females.</p>
<p>However, whether and how these possible pathogens and beneficial bacteria affect the health and reproduction of <italic>S. frugiperda</italic> still needs to be validated by further studies. Moreover, future studies by comparing microbiomes of reproductive organs and non-reproductive organs of both sexes under different mating conditions are expected to achieve deeper insight in this field.</p>
</sec>
<sec sec-type="data-availability" id="s5">
<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="s9">Supplementary Material</xref>.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>L-YZ and HYu collected the insects. L-YZ, D-YF, and JX designed the study. L-YZ, HYu, and D-YF dissected the insects and extracted DNA. L-YZ, SY, HYe, and JX analyzed the data. L-YZ, JX, and HYe wrote the paper. All authors read and approved the final manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>This study was jointly supported by projects from Science and Technology Planning Project in Key Areas of Yunnan Province (202001BB050002), Basic Research Projects of Yunnan Province (202201AS070025), Joint Special Project of Yunnan Province for Agricultural Basic Research (2018FG001-002), and National Natural Science Foundation Program of P.R. China (31760635, 31560606).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="s8">
<title>Publisher&#x00027;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>
</body>
<back>
<sec sec-type="supplementary-material" id="s9">
<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/fmicb.2022.878856/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2022.878856/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.xlsx" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_1.TIFF" id="SM1" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>Rarefaction curves represent observed OTUs in different samples.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.TIF" id="SM2" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 2</label>
<caption><p>The Venn <bold>(A)</bold> and petals <bold>(B)</bold> diagrams of OTUs from different mating types.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.TIF" id="SM3" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 3</label>
<caption><p>The heat map of bacterial functions (top 35) in the FAPROTAX database for <italic>S. frugiperda</italic> females. The samples are grouped according to the similarity of each other. Different colors indicate the relative abundance of groups in the individual samples, wherein red represents the function with higher abundance, and blue represents the function with lower abundance in the corresponding sample.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_4.TIF" id="SM4" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 4</label>
<caption><p>Cladogram of the LDA results, where rings from the inner to outer indicate phylum, class, order, family, and genus, respectively.</p></caption>
</supplementary-material>
</sec>
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