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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2023.1115350</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparative transcriptome analysis of <italic>Peromyscus leucopus</italic> and C3H mice infected with the Lyme disease pathogen</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gaber</surname>
<given-names>Alhussien M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2149666"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mandric</surname>
<given-names>Igor</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1516903"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nitirahardjo</surname>
<given-names>Caroline</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Piontkivska</surname>
<given-names>Helen</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/33596"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hillhouse</surname>
<given-names>Andrew E.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/657638"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Threadgill</surname>
<given-names>David W.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1883000"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zelikovsky</surname>
<given-names>Alex</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/34234"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rogovskyy</surname>
<given-names>Artem S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1926738"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&amp;M University</institution>, <addr-line>College Station, TX</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Computer Science, Georgia State University</institution>, <addr-line>Atlanta, GA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Biological Sciences, and School of Biomedical Sciences, Kent State University</institution>, <addr-line>Kent, OH</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Brain Health Research Institute, Kent State University</institution>, <addr-line>Kent, OH</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Texas A&amp;M Institute for Genomics Sciences and Society, Texas A&amp;M University</institution>, <addr-line>College Station, TX</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Molecular and Cellular Medicine, Texas A&amp;M University Health Science Center, Texas A&amp;M University</institution>, <addr-line>College Station, TX</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Armin Alaedini, Columbia University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Maria Kazimirova, Slovak Academy of Sciences, Slovakia; Alan Barbour, University of California, Irvine, United States; Yi-Pin Lin, Wadsworth Center, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Artem S. Rogovskyy, <email xlink:href="mailto:arogovskyy@tamu.edu">arogovskyy@tamu.edu</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Bacteria and Host, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1115350</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Gaber, Mandric, Nitirahardjo, Piontkivska, Hillhouse, Threadgill, Zelikovsky and Rogovskyy</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Gaber, Mandric, Nitirahardjo, Piontkivska, Hillhouse, Threadgill, Zelikovsky and Rogovskyy</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>Lyme disease (LD), the most prevalent tick-borne disease of humans in the Northern Hemisphere, is caused by the spirochetal bacterium of <italic>Borreliella burgdorferi</italic> (<italic>Bb</italic>) sensu lato complex. In nature, <italic>Bb</italic> spirochetes are continuously transmitted between <italic>Ixodes</italic> ticks and mammalian or avian reservoir hosts. <italic>Peromyscus leucopus</italic> mice are considered the primary mammalian reservoir of <italic>Bb</italic> in the United States. Earlier studies demonstrated that experimentally infected <italic>P. leucopus</italic> mice do not develop disease. In contrast, C3H mice, a widely used laboratory strain of <italic>Mus musculus</italic> in the LD field, develop severe Lyme arthritis. To date, the exact tolerance mechanism of <italic>P. leucopus</italic> mice to <italic>Bb</italic>-induced infection remains unknown. To address this knowledge gap, the present study has compared spleen transcriptomes of <italic>P. leucopus</italic> and C3H/HeJ mice infected with <italic>Bb</italic> strain 297 with those of their respective uninfected controls. Overall, the data showed that the spleen transcriptome of <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice was much more quiescent compared to that of the infected C3H mice. To date, the current investigation is one of the few that have examined the transcriptome response of natural reservoir hosts to <italic>Borreliella</italic> infection. Although the experimental design of this study significantly differed from those of two previous investigations, the collective results of the current and published studies have consistently demonstrated very limited transcriptomic responses of different reservoir hosts to the persistent infection of LD pathogens.</p>
<sec>
<title>Importance</title>
<p>The bacterium <italic>Borreliella burgdorferi</italic> (<italic>Bb</italic>) causes Lyme disease, which is one of the emerging and highly debilitating human diseases in countries of the Northern Hemisphere. In nature, <italic>Bb</italic> spirochetes are maintained between hard ticks of <italic>Ixodes</italic> spp. and mammals or birds. In the United States, the white-footed mouse, <italic>Peromyscus leucopus</italic>, is one of the main <italic>Bb</italic> reservoirs. In contrast to humans and laboratory mice (e.g., C3H mice), white-footed mice rarely develop clinical signs (disease) despite being (persistently) infected with <italic>Bb</italic>. How the white-footed mouse tolerates <italic>Bb</italic> infection is the question that the present study has attempted to address. Comparisons of genetic responses between <italic>Bb</italic>-infected and uninfected mice demonstrated that, during a long-term <italic>Bb</italic> infection, C3H mice reacted much stronger, whereas <italic>P. leucopus</italic> mice were relatively unresponsive.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Lyme borreliosis</kwd>
<kwd>
<italic>Borreliella burgdorferi</italic>
</kwd>
<kwd>
<italic>Borrelia</italic>
</kwd>
<kwd>
<italic>Peromyscus leucopus</italic>
</kwd>
<kwd>C3H mice</kwd>
<kwd>differentially expressed genes</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Institute of Allergy and Infectious Diseases<named-content content-type="fundref-id">10.13039/100000060</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="86"/>
<page-count count="10"/>
<word-count count="5344"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Lyme disease (LD) is the most prevalent tick-borne disease in North America and Europe with an estimate of ~476,000 annual cases in the United States (U.S.) alone (<xref ref-type="bibr" rid="B49">Mead, 2015</xref>; <xref ref-type="bibr" rid="B36">Kugeler et&#xa0;al., 2021</xref>). LD is caused by some members of <italic>Borreliella burgdorferi</italic> (<italic>Bb</italic>) sensu lato complex, which is divided into more than 20 genospecies. At least three genospecies (<italic>Borreliella afzelii</italic>, <italic>Bb</italic> sensu stricto<italic>, Borreliella garinii</italic>) have the capacity to cause LD in humans (<xref ref-type="bibr" rid="B4">Baranton et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B20">Canica et&#xa0;al., 1993</xref>; <xref ref-type="bibr" rid="B37">Kurtenbach et&#xa0;al., 2006</xref>). The horizontal transmission of LD is mediated by hard ticks of <italic>Ixodes</italic> spp., which acquire spirochetes from <italic>Bb</italic>-infected vertebrate carriers such as rodents and birds (<xref ref-type="bibr" rid="B57">Piesman and Gern, 2004</xref>; <xref ref-type="bibr" rid="B5">Barbour and Gupta, 2021</xref>). In the U.S., the white-footed mouse, <italic>Peromyscus leucopus</italic>, is considered the main mammalian reservoir of <italic>Bb</italic> spirochetes (<xref ref-type="bibr" rid="B40">Levine et&#xa0;al., 1985</xref>; <xref ref-type="bibr" rid="B24">Donahue et&#xa0;al., 1987</xref>). Clinical signs of LD patients are often flu-like symptoms that can be followed by arthritis and neurological or cardiac abnormalities (<xref ref-type="bibr" rid="B69">Smith et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B61">Radolf et&#xa0;al., 2021</xref>).</p>
<p>When <italic>Bb</italic> infects mammals, innate immune effectors such as toll-like receptor (TLR) 2 and myeloid differentiation antigen 88 (MyD88) become fully engaged (<xref ref-type="bibr" rid="B34">Hirschfeld et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B79">Wooten et&#xa0;al., 2002a</xref>; <xref ref-type="bibr" rid="B80">Wooten et&#xa0;al., 2002b</xref>; <xref ref-type="bibr" rid="B12">Bolz et&#xa0;al., 2004</xref>). MyD88 subsequently activates a toll/IL-1 receptor-domain-containing adapter-inducing interferon-&#x3b2; (TRIF) signaling (<xref ref-type="bibr" rid="B54">Petnicki-Ocwieja et&#xa0;al., 2013</xref>). Moreover, <italic>Bb</italic> outer surface lipoproteins lead to activation of nuclear factor kappa-light-chain-enhancer (NF-&#x3ba;B) (<xref ref-type="bibr" rid="B81">Wooten et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B25">Ebnet et&#xa0;al., 1997</xref>). This cascade leads to secretion of pro-inflammatory cytokines and chemokines for neutrophils, monocytes, and lymphocytes during LD infection in mice (<xref ref-type="bibr" rid="B82">Wooten and Weis, 2001</xref>; <xref ref-type="bibr" rid="B77">Verhaegh et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B11">Bockenstedt et&#xa0;al., 2021</xref>). The mounting immune response is also accompanied by production of interferons (IFN), IFN&#x3b1; and IFN&#x3b2; (type I INF), and IFN&#x3b3; in response to <italic>Bb</italic> antigens (<xref ref-type="bibr" rid="B30">Ganapamo et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B22">Crandall et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B50">Miller et&#xa0;al., 2008</xref>). As a result of the activated innate immune system, the acquired humoral immune response is developed, and this leads to lowering the spirochetal burden in various tissues (<xref ref-type="bibr" rid="B7">Barthold et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B48">McKisic and Barthold, 2000</xref>). In LD patients, Th1 lymphocytes and mononuclear cells mediate B lymphocyte production of neutralizing anti-<italic>Bb</italic> antibodies such as IgG1 and IgG3, which induce opsonization and activate complement defense mechanisms (<xref ref-type="bibr" rid="B33">Hechemy et&#xa0;al., 1988</xref>; <xref ref-type="bibr" rid="B11">Bockenstedt et&#xa0;al., 2021</xref>).</p>
<p>Similar to LD human patients, some laboratory mouse strains develop arthritis and carditis upon LD infection (<xref ref-type="bibr" rid="B6">Barthold et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B2">Armstrong et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B16">Brown and Reiner, 1999</xref>). The degree of susceptibility to <italic>Bb</italic>-induced arthritis in mice is predetermined by a number of factors including inter-strain genetic variability and the fitness variation of <italic>Bb</italic> strains (<xref ref-type="bibr" rid="B8">Barthold et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B46">Ma et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B31">Hanincov&#xe1; et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B41">Lin et&#xa0;al., 2014</xref>). The different capacity of mouse strains to regulate the localized inflammatory response is a major factor for the arthritis development (<xref ref-type="bibr" rid="B46">Ma et&#xa0;al., 1998</xref>). By using C3H/He mice, which develop severe Lyme arthritis (<xref ref-type="bibr" rid="B6">Barthold et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B8">Barthold et&#xa0;al., 1992</xref>), it was demonstrated that IFN&#x3b1; and IFN&#x3b2; have an important role during an early LD infection. The upregulation of the interferon responsive genes contributes to the pathogenesis of LD arthritis in C3H/He mice (<xref ref-type="bibr" rid="B22">Crandall et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B50">Miller et&#xa0;al., 2008</xref>). Type I INF response can also be associated with differential regulation of genes that are involved in tissue repair processes (<xref ref-type="bibr" rid="B22">Crandall et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B42">Lochhead et&#xa0;al., 2021</xref>). In contrast to C3H strains, C57BL/6 mice, which are deficient in an intense interferon response to <italic>Bb</italic> infection (<xref ref-type="bibr" rid="B22">Crandall et&#xa0;al., 2006</xref>), develop only mild Lyme arthritis (<xref ref-type="bibr" rid="B6">Barthold et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B22">Crandall et&#xa0;al., 2006</xref>). In addition to type I IFN, interleukin 10 (IL-10), an anti-inflammatory cytokine, has a crucial role in the regulation of arthritis severity (<xref ref-type="bibr" rid="B70">Sonderegger et&#xa0;al., 2012</xref>). C57BL/6 mice lacking IL-10 exhibit more severe arthritis upon LD infection as opposed to their <italic>Bb</italic>-infected wild-type C57BL/6 controls (<xref ref-type="bibr" rid="B17">Brown et&#xa0;al., 1999</xref>).</p>
<p>In contrast to C3H mice, previous studies demonstrated that experimentally <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice do not develop disease (<xref ref-type="bibr" rid="B66">Schwanz et&#xa0;al., 2011</xref>). Both <italic>Bb</italic>-infected and uninfected control <italic>P. leucopus</italic> mice were shown to have similar white blood cell counts and wheel-running activity (<xref ref-type="bibr" rid="B66">Schwanz et&#xa0;al., 2011</xref>). The resistance of persistently <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice to the disease was also shown to be age-dependent since only infant mice could develop carditis and multifocal arthritis upon <italic>Bb</italic> infection (<xref ref-type="bibr" rid="B51">Moody et&#xa0;al., 1994</xref>). Of note, however, the tolerance of white-footed mice to <italic>Bb</italic>-induced disease is not absolute. A previous study demonstrated that a fraction (e.g., ~7-10%) of wild-caught <italic>P. leucopus</italic> population had clinical signs of LD (<xref ref-type="bibr" rid="B19">Burgess et&#xa0;al., 1990</xref>). The lack of detectable LD in the majority of <italic>Bb</italic>-infected <italic>P. leucopus</italic> population can potentially be explained by a long-term co-existence between the host and the pathogen. The outcome of this host-pathogen adaptation is likely to have created a balance between the strong but non-sterilizing immune response of reservoir hosts (<xref ref-type="bibr" rid="B65">Schwan et&#xa0;al., 1989</xref>; <xref ref-type="bibr" rid="B9">Baum&#xa0;et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B21">Cook and Barbour, 2015</xref>; <xref ref-type="bibr" rid="B62">Rogovskyy et&#xa0;al., 2015</xref>) and the persistent presence of <italic>Bb</italic> spirochetes. Unfortunately, to date, the exact factors and mechanism of tolerance or susceptibility of <italic>P. leucopus</italic> mice to <italic>Bb</italic>-induced disease are unknown. In the present study, we have explored infection-induced changes in gene expression to understand how <italic>P. leucopus</italic> mice are able to tolerate <italic>Bb</italic> infection. For that, we compared responses to <italic>Bb</italic> infection between <italic>P. leucopus</italic> and <italic>Mus musculus</italic> (C3H/HeJ, referred to here as C3H) mice at the transcriptomic level. The overall data showed that the spleen transcriptome of <italic>P. leucopus</italic> mice was much more quiescent compared to that of the C3H mice.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Bacterial strain</title>
<p>
<italic>Borreliella burgdorferi</italic> strain 297 was a generous gift of Troy Bankhead. Spirochetes were grown in liquid Barbour-Stoenner-Kelly medium supplemented with 6% rabbit serum (referred to here as BSK-II; Gemini Bio-Products, CA, USA) and incubated at 35&#xb0;C under 2% CO<sub>2</sub>.</p>
</sec>
<sec id="s2_2">
<title>Mouse experiment</title>
<p>Six males of <italic>P. leucopus</italic> mice acquired from The Peromyscus Genetic Stock Center (the University of South Carolina, SC, USA) and 6 males of C3H/HeJ (C3H) mice purchased from The Jackson Laboratory (Bar Harbor, ME, USA) were split into 4 groups of three mice each. After an adaptation period, each of 3 <italic>P. leucopus</italic> (5-8 weeks of age) and 3 C3H (4-6 weeks of age) mice was subcutaneously (s.c.) inoculated in the shoulder region with 100-&#x3bc;l inoculum containing ~1.0 x10<sup>5</sup> cells of <italic>B. burgdorferi</italic> 297. The remaining 6 animals (uninfected controls) that were within the respective age range were s.c. inoculated with 100 &#x3bc;l of sterile saline.</p>
<p>To confirm the infection, ~50 &#x3bc;l of blood samples taken <italic>via</italic> maxillary bleed from the 6 <italic>Bb</italic>-inoculated mice at day 7 postinoculation (pi) were cultured in BSK-II at 35&#xb0;C under 2% CO<sub>2</sub>. At day 70 pi, ear pinnae, bladder, tibiotarsal joint, and heart tissues were harvested from both infected and uninfected groups of mice and cultured in BSK-II as described (<xref ref-type="bibr" rid="B63">Rogovskyy et&#xa0;al., 2016</xref>). Dark-field microscopy was utilized on a weekly basis over a four-week period to examine tissue cultures for the presence or absence of viable spirochetes (<xref ref-type="supplementary-material" rid="SF3">
<bold>Table S1</bold>
</xref>). At day 70 pi, spleens were also harvested from the 12 mice. All spleens were individually preserved in Invitrogen RNAlater stabilization solution (Thermo Fisher Scientific, MA, USA) and stored at - 80&#xb0;C until RNA extraction.</p>
</sec>
<sec id="s2_3">
<title>RNA extraction, library preparation, and sequencing</title>
<p>Total RNA from spleen tissues was isolated by using QIAGEN RNeasy Mini Kit (QIAGEN, CA, USA) according to manufacturer&#x2019;s instruction. The quality and concentration of the RNA samples were determined by using Agilent Tapestation 2200 system on the RNA screen tape (Agilent Technologies, CA, USA) and Qubit Broad Range flurometric assay (Thermo Fisher Scientific, MA, USA), respectively. All RNA samples were normalized to 80 ng/&#x3bc;L for input into the Illumina TruSeq Stranded mRNA LS library preparation kit (Illumina, CA, USA). Individual libraries were constructed and barcoded according to the manufacturer&#x2019;s protocol (Illumina). Sequencing library quality was assessed <italic>via</italic> Agilent TapeStation 2200 D1000 DNA screen tape (Agilent Technologies) showing a final library size of approximately 270 bp and were quantified with the Qubit High Sensitivity dsDNA assay (Thermo Fisher Scientific). All libraries were normalized and pooled in equimolar concentration for sequencing on an Illumina NextSeq 500 75 cycle High Output kit to generate approximately 400 million 75 base-pair, single-end sequencing reads (approximately 33 million reads per sample). All raw data was uploaded to Illumina BaseSpace (basespace.illumina.com) for FASTQ generation and demultiplexing of sequencing reads for their respective samples. All sequences were deposited to the GenBank Sequence Read Archive (SRA) and their SRA accession numbers are as follows: SAMN32740077, SAMN32740078, SAMN32740079, SAMN32740080, SAMN32740081, SAMN32740082, SAMN32740083, SAMN32740084, SAMN32740085, SAMN32740086, SAMN32740087, SAMN32740088.</p>
</sec>
<sec id="s2_4">
<title>Reads mapping</title>
<p>Single reads were trimmed and mapped by STAR (version 020201) (<xref ref-type="bibr" rid="B23">Dobin et&#xa0;al., 2013</xref>) to <italic>Peromyscus leucopus</italic> (white-footed mouse) draft genome assembly (UCI_PerLeu_2.1; BioProject PRJNA533285 <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/assembly/GCF_004664715.2">https://www.ncbi.nlm.nih.gov/assembly/GCF_004664715.2</ext-link>) (<xref ref-type="bibr" rid="B43">Long et&#xa0;al., 2019</xref>), and to <italic>Mus musculus</italic> C3H/HeJ strain (C3H_HeJ_v1; BioProject PRJNA310854; <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/assembly/GCA_001632575.1/">https://www.ncbi.nlm.nih.gov/assembly/GCA_001632575.1/</ext-link>). To facilitate functional annotation and pathways analyses, once <italic>Peromyscus</italic> reads were mapped to the UCI_PerLeu_2.1 assembly, the respective gene IDs were converted to mouse mm38 assembly IDs (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/assembly/GCF_000001635.20/">https://www.ncbi.nlm.nih.gov/assembly/GCF_000001635.20/</ext-link>) using TBLASTN because the latter had more extensive functional and gene ontology annotations as the most frequently used mouse reference genome. The identified genes were also cross-referenced with the human genome assembly GRCh38.p13 using Ensembl BioMart tools (<ext-link ext-link-type="uri" xlink:href="http://ensembl.org/biomart/martview">http://ensembl.org/biomart/martview</ext-link>). BAM files were combined for each mouse (in other words, each sample was represented by a single BAM file), and expression of each gene was inferred by HTSeq-count (<xref ref-type="bibr" rid="B59">Putri et&#xa0;al., 2022</xref>) followed by DESeq2 analysis (<xref ref-type="bibr" rid="B44">Love et&#xa0;al., 2014b</xref>). Transcript counts and R code for differential gene expression analysis are available at <ext-link ext-link-type="uri" xlink:href="https://github.com/RNAdetective/Bb_Pleu-C3H_study">https://github.com/RNAdetective/Bb_Pleu-C3H_study</ext-link>.</p>
</sec>
<sec id="s2_5">
<title>Identification and pathway analyses of differentially expressed genes</title>
<p>Differential gene expression analysis was performed using DESeq2 (<xref ref-type="bibr" rid="B44">Love et&#xa0;al., 2014b</xref>). The P values were adjusted by the Benjamini&#x2013;Hochberg method (<xref ref-type="bibr" rid="B10">Benjamini and Hochberg, 1995</xref>). A corrected P value (padj) of 0.05 and 0.1 and log2 fold change (FC) of 2 and 1.5 were set as the strict and relaxed thresholds for differentially expressed genes (DEGs), respectively. To better understand the biological significance of identified DEGs, functional annotation of DEGs, and their interaction relationships were examined using STRING database analysis (string-db.org) (<xref ref-type="bibr" rid="B78">von Mering et&#xa0;al., 2005</xref>), which considered both direct physical interactions as well as indirect interactions through participation in the same pathways. The functional enrichment analyses of DEGs were carried out using the relaxed cutoffs, where a medium confidence score of 0.4 was used. Their connection degree and correlation were shown in the interaction network. Additional functional annotation and pathway enrichment analyses were conducted using the Reactome and InnateDB (<xref ref-type="bibr" rid="B68">Sidiropoulos et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B27">Fabregat et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B35">Jassal et&#xa0;al., 2020</xref>). The latter is a specialized database specifically tailored toward capturing interactions linked with the innate immune response (<xref ref-type="bibr" rid="B14">Breuer et&#xa0;al., 2013</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Differentially expressed genes identified in the spleen transcriptome of <italic>Bb</italic>-infected <italic>P. leucopus</italic> and C3H mice</title>
<p>When only the strict cut-off values were considered (padj 0.05/2 FC), 34 DEGs were identified in the spleen transcriptome of <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice relative to their uninfected control group. Out of the 34 DEGs, 12 and 22 genes were found to be up- and down-regulated, respectively (<xref ref-type="supplementary-material" rid="SF4">
<bold>Tables S2</bold>
</xref>, <xref ref-type="supplementary-material" rid="SF5">
<bold>S3</bold>
</xref>). Additional 47 DEGs were detected using relaxed cut-off values (padj 0.1/1.5 FC). Thus, a total of 35 (<xref ref-type="supplementary-material" rid="SF4">
<bold>Table S2</bold>
</xref>) and 46 (<xref ref-type="supplementary-material" rid="SF5">
<bold>Table S3</bold>
</xref>) genes were up- and down-regulated in <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice, respectively. For <italic>Bb</italic>-infected C3H mice, 421 DEGs, which included 159 up-regulated and 262 down-regulated genes, were identified when relaxed cut-off values were considered. Of the 421 DEGs, 92 genes had strict cut-off values with 39 up-regulated and 53 down-regulated DEGs (<xref ref-type="supplementary-material" rid="SF6">
<bold>Tables S4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SF7">
<bold>S5</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>Pathway analyses of differentially expressed genes identified in the spleen transcriptome of <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice by the Reactome and InnateDB</title>
<p>To better understand functional changes associated with the <italic>Bb</italic> infection in <italic>P. leucopus</italic> mice, the genes that were homologous between <italic>P. leucopus</italic> and the reference mouse mm38 genome were identified using BLASTN, because the latter had more comprehensive functional annotations than what was available for <italic>P. leucopus</italic>. Thus, a total of 53 (15 up-regulated and 38 down-regulated) DEGs identified in <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice that also had homologs in the mouse genome were subjected to the Reactome and InnateDB pathway analyses in order to identify whether these genes shared common functional annotations and/or pathways (<xref ref-type="bibr" rid="B14">Breuer et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B68">Sidiropoulos et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B27">Fabregat et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B35">Jassal et&#xa0;al., 2020</xref>).</p>
<p>The data showed that the top 5 significant pathways detected through the Reactome were associated with the following: erythrocyte uptake of oxygen and release of carbon dioxide, erythrocyte uptake of carbon dioxide and release of oxygen, O<sub>2</sub>/CO<sub>2</sub> exchange in erythrocytes, hydroxycarboxylic acid-binding receptors and auto-degradation of Cdh1 by Cdh1:APC/C (ST3). Moreover, the pathway overrepresentation analysis in the InnateDB (<xref ref-type="bibr" rid="B14">Breuer et&#xa0;al., 2013</xref>) identified the following top 5 overrepresented pathways (a corrected P value of &lt; 0.05): hepatitis C, protein processing in endoplasmic reticulum, adipocytokine signaling pathway, peroxisome proliferator-activated receptor (PPAR) signaling pathway, and TLR signaling pathway.</p>
</sec>
<sec id="s3_3">
<title>Pathway analyses of differentially expressed genes identified in the spleen transcriptome of <italic>Bb</italic>-infected C3H mice by the Reactome and InnateDB</title>
<p>A total of 159 up-regulated and 262 down-regulated DEGs detected in <italic>Bb</italic>-infected C3H mice were also subjected to the Reactome pathway and InnateDB network analyses. The top 5 significant pathways identified for the up-regulated genes <italic>via</italic> the Reactome were associated with cell cycle, cell cycle check points, activation of ATM- and Rad3-related (ATR) kinase in response to replication stress, cell cycle miotic, and activation of the pre-replicative complex. The InnateDB analysis of the up-regulated genes resulted in identification of the top 5 significant pathways associated with cell cycle, cell cycle mitotics, G1/S-specific transcription, G2/M checkpoints, and activation of ATR kinase in response to replication stress.</p>
<p>Pathways associated with platelet activation, signaling and aggregation, nitric oxide stimulation of guanylate cyclase, hemostasis, platelet adhesion to exposed collagen, and formation of fibrin clot (clotting cascade) were detected by the Reactome analysis for the down-regulated DEGs. Lastly, the top 5 significant pathways identified for the down-regulated genes <italic>via</italic> the InnateDB network were related to hemostasis, nitric oxide stimulation of guanylate cyclase, platelet homeostasis, platelet activation, signaling and aggregation, and platelet adhesion to exposed collagen.</p>
</sec>
<sec id="s3_4">
<title>Pathway analyses of differentially expressed genes shared by both <italic>Bb</italic>-infected mouse species</title>
<p>Only 3 DEGs were commonly identified for both <italic>Bb</italic>-infected mouse species. The HMGB3 gene encoding High Mobility Group Protein B3 was up- and down-regulated in infected C3H and <italic>P. leucopus</italic> mice, respectively. The top 10 interactors of the network identified by STRING for HMGB3 are shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The Slc16a2 gene, which encodes solute carrier family 16 member 2 (monocarboxylate transporter 8) was down- and up-regulated in <italic>Bb</italic>-infected C3H and <italic>P. leucopus</italic> mice, respectively. The top 10 interactors of the Slc16a2 network are indicated in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. Lastly, the pathway analysis of the trypsin 5 (Try5)-encoding gene, which was up-regulated in both <italic>Bb</italic>-infected <italic>P. leucopus</italic> and C3H mice, identified the top 10 interactors of Try5 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The protein-protein interaction network of HMGB3. The protein-protein interaction analyses were performed using the STRING database. Shown are HMGB3 (High Mobility Group Protein B3) and its top 10 protein interactors (listed clockwise): Ager (Advanced glycosylation end product-specific receptor), Smarca1, Smarca2, and Smarca4 (SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily A members 1, 2 and 4, respectively), Numa1 (Nuclear mitotic apparatus protein 1), Supt16 (Component of the FACT complex), Anp32e (Acidic leucine-rich nuclear phosphoprotein 32 family member E protein), PsiP1 (PC4 and SFRS1-interacting protein), Metap2 (Methionine aminopeptidase), and Denr (Density-regulated protein). Different line colors represent different types of interaction evidence between the proteins.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1115350-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The protein-protein interaction network of Slc16a2. The protein-protein interaction analyses were performed using the STRING database. Shown are Slc16a2 (Solute carrier family 16 member 2 (Monocarboxylate transporter 8)) and its top 10 protein interactors (listed clockwise): Slco1c1 (Solute carrier organic anion transporter family member 1C1), Slc16a10 (Solute carrier family 16 member 10), Slco1a6 (Solute carrier organic anion transporter family member 1A6), Slco4a1 (Solute carrier organic anion transporter family member 4A1), Slco1b2 (Solute carrier organic anion transporter family member 1B2), Ttr (Transthyretin), Dio2 (Thyroxine 5-deiodinase type II), Thrb (Thyroid hormone receptors beta), Thra (Thyroid hormone receptors alpha), and Dio3 (Deiodinase, iodothyronine type III). Different line colors represent different types of interaction evidence between the proteins.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1115350-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The protein-protein interaction network of Try5. The protein-protein interaction analyses were performed using the STRING database. Shown are Try5 (Trypsin 5) and its top 10 protein interactors (listed clockwise): Reg3a (Regenerating islet-derived 3 alpha), Reg3b (Regenerating islet-derived 3 beta), Reg3g (Regenerating islet-derived 3 gamma), Mmp7 (Matrix metallopeptidase 7), Mmp10 (Matrix metallopeptidase 10), Ctrb1 (Chymotrypsinogen B1), Cpa1 (Carboxypeptidase A1), Ctrc (Chymotrypsin C), Prss2 (Protease, serine 2), and Reg3d (Regenerating islet-derived 3 delta). Different line colors represent different types of interaction evidence between the proteins.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1115350-g003.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Protein-protein interaction analyses by STRING</title>
<p>In order to better understand the biological functions of DEGs, protein-protein (PPI) interaction analyses were performed using the STRING database (<xref ref-type="bibr" rid="B71">Szklarczyk et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B72">Szklarczyk et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B73">Szklarczyk et&#xa0;al., 2021b</xref>). The STRING PPI analysis was utilized to detect functionally associated proteins and their interconnections (<xref ref-type="bibr" rid="B71">Szklarczyk et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B72">Szklarczyk et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B73">Szklarczyk et&#xa0;al., 2021b</xref>). Consequently, protein networks were constructed to show potential relationships of DEGs with different pathways.</p>
<p>When DEG categories were considered separately, the functional enrichment analysis of the 35 genes up-regulated in <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice demonstrated only a few protein-protein interactions (15 nodes and 3 edges). In contrast, when the 46 down-regulated genes were analyzed, the network included a total of 32 nodes and 76 edges with 14 proteins related to immune system process pathways. Of the 14 proteins, 11, 8, and 3 proteins were found to be specifically associated with innate immune response, viral defense response, and positive regulation of type I INF production, respectively (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The latter pathway also included genes encoding TLR7, signal transducer and activator of transcription 1 (STAT1), and ATP-dependent RNA helicase (DHX58).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The protein-protein interaction network of down-regulated genes detected in <italic>Borreliella burgdorferi</italic>-infected <italic>Peromyscus leucopus</italic> mice. The protein-protein interaction analyses of 46 down-regulated genes identified in the spleen transcriptome of <italic>B burgdorferi</italic>-infected <italic>P. leucopus</italic> mice compared to their uninfected controls were performed using the STRING database. Colored are 14 proteins that are related to immune system process pathways (red), of which 11, 8, and 3 proteins are specifically associated with innate immune response (green), viral defense response (yellow), and positive regulation of type I INF production (blue), respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1115350-g004.tif"/>
</fig>
<p>When the entire set of 81 DEGs identified in <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice was considered, the STRING analysis demonstrated significant enrichment of functional interactions among these genes (P value of &lt; 0.1.0e-16), and overrepresentation of the following Gene Ontology (GO) molecular function terms: heterocyclic compound binding (25 genes), organic cyclic compound binding (25 genes), RNA binding (12 genes), double-stranded RNA binding (5 genes), and 2-5-oligoadenylate synthetase activity (2 genes) (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1</bold>
</xref>).</p>
<p>The STRING analysis of the 159 genes up-regulated in <italic>Bb</italic>-infected C3H mice identified 148 nodes and 1,551 edges in the network. In tissue expression and biological process terms, a total of 44 and 4 proteins were associated with immune system and B cell activation, respectively. Furthermore, in biological process term, 50 and 60 proteins were found to be related to pathways of cell cycle and cellular response to stimulus, respectively.</p>
<p>A total of 391 nodes and 2,095 edges were constructed by STRING for the 421 DEGs identified in <italic>Bb</italic>-infected C3H mice. In biological process term, some DEGs were enriched in the blood coagulation pathway (n=18). Out of 10 genes, whose proteins were associated with the regulation of blood coagulation, 9 and 1 genes were down- and up-regulated, respectively. The up-regulated gene encodes chymotrypsin-like elastase family member 2A (Cela2a). A total of 9 genes were associated with the platelet activation pathway, of which 8 and 1 genes were down- and up-regulated, respectively. The up-regulated gene encodes CD40 ligand (Cd40lg). When down-regulated genes were only considered (n=262), a total of 245 nodes and 407 edges were constructed by STRING with identification of 38 homeostasis-associated proteins <italic>via</italic> the Reactome (<xref ref-type="supplementary-material" rid="SF2">
<bold>Figure S2</bold>
</xref>). In biological process term, the STRING analysis showed that down-regulated genes were also enriched in wound healing (n=22), regulation of wound healing (n=11), response to stimulus (n=136), and response to stress (n=64).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the present investigation, comparative transcriptomic analyses of spleens harvested from <italic>Bb</italic>-infected and uninfected <italic>P. leucopus</italic> mice have been performed. The spleen was selected because it is one of the major lymphoid organs that together with the bone marrow contains most immune cells (<xref ref-type="bibr" rid="B84">Zhao et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B15">Bronte and Pittet, 2013</xref>). The experimental design also included the laboratory &#x201c;control&#x201d; mouse strain &#x2013; <italic>Bb</italic>-infected and uninfected C3H mice. To understand how <italic>P. leucopus</italic> mice are able to tolerate <italic>Bb</italic> infection, the transcriptome data generated from spleens of infected and uninfected mice were analyzed within each animal species by three complementing bio-molecular tools. The overall data demonstrated that <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice had five times lower number of DEGs (n=81) than infected C3H mice (n=421). Out of the 81 DEGs, approximately 57% (n=46) and 43% (n=35) of genes were found to be down- and up-regulated, respectively. As opposed to the 46 down-regulated genes, many of whom were associated with immune response, the 35 up-regulated genes were not related to any immune response pathways. The overall data demonstrated that the <italic>Bb</italic>-induced response of the spleen transcriptome was more quiescent in <italic>P. leucopus</italic> mice compared to that of C3H mice.</p>
<p>The present results are similar to the findings of a previous study, where the spleen transcriptome analyses of <italic>B. afzelii</italic>-infected and uninfected bank voles (<italic>Myodes glareolus</italic>) and yellow-necked mice (<italic>Apodemus flavicollis</italic>) were performed (<xref ref-type="bibr" rid="B85">Zhong et&#xa0;al., 2020</xref>). Although both animal species are considered natural reservoir hosts of <italic>B. afzelii</italic> in Europe (<xref ref-type="bibr" rid="B86">Zhong et&#xa0;al., 2019</xref>), <italic>Borreliella</italic>-infected bank voles have on average a magnitude higher spirochetal loads in their tissues (<xref ref-type="bibr" rid="B60">Raberg, 2012</xref>; <xref ref-type="bibr" rid="B86">Zhong et&#xa0;al., 2019</xref>). The comparative analyses between infected and uninfected animals within each species identified only 8 and 5 DEGs in <italic>B. afzelii</italic>-infected bank voles and yellow-necked mice, respectively (<xref ref-type="bibr" rid="B85">Zhong et&#xa0;al., 2020</xref>). Furthermore, similar to the current data, other study had also shown no significant involvement of inflammation or innate immunity genes, when transcriptomes of skin and blood samples taken at 5 weeks postinfection were compared between <italic>Bb</italic> strain Sh-2-82-infected and uninfected <italic>P. leucopus</italic> mice (<xref ref-type="bibr" rid="B43">Long et&#xa0;al., 2019</xref>). Overall, the current and previous results could collectively suggest that reservoir hosts of LD pathogens moderate the immune system to avoid development of exaggerated (immune) responses.</p>
<p>A few examples of immune related genes that, during the persistent <italic>Bb</italic> infection, were down-regulated in <italic>P. leucopus</italic> mice and remained unresponsive in C3H mice include TLR7-encoding gene, type I IFN-associated genes, and members of the lymphocyte antigen-6 (<italic>Ly6</italic>) gene family. TLR7 recognizes bacterial RNA and peptidoglycan, and becomes activated in response to bacterial exposure by dendritic cells (DCs) (<xref ref-type="bibr" rid="B47">Mancuso et&#xa0;al., 2009</xref>). It was shown that TLR7 mRNA became up-regulated in <italic>Bb-</italic>exposed human oligodendrocyte cell line (<xref ref-type="bibr" rid="B53">Parthasarathy and Philipp, 2018</xref>). Overall, activation of TLRs by <italic>Bb</italic> lipoproteins leads to the induction of type I IFN (<xref ref-type="bibr" rid="B55">Petzke et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B45">Love et&#xa0;al., 2014a</xref>; <xref ref-type="bibr" rid="B42">Lochhead et&#xa0;al., 2021</xref>), which in turn primes macrophages for producing proinflammatory cytokines (<xref ref-type="bibr" rid="B11">Bockenstedt et&#xa0;al., 2021</xref>).</p>
<p>Through the use of laboratory mouse strains of <italic>Mus musculus</italic>, it has been consistently demonstrated that the severity of LD arthritis is driven by type I IFN (<xref ref-type="bibr" rid="B22">Crandall et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B50">Miller et&#xa0;al., 2008</xref>). Early type I IFN induction also positively correlates with the <italic>Bb</italic> capacity to disseminate in C3H/HeJ mice (<xref ref-type="bibr" rid="B56">Petzke et&#xa0;al., 2016</xref>). Type I IFN signaling may also lead to the accumulation of na&#xef;ve B lymphocytes in <italic>Bb</italic>-infected mice (<xref ref-type="bibr" rid="B32">Hastey et&#xa0;al., 2014</xref>). Surprisingly, the present study did not identify any DEGs associated with the interferon signaling pathways in <italic>Bb</italic>-infected C3H mice. The latter cannot be solely explained by the lack of a functional TLR4 pathway in this particular mouse strain (<xref ref-type="bibr" rid="B58">Poltorak et&#xa0;al., 1998</xref>), partly because the classic enterobacterium-type lipopolysaccharide (LPS) (<xref ref-type="bibr" rid="B18">Brubaker et&#xa0;al., 2015</xref>), one of TLR4 ligands, is not produced by <italic>Bb</italic> spirochetes (<xref ref-type="bibr" rid="B74">Takayama et&#xa0;al., 1987</xref>). In contrast, a number of types I IFN-associated genes (n=6) were down-regulated in <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice. These findings are consistent with the previous study, which demonstrated that a set of genes involved in IFN&#x3b1; signaling was down-regulated in <italic>B. afzelii</italic>-infected bank voles and yellow-necked mice compared to their uninfected controls (<xref ref-type="bibr" rid="B85">Zhong et&#xa0;al., 2020</xref>). In addition to type I IFN-associated genes, two members of <italic>Ly6</italic> gene family were also found to be down-regulated in <italic>Bb</italic>-infected <italic>P. leucopus</italic> mice. The 6E and 6A-2/6E-1-like proteins are known to be expressed by different types of mouse and human immune cells (e.g., B and T lymphocytes, natural killer (NK) cells, monocytes, and DCs) and involved in regulation of activation, proliferation, and differentiation of T lymphocytes (<xref ref-type="bibr" rid="B52">Ortega et&#xa0;al., 1986</xref>; <xref ref-type="bibr" rid="B75">Toulon et&#xa0;al., 1988</xref>; <xref ref-type="bibr" rid="B39">Lee et&#xa0;al., 2013</xref>).</p>
<p>Notably, of the 421 DEGs identified in <italic>Bb</italic>-infected C3H mice, a number of genes (n=38) were associated with different aspects of hemostasis. In the blood coagulation pathway alone, there were a total of 19 down-regulated genes with some involved in the regulation of blood coagulation (n=10) and others associated with platelet activation (n=9). Similar results were obtained by an earlier study, where blood, spleen and liver transcriptomes of LPS-treated-treated <italic>Mus musculus</italic> (BALB/cAnNCrl, referred here as BALB/c) and <italic>P. leucopus</italic> mice were compared to their respective non-treated controls (<xref ref-type="bibr" rid="B3">Balderrama-Gutierrez et&#xa0;al., 2021</xref>). The previous data showed that it was only in the blood of LPS-treated BALB/c mice where DEGs associated with negative regulation of blood coagulation pathways were detected (<xref ref-type="bibr" rid="B3">Balderrama-Gutierrez et&#xa0;al., 2021</xref>). The present study also demonstrated that the Cela2a and Cd40lg genes were up-regulated only in <italic>Bb</italic>-infected C3H mice. Cela2a hydrolyzes elastin and reduces platelet hyperactivation (<xref ref-type="bibr" rid="B26">Esteghamat et&#xa0;al., 2019</xref>), and Cd40lg is involved in immunoglobulin class switching, activation of B cell and T cell proliferation, enhancement of IL10 production, and induction of NF-kappa-B production (<xref ref-type="bibr" rid="B1">Armitage et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B13">Borrow et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B76">Van Kooten and Banchereau, 1996</xref>). As opposed to <italic>P. leucopus</italic>, <italic>Bb</italic>-infected C3H mice had also an overabundance of up-regulated cell cycle genes (n=50), whose products are known to play an important role in the host immune response (e.g., macrophage expansion and antibody class switching) (<xref ref-type="bibr" rid="B38">Laphanuwat and Jirawatnotai, 2019</xref>).</p>
<p>Overall, there were only 3 DEGs that were commonly identified in both animal species when infected with <italic>Bb</italic> (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The HMGB3 gene was up- and down-regulated in <italic>Bb</italic>-infected C3H and <italic>P. leucopus</italic> mice, respectively. As multifunctional molecules, HMGB proteins are proposed to play a role in the nucleic-acid-mediated activation of innate immune responses (<xref ref-type="bibr" rid="B83">Yanai et&#xa0;al., 2009</xref>). Being part of the cytosolic receptor&#x2013;IRF3/NF-kB signaling pathway (<xref ref-type="bibr" rid="B83">Yanai et&#xa0;al., 2009</xref>), HMGB proteins can also stimulate TLR2, which, through its engagement with <italic>Bb</italic> lipoproteins, initiates expression of NF-&#x3ba;B-dependent cytokines (<xref ref-type="bibr" rid="B67">Shin et&#xa0;al., 2008</xref>). Another example of &#x201c;shared&#x201d; DEGs includes the Slc16a2 gene, which encodes solute carrier family 16 member 2 (monocarboxylate transporter 8) in <italic>P. leucopus</italic> and C3H mice. This active and specific thyroid hormone transporter mediates cellular uptake and transmembrane transporter activity of thyroxine (T4), triiodothyronine (T3), reverse triiodothyronine (rT3) and diidothyronine (<xref ref-type="bibr" rid="B28">Friesema et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B29">Friesema et&#xa0;al., 2005</xref>). Thyroid hormones have an important role in activation of neutrophils, NK cells, DCs, and B and T lymphocytes during infection (<xref ref-type="bibr" rid="B64">Rubingh et&#xa0;al., 2020</xref>). The corresponding genes were up- and down-regulated in <italic>Bb</italic>-infected <italic>P. leucopus</italic> and C3H mice, respectively. Lastly, both mouse species had only one &#x201c;shared&#x201d; gene up-regulated in response to <italic>Bb</italic> infection. The Try5 gene encodes anionic trypsin-2-like protein and trypsin 5 in <italic>P. leucopus</italic> and C3H mice, respectively.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>A list of genes that are deferentially expressed in both <italic>Borreliella burgdorferi</italic>-infected <italic>Peromyscus leucopus</italic> and C3H mice.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" colspan="2" align="center">Deferentially expressed genes (and their products) in infected mice compared to their uninfected controls</th>
</tr>
<tr>
<th valign="top" align="center">
<italic>P. leucopus</italic>
</th>
<th valign="top" align="center">C3H</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Up-regulated gene(s) in both infected species</bold>
</td>
<td valign="top" colspan="2" align="center">LOC114688085<break/>(Anionic trypsin-2-like)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Down-regulated gene(s) in both infected species</bold>
</td>
<td valign="top" colspan="2" align="center">Not detected</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gene(s) up-regulated in infected <italic>P. leucopus</italic> mice and down-regulated in infected C3H mice</bold>
</td>
<td valign="top" colspan="2" align="center">Slc16a2<break/>(Solute carrier family 16 member 2 (Monocarboxylate transporter 8))</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gene(s) down-regulated in infected <italic>P. leucopus</italic> and up-regulated in infected C3H mice</bold>
</td>
<td valign="top" colspan="2" align="center">HMGB3<break/>(High Mobility Group Protein B3)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Some limitations of this study include small sample sizes and the use of male mice only. Another caveat is that spirochetal burdens were not determined in spleens of the infected mice to see if potentially higher bacterial loads in C3H mice would explain overall higher numbers of DEGs identified in the laboratory mice compared to <italic>P. leucopus</italic> mice. In addition to addressing the above limitations, future studies are also warranted to confirm the identified DEGs through other approaches (e.g., qRT-PCR, proteomics).</p>
<p>In summary, the present investigation is one of the few that have examined the transcriptome response of mammalian reservoir hosts to <italic>Borreliella</italic> infection. Although the experimental design of this study is different from the above-mentioned earlier investigations (e.g., reservoir host, <italic>Borreliella</italic> strain, time point of harvest, tissue type analyzed), the collective results of all studies have consistently demonstrated a very limited response of natural reservoir hosts to the persistent infection of LD pathogens. In order to decipher tolerance mechanism of <italic>P. leucopus</italic> and other reservoir hosts to <italic>Bb</italic> infection, future investigations that would pursue some of the data leads identified in the present and earlier studies are highly warranted.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data presented in the study are deposited in the GenBank Sequence Read Archive (SRA) depository and the SRA accession numbers are SAMN32740077, SAMN32740078, SAMN32740079, SAMN32740080, SAMN32740081, SAMN32740082, SAMN32740083, SAMN32740084, SAMN32740085, SAMN32740086, SAMN32740087, SAMN32740088.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by the Institutional Animal Care and Use Committee of Texas A&amp;M University.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AG analyzed the data and produced the manuscript draft. AH performed sequencing and raw data assembly. IM and AZ were involved in the data analysis. CN and HP analyzed the data, contributed to the data visualization and writing of the manuscript. DT provided resources and contributed to the data analysis. AR concepted and developed the study, provided resources, oversaw the project, and wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The work at Texas A&amp;M University was partially supported by National Institutes of Health (NIH) grant R03AI135159-02, Department of Veterinary Pathobiology, Texas A&amp;M School of Veterinary Medicine and Biomedical Sciences, and Texas A&amp;M AgriLife. The analysis at Kent State University was partially supported by NIH National Institute on Aging award R21AG064479-01, and Brain Health Research Institute Pilot Award and Healthy Communities Research Initiative Launch Pad Award from Kent State University. The work at Georgia State University was partially supported by NIH grant 1R21CA241044-01A1, National Science Foundation grant IIS-2212508, and by Georgia State University Molecular Basis of Disease Fellowship.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank David C. Gillis for his assistance with the mouse experiment.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2023.1115350/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2023.1115350/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image_2.tif" id="SF2" mimetype="image/tiff"/>
<supplementary-material xlink:href="Table_1.docx" id="SF3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.xlsx" id="SF4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_3.xlsx" id="SF5" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_4.xlsx" id="SF6" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_5.xlsx" id="SF7" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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