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Mudskipper interleukin-34 modulates the functions of monocytes/macrophages via the colony-stimulating factor-1 receptor 1

Hai-Yu Shen Yan Zhou Qian-Jin Zhou Ming-Yun Li Jiong Chen

Hai-Yu Shen, Yan Zhou, Qian-Jin Zhou, Ming-Yun Li, Jiong Chen. Mudskipper interleukin-34 modulates the functions of monocytes/macrophages via the colony-stimulating factor-1 receptor 1. Zoological Research, 2020, 41(2): 123-137. doi: 10.24272/j.issn.2095-8137.2020.026
Citation: Hai-Yu Shen, Yan Zhou, Qian-Jin Zhou, Ming-Yun Li, Jiong Chen. Mudskipper interleukin-34 modulates the functions of monocytes/macrophages via the colony-stimulating factor-1 receptor 1. Zoological Research, 2020, 41(2): 123-137. doi: 10.24272/j.issn.2095-8137.2020.026

大弹涂鱼白细胞介素-34(IL-34)通过集落刺激因子-1受体1 (CSF-1R1) 调节单核/巨噬细胞功能的研究

doi: 10.24272/j.issn.2095-8137.2020.026

Mudskipper interleukin-34 modulates the functions of monocytes/macrophages via the colony-stimulating factor-1 receptor 1

Funds: The study was supported by the National Natural Science Foundation of China (31972821; 31772876), the Program of Zhejiang Provincial Natural Science Foundation of China (LZ18C190001), Science and Technology Department of Zhejiang Province (LGN18C180002), Natural Science Foundation of Ningbo City (2018A610342), and the K.C. Wong Magna Fund in Ningbo University
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  • 摘要: 新型细胞因子白细胞介素-34(interleukin-34,IL-34)通过与集落刺激因子-1受体(the colony-stimulating factor-1 receptor,CSF-1R)结合,在先天免疫和炎症中发挥重要作用。目前,关于鱼类IL-34功能的研究还非常有限。本研究鉴定了大弹涂鱼(Boleophthalmus pectinirostris)的IL-34(BpIL-34),在序列和结构与其它已知的IL-34相似,与石斑鱼(Epinephelus coioides)的同源关系最近。mRNA水平的研究发现,BpIL-34能组成型表达于大弹涂鱼的各个组织,以大脑表达水平最高;迟缓爱德华氏菌(Edwardsiella tarda)感染能上调各组织的表达。本研究表达并纯化了BpIL-34的成熟肽(rBpIL-34),制备了抗体。肽N-糖苷酶F酶解发现单核/巨噬细胞的BpIL-34被N-糖基化。体外实验发现rBpIL-34能够增强单核/巨噬细胞的吞噬和杀菌活性,促进肿瘤坏死因子α(BpTNF-α)和BpIL-1β等促炎细胞因子的表达。RNA干扰实验结果表明,敲低大弹涂鱼CSF-1R1(BpCSF-1R1)后,rBpIL-34介导的单核/巨噬细胞功能的强化表现被显著抑制;BpCSF-1R2不具备此功能。综上,BpIL-34能够通过BpCSF-1R1调节大弹涂鱼单核/巨噬细胞的功能。
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    Figure  1.  Multiple alignment of amino acid sequences of BpIL-34 and related fish IL-34 sequences

    Threshold for shading was >60%; similar residues are marked with a gray shadow, identical residues with a black shadow, and alignment gaps with “-”. BpIL-34: Mudskipper IL-34; DrIL-34: Zebrafish IL-34; OmIL-34: Rainbow trout IL-34; SaIL-34: Gilthead seabream IL-34; TrIL-34: Tiger puffer IL-34; SsIL-34: Atlantic salmon IL-34; IpIL-34: Channel catfish IL-34; CcIL-34: Common carp IL-34; OlIL-34: Japanese rice fish IL-34; EcIL-34: Orange-spotted grouper IL-34. Predicted cleavage site for signal peptide is marked as “↓”. Five conserved cysteine residues are marked as “*”. Two cysteine residues joined by solid line represent disulfide bond. Possible N-linked glycosylation sites of BpIL-34 are indicated by “▼”. RKx [R/K] K motif is double underlined. GenBank accession Nos. of sequences used are presented in Table 1.

    Figure  2.  Phylogenetic tree analysis of complete amino acid sequences of IL-34 and CSF-1 using neighbor-joining method

    CSF-1 sequences as an outgroup. Percentage of bootstrap values is shown next to branches based on 1 000 bootstrap replications (shown only when >60%). Scale bar represents number of substitutions per base position. Site of mudskipper IL-34 is indicated by “▲”. GenBank accession Nos. of sequences used are listed in Table 1.

    Figure  3.  qRT-PCR analysis of BpIL-34 mRNA expression in tissues of healthy (A) and Edwardsiella tarda-infected mudskippers (B–E)

    A: BpIL-34 mRNA expression relative to that of Bp18S rRNA was calculated using 2−ΔCT method. Values denoted by different letters are significantly different when compared by ANOVA (P<0.05); n=4. B–E: BpIL-34 mRNA expression relative to that of Bp18S rRNA was calculated using 2−ΔΔCT method. Tissues were collected at 4, 8, 12, and 24 h after bacterial infection. Data are expressed as means±SEM; n=4, *: P<0.05.

    Figure  4.  Prokaryotic expression and Western blot analysis of BpIL-34

    A: SDS-PAGE analysis of prokaryotically expressed rBpIL-34. Lane M: Protein marker; 1, 2: Crude protein extracts from BL21 (DE3) transformed with pET-28a-BpIL-34 plasmid before and after IPTG induction, respectively; 3: Purified rBpIL-34. B: Western blot analysis of BpIL-34 using anti-rBpIL-34 IgG. NC: Negative control; 4: Purified rBpIL-34; 5: Proteins extracted from mudskipper MOs/MФs; 6: Proteins extracted from mudskipper MOs/MФs with PNGase F digestion.

    Figure  5.  Effects of rBpIL-34 on phagocytosis and bacterial killing of Edwardsiella tarda by mudskipper MO/MΦs

    A: Effect of rBpIL-34 on phagocytosis of E. tarda by MOs/MΦs. Mudskipper MOs/MΦs were pre-treated with PBS or rBpIL-34 before adding FITC-E. tarda (MOI=10). After an additional 30 min incubation, phagocytosis of FITC-E. tarda was determined by flow cytometry. MFI is presented as fold-change over the value for PBS-treated group, which was assigned a unit of 100. B: Effect of rBpIL-34 on bacterial killing of E. tarda by MOs/MΦs. MOs/MΦs were infected with live E. tarda after treatment with PBS or rBpIL-34, and viability of E. tarda (MOI=10) was determined by qRT-PCR. Killing of E. tarda by mudskipper MOs/MФs was measured using CFU assay based on a standard curve. Data are expressed as means±SEM; n=4, *: P<0.05.

    Figure  6.  Effects of rBpIL-34 on mRNA expression of BpTNF-α (A), BpIL-1β (B), BpIL-6 (C), BpTGF-β (D), and BpIL-10 (E) in mudskipper MOs/MΦs

    MOs/MΦs were treated with rBpIL-34 for 12 h. PBS-treated group was used as the control. mRNA expression levels of selected cytokines were normalized to those of Bp18S rRNA. Data are expressed as means±SEM; n=4, *: P<0.05.

    Figure  7.  RNAi-mediated gene knockdown of BpCSF-1R1 and BpCSF-1R2 in mudskipper MOs/MФs

    A: qRT-PCR analysis of mRNA expression of BpCSF-1R1 and BpCSF-1R2 in primary MOs/MФs. B: qRT-PCR analysis of BpCSF-1R1 transcripts in BpCSF-1R1si- or BpCSF-1R2si-transfected MOs/MФs. C: qRT-PCR analysis of BpCSF-1R2 transcripts in BpCSF-1R1si- or BpCSF-1R2si-transfected MOs/MФs. MsiRNA-transfected MOs/MФs group was used as the control. mRNA levels of BpCSF-1R1 and BpCSF-1R2 were normalized to those of Bp18S rRNA. Data are expressed as means±SEM; n=4, *: P<0.05.

    Figure  8.  Effects of BpCSF-1R1 and BpCSF-1R2 knockdown on rBpIL-34-enhanced phagocytosis and bacterial killing of Edwardsiella tarda by mudskipper MOs/MΦs

    A: Effect of BpCSF-1R1 or BpCSF-1R2 knockdown on rBpIL-34-enhanced phagocytosis of E. tarda by mudskipper MOs/MΦs. After transfection with BpCSF-1R1si, BpCSF-1R2si, or MsiRNA (control) for 48 h, mudskipper MOs/MФs were treated with rBpIL-34 for 12 h. Normal MOs/MΦs treated with rBpIL-34 (rBpIL-34 group) were used as controls. Thereafter, FITC-E. tarda were added at a MOI of 10 and incubated for an additional 30 min. Phagocytosis of FITC-E. tarda was determined by flow cytometry. Mean fluorescence intensity (MFI) is presented as a fold-change over value for rBpIL-34 group, which was assigned a value of 100. B: Effect of BpCSF-1R1 and BpCSF-1R2 knockdown on rBpIL-34-enhanced bacterial killing of E. tarda by mudskipper MOs/MΦs. After transfection with BpCSF-1R1si, BpCSF-1R2si, or MsiRNA for 48 h, mudskipper MOs/MФs were treated with rBpIL-34 for 12 h. Normal MOs/MΦs treated with rBpIL-34 (rBpIL-34 group) were used as controls. Live E. tarda were added at a MOI of 10 and incubated for an additional 30 min. Killing of E. tarda by mudskipper MOs/MФs was measured using a CFU assay based on standard curve. Data are expressed as means±SEM; n=4, *: P<0.05.

    Figure  9.  Effects of BpCSF-1R1 and BpCSF-1R2 knockdown on rBpIL-34-altered mRNA expression of selected cytokines in MOs/MФs

    Mudskipper MOs/MФs were pre-treated with BpCSF-1R1si, BpCSF-1R2si, or MsiRNA (control) and further incubated with rBpIL-34 for 12 h. MsiRNA-treated group was used as the control. mRNA levels of BpTNF-α (A), BpIL-1β (B), BpIL-6 (C), BpTGF-β (D), and BpIL-10 (E) were normalized to those of Bp18S rRNA. Data are expressed as means±SEM; n=4, *: P<0.05.

    Table  1.   IL-34 and CSF-1 sequences used for multiple sequence alignment and phylogenetic tree analysis

    GenBank accession No.SpeciesGene
    Latin nameEnglish name
    XM_020935293Boleophthalmus pectinirostrisMudskipperIL-34
    NM_001128701Danio rerioZebrafishIL-34
    KM350155Epinephelus coioidesOrange-spotted grouperIL-34
    NM_001257301Oncorhynchus mykissRainbow troutIL-34
    XM_030427145Sparus aurataGilthead seabreamIL-34
    NM_001305607Takifugu rubripesTiger pufferIL-34
    XM_020104586Paralichthys olivaceusJapanese flounderIL-34
    XM_019360775Oreochromis niloticusNile tilapiaIL-34
    XM_010743578Larimichthys croceaLarge yellow croakerIL-34
    XM_014124241Salmo salarAtlantic salmonIL-34
    XM_017465109Ictalurus punctatusChannel catfishIL-34
    XM_019087026Cyprinus carpioCommon carpIL-34
    XM_011476357Oryzias latipesJapanese rice fishIL-34
    XM_027161223Tachysurus fulvidracoYellow catfishIL-34
    XM_013138989Esox luciusNorthern pikeIL-34
    XM_026287434Carassius auratusGoldfishIL-34
    XM_007249177Astyanax mexicanusMexican tetraIL-34
    MK297321Ctenopharyngodon idellaGrass carpIL-34
    XM_020456685Oncorhynchus kisutchCoho salmonIL-34
    XM_024802984Maylandia zebraZebra mbunaIL-34
    NM_152456Homo sapiensHumanIL-34
    NM_001135100Mus musculusMouseIL-34
    NM_001025766Rattus norvegicusRatIL-34
    NM_001285975Sus scrofaPigIL-34
    XM_022419217Canis lupus familiarisDogIL-34
    XM_023637306Equus caballusHorseIL-34
    XM_018260639Xenopus laevisAfrican clawed frogIL-34
    XM_003641892Gallus gallusChickenIL-34
    XM_019535589Crocodylus porosusCrocodileIL-34
    NM_001100324Bos taurusCattleIL-34
    NM_001114480Danio rerioZebrafishCSF-1
    NM_001080076Danio rerioZebrafishCSF-1-2
    NM_001124394Oncorhynchus mykissRainbow troutCSF-1
    NM_001160476Oncorhynchus mykissRainbow troutCSF-1-2
    KM350156Epinephelus coioidesOrange-spotted grouperCSF-1-2
    NM_001280600Xenopus laevisAfrican clawed frogCSF-1
    XM_017000369Homo sapiensHumanCSF-1
    XM_024984551Bos taurusCattleCSF-1
    XM_008761428Rattus norvegicusRatCSF-1
    NM_001113530Mus musculusMouseCSF-1
    NM_001193295Gallus gallusChickenCSF-1
    下载: 导出CSV

    Table  2.   Oligonucleotide primers used in the qRT-PCR analysis of mudskipper genes

    GeneGenBank accession No.PrimerNucleotide sequence (5′–3′)
    BpIL-34XM_020935293BpIL-34RFGCAGGAGCTTCCAGAGTCAG
    BpIL-34RRCCTCCAATGGGACCTGTCAC
    BpIL-1βKX492895BpIL-1βFACGAGTGGTGAATGTGGTCA
    BpIL-1βRGAACTGAGGTTGTGCTGCAA
    BpTNF-αKX492896BpTNF-αFGGACAACAACGAGATCGTGA
    BpTNF-αRGTTCCACCGTGTGACTGATG
    BpIL-6XM_020932674BpIL-6FGCAGCACGTCAGAAGATGAGA
    BpIL-6RTCTCTGAGAAACTCGTGCAGC
    BpTGF-βXM_020928521BpTGF-βFTCAAAGGACACTTGCACAGC
    BpTGF-βRCAGGGCCAAGATCTGTGAAT
    BpIL-10XM_020936977BpIL-10FGTGGAGGGGTTCCCTCTAAG
    BpIL-10RGTGCGGAGGTAAAAGCTCAG
    Bp18S rRNA KX492897Bp18SFGGCCGTTCTTAGTTGGTGGA
    Bp18SRCCCGGACATCTAAGGGCATC
    BpCSF-1R1XM_020921963BpCSF-1R1FGGCCCACGTGTAAGGAGAAT
    BpCSF-1R1RTACTCCTCCCTCTGCACCTC
    BpCSF-1R2XM_020941064BpCSF-1R2FGTCTTGAGGTTGGACTCGGG
    BpCSF-1R2RCTCACACCTGTCGGTGAGTC
    下载: 导出CSV
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  • 收稿日期:  2020-01-03
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Mudskipper interleukin-34 modulates the functions of monocytes/macrophages via the colony-stimulating factor-1 receptor 1

doi: 10.24272/j.issn.2095-8137.2020.026
    基金项目:  The study was supported by the National Natural Science Foundation of China (31972821; 31772876), the Program of Zhejiang Provincial Natural Science Foundation of China (LZ18C190001), Science and Technology Department of Zhejiang Province (LGN18C180002), Natural Science Foundation of Ningbo City (2018A610342), and the K.C. Wong Magna Fund in Ningbo University
    通讯作者: E-mail: mumu2325@163.comjchen1975@163.com

摘要: 新型细胞因子白细胞介素-34(interleukin-34,IL-34)通过与集落刺激因子-1受体(the colony-stimulating factor-1 receptor,CSF-1R)结合,在先天免疫和炎症中发挥重要作用。目前,关于鱼类IL-34功能的研究还非常有限。本研究鉴定了大弹涂鱼(Boleophthalmus pectinirostris)的IL-34(BpIL-34),在序列和结构与其它已知的IL-34相似,与石斑鱼(Epinephelus coioides)的同源关系最近。mRNA水平的研究发现,BpIL-34能组成型表达于大弹涂鱼的各个组织,以大脑表达水平最高;迟缓爱德华氏菌(Edwardsiella tarda)感染能上调各组织的表达。本研究表达并纯化了BpIL-34的成熟肽(rBpIL-34),制备了抗体。肽N-糖苷酶F酶解发现单核/巨噬细胞的BpIL-34被N-糖基化。体外实验发现rBpIL-34能够增强单核/巨噬细胞的吞噬和杀菌活性,促进肿瘤坏死因子α(BpTNF-α)和BpIL-1β等促炎细胞因子的表达。RNA干扰实验结果表明,敲低大弹涂鱼CSF-1R1(BpCSF-1R1)后,rBpIL-34介导的单核/巨噬细胞功能的强化表现被显著抑制;BpCSF-1R2不具备此功能。综上,BpIL-34能够通过BpCSF-1R1调节大弹涂鱼单核/巨噬细胞的功能。

English Abstract

沈海钰, 周燕, 周前进, 李明云, 陈炯. 大弹涂鱼白细胞介素-34(IL-34)通过集落刺激因子-1受体1 (CSF-1R1) 调节单核/巨噬细胞功能的研究[J]. 动物学研究, 2020, 41(2): 123-137. doi: 10.24272/j.issn.2095-8137.2020.026
引用本文: 沈海钰, 周燕, 周前进, 李明云, 陈炯. 大弹涂鱼白细胞介素-34(IL-34)通过集落刺激因子-1受体1 (CSF-1R1) 调节单核/巨噬细胞功能的研究[J]. 动物学研究, 2020, 41(2): 123-137. doi: 10.24272/j.issn.2095-8137.2020.026
Hai-Yu Shen, Yan Zhou, Qian-Jin Zhou, Ming-Yun Li, Jiong Chen. Mudskipper interleukin-34 modulates the functions of monocytes/macrophages via the colony-stimulating factor-1 receptor 1. Zoological Research, 2020, 41(2): 123-137. doi: 10.24272/j.issn.2095-8137.2020.026
Citation: Hai-Yu Shen, Yan Zhou, Qian-Jin Zhou, Ming-Yun Li, Jiong Chen. Mudskipper interleukin-34 modulates the functions of monocytes/macrophages via the colony-stimulating factor-1 receptor 1. Zoological Research, 2020, 41(2): 123-137. doi: 10.24272/j.issn.2095-8137.2020.026
    • Cytokines comprise a large group of proteins, peptides, and glycoproteins that are secreted by specific cells of the immune system to mediate and regulate immunity, inflammation, and hematopoiesis (Wang & Secombes, 2013; Zou & Secombes, 2016). There are many types of cytokines including chemokines, interferons, interleukins, lymphokines, and tumor necrosis factor. In recent years, considerable progress has been made in the cloning, sequencing, and functional analysis of fish cytokine genes (Ogryzko et al., 2014; Secombes & Zou, 2017; Wang & Secombes, 2013). Our increasing knowledge on the regulation of fish immune responses by cytokines and their potential use as candidate drugs for disease control in aquaculture makes fish cytokine biology an attractive and rapidly expanding field (Secombes, 2016).

      In a brilliant study that aimed to understand the system of secreted proteins and receptors involved in cell–cell signaling, interleukin 34 (IL-34), a secreted protein with high functional selectivity that stimulates monocyte survival, was identified as the second ligand of the colony-stimulating factor-1 receptor (CSF-1R) (Lin et al., 2008). The IL-34 structure is comprised of two β strands, four short helices, and four long helices, with an antiparallel four-helix core homologous to that of CSF-1 (Ma et al., 2012). CSF-1 is a cytokine that controls the production, differentiation, and function of macrophages, and CSF-1R mediates most, if not all, of the biological effects of CSF-1 (Liu et al., 2012; Nakamichi et al., 2013). IL-34 binds to CSF-1R with higher affinity than that of CSF-1 and induces the enhanced phosphorylation of CSF-1R and stronger activation of signaling pathways (Chihara et al., 2010). In addition, IL-34, but not CSF-1, binds to two other receptors, namely PTP-ζ and syndecan-1 (Baghdadi et al., 2018). PTP-ζ is a chondroitin sulfate proteoglycan, with expression restricted to the brain (neural progenitors and glial cells) and kidney (Masteller & Wong, 2014). IL-34 binds to the extracellular domains of PTP-ζ, resulting in the activation of several signaling pathways that regulate cell proliferation, motility, and clonogenicity (Baghdadi et al., 2018). The binding of IL-34 to syndecan-1 modulates the activation of CSF-1R and appears to be involved in the regulation of myeloid cell migration (Vasek et al., 2016). IL-34 and CSF-1 are equivalent in their ability to induce macrophage differentiation but exhibit different polarization potentials (Baghdadi et al., 2018). In contrast to CSF-1, IL-34 has a restricted pattern of expression (Nandi et al., 2012) and seems to be required for the generation of a restricted set of tissue-specific macrophages, including microglia and Langerhans cells, two types of phagocytes present in the brain and skin, respectively (Greter et al., 2012; Nakamichi et al., 2013; Wang et al., 2012). Over the past decade, accumulating evidence has shown that IL-34 exerts potent immunomodulatory effects under many pathological states such as infections, inflammatory diseases, autoimmune diseases, cancer, transplant rejection, and neurological diseases (Baghdadi et al., 2018; Grayfer & Robert, 2014, 2015; Kim & Turka, 2015; Masteller & Wong, 2014).

      In fish, single copies of the IL-34 gene have been found in the genome of rainbow trout (Oncorhynchus mykiss), zebrafish (Danio rerio), fugu (Takifugu rubripes), orange-spotted grouper (Epinephelus coioides), large yellow croaker (Larimichthys crocea), and grass carp (Ctenopharyngodon idella) (Mo et al., 2015; Wang et al., 2013, 2018; Xue et al., 2019). To date, however, information on the expression of IL-34 in fish is still limited. Analysis of gene expression in tissues showed that IL-34 is constitutively expressed in rainbow trout, large yellow croaker, and grass carp, with highest expression in the spleen (Wang et al., 2013, 2018; Xue et al., 2019); however, in orange-spotted grouper, the highest level of expression is reported in the brain (Mo et al., 2015). Furthermore, IL-34 expression is tightly associated with pathogen stimulation. For example, studies on rainbow trout and grouper have demonstrated that parasitic infection can lead to elevated IL-34 transcript levels in tissues, especially in infected sites (Mo et al., 2015; Wang et al., 2013). Stimulation by viral or bacterial pathogens has also been shown to up-regulate the expression of IL-34 in large yellow croaker (Wang et al., 2018), golden pompano (Trachinotus ovatus) (Wu et al., 2019), and grass carp (Xue et al., 2019). However, the functions and underlying mechanisms of IL-34 in fish immune responses remain unclear. Recent study showed that recombinant grass carp IL-34 produced in bacteria and HEK293T cells has a stimulatory effect on the expression of IL-1β, IL-6, and IL-8 but inhibits the expression of IL-10 and TGF-β in primary head kidney macrophages (Xue et al., 2019), suggesting that IL-34 is a pro-inflammatory cytokine. Another study on zebrafish showed that ectopically expressed IL-34 can induce macrophage migration to the liver in vivo (Jiang et al., 2019). As putative receptors for IL-34, CSF-1Rs have already been identified as specific markers of macrophages in some teleost fish species, such as gilthead seabream (Sparus aurata) (Roca et al., 2006), goldfish (Carassius auratus) (Katzenback & Belosevic, 2012), ayu (Plecoglossus altivelis) (Chen et al., 2016b), and grass carp (Chen et al., 2015). Unlike mammals, teleost fish commonly possess two CSF-1R genes (CSF-1R1 and CSF-1R2), which are widely expressed in tissues, including the head kidney and spleen (Chen et al., 2015, 2016b; Dan et al., 2013; Honda et al., 2005; Katzenback & Belosevic, 2012; Mulero et al., 2008; Williams et al., 2002). A soluble form of CSF-1R has also been described in goldfish, which is important in the regulation of leucocyte-related immune responses (Rieger et al., 2013, 2014, 2015). However, the relationship between IL-34 and CSF-1Rs in fish has not been investigated to date.

      Mudskipper fish (Boleophthalmus pectinirostris) are usually found in soft mudflat estuaries and coastal waters after ebb tides. Their behavioral, physiological, and morphological characteristics have become specialized and adapted to an amphibious lifestyle (You et al., 2018). The complete genomic sequences of mudskippers show many immune genes for adaptations to their complex habitats (You et al., 2014). Edwardsiella tarda is a gram-negative, facultative anaerobic bacterium that infects multifarious hosts, including fish, amphibians, and humans (Slaven et al., 2001; Xu & Zhang, 2014). Bacterial infections cause large aquacultural losses in Asia, especially in China and Japan (Xu & Zhang, 2014). Our previous report showed that intraperitoneal infection with E. tarda is lethal to mudskippers (Chen et al., 2016a). Given the importance of IL-34 in anti-bacterial innate immune responses, studies on the biological function and mechanism of IL-34 in mudskippers against E. tarda infection are crucial. In this study, we identified an IL-34 gene (BpIL-34) in mudskippers based on genomic sequences and investigated mRNA expression in the tissues of healthy and E. tarda-infected fish. Moreover, we prepared the recombinant mature peptide of BpIL-34 (rBpIL-34) and determined its effect on monocyte/macrophage (MO/MФ) functions, including phagocytosis, bactericidal activity, and cytokine mRNA expression. Furthermore, two mudskipper CSF-1R genes (BpCSF-1R1 and BpCSF-1R2) were identified, with the effect of BpCSF-1R1 and BpCSF-1R2 knockdown on BpIL-34-activated MO/MФ functions also investigated. These findings should provide new insights into IL-34 as a drug candidate for controlling biological diseases in fish.

    • Healthy mudskippers without visible pathological symptoms, weighing 35–40 g each, were purchased from a commercial farm in Ningbo city, China. The fish were kept at a salinity of 10 and temperature of 24–26 °C in a filtered-water recirculating system. The fish were allowed two weeks to acclimatize to laboratory conditions. In addition, they were randomly selected for polymerase chain reaction (PCR) determination of E. tarda in blood and liver with E. tarda-specific primers gyrBF (5′–TGGCGACACCGAGCAGA–3′) and gyrBR (5′–ACAAACGCCTTAATCCCACC–3′) and showed to be E. tarda-free (Guan et al., 2017). All experiments were performed according to the Experimental Animal Management Law of China and approved by the Animal Ethics Committee of Ningbo University.

    • The cDNA sequence of BpIL-34 was retrieved from our transcriptome data of mudskipper by BLAST search (http://blast.ncbi.nlm.nih.gov/Blast.cgi) and verified in mudskipper genomic sequences (You et al., 2014). The molecular weight and isoelectric point of putative BpIL-34 were calculated using the ExPASy Compute pI/MW tool (https://www.expasy.org/tools). SignalP 5.0 (http://www.cbs.dtu.dk/services/SignalP/) was used to predict the sequence of the signal peptide. SMART (http://smart.embl-heidelberg.de/) was used to predict the domain architecture of the putative protein. Potential N-glycosylation sites were predicted using the NetNGlyc1.0 Server (http://www.cbs.dtu.dk/services/NetNGlyc/). Multiple sequence alignments were performed and analyzed using ClustalW (http://clustalw.ddbj.nig.ac.jp/). Phylogenetic tree analysis was conducted with MEGA v5.0 (Tamura et al., 2011). The related IL-34 and CSF-1 sequences are listed in Table 1.

      Table 1.  IL-34 and CSF-1 sequences used for multiple sequence alignment and phylogenetic tree analysis

      GenBank accession No.SpeciesGene
      Latin nameEnglish name
      XM_020935293Boleophthalmus pectinirostrisMudskipperIL-34
      NM_001128701Danio rerioZebrafishIL-34
      KM350155Epinephelus coioidesOrange-spotted grouperIL-34
      NM_001257301Oncorhynchus mykissRainbow troutIL-34
      XM_030427145Sparus aurataGilthead seabreamIL-34
      NM_001305607Takifugu rubripesTiger pufferIL-34
      XM_020104586Paralichthys olivaceusJapanese flounderIL-34
      XM_019360775Oreochromis niloticusNile tilapiaIL-34
      XM_010743578Larimichthys croceaLarge yellow croakerIL-34
      XM_014124241Salmo salarAtlantic salmonIL-34
      XM_017465109Ictalurus punctatusChannel catfishIL-34
      XM_019087026Cyprinus carpioCommon carpIL-34
      XM_011476357Oryzias latipesJapanese rice fishIL-34
      XM_027161223Tachysurus fulvidracoYellow catfishIL-34
      XM_013138989Esox luciusNorthern pikeIL-34
      XM_026287434Carassius auratusGoldfishIL-34
      XM_007249177Astyanax mexicanusMexican tetraIL-34
      MK297321Ctenopharyngodon idellaGrass carpIL-34
      XM_020456685Oncorhynchus kisutchCoho salmonIL-34
      XM_024802984Maylandia zebraZebra mbunaIL-34
      NM_152456Homo sapiensHumanIL-34
      NM_001135100Mus musculusMouseIL-34
      NM_001025766Rattus norvegicusRatIL-34
      NM_001285975Sus scrofaPigIL-34
      XM_022419217Canis lupus familiarisDogIL-34
      XM_023637306Equus caballusHorseIL-34
      XM_018260639Xenopus laevisAfrican clawed frogIL-34
      XM_003641892Gallus gallusChickenIL-34
      XM_019535589Crocodylus porosusCrocodileIL-34
      NM_001100324Bos taurusCattleIL-34
      NM_001114480Danio rerioZebrafishCSF-1
      NM_001080076Danio rerioZebrafishCSF-1-2
      NM_001124394Oncorhynchus mykissRainbow troutCSF-1
      NM_001160476Oncorhynchus mykissRainbow troutCSF-1-2
      KM350156Epinephelus coioidesOrange-spotted grouperCSF-1-2
      NM_001280600Xenopus laevisAfrican clawed frogCSF-1
      XM_017000369Homo sapiensHumanCSF-1
      XM_024984551Bos taurusCattleCSF-1
      XM_008761428Rattus norvegicusRatCSF-1
      NM_001113530Mus musculusMouseCSF-1
      NM_001193295Gallus gallusChickenCSF-1
    • In vivo E. tarda challenge was performed on the mudskippers as described previously (Guan et al., 2017). The E. tarda strain MCCC 235 (purchased from the Marine Culture Collection of China) was cultured in Tryptic Soy Broth (TSB) medium at 28 °C with shaking and collected in the logarithmic growth phase. The fish were then intraperitoneally injected with 1.0×104 colony forming units (CFUs) of live E. tarda per fish, with the control group treated with the same volume of phosphate-buffered saline (PBS). At 4, 8, 12, and 24 h post-injection (hpi), the liver, spleen, kidney, and brain were collected. The tissues of healthy fish without treatment, including the kidney, muscle, liver, skin, spleen, gill, brain, and intestine, were also collected. Prior to tissue dissection, fish were anesthetized with 0.03% (v/v) ethylene glycol monophenyl ether and sacrificed.

    • Total RNA was extracted from fish tissues and MOs/MΦs using RNAiso reagent (TaKaRa, Dalian, China). After treatment with DNase I (TaKaRa, Dalian, China), first-strand cDNA was synthesized using AMV reverse transcriptase (TaKaRa, Dalian, China). qRT-PCR was performed on an ABI StepOne Real-Time PCR System (Applied Biosystems, Foster City, USA) using SYBR premix Ex Taq II (TaKaRa, Dalian, China) as described previously (Chen et al., 2019). The primers used are listed in Table 2. The reaction mixture was incubated for 5 min at 94 °C, and then subjected to 40 amplification cycles of 30 s at 94 °C, 30 s at 60 °C, and 30 s at 72 °C, followed by melting curve analysis for 30 s at 94 °C, 30 s at 72 °C, and 30 s at 94 °C. Relative gene expression of BpIL-34 in healthy or E. tarda-infected samples was calculated using the 2−ΔCT and 2−ΔΔCT methods, respectively, and the data were normalized to Bp18S rRNA levels. Each PCR run was performed with four samples and repeated three times.

      Table 2.  Oligonucleotide primers used in the qRT-PCR analysis of mudskipper genes

      GeneGenBank accession No.PrimerNucleotide sequence (5′–3′)
      BpIL-34XM_020935293BpIL-34RFGCAGGAGCTTCCAGAGTCAG
      BpIL-34RRCCTCCAATGGGACCTGTCAC
      BpIL-1βKX492895BpIL-1βFACGAGTGGTGAATGTGGTCA
      BpIL-1βRGAACTGAGGTTGTGCTGCAA
      BpTNF-αKX492896BpTNF-αFGGACAACAACGAGATCGTGA
      BpTNF-αRGTTCCACCGTGTGACTGATG
      BpIL-6XM_020932674BpIL-6FGCAGCACGTCAGAAGATGAGA
      BpIL-6RTCTCTGAGAAACTCGTGCAGC
      BpTGF-βXM_020928521BpTGF-βFTCAAAGGACACTTGCACAGC
      BpTGF-βRCAGGGCCAAGATCTGTGAAT
      BpIL-10XM_020936977BpIL-10FGTGGAGGGGTTCCCTCTAAG
      BpIL-10RGTGCGGAGGTAAAAGCTCAG
      Bp18S rRNA KX492897Bp18SFGGCCGTTCTTAGTTGGTGGA
      Bp18SRCCCGGACATCTAAGGGCATC
      BpCSF-1R1XM_020921963BpCSF-1R1FGGCCCACGTGTAAGGAGAAT
      BpCSF-1R1RTACTCCTCCCTCTGCACCTC
      BpCSF-1R2XM_020941064BpCSF-1R2FGTCTTGAGGTTGGACTCGGG
      BpCSF-1R2RCTCACACCTGTCGGTGAGTC
    • The primers BpIL-34pF (5′-CGGAATTCGCCCCCACTCCTTCGAGC-3′, underline indicates an introduced EcoR I site) and BpIL-34pR (5′-CCGCTCGAGTCAGCTTTTTGTGTTCACATTCT-3′, underline indicates an introduced Xho I site) were designed to amplify the sequence encoding the mature BpIL-34 (mBpIL-34) peptide. After digestion with EcoR I and Xho I, the amplicon was cloned into the pET-28a vector and the constructed plasmid (pET28a-mBpIL-34) was subsequently transformed into Escherichia coli BL21 (DE3). Here, rBpIL-34 was overexpressed by the induction of isopropyl-β-D-thiogalactopyranoside (IPTG) and subsequently purified using a Ni-NTA column (TaKaRa, Dalian, China) according to the manufacturer’s instructions. Endotoxin in the recombinant proteins was detected using the Limulus amebocyte lysate test and was found to be less than 0.1 EU/mg after toxin removal with an endotoxin-removal column (Pierce, Rockford, USA).

    • Antibody production was performed as reported previously (Chen et al., 2019). Briefly, purified rBpIL-34 was used as an immunogen to produce antiserum in Institute of Cancer Research (ICR) mice. Protein A agarose beads (Invitrogen, Shanghai, China) were used to precipitate IgG (anti-rBpIL-34 IgG) from the antisera. The IgG from saline-injected ICR mice (isotype IgG) was also purified.

      Western blotting was performed to detect native rBpIL-34 in mudskipper MOs/MФs using anti-rBpIL-34 IgG as per previous research (Chen et al., 2019). Briefly, protein samples were resolved by SDS-PAGE and transferred to a polyvinylidene fluoride membrane. Anti-rBpIL-34 IgG was used as the primary antibody at a 1:1 000 dilution, followed by horseradish peroxidase (HRP)-labeled goat anti-mouse IgG (1:5 000) as the secondary antibody. Proteins were visualized using an enhanced chemiluminescence (ECL) kit from Amersham (GE Healthcare, Pittsburgh, USA). To determine whether native BpIL-34 is N-glycosylated, denatured proteins of mudskipper MOs/MФs were treated with PNGase F (New England Biolabs, Beverly, USA) at 37 °C overnight and analyzed by Western blotting.

    • Mudskipper kidney-derived MOs/MФs were isolated and cultured as described previously (Ding et al., 2019). Briefly, fish kidney leukocyte-enriched fractions were obtained using Ficoll-Hypaque PREMIUM (1.077 g/mL; GE Healthcare, USA). After washing twice with RPMI1640, the MOs/MФs were cultured in 35 mm dishes at a concentration of 2×107 cells/mL. Cells (2 mL) were then incubated for at least 12 h at 24 °C with 5% CO2. Non-adherent cells were washed off, and adherent cells were incubated in complete medium (RPMI 1640, 5% mudskipper serum, 5% fetal bovine serum (FBS), 100 U/mL penicillin, 100 μg/mL streptomycin) at 24 °C with 5% CO2. The purity of the isolated mudskipper MOs/MФs was greater than 95%, as measured by Wright-Giemsa staining.

    • Target gene siRNAs, BpCSF-1R1 siRNA (BpCSF-1R1si, 5′-GCCAACGCCUCAAUCACAUTT-3′) and BpCSF-1R2 siRNA (BpCSF-1R2si, 5′-GCAGCAAUGAGAAUCACUUTT-3′), as well as mismatched control siRNA (MsiRNA, 5′-UUCUCCGAACGUGUCACGUTT-3′), were designed and synthesized by Invitrogen. The transfection of cells with siRNA was performed using Lipofectamine RNAiMAX (Invitrogen) according to the manufacturer’s protocols. Briefly, 5 μL of lipofectamine RNAiMAX in 250 μL of Opti-MEM (Invitrogen) was mixed with 100 pmoL siRNA in 250 μL of Opti-MEM. The mixture was then incubated for 20 min at room temperature before adding it to MOs/MФs at a final siRNA concentration of 40 nmol/L. Media were changed to complete media after 5.5-h incubation, and cells were cultured for another 48 h before collection for expression analysis. qRT-PCR confirmed the knockdown of BpCSF-1R1 and BpCSF-1R2 mRNA. The primers used are listed in Table 2.

    • Mudskipper MO/MФ phagocytosis assays using E. tarda were performed as described previously (Chen et al., 2016a). Briefly, E. tarda were collected in the logarithmic growth phase, labeled with fluorescein isothiocyanate (FITC) (Sigma, Saint Louis, USA), and designated FITC-E. tarda. The MOs/MФs were cultured in 6-well plates at a concentration of 2×106 cells/mL and each well contained a 2-mL cell suspension. The MOs/MФs were treated with 10.0 μg/mL rBpIL-34 or the same volume of PBS for 12 h. The heat-killed FITC-E. tarda were then added at a multiplicity of infection (MOI) of 10 and incubated for another 30 min. After washing extensively with sterile PBS to remove extracellular particles from the cells, Trypan Blue (0.4%) was used to quench fluorescence outside the cell. The engulfed bacteria were examined by flow cytometry using a Gallios Flow Cytometer (Beckman Coulter, Miami, USA). The relative mean fluorescence intensity (MFI) of bacteria engulfed by the cells was analyzed using FlowJo software. The MFIs of the PBS- and rBpIL-34-treated groups were expressed as fold-change relative to that without bacteria, and the MFI of the PBS-treated group was assigned a value of 100. Another set of assays were conducted with the addition of the siRNA reagents. After transfection with BpCSF-1R1si, BpCSF-1R2si, or MsiRNA for 48 h, MOs/MФs were treated with 10.0 μg/mL rBpIL-34 for 12 h. The remaining steps were performed as described above. The MFIs of the rBpIL-34- and siRNA-treated groups were expressed as fold-change relative to that without bacteria, and the MFI of the rBpIL-34-treated group was assigned a value of 100.

    • A bacterial killing assay was performed as described previously (Chen et al., 2018). Briefly, 4×106 MOs/MФs were treated with 10.0 μg/mL rBpIL-34 or the same volume of PBS for 12 h. Live FITC-E. tarda were added at a MOI of 10 and incubated for another 30 min. Bacterial uptake by MOs/MΦs was allowed to occur for 30 min at 24 °C in an atmosphere with 5% CO2. Non-internalized E. tarda were removed by extensive washing with sterile PBS. One set of samples (uptake group) was collected for RNA extraction, whereas the other set of samples (kill group) was further incubated for 1.5 h to facilitate bacterial killing before cell lysis. Cells were subjected to classic RNA isolation and subsequent qRT-PCR assays for E. tarda using the primers gyrBF and gyrBR (Guan et al., 2017). The Ct values, based on standard curves generated previously, were used to calculate the total CFUs/mL in all samples. Bacterial survival was determined by dividing the number of CFUs in the kill group by that in the uptake group. Four independent experiments were carried out. In addition, another set of assays were conducted with the addition of siRNA reagents. After transfection with BpCSF-1R1si, BpCSF-1R2si, or MsiRNA for 48 h, MOs/MФs were treated with 10.0 μg/mL rBpIL-34 for 12 h. The remaining steps were performed as described above.

    • After transfection with BpCSF-1R1si, BpCSF-1R2si, and MsiRNA, MOs/MФs were treated with 10.0 μg/mL rBpIL-34 for 12 h; MOs/MФs without any treatment were used as a blank control. qRT-PCR was carried out as described in Section 2.4 with target gene-specific primers (Table 2). The mRNA expression levels of BpTNF-α, BpIL-1β, BpIL-6, BpTGF-β, and BpIL-10 were normalized to those of Bp18S rRNA. Four independent experiments were performed.

    • All data are described as means±standard error of the mean (SEM). Data were analyzed by one-way analysis of variance (ANOVA) or Student’s t-test using SPSS v13.0 (SPSS Inc, Chicago, IL, USA). A P-value of 0.05 was considered statistically significant.

    • The cDNA sequence of BpIL-34 was obtained from the DDBJ/EMBL/GenBank databases under accession No. XM_020935293. The sequence was 1 169 nucleotides (nt) in length and possessed an open reading frame (ORF) of 642 nt, which was predicted to encode a 213-amino acid (aa) polypeptide with a calculated MW of 25.0 kDa and an isoelectric point (pI) of 8.57. Sequence analyses revealed that BpIL-34 possessed a 24-aa N-terminal signal peptide, and the mature peptide was comprised of 189 aa, with a calculated MW of 22.4 kDa. Multiple alignment showed that BpIL-34 contained five highly conserved cysteine residues (Cys32, Cys177, Cys182, Cys187, and Cys197), four of which formed two disulfide bonds (Cys32-Cys187 and Cys182-Cys197) (Figure 1). Two potential N-glycosylation sites (Asn39 and Asn71) were found in BpIL-34 (Figure 1). BpIL-34 was also found to contain a conserved motif with multiple cationic amino acid residues (RKx [R/K] K) at aa position 203–207, similar to that in other fish homologs (Liu et al., 2012) (Figure 1).

      Figure 1.  Multiple alignment of amino acid sequences of BpIL-34 and related fish IL-34 sequences

      Sequence comparisons showed that BpIL-34 shared the highest aa identity (78.4%) with the orange-spotted grouper IL-34. A phylogenetic tree was constructed based on the complete aa sequences of IL-34, with the CSF-1 sequences serving as an outgroup (Figure 2). Results showed that fish IL-34 grouped together to form a cluster distinct from the mammalian IL-34 cluster (Figure 2). The fish and mammalian IL-34 clusters formed a clade that was well separated from the CSF-1 clade (Figure 2).

      Figure 2.  Phylogenetic tree analysis of complete amino acid sequences of IL-34 and CSF-1 using neighbor-joining method

    • The relative mRNA expression of BpIL-34 in selected tissues was detected by qRT-PCR. In healthy fish, BpIL-34 transcripts were detected in all tested tissues, with the highest level observed in the brain, followed by the gill and intestine (Figure 3A). Upon E. tarda infection, BpIL-34 mRNA expression rapidly increased in the four selected tissues (brain, liver, spleen, and kidney) compared to that in the control group, and the highest level of up-regulation (45.7-fold) was found in the kidney at 12 hpi (Figure 3B–E).

      Figure 3.  qRT-PCR analysis of BpIL-34 mRNA expression in tissues of healthy (A) and Edwardsiella tarda-infected mudskippers (B–E)

    • After induction by IPTG, recombinant rBpIL-34 was overexpressed in E. coli BL21 (DE3). The size of rBpIL-34 obtained based on SDS-PAGE analysis was ~26 kDa, similar to the calculated value (22.4 kDa for the mBpIL-34 plus 3.83 kDa for 6×His-tag; Figure 4A). rBpIL-34 was purified by affinity chromatography using an Ni-NTA column, with purity not less than 96% (data not shown). Purified rBpIL-34 was then used to immunize mice, and anti-rBPIL-34 IgG was purified from antisera. As determined by Western blot analysis, the MW of native BpIL-34 in mudskipper MOs/MΦs was approximately 32 kDa, which was converted to a 25-kDa band after PNGase F digestion (Figure 4B).

      Figure 4.  Prokaryotic expression and Western blot analysis of BpIL-34

    • MOs/MФs play a pivotal role in immune responses in fish against invasion by pathogens, and phagocytosis and intracellular bacterial killing are the main biological functions of MOs/MФs (Lu & Chen, 2019). Consequently, we investigated the effects of rBpIL-34 on the functions of mudskipper MOs/MФs. Phagocytosis of FITC-E. tarda by rBpIL-34-treated MOs/MΦs was significantly higher (up to 3.18-fold) than that in the PBS-treated group (Figure 5A). In addition, qRT-PCR measurement of intracellular E. tarda CFUs in mudskipper MOs/MΦs showed that the bacterial survival rate in the rBpIL-34-treated group (36.12%±1.54%) was much lower than that in the PBS-treated group (75.36%±3.97%; Figure 5B).

      Figure 5.  Effects of rBpIL-34 on phagocytosis and bacterial killing of Edwardsiella tarda by mudskipper MO/MΦs

    • We also investigated the effects of rBpIL-34 on mRNA expression of typical inflammatory cytokines (pro-inflammatory cytokines: BpTNF-α, BpIL-1β, and BpIL-6; anti-inflammatory cytokines: BpTGF-β and BpIL-10) in mudskipper MOs/MΦs. qRT-PCR showed that the mRNA expression levels of BpTNF-α, BpIL-1β, and BpIL-6 were up-regulated 7.36-, 3.01-, and 1.42-fold, respectively, in MOs/MΦs treated with rBpIL-34 compared to those in the control group (Figure 6). No significant change was found in the mRNA expression of BpTGF-β between the rBpIL-34-treated and control groups; however, BpIL-10 mRNA expression was down-regulated 0.67-fold in the rBpIL-34-treated group compared to that in the control group (Figure 6).

      Figure 6.  Effects of rBpIL-34 on mRNA expression of BpTNF-α (A), BpIL-1β (B), BpIL-6 (C), BpTGF-β (D), and BpIL-10 (E) in mudskipper MOs/MΦs

    • As CSF-1R is reportedly the receptor of IL-34 in mammals (Ségaliny et al., 2015; Wang et al., 2012) and mudskippers have two CSF-1R genes, we further determined whether BpCSF-1R1 or BpCSF-1R2 knockdown would influence the rBpIL-34-enhanced phagocytotic and bacterial killing activity of mudskipper MOs/MΦs. Firstly, we used RNAi to knock down the expression of BpCSF-1R1 and BpCSF-1R2 in MOs/MФs. When MOs/MФs were transfected with BpCSF-1R1si, the mRNA expression of BpCSF-1R1 decreased to 29.17%±6.31% of control levels at 48 h, whereas BpCSF-1R2 expression showed no significant change (Figure 7B, C). Similarly, when MOs/MФs were transfected with BpCSF-1R2si, the mRNA expression of BpCSF-1R2 decreased to 21.66%±1.11% of control levels at 48 h, whereas BpCSF-1R1 expression showed no significant change (Figure 7B, C). These results suggest that the target genes BpCSF-1R1 and BpCSF-1R2 were effectively and specifically knocked down. The transfection of MsiRNA had no obvious effect on either BpCSF-1R1 or BpCSF-1R2 expression (Figure 7B, C).

      Figure 7.  RNAi-mediated gene knockdown of BpCSF-1R1 and BpCSF-1R2 in mudskipper MOs/MФs

      We then used BpCSF-1R1si and BpCSF-1R2si to explore whether BpCSF-1R1 and BpCSF-1R2 mediated the enhancing effect of rBPIL-34 on the phagocytotic and bacterial killing activity of MOs/MФs. After BpCSF-1R1si transfection, MOs/MΦs treated with rBpIL-34 showed a significant decrease in phagocytosis of E. tarda (0.16-fold) compared to that in the control group (normal MO/MΦs treated with rBpIL-34), whereas MsiRNA or BpCSF-1R2si transfection resulted in no obvious changes (Figure 8A). On the other hand, the bacterial survival rate in BpCSF-1R1-knockdown MOs/MΦs after rBPIL-34 treatment was significantly increased (2.15-fold) compared to that in the control group (normal MO/MΦ treated with rBpIL-34), with MsiRNA or BpCSF-1R2si transfection resulting in no obvious changes (Figure 8B).

      Figure 8.  Effects of BpCSF-1R1 and BpCSF-1R2 knockdown on rBpIL-34-enhanced phagocytosis and bacterial killing of Edwardsiella tarda by mudskipper MOs/MΦs

    • qRT-PCR analysis showed that BpCSF-1R1 knockdown decreased the mRNA expression of BpTNF-α, BpIL-1β, and BpIL-6 in mudskipper MOs/MΦs treated with rBpIL-34 by approximately 0.31-, 0.36-, and 0.49-fold, respectively, compared to levels in the MsiRNA-treated control group (Figure 9), whereas BpTGF-β and BpIL-10 mRNA expression was not obviously changed (Figure 9). BpCSF-1R2 knockdown had no noticeable effect on the mRNA levels of all selected cytokines in MOs/MФs compared to those in the control group (Figure 9).

      Figure 9.  Effects of BpCSF-1R1 and BpCSF-1R2 knockdown on rBpIL-34-altered mRNA expression of selected cytokines in MOs/MФs

    • IL-34 is a recently discovered cytokine identified as the second ligand of CSF-1R (Lin et al., 2008). Over the past decade, accumulating evidence has shown that IL-34 exerts potent immunomodulatory effects in many physiological and pathological states. However, studies on the function of IL-34 in teleosts are limited. In this study, we identified an IL-34 homolog sequence from mudskippers. Sequence analysis revealed that BpIL-34 had structural similarities to other fish IL-34 homologs. Phylogenetic tree analysis showed that BpIL-34 belonged to the IL-34 clade and was most closely related to an orange-spotted grouper homolog. It has been reported that the C-terminal region of IL-34 is heavily glycosylated via O-linked glycans in humans (Felix et al., 2013), but this region is not found in fish IL-34 homologs (Xue et al., 2019). In contrast, two to six potential N-glycosylation sites are present in each fish IL-34 homolog (Wang et al., 2013). Our results showed that the native BpIL-34 in cells was N-glycosylated. Glycosylation plays an important role in functions such as intracellular transport, ligand binding, structural stability, and signal transduction (Huang et al., 2015). Recent study has shown that this post-translational glycosylation does not appear to influence the functions of recombinant grass carp IL-34 as the effects of both bacteria-derived rCiIL-34 and HEK293T cell-derived rCiIL-34 on fish MOs/MΦs are similar (Xue et al., 2019). Signatures of positive selection are also found in mammalian IL-34 (Neves et al., 2014), which might be explained by the multitude of biological processes involving IL-34.

      Gene expression patterns commonly reflect functions. IL-34 expression is mainly detected in the skin and central nervous system in mice (Wang et al., 2012). In fish, like rainbow trout, large yellow croaker, and grass carp, IL-34 is constitutively expressed in various tissues, with highest expression found in the spleen (Wang et al., 2013, 2018; Xue et al., 2019), or the brain in the case of orange-spotted grouper (Mo et al., 2015). IL-34 expression is tightly associated with pathogen stimulation. Most studies have shown that pathogen infection increases IL-34 transcript levels in tissues, especially at the infected sites (Mo et al., 2015; Wang et al., 2013, 2018; Wu et al., 2019; Xue et al., 2019). However, a significant decrease in the expression of IL-34 in hepatitis B virus (HBV) patients has also been identified (Cheng et al., 2017). Changes in IL-34 expression, either increase or decrease, are involved in disease pathogenesis, and are correlated with progression, severity, and chronicity (Baghdadi et al., 2018). In this study, we determined that BpIL-34 transcripts were constitutively expressed in all tested tissues, with the highest level found in the brain. This result is in accordance with that reported in the orange-spotted grouper (Mo et al., 2015) and in mammals (Wang et al., 2012). IL-34 is a tissue-restricted ligand of CSF-1R and is required for the development of Langerhans cells and microglia in mammals (Wang et al., 2012); moreover, it can protect blood-brain barrier integrity by restoring expression levels of tight junction proteins (Jin et al., 2014). Fish IL-34 may also exhibit such functions. Upon E. tarda infection, the BpIL-34 mRNA level was significantly up-regulated in the liver, spleen, kidney, and brain, in accordance with that reported in fish previously (Mo et al., 2015; Wang et al., 2013; Wu et al., 2019; Xue et al., 2019), suggesting that BpIL-34 may be involved in mudskipper immune responses against E. tarda.

      MO/MΦ plays key roles in the fish protection system, and phagocytosis, the killing of invading bacteria, and production of cytokines are their main effector functions (Lu & Chen, 2019; Zou & Secombes, 2016). IL-34 was first identified as a potent activator of MO and MΦ via CSF-1R based on functional screening of the extracellular proteome (Lin et al., 2008). In the African clawed frog (Xenopus laevis), recombinant IL-34-derived MΦs not only display higher bactericidal activity than control cells but also exhibit potent antiviral activity against FV3 ranavirus, which is dependent on reactive oxygen production (Grayfer & Robert, 2014, 2015). Intriguingly, recombinant CSF-1-treated rather than recombinant IL-34-treated MΦs are more phagocytic for both tadpoles and adult frogs (Grayfer & Robert, 2014, 2015). IL-34 also activates microglia (tissue-resident MΦs of the central nervous system) to rescue neurons by enhancing the phagocytosis of toxicants or damaged debris (Suzumura, 2013; Wang & Colonna, 2014). In this study, we showed that rBpIL-34-derived mudskipper MOs/MΦs displayed increased phagocytic and bactericidal activities compared to those of the PBS-treated control group, suggesting that rBpIL-34 could activate these cells and possibly drive their differentiation. Cytokines are signaling proteins that regulate a wide range of biological functions, and macrophages are a major source of many cytokines. Studies have shown that IL-34 can alter cytokine expression in vertebrate species. For example, IL-34 treatment can induce the up-regulation of IL-6, CXCL10, IL-8, and CCL2 in human whole blood (Eda et al., 2010) and increased TNF-α expression in lamina propria mononuclear cells (Franzè et al., 2015). Furthermore, the addition of IL-34 to primary lung fibroblasts can significantly promote IL-6 and IL-8 expression in a dose- and time-dependent manner (Zhou et al., 2018). Treatment with chicken IL-34 increases the expression of Th1 and Th17 cytokines in chicken cell lines (Truong et al., 2018). In grass carp, in vitro IL-34 treatment up-regulates the expression of IL-1β, IL-6, and IL-8 but inhibits the expression of IL-10 and TGF-β1 in MΦs (Xue et al., 2019). Here, we determined that rBpIL-34-derived MOs/MΦs expressed higher levels of BpTNF-α, BpIL-1β, and BpIL-6 and lower levels of BpIL-10 compared to that in the PBS-treated control group, coinciding well with previous reports (Eda et al., 2010; Franzè et al., 2015; Truong et al., 2018; Xue et al., 2019; Zhou et al., 2018). These results suggest that IL-34 promotes the differentiation of mudskipper MO/MΦ into the pro-inflammatory phenotype.

      CSF-1R is critical for the proliferation, survival, and differentiation of MФs, as its knockdown results in the marked depletion of MФs in most tissues (Dai et al, 2002; Droin & Solary, 2010). In addition, CSF-1R signaling controls development of the MФ lineage under steady conditions and during certain inflammatory reactions (Lenzo et al, 2012). CSF-1R is a major receptor of IL-34 in mammals (Baghdadi et al., 2018; Jeannin et al., 2018; Peyraud et al., 2017). For example, in human whole blood, the IL-34-enhanced mRNA expression levels of IL-6 and chemokines such as MCP-1 are inhibited by GW2580, a CSF-1R kinase inhibitor (Eda et al., 2010). In this study, we determined that BpCSF-1R1, but not BpCSF-1R2, mediated the enhancing effects of rBpIL-34 on MO/MΦ phagocytosis, bactericidal activity, and pro-inflammatory cytokine mRNA expression. Interestingly, although rBpIL-34 inhibited the mRNA expression of the anti-inflammatory cytokine BpIL-10 in MOs/MΦs, knockdown of BpCSF-1R1 and BpCSF-1R2 had no significant effect on BpIL-10 mRNA expression in mudskipper MOs/MΦs compared to that in the MsiRNA-treated control group, suggesting that the inhibitory effect of rBPIL-34 on BpIL-10 mRNA expression was independent of BpCSF-1R1 and BpCSF-1R2. To our knowledge, this is the first report to show that CSF-1R1 mediates the functions of IL-34 in fish MOs/MΦs.

      In summary, we identified an IL-34 homolog from mudskippers. BpIL-34 mRNA expression was up-regulated in mudskipper tissue upon E. tarda infection. In vitro, rBpIL-34 treatment not only enhanced the phagocytotic and bactericidal activity of mudskipper MOs/MФs but also elevated the mRNA levels of pro-inflammatory cytokines. Results of RNAi suggested that BpCSF-1R1, but not BpCSF-1R2, mediated the effects of rBpIL-34. However, further investigations are needed to determine the underlying intracellular signaling pathways associated with IL-34.

    • The authors declare that they have no competing interests.

    • H.Y.S., Q.J.Z, and J.C. conceived and designed the experiments. H.Y.S., Y.Z., and Q.J.Z performed the experiments. H.Y.S., Q.J.Z, and J.C. analyzed the data and wrote the manuscript. M.Y.L. and J.C. reviewed and corrected the manuscript. All authors read and approved the final version of the manuscript.

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