Literature DB >> 35865522

RGD-Labeled Hemocytes With High Migration Activity Display a Potential Immunomodulatory Role in the Pacific Oyster Crassostrea gigas.

Zhao Lv1,2, Limei Qiu1,2, Weilin Wang3,4, Zhaoqun Liu3,4, Qing Liu1,2, Lingling Wang3,4, Linsheng Song3,4.   

Abstract

Immunocyte migration to infection sites is important for host cellular defense, but the main types of migrating hemocytes and their mechanisms against pathogen invasions are unclear in invertebrates. In the present study, a population of hemocytes in the Pacific oyster Crassostrea gigas labeled with a fluorescein isothiocyanate (FITC)-conjugated Arg-Gly-Asp (RGD)-containing peptide was sorted. RGD+ hemocytes were characterized by a smaller cell size and cytoplasmic-nucleo ratio, fewer cytoplasmic granules, and higher levels of myeloperoxidase, reactive oxygen species, and intracellular free calcium concentration. RGD+ hemocytes exhibited a high level of migration activity, which was further induced after V. splendidus infection. Transcriptome analysis revealed that RGD+ hemocytes highly expressed a series of migration-related genes, which together with migration-promoting genes were significantly upregulated after V. splendidus infection. The neuroendocrine system was also proven to regulate the migration activity of RGD+ hemocytes, especially with the excitatory neuroendocrine factor dopamine, which promoted migration activity as confirmed by receptor blocking assays. Meanwhile, RGD+ hemocytes could highly express immunomodulatory factor interleukin (IL)-17s and their receptor genes, which was positively related to the production of antimicrobial peptides in whole hemocytes after V. splendidus infection. Collectively, this study identified a specific hemocyte population, i.e., RGD+ hemocytes, that shows high migration activity in response to pathogen infection and exerts a potential immunomodulatory role by highly expressing IL-17s that might enhance the hemocytes' antimicrobial peptide production in oysters.
Copyright © 2022 Lv, Qiu, Wang, Liu, Liu, Wang and Song.

Entities:  

Keywords:  C. gigas; RGD labeled hemocytes; antimicrobial immunity; immunomodulatory; migration activity

Mesh:

Substances:

Year:  2022        PMID: 35865522      PMCID: PMC9294365          DOI: 10.3389/fimmu.2022.914899

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   8.786


1 Introduction

A unique property of the immune system that distinguishes it from other tissue systems in organisms is the migration of its major cellular components through body fluids into tissues and often back into the body fluids again to eliminate infectious pathogens, clear dead tissues, and repair the damage in hosts (1, 2). In mammals, neutrophils and macrophages are essential players of the innate immune system and are the first two types of leukocytes to migrate to the sites of infection to directly internalize and kill invading microbes or regulate immune responses by producing various cytokines, such as tumor necrosis factors (TNFs) and interleukins (ILs), that promote inflammation and antimicrobial effects (3–5). Several types of T lymphocytes, including CD8+ cytotoxic T cells, CD4+ helper T cells, and memory T-lymphocytes, serve as the key part of the adaptive immune system in mammals and have also been shown to migrate to infection sites and exert immune killing and regulation (6–8). Therefore, the migration of immunocytes is essential for both innate and adaptive immune responses and is considered an indispensable context of cellular immunity. The molecular mechanisms of migration shared by different types of immunocytes have been extensively studied in mammals, among which a set of internal machineries mediated by integrins and integrin signaling pathways is reported as an essential requirement (9–11). It is generally believed that rapid actin polymerization drives protrusions at the front edge of migrating immunocytes, and the activation of molecular motor myosin provides contractile forces that lead to contractions at the rear of migrating immunocytes, ultimately forcing the cells to move forward (12). During this process, the linkage of integrins’ cytoplasmic region to intracellular actins is directly associated with the activity of actin polymerization and integrins on the cell surface that interact with extracellular matrix molecule (ECM) ligands also increase cell adhesions and finally promote protrusions at the front edge of migrating immunocytes (13, 14). The activation of integrin signaling pathway molecules such as PI3K, phosphatidylinositol-3-phosphate (PIP3), and the small GTPases Rac and Cdc42 can enhance the activity of actin polymerization for the protrusions at the front edge of migrating immunocytes (15, 16). Furthermore, the molecules that regulate integrin signaling pathways, such as the small GTPase Rho at the rear of migrating immunocytes, have been demonstrated to activate ROCKs and MLCKs to ultimately promote myosin motor activity (17, 18), indicating that integrins and integrin signaling pathways also play important roles in the contractions at the rear and subsequent detachment of migrating immunocytes. Invertebrates lack the T and B cells necessary for adaptive immunity, and circulating hemocytes are thought to be the most crucial cellular component of innate immunity for the recognition and removal of foreign invaders (19–21). An increasing body of evidence has suggested that the migration of hemocytes plays important roles in innate immune defenses in many invertebrate species. In the fruit fly Drosophila melanogaster, for example, hemocytes have been observed to migrate at wound sites and engulf cell debris under scanning electron microscopy (22, 23). The hemocytes of shrimp Litopenaeus stylirostris have also been shown to migrate toward the infection sites following the challenge of Vibrio penaeicida, with a local and massive release of penaeidin that exerts antimicrobial effects (24). In addition, a number of integrin signaling pathway genes, such as the small GTPases Rho and Rac3 and cytoskeleton dynein, are significantly upregulated in the Manila clam Ruditapes philippinarum following challenge with V. alginolyticus based on an immune-enriched oligo-microarray analysis (25), suggesting a conserved molecular basis for hemocyte migration in invertebrates. Nevertheless, the main types of hemocytes that migrate at the sites of infection to exert immune functions are still unknown, as studies on cell typing are greatly impeded due to the lack of molecular markers and effective monoclonal antibodies in invertebrates (26–28). In mammals, the tripeptide RGD is a specific ligand for RGD-binding integrins, including α5β1, α8β1, αVβ1, αVβ3, αVβ5, αVβ6, αVβ8, and αIIbβ3 (29). Given the key roles of these integrins in cell migration, fluorescent RGD-containing peptide (RGDCP) has been widely employed as the specific probe for integrins to image certain migrating cells. For example, RGDCP conjugated with the fluorescent dye FITC, Cy7, or Cy5 is available for targeting integrin αVβ3, which is highly expressed on the glioma cell surface, to indicate the migration activity, morphological change, and invasion processes (30–32). Considering that synthetic RGDCP has also been reported to conservatively bind hemocytes via surface-specific integrins in many invertebrates, including D. melanogaster (33), Botryllus schlosseri (34), Pacifastacus leniusculus (35), Lymnaea stagnalis (36), Mytilus trossulus (37), and C. gigas (38–40), fluorescent RGDCP as a specific probe for invertebrate integrins may also be practical for marking a population of hemocytes and helpful for studying the main types of migrating hemocytes and their roles in the immune responses of invertebrates. The Pacific oyster, C. gigas, is one of the most important mariculture bivalve species worldwide (41). As a sessile filter feeder exposed to a wide range of biotic and abiotic stresses, C. gigas represents an attractive model for studying the immunologic mechanisms for stress adaptation in invertebrates (41). Molecular immunology research has made great strides after the identification of most immune genes, but there are still many unknowns in the cellular immunity of this animal (42–44). The involvement of integrins in cellular immune responses and the binding of RGDCP to integrins and hemocytes in C. gigas were reported in our previous studies (38, 39). In this study, RGDCP-bound positive hemocytes (RGD+ hemocytes) were sorted by fluorescence-activated cell sorting (FACS), and the labeled cells were proven to have high migration activity. Therefore, the objectives of the study are to (1) analyze the features of cellular morphology and molecular characteristics of RGD+ hemocytes, (2) investigate the molecular mechanisms underlying the high migration activity of RGD+ hemocytes in response to the pathogen V. splendidus, and (3) explore the possible roles of RGD+ hemocytes after their migration at the infection sites in C. gigas. The study will offer new insights into the main types of migrating hemocytes and their immune defense mechanisms against microbial infection in C. gigas.

2 Materials and Methods

2.1 Animal Rearing and Manipulation

Pacific oyster (C. gigas) specimens with lengths of 10~15 cm and weights of 150~200 g were collected from a local breeding farm in Rongcheng, China. These specimens were acclimated in aerated and filtered seawater (with a salinity of approximately 32.0‰) at 18°C and fed spirulina powder every other day for 2 weeks prior to use in experiments. For immune challenge, the oysters were stimulated with 100 μl of V. splendidus (106 cells/ml, strain JZ6 provided by Rui Liu from the Institute of Oceanology, Chinese Academy of Sciences) by injection into adductor muscle for 12 or 24 h followed by hemocyte extraction. Seawater in the aquaria was replaced every day, and all experiments involving animals reported in this study were approved by the Ethics Committee of the Institute of Oceanology, Chinese Academy of Sciences.

2.2 Hemocyte Preparation

Approximately 1 ml of hemolymph per oyster was extracted from the adult C. gigas specimens by using a sterile syringe needle (with a diameter of 0.7 mm) to carefully puncture the pericardial cavity and to avoid poking the gonads and other tissues to ensure that the obtained hemolymph was free from contamination by other type cells. The hemolymph was immediately mixed with prechilled anticoagulant acid citrate dextrose solution (7.3 g/l citric acid, 22.0 g/l sodium citrate, and 24.5 g/l dextrose) at a 7:1 volume/volume ratio, pooled into sterilized 50-ml Falcon tubes, pelleted at 800 × g at 4°C for 5 min, and washed twice with modified Leibovitz L15 medium (supplemented with 0.54 g/l KCl, 0.6 g/l CaCl2, 1 g/l MgSO4, 3.9 g/l MgCl2, 20.2 g/l NaCl, 100 U/ml penicillin G, 40 µg/l gentamycin, 100 µg/ml streptomycin, 0.1 µg/ml amphotericin B, and 10% fetal bovine serum) (45). Hemocytes were resuspended in modified Leibovitz L15 medium after using a screen mesh with a pore size of 70 μm to remove the larger non-cellular particles and stored on ice for 30 min to reduce spontaneous aggregation.

2.3 Labeling and FACS of RGD+ Hemocytes

The FITC-conjugated RGDCP peptide was synthesized by Sangon Biotech (Shanghai, China) and used as the probe for certain integrins to label specific populations of oyster hemocytes as previously described (38, 39). Briefly, the collected hemocytes were resuspended in modified Leibovitz L15 medium and incubated with FITC conjugated-RGDCP (0.01 mg/ml) for 30 min. After three washes with modified Leibovitz L15 medium, some hemocytes with FITC conjugated-RGDCP were fixed on glass slides, dyed with DAPI, and observed under a laser confocal scanning microscope (Carl Zeiss LSM 710). The percentage of hemocytes with FITC-conjugated RGDCP was analyzed by flow cytometry (BD FACSAria II). FITC-positive and -negative cells were gated using an FL1 channel, and the population of hemocytes with green signals derived from FITC-conjugated RGDCP was designated RGD-bound positive hemocytes (RGD+ hemocytes), while the other mixture of hemocyte populations was assigned RGD-bound negative hemocytes (RGD- hemocytes). To explore the characteristics of oyster RGD+ hemocytes and their responses to V. splendidus infection, resting RGD+ and RGD- hemocytes (from blank oysters without any stimulations) and activated RGD+ and RGD- hemocytes (from oysters stimulated by V. splendidus after 24 h) were sorted using FACS based on the fluorescence intensity, followed by cytochemical staining, cellular function, and transcriptomic analyses ( ).
Figure 1

Pipeline overview of analyses of the molecular mechanisms for the mediation of high migration activity and regulation of antimicrobial immunity of C. gigas RGD+ hemocytes. The hemocytes were collected, incubated with FITC-conjugated RGDCP, and sorted using FACS to prepare both RGD+ hemocytes and RGD- hemocytes. The differential expression in RGD+ hemocytes before or after V. spelendidus infection was revealed by transcriptome bioinformatic analyses, including DEG, GO term, and KEGG pathway analyses. The molecular mechanisms for the mediation of high migration activity and regulation of antimicrobial immunity were revealed based on DEGs and further validated using qPCR, receptor blocking assay, and confocal microscopy.

Pipeline overview of analyses of the molecular mechanisms for the mediation of high migration activity and regulation of antimicrobial immunity of C. gigas RGD+ hemocytes. The hemocytes were collected, incubated with FITC-conjugated RGDCP, and sorted using FACS to prepare both RGD+ hemocytes and RGD- hemocytes. The differential expression in RGD+ hemocytes before or after V. spelendidus infection was revealed by transcriptome bioinformatic analyses, including DEG, GO term, and KEGG pathway analyses. The molecular mechanisms for the mediation of high migration activity and regulation of antimicrobial immunity were revealed based on DEGs and further validated using qPCR, receptor blocking assay, and confocal microscopy.

2.4 Cytochemical Staining Analysis

The resting RGD+ and RGD- hemocytes were collected and plated onto glass slides to allow cell adhesion at 18°C for 3 h. Then, hemocytes were fixed with 4% PFA and stained with Wright, Giemsa, and hematoxylin–eosin (HE) as previously described (46). For myeloperoxidase (MPO) staining, hemocytes were fixed with 10% formal ethanol and stained with MPO for 10 min. The morphological and cytochemical characteristics of hemocytes were observed by light microscopy (Olympus, Tokyo, Japan).

2.5 Detection of Intracellular ROS and Ca2+ Levels

The resting RGD+ and RGD- hemocytes were washed twice with modified Leibovitz L15 medium, and the concentration was adjusted to 1 × 106 cells/ml. The specific fluorescent probe DHE or Rhod-2 AM (Beyotime, Shanghai, China) was diluted to 1 μM, mixed with the resting RGD+ and RGD- hemocyte suspensions, respectively, and incubated for 45 min at room temperature in a rotary mixer according to the instructions for the detection of intracellular ROS or Ca2+. The stained resting RGD+ and RGD- hemocytes were collected at 800 g and 4°C for 10 min by centrifugation and washed three times with modified Leibovitz L15 medium. The fluorescence signal of the probes was detected by flow cytometry, and the mean fluorescence intensity (MFI) value was used to reflect the intracellular ROS (or Ca2+) levels in different populations of hemocytes. There were three replicates for each sample.

2.6 Library Preparation and RNA Sequencing

To explore the molecular mechanisms of oyster RGD+ hemocytes and their responses against V. splendidus, nine RNA-seq paired-end libraries from the sorted resting RGD+, resting RGD-, and activated RGD+ hemocytes were generated using the NEBNext® Ultra™ RNA LibraryPrep Kit for Illumina® (NEB, Ipswich, MA, USA) following the manufacturer’s procedure (47). Sequencing of libraries was performed using an Illumina HiSeq 2000 platform, and 150-bp paired-end raw reads were generated. After removing adapter sequences, poly-N sequences, and low-quality reads, 7.12~8.41-G clean reads were obtained in each library ( ). The average Q20 of sequencing and the alignment ratio of sequenced nucleotides against the reference genome (http://www.oysterdb.com) were greater than 96% and 71%, respectively ( ). Three biological transcriptomic sequencing replicates were performed.

2.7 Transcriptome Bioinformatic Analysis

Differential expression analyses were performed between the resting RGD+ and RGD- hemocytes and between the activated and resting RGD+ hemocytes using the DEGseq R package (1.10.1) (48). Benjamini and Hochberg’s approach (49) was used to control the false discovery rate (FDR) by resulting P value adjustment. Genes with an adjusted P value (or q value) <0.05 found by DEGseq were selected as differentially expressed. Gene Ontology (GO) enrichment was then analyzed using DAVID 6.8 Beta (https://david.ncifcrf.gov), and the results were classified with GOTERM_BP, GOTERM_CC, and GOTERM_MF (50). Significantly enriched signal transduction pathways represented by differentially expressed genes (DEGs) were determined using KEGG pathway enrichment analysis compared with the whole-genome background (51). All sequences obtained in this study are deposited in GenBank (PRJNA826541), and the analyzed data of DEGs are listed in – .

2.8 qPCR for Gene Expression Analysis

The resting RGD+, resting RGD- hemocyte, activated RGD+, and activated RGD- hemocyte cDNAs were prepared as described previously (38). For validation of transcriptomic analyses, representative DEGs involved in hemocyte migration, neuroendocrine regulation, and immunomodulation were selected from transcriptomic data, and their mRNA expression profiles were determined by using SYBR Green fluorescent qPCR. In addition, six reported antimicrobial peptides (AMPs), including Cg-BigDefensin-1~3, Cg-Defensin-1~2, and Cg-BPI, were also detected according to references (52, 53) to explore the potential antimicrobial roles of the different hemocyte populations in oysters. SYBR Green fluorescent qPCR was performed using an ABI PRISM 7500 Sequence Detection System (Applied Biosystems, Foster City, CA, USA) following the manufacturer’s protocols. The relative gene expression levels were analyzed by the 2−ΔΔCT method (54) with the oyster encoding elongation factor 1 (CgEF-1) as the internal control (55). All data are presented in terms of relative gene expression (N = 6). Detailed information on the primer nucleotide sequences is summarized in . The dissociation curve analysis of amplification products with technical repetitions was performed at the end of each PCR to confirm that only one PCR product was amplified and detected, which reflected the specificity and efficiency of the primer pairs.
Table 1

The information of representative DEGs associated with hemocytes migration, neuroendocrine regulation and immunomodulatory, and AMP genes for qPCR validation.

Functional descriptionsMolecular categoriesAccession numbersForward primer sequencesReverse primer sequences
Myosin activating molecules ROCKCGI_10004418* GAAGTGGGCTAAGTTCTACAATTTCAATGTCTGTGGG
MLCKCGI_10016803* ACAGTATCAATAAGCACGACAATGACAGATGATGTTTCG
CGI_10015855** GATGATGGAGTCCGCTAATGAGGTGGTGTTTCGTAT
CGI_10016804** TCGGAGGTGATTAGGACGGGCAGTATGCTGGAGGGT
Activation of molecules at edge RhoCGI_10019637* ATGGCAACTTCGGTACTTCGGATTCAGCACCCTTTCA
CGI_10028030& GATTCATTACGCTTGATAAGTGAGGTTCATTTAGTGCC
CGI_10012684& AGGAGATGGTGCTTGTGGTTGCGATTTGACTGGTTC
Actin polymerization ActinCGI_10020997& AGAGCCTGGCAGATAAGATTGTTGAGATAGACGGTTG
CGI_10000602& CCACTCAATCCCAAATACAGCCTGCTAGGTCCACTCT
CGI_10024579& ATGGGACAGAAGGACAGCGGCGTAACCCTCGTAGAT
CGI_10003492& GATTTGACCGATTACCTTATTCCAGACCGAGTATTTCC
Activation of molecules at front PI3KCGI_10027824& ATGCCTCCGATAGTGGTCTCTCATCCTTCTGTCCCT
GTPaseCGI_10000237& TGTGACGGTGATGATTGGGGCGATACTACGGAGAAG
CGI_10021345& AATGCTCTGCCCTTACCCCACAGCCTTTCTTCGTTT
CGI_10021938& GGCAGGAGGATTACGACATTTCACAGGCGACAGACC
IntegrinCGI_10012356* TGGGAAGTTGGCTAAGGAACAGATGACAAAGCGTGA
CGI_10013155* TGTATCTGATGCAGACCGAGTCGGTGGTGCTGGTTGGAAT
CGI_10008246* AGTGGCGGAATCTGTGACGGTGATGTTTGCCTGTATGA
CGI_10017565* CCCTTGGGTACTACCTTTTAATCCCTTTCCAGACAC
CGI_10021392& TGTTTACTGGGTGGTTTGATCTCCTGTGGCTCCTAC
CGI_10021391& CATCCACGGGAGGAACTTCGAAACCGCCACCTATCT
CGI_10021257* TGGCTTTAATGTCCCACCCATCAACAGGCAAATACAAA
CGI_10012568& GTGAGGCACTCTTAACCAAGGGAAATAAATGTAGCG
CGI_10023513& GTGGAGCCTGGGAGTTACTTTGGACCCTTCTAATGT
CGI_10009281& TGAGCACCATCACTAAGAACATTGACTTTGTCCCTGA
CGI_10014761& TTATTGGTGGTGATGAGTCGGGCAGGTATTTAGGTTA
CGI_10012179& ACCCATCAGTTGGTCAGACTCGTAGACGCCTGTAGC
CGI_10012180& TACTCCTATCGCCATCGTTTTCCCTCCATCCAATCT
CGI_10009280& CGCAGAAGGGCACTAATAACAGACTCCGCAGATACA
CGI_10012178& GTAACGCCAACTACACGGACACTGACAGCGACCACA
ECM-integrin interation ECMCGI_10025801& GGGCGAACAAGGACGAACCCAGGCAAGCCAAGCAAT
CGI_10013230& GGCTTCCATCACTTACACGATTACTTACTACAGCGACA
CGI_10003195& CCGACCAAGTTTACAATGGTAGTAGGTGGAGGCAGT
CGI_10018037& AGGCATTAGAGTCACCCGGCCCACCTGAGTATTGTAG
CGI_10002428** TGGTTCCGACTGTGCTAAGGTGTAACGTCCATCCTC
CGI_10006107** TTCAGGCACAGACCGCTAAGGCAGAGGAATCGACCAG
CGI_10010799* TAACAGAAACGCAGAAACCTCACCATAATAACCAGCATC
CGI_10019046* CCACAGAAACCAGTGCCTATCCATCCGTGTTGTCCCTA
CGI_10021302* GCAACTGTCTGCCAGGATCCAGGCTTACACTTCTCAC
CGI_10013234& GGGTTTAACTGCAATCGACCACTGAAGGCTTGTTCT
CGI_10001011** CTTCAGCACCTCTTGTCATTTCAGACGCTGTTACCC
CGI_10002890** CGGACACTATGTTGGAAGACAAGAGGTGCTGAAGAA
CGI_10023871** ACGTCGGCGATGGGTATACGCACGCATTGAGATTTG
CGI_10015959** TGTTCTACCAAGACCCGTATTTAGTGACCGTCCCAATC
CGI_10026821** AGACCCGAGCCTCACAGATGGCAGCATTAAGAGCATT
CGI_10010439& CCGTGATGCTTGATTTCTCAGGTGGTTGTTGATGCTTA
CGI_10013675* CCCTAACGGACAGTACACCGGACGGATCATCATCTGCA
CGI_10010465* AAATACCAGGGAAGACCATAACCGTGCCTACAAACA
CGI_10013991* GTAAATCGGACAACTGCCCAATTATCCTGCTCATCGT
CGI_10012341& ACAGCGTGATTGTTCTTCTTGGTCAGGGTGTAGTTCG
CGI_10022338* AAGAGCTGCGAGTTGATATTAGGGTTGGCATAGAAA
Neuroendocrine factor receptors DRDCGI_10010352& GAACGAAAGCAGCACCACGAAGGCGTAAGTCCGATG
CGI_10014188& TCATCACTTCCGTTAGCAACCAATACCATCACCACC
ADRCGI_10015982& AGGGCATTGAATCCAGTCTGTTTGCGGAGGAGAAAT
CGI_10014189& GCCGAACTCCTGCTCCTACACGCTTGGTAATACTGCTCTT
GABRCGI_10013184& GGTCGTAGGGTCAAAGGGAGTCCGAGTGCTGGTGCT
CGI_10027781& TGGCTGGCATTTCTGTTGGAAGGTGGGAGCGGATAA
Immunomodulatory factors IL-17CGI_10025754& CCCACGAATCTTGCTGAAGGGACGCTACGAGGAAAT
IL-17RCGI_10021486& AAAAGTCGCTGATAAAGGCTGCTTGGTCCATAGAGT
CGI_10000871& GGACGACTGGTTGATTGACACAGCGACAGCAAAGTA
CGI_10002512& GTCTCGGTTCATCGTAGCGATTGCCAAACTTGACACTA
Antimicrobial peptides Cg-BPIAY165040AGTGCACAGTCGAAGGAAGGAAGCCGGGGGTCTTACATTG
Cg-BigDefensin-1JF703138.1TTTTGGTTTCGCCTGCTTCCCAGCCCTGCGTAAGATGCTA
Cg-BigDefensin-2JF703145.1GTGCAGACCGACCTGCTATTGGTCTGCAGCACCTGTATGA
Cg-BigDefensin-3JF703148.1TGACAGTCATTCGTGTGCCACCAAACGTGTTTGCCCAGTC
Cg-Defensin-1FJ669422.1TCCGGGTGACCAGTATGAGTACAGCATTCATTGCTATCCCA
Cg-Defensin-2FJ669345.1TTGGTCGTTCTCCTGATGGTCAGTAGCCCGCTCTACAACC
Reference gene CgEF-1AB122066AGTCACCAAGGCTGCACAGAAAGTCCGACGTATTTCTTTGCGATGT

The genes with the superscripts of “*”, “**”, and “&” stood for the DEGs selected for validating the differential expressions in the resting RGD+ hemocytes and RGD- hemocytes (“*”), in the activated RGD+ hemocytes and resting RGD+ hemocytes (“**”), and both in resting RGD+ hemocytes and RGD- hemocytes and in the activated RGD+ hemocytes and resting RGD+ hemocytes (“&”), respectively. Their primer nucleotide sequences were shown.

The information of representative DEGs associated with hemocytes migration, neuroendocrine regulation and immunomodulatory, and AMP genes for qPCR validation. The genes with the superscripts of “*”, “**”, and “&” stood for the DEGs selected for validating the differential expressions in the resting RGD+ hemocytes and RGD- hemocytes (“*”), in the activated RGD+ hemocytes and resting RGD+ hemocytes (“**”), and both in resting RGD+ hemocytes and RGD- hemocytes and in the activated RGD+ hemocytes and resting RGD+ hemocytes (“&”), respectively. Their primer nucleotide sequences were shown.

2.9 The Detection of Migration Rate

Cell migration rates of the resting RGD+, resting RGD-, activated RGD+, and activated RGD- hemocytes were measured by using EMD Millipore MultiScreen™ 96-well assay plates (Millipore, pore size: 5.0 μm) based on a previous description (56). Briefly, the prepared hemocytes were first washed twice with modified Leibovitz L15 medium and resuspended at 5 × 106 cells/ml. Then, calcein AM (Invitrogen, Carlsbad, CA, USA) was added to the suspension at a final concentration of 5 μM to label the cells. After incubation at room temperature for 30 min, the cells were resuspended in 50 μl modified Leibovitz L15 medium and planted in the inserts of the plate whose receiver well was previously added to 150 μl modified Leibovitz L15 medium with 10% fetal bovine serum (FBS, TransGen, Peking, China). The fluorescence of each well was then measured to indicate the total number of hemocytes (Ex/Em = 494/517). After 60 min of incubation, the undersides of the inserts and the receiver were carefully washed and swabbed using modified Leibovitz L15 medium to remove all migrated cells. The fluorescence of each well was measured again to indicate the total number of non-migrants. Migration rates were subsequently calculated after all trials were conducted with three replicates. Cells seeded into plates with modified Leibovitz L15 medium and without FBS were used as negative controls. For the dopamine receptor blocking assay, the resting RGD+ and activated RGD+ hemocytes were previously incubated with SCH 23390 (specific antagonist for D1DR) for 1 h, followed by the detection of migration rates. There were three replicates for each sample.

2.10 Immunofluorescence Analysis

The expression changes of representative IL-17 (CgIL17-1) (57) at the protein level in RGD+ hemocytes after V. splendidus challenge were analyzed by immunofluorescence assay. In brief, resting RGD+ hemocytes and activated RGD+ hemocytes were plated onto glass-bottom culture dishes for 1 h of cell adhesion. Cells were washed with PBS and fixed with 4% PFA at room temperature for 15 min before they were permeabilized with 0.1% Triton X-100 for 10 min. Cells were blocked with 3% BSA in PBS-Tween for 1 h and incubated with the mouse antiserum against CgIL17-1 (46, 58) previously prepared in our lab (1:100-diluted in PBS-Tween) at room temperature for 1 h. Then, hemocytes were extensively washed with PBS-Tween and incubated with Alexa Fluor 594-labeled goat anti-mouse IgG (1:500-diluted in PBS-Tween) for 1 h, followed by incubation in DAPI (US Everbright, Inc., Greenfield, WI, USA) for 10 min. The hemocytes were washed, and fluorescence images were captured using a Carl Zeiss LSM 710 confocal microscope (Carl Zeiss, Germany). The red fluorescence intensity of Alexa Fluor 594 was analyzed by Zeiss software to reflect the changes in CgIL17-1 protein expression. The unimmunized mouse serum and commercial Alexa Fluor 594-labeled goat anti-mouse IgG were used as the controls for the primary and secondary antibodies, respectively.

2.11 Statistical Analysis

A two-sample Student’s t-test was used for all comparisons between groups in this study. Statistical analyses were carried out using GraphPad Prism 5 software, and all results were reported as the means ± SD. Statistical significance was defined at p < 0.05.

3 Results

3.1 The Labeling of RGD+ Hemocytes and Their Response to V. splendidus Challenge

Confocal microscopic analysis revealed that FITC-conjugated RGDCP could label a small portion of hemocytes (RGD+ hemocytes) from the oyster C. gigas with a circle of green fluorescent signals on their surfaces ( ). Flow cytometric analysis showed that RGD+ hemocytes accounted for 8.7% of the whole hemocytes in the blank oysters (designated resting RGD+ hemocytes, ), which was consistent with previously reported results (39). The hemocytes with negative signals accounted for the majority of oyster hemocytes representing multiple cell types and were assigned as RGD- hemocytes ( ). After challenge with V. splendidus for 12 and 24 h, the percentage of RGD+ hemocytes significantly increased to 13.4% and 18.1%, respectively ( ).
Figure 2

Fluorescent labeling of C. gigas RGD+ hemocytes and their response to V. splendidus challenge. (A) Immunofluorescence analysis of numerary changes in C. gigas RGD+ hemocytes after stimulation with V. splendidus. FITC-conjugated RGDCP-labeled oyster integrins on cell membranes are indicated in green, and the cell nucleus stained with DAPI is indicated in blue. Bar = 5 μm. (B) Flow cytometry analysis of numerary changes in C. gigas RGD+ hemocytes after stimulation with V. splendidus. FITC-positive cells and RGD+ hemocytes were gated as P1.

Fluorescent labeling of C. gigas RGD+ hemocytes and their response to V. splendidus challenge. (A) Immunofluorescence analysis of numerary changes in C. gigas RGD+ hemocytes after stimulation with V. splendidus. FITC-conjugated RGDCP-labeled oyster integrins on cell membranes are indicated in green, and the cell nucleus stained with DAPI is indicated in blue. Bar = 5 μm. (B) Flow cytometry analysis of numerary changes in C. gigas RGD+ hemocytes after stimulation with V. splendidus. FITC-positive cells and RGD+ hemocytes were gated as P1. To investigate the morphological and functional features of RGD+ hemocytes, resting RGD+ hemocytes and RGD+ hemocytes from oysters stimulated with V. splendidus for 24 h (designated activated RGD+ hemocytes) were obtained by using FACS. The sorting purities were 88.6% and 98.5% for the resting RGD+ hemocytes and the activated RGD+ hemocytes, respectively ( ).

3.2 Morphological and Biochemical Features of RGD+ Hemocytes

The cytochemical staining of the resting RGD+ hemocytes and RGD- hemocytes was compared to reveal the morphological features of RGD+ hemocytes. Wright, Giemsa, and HE staining revealed that the resting RGD+ hemocytes represented the population of smaller cells 5–10 µm in diameter in the whole oyster hemocytes, while most resting RGD- hemocytes were 8–15 µm in diameter ( ). Meanwhile, the resting RGD+ hemocytes were characterized by a relatively smaller cytoplasmic–nucleo (C: N) ratio and fewer large granules in the cytoplasm than the resting RGD- hemocytes ( ). For MPO staining, the positive brown precipitates replenished the cytoplasm of the resting RGD+ hemocytes but regionally in the resting RGD- hemocytes ( ).
Figure 3

Morphological and cytochemical features of C. gigas RGD+ hemocytes. (A) The cytochemical staining of resting RGD+/RGD- hemocytes. Resting RGD+/RGD- hemocytes were stained for Wright, Giemsa, HE, and MPO. The upper panel and lower panel show cytochemical staining of sorted resting RGD+ hemocytes and RGD- hemocytes, respectively. The differences in (B) intracellular Ca2+ and (C) ROS levels between resting RGD+ and RGD- hemocytes. The double asterisk (**) stands for statistical significance at p < 0.01.

Morphological and cytochemical features of C. gigas RGD+ hemocytes. (A) The cytochemical staining of resting RGD+/RGD- hemocytes. Resting RGD+/RGD- hemocytes were stained for Wright, Giemsa, HE, and MPO. The upper panel and lower panel show cytochemical staining of sorted resting RGD+ hemocytes and RGD- hemocytes, respectively. The differences in (B) intracellular Ca2+ and (C) ROS levels between resting RGD+ and RGD- hemocytes. The double asterisk (**) stands for statistical significance at p < 0.01. Flow cytometric analysis was conducted to compare the differences in the levels of Ca2+ and ROS between resting RGD+ hemocytes and RGD- hemocytes ( ). The Ca2+ level indicated by the MFI value was 1.27 × 104 in the resting RGD+ hemocytes, and it was significantly higher than that of 0.40 × 104 in the resting RGD- hemocytes (p < 0.05). The ROS level indicated by the MFI value was 9.56 × 104 in the resting RGD+ hemocytes, and it was also significantly higher than that of 5.67 × 104 in the resting RGD- hemocytes (p < 0.05, ). These results indicated that RGD+ hemocytes were a type of cell with a smaller size and C:N ratio, fewer large granules, and higher levels of myeloperoxidase, Ca2+, and ROS in the cytoplasm.

3.3 The Migration Activity of RGD+ Hemocytes Before or After V. splendidus Challenge

Given the key roles of RGD-binding integrins in cell migration, the migration activity of RGD+ hemocytes was detected to reveal their functional characteristics in C. gigas. The results showed that the migration rate of the resting RGD+ hemocytes was significantly higher than that of the resting RGD- hemocytes before challenge with V. splendidus (36.98% vs. 23.12%, p < 0.01, ). After challenge with V. splendidus for 24 h, the migration rate of whole oyster hemocytes significantly increased from 31.04% to 46.25% compared to that of the blank group (p < 0.01, ). The migration rate of the activated RGD+ hemocytes (53.75%) was also significantly higher than that in the resting RGD+ hemocytes of 36.98% (p < 0.01, ), while the migration rate of RGD- hemocytes was 25.74% after challenge with V. splendidus for 24 h, which was not significantly different from that in the blank group oysters of 23.12% (p > 0.05, ). These results indicated that the RGD+ hemocytes showed high migration activity before challenge with V. splendidus, and the migration activity could be further induced after challenge with V. splendidus.
Figure 4

The migration activity of RGD+ hemocytes before and after V. splendidus stimulation. The double asterisk (**) stands for statistical significance at p < 0.01, and “NS” represents no statistical significance.

The migration activity of RGD+ hemocytes before and after V. splendidus stimulation. The double asterisk (**) stands for statistical significance at p < 0.01, and “NS” represents no statistical significance.

3.4 Comparative Transcriptome Analysis of Resting RGD+ and RGD- Hemocytes

A total of 13,292 DEGs were identified between the resting RGD+ hemocytes and RGD- hemocytes, among which 6,767 genes were significantly more highly expressed and 6,525 genes were expressed at significantly lower levels in the resting RGD+ hemocytes than in the RGD- hemocytes ( ). These DEGs were further annotated according to the GO and KEGG databases. A GO enrichment analysis of the top 60 significantly more highly expressed terms in the resting RGD+ hemocytes compared to those of the resting RGD- hemocytes showed that 11 enriched GO terms were associated with cytoskeletal rearrangement and cell adhesion ( ). A KEGG pathway analysis revealed that 20 significantly higher-expressed items were also mainly related to cytoskeletal rearrangement and cell adhesion in the resting RGD+ hemocytes, including the “adherens junction,” “cell adhesion molecules (CAMs),” “regulation of actin cytoskeleton,” “ECM–receptor interaction,” and “focal adhesion” ( ).
Figure 5

Transcriptome analysis of resting RGD+ hemocytes. (A) Top 60 GO terms enriched in the significantly upregulated genes in the resting RGD+ hemocytes compared to the resting RGD- hemocytes. (B) Top 20 KEGG pathway items enriched in the significantly upregulated genes in the resting RGD+ hemocytes compared to the resting RGD- hemocytes. (C) qPCR validation of the 40 selected DEGs involved in the formation of protrusions and firm adhesions at the front and contractions at the rear in resting RGD+ hemocytes compared to resting RGD- hemocytes. RGD+ and RGD- represent the resting RGD+ and RGD- hemocytes, respectively. The asterisk (*) stands for statistical significance at p < 0.01.

Transcriptome analysis of resting RGD+ hemocytes. (A) Top 60 GO terms enriched in the significantly upregulated genes in the resting RGD+ hemocytes compared to the resting RGD- hemocytes. (B) Top 20 KEGG pathway items enriched in the significantly upregulated genes in the resting RGD+ hemocytes compared to the resting RGD- hemocytes. (C) qPCR validation of the 40 selected DEGs involved in the formation of protrusions and firm adhesions at the front and contractions at the rear in resting RGD+ hemocytes compared to resting RGD- hemocytes. RGD+ and RGD- represent the resting RGD+ and RGD- hemocytes, respectively. The asterisk (*) stands for statistical significance at p < 0.01. Forty DEGs between the resting RGD+ and RGD- hemocytes that have been reported to mediate cell migration were selected, and their expression levels were verified by qPCR ( ). Among them, three out of four types of genes that were reported to mediate protrusions and adhesion at the front edge of migrating cells were more highly expressed in resting RGD+ hemocytes than in resting RGD- hemocytes, including ECM–integrin interaction-related genes, PI3Ks, actins, and GTPases. Specifically, 23 out of 27 ECM–integrin interaction-related genes, a PI3K gene, and four actin genes were expressed at significantly higher levels, while three small GTPase genes were expressed at lower levels in resting RGD+ hemocytes than in resting RGD- hemocytes ( ). In addition, three types of genes, Rho, ROCK, and MLCK, reported to mediate contraction at the rear of migrating cells were also more highly expressed in resting RGD+ hemocytes than in resting RGD- hemocytes, including two Rho genes, a ROCK gene and a MLCK gene ( ). These results showed that the genes reported to be involved in the protrusions and adhesion at the front edge and the contraction at the rear of migrating cells were overall more highly expressed in the resting RGD+ hemocytes than in the resting RGD- hemocytes.

3.5 The Molecular Basis for the Enhanced Migration of RGD+ Hemocytes After V. splendidus Challenge

Given that the migration rate of RGD+ hemocytes but not RGD- hemocytes significantly increased after V. splendidus challenge, transcriptome data from activated RGD+ hemocytes and resting RGD+ hemocytes were also comparatively analyzed to explore the molecular basis for the enhanced migration activity of RGD+ hemocytes after V. splendidus challenge. Unexpectedly, in addition to the conserved genes reported to be involved in cell migration, the neuroendocrine system genes also showed overall upregulated expression levels in RGD+ hemocytes after V. splendidus challenge. The results are summarized as follows.

3.5.1 Conserved Genes Involved in Cell Migration

Compared to those in the resting RGD+ hemocytes, 7,011 genes were significantly upregulated and 7,145 genes were significantly downregulated in activated RGD+ hemocytes ( ). GO analysis showed that three cell migration-related GO terms, namely, “small GTPase mediated signal transduction,” “GTPase activity,” and “motor activity,” were significantly enriched in the activated RGD+ hemocytes compared to those in the resting RGD+ hemocytes ( ). The KEGG pathway analysis also revealed that cell migration-related KEGG pathways, including adherens junction, regulation of actin cytoskeleton, and focal adhesion, were significantly enriched in the activated RGD+ hemocytes compared to those in the resting RGD+ hemocytes ( ).
Figure 6

Transcriptome analysis revealing the molecular basis of the enhanced C. gigas RGD+ hemocyte migration in response to V. splendidus infection. (A) Top 60 GO terms enriched in the significantly upregulated genes in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes. (B) Top 20 KEGG pathway items enriched in the significantly upregulated genes in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes. (C) qPCR validation of the selected 38 DEGs involved in the formation of protrusions and firm adhesions at the front and contractions at the rear in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes. RGD+ and RGD+ (+) represent the resting RGD+ and the activated RGD+ hemocytes, respectively. The asterisk (*) stands for statistical significance at p < 0.01.

Transcriptome analysis revealing the molecular basis of the enhanced C. gigas RGD+ hemocyte migration in response to V. splendidus infection. (A) Top 60 GO terms enriched in the significantly upregulated genes in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes. (B) Top 20 KEGG pathway items enriched in the significantly upregulated genes in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes. (C) qPCR validation of the selected 38 DEGs involved in the formation of protrusions and firm adhesions at the front and contractions at the rear in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes. RGD+ and RGD+ (+) represent the resting RGD+ and the activated RGD+ hemocytes, respectively. The asterisk (*) stands for statistical significance at p < 0.01. Thirty-eight genes related to cell migration were selected from the transcriptome data from the activated RGD+ hemocytes and resting RGD+ hemocytes, and their expression levels were further verified by qPCR ( ). Among the genes reported to mediate the protrusions and adhesion at the front edge of migrating cells, four actin genes and a PI3K gene were upregulated in the activated RGD+ hemocytes compared to those in the resting RGD+ hemocytes ( ). Interestingly, three small GTPase genes were also all upregulated in the activated RGD+ hemocytes compared to those in the resting RGD+ hemocytes ( ). Most ECM–integrin interaction-related genes were downregulated in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes, with the upregulation of 17 out of 26 genes. On the other hand, three types of molecules, namely, most Rho, ROCK, and MLCK genes associated with the contractions at the rear of migrating cells, were overall upregulated in the activated RGD+ hemocytes compared to those in the resting RGD+ hemocytes, including two Rho genes, a MLCK gene and a ROCK gene ( ).

3.5.2 Neuroendocrine System Genes in Regulating Cell Migration

It has been reported in mammals that the neuroendocrine system plays a crucial role in regulating cell migration activity (59). The expression profiles of neuroendocrine system genes were analyzed to reveal the potential regulatory mechanism of the migration activity of RGD+ hemocytes after V. splendidus challenge. KEGG pathway analysis showed that the expression of excitatory neuroendocrine factor receptors, including four DRD (dopamine receptor D) genes and 12 ADR (adrenaline receptor) genes, was downregulated overall, while the expression of inhibitory neuroendocrine factor receptors, including three GABR (GABA receptor) genes, was upregulated in resting RGD+ hemocytes compared to that in the resting RGD- hemocytes ( ). In contrast, the expression of these excitatory neuroendocrine factor receptors was upregulated, while the expression of these inhibitory neuroendocrine factor receptors was downregulated overall in activated RGD+ hemocytes compared to that in the resting RGD+ hemocytes ( ). Representative neuroendocrine factor receptor genes, including two DRD, two ADR, and two GABR genes, were selected, and their expression levels verified by qPCR were similar as those acquired through transcriptome data ( ). The expression of the excitatory neuroendocrine factor receptor genes in RGD+ hemocytes changed from an overall low level to a high level after the challenge with V. splendidus, while the expression of the inhibitory neuroendocrine factor receptor genes was the opposite, displaying a sophisticated neuroendocrine regulatory mechanism on the migration activity of RGD+ hemocytes.
Figure 7

The involvement of the neuroendocrine system in regulating migration activity in response to V. splendidus. (A) qPCR validation of differentially expressed neuroendocrine factor receptor genes in resting RGD+ hemocytes compared to resting RGD- hemocytes and in activated RGD+ (+) hemocytes compared to resting RGD+ hemocytes. (B) The dendrogram tree of the four differentially expressed DRDs. (C) Changes in migration activity after RGD+ hemocytes were blocked by a D1DR receptor inhibitor. The double asterisks (**) indicate statistical significance at p < 0.01, and the asterisk (*) indicates statistical significance at p < 0.05.

The involvement of the neuroendocrine system in regulating migration activity in response to V. splendidus. (A) qPCR validation of differentially expressed neuroendocrine factor receptor genes in resting RGD+ hemocytes compared to resting RGD- hemocytes and in activated RGD+ (+) hemocytes compared to resting RGD+ hemocytes. (B) The dendrogram tree of the four differentially expressed DRDs. (C) Changes in migration activity after RGD+ hemocytes were blocked by a D1DR receptor inhibitor. The double asterisks (**) indicate statistical significance at p < 0.01, and the asterisk (*) indicates statistical significance at p < 0.05. To further verify the regulatory role of the neuroendocrine system in the migration activity of RGD+ hemocytes, a blocking assay of dopamine receptors was conducted. For the choice of effective agonists, the categories of four oyster dopamine receptors identified from transcriptome data were analyzed. According to the topological structure of the dendrogram, all dopamine receptors from various species could be clearly divided into two major categories, D1-type dopamine receptor (D1DR) and D2-type dopamine receptor (D2DR, ). The four oyster dopamine receptors, in which CGI_10014188, CGI_10000942, and CGI_10028759 were grouped into a distinct branch, might be oyster-specific dopamine receptors, and CGI_10010352 could be well clustered with D1DR ( ). Therefore, the commercial agonist SCH 23390, a specific agonist of D1DR, was employed to block the RGD+ hemocytes. After agonist treatment, the migration rate of the resting RGD+ hemocytes significantly declined from 36.98% to 19.23% (p < 0.01, ), and the migration rate of the activated RGD+ hemocytes also significantly decreased (53.75% vs. 35.56%, p < 0.01, ). These results confirmed that excitatory neuroendocrine factors such as dopamine exerted an accelerative role in the migration of RGD+ hemocytes.

3.6 The Immunomodulatory Role of RGD+ Hemocytes in Antimicrobial Immunity

RGD+ hemocytes showed morphological features similar to those of agranulocytes and semigranulocytes in oysters ( ), which have been demonstrated to exert weak encapsulation and phagocytic activities and may not be the main immune killing hemocytes. Therefore, the expression profiles of immunomodulatory factors, including IL-17s, TNFs, and AMPs, were analyzed to reveal the immunomodulatory role of RGD+ hemocytes in the antimicrobial immunity of oysters. The results are summarized as follows.

3.6.1 The Expression Profiles of Immunomodulatory Factor Genes in RGD+ Hemocytes

The expression levels of differentially expressed IL-17s and their receptor genes were overall downregulated in the resting RGD+ hemocytes with respect to the resting RGD- hemocytes before V. splendidus challenge but significantly upregulated after V. splendidus challenge ( ). Conversely, the expression levels of TNFs and their receptor genes were overall downregulated after V. splendidus challenge ( ). The representative IL-17 previously reported as CgIL17-1 (CGI_10025754) (57) and three IL-17 receptor genes were selected, and their expression levels were verified by qPCR, with the results showing that the expression patterns of these genes were similar to those acquired through transcriptome data ( ). In addition, an immunofluorescence assay was performed to further detect the protein expression level of CgIL17-1 in RGD+ hemocytes after V. splendidus challenge ( ). Although the protein content of CgIL17-1 was low in oyster hemocytes, the analysis of fluorescent intensity showed that the protein level of CgIL17-1 in the activated RGD+ hemocytes was significantly higher than that in the resting RGD+ hemocytes ( ). Consistent with the mRNA expression profiles, oyster IL17 proteins also showed a significant upregulation in RGD+ hemocytes after V. splendidus challenge, indicating that the IL-17 signaling pathway might play key immunomodulatory roles in RGD+ hemocytes.
Figure 8

The expression profiles of IL-17s and their receptor genes. (A) qPCR validation of differentially expressed IL-17s and their receptor genes in resting RGD+ hemocytes compared to resting RGD- hemocytes and in activated RGD+ hemocytes compared to resting RGD+ hemocytes. (B) Immunofluorescence validation of CgIL17-1 (CGI_10025754) in activated RGD+ hemocytes compared to resting RGD+ hemocytes. FITC-conjugated RGDCP-labeled oyster integrins on cell membranes are indicated in green, the cell nucleus stained by DAPI is indicated in blue, and the CgIL17-1 antibody conjugated with Alexa Fluor 594 is indicated in red. Bar = 5 μm. The asterisk (*) and the double asterisk (**) stand for statistical significance at p < 0.05 and p < 0.01 respectively and “NS” represents no statistical significance.

The expression profiles of IL-17s and their receptor genes. (A) qPCR validation of differentially expressed IL-17s and their receptor genes in resting RGD+ hemocytes compared to resting RGD- hemocytes and in activated RGD+ hemocytes compared to resting RGD+ hemocytes. (B) Immunofluorescence validation of CgIL17-1 (CGI_10025754) in activated RGD+ hemocytes compared to resting RGD+ hemocytes. FITC-conjugated RGDCP-labeled oyster integrins on cell membranes are indicated in green, the cell nucleus stained by DAPI is indicated in blue, and the CgIL17-1 antibody conjugated with Alexa Fluor 594 is indicated in red. Bar = 5 μm. The asterisk (*) and the double asterisk (**) stand for statistical significance at p < 0.05 and p < 0.01 respectively and “NS” represents no statistical significance.

3.6.2 The Expression Profiles of AMP Genes in Oyster Hemocytes

IL-17 has been proven to promote the synthesis and expression of AMP genes, thereby enhancing host antimicrobial immunity (60). To investigate the roles of IL-17 in regulating antimicrobial immunity in RGD+ hemocytes, the expression profiles of six reported AMPs, Cg-Defensin-1~2, Cg-BigDefensin-1~3, and Cg-BPI, in different populations of oyster hemocytes were detected by qPCR ( ). The results showed that these six AMPs all showed a significant upregulation (p < 0.05) in whole hemocytes after V. splendidus challenge ( ). In detail, Cg-BPI, Cg-BigDefensin-1, and Cg-BigDefensin-2 showed a significantly increased (p < 0.05) expression in both RGD+ hemocytes and RGD- hemocytes ( ), and Cg-Defensin-1, Cg-Defensin-2, and Cg-BigDefensin-3 were also significantly (p < 0.05) upregulated in RGD- hemocytes after V. splendidus challenge ( ). Notably, the expression levels of all AMPs in RGD+ hemocytes were significantly lower (p < 0.05) than those in RGD- hemocytes before or after V. splendidus challenge ( ), which was consistent with the morphological observation that RGD+ hemocytes might not be the main immune killing hemocytes.
Figure 9

Changes in the mRNA expression of representative AMPs in different hemocyte populations before and after V. splendidus challenge. The relative expression levels of the reported AMPs, including Cg-BigDefensin-1, Cg-BigDefensin-2, Cg-BigDefensin-3, Cg-Defensin-1, Cg-Defensin-2, and Cg-BPI, in all hemocytes, RGD+ hemocytes, and RGD- hemocytes were detected by qPCR. The letters “a, b, c, etc.” indicate statistical significance at p < 0.05.

Changes in the mRNA expression of representative AMPs in different hemocyte populations before and after V. splendidus challenge. The relative expression levels of the reported AMPs, including Cg-BigDefensin-1, Cg-BigDefensin-2, Cg-BigDefensin-3, Cg-Defensin-1, Cg-Defensin-2, and Cg-BPI, in all hemocytes, RGD+ hemocytes, and RGD- hemocytes were detected by qPCR. The letters “a, b, c, etc.” indicate statistical significance at p < 0.05.

4 Discussion

In invertebrates, studies on hemocyte typing are greatly impeded due to the lack of appropriate cell lines and effective molecular markers (27). Although the migration of whole hemocytes has been observed after pathogen infections, it is still unclear which types or populations of hemocytes migrate at the infection sites to exert immune functions (23, 24). Here, FITC-conjugated RGDCP was used as the probe for RGD-binding integrins of C. gigas, which enabled a specific population of hemocytes, RGD+ hemocytes, to be marked with strong and clear fluorescent signals for cell sorting. Further assays were subsequently performed for the investigation of the cellular and molecular features of RGD+ hemocytes and revealed their potentially high migration activity and immunomodulatory roles against pathogen invasion. The strategy proposed here represents an important step forward in the functional study of specific hemocyte populations during pathogen infection in invertebrates. The RGD+ hemocytes of C. gigas exhibited some distinct morphological features. First, Wright, Giemsa, and HE staining showed that RGD+ hemocytes were smaller, with a diameter of approximately 5–10 μm and with a lower C:N ratio and granularity. It seemed that RGD+ hemocytes shared similar morphological features with agranulocytes and semigranulocytes, which exerted weaker encapsulation and phagocytic activities than granulocytes and might not be the main immune killing hemocytes in C. gigas (61). Second, there were more MPO-positive signals in RGD+ hemocytes. MPO is a leukocyte-specific enzyme that catalyzes the formation of robust oxidants (62, 63). The interaction of integrins and their ligands, such as fibronectins, vitronectins, fibrinogens, and certain laminin isoforms that produce high levels of robust oxidants in cells, has been reported (64), so it is reasonable that the higher MPO level of RGD+ hemocytes is the result of integrin-mediated reactions in oyster hemocytes. Expectedly consistent with the higher MPO level in RGD+ hemocytes, it was confirmed that RGD+ hemocytes also had higher ROS levels in the subsequent detection. Third, the results also demonstrated that the level of Ca2+, an important messenger molecule (65), was higher in RGD+ hemocytes, suggesting frequent Ca2+-related cellular activities in RGD+ hemocytes. Notably, the percentages of RGD+ hemocytes significantly increased after the oysters were challenged with V. splendidus, suggesting the participation of RGD+ hemocytes in immune responses mainly mediated by integrins along with MPO and Ca2+. Further transcriptome analysis revealed that the RGD+ hemocytes of C. gigas were equipped with a series of molecules mediating cell migration. It has been well accepted that the combined effect of protrusions and firm adhesions at the front and contractions and detachments at the rear is what makes the cell move forward (12). In the present study, the results revealed that a larger proportion of cell migration-related genes, including 23 out of 27 ECM–integrin interaction-related genes and PI3K and four actin genes, were highly expressed in RGD+ hemocytes before V. splendidus challenge. Correspondingly, ECM–integrin interaction-related molecules that are vital for the formation of tight adhesion points (66–68), PI3K, which is an activation molecule associated with migration-related signaling pathways (69), and actin, which is the central player in cell migration for rapid actin polymerization (70), have been proven to play different roles in the formation of protrusions and adhesions at the front of migrating cells (12). The results also showed that the tested two Rho, ROCK, and MLCK genes were highly expressed in RGD+ hemocytes before V. splendidus challenge. Rho, ROCK, and MLCK have been reported to be able to activate the molecular motor myosin to provide contractile forces, leading to contractions at the rear of migrating cells (71–73). Therefore, our transcriptomic results revealed that RGD+ hemocytes highly expressed a number of migration-related genes. In accordance with the transcriptomic results, the detection of migration rates of different populations of oyster hemocytes confirmed that the RGD+ hemocytes showed a higher migration activity before V. splendidus challenge, suggesting the potential migration capability of the RGD+ hemocytes even under resting conditions. To our knowledge, these findings represent the first molecular and functional evidence revealing a subpopulation of hemocytes with high migration activity in an invertebrate. More importantly, the detection of migration rates showed that the migration activity enhanced by V. splendidus challenge only occurred in RGD+ hemocytes, indicating the specific functional characteristics of this hemocyte population. To investigate the molecular basis for the enhanced migration activity of RGD+ hemocytes after V. splendidus challenge, the transcriptome data from the activated RGD+ hemocytes and resting RGD+ hemocytes were further compared. Expectedly, the genes mediating the formation of protrusions and firm adhesions at the front of migrating cells, such as PI3K and actin (12), and the genes involved in the formation of contractions and detachments at the rear of migrating cells, such as Rho, ROCK, and MLCK (73), were upregulated in the activated RGD+ hemocytes compared to the resting RGD+ hemocytes. In addition, the expression levels of three tested small GTPases, including CDC42 and two Ras genes, were also upregulated in RGD+ hemocytes after V. splendidus challenge. Small GTPases such as Ras and CDC42 have been reported as core regulators of cell migration that associate with lipid membranes and act to choreograph molecular events and play critical roles in coordinating force generation by driving the formation of cellular protrusions as well as cell–cell and cell–matrix adhesions (74, 75). Therefore, the upregulation of small GTPase genes could be more favorable for RGD+ hemocyte migration after V. splendidus challenge. Moreover, 17 out of 26 DEGs associated with ECM–integrin interactions were downregulated in RGD+ hemocytes after V. splendidus challenge. Previous studies have shown in mammals that proper ECM–integrin interactions are vital for the formation of tight adhesion points, meaning that excessive ECM–integrin interactions increase the obstruction of mammalian leukocyte migration and inhibit cell migration (14, 76). Hence, the proper downregulation of ECM–integrin interaction genes was speculated to be more supporting for RGD+ hemocyte migration after V. splendidus challenge. Collectively, the upregulation of migration-promoting genes and downregulation of migration-inhibiting genes possibly together endowed RGD+ hemocytes with enhanced migration activity after V. splendidus infection. Recently, an increasing number of studies in mammals have revealed that excitatory and inhibitory neuroendocrine factors can antagonistically regulate the activity of cell movement in addition to together supporting the behavior of animal movement (59, 77). Excitatory neuroendocrine factors such as L-adrenaline and L-dopamine induce the cell migration of embryonic neural progenitor cells through the activation of α1 adrenergic receptors and the dopamine D1 receptor, respectively (78). The role of inhibitory neuroendocrine factors in cell migration seems to be the opposite, with GABA inhibiting tumor cell migration dependent on Ca2+ (79). In C. gigas, circulating hemocytes can self-synthesize and secrete neuroendocrine factors, including dopamine, adrenaline, and GABA, which regulate multiple cellular immune processes, including cell phagocytosis and apoptosis (80–82). In the present study, transcriptomic analyses revealed that the expression of excitatory neuroendocrine factor receptor genes in RGD+ hemocytes changed from an overall low level to a high level after challenge with V. splendidus, while the expression change in inhibitory neuroendocrine factor receptor genes was the opposite. Correspondingly, a further blocking assay showed a significant decrease in the migration rate of RGD+ hemocytes after blocking the dopamine D1 receptor, demonstrating the stimulatory role of oyster dopamine signaling in cell migration like that in mammals. The regulatory role of other neuroendocrine factors, especially the inhibitory neuroendocrine factor GABA, in RGD+ hemocyte migration was not confirmed in this study, while the highly conserved roles of GABA and its synthetase in the neuroendocrine system have been revealed in oysters (83, 84). According to the observations on the roles of the mammalian neuroendocrine system in cell migration, the upregulation of excitatory neuroendocrine factor receptor genes and the downregulation of inhibitory neuroendocrine factor receptor genes in RGD+ hemocytes might also be linked to the enhanced migration activity of RGD+ hemocytes after V. splendidus challenge. In mammals, leukocytes migrate to the infection sites to directly clear invading microbes and often produce various cytokines (e.g., TNFs and ILs) that regulate immune defense responses (3, 5). In the present study, RGD+ hemocytes showed the similar morphological features as those of agranulocytes and semigranulocytes in oysters, which are generally considered as non-immune killing hemocytes. Hence, the immunomodulatory roles they played after migrating to the infection sites were further evaluated. First, the expression profiles of important immunomodulatory factors, including TNFs, IL-17s, and their receptor genes, from transcriptome data were systematically analyzed in RGD+ hemocytes before and after V. splendidus challenge. The results showed that the expression of IL-17s and their receptor genes was overall low in resting RGD+ hemocytes before V. splendidus challenge but significantly upregulated after V. splendidus challenge. Immunofluorescence analysis further demonstrated the upregulation of the CgIL-17-1 protein in RGD+ hemocytes after V. splendidus challenge. Conversely, the expression levels of TNFs and their receptor genes were overall downregulated after V. splendidus challenge. These results indicated the specific accumulation of IL-17s and their receptors in RGD+ hemocytes following V. splendidus challenge. IL-17 is initially characterized by a proinflammatory role in inflammatory responses induced by pathogen infections, while it has been recently reported to promote the synthesis and expression of AMPs, thereby enhancing antimicrobial immunity (60). For example, in mice, the upregulation and release of IL-17A and IL-17F in neutrophils can induce the expression of AMPs in epithelial cells to withstand Candida albicans, which represents the paracrine regulation pattern of IL-17 for AMPs (85). Archer et al. also confirmed that IL-17A and IL-17F were critical for AMP production and clearance of Staphylococcus aureus in mice (86). In C. gigas, the upregulated co-expression of four CgIL-17s and Cg-BigDefesin-1 has been observed after LPS or V. splendidus stimulation (87, 88). The silencing of the transcription factor CgRel by RNAi can not only cause the downregulation of CgIL-17 expression but also hamper the expression of AMPs (88). The above evidence supports the conserved roles of IL-17s in regulating AMP production in both vertebrates and invertebrates. Therefore, the expression profiles of all six reported AMPs were further analyzed to reveal the immune functions of RGD+ hemocytes highly expressing IL-17s. The results showed that the expression of all six tested AMPs was significantly upregulated in whole hemocytes, especially in RGD- hemocytes, representing the majority of oyster hemocytes after V. splendidus challenge, which shared a positive correlation with the induced increase in IL-17 gene expression in RGD+ hemocytes. These findings collectively suggested that RGD+ hemocytes might not be the main immune killing cells but a group of immunomodulatory cells with high migration activity in oysters. In summary, a population of hemocytes in the oyster C. gigas, RGD+ hemocytes, was obtained and identified as a small group of cells with similar cellular morphology as agranulocytes and semigranulocytes. RGD+ hemocytes highly expressed a series of genes related to cell migration to support their higher migration activity, and their migration activity was further enhanced after V. splendidus challenge, probably due to the downregulation of migration inhibiting-related genes and the upregulation of migration promoting-related genes. The migration activity of RGD+ hemocytes might be also controlled by the cooperation of dopamine and GABA neuroendocrine systems during V. splendidus infection, among which the excitatory neuroendocrine factor dopamine ultimately promoted the migration of RGD+ hemocytes. Meanwhile, the gene expression data suggested that RGD+ hemocytes might exert an immunomodulatory role in C. gigas, with highly expressed IL-17s to promote AMP production in whole hemocytes after V. splendidus infection. These findings may offer new insights into the main types of migrating hemocytes and their immune defense mechanisms against microbial infection in C. gigas and add to the theoretical basis of cellular immunity mediated by RGD+ hemocytes in invertebrates ( ).
Figure 10

A supposed path to enhance antimicrobial immunity mediated by RGD+ hemocytes in C. gigas. (A) The migration activity of C. gigas RGD+ hemocytes was enhanced by stimulation with V. splendidus. (B) The molecular mechanisms for the mediation of high migration activity in C. gigas RGD+ hemocytes. The downregulation of integrin–ECM interactions and the upregulation of migration-promoting genes and migration-related genes enhanced the migration activity of RGD+ hemocytes in response to V. splendidus infection. In addition, the migration activity of RGD+ hemocytes was regulated by neuroendocrine factors, among which the excitatory neuroendocrine factor dopamine especially promoted the migration of RGD+ hemocytes. (C) The molecular mechanisms for the regulation of antimicrobial immunity of C. gigas RGD+ hemocytes. RGD+ hemocytes highly expressed the immunomodulatory factor IL-17s and their receptor genes, which might promote the production of AMPs in whole hemocytes to enhance antimicrobial immunity.

A supposed path to enhance antimicrobial immunity mediated by RGD+ hemocytes in C. gigas. (A) The migration activity of C. gigas RGD+ hemocytes was enhanced by stimulation with V. splendidus. (B) The molecular mechanisms for the mediation of high migration activity in C. gigas RGD+ hemocytes. The downregulation of integrin–ECM interactions and the upregulation of migration-promoting genes and migration-related genes enhanced the migration activity of RGD+ hemocytes in response to V. splendidus infection. In addition, the migration activity of RGD+ hemocytes was regulated by neuroendocrine factors, among which the excitatory neuroendocrine factor dopamine especially promoted the migration of RGD+ hemocytes. (C) The molecular mechanisms for the regulation of antimicrobial immunity of C. gigas RGD+ hemocytes. RGD+ hemocytes highly expressed the immunomodulatory factor IL-17s and their receptor genes, which might promote the production of AMPs in whole hemocytes to enhance antimicrobial immunity.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: NCBI, accession ID: PRJNA826541.

Ethics Statement

All experiments involving animals reported in this study were approved by the Ethics Committee of the Institute of Oceanology, Chinese Academy of Sciences.

Author Contributions

ZL, LQ, and LS conceived and designed the experiments and wrote the manuscript. LQ revised the manuscript. ZL performed the experiments and analyzed the data. LQ and QL contributed reagents, materials, and analysis tools. ZL, LW, WW, and ZQL contributed to the discussion. All authors contributed to the article and approved the submitted version.

Funding

This research was supported by the National Natural Science Foundation of China (No. 32072999) and the High Technology Project (863 Program, No. 2014AA093501) from the Chinese Ministry of Science and Technology.

Conflict of Interest

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.

Publisher’s Note

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.
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