- Research article
- Open Access
MicroRNA expression profiling of goat peripheral blood mononuclear cells in response to peste des petits ruminants virus infection
© The Author(s) 2018
- Received: 1 February 2018
- Accepted: 29 May 2018
- Published: 16 July 2018
Peste des petits ruminants virus (PPRV) belongs to the genus Morbillivirus that causes an acute and highly contagious disease in goats and sheep. Virus infection can trigger the change in the cellular microRNA (miRNA) expression profile, which play important post-transcriptional regulatory roles in gene expression and can greatly influence viral replication and pathogenesis. Here, we employed deep sequencing technology to determine cellular miRNA expression profile in goat peripheral blood mononuclear cells (PBMC) infected with Nigeria 75/1 vaccine virus, a widely used vaccine strain for mass vaccination programs against Peste des petits ruminants. Expression analysis demonstrated that PPRV infection can elicit 316 significantly differentially expressed (DE) miRNA including 103 known and 213 novel miRNA candidates in infected PBMC at 24 hours post-infection (hpi) as compared with a mock control. Target prediction and functional analysis of these DEmiRNA revealed significant enrichment for several signaling pathways including TLR signaling pathways, PI3K-Akt, endocytosis, viral carcinogenesis, and JAK-STAT signaling pathways. This study provides a valuable basis for further investigation of the roles of miRNA in PPRV replication and pathogenesis.
Peste des petits ruminants (PPR) is an acute, highly contagious fatal disease in domestic and small wild ruminants, causing great economic losses in goat and sheep productivity . Peste des petits ruminants virus (PPRV), the causative agent of the disease, belongs to the genus Morbillivirus within the family Paramyxoviridae . Given its economic relevance and severity, PPR is classified as a world organization for animal health (OIE) listed disease [3, 4]. Based on phylogenetic analysis of partial “N” and “F” gene sequences, PPRV can be divided into four different lineages [3–5]. Live attenuated vaccines have already been used for control of PPR and showed a good immunological effect on both sheep and goats [6, 7]. Among these live attenuated vaccines, Nigeria 75/1 and Sungri/96 have been demonstrated to be safe and efficacious in conferring protection to sheep and goats against PPRV infection [7, 8]. PPRV is both lymphotropic and epitheliotropic in nature . PPRV enters lymphoid cells through the signaling lymphocyte activation molecule (SLAM), which is widely expressed on the surface of all immune cells . Peripheral blood mononuclear cells (PBMC) are widely used as a standard in vitro model to study host-PPRV interactions as in other morbillivirus infections [10–13]. Recently, transcriptome analysis of PBMC infected with PPRV uncovered transcription factors modulating immune responses [13, 14]. However, our understanding about the role of cellular microRNA (miRNA) during PPRV infection is still obscure.
MicroRNA are highly conserved small non-coding RNA of 19–24 nucleotides in length and play a critical role in many physiological and pathological processes such as development, proliferation, differentiation, apoptosis, immune response, and tumorigenesis in animals and plants [15–17]. Recently, a substantial number of research has implicated the role of miRNA in viral replication and has indicated they can inhibit or promote viral infection [18, 19]. Virus infection can trigger the changes in the cellular miRNA profile, which can greatly influence viral life cycles, viral tropism, and the pathogenesis of viral diseases [20–23].
In the current study, to explore the importance of miRNA regulation in PPRV infection, a deep sequencing approach was employed to identify differentially expressed miRNA in goat PBMC infected with PPRV Nigeria 75/1 vaccine virus. A bioinformatics analysis demonstrates that the differentially expressed miRNA play a crucial role in the PPRV-host cell interactions. The data suggest that host miRNA might have significant roles in modulating PPRV replication and pathogenesis.
Ethics statement and experimental animals
The animal experiments were carried out in strict accordance with guidelines established by the Ethics of Animal Experiments of Northwest A&F University, Yangling, China. All the protocols were approved by this committee (Permit Number: 2014BAD23B11). Healthy 6-month-old goats used for blood collection were housed in appropriate containment facilities and had ad libitum access to feed and water. Goats were screened and shown negative for PPRV antibodies using competitive ELISA as well as a virus neutralization test.
PBMC isolation and virus infection
Goat PBMC were isolated using Histopaque-1077 (Sigma, USA) by density gradient centrifugation following the manufacturer’s instructions. Then, isolated cells from each goat were suspended into 70 mL RPMI-1640 medium (Hyclone, Logan, UT, USA) supplemented with 10% fetal calf serum (FCS), 2% l-glutamine, 100 mg/mL penicillin, and 100 IU/mL streptomycin. The PPRV vaccine strain, Nigeria 75/1, was obtained from the Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences (Lanzhou, China). Virus stock was prepared by collecting the infected cell supernatant when cytopathic effect (CPE) affected about 80% of the cells. The virus was harvested by three cycles of freezing–thawing and stored at −80 °C and purified by banding on sucrose gradient. The purified virus titers were estimated by calculating 50% tissue culture infective doses (TCID50) using vero cells in 96 well microtitre plates. The purified virus was tested for its infectivity in vero cells and was used further for infection in goat PBMC.
For virus infection, goat PBMC were seeded into six well plates at a density of 1 × 105 cells/mL and were inoculated with Nigeria 75/1 at a multiplicity of infection (MOI) of 1.0. After 1 h of adsorption, infected cells were maintained in RPMI-1640 medium (Hyclone, Logan, UT, USA) containing 2% FCS, 2% l-glutamine and antibiotics. PBMC cells inoculated with similarly purified preparation from triple freezing–thawing vero cells were used as the mock-infected group. Viral infection in PBMC was confirmed with CPE and western blot. The CPE were observed under a light microscope at 0, 24, 48, and 72 hours post-inoculation (hpi). Western blot was performed using a polyclonal antibody against PPRV N protein to determine virus replication at the different time points. Three independent biological replicates of PPRV- and mock-inoculated cultures were prepared at each time point.
Western blot analysis
Protein homogenates from goat PBMC were extracted as previously described . Briefly, the cells were lysed for 20 min on ice in ice-cold lysis buffer (4906837001, Roche). The lysates were centrifuged at 12 000 × g for 20 min at 4 °C to obtain a clear lysate. The protein content of each sample was determined using the BCA Protein Assay Kit (Thermo Scientific). Then, equal amounts of protein were separated on a 12% SDS–polyacrylamide gel and transferred to polyvinylidene difluoride membranes. Membranes were probed overnight at 4 °C with anti-PPRV-N monoclonal antibody provided by China Animal Health and Epidemiology Center (Qingdao, China). All membranes were also probed with anti-β-actin antibody (MA1-744, Invitrogen). The bands were visualized using HRP-conjugated goat anti-mouse IgG (1:15 000, Boster) prior to the ECL protocol (Amersham Biosciences, Piscataway, NJ, USA). Changes in protein expression were determined after normalizing the band intensity of each lane to that of β-actin. Signal was visualized using the Konica SRX 101A developer (Konica Minolta Medical Imaging, Wayne, NJ, USA) and the Quantity One software (Bio-Rad, Mississauga, ON, Canada) was used for densitometrical analysis.
RNA isolation and small RNA library construction
PPRV-infected (n = 3) and mock-infected (n = 3) goat PBMC in six-well cell culture plates (6 × 105 cells/plate) were harvested at 24 hpi and washed three times with ice-cold phosphate buffered saline (PBS). Total RNA from PPRV-infected to mock-infected cells at 24 hpi was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. The total RNA quantity and concentration of both samples were measured with an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA) and the NanoDrop ND-2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). An RNA integrity number score ≥ 8 and rRNA 28S/18S ≥ 1.6 were required in the study. Two groups of total RNA were used for library preparation and sequencing by pooling equal quantities (10 µg) of total RNA isolated from three individual PPRV-infected and mock-infected goat PBMC. Briefly, total RNA were purified by polyacrylamide gel electrophoresis (PAGE) to enrich 15–35 nt molecules, then proprietary adapters were ligated to the 5′ and 3′ terminal of the RNA and the samples were used as templates for cDNA synthesis. The cDNA was amplified using the appropriate number of PCR cycles to produce sequencing libraries, which were subsequently subjected to the proprietary Solexa sequencing-by-synthesis method using the Illumina Genome Analyzer (SanDiego, CA, USA). Sequencing was carried out at the BGI Bio-tech Inc. (Guangzhou, China).
RNA sequencing and data processing
The various steps followed in the present study are summarized in Additional file 1. Raw sequencing reads from each library were first cleaned by removing the low-quality tags and adapter sequences. The reads between 18 and 30 nt were screened against the GenBank database and Rfam (10.1) database  to remove rRNA, tRNA, small nucleolar RNA, small nuclear RNA, repeats, exon and intron sequences. The clean reads were mapped to the capra hircus genome , and their expression and distribution patterns were analyzed using the Short Oligonucleotide Alignment Program (SOAP) . The sRNA were aligned to the miRNA precursors of the reference species (Capra hircus) in the Sanger miRBase 21.0 database to identify known miRNA, as well as the base bias for the first position of the identified miRNA with a certain length and for each position of all of the identified miRNA. By comparing our sequences with those in the databases, sRNA can be annotated into different categories. After excluding sRNA that were identified by the above categories, the unannotated short reads were subjected to novel miRNA prediction using the miReap program. Differential expression analysis between PPRV-infected and mock-infected cells of the two samples was performed using the DEGseq R package. A P value < 0.01 and a │log2 (fold change) │ > 1 were set as the default thresholds for significant differential expression.
miRNA target identification and gene ontology analysis
The target genes for each differentially expressed miRNA were predicted using the miRanda and RNAhybrid algorithms. The predicted target genes were then subjected to gene ontology (GO) functional analysis utilizing the WEGO program to create histograms of GO annotation against cell components, biological processes, and molecular functions . To further explore the biological function of the predicted target genes, a Kyoto Encyclopedia of Genes Genomes (KEGG) pathways enrichment analysis was performed using the KOBAS 2.0 annotation tool.
Quantitative real-time RT-PCR
To validate the sequencing data, we randomly selected nine differentially expressed miRNA for quantitative real-time RT-PCR analysis using Bulge-loop™ miRNA qRT-PCR Primer Sets (one RT primer and a pair of qPCR primers for each set) and performed on ABI 7500 System (Applied Biosystems, Warrington, UK). The primers for selected miRNA and internal standard 5S snRNA are designed by RiboBio Inc. (GuangZhou. China) and the sequences are covered by a patent. Briefly, 10 µg of cDNA was added to 10 µL of the 2 × SYBR green PCR master mix with 0.2 µL of Taq polymerase enzyme (200 U/µL, RiboBio, China), 200 nM of each primer and ddH2O to a final volume of 20 µL. The reactions were amplified for 10 s at 95 °C and 20 s at 60 °C for 40 cycles. The thermal denaturation protocol was run at the end of the PCR to determine the number of products that were presented in the reaction mix. Reactions were typically run in duplicate. The gene 5S was used as the internal reference gene. The relative expression level of each miRNA was calculated using the 2−ΔΔCt method .
Characterization of PPRV replication in goat PBMC
Construction and sequencing data analysis of small RNA libraries
Different expression analysis of miRNA
Target gene prediction for miRNA
Candidate target genes for differentially expressed microRNA (miRNA) in PPRV- versus mock-infected goat PBMC
Up down regulation
TLR4, CD84, LOC108635363, LOC102182927, JKAMP, TNFRSF9, IL4R, TAL1, BMF, TRAF3, IFNGR1, IL2RG, TRAF5, HSPA13, IGSF10
NECTIN4, IKBKG, IL4R
NECTIN4, LOC102182927, CSF2RB
TMEM173, IFNAR1, TRADD, TCP11L1, CDON
SLAMF6, TMEM173, CCAR2, NECTIN4, PBX1, LOC108637844, IL17B, TRIL, GDF2, NFATC3, CD6, LOC106503960, BCL11A, LOC108635335, APAF1, IFRD1, ISLR2, TLR4, IL1RAP, HSPA2, IRF2BPL, NFKB2, IRAK1
IL1RAP, STAM2, TNFSF13B, TLR9
IL23A, TAL2, INSIG1, CD82, SLAM
LOC102172159, SLC13A4, IGFLR1, TLR6, RTP1, ITGB1
TLR4, JAM2, IL1RAP, HSPA2, MTOR, ITGAV, STAM2, TNFSF13B, TLR9
SRP19, IL22RA1, SOCS5, LOC102170232, LOC102178826, TMEM173, AREL1, IL18BP, IGF2BP3
PBXIP1, SOCS2, ACKR1, TNIK, CD244, NCR1, LOC102182927, CASP8, ATG9A, TNIK
CADM2, APAF1, TMEM173, IGF2
IL10, TNFRSF18, BCL11B, LOC106503930, BAX
Gene ontology and KEGG pathway analysis of target genes
Validation of deep sequencing results by quantitative RT-PCR
Deep sequencing has provided a powerful tool to identify differentially expressed miRNA, especially low abundance ones, under conditions of physiological perturbation. Some miRNA can inhibit virus replication by regulating host immune responses or targeting viruses, whereas other miRNA can also promote viral replication by modulating the cellular environment [22, 32, 33]. Although many miRNA have been reported to be key regulators of virus-host interaction, to our knowledge, host miRNA expression profile in goat PBMC affected by PPRV infection has not been investigated. PBMC play an important role in pathogen recognition and induction of early immune response [10, 13, 14]. In the present study, we identified differentially expressed miRNA in goat PBMC in response to PPRV infection. We first determined the morphological changes taking place in cells in succession cells following PPRV infection and analyzed viral replication in PPRV-infected PBMC. Compared to mock-infected cells, significant CPE was observed in PPRV-infected PBMC at 24 hpi, and most cells show swelling or granular degeneration from 48 to 72 hpi. In concordance with high PPRV production detected at 24 hpi by Western blot assay, we chose 24 hpi as the time point to measure the miRNA expression profiles, because it might trigger global and strong antiviral immune responses, and avoid excessive CPE in the PPRV-infected PBMC cells. Detailed analysis revealed many differences in the global expression profile of miRNA among mock- and PPRV-infected goat PBMC. A total of 316 differently expressed miRNA were identified in PPRV-infected groups compared to the mock-infected group.
Individual miRNA have the potential to regulate the expression of multiple mRNA, and the changes in miRNA expression following viral infection are predicted to have profound effects on the host responses [34–36]. In order to evaluate the potential biological roles of DEmiRNA expressed in goat PBMC in response to PPRV infection, we predicated the potential target genes for the DEmiRNA identified in our miRNA sequencing datasets. A total of 12 065 target genes were annotated for 103 known miRNA and 213 novel miRNA differentially expressed both in mock- and PPRV-infected groups. Using the predicted target genes, the GO enrichment analysis revealed that these differentially expressed genes were functionally involved in responses to stimuli, immune system processes, biological regulation, and other cellular processes. The host innate immune system is stimulated once the TLR are engaged with pathogen associated molecular patterns (PAMP) . Previous studies have shown that mRNA levels of TLR3, 7/10 of goat PBMC are upregulated by PPRV vaccine virus Sungri/96 strain infection and these control both the sensing and the proinflammatory and antiviral responses to PPRV [13, 14]. The KEGG pathway analysis in our study further determined that most genes targeted by DEmiRNA were mainly involved in important cellular pathways, including MAPK, PI3K-Akt, endocytosis, Hippo, NF-κB, viral carcinogenesis, FoxO, Jak-STAT and Toll-like receptor signaling pathways. All these functional analyses suggest that, by regulating the target genes, cellular miRNA have a profound effect on the regulation of innate immunity of goat PBMC to PPRV early infection.
Identification of differentially expressed host miRNA is just the first step towards understanding miRNA regulation of host-virus interactions. Then we must identify how the underlying mechanisms that are targeted by differentially expressed miRNA promote or inhibit PPRV replication. Dissection of miRNA modulation during PPRV infection will provide insight into the cellular mechanisms of host-virus interaction. The innate immune response is the first line of defence against viruses [38–40]. Emerging data have identified an important contribution of miRNA to the regulation of innate immune systems [41, 42]. Here, PPRV infection in goat PBMC triggered the expression of many immune-related miRNA, including miR-150, miR-146, and let-7 family as previously observed in spleen and lung tissues of goats infected with PPRV . Furthermore, 15 miRNA were identified from the 316 DEmiRNA co-expressed in two groups based on fold change values and their targeted gene roles in viral infection, antiviral response and apoptosis. Interferon (IFN)-mediated pathway is a crucial part of the cellular response against viral infection . It is known that most of the Morbillivruses antagonize the production of Type I IFN [45–47]. There is evidence that PPRV accessory proteins (V and C) are involved in controlling the host’s interferon responses [45, 46]. However, the latest research indicates that PPRV has a V-independent mechanism for actively inhibiting IFN-β induction in goat non-immune cells infected with wild-type and vaccine strains of PPRV . Although an important role of PPRV protein interaction with host protein in evasion of IFN-induced antivirus effects has been identified [46, 47], little is known about the mechanisms for miRNA regulation of the suppression of IFN induction in PPRV infection. In this study, we found that a member of the interferon regulatory transcription factor IRF3 and interferon alpha/beta receptor IFNAR1 were annotated as gene targets by upregulated miR, chi-miR-323a-3p and chi-miR-1291, respectively. IRF3 and IRF7 play an essential role in the induction of Type I IFN (IFN-α/β). It has been reported that IFN-α/β mRNA were not detected in goat PBMC in response to Sungri/96 PPRV vaccine virus infection . It is important to note that, TMEM173, a major stimulator in IFN production, was targeted by three downregulated DEmiRNA, including chi-miR-1, chi-miR-30b-3p and novel_mir3, and by two upregulated chi-miR-1291 and chi-miR-671-5p in PPRV-infected cells. This may give a new insight into how the post-transcriptional gene regulation mechanisms of PPRV escape IFN signaling.
Previous studies indicated that PPRV infection in goat PBMC can induce a classic inflammatory response characterized by enhanced expression of transcription of cytokines such as TNFα, IL-18, IL-12, IFNγ, IFNβ, as well as anti-inflammatory cytokines, including IL-4 and IL-10 . In this study, it was found that tumor necrosis factor receptor superfamily member TNFRSF9 genes were targeted by chi-miR-1, chi-miR-1291, novel_mir3, while tumor necrosis factor ligand superfamily member TNFSF13B genes were targeted by novel_mir1, novel_mir85 and novel_mir70. Furthermore, it has been previously demonstrated that miRNA play an important role in regulating NF-κB signaling pathway during viral infections  and activation of NF-κB . Our study revealed that NF-κB signaling-related molecules NFKB2 and NFKBIA were targeted by novel_mir3 and chi-miR-155-3p in PPRV infected goat PBMC, respectively.
There is evidence demonstrating that in vitro infection of goat PBMC with PPRV caused apoptosis [51, 52]. Particularly, most of the genes targeted by DEmiRNA in this study are involved in the regulation of cellular apoptosis. In this study, we found that PPRV infection triggered several DEmiRNA, including chi-miR-182, chi-miR-671-5p, novel_mir3, and novel_mir330, that target apoptosis-related genes AREL1, CASP8, APAF1, and BAX in goat PBMC. Henceforth by regulating the target genes, cellular miRNA have a profound effect on the regulation of apoptosis of goat PBMC to PPRV early infection. Further investigations are needed to clarify the underlying mechanisms on how these genes are targeted by differentially expressed miRNA and their role in promoting or inhibiting PPRV replication. Although numerous studies demonstrate that PPRV can induce apoptotic cell death in vitro, there is no evidence for in vivo host cell apoptosis. The reasons may be associated with the different expression levels of cellular receptor, infection route, strain-specific and virus infection dose between in vitro and in vivo studies.
In summary, we identified miRNA and evaluated their expression patterns in goat PBMC in response to PPRV infection using deep sequencing. This study supports previous studies indicating the importance of the miRNA landscape in the replication and pathogenesis of PPRV. One-hundred and three known differentially expressed miRNA and 213 novel miRNA candidates were identified. The target genes of these differential miRNA were estimated by GO enrichment and KEGG pathway analyses. In addition, while these data demonstrate the differentially expressed miRNA profiles in goat PBMC in response to vaccine strain of PPRV infection, more studies are needed to understand how wild-type PPRV infection affect miRNA expression patterns.
The authors declare that they have no competing interests.
XQ and TW performed the majority of experiments. ZL, BY and QX participated part of the experiments. XQ and JW conceived the study, participated in its design and coordination. XQ prepared and revised the manuscript. All authors read and approved the final manuscript.
This research was financially supported by the National Natural Science Foundation of China (Grant Nos. 31572588).
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