Abstract
The Gram-negative bacterium Riemerella anatipestifer is an important waterfowl pathogen, causing major economic losses to the duck-producing industry. However, little is known of the virulence factors that mediate pathogenesis during R. anatipestifer infection. In this study, RAYM_RS09735 and RAYM_RS09740 were predicted to form a two-component signaling system (TCS) through bioinformatics analysis. This TCS was highly conserved across the Flavobacteriaceae. A mutant YMΔRS09735/RS09740 strain was constructed to investigate the role of the RAYM_RS09735/RAYM_RS09740 TCS in R. anatipestifer virulence and gene regulation. The median lethal dose (LD50) of YMΔRS09735/RS09740 was found to be >1011 CFU, equivalent to that of avirulent bacterial strains. The bacterial abundances of the YMΔRS09735/RS09740 strain in the heart, brain, liver, blood, and spleen were significantly lower than that of the wild-type R. anatipestifer YM strain. Pathological analysis using hematoxylin and eosin staining showed that, compared to the wild-type, the mutant YMΔRS09735/RS09740 strain caused significantly less virulence in infected ducklings. RNAseq and real-time PCR analysis indicated that the RAYM_RS09735/RAYM_RS09740 TCS is a PhoP/PhoR system. This is a novel type of TCS for Gram-negative bacteria. The TCS was also found to be a global regulator of expression in R. anatipestifer, with 112 genes up-regulated and 693 genes down-regulated in the YMΔRS09735/RS09740 strain (~33% genes demonstrated differential expression). In summary, we have reported the first PhoP/PhoR TCS identified in a Gram-negative bacterium and demonstrated that it is involved in virulence and gene regulation in R. anatipestifer.
Keywords: Riemerella anatipestifer, RAYM_RS09735/RAYM_RS09740, two-component signaling system, virulence, RNAseq
Introduction
The disease riemerella anatipestifersis, caused by the Gram-negative bacterium Riemerella anatipestifer, occurs primarily in 1–8-week-old ducks but is most common in more susceptible 2–3-week-old ducklings. It is currently the most economically damaging bacterial infection affecting the global duck industry. Symptoms are characterized by fibrinous pericarditis, glissonitis, airbag inflammation, and meningitis (Segers et al., 1993). A total of 21 R. anatipestifer serotypes have been identified, with no significant cross-protection reported, making it difficult to control the disease through vaccination (Pathanasophon et al., 1995, 2002). R. anatipestifer serotypes 1, 2, and 10 are responsible for most major outbreaks in China. In recent years, many R. anatipestifer strains with differing virulence have been isolated from duck farms in China (Yuan et al., 2011; Wang et al., 2015; Zhang et al., 2015; Song et al., 2016). Additionally, several virulence factors have been identified that associate with disease severity, including VapD (Chang et al., 1998), CAMP cohemolysin (Crasta et al., 2002), outer membrane protein A (OmpA; Hu et al., 2011), Nicotinamidase PncA (Wang et al., 2016), and putative genes associated with lipopolysaccharide (LPS) synthesis (Yu et al., 2016).
Bacteria sense and adapt to their environment via two-component signaling systems (TCSs). A paired TCS typically has a sensing histidine kinase (HK) coupled to a response regulator (RR). The sensing of a signal by the HK leads to autophosphorylation on a histidine residue. Subsequent transfer of the phosphate to an aspartate residue on the cognate RR facilitates the binding of the RR to its specific DNA. Each phosphorylated RR regulates specific genes that enable individual bacteria to sense environmental factors and respond to stresses (Stock et al., 2003; Mike et al., 2014). TCSs are present in nearly all sequenced bacterial genomes, as well as in some fungal, archaeal, and plant species (Skerker et al., 2008).
TCSs are involved in the regulation of a variety of important biological functions in bacteria. In particular, PhoP/PhoQ TCSs control the transcription of key virulent genes in several bacterial pathogens, including Escherichia coli, Shigella spp. (Tobe, 2008), Yersinia pestis (O'Loughlin et al., 2010), and Salmonella typhimurium (Tran et al., 2016). TCSs also control the expression of Pneumococcal surface antigen A (PsaA), subsequently regulating virulence and resistance to oxidative stress in Streptococcus pneumonia (McCluskey et al., 2004). Related two-component system also regulate genes that are essential to virulence and complex lipid biosynthesis. For example, SenX3, and RegX3 form a TCS that is involved in Mycobacterium tuberculosis virulence (Ryndak et al., 2008). The TCS is expressed during phosphate starvation and is required for phosphate uptake and aerobic respiration (Parish et al., 2003; Haydel et al., 2012). Additionally, in TB, the TCS PrrAB is required during early intracellular infection (Haydel et al., 2012) and the TCS MprAB responds to envelope stress by regulating stress-responding and virulence-associated genes (He et al., 2006; Pang et al., 2007).
The bacterium R. anatipestifer YM was isolated in Yunmeng, Hubei province, China, and is a highly virulent strain classified as serotype 1 (Zhou et al., 2011). We have previously used in vivo-induced antigen technology (IVIAT) to identify in vivo-induced protein antigens from R. anatipestifer. This predicted the involvement of a putative TCS. To research the function of this TCS in R. anatipestifer, we constructed a mutant with the putative TCS genes, RAYM_RS09735 and RAYM_RS09740, deleted to investigate their biological characteristics. We found that RAYM_RS09735/RAYM_RS09740 form a PhoP/PhoR TCS, the first reported such TCS in Gram-negative bacteria. We confirmed that the RAYM_RS09735/RAYM_RS09740 TCS is an important global transcription regulator and regulates the expression of virulence-associated genes in R. anatipestifer. This may provide the theoretical basis for further study into the molecular pathogenesis of R. anatipestifer and facilitate the design of genetically engineered vaccines against R. anatipestifer.
Materials and methods
Analysis of RAYM_RS09735 and RAYM_RS09740 homology in R. anatipestifer
The bacterial strains and plasmids used in this study are listed in Table 1. Primers used in this study are listed in Table 2. In vivo-induced antigen technology (IVIAT) was then used to characterize potential virulence factors that are expressed in ducks during infection with R. anatipestifer. A genomic DNA library of R. anatipestifer was screened, demonstrating in vivo-induced increased expression of genes with two ORFs, RAYM_RS09735 and RAYM_RS09740 (data not shown). RAYM_RS09735 and RAYM_RS09740 were predicted to be a histidine protein kinase (HK) and a response regulator (RR), respectively. To investigate RAYM_RS09735 and RAYM_RS09740 homology among different R. anatipestifer strains, the open reading frames of RAYM_RS09735 and RAYM_RS09740 were amplified from the wild-type R. anatipestifer YM strain. The PCR product was cloned into pMD-18T vectors and sequenced. Homologous amino acid sequences were identified by searching the GenBank database using BLASTX. The resulting alignments were used for the construction of a phylogenetic tree using neighbor-joining (NJ) and were further analyzed using MEGA v6.06 software.
Table 1.
Strains | Description | Source or references |
---|---|---|
STRAINS | ||
R. anatipestifer YM | R. anatipestifer wild-type strain (serotype 1) | Lab collection (Zhou et al., 2011) |
YMΔRS09735/RS09740 | Mutant strain, derived from R. anatipestifer YM, in which the RAYM_RS09735/RAYM_RS09740 genes were inactivated by SpecR cassette insertion | This study |
E.coli DH5α | F-φ80 lac ZΔM15 Δ(lacZYA-arg F) U169 endA1 recA1 hsdR17(rk-,mk+) supE44λ- thi -1 gyrA96 relA1 phoA | Lab collection |
E.coli x7213 | Thi-1 thr-1 leuB6 glnV44 fhuA21 lacY1 recA1 RP4-2-Tc::Mu λpir ΔasdA4 Δzhf-2::Tn10 | Lab collection |
PLASMIDS | ||
pMD-18T | Clone vector,AmpR | Life Technology |
pIC333 | Source of SpecR cassette | Lab collection |
pRE112 | Suicide vector, sacB mobRP4 R6K ori CmR | Life Technology |
pRE112-LSR | Suicide vector with SpecR and homology arms for homologous recombination | This tudy |
Table 2.
Name | Sequence (5′–3′) |
---|---|
PRIMERS FOR CONSTRUCTING SUICIDE PLASMID AND RAYM_ RS09735/RAYM_RS09740 GENES MUTANT | |
RAYM_RS09735/RAYM_RS09740 L-F | CGGTACC TTTTAACTATTGTATTTATTTAC |
RAYM_RS09735/RAYM_RS09740 L-R | CTTTTAAAACTACTGTCCAGTAGATTGATAA |
SpecR F | TATCAATCTACTGGACAGTAGTTTTAAAAG |
SpecR R | AAAACAACTTCAAAACAGTGGAACGAAAAC |
RAYM_RS09735/RAYM_RS09740 R-F | GTTTTCGTTCCACTGTTTTGAAGTTGTTTT |
RAYM_RS09735/RAYM_RS09740 R-R | TGAGCTCGGAAGGAAGCGTCTTGCAATATT |
PRIMERS FOR IDENTIFYING THE RAYM_RS09735/RAYM_RS09740 GENES MUTANT | |
Check F | AAAGGTATGGGAATGGAG |
Check R | GCCGTCTGTAGCAAGGGT |
16S rRNA F | AGAGTTTGATCCTGGCTCAGGATC |
16S rRNA R | ACGGCTACCTTGTTACGACTTAGC |
PRIMERS FOR qRT-PCR | |
RS09730 F | GAGCTTTGGGGTAGGGTAGA |
RS09730 R | TTCCACCACCCAATTCCTGT |
RS09735 F | GGTATGGGAATGGAGCCTCA |
RS09735 R | GCCCCAAACCTTGACCTTTT |
RS09740 F | ACGGCGAGGAAGGTCTTAAA |
RS09740 R | CGTCTGCACCTAACTGATAACC |
RS09745 F | AAATCCGCAACTTCGAGACG |
RS09745 R | CCTCTGGCGTAGGAAAAGGA |
RS05555 F | AGCTCTCTTGGATTGGCACT |
RS05555 R | ATGCTCCCAAATACTCGGCT |
RS04585 F | AAACGACGCTCCAATGCTTT |
RS04585 R | GGAGGTGGAGAAGGAGCAAT |
RS07825 F | AGTTGTAGGCGACCGAGAAA |
RS07825 R | GGGAGGAATAGCTTTTCGGG |
RS03930 F | AATGAGTGTCTTCAGGGGCA |
RS03930 R | ACAGTCTGACGCTGCCTATT |
RS04770 F | GGTTCCGAGAATTGGTTGCT |
RS04770 R | TAGCCCTCAGTTTTGGAGCA |
RS08905 F | GTCGTCCCCTCCTAAGTGTG |
RS08905 R | GACTGTGGTGGTGGTACTCA |
RS02680 F | GCCTCTACCTTCAGTCCAGA |
RS02680 R | AGCGAGTTATTCCTGGACCT |
RS08330 F | TCCCACATTGTAGGCAGGAG |
RS08330 R | TGGAACACCTGGGCAGATAG |
RS03960 F | AATCCAAGAGACAACCGCAC |
RS03960 R | ACTCGTCCGTTAGCACTTCT |
RS04760 F | AGCGATGAGAAAAGCAGCTC |
RS04760 R | TCTCGACTAGGACAATGCCG |
pstS F | AGTGCTACCAGTGATGGATGA |
pstS R | ATCCATTCCCAACCCCGAAA |
hydrolase Nlp/P60 F | GCGTTGTAAGCGGCTTTACT |
hydrolase Nlp/P60 R | ACTCACTGCCGCTCATAAGA |
BLP F | CTGCAACATAGTTAGCTTCGG |
BLP R | ACAGCTACTCCCTCTAACGC |
DnaB F | AAACCCGCCCTAATAAACGC |
DnaB R | GCTGGTTTGTGCTCCTTCTT |
Bacterial strains and animals
R. anatipestifer RA-YM was grown in trypticase soy broth (TSB) or on agar plates (Difco Laboratories, USA) at 37°C with 5% CO2. Escherichia coli X7213 was cultured in Luria Bertani (LB) broth containing 50 μg/mL diaminopimelic acid (DAP), with shaking at 37°C overnight (Roland et al., 1999). When needed, antibiotics were used at the following concentrations: 50 μg/mL spectinomycin (Spec), 25 μg/mL chloramphenicol (Cm), and 100 μg/mL ampicillin (Amp). A portion of the bacterial colonies grown in LB medium were stored at −80°C with 15% glycerol.
Plasmid construction
The suicide vector used to create the R. anatipestifer YM RAYM_RS09735/RAYM_RS09740 mutant was based on pRE112. Briefly, sequences 800 bp upstream and 800 bp downstream of RAYM_RS09735 and RAYM_RS09740 were amplified by PCR using the primer pairs RAYM_RS09735/RAYM_RS09740L F/R and RAYM_RS09735/RAYM_RS09740R F/R. These contained KpnI and SacI restriction sites. A spectinomycin resistance (SpecR) cassette (1,185 bp) was PCR amplified from plasmid pIC333 using the primers SpecR F and SpecR R. These three fragments were then purified from an agarose gel and used as a PCR template at a 1:1:2 M ratio to join overlapping PCR products with the primers RAYM_RS09735L-F and RAYM_RS09740R-R. The final product was digested with KpnI and SacI enzymes and ligated into the pRE112 plasmid (Edwards et al., 1998) to yield suicide plasmid pRE112-LSR. This plasmid was used to delete RAYM_RS09735 and RAYM_RS09740.
Construction of the R. anatipestifer RAYM_RS09735/RAYM_RS09740 mutant
The R. anatipestifer YM RAYM_RS09735/RAYM_RS09740 mutant, termed YMΔRS09735/RS09740, was constructed via allelic exchange using the previously constructed suicide plasmid pRE112-LSR. The donor strain X7213 was transformed with pRE112-LSR and grown overnight in LB medium supplemented with 50 μg/mL DAP, 50 μg/mL Spec, and 25 μg/mL Cm. The recipient R. anatipestifer YM strain was cultured in TSB medium to an OD600 of 0.4–0.5. One milliliter of the donor strain and 3 mL of receptor strain were centrifuged at 3,000 rpm/min for 5 min, and the pellet re-suspended in 1 mL TSB. Mixed cultures were then incubated on a TSA plate supplemented with 50 μg/mL DAP at 37°C for 24 h, facilitating the conjugation of the donor and receptor strains. Cultures were next streaked onto a TSA plate containing 50 μg/mL spectinomycin (Spec) to isolate the putative R. anatipestifer YM conjugants from the mixed strains. Single colonies were re-purified on TSA plates supplemented with 50 μg/mL Spec. The R. anatipestifer RAYM_RS09735/RAYM_RS09740 mutant strain was screened and validated by PCR.
Characteristics of the YMΔRS09735/RS09740 strain
The wild-type strain R. anatipestifer or the mutant strain YMΔRS09735/RS09740 was grown in TSB at 37°C for 12 h with shaking, respectively. Equal amounts of YM culture were transferred into fresh TSB (without serum) at a ratio of 1:100 (vol/vol) and incubated at 37°C with shaking at 200 rpm. Bacterial growth was measured as described previously (Hu et al., 2011) by counting the number of bacterial CFUs at 2 h intervals for 14 h.
Determination of bacterial virulence and survival in vivo
To determine whether deletion of RAYM_RS09735 and RAYM_RS09740 influenced R. anatipestifer virulence, the median bacterial lethal dose (LD50) of the mutant strain YMΔRS09735/RS09740 was determined (Hu et al., 2010). Healthy Cherry Valley ducks were purchased from Chunjiang Duck Company (China) and hosted in an isolated animal room. All animal experiments and procedures were approved by the Research Ethics Committee, Huazhong Agricultural University, Hubei, China. A total of 75 ducks were divided randomly into 15 groups (five ducks per group). The respective bacterial strains were then injected into duck flippers at a dose of 105–1011 CFU. Ducks in groups 1–7 were injected with 105–1011 CFU of YM bacteria, and ducks in groups 8–14 were injected with 105–1011 CFU of YMΔRS09735/RS09740 strain (Zou et al., 2015). The control group was injected with an equivalent volume of PBS.
For pathological histological examination, ducks from each group were sacrificed 48 h after injection with 5 × 106 CFU of each bacterial strain diluted in 0.5 mL PBS. Heart, liver, brain, and spleen samples were collected. Tissues were then fixed in formalin, sectioned, and stained with hematoxylin and eosin.
Twelve 12-day-old ducks were randomly divided into three groups (four ducks per group) and infected with either 5 × 106 CFU of the wild-type R. anatipestifer strain or the mutant strain YMΔRS09735/RS09740. Blood, heart, liver, brain, and spleen samples were collected 48 h after injection. Tissues were homogenized in 5 mL PBS, serially diluted, and plated on TSA plates to assess the number of viable bacteria.
Extraction of total RNA from R. anatipestifer in vitro
The mutant strain YMΔRS09735/RS09740 or wild-type strain YM was grown in TSB to log phase, respectively, and then harvested in no more than 3 mL culture by centrifugation at 4000–5000 × g for 5–10 min at 4°C. Total RNA was extracted using a Bacterial RNA Kit (Omega). A NANODROP 2000c (Nanodrop) was used to measure the concentration and quality of bacterial RNA.
RNAseq library construction
A total of 1 μg RNA per sample was used for RNA sample preparations. Sequencing libraries were generated using a NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB), following the manufacturer's recommendations. Briefly, mRNA was purified from total RNA using poly-T oligo-attached magnetic beads. Fragmentation was carried out using divalent cations under elevated temperature in NEBNext First Strand Synthesis Reaction Buffer (5X). The first strand of cDNA was synthesized using a random hexamer primer and M-MuLV Reverse Transcriptase (RNase H–). Second strand cDNA synthesis was then subsequently performed using DNA Polymerase I and RNase H. Any remaining overhangs were converted into blunt ends via exonuclease/polymerase. After adenylation of the 3′ ends of DNA fragments, adaptors with a hairpin loop structure were ligated in preparation for hybridization. To select cDNA fragments by length, library fragments were purified with a AMPure XP system (Beckman Coulter). Next, 3 μL USER Enzyme (NEB) was incubated with size-selected, adaptor-ligated cDNA at 37°C for 15 min followed by 5 min at 95°C before PCR. PCR was performed using a Phusion High-Fidelity DNA polymerase, a universal PCR primer set and an Index (X) primer. Finally, PCR products were purified and the library quality assessed using an Agilent Bioanalyzer 2100 system (Agilent).
RNAseq differential expression analysis
HTSeq v0.6.1 was used to count the number of reads that mapped to each gene and then gene expression was calculated using an RPKM method (Reads Per kb per Million reads). Differential expression analysis was performed using DESeq. A q-value (or FDR) <0.001& and a log2 fold-change >1 were set as the thresholds for determining significantly differential expression.
Go enrichment analysis
Gene Ontology (GO) enrichment analysis of differentially expressed genes was performed using the Bioconductor package GOseq, with a gene length bias correction. GO functional analysis provided GO functional classification annotation for DEGs, as well as GO functional enrichment analysis. The Gene Ontology database used can be found at http://www.geneontology.org/.
KEGG pathway enrichment analysis
As different genes cooperate with each other to exercise biological functions, pathway-based analysis can help further understand the biological functions of genes. We used KOBAS to test for the statistical enrichment of differential expression genes in the KEGG pathway data set (http://www.genome.jp/kegg/).
Quantitative real-time PCR analysis
For quantitative real-time PCR (qRT-PCR) validation experiments, 10 genes were randomly selected to assess the RNAseq data (Table 2). For this analysis, 1 μg of RNA was reverse-transcribed to cDNA using the PrimeScript™ RT regent kit with gDNA Eraser (Takara), according to manufacturer's instructions. cDNA was diluted 10-fold and used for real-time PCR analysis using a Bio-Rad CFX96™ System and signal detection protocols in accordance with the manufacturer's instructions (TaKaRa). DnaB was used as an endogenous control. Primers used for the qRT-PCR are described in Table 2. Data analysis was performed using GraphPad Prism v 5.0 Software (GraphPad).
Statistical analysis and data records
Student's t-tests were used to compare gene expression data. P-values of ≤0.05 were considered significant. RNAseq original data were uploaded to the NCBI Short Read Archive (SRA) with study accession number SRP096616 (http://www.ncbi.nlm.nih.gov/sra).
Results
Identification of the RAYM_RS09735 and RAYM_RS09740 genes in R. anatipestifer
Homologous amino acid sequences were identified by searching the GenBank database using BLASTX. A phylogenetic tree was constructed containing 19 amino homologous acid sequences (Figures 1A,B). RAYM_RS09735 and RAYM_RS09740 share more than 98% sequence identity with seven other R. anatipestifer strains. In addition, RAYM_RS09735 and RAYM_RS09740 shared 70% identity with species of Flavobacteriaceae, including Cloacibacterium, Epilithonimonas, and Chryseobacterium. Our results demonstrated that RAYM_RS09735 and RAYM_RS09740 are not only highly conserved in R. anatipestifer, but also conserved across the Flavobacteriaceae in general. Functional assessment predicted RAYM_RS09735 and RAYM_RS09740 to be elements of a two-component signaling system (TCS). TCS are typically composed of a sensor with histidine kinase activity and a cytoplasmic transcriptional regulator. RAYM_RS09735 was identified as a BaeS family histidine kinase, while RAYM_RS09740 was predicted to be an OmpR family transcriptional regulator (Figures 1C,D). Both members of the TCS had the same promoter. Additionally, RAYM_RS09735 was predicted to be a phosphate regulon sensor protein (PhoR).
Characterization of a mutant YMΔRS09735/RS09740 strain
The RS09735/RS09740 gene was deleted from the chromosome of an R. anatipestifer YM strain via allelic exchange. The gene was replaced with a SpecR cassette, allowing successful transfects to be drug selected. The mutant strain was further validated by PCR amplification of RAYM_RS09735, RAYM_RS09740, and 16S rRNA fragments from transconjugants (Figure 2A). Real-time PCR analysis confirmed that RAYM_RS09735 and RAYM_RS09740 transcription was completely abolished in the mutant strain. However, inactivation of the RAYM_RS09735 and RAYM_RS09740 genes led to significantly increased transcription of the chromosomally upstream gene RAYM_RS09730 and the downstream gene RAYM_RS09745 (Figure 2B). The RAYM_RS09735 and RAYM_RS09740 deletion mutant strain was designated YMΔRS09735/RS09740. Growth curve measurements revealed that growth in TSB was similar between the wild-type YM and mutant strains (Figure 2C). Transmission electron microscopy also showed that there were no significant changes in bacterial morphology in the RA-YM RAYM_RS09735/RAYM_RS09740 mutant strain (data not shown).
Pathogenicity of the YMΔRS09735/RS09740 mutant
Bacterial virulence was evaluated by median lethal doses (LD50) in 12-day-old Cherry Valley ducks. The LD50 for the mutant strain was greater than 1011 CFU, which was more than a 103-fold attenuation in virulence compared to the wild-type YM strain (4 × 107 CFU). These LD50 values demonstrate that the strain is almost avirulent in ducklings (Table 3). To further investigate the role of RAYM_RS09735 and RAYM_RS09740 in in vivo systemic infections, the bacterial loads in the liver, spleen, heart, brain, and blood from infected ducks were quantified. This showed that, in these organs, bacterial capacity was significantly decreased compared to ducks infected with the wild-type strain (Figure 3). Pathological histological analysis was also performed 48 h post-infection comparing the wild-type YM and YMΔRS09735/RS09740 strains. Hematoxylin and eosin staining revealed that the capacity of the YMΔRS09735/RS09740 mutant to damage the heart, brain, and spleen was significantly decreased relative to the wild-type strain, although mild liver damage was still observed (Figure 4). These results show that RAYM_RS09735 and RAYM_RS09740 significantly affect the virulence of R. anatipestifer.
Table 3.
Strains | Challenge dose (CFU) | Survival/total | LD50 (CFU) |
---|---|---|---|
R.anatipestifer | 105 | 5/5 | 4 × 107 |
106 | 4/5 | ||
107 | 3/5 | ||
108 | 0/5 | ||
109 | 0/5 | ||
1010 | 0/5 | ||
1011 | 0/5 | ||
YMYMΔRS09735/RS09740 | 105 | 5/5 | >1011 |
106 | 5/5 | ||
107 | 5/5 | ||
108 | 5/5 | ||
109 | 5/5 | ||
1010 | 5/5 | ||
1011 | 5/5 |
Function and GO enrichment analysis of the differentially expressed genes
Differentially expressed genes (DEGs) between the mutant YMΔRS09735/RS09740 and wild-type strains were identified using RNAseq. In total, 805 genes were found to be differentially expressed, with 112 genes upregulated (13.9%), and 693 genes downregulated (86.1%) in the mutant YMΔRS09735/RS09740 strain compared to the wild-type strain (Figure 5A). Of the ~2,000 genes identified in the R. anatipestifer genome, more than one third were differentially expressed. Further analysis of the RNAseq data using KEGG pathways predicted that RAYM_RS09735 and RAYM_RS09740 are components of a PhoP/PhoR TCS (Figure 5B). Gene Ontology (GO) enrichment analysis showed that differentially expressed genes can be found in a wide-variety of biological processes, cellular components, and molecular functions, including 21 distinct pathways (Figure 6). RNAseq was validated using qRT-PCR analysis of randomly selected 10 genes. Overall, the changes in expression of these randomly genes tested by qRT-PCR agreed with the direction determined by RNAseq (Figure 7A). Linear regression analysis was performed examining the fold-changes of the gene expression ratios between RNAseq and qRT-PCR, showing a significant positive correlation (Figure 7B).
We found that 11 genes had more than 4-fold higher expression in the mutant strain compared to the wild-type, eight of which encode hypothetical proteins. The three other genes encoded a carbohydrate-binding protein, a glycan metabolism protein (RagB), and a phosphate subunit transfer protein (PstS), respectively. We also found that several transcription factors, components of the CRISPR system, and additional putative proteins were also upregulated, with most upregulated genes involved in bacterial metabolism. In addition, 20 genes were found to be downregulated more than 4-fold. Of these, 13 genes encoded hypothetical proteins, while the other seven encoded RAYM_RS09735, RAYM_RS09740, a lipoprotein, a peptidoglycan hydrate (Nlp/P60), a DNA-binding protein, von Willebrand factor A, ATPase AAA, and an uncharacterized conserved protein. Other downregulated genes included several hypothetical proteins, transcription factors, and metabolic genes, in addition to multiple molecular chaperones and TonB-dependent receptors.
Finally, we performed real-time PCR analysis of three predicted virulence-associated genes expression in the YMΔRS09735/RS09740 mutant strain (pstS, BLP, and Nlp/P60). We found that the mRNA expression of pstS was 8-fold higher (Figure 8A), consistent with our RNAseq data. Bacterial lipoprotein (BLP) and hydrolase Nlp/P60 were found to be significantly downregulated (Figure 8B).
Discussion
Bacterial two-component regulatory systems (TCSs), consisting of a sensing histidine kinase and a response regulator, mediate gene expression in response to environmental stimuli (Stock et al., 2003). To achieve this, histidine kinases sense environmental signals and autophosphorylate. This additional phosphate is then transferred to an aspartic acid residue on the corresponding response regulator (Hoch, 2000; Alm et al., 2006). The phosphorylated response regulator elicits a diverse range of downstream responses, including an enhancement of its DNA binding ability. This allows the TCS to modulate target gene expression (West and Stock, 2001; Lin et al., 2015). Using an in vivo antigen technology (IVIAT) to examine ducks infected with R. anatipestifer, we have identified a putative TCS involving the genes RAYM_RS09740 and RAYM_RS09735. Bioinformatics analysis of these two genes, and their proteins, revealed that RAYM_RS09740 and RAYM_RS09735 encode a histidine kinase and response regulator, respectively. We also found that, like most TCSs, RAYM_RS09735 and RAYM_RS09740 have the same promoter and co-transcribe as an operon (Aggarwal et al., 2016). RAYM_RS09735 and RAYM_RS09740 possess all of the characteristic TCS domains essential to their biochemical activities and responses. RAYM_RS09735 and RAYM_RS09740 were predicted to belong to the OmpR and BaeS families, respectively, and RAYM_RS09735 was further predicted to be a phosphate regulon sensor protein (PhoR).
Our study aimed to investigate the RAYM_RS09735/RAYM_RS09740 TCS and explore its potential functions in R. anatipestifer. To better evaluate the role of RAYM_RS09735 and RAYM_RS09740 in R. anatipestifer, we constructed the mutant strain YMΔRS09735/RS09740 in which the RAYM_RS09735 and RAYM_RS09740 genes were mutated by deleting a 1400-bp fragment from the wild-type RA-YM strain. RT-PCR and qRT-PCR were used to validate the mutant strain (Figures 2A,B). We found that upstream and downstream genes were significantly down-regulated in the YMΔRS09735/RS09740 mutant, although the strain showed the same growth characteristics as the wild-type in TSB (Figure 2C).
LD50 analysis of the two strains demonstrated the RAYM_RS09735/RAYM_RS09740 mutant had significantly reduced virulence. Indeed, the strain was almost avirulent to ducklings (Table 3). A normal R. anatipestifer infection is characterized by septicemia and the ability to colonize and develop in the tissues of their host. We found that the bacterial loads in the liver, spleen, heart, brain, and blood of ducks infected with the mutant YMΔRS09735/RS09740 strain were significantly lower than that of wild-type RA-YM infected ducklings (Figure 3). In addition, pathological histological analysis using hematoxylin and eosin staining showed that the mutant strain also induced significantly less damage to the heart, brain, and spleen, compared to the wild-type strain. There was still slight damage to the liver (Figure 4). Our results indicate that the RAYM_RS09735 and RAYM_RS09740 genes are important mediators of R. anatipestifer virulence during infection in ducklings. Therefore, RAYM_RS09740 was determined to be a response regulator, with a combined promoter affecting downstream genes. The protein also altered the expression of target genes. Our study therefore indicated that virulence factors in R. anatipestifer could be regulated by RAYM_RS09740.
RAYM_RS09735 and RAYM_RS09740 share up to 70% sequence identity with Flavobacteriaceae species, such as Cloacibacterium, Epilithonimonas, and Chryseobacterium. These species have been previously reported to exhibit drug resistance. Molecular docking analysis identified inhibitors of various RRs in OmpR family to affect this observed drug resistance. Therefore targeting TCSs has become an attractive option for the development of new drugs, particularly to combat M. tuberculosis (Banerjee et al., 2016). These studies also demonstrate that TCSs can be used as the theoretical basis for the study of drug resistance mechanisms in Flavobacteriaceae.
To investigate how RAYM_RS09735 and RAYM_RS09740 regulate gene expression, RNAseq analysis was performed to identify differentially expressed genes in the mutant YMΔRS09735/RS09740 strain. This revealed 112 genes that were upregulated (13.9%) and 693 genes that were down-regulated (86.1%) relative to the wild-type strain (approximately one-third of genes had differential expression). To validate the RNAseq results, we randomly assessed the differential expression of 10 genes using qRT-PCR, confirming the accuracy of the RNAseq data (Figure 7). Gene ontology (GO) enrichment analysis showed that differentially expressed genes were involved in a wide-variety of biological processes, cellular components, and molecular functions, including 21 distinct pathways (Figure 6). Therefore, we hypothesize that the RAYM_RS09735/RAYM_RS09740 TCS is a global expression regulator that controls the expression of virulence genes, thus affecting the pathogenicity of R. anatipestifer.
KEGG pathway analysis showed that RAYM_RS09740 is a PhoP protein, indicating that RAYM_RS09735 and RAYM_RS09740 form a PhoP/PhoR TCS. PhoP/PhoR TCSs have been implicated in several biological processes in Gram-positive bacteria, such as B. subtilis (Hulett et al., 1994), Streptomyces lividans (Sola-Landa et al., 2003), and M. tuberculosis (Perez et al., 2001). Specifically, PhoP/PhoR has been shown to control respiration(Birkey et al., 1998), cell wall metabolism (Minnig et al., 2005), culture metabolism (Thomas et al., 2012), and biofilm formation (Bluskadosh et al., 2013). Most importantly, in many pathogens PhoP/PhoR TCSs have also been shown to regulate pathogenesis (Perez et al., 2001; Ryndak et al., 2008). PhoP and PhoQ TCS components have been reported in many Gram-negative bacteria, including E. coli (Eguchi et al., 2007), Edwardsvilla (Lv et al., 2012), and Salmonella (Tran et al., 2016). PhoP/PhoR is also an important TCS in M. tuberculosis and is a key player in virulence (Ryndak et al., 2008). However, PhoP/PhoR TCSs have not been previously observed in Gram-negative bacteria. Our data shows that a putative PhoP/PhoR TCS is involved in R. anatipestifer virulence, although further phosphotransfer profiling will be required to validate RAYM_RS09735/RAYM_RS09740 as a PhoP/PhoR TCS.
Our data also suggest that RAYM_RS09740 can act as a transcription factor and plays a role in regulating genes expression, although there are likely other TCSs present in R. anatipestifer. This is based on our observation that, after the deletion of RAYM_RS09735 and RAYM_RS09740, other TCSs regulated gene expression. We hypothesize that cross-talk and -regulation may occur between a multitude of two-component systems in R. anatipestifer, similarly to other organisms. For example, the transcription factor NemR is a redox-regulated transcriptional repressor in E. coli (Gray et al., 2013) and a carbohydrate-responsive regulatory protein (BadR) is a transcriptional repressor of rpoS in Borrelia burgdorferi (Miller et al., 2013).
The PhoP/PhoR TCS we identified was initially predicted to be part of the phosphate (Pi) stress-response in R. anatipestifer. PhoR acts to sense environmental phosphate (Pi) levels in bacteria through the ABC-type phosphate-specific transport (Pst) system and the protein PhoU. PstS is a periplasmic protein that binds Pi with high affinity and PhoP induces the promoter activity of pstS. We found with RNAseq and qRT-PCR that the mRNA expression of pstS was 8-fold higher (Figure 8A) in the mutant strain and different from other Gram-negative bacteria. Therefore, RAYM_RS09735 and RAYM_RS09740 may act more like the PhoP/PhoR system of M. tuberculosis. Additionally, M. tuberculosis PhoP/PhoR does not respond to phosphate starvation and is similar to the PhoP/PhoQ TCS in Salmonella. In Salmonella PhoP/PhoQ TCS, PhoQ senses low Mg2+ levels, and PhoP activates expression of genes encoding high-affinity Mg2+ transport systems (Walters, 2006). We aim to investigate the environmental factors sensed by R. anatipestifer PhoP/PhoR in future work.
Further, DEG analysis showed that the expression of several other signal transduction system genes was altered in the YMΔRS09735/RS09740 strain. It is likely that PhoP can influence the expression of transcription factors in other signal transduction system and there is cross-talk or cross regulation between PhoP/PhoR and other TCSs in R. anatipestifer. As more than one third of genes demonstrated differential expression, it is unlikely that the PhoP/PhoR TCS directly regulates all of these DEGs. However, the TCS we identified may affect wider gene expression by influencing the expression of other transcription factors in a variety of signal transduction systems.
Additionally, the CRISPR-Cas bacterial immune system has been shown to be present in R. anatipestifer (Chamnongpol et al., 2003; Zhu et al., 2016) and we found that the expression of cas9, cas1, and cas2 were all different in the YMΔRS09735/RS09740 mutant, compared to the wild-type. Recent studies have reported that quorum sensing has a role in controlling the Pseudomonas aeruginosa CRISPR-Cas adaptive immune system (Høyland-Kroghsbo et al., 2016) and the TCS BfiSR affects the production of proteins involved in virulence, post-translational modification, and quorum sensing (Petrova and Sauer, 2010). We therefore reasoned that TCS might also affect the CRISPR-Cas immune system of R. anatipestifer.
We found 13 genes encoding hypothetical proteins that were downregulated more than 4-fold. At present, M949_RS01915, M949_1360, AS87_01735, AS87_03730, M949_1556, and AS87_04050 are all hypothetical proteins but have been reported to associate with virulence in R. anatipestifer. Bacterial lipoprotein (BLP) and the hydrolase Nlp/P60 were both found to be significant down-regulated in the mutant YMΔRS09735/RS09740 strain (Figure 8B). Nlp/P60 is involved in cell growth and division, autolysis, and invasion (Xu et al., 2015). Bacterial lipoproteins on the cell surface include an important class of virulence factor that is expressed by many pathogens. BLP can promote TLR2 expression, TLR2-induced NF-κB activation, and IL-6 production, leading to immune inflammation (Buddelmeijer, 2015). The clinical symptoms of R. anatipestifersis are characterized by fibrinous pericarditis, glissonitis, airbag inflammation, and meningitis. Our pathological results demonstrated that the damage induced by the mutant YMΔRS09735/RS09740 strain to the heart, brain, and spleen was significantly less severe than the wild-type strain (Figure 4). We therefore hypothesize that R. anatipestifer reduced expression of BLP and the hydrolase Nlp/P60, subsequently affecting inflammation in ducklings.
Other downregulated genes we identified included transcription factors, metabolic genes, multiple molecular chaperones, and TonB-dependent receptors. The primary role of DNA binding proteins and transcription factors is to regulate the expression of the genes and RAYM_RS09740 may regulate transcription by modifying the expression of these transcription factors. Molecular chaperone proteins assist in the folding of nascent polypeptide chains and prevent the aggregation of denatured proteins (Hartl and Hayerhartl, 2002). We found that transcript for the molecular chaperones dnaJ, dnaK, grpE, clpP, tir, and skp were all downregulated in the mutant YMΔRS09735/RS09740 strain, suggesting that the RAYM_RS09735/RAYM_RS09740 TCS may regulate the expression of the chaperone genes to influence the severity of R. anatipestifersis. The DnaK molecular chaperone system includes DnaK, DnaJ, and GrpE (Mayer et al., 2000; Ben-Zvi and Goloubinoff, 2001; Genevaux et al., 2007) and is related to stress tolerance and virulence in Salmonella. DnaK can also regulate the expression of virulence islands and a DnaK mutation strain was found to be largely avirulent (Takaya et al., 2004). ClpP was found to be a virulence-related factor in Actinobacillus pleuropneumoniae, with a clpP gene deletion strain demonstrating decreased biofilm production (Xie et al., 2013). We also found that TonB-dependent receptors were downregulated. These receptors have been reported to associate with hemin iron acquisition and R. anatipestifer virulence.
In this study, RAYM_RS09735 and RAYM_RS09740 were predicted to be components of a PhoP/PhoR TCS in R. anatipestifer using bioinformatics analysis. Furthermore, deletion of the RAYM_RS09735 and RAYM_RS09740 genes significantly decreased R. anatipestifer virulence. RNAseq analysis showed that RAYM_RS09740 is a global expression regulator in R. anatipestifer. We also demonstrated that the RAYM_RS09735/RAYM_RS09740 TCS contributes to virulence, signal translation, and the CRISPR-Cas adaptive immune system of R. anatipestifer. BLP and the hydrolase Nlp/P60 were predicted to be two virulence factors involved. Although common in Gram-positive bacteria, the predicted PhoP/PhoR TCS we have putatively characterized is the first such TCS identified in Gram-negative bacteria. Our study is also the first to report this TCS in R. anatipestifer, providing new insight into the role of TCSs in regulating R. anatipestifer virulence.
Ethics statement
All the animal experiments were carried out in accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals from Research Ethics Committee, Huazhong Agricultural University, Hubei, China. All procedures performed in studies involving animals were in accordance with the ethical standards of the institution or practice at which the studies were conducted.
Author contributions
Funding acquisition: ZL. Investigation: YW. Methodology: YW, TL, and XY. Project administration: SL, ML, SH, and DB. Resources: ZZ. Supervision: ZL. Validation: ZL. Visualization: YW. Writing—original draft: YW. Writing—review's editing: ZL.
Funding
This work was supported by grants from the Wuhan Science and Technology Bureau (No. 2015020101010070 to ZL) and Natural Science Foundation of Hubei Province (No. 2015CFB268 to ZL).
Conflict of interest statement
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.
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