Aeromonas hydrophila infection induces Toll-like receptor 2 (tlr2) and associated downstream signaling in Indian catfish, Clarias magur (Hamilton, 1822)

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Aquatic Biology

Introduction

The innate immune system serves as the first line of defence against any invading pathogen. It plays the vital role in defence system in lower vertebrate like teleosts as it has a limited diversity and potency in adaptive immune system compared to the higher vertebrates (Hikima, Jung & Aoki, 2011; Zhu et al., 2013). The initiation and regulation of the innate immunity in vertebrates depends largely on different extracellular and intracellular germ line-encoded pattern recognition receptors (PRRs) (Kawai & Akira, 2010; Takeuchi & Akira, 2010). The PRRs, especially signaling PRRs, initiate the immune-signaling cascade following recognition of conserved pathogen-associated molecular pattern (PAMP) and damage-associated molecular pattern (DAMP) released during injury or infection (Mogensen, 2009). Among the major classes of signaling PRRs, toll-like receptors (tlrs) are pivotal in sensing extracellular and intracellular microbial PAMPs. Structurally, tlrs possesses an extracellular domain containing leucine-rich repeats (LRRs) that recognise different PAMP and a toll-interleukin 1 (il-1) receptor (TIR) domain for downstream signaling that guide activation of nf-kb, which leads to pro-inflammatory cytokines and chemokines production, complement cascade activation, different types of interferons production, dendritic cell maturation, secretory antimicrobial peptides production and stimulation of the adaptive immune system (Mogensen & Paludan, 2005; Akira, Uematsu & Takeuchi, 2006). These inflammatory signals released from tlrs are protective measure to ensure elimination of detrimental threat caused by infectious agents as well as to accelerate healing process.

tlr2 as a member of tlr family is an important component of innate immune system. Among tlrs, tlr2 is best known as the receptor for sensing several PAMPs such as peptidoglycan, lipoteichoic acid, lipoprotein, lipopeptide found in Gram-positive bacteria, lipoarabinomannan, atypical lipopolysaccharides (LPSs), phenol-soluble modulin, porins, glycolipids, poly I:C, LPS, yeast zymosan, glycosylphosphatidyl inositol from protozoan parasites, and also respond to Gram-negative bacteria Porphyromonas gingivalis, Leptospira interrogans, Edwardseilla ictaluri, Aeromonas hydrophila, Vibrio parahaemolyticus (Ozinsky et al., 2000; Takeuchi et al., 2001; Liu et al., 2001; Baoprasertkul et al., 2007; Fan, Jia & Yao, 2015; Zhang et al., 2017). To recognise these large panel of PAMPs, TLR2 forms homodimer with itself or heterodimer with TLR1 or TLR6 (Buwittbeckmann et al., 2006). In teleosts, TLR2 cooperate with TLR1 to recognise LPS, poly I:C, lipopeptide (Zhang et al., 2014), as LPS agonist TLR4 is lost from the genome of most fishes and TLR6 is also absent. tlr2 is expressed on various immune cells including neutrophils, monocytes, dendric cells (O’Mahony et al., 2008). TLR2 pathway affects the chemotaxis, phagocytosis, and cytokine release of neutrophils, a critical effector cell against pathogen invasion (Chena et al., 2019). Upon binding to its cognate ligands, TLR2 then recruit the MYD88 and TIRAP (mal) that activate the IRAK(1 and 4)/TRAF6/IKK(α or β)/MAPKS cascade, which subsequently leads to the ubiquitination of IκBα and the activation of transcription factor NF-kb or AP-1 to induce the expression of host defense genes and subsequent production of pro-, anti-inflammatory cytokines, chemokines, immunomodulatory molecules (Zhang et al., 2014). In recent years, structure and expression pattern of tlr2 has been characterized in few important fish species including zebra fish (Jault, Pichon & Chluba, 2004), Japanese flounder (Hirono et al., 2004), channel catfish (Baoprasertkul et al., 2007), grouper (Wei et al., 2011), rohu (Samanta et al., 2012), Antratic teleosts (Varriale et al., 2012), shark (Anandhakumar et al., 2012), miiuy croaker (Xu et al., 2013), yellow croaker (Fan, Jia & Yao, 2015), rainbow trout (Brietzke et al., 2016), tongue sole (Li & Sun, 2016), silvery pomfret (Gao et al., 2016), turbot (Zhang et al., 2016; Liu et al., 2016), grass carp (He et al., 2016; Liao et al., 2017), common carp (Fink et al., 2016), golden pompano (Wu et al., 2018) and Dabry’s sturgeon (Tang et al., 2020). These studies have provided background information on genomic structure of tlr2 and also reported expression profile of tlr2 upon stimulation with ligand or bacterial infection. Comprehensively, tlr2 play a vital role in innate immune potentiation against wide array of ligand and pathogen in fish species.

Magur is an economically important fish species in South and South-East Asian countries. The freshwater air-breathing Indian catfish, C. magur (genetically distinct from C. batrachus) (Devassy et al., 2015) is a promising candidate species for freshwater aquaculture in India next to carp (Sahoo et al., 2016). Magur is prone to bacterial and fungal infection in all phase of farming due to scale-less body and many Gram-negative bacterial pathogens have been reported from magur includes, A. hydrophila, A. veronii, Flavobacterium spp, Edwardsiella tarda, E. ictaluri, Pseudomonas spp (Monir et al., 2017; Sharma et al., 2017; Sharma et al., 2018). There are no reports on Gram-positive bacterium causing disease in Indian magur. Among the diseases caused by Gram-negative bacterial pathogens, Motile Aeromonas septicaemia (MAS), caused by A. hydrophila, is one of the major causes of concern for finfish culture including magur catfish culture in the subtropical climatic condition like India. Different life stages of magur are affected by A. hydrophila infection and the mortality may go up to 70%–80% during rearing stages whereas 50% mortality has been recorded in grow-out ponds (Sinha et al., 2014; Sharma et al., 2018).

In magur cat fish, information on PRRs including tlrs is miserably inadequate and their role in eliciting innate immune response to bacterial pathogens remains unexplored. tlr2 is one of the important PRRs and plays a significant role in recognition and immunopotentiation against bacterial pathogens. Therefore, the present study was aimed to generate full-length nucleotide sequence of magur tlr2 (mtlr2) cDNA and study its expression along with its downstream signaling molecules such as myd88, nf-kb and il-1β in different tissues following A. hydrophila infection. In the context of the planned experiment, it is worth noting that the cell wall of S. aureus contains abundant quantity of PGN, which is a known ligand of tlr2. Hence, Staphylococcus aureus was used as positive control to validate the induction of tlr2. The findings of this study would help in understanding the potential role of tlr2 in mediating innate immunity against A. hydrophila infection, so that control strategies can be developed.

Materials and Methods

Ethical statement

This research work was carried out in compliance with the animal welfare laws in India. Guidelines of CPCSEA [(Committee for the Purpose of Control and Supervision of Experiments on Animals), Ministry of Fisheries, Animal Husbandry and Dairying, Department of Animal Husbandry and Dairying, Government of India] on care, treatment and experimental protocol of animals in scientific experimentation on fishes were followed. The animal care and experimental challenge protocol was approved by the Institutional Animal Ethics Committee (NBFGR/IAEC/2019/007) of ICAR-National Bureau of Fish Genetic Resources, Lucknow, India.

Experimental fish and maintenance

Apparently healthy farm bred juvenile of C. magur (n = 120; size-22.31 ± 1.34 cm; weight 50 ± 4.54 g) were handpicked after drying of magur rearing ponds in ICAR-NBFGR, Lucknow, Uttar Pradesh, India. Fishes were transported and stocked in lab condition in 2,000 L capacity fiber reinforced plastic (FRP) tank with sandy-clay bed provided with hideouts to avoid cannibalism. In each tank, 40 numbers of fish were kept. Fish were fed with commercially available magur feed (Growel Feed Pvt. Ltd, Lucknow, Uttar Pradesh, India) @ 2% of their body weight twice a day. Fishes were maintained for 1 month before carrying out the experiment. Half of the water was exchanged weekly.

Cloning of magur tlr2 ( mtlr2)

Initially, to amplify partial cDNA sequence of tlr2 gene, PCR primers (Table 1) were designed from conserved region of the nucleotide sequences of channel catfish, Ictalurus punctatus (GenBank accession HQ677714.1) and yellow catfish, Tachysurus fulvidraco (KU950711.1) tlr2 gene. The initial partial fragment of mtlr2 was amplified from the spleen cDNA of C. magur. The amplified PCR fragment was cloned into pTZ57R/T vector (Thermo Scientific). The recombinant plasmids containing the PCR amplified fragment was sequenced in both the direction using M13 forward and reverse sequencing primers. Likewise, primers were designed from the overlapping sequences of the newly generated sequences and PCR products were sequenced for obtaining the intermittent sequences. To amplify the full-length mtlr2 cDNA sequence, 5′ and 3′-cDNA ends were amplified using SMARTer RACE cDNA amplification kit (Clontech, San Jose, CA, USA) and the specific primers designed from the newly obtained sequences. The amplified PCR products of the cDNA ends were cloned and sequenced as mentioned earlier.

Table 1:
Primers, their sequences and their application in this study.
Primers Sequence (5′-3′) GenBank accession no Usages
(A)Primers used for PCR amplification and cloning of magur TLR2
tlr2-F1 (2F) CTGAAACATCTGAACATCTTGG First round homology PCR
tlr2-R1 (3R) ACGCTAACTGTATCATGCTGC
tlr2-F2 (3F) CCAGGGCTTCTTCAAATTTAGC First round homology PCR
tlr2-R2 (5R) TGGACTCGATGATGTTGTCG
tlr2-F3 CTTCCAGACGATTCAACCCAT Nested PCR
tlr2-R3 GCTCATGTCTAGCGATGTCAG
T2-5′MR ACGGCTCTGATGGGTTGAATCGTCTGG
AACGTTCTCAGCGCGGGGTTTTCGAC
5′ RACE
T2-5′MNR 5′ Nested RACE
T2-3′MR GGGTCACCTGCCACAAATTCCACATC 3′ RACE
T2-3′MNR GCTTTTCGTGTCGTACAGCCAGCAC 3′ Nested RACE
UPM Long/CTAATACGACTCACTATAGGGCA
AGCAGTGGTATCAACGCAGAGT
Short/CTAATACGACTCACTATAGGGC
NUP AAGCAGTGGTATCAACGCAGAGT
(B)Primers used for real-time gene expression analysis
tlr2rt-F CCAGGGCTTCTTAAATTTAGC MT625141 RealtimePCR
tlr2rt-R AGGAGGTTTTGGCTAAGTCC
ef-1αF GCAGCTTATCGTTGGAGTCA AB916539.1
ef-1αR GAAATTGGGACGAAAGCAACG
myd88-F CTGAAGCTGTGCGTGTTTGA JQ990986.1
myd88-R CTGGAAGTCACAAGCATCGC
nf-kb-F AGAAGAAGGATGTGGCCGAA MG571500.1
nf-kb-R CATGGTGATGGTTGCTTGGA
il-1β-F GACCAGGAGCTCTTCAATATCT JQ309137.1
il-1β-R AGCCCTTTTAGACTTGTCACA
DOI: 10.7717/peerj.12411/table-1

Bioinformatics analyses of mtlr2 sequence

The sequences of different amplicons amplified in PCR were read by Chromas version 2.6.5 and joined together based on consensus sequences to obtain the complete cDNA sequence of mtlr2. NCBI-BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi) search was carried out for obtaining the sequence homology of mtlr2 with that of other reported tlr2. The open reading frame (ORF) and the corresponding protein sequence were identified with the help of ORF finder tool of NCBI (https://www.ncbi.nlm.nih.gov/orffinder/). Multiple sequence alignment of deduced amino acid sequence of mtlr2 with vertebrates’ counterparts such as human, zebra fish, common carp, rohu, channel catfish and large yellow croaker was carried out using Clustal Omega (https://www.ebi.ac.uk/Tools/msa/clustalo/) to identify the conserved features and domains. Signal peptide, transmembrane domain and TIR domain were predicted using the SMART software (http://smart.embl-heidelberg.de/) whilst the remaining LRR motifs were identified manually. LRR domain was also searched in the deduced amino acid sequence for the presence of LxxLxLxxNxL as decribed by Matsushima et al. (2007). The theoretical isoelectic point (Pi) and molecular weight (Mw) were computed with protParamExpasy programme (http://web.expasy.org/protparam/). The amino acids were deduced based on cDNA sequences using the translate program found on the ExPASy website. Microsatellites in the mtlr2 sequence were identified using microsatellite repeats finder (http://insilico.ehu.es/mini_tools/microsatellites/). Nucleotide and protein blast was carried out to determine identity percentage of mtlr2 with other related fish species. To construct phylogenetic tree, multiple-sequence alignment of tlr2 amino acid sequences of fishes, human, animals was carried out with the help of Clustal Omega. Phylogenetic tree of tlr2 was constructed by neighbour joining method of MEGA 7.0 programme bootstrapped 1,000 times using default parameters.

Bacterial strains

Our previously isolated Aeromonas hydrophila 9C strain (Muduli et al., 2020) was used as test strain, while Staphylococcus aureus (ATCC 25923) was used as positive control for this experiment. The bacteria were cultured in tryptic-soy broth (TSB) at 37 °C, overnight and total plate count was estimated individually for both the strains before in-vivo challenge.

In vivo bacterial challenge and sample collection

One hundred twenty numbers (n = 120) of apparently healthy magur (~50g) were randomly divided into three groups i.e., negative control (Phosphate buffer saline or PBS injected), treatment (A. hydrophila injected) and positive control (S. aureus injected). Each group consisted of 40 fish in 1,000 L FRP tank. Completely randomized design (CRD) was followed to set up the experiment. Before initiation of the experiment, three fish were sampled randomly for bacterial and parasitological examination to ensure that fish were free of bacterial and parasitic infection. During the experimental period, the temperature, dissolved oxygen and pH were 35 ± 2 °C, 6.8 ± 0.78 mg L−1, 8.2 ± 0.45, respectively as measured by a multiparameter water quality meter (Hanna Instruments, Nușfalău, Romania), whereas, nitrite and ammonia were estimated to be 0.013 ± 0.007 mg L−1 and 0.106 ± 0.02 mg L−1, respectively following APHA (1998) protocol.

For bacterial infection, fishes in treatment group were intra-peritoneally (i.p.) injected with Lethal dose (LD50) of A. hydrophila at 1 × 105 cfu/fish in 100µl of sterile phosphate buffer saline (PBS). Fishes in positive control were intra-peritoneally injected with S. aureus at 1 × 105 cfu/fish in 100 µl PBS. The negative control group were injected with100 µl of sterile PBS and kept separately. Thereafter, at 3, 8, 24, 72, 144 h post-infection (hpi), three fish from bacteria-injected and control group were randomly picked, euthanized in 300mg/L concentration of MS-222 and sacrificed. Tissues such as gill, liver, spleen, intestine and kidney tissue were dissected out in to RNAlater and stored at −80 °C until RNA extraction. At the end of the experiment, the survived fishes in A. hydrophila and S. aureus group were kept separately for further studies.

Total RNA extraction and cDNA synthesis

Total RNA was extracted from the tissues using TRI Reagent (Sigma-Aldrich) as per the manufacturer’s instructions. Tissue sample of 30–50 mg was homogenized in 1 ml of TRI reagent using lysing matrix D beads (1.4 mm) in FastPrep homogenization system (MP Biomedicals). RNA pellet was dissolved in diethyl pyrocarbonate (DEPC) treated nuclease-free water and stored at –80 °C until further use. RNA concentration and purity were analysed in Denovix UV-V is spectrophotometer (Denovix). To remove the residual genomic DNA, 1 µg total RNA was treated with 1U of DNase I, RNase free (Thermo Scientific) following manufacturer’s protocol. DNase-treated total RNA (1 µg) was reverse-transcribed using RevertAid First Strand cDNA Synthesis kit with oligo-dT primer (Thermo Scientific) as per the manufacturer’s instructions.

Quantitative real-time PCR (qRT-PCR) primers

The real-time PCR primers were designed for mtlr2, myd88, nf-kb, IL-1β and ef-1α. The details of primers used in real-time PCR were listed in Table 1. Before performing qPCR, amplification efficiency was determined. A series of four-fold dilution of cDNA ranging from 2,000 ng to 7.8 ng was prepared using cDNA synthesized from pooled spleen tissue of three healthy C. magur. Standard curve, correlation coefficient (R2) and PCR amplification efficiencies (E) were automatically generated in the ABI StepOne Plus qPCR system based on slope of standard curve produced using four-fold diluted cDNA as template. The formula used to calculate efficiency was as follows E (%) = (10−1/slope − 1) × 100 (Kubista et al., 2006). The primers with PCR efficiencies between 90%−105% were used for relative quantification.

Basal expression analysis of mtlr2, myd88, nf-kb, il-1β

Basal expression of mtlr2 and its downstream signaling molecules myd88, nf-kb, il-1β were determined. Twelve different tissues; gill, liver, spleen, intestine, anterior kidney, posterior kidney, stomach, skin, muscle, heart, brain and accessory respiratory organ (ARO) were collected separately from three naive Indian magur (~50g). Total RNA was isolated from each sample and cDNA was prepared following the manufactures protocol. Quantitative real-time PCR as mentioned later was carried out. Tissue with lowest expression was used as calibrator with respect to which fold change expression of above genes were calculated using the 2−ΔΔCt method (Livak & Schmittgen, 2001). In our earlier experiment on validation of reference genes in C. magur, ef-1α was found to be the most stable reference gene for normalization of relative gene expression by real-time reverse transcription PCR in the context of pathological conditions (A. hydrophila injected and PBS injected) (data unpublished). Therefore, ef-1α was used as an internal control.

qRT-PCR

The qRT-PCR was performed in Applied Biosystem StepOne Plus Real-time PCR system using TB Green™ Premix Ex Taq™ II (TAKARA) following manufacture’s instruction. Amplification was carried out in 12.5 µl reaction volume, comprising 6.25 µl SYBR green master mix, 0.25 µl of ROX, 0.5 µl of forward and reverse primer (5 µM each), 1 µl of cDNA (100 ng/ul) and 4 µl of nuclease-free water. Each sample was run in triplicate, which served as technical replicate under following cycling condition: initial denaturation at 95 °C for 30 s followed by 40 cycles of 94 °C for 10 s, 60 °C for 10 s, 72 °C for 10 s. This was subsequently followed by melt-curve analysis for 15 s at 95 °C and 1 min at 60 °C. A no template control in triplicate was run for each plate. The data in form of threshold cycle (Ct) for each sample was normalized with corresponding ef-1α. The fold-change in expression in the treatment group was compared with that of PBS-injected control group using the 2−ΔΔCt method (Livak & Schmittgen, 2001). The data obtained from qRT-PCR analysis from nine technical replicate out of three biological replicate were subjected to statistical analysis.

Statistical analysis

All data were expressed as mean ± standard error of mean (S.E.M). Statistical analysis was performed using SPSS 16.0 software (SPSS Inc., Chicago, IL, USA). The significant difference in fold change expression at different time point within individual tissue was determined with time point as independent variable and fold change in expression as dependent variable at 95% significance level using statistical model ANOVA with Tukey post-hoc test (p < 0.05). The p values significant at <0.05, <0.01, <0.001 levels, respectively, compared to controls indicated by different superscripts.

Results

Characterization of full-length cDNA of mtlr2

Full-length cDNA encoding mtlr2 was amplified from magur spleen cDNA. Initially, two set of primer (2F-3R, 3F-5R primer) yielded 626 bp (Fragment 1) and 1,129 bp (Fragment 2) amplification. Further, a new set of internal/nested primer (F3-R3) generated 694 bp (Fr3) overlapping Fragment 1 and 2. Joining these fragments together a long stretch of 1,830 bp product was obtained. Cloning, sequencing, and NCBI-BLAST search of 1,830 bp cDNA had sequence similarity with other fish tlr2 which confirmed it to be tlr2. The 3′-and 5′-RACE were performed to obtain 3′-and 5′-terminal regions of cDNA. The full-length mtlr2 cDNA was 3,066 bp, including 5′ and 3′ un-translated region (UTR) of 113 and 582 bp, respectively. The predicted single ORF of mtlr2 was 2,373 bp, located between 114–2,487 bp nucleotide and encodes 790 amino acids with a theoretical pI value of 6.11 and molecular weight 90.095 kDa. Structurally, it comprised of a signal peptide (1–42 aa), one leucine-rich repeat region (LRR) at N-terminal (LRR1-NT; 50–73 aa) and C-terminal LRR (LRR-CT; 588–608 aa), twenty LRRs in between N-and C-terminal, one trans-membrane (Tm) domain (609–631 aa) followed by one TIR domain (670–783 aa) (Figs. 13). The highly conserved motifs were identified in TIR domains, and wide range of diversity was observed within the LRR regions (Fig. 3). Two microsatellites were detected in the UTR region of cDNA sequence of mtlr2 i.e., pentamer penta repeat (GTTTT)5 at 69 bp of 3′UTR region and dimer octarepeat (AC)8 repeat at 2,862 bp of 5′UTR region. One hexamer tri-repeat (CTGACT)3 also present in coding region at 215 bp location. Two mRNA instability motifs (ATTTA) were found in the 3′-UTR, which suggest that mtlr2 may be transiently expressed (Fig. 1). The mtlr2 nucleotide sequence was submitted to GenBank database with GenBank ID: MT625141.

Nucleotide and deduced amino acid sequence of mtlr2 cDNA.

Figure 1: Nucleotide and deduced amino acid sequence of mtlr2 cDNA.

Start codon and stop codon are marked in magenta colour. In the deduced amino acid sequence, signal peptide (1–42 aa) is highlighted by magenta colour. LRR-NT and LRR-CT are highlighted in grey, LRRs are highlighted in yellow, transmembrane domain highlighted in turquoise and the cytoplasmic TIR domain is highlighted in olive green. Extracellular LRR-NT (50–73 aa), LRR1 (98–115 aa), LRR2 (122–139 aa), LRR3 (143–164 aa), LRR4 (173–187 aa), LRR5 (173–459 aa), LRR6 (197–215 aa), LRR7 (228–239 aa), LRR8 (250–268 aa), LRR9 (277–296 aa), LRR10 (299–316 aa), LRR11(331–347 aa), LRR12 (360–373 aa), LRR13 (387–401 aa), LRR14 (415–434 aa), LRR15 (439–456 aa), LRR16 (462–478 aa), LRR17 (483–498 aa), LRR18 (503–519 aa), LRR19 (525–535 aa), LRR20 (543–559 aa), LRR-CT (588–608 aa). Transmembrane domain (609–631aa), intracellular cytoplasmic TIR domain (670–783 aa). Two mRNA instability motifs (ATTTA) marked in red colour underlining.
Schematic representation of C. magur tlr2 (mtlr2) protein domains.

Figure 2: Schematic representation of C. magur tlr2 (mtlr2) protein domains.

Signal peptide (pink), LRR domains (yellow), LRR-CT and LRR-NT (grey) followed by transmembrane and TIR domain (blue).
Alignment of tlr2 protein sequences.

Figure 3: Alignment of tlr2 protein sequences.

The sequences from human, zebra fish, rohu, common carp, large yellow croaker and channel catfish were aligned with magur tlr2 sequence to identify the conserved features and domains. Dashes represented amino acid deletions. The signal peptide is underlined, LRRs are highlighted in grey, transmembrane domain is indicated by boxes and also highlighted in grey, and the TIR domain is highlighted in black. Furthermore, LRRNT and LRRCT cysteines are indicated with arrows.

Structural identity and phylogenetic relationship of mtlr2 with other species

Similarity comparison of the mtlr2 nucleic acid sequence with pangasius, channel catfish, and yellow catfish revealed identity percentage of 83.19, 79.20 and 80.69, respectively at nucleic acid level. At the deduced amino acid level, the corresponding identity % was 77.63, 76.4, and 72.83, respectively with pangasius, channel catfish, and yellow catfish. With carp and higher vertebrate family, the identity % of mtlr2 amino acids was ~60 and ~37, respectively. The identity of conserved TIR domain of mtlr2 ranged from 89.9% with pangasius catfish to lowest 57.4% with Japanese flounder. TIR domain of mtlr2 shares highest identity with catfish group i.e. 89.9% with pangasius. TIR domain of mtlr2 shares identity of 77.5% with zebrafish, 64% with mouse and 65.2% with human (Table 2).

Table 2:
Identity of magur tlr2 at nucleotide and amino acid level with other fish and animal species.
Species Common name mtlr2 nucleotide identity (%) mtlr2 deduced aminoacid
Identity (%)
Tir domain aminoacid
Identity (%)
Pangasionodon hypophthalmus Pangasius 83.19 77.63 89.9
Ictalurus punctatus Channel catfish 79.20 76.4 86.52
Tachysurusfulvidraco yellow catfish 80.69 72.83 87.64
Pygocentrus nattereri red bellied piranha 71.38 63.98 78.65
Labeo rohita rohu 66.46 59.9 82.02
Cirrhinus mrigala mrigal 65.76 60.2 83.15
Megalobrama amblycephala Wuchang bream 66.52 60.4 80.9
Ctenopharyngodon idella Grass carp 66.56 60.2 82.02
Danio rerio zebrafish 58.8 58.1 77.5
Takifugu rubripes fugu 45.6 44.1 59.3
Oncorhynchus mykiss rainbow trout 55.0 48.4 69.7
Oreochromis niloticus Nile tilapia 53.7 43.9 57.9
Paralichthys olivaceus Japanese flounder 46.6 42.9 57.4
Chionodraco hamatus Antarctic teleost icefish 53.7 46.2 59.4
Homo sapiens Human 51.3 38.7 65.2
Gallus gallus Chicken 50.1 37.3 64
Bos taurus Cattle 51.4 38.4 64
Canis lupus familiaris Dog 52.3 39 65.2
Oryctolagus cuniculus Rabbit 51.0 38.4 65.2
Mus musculus Mouse 52.5 37.9 64
DOI: 10.7717/peerj.12411/table-2

Phylogenetic tree was constructed to understand the evolutionary relationship of mtlr2 with tlr2 reported from other teleosts. Among the fishes, tlr2 representing catfish group including magur, channel catfish, yellow catfish and pangasius were closely related and formed one cluster, and were well separated from carps viz., rohu, mrigal, common carp, grass carp and zebra fish. Within the members of catfish family, mtlr2 branched with pangasius and channel catfish, indicating close evolutionary relationship. Other group of fishes such as trout, bream, flounder, croaker, grouper, and cod formed a separate cluster from carps and catfishes. As oblivious from phylogenetic tree that fish tlr2 are well divergent from other higher animals (cluster-IV) (Fig. 4).

Phylogenetic relationship of magur tlr2 with other species.

Figure 4: Phylogenetic relationship of magur tlr2 with other species.

tlr2 amino acid sequences of fishes, human, animals were aligned using CLUSTALW program and the phylogenetic tree was constructed using the neighbour-joining method with the help of MEGA7 software. The branches were validated by bootstrap analysis from 1,000 replications, which were represented as bootstrap value in branch nodes. XP_026784977.1 Pangasius Catfish, AIT83001.1 gilt-head bream, ACT64128.1 Emerald rockcod,AFP44842.1 Nile tilapia, AFZ81806.1 striped beakfish, BAD01044.1 Olive flounder, AFG21856.1 miiuycroaker, CCK73195.1 rainbow trout, ADF81060.1 catla, XP_026114714.1 gold fish, AHI59129.1 Mrigal, AGO57934.1 crucian carp, AGR53440.1 prussian carp, ACT68333.1 Grass carp, ANI19836.1 Wuchang bream, XP_017572771.1 red bellied piranha, ANA09009.1 yellow catfish, ACT64128.1 Emerald rock cod, ACT64127.1 Antarctic teleost icefish, AEB32453.1 orange-spotted grouper, BAD01046.1 Japanese flounder, AAW69370.1 fugu, ABD17347.1 channel catfish, NP_997977.1 zebrafish, ACP20793.2 common carp, ADQ74644.1 rohu, BAB16113.2 Chicken, AAH14693.1 mouse, NP_942064.1 Rat, NP_001076250.1 Rabbit, AAH33756.1 Human, ADH84419.1 Chimpanzee, NP_001005264.2 Dog, ACH92789.1 Cattle, BAD90590.1 Pig.

Basal expression of mtlr2 and its downstream molecules

The qRT-PCR amplification efficiencies (E) of primer sets fell within the suitable experimental range as per MIQE guideline (Bustin et al., 2009) i.e., from 95.81% to 104.66%; while correlation coefficient (R2) ranged from 0.989 to 0.998 respectively (Table 3). Tissue specific expression of mtlr2, myd88, nf-kb and il-1β gene in twelve different tissues including gill, liver, spleen, anterior kidney, posterior kidney, intestine, accessory respiratory organ (ARO), stomach, muscle, brain, heart and skin was evaluated by qRT-PCR assay. Their expression in various organs/tissues was normalized with the reference gene ef-1α and represented as relative fold changes from the lowest expressing tissue (calibrator). Highest basal expression of mtlr2, myd88 and il-1β in spleen, nf-kb in anterior kidney was observed. Lowest basal expression of mtlr2 in skin and myd88, nf-kb, il-1β in muscle was detected. Although, the tissue-specific expression of mtlr2 was varied but the expression was at detectable level in all the examined tissue (Figs. 5A5D).

Basal expression of mtlr2 (A), myd88 (B), nf-kb (C) and il-1β (D) genes in various tissues.

Figure 5: Basal expression of mtlr2 (A), myd88 (B), nf-kb (C) and il-1β (D) genes in various tissues.

The qRT-PCR was carried out to analyse basal expression of these genes in gill, liver, spleen, intestine, anterior kidney, posterior kidney, stomach, skin, muscle, heart, brain and accessory respiratory organ (ARO). The mRNA transcript levels in various tissues were represented as ratio relative to ef-1α (internal control). Basal expression in the studied tissue represented as fold change from calibrator. Skin expressed lowest mtlr2, was used as calibrator and muscle used as calibrator for myd88, nf-kb and il-1β. The results were expressed as mean ± standard error of mean (bars) from three fish (n = 3).
Table 3:
The amplification efficiencies (E) and correlation coefficient (R2) of qRT-PCR primers used in this study.
Symbol Amplification efficiencies (%) Correlation coefficient (R2)
tlr2 104.66 0.998
myd88 102.45 0.989
nf-kb 97.94 0.989
il-1β 95.81 0.996
ef-1α 99.25 0.998
DOI: 10.7717/peerj.12411/table-3

Inductive expression of mtlr2 in response to S. aureus

Modulations of mtlr2 gene transcripts were analyzed in gill, liver, spleen, intestine and kidney by qRT-PCR following i.p. injection of S. aureus. As shown in Fig 6, mtlr2 expression was significantly induced in various tissues at different time points.

Modulation of mtlr2 expression following S. aureus infection.

Figure 6: Modulation of mtlr2 expression following S. aureus infection.

S. aureus (1 × 105 cfu/fish) was injected into magur juveniles by intra peritoneal route. At each experimental time point, total RNA was extracted from gill, liver, spleen, intestine, kidney; qRT-PCR was conducted to analyse the expression of mtlr2. ef-1α was used as an internal control. The results were expressed as mean ± standard error (bars) from three fish (n = 3). a,b,c: p values significant at <0.05, <0.01, <0.001 levels, respectively, compared to controls (one-way ANOVA).

Differential expression of mtlr2 and its downstream signaling molecules in response to A. hydrophila infection

Modulation of mtlr2 expression was studied following A. hydrophila infection in gill, liver, spleen, intestine and kidney. The kinetics of up-or down-regulation of the mtlr2 gene exhibited a similarity of general trend, rising to a high level at 3 to 24 hpi and then falling to the basal level at 72 to 144 hpi, but the up-and down-regulation differed at different time points in different tissues. A significant up-regulation of mtlr2, myd88, nf-kb gene expression was observed in gill, liver, spleen, intestine and kidney within 24 hpi (Figs. 7A7C). Similarly, significantly up-regulated expression of il-1β, a pro-inflammatory cytokine was noticed in gill, liver, spleen, intestine and kidney within 24 hpi (Fig. 7D).

Modulation of mtlr2 (A), myd88 (B), nf-kb (C), il-1β (D) expression following A. hydrophila infection.

Figure 7: Modulation of mtlr2 (A), myd88 (B), nf-kb (C), il-1β (D) expression following A. hydrophila infection.

A. hydrophila (1 × 105cfu/fish) was injected into magur juveniles by intra peritoneal route. At each experimental time point, total RNA was extracted from gill, liver, spleen, intestine, kidney; qRT-PCR was conducted to analyse the expression of mtlr2 and its down-stream signaling molecules. ef-1α was used as an internal control. The results were expressed as mean ± standard error (bars) from three fish (n = 3).a,b,c: p values significant at <0.05, <0.01, <0.001 levels, respectively, compared to the controls (one-way ANOVA).

Discussion

In the present study, we have identified an orthologue of mammalian tlr2 in Indian catfish, C. magur which is a potential aquaculture species in South-East Asia. Two mRNA instability motifs (ATTTA) were found in the 3′-UTR, which suggest that mtlr2 may be transiently expressed. Two mRNA instability motifs (ATTTA) were also reported in turbot (Zhang et al., 2016). The full-length cDNA of mtlr2 is of 3,066 bp and comprised of an ORF of 2,373 bp nucleotide in length, encoding 790 amino acid residues. The putative mtlr2 protein possesses the four typical component of tlr families from N-to C-terminus i.e., signal peptide, one LRR each at N-and C-terminal, twenty extracellular LRR domains in between N-and C-terminal, trans-membrane domain and highly conserved cytoplasmic TIR domain. Number of LRR domain in other fishes reported are nine LRRs in channel catfish (Baoprasertkul et al., 2007), 21 in rohu (Samanta et al., 2012), 20 LRRs in human, zebra fish, channel catfish, common carp (Fink et al., 2016), 19 in turbot (Zhang et al., 2016), 11 in silvery pomfret (Gao et al., 2016), 8 in yellow catfish (Pelteobagrus fulvidraco) (Zhang et al., 2017), 8 in Dabry’s sturgeon (Tang et al., 2020). The number of LRR signifies the functional capability to respond various agonists. Structurally, mtlr2 is closely related to channel catfish tlr2 gene, which also consists of an ORF of 2,373 bp encoding protein of 790 amino acids (Baoprasertkul et al., 2007). Our finding on number of LRRs are similar to finding by Samanta et al. (2012); Fink et al. (2016); Zhang et al. (2016). Also, the genomic structure of a single exon and no intron reported in human, zebra fish, and channel catfish tlr2 (Baoprasertkul et al., 2007), but fugu and Japanese flounder tlr2 gene encoded by 11 and 12 exons, respectively (Oshiumi et al., 2003; Hirono et al., 2004). Whether mtlr2 gene possesses introns or not needs further investigation. Two microsatellites were detected in the UTR of mtlr2 i.e., pentamer pentarepeat (GTTTT)5 at 69 bp of 3′UTR and dimer octarepeat (AC)8 at 2,862 bp of 5′UTR. One hexamer tri-repeat (CTGACT)3 also present in coding region. In channel catfish, two microsatellites were identified in tlr2 sequence i.e., (AT)9 repeat at 632 bp and an (AC)21 repeat at 3,606 bp (Baoprasertkul et al., 2007). The identified microsatellite will allow the mapping of tlr2 gene and future quantitative trait loci (QTL) analysis in C. magur.

The phylogenetic tree constructed using different vertebrate tlr2 with that of mtlr2 showed a possible four major clades; carps, catfishes, other teleosts, and higher vertebrates. Phylogenetically, mtlr2 is closely related to pangasius and channel catfish. The close phylogenetic relationship indicates the functional similarities. Study on channel catfish tlr2 amino acid showed 60.2% sequence similarity with zebrafish and 41.1% sequence similarity with human and mouse, whereas conserved TIR domain of channel catfish identity ranged from 82.2% with zebrafish and 65.1% with flounder (Baoprasertkul et al., 2007). However, in our study, mtlr2 showed 58.1% amino acid sequence similarity with zebra fish tlr2 while only 38.7 % amino acid sequence identity with human and 37.9% with mouse. TIR domain of mtlr2 shares highest identity with other catfish group i.e., 89.9-87.64%, 77.5% with zebrafish, 64% with mouse and 65.2% with human. The conserved TIR domain of mtlr2 identity ranged from 89.9% with pangasius to lowest 57.4% with Japanese flounder. This indicates huge structural variability in TIR domain between fresh water and marine water fishes.

Basal expression analysis of mtlr2 and its downstream-signaling molecule myd88, nf-kb and il-1β showed constitutive expression in all the twelve tissues examined. The mtlr2 showed higher level of basal expression in spleen and lower basal expression in skin. High level of tlr2 basal expression has been detected in liver of channel catfish, spleen of yellow catfish, spleen of rohu, liver of turbot, muscle of tongue sole, head kidney of ray fish, blood of golden pompano, head-kidney of common carp. Lowest level of tlr2 basal expression has been detected in skin and muscle of channel catfish, eye of yellow cat fish, eye and skin of rohu, skin of turbot, intestine and blood of tongue sole, liver of golden pompano, muscle in common carp, intestine of ray fish, (Baoprasertkul et al., 2007; Samanta et al., 2012; Liu et al., 2016; Li & Sun, 2016; Fink et al., 2016; Zhang et al., 2017; Wu et al., 2018; Tang et al., 2020). The variation in the basal expression of tlr2 in different teleosts might be attributed to their wide diversity in habitat and the microbial invaders they encounter. In the present study, highest basal expression of myd88 was detected in the spleen and lowest in the muscle. Basal expression analysis of myd88 in yellow catfish (Pelteobagrus fulvidraco) showed ubiquitous expression with the highest myd88 expression detected in spleen and the lowest in liver (Yu et al., 2018). The basal expression of nf-kb in magur was lowest in muscle, and highest in anterior kidney. Literature survey shows that till now there is no study on basal expression of this very important gene of TLR pathway in any fish species. This is the first report on basal expression of nf-kb gene in magur. Further, in this study, lowest basal expression of il-1β observed in muscle and calibrated higher basal expression in spleen. In large yellow croaker lcil-1β showed higher expression in head kidney followed by gill, liver, and intestine (Wu et al., 2015).

tlr2 responds to various ligand (PGN, LTA, LPS, zymosan etc.) and pathogens in higher vertebrates as well as in lower vertebrates like teleosts. Our finding also validates that mtlr2 is induced in response to S. aureus in several tissues of magur. As literature suggests that PGN is the major cell wall component of this bacterium, which might be responsible for inducing expression of mtlr2. Inductive expression of mtlr2 in response to PGN of Gram-positive bacteria have been reported in large orange spotted grouper (Wei et al., 2011), yellow croaker (Fan, Jia & Yao, 2015), rohu (Samanta et al., 2012), common carp (Ribeiro et al., 2010; Fink et al., 2016). There are few reports on induction of fish tlr2 to Gram-negative pathogens also. Significant up-regulation of lctlr2 transcript in yellow croaker was detected after V. parahaemolyticus infection and LPS stimulation (Fan, Jia & Yao, 2015). Up-regulated expression of tlr2 in response to A. hydrophila has been reported in channel catfish, hybrid sturgeons, yellow catfish (Mu, Pridgeon & Klesius, 2013; Zhang et al., 2017; Wen et al., 2017; Jiang et al., 2018). This could be due to binding of tlr2 to lipoproteins, PGN carried by A. hydrophila (Zhang et al., 2017). These findings suggest that the tlr2 in fish may also recognise Gram-negative bacteria in addition to its known ligands, but more evidence is needed to substantiate this.

Significant up-regulation of mtlr2 detected in gill, liver, spleen, intestine and kidney at 3, 8 or 24 hpi indicating early response of tlr2 to A. hydrophila infection in magur was observed in our study. These findings are supported by Mu, Pridgeon & Klesius (2013), they have reported that transcriptional kinetics of the tlr2 peaked in the anterior kidney (~5 fold increase) of channel catfish at 3 h post exposure to A. hydrophila. Zhang et al. (2017) also reported that A. hydrophila infection increased tlr2 expression in spleen, head kidney and trunk kidney at 12 or 24 hpi. A. hydrophila infection challenge in mrigal induced tlr2 expression in kidney (~4.5 fold at 12 h), gill (~1.5 fold at 12 h) and in the liver, intestine (Basu et al., 2012). Our result shows that, as a part of innate immune defence system, mtlr2 expression is enhanced following A. hydrophila infection in magur.

In this study, a significant up-regulated mtlr2, myd88, nf-kb, il-1β gene expression observed in liver, spleen, intestine and kidney at 3, 8, 24 hpi, in gill at 8 or 24 hpi. myd88 is a key adopter molecule and play an important role in facilitating downstream signaling of all toll-like receptors except tlr3. Our finding is supported by Huang et al. (2018), they reported a significant higher level of myd88 expression at 8 hpi in Anguilla japonica infected with E. tarda in head kidney, spleen, liver, intestine, gill and skin. In Wuchang bream (Megalobrama amblycephala), myd88 expression peaked at 12 hpi of A. hydrophila (Lai et al., 2017). All the TLR pathways culminate in activation of transcription factor nf-kb which control expression of wide array of cytokines (Kawai & Akira, 2007). The effecter cytokine molecule il-1β play crucial role in physiological events such as immune response, inflammation, cell growth and differentiation, apoptosis. Significantly up-regulated expression of nf-kb and il-1β in the spleen and muscle has been reported in koi carp following A. sobria infection (Byadgi et al., 2018).

A well-correlated expression pattern of mtlr2 and the downstream signaling molecules i.e. myd88, nf-kb and il-1β was observed in the respective tissues, during the initial hours (3 to 24 hpi) of infection. Higher expression of mtlr2, myd88, nf-kb, il-1β in internal organ such as intestine, kidney, spleen and liver than gill may be due to intra-peritoneal mode of experimental bacterial infection. Further, it also can be speculated that intestine and kidney are the two earliest responding organs to A. hydrophila infection. The results obtained in the present study are in agreement with the findings by Samanta et al. (2012) and Li & Sun (2016), on regulation of tlr2 and its downstream-signaling molecules in rohu and tongue sole, respectively following bacterial infections.

Conclusion

In conclusion, full-length cDNA sequence of magur tlr2 was generated and characterised. A well-correlated expression pattern of mtlr2 and the downstream signaling molecules i.e., myd88, nf-kb and il-1β was observed in gill, liver, spleen, intestine and kidney during the initial hours (3 to 24 hpi) of A. hydrophila infection in magur cat fish.

Supplemental Information

Basal expression and relative quantitative expression.

DOI: 10.7717/peerj.12411/supp-1

Toll like receptor 2 (Tlr2)Indian catfish, Clarias magur.

DOI: 10.7717/peerj.12411/supp-2
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