Accepted Manuscript Interleukin 17A is an immune marker for chlamydial disease severity and pathogenesis in the koala (Phascolarctos cinereus) Marina Mathew, Courtney Waugh, Kenneth W. Beagley, Peter Timms, Adam Polkinghorne PII: DOI: Reference:

S0145-305X(14)00151-7 http://dx.doi.org/10.1016/j.dci.2014.05.015 DCI 2202

To appear in:

Developmental & Comparative Immunology

Received Date: Revised Date: Accepted Date:

14 April 2014 22 May 2014 22 May 2014

Please cite this article as: Mathew, M., Waugh, C., Beagley, K.W., Timms, P., Polkinghorne, A., Interleukin 17A is an immune marker for chlamydial disease severity and pathogenesis in the koala (Phascolarctos cinereus), Developmental & Comparative Immunology (2014), doi: http://dx.doi.org/10.1016/j.dci.2014.05.015

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Interleukin 17A is an immune marker for chlamydial disease severity and pathogenesis in the

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koala (Phascolarctos cinereus)

3 4 5 Marina Mathew1, Courtney Waugh1, 2, Kenneth W. Beagley1, Peter Timms1, 2 and, Adam Polkinghorne1, 2*

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Institute of Health & Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove 4059, Brisbane, Australia.

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Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, 90 Sippy Downs Dr, Sippy Downs 4558, QLD, Australia.

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*Corresponding author:- Faculty of Science, Health, Education and Engineering, University

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of the Sunshine Coast, 90 Sippy Downs Dr, Sippy Downs 4558, QLD, Australia

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Tel.+61 7 54594674; [email protected]

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Abstract

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The koala (Phascolarctos cinereus) is an iconic Australian marsupial species that is facing

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many threats to its survival. Chlamydia pecorum infections are a significant contributor to

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this ongoing decline. A major limiting factor in our ability to manage and control chlamydial

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disease in koalas is a limited understanding of the koala’s cell-mediated immune response to

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infections by this bacterial pathogen. To identify immunological markers associated with

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chlamydial infection and disease in koalas, we used koala-specific Quantitative Real Time

31

PCR (qrtPCR) assays to profile the cytokine responses of Peripheral Blood Mononuclear

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Cells (PBMCs) collected from 41 koalas with different stages of chlamydial disease. Target

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cytokines included the principal Th1 (Interferon gamma; IFNγ), Th2 (Interleukin 10; IL10),

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and pro-inflammatory cytokines (Tumor Necrosis Factor alpha; TNFα). A novel koala-

35

specific IL17A qrtPCR assay was also developed as part of this study to quantitate the gene

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expression of this Th17 cytokine in koalas. A statistically significant higher IL17A gene

37

expression was observed in animals with current chlamydial disease compared to animals

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with asymptomatic chlamydial infection. A modest up-regulation of pro-inflammatory

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cytokines, such as TNFα and IFNγ, was also observed in these animals with signs of current

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chlamydial disease. IL10 gene expression was not evident in the majority of animals from

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both groups. Future longitudinal studies are now required to confirm the role played by

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cytokines in pathology and/or protection against C. pecorum infection in the koala.

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Keywords

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Koala, Chlamydia, TNFα, IFNγ, IL10, IL17A

46

2

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1. Introduction

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Chlamydia pecorum is an obligate intracellular Gram-negative bacterium, which has been

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associated with infection and disease in a wide range of animal hosts such as cattle, sheep,

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goats, and the koala (Longbottom and Coulter, 2003; Mohamad and Rodolakis, 2010;

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Polkinghorne et al., 2013). In the koala, chlamydial disease is a major contributing factor to

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localised extinctions of populations in Queensland and New South Wales; indeed a recent

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study indicated that chlamydiosis was a leading cause of admission to a wildlife care hospital

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in the latter Australian state, second only to trauma (Griffith et al, 2013). The associated

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disease caused by C. pecorum chronic infections contributes to the morbidity and mortality of

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the species via blindness, infertility and in severe cases, death (Polkinghorne et al., 2013).

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These ocular, urinary, and genital tract pathologies somewhat mirror those seen in humans

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with C. trachomatis infections (Hemsley and Canfield, 1997).

59 60

Studies of the pathogenesis of chlamydial disease in humans and animal models have shown

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that the host immunological response to chlamydial infection is the major determinant of

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protection, as well as immunopathology, of the associated disease (Entrican et al., 2004;

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Loomis and Starnbach, 2002; Mascellino et al., 2011). Even though protection against

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chlamydial infection has been traditionally associated with CD4+ mediated pro-inflammatory

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Th1 response concurrent with IFNγ secretion (Loomis and Starnbach, 2002; Hafner et al.,

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2008), recent studies in animal models have implicated the IL17A cytokine, secreted by the

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Th17 cell lineage, to have a similar role through neutrophil recruitment (Scurlock et al., 2011;

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Andrew et al., 2013). The IL17A cytokine has been shown to play a role in the immune

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response to extracellular bacteria (Ye, 2001) as well as intracellular bacteria (Lin, 2009).

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Being a biphasic bacteria, the potential role for the IL17A cytokine in chlamydial immunity

3

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has generated considerable interest. Studies involving respiratory (Zhou, 2009; Zhang, 2009;

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Bai, 2009; O’Meara et al., 2013a) and genital tract models of C. muridarum infection in mice

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(Scurlock, 2011; O’Meara et al., 2013b) have found IL17A production to be protective in the

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early stages of disease. Further, a predominantly Th2 response, dominated by anti-

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inflammatory IL10 secretion (Yang, 2001), has been implicated with the fibrotic reaction

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seen in chlamydial infection due to its suppressive effect on the Th1 response (Miguel et al.,

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2013).

78 79

We have previously begun to evaluate the IFNγ, IL10 and TNFα cytokine profiles of koalas

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with current chlamydial disease versus a previous infection (Mathew et al., 2013a; Mathew et

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al., 2013b). This analysis revealed a strong systemic response in animals with signs of current

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chlamydial disease. While general trends could be observed, the overall cytokine expression

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patterns were highly variable across groups, an observation that is not surprising given that:

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1) the animals were from an out-bred population; 2) the level of disease expression varied;

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and 3) the time course of infection for each animal was unknown.

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Previous studies conducted in this field did not analyse the role played by IL17A in koala

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chlamydial disease due to an absence of sequence information and assays (Mathew et al.,

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2013a; Mathew et al., 2013b). Hence, the current study not only aims to investigate the role

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played by pro-inflammatory IL17A cytokine in koala chlamydiosis but also aims to analyse a

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larger cohort of koalas to identify cytokine profiles that may be associated with protective

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versus disease-associated immune responses. The identification of these koala immunological

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profiles will help us understand why some animals experience only asymptomatic infection

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prior to clearance, versus those that develop debilitating immunopathology.

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2.0 Materials and Methods

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2.1 Ethics statement

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Queensland University of Technology (QUT) Animal Ethics Committee (Approval No.

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0700000845) approved the collection and subsequent analysis of the koala blood and swab

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samples. Blood samples were collected by qualified veterinarians from wild-caught koalas

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captured as part of a larger field study in the Moreton Bay region of South East Queensland,

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Australia. Samples were collected from animals anaesthetised as part of a thorough health

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evaluation.

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2.2 Sample Collection

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and stored at 4oC for processing within 24 hours of collection. Swabs were collected from the

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conjunctiva of the left eye and right eye, urogenital sinus (females) and urethra (males) using

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aluminium shafted cotton tipped swabs (Copan, Interpath Services, Melbourne).

Blood samples (5-6 mL) from 41 wild-caught anaesthetised koalas, were collected in EDTA

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2.3 Koala lymphocyte proliferation, RNA extraction and reverse transcription assays

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Koala peripheral blood mononuclear cells (PBMCs) were harvested from the blood samples

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and suspended to a final concentration of 2 x 106 cells/ml in RPMI 1640 T cell media, as

114

previously described (Mathew et al., 2013a). Cells mixed with equal volume of T cell

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mitogens PMA (1µg/ml) and Ionomycin (50ng/ml) were used as positive controls for

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lymphocyte proliferation. Koala PBMCs were stimulated with UV-inactivated C. pecorum G

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at 1/20 dilution to estimate cytokine production upon exposure to chlamydial antigens. RNA

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extraction and cDNA synthesis were completed from cells harvested at 0, 12 and 24 hours

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post-stimulation as described in Mathew et al., 2013a. 5

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2.4 Bioinformatic analysis

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Multiple sequence alignments were constructed using the Geneious Alignment program in

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the Geneious Pro 5.6.5 software and GeneDoc version 2.7.000 software. Predicted marsupial

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IL17A sequences were obtained from Ensembl: opossum (ENSMODT00000023892),

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Tasmanian devil (ENSSHAT00000014284) and wallaby (ENSMEUT0000005320).

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2.5 Cloning and sequence analysis of Koala IL17A mRNA sequence

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Primers were designed based on a homologous sequence alignment constructed using IL17A

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sequence from other marsupial species including the wallaby, opossum and Tasmanian devil.

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Using wallaby IL17A sequence as the reference, primers were designed targeting a 450bp

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sequence of the coding region. Conventional PCR was performed on cDNA samples pooled

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together from PBMCs stimulated with PMA/Ionomycin at 12 and 24 hours, and unstimulated

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samples at 0 hours. After PCR amplification of a product of the expected size, this was

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cloned into a plasmid using the Promega pGEM-T Easy Vector Systems I as previously

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described (Mathew et al., 2013a) and sequenced at Australian Genome Research Facility

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using the AB 3730xl platform.

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2.6 IL17A qrtPCR assay design and optimisation

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The koala IL17A sequence identified was utilised to develop a qrtPCR assay with SYBR

139

green I dye based chemistry to amplify a 282bp product of the koala IL17A coding sequence.

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Primer

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GGAGTCTCAATGCCAAAGAGG,

sequences

for

this

reaction

are

as

follows:

IL17Af

-

IL17Ar - GACGGAGTTCACGTGGTGGT. The

6

142

primer pairs were designed to amplify a PCR product that spanned over two exons in order to

143

avoid co-amplification of genomic DNA in the PCR reaction.

144 145

A standard curve was constructed using serial dilutions with known concentrations of the

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282bp PCR product to determine assay efficiency as previously described (Mathew et al.,

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2013a). Reactions were carried out in a Corbett Rotor Gene 6000 real time PCR machine at a

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final volume of 20 µl, with 1 unit of FastStart Taq Polymerase (Roche), 2 µl of 25mM MgCl2

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(Roche), 2 µl of 10 x buffer (Roche), 0.6 µl of 10 mm dNTPs (Roche), 3 µl of 1/10000

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SYBR Green, 0.6 µl each of 10 mM forward and reverse primers each and 2 µl of template

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DNA. After an initial incubation of 95oC for 10 mins, 40 cycles of 20 s at 95 oC, 25 s at 65oC

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and 25 s of 72oC were carried out for each IL17A qrtPCR. All samples were tested in

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duplicate. A mastermix with no cDNA was used as the no template control, and water was

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used as the negative control.

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A glyceraldehyde 3-phosphate dehydrogenase (GAPDH) qrtPCR assay described in Mathew

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et al. (2013a) was used as a reference gene for relative quantification. GAPDH has been

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chosen as the reference gene because of its relatively stable expression following stimulation

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with the mitogens as well as the test antigen used in this study. This finding has been

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confirmed by Maher et al. (2014) who reported GAPDH to be a suitable housekeeping gene

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for normalising cytokine expression by koala lymphocytes. The IL17A cytokine gene was

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normalised to GAPDH by the 2 -∆∆CT method, where ∆∆CT = (Ct of target - Ct of GAPDH) at

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any time point - (Ct of target - Ct of GAPDH) at time zero hour (Livak and Schmittgen,

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2001).

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2.7 Cytokine targets for analysis

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IFNγ, IL10, TNFα, and GAPDH mRNA expression levels were determined using optimised

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koala-specific qrtPCR assays, as previously reported (Mathew et al., 2013a; Mathew et al.,

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2013b). The qrtPCR primers used in this study are summarised in Table 1. Prior to this study,

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the koala IL17A sequence was not known and so no IL17A assay was available.

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2.8 C. pecorum infection status via PCR and western blot

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The koalas captured as part of this study were screened for the presence of current or

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previous C. pecorum infection via two approaches: 1) 16SrRNA C. pecorum species-specific

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qrtPCR assays applied to swab samples collected from the conjunctiva and urogenital sinuses

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of koalas (Wan et al., 2011); and 2) for the presence of Chlamydia specific antibodies in

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plasma using C. pecorum His-tagged major outer membrane protein (MOMP) A, F and G

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western blot screening (Kollipara et al., 2012).

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2.9 Statistical analysis

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Mann Whitney U test with a P value set at 0.05 was used to analyse the significance of target

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cytokine gene expression in Group I/ No Disease vs Group II/ Diseased with reference to

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GAPDH. Statistical comparison between different cytokine gene expressions within a group

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was performed using the Wilcoxon matched pair test. Graph-Pad Prism version 5 (Graph Pad

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Software, Lajolla, CA, USA) was used to perform statistical analyses.

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3.0 Results

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3.1 Koala IL17A nucleotide sequence identification

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Prior to the commencement of this study, no sequence or assays were available for measuring

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the koala IL17A immune response. For this purpose, we cloned and sequenced the coding

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region of koala IL17A. Using primers designed to conserved regions of the predicted

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opossum, wallaby and Tasmanian devil IL17A sequences, a 462 base pair partial IL17A

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mRNA sequence was identified following PCR amplification and sequencing (GenBank

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under Accession number KJ174517). Not surprisingly, similar to the sequences for other

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koala cytokines that we recently reported (Mathew et al, 2013a & b), koala IL17A shares

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greatest similarity to the algorithm-predicted gene sequences for marsupial IL17A sequences

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of

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ENSMODT00000023892) and Tasmanian devil (83.8%; ENSSHAT00000014284) compared

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to experimentally-verified mammalian (e.g. Human –69%; GenBank ID - BC067505) or

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avian sequences (e.g. Chicken – 51.7%; GenBank ID - AM773756).

the

tammar

wallaby

(89.4%;

ENSMEUT0000005320),

opossum

(84.2%;

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3.2 IL17A qrtPCR assay development and optimisation

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A koala-specific IL17A qrtPCR was developed to measure IL17A gene expression in the

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peripheral blood of the koala. The primers were designed to span over at least one intron-

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exon junction to avoid co-amplification of any residual genomic DNA. IL17A gene

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expression was measured at 0, 12, and 24 hours in: 1) unstimulated koala PBMCs; 2) PBMCs

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stimulated with PMA/ Ionomycin; and 3) PBMCs stimulated with UV-inactivated C.

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pecorum strain G. In many of the animals there was no observable IL17A gene expression in

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unstimulated PBMCs at 0 hours. For the purpose of analysis, these samples were assigned to

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have a Ct value of 30. The reaction has a detection limit of approximately 2 copies at a

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threshold of approximately 30 cycles (data not shown). Hence, the samples with no

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detectable IL17A at 0 hours in unstimulated samples were assigned a Ct of 30 to enable use

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of the 2 -∆∆CT method and as such enabling comparison of expression levels amongst the

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different cytokines.

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Following assay optimization, an R2 value of 0.99 and reaction efficiency of greater than

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90% was observed in all subsequent PCR runs. Reproducibility of the assay was measured

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and confirmed by comparing the Ct values of standards in consecutive runs, which were

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found to be similar. These parameters illustrated that the IL17A qrtPCR assay was optimised

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and could be used for quantification of this gene in an unknown sample.

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3.3 Characterisation of the current and previous Chlamydia infection status of

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asymptomatically infected and diseased koala cohorts

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Forty one koalas were captured, clinically examined and sampled as a part of an ongoing

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study of healthy koalas in a wild population in South-East Queensland. At the time of

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sampling, 12 of these animals displayed evidence of chlamydial disease (Group II; Table 3),

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with 11 animals presenting with cystitis only with no evidence of ocular disease, while the

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remaining one animal had conjunctivitis only. The remaining 29 animals displayed no signs

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of chlamydiosis (Group I; Table 2).

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To investigate their current or previous chlamydial infection status, C. pecorum species-

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specific qPCR assays and/or anti-C. pecorum MOMP Western blots were performed (Table 2

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and 3). Initially, the animals were screened using the 16S rRNA qrtPCR. The qrtPCR

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negative animals were then also screened by MOMP western blot. Of the 41 animals studied,

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only three animals were negative for C. pecorum 16S rRNA, however, these animals tested

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positive for MOMP antibody via Western blot screening, indicating that they had seen a

10

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previous infection. Based on these results and the presence of clinical signs of chlamydiosis,

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the 41 koalas were grouped as follows: Group I/ No Disease (n = 29) – C. pecorum PCR

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and/or western blot positive without overt signs of chlamydiosis; Group II/ Diseased (n = 12)

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– koalas with current signs of chlamydiosis and C. pecorum PCR positive. Evaluation of the

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presence or absence of clinical signs of chlamydiosis was performed by experienced

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veterinarians from Endeavour Veterinary Ecology, (EVE) Toorbul, Australia. Group II/

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Diseased animals were further classified into koalas with active (n=9) and inactive (n=3)

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disease based on the veterinary evaluation and chlamydial disease scoring criteria

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recommended by Wan et al. (2011). The presence of pyuria and suppurative exudate at the

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ocular and urogenital site was considered to be characteristic of active chlamydial disease.

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The presence of inflammatory cells in the urine sediment of koalas with cystitis was a further

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indication of active disease. Inactive chlamydial disease was classified as disease in the

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absence of these additional features.

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Of the 29 animals included in Group I/No Disease, 26/29 of the animals in this group were

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PCR positive for C. pecorum DNA. For all but one of these PCR positive animals, C.

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pecorum DNA could be detected at both the UGT and at least one of the two ocular sites. The

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exception to this group of PCR positive animals was one koala (My), who was found to be

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PCR positive in both eyes but negative for C. pecorum in the UGT. The remaining three

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animals in this group that were PCR negative, however, were found to be serology positive

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using our C. pecorum MOMP Western blots (Table 2; data not shown).

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For the 12 animals in Group II/Diseased (Table 3), all animals were found to be PCR positive

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in the UGT. Ocular shedding was less common, however, with C. pecorum DNA detected in

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only one animal with cystitis (Barry) and in an animal (Beauty) with signs of unilateral

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conjunctivitis in the right eye (Table 3). 11

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3.4 Expression profiling of the IFNγ, IL10, IL17A and TNFα responses of Chlamydia-infected

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koalas with or without clinical disease

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In order to evaluate the immune-recognition and systemic cytokine response of koalas with

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current or previous C. pecorum infection, PBMCs isolated from the koalas were stimulated

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with UV inactivated, semi-purified C. pecorum G for 12 and 24 hours. IL17A, TNFα, IFNγ,

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and IL10 gene expression was measured as previously described (Mathew et al., 2013a;

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Mathew et al., 2013b). With one as the base line for unstimulated PBMCs at 0 hour, fold

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increase in gene expression was measured for each cytokine of interest.

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Duplicate stimulation experiments were performed with PMA/ Ionomycin stimulation to

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evaluate cell viability and to generate positive controls for our qrtPCRs. PMA/Ionomycin has

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been found to be an effective mitogen to stimulate koala PBMCs in a recent study (Maher et

271

al., 2014). Strong expression, defined as a > 50 fold increase in expression following

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stimulation, could be observed in at least one cytokine (TNFα, IFNγ and IL17A) for the

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majority of koalas (38/41, 92%). IL10 expression, on the other hand was lower compared to

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the other cytokines across both cohorts, with an average fold change < 10 for all but four of

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the 41 animals. The latter four animals also expressed high levels of one of the other three

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cytokines.

277 278

When PBMCs from Group I/ No Disease (n=29) animals with evidence of current or past C.

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pecorum infection in the absence of chlamydial disease were stimulated with UV inactivated

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C. pecorum G, significant variation in the cytokine responses were observed. The geometric

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mean, median and range of the four cytokines quantified for the animals in this cohort is

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summarised in Table 4. Of the 29 animals analysed in Group I/ No Disease, a very low

12

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IL17A gene expression ranging between 0 – 1 was observed in 16 animals (55%) following

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exposure to C. pecorum. Koalas which had a gene expression of 0 for IL17A, were assigned

285

the fold increase as 0.01, which is the lowest detectable fold increase in the cohort of koalas

286

included in this study. For 11 of the 29 koalas, IL17A transcripts could only be detected

287

following antigen stimulation and not at the 0 hour time point. Seven of the 29 koalas (24%)

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koalas did not have any detectable IL17A transcription within 24 hours of C. pecorum

289

stimulation.

290 291

Amongst the other cytokines analysed, the lowest fold change increase was observed for

292

IFNγ gene expression with a geometric mean of 2.1 and fold change ranging between 0.02 –

293

364.6. When comparing the expression profiles of each of the cytokines in this group, TNFα

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gene expression was found to be significantly higher (p<0.05) than the expression of IFNγ

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and IL10. There were no statistically significant difference in the IL17A expression within

296

Group I/ No Disease.

297 298

Similar to the Group I/No Disease animals, there was considerable animal-to-animal

299

variation in the cytokine responses of Group II/Diseased animals with signs of current

300

chlamydial disease and evidence of an ongoing C. pecorum infection (n=12), however, some

301

trends could be observed (Table 4). The strongest expression results for animals in this group

302

following C. pecorum antigen stimulation were for IL17A, with a geometric mean of 34.8

303

and fold change range of 1.4 - 445. A relatively lower IL17A expression was observed only

304

for one animal with conjunctivitis (2.0 fold change) and another two animals whose

305

expression response for all the tested cytokines was relatively low. The observed fold change

306

in gene expression for IL17A was significantly higher than that observed for IL10 (p<0.03)

13

307

and TNFα as well (p<0.01). Though not statistically significant, a general trend of higher

308

IL17A gene expression was observed in koalas with active chlamydial urogenital disease

309

than in animals with inactive disease.

310 311

When comparing the gene expression profiles of the two cohorts together, IL17A expression

312

was found to be significantly “stronger” in the Group II/Diseased group animals (p<0.009).

313

There were otherwise no statistically significant differences between the cytokine gene

314

expressions of both groups, although a general trend towards proinflammatory cytokine

315

secretion was observed in the Group II/Diseased animals (Table 4). Hence, the key difference

316

in the cytokine profile of the two groups was a statistically significant IL17A gene expression

317

amongst the diseased group of animals.

318 319 320

Discussion

321

Chlamydia is a bacterium with a complex biphasic development cycle, involving inter-

322

conversion between extracellular and intracellular forms. It has been hypothesised that the

323

response to both these intracellular and extracellular developmental forms requires a balanced

324

Th1 and Th2 response (Darville and Hiltke, 2010). Several recent studies have also suggested

325

a seminal role for Th17 in chlamydial pathogenesis (Andrew et al., 2013; O’Meara et al.,

326

2013a; O’Meara 2013b). However, extensive studies in humans are yet to truly understand

327

the natural immune response to this obligate intracellular bacterium (Geisler, 2010), let alone

328

the differences that will influence a protective versus pathological outcome (Agrawal et al.,

329

2009).

14

330 331

In the current study, we performed a cross-sectional profiling of Chlamydia-infected koalas

332

with and without evidence of chlamydial disease by measurement of a range of important

333

cytokine gene markers. Though not statistically significant, a trend towards a higher pro-

334

inflammatory cytokine profile was observed in Group II/Diseased animals when compared to

335

the Group I/No Disease animals. Although the immune response of animals within each

336

cohort was highly variable, significant differences were observed in the IL17A response of

337

koalas in Group I/No Disease and Group II/ Diseased, with animals in the latter group

338

showing strong increases in IL17A gene expression following exposure to C. pecorum

339

antigen. Although we do not have cell-specific markers for koalas, the strong fold-change in

340

expression of these koalas suggests that diseased koalas have high levels of Th17 cells in

341

their peripheral blood. In other animal models, αβ T cells, γδ T cells, invariant Natural Killer

342

T cells (iNKT) cells, Lymphoid Tissue inducer (LTi)-like cells, natural killer cells and

343

macrophages are also known to produce IL17A (Cua and Tato, 2010; Jin and Dong, 2013). In

344

animal models of chlamydial infection, IL17A has been shown to aid Th1 immunity

345

development and neutrophil recruitment (Scurlock et al., 2011).

346 347

IL17 and IFNγ have been shown to have a synergistic effect on the up regulation of iNOS

348

and NO production (Zhang et al., 2012), however, they appear to have opposing functions

349

when it comes to neutrophil recruitment (Savarin et al., 2012). Similar to IFNγ, nevertheless,

350

IL17A has also been implicated in immunopathology, with evidence observed of increased

351

recruitment of inflammatory cells such as neutrophils and macrophages and increased

352

expression of matrix metaloproteinases at the site of infection (Andrew et al, 2013; O’Meara

353

et al., 2013b). While we have no direct ability to currently assess these inflammatory factors

354

in the koala, the relatively higher IL17A gene expression observed predominantly in animals

15

355

with active chlamydial disease, evidenced by suppurative exudation and inflammatory cells

356

in urine sediment, as opposed to inactive disease in Group II/Diseased animals (Table 3)

357

could be consistent with this “over-amplification” of the inflammatory response to the

358

presence of the infection, especially in light of the low expression of IFNγ and IL10 in these

359

animals.

360 361

Observations similar to our study have been reported by Jha et al. (2011) who showed greater

362

expression of IL17A in comparison to IFNγ in the cervical washes of women with C.

363

trachomatis cervicitis. Contrary observations have also been described (Barral et al., 2014)

364

which can be attributed to the differences in the study population; the former looked at cases

365

of cervicitis whereas the latter focused on asymptomatic infection. However, vaccination has

366

been reported to be less effective in the absence of IL17A in a mouse model of C. muridarum

367

genital tract infection (Andrew et al., 2013). Similarly, IFNγ/ IL17A double positive CD4+ T

368

cells correlated with improved protection against chlamydial infection in a vaccine study (Yu

369

et al., 2010). While clearly more studies are needed to determine the role of IL17A in

370

chlamydial disease pathology, our study does indicate an important role for IL17A gene

371

expression in chlamydial disease development in the koala.

372

Similar to our previous studies (Mathew et al., 2013a; Mathew et al., 2013b), a comparatively

373

strong expression of TNFα and IFNγ, normally associated with protection, was observed in

374

animals with current signs of chlamydiosis (Group II) and not in animals without any sign of

375

disease (Group I). This is not surprising as the very immune responses which are associated

376

with protection against members of the genus Chlamydia have also been implicated in

377

disease pathology (Loomis and Starnbach, 2002). To explain this phenomenon, it has been

378

hypothesized that the possibility of a persistent phase of chlamydial infection (Hogan et al.,

379

2004) and the biphasic life cycle of the organism provides avenues to escape the pro-

16

380

inflammatory immune response of the host and to set in motion a chain of intermittent Th1

381

and Th2 immune responses through the course of its developmental cycle, eventually leading

382

to the tissue damage and irreversible sequelae associated with chronic chlamydial disease as

383

observed in the Group II/Diseased animals in this study (Mascellino et al., 2011). However,

384

IL10, which has been noted to mitigate the damaging effects of the pro-inflammatory

385

response was at low expression in both the groups analysed in our koala study. This could be

386

due to fewer IL10 producing cells in the peripheral circulation as a low IL10 expression was

387

also noted following mitogen stimulation in all the studied animals.

388 389

Marked variations in cytokine response could also be observed in animals included in Group

390

I/No Disease and Group II/Diseased, as previously observed (Mathew et al., 2013a; Mathew

391

et al., 2013b), despite the increase in the cohort sizes in this study. Again, this is not

392

surprising as the koalas were likely to have been infected at variable points of time and could

393

essentially be at different stages of infection. While logistically challenging in naturally

394

infected wild animals, longitudinal studies involving assessment of koala infection and health

395

status will need to be undertaken to understand the exact role that these cytokines have on

396

infection and disease progression. Controlling for the fact that koalas are an outbred

397

population will be more challenging. In humans, genetic variability in the HLA class I and II

398

genes (Geisler et al., 2004) and IL10 promoter gene polymorphisms (Wang et al., 2005) have

399

been linked to increased susceptibility or protection against C. trachomatis infection.

400

Targeting island koala populations with lower genetic diversity (Lee et al., 2013) in future

401

studies can help control for the genetic variation observed in outbred koala populations;

402

thereby helping to understand its contribution to the variable immune response observed.

17

403

Beyond further studies to delineate the populations of immune cells in systemic circulation

404

that may be involved in the koala response to chlamydial infection, it will also be important

405

to understand local immune responses to this mucosal pathogen. It has been previously

406

demonstrated that significant variation exists in the in vitro immune response elicited by

407

PBMCs when compared to lymphocytes from the site of actual infection during C.

408

trachomatis infection (Vats et al., 2007).

409

infection will help in better understanding the immune response of koala chlamydial

410

infection. Future studies would also benefit from incorporation of age and sex matched

411

control animals without history of previous chlamydial infection; however obtaining

412

uninfected wild animals remains a major challenge. Another variable that will need to be

413

considered in these studies includes (a) the effect of anaesthetics, known to influence

414

cytokine expression pattern following in-vitro mitogen stimulation of lymphocytes in humans

415

(Schneemilch et al., 2004), or (b) physiological stress (Abraham, 1991), on koala cytokine

416

gene expression as little or nothing is known about either for this native species.

Hence, assays targeting the mucosal site of

417 418

This study has provided us with important baseline data that will assist in understanding

419

chlamydial disease pathogenesis and protection, a key consideration for the development of a

420

safe and effective chlamydial vaccine. The koala specific immunological tools developed in

421

this study for IL17A, alongside our previously described TNFα, IFNγ and IL10 assays, will

422

be critical for the subsequent work but may also eventually form a part of a immunological

423

“toolkit” (Maher et al., 2014; Morris et al., 2014) that could be available to stakeholders to

424

assess the health status and impact of chlamydial infections in affected koala populations.

425 426

18

427

Acknowledgements

428

We thank the veterinarians at the Endeavour Veterinary Ecology, (EVE) Toorbul, Australia

429

for helping with koala blood sample collection. This work was financially supported by an

430

ARC Linkage Grant awarded to PT, KB and AP and a Queensland Government NIRAP

431

Scheme Grant.

432 433 434

19

435

Table 1. qrtPCR primers for TNFα, IFNγ, IL17A, IL10 and GAPDH Gene

Forward Primer 5’-3’

Reverse Primer 5’-3’

Target

TNFα

GAGACGTAGAGCTAGCAG

TGCCAAGAAAATCTGTGGAC

180bp

IFNγ

AGCTACCTCTTAGCATCC

TCCTCTTTCCAA CGATCC

167bp

IL17A

GGAGTCTCAATGCCAAAGAGG

GACGGAGTTCACGTGGTGGT

282bp

IL10

TGGGCTCTTTAGGCGAGAAG

CAGGGCAGGAATCTGTGACA

72bp

GAPDH

GGACTCATGACCACAGT

CCATCACGCCACAGC

70bp

436 437 438 439 440 441 442 443

20

444

Table 2. PCR, Western Blot and cytokine gene results for animals included in the Group I/

445

No disease in this study.

446

16S qPCR LE RE UGT Mel G NEG NEG NEG Slocombe NEG POS POS Caz NEG NEG NEG Julia NEG POS POS Lexi NEG NEG NEG My POS POS NEG Cindy NEG NEG POS Nat NEG POS POS Sarah NEG NEG POS Kate G NEG POS POS Doddy POS POS POS Susan POS POS POS Cougar NEG NEG POS Karen NEG NEG POS Matt NEG NEG POS Lindsay NEG NEG POS Cate NEG NEG POS Bubbles NEG NEG POS Tash POS POS POS Gav POS POS POS Bev POS POS POS Salvatore NEG POS POS Frances POS POS POS Mark POS POS POS Daryl NEG NEG POS Robyn NEG NEG POS Mango NEG NEG POS Minky NEG NEG POS Coco NEG NEG POS LE - Left Eye, RE – Right Eye, Animal

Western Blot A F G TNFα NEG POS NEG 151 101.8 NEG NEG POS 4 0.9 NEG NEG POS 24.5 112.2 88 5.2 27.6 36.2 270.5 116.1 93.7 107.6 11.3 18.1 7.9 1.5 3.2 0.1 15.8 1.9 0.3 1.3 1.4 20.9 10.1 3.5 0.9 NEG- negative, POS- positive. A,

Fold increase IFNγ IL17A IL10 35.7 0.01 6.7 1.2 200.8 33.5 0.4 0.01 4.9 0.5 71.5 5.3 53.4 162 2.0 199.4 0.01 38.0 3.9 71 8.7 1.3 238.8 24.4 0.6 0.01 8.6 364.5 15.6 7.9 9.2 0.01 2.7 0.1 0.6 0.2 0.9 10.3 9.0 14.8 2.1 11.7 0.5 337.7 5.0 0.7 0.2 4.8 1.2 0.01 10.3 49.1 0.8 21.1 1.6 14.8 2.4 1.1 0.01 1.5 0.5 0.4 2.3 3.2 0.01 19.9 0.2 165.4 3.7 1.3 0.01 0.5 3.5 0.01 1.2 0.5 4.9 3.9 2.6 22.8 14 0.5 0.1 2.8 0.02 0.01 2.3 F and G are three C. pecorum

447

MOMP (Major Outer Membrane Protein) aminotypes described in eastern Australia by Kollipara

448

et al (2013). POS/NEG by 16S qPCR indicates the presence/absence of C. pecorum DNA at the

449

site. POS/NEG by western blot for A, F and G aminotypes indicates presence of specific

450

antibodies to these strains in the sera of the koala. ‘-’ sign indicates animals for which western

451

blot was not done when they were positive by 16SrRNA qPCR. The fold increase in gene

452

expression is calculated by 2-∆∆CT method as described in section 2.6.

453

21

454 455 456

Table 3. 16S qPCR and cytokine gene results for animals included in the Group II/ Diseased in this study. Animal

Disease

Curry Poma

Chronic active cystitis Chronic active cystitis Subclinical active cystitis Chronic active cystitis Chronic active cystitis Acute active cystitis Subclinical active cystitis Chronic active cystitis Chronic inactive cystitis Chronic inactive cystitis Sub-acute inactive cystitis Chronic active conjunctivitis

Mali Delores Circe Barry Harley KP Rambo Pinki Andrew Beauty

LE NEG NEG

16S qPCR RE UGT NEG POS NEG POS

TNFα 25.9 14.6

Fold increase IFNγ IL17A 1.2 153.2 0.0 286

IL10 32.6 2.3

NEG

NEG

POS

2.2

3.7

1.3

2.8

NEG NEG NEG

NEG NEG POS

POS POS POS

35.2 32.4 32

2.0 831.7 12.9

445.7 137.1 103.2

2.8 1.2 129.7

NEG

NEG

POS

8.8

33.1

63.1

0.5

NEG NEG NEG

NEG NEG NEG

POS POS POS

27 13.9 6.3

5.5 56.1 4.0

49.5 16.7 18.6

13.0 15.0 10.3

NEG

NEG

POS

5.9

6.6

4.1

1.2

NEG

POS

POS

45.2

1.0

1.9

16.7

457

22

458

Table 4. Geometric mean, median and range of the four cytokines quantified in the

459

Group I and Group II animals

Number of koalas

Group 1

Group 2

29

12

TNFα -

Geometric mean1

10.1

14.5

-

Median

11.3

14.7

-

Range

0.1 – 270.6

2.5 - 45.3

-

Geometric mean1

2.1

5.8

-

Median

1.3

4.8

-

Range

0.02 - 364.6

0.5 - 86.2

-

Geometric mean2

0.7

34.8

-

Median

0.6

56.3

-

Range

0.01 – 337.8

1.4 – 445.7

-

Geometric mean1

5

6.0

-

Median

5.04

6.6

-

Range

0.3 – 38.1

0.6 – 129.8

IFNγ

IL17

IL10

460 461

1

462

TNFα (p=0.57), IFNγ (p=0.08) and IL10 (p=0.87).

463

2

464

(p=0.009).

No statistically significant difference was observed for expression between Group I vs Group II for

Differences between the IL17 gene expression for Group vs Group II are statistically significant

23

465

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676

32

677

Highlights

678



679 680

IL17A cytokine •

681 682 683

IL17A qrtPCR developed to provide the first functional analysis of a marsupial

Koalas with chlamydial disease had significantly higher IL17A gene expression compared to asymptomatically infected animals



Koalas with history of chlamydial disease had higher pro-inflammatory cytokine gene expression compared to healthy koalas

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Interleukin 17A is an immune marker for chlamydial ... -

572 koala lymphocytes (Phascolarctos cinereus) by qRT-PCR. PeerJ. 573 http://dx.doi:10.7717/peerj.280. 574. 575. Mascellino, M.T., Boccia, P., Oliva, A., 2011. Immunopathogenesis in Chlamydia. 576 trachomatis infected women. ISRN Obst. Gynec. http://dx.doi:10.5402/2011/436936. 577. 578. Mathew, M., Beagley, K.W., ...

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