Toll-like receptors (TLRs) play a crucial role in the early defence against invading pathogens, yet our understanding of TLRs in marsupial immunity is limited. Here, we describe the characterisation of nine TLRs from a koala immune tissue transcriptome and one TLR from a draft sequence of the koala genome and the subsequent development of an assay to study genetic diversity in these genes. We surveyed genetic diversity in 20 koalas from New South Wales, Australia and showed that one gene, TLR10 is monomorphic, while the other nine TLR genes have between two and 12 alleles. 40 SNPs (16 non-synonymous) were identified across the ten TLR genes. These markers provide a springboard to future studies on innate immunity in the koala, a species under threat from two major infectious diseases.
Citation: Cui J, Frankham GJ, Johnson RN, Polkinghorne A, Timms P, O’Meally D, et al. (2015) SNP Marker Discovery in Koala TLR Genes. PLoS ONE 10(3): e0121068. https://doi.org/10.1371/journal.pone.0121068
Academic Editor: Michelle L. Baker, CSIRO, AUSTRALIA
Received: October 27, 2014; Accepted: January 27, 2015; Published: March 23, 2015
Copyright: © 2015 Cui et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: Relevant data are within the paper and its Supporting Information files.
Funding: KB is supported by an ARC Future Fellowship (FT0992212). This work was partially supported by an ARC Linkage Grant (LP120200051) awarded to PT and AP and funding from the University of Sydney to KB. The authors thank Bioplatforms Australia for financial support. The Australian Museum mitochondrial work was supported by a grant from the NSW Foundation for National Parks and Wildlife. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The koala (Phascolarctos cinereus) is an arboreal herbivorous marsupial which was widespread across eastern Australia until the end of the 19th century, when populations have suffered declines due to the fur trade, habitat degradation and disease . The koala is distributed from Queensland, New South Wales (NSW) and Victoria and translocated to islands off the south coast of Australia and to South Australia . The Queensland, NSW and Australian Capital Territory populations are listed as “vulnerable” under the federal government Environmental Protection and Biodiversity Conservation Act 1999. Genetic diversity in koalas is extremely low on the introduced islands and in Southern Australia due to founder effects . Levels of diversity are higher in NSW and Queensland . North-eastern koalas have twice as much diversity as south-eastern koalas (A = 11.5+/−1.4 vs A = 5.3+/−1), and microsatellite variability is comparable to that seen in other wild species [3,4]. Thirty-one mitochondrial haplotypes from the hypervariable Control Region (D-loop), have been characterized across the Australian east coast distribution [5,6], including 9 novel haplotypes recently characterized from NSW (unpublished data, Australian Museum). Mitochondrial DNA haplotype diversity within south-eastern Queensland and north-eastern NSW populations was much higher than that in Victoria and South Australian island populations, which contained only a single mitochondrial haplotype . Diversity in key immune genes belonging to the Major Histocompatibility Complex (MHC) in NSW and Queensland koalas is also robust , and is on par with that of New Zealand brushtail possums (Trichosurus vulpecula) [7,8].
Many koala populations are currently threatened by habitat loss and vehicular injuries  as well as infections by koala retrovirus (KoRV), which is associated with immune suppression and lymphoma and leukemia  and by Chlamydia pecorum and C. pneumoniae , obligate intracellular bacterial pathogens that cause debilitating ocular and reproductive tract disease . In wild populations, chlamydial infection rates range from 20% to 100% . However, depending on the populations, the level of clinical disease in association with infection has been noted to vary. This anecdotal evidence supported by studies monitoring C. pecorum shedding in individual koalas with and without clinical disease , would suggest that infection alone is not the primary determinant of chlamydial disease development in this host. Indeed, while studies continue to emerge that key genetic differences may exist in the infecting chlamydial strain in koalas  studies in other hosts suggest that the host’s immune response is key to the eventual outcome of the infection . KoRV, on the other hand, is in the process of endogenising into the koala’s genome. While the direct relationship of KoRV to diseases such as leukemia and lymphoma are yet to be proven, it is widely assumed that the integration of KoRV sequences into the koala genome has affected the koala’s immune responsiveness to KoRV and potentially chlamydial infections .
Toll-like receptors (TLRs), encoded by a range of TLR genes, are key components of the innate immune response. TLRs are the first receptors to interact with invading microorganisms by recognising pathogen-associated molecular patterns (PAMPs) on a wide spectrum of pathogens . TLRs are encoded by a large gene family, with 10 TLR homologs (TLR1–10) characterised in human (Homo sapiens; TLR1–10), cow (Bos taurus) and pig (Sus domesticus), 12 in house mouse (Mus musculus) [16–18] and 10 in gray short-tailed opossum (Monodelphis domestica)  and Tasmanian devil (Sarcophilus harrisii) . The TLR molecules contain three domains; a large extracellular domain consisting of 18–30 Leucine-Rich Repeats (LRRs), a transmembrane domain and an intracellular Toll/interleukin I (TIR) domain. The extracellular domain forms a horseshoe shape, and it can recognize bacteria, fungi, parasites and viruses. TLRs can be sub-divided based on their functional roles into viral and non-viral. Viral TLRs are expressed in the cell, and include TLR3, TLR7, TLR8 and TLR9. They can recognize dsRNA and DNA viruses (TLR3) , ssRNA (TLR7 and TLR8)  and unmethylated CpG-containing DNA, which is commonly found in the genomes of DNA viruses (TLR9) . Non-viral TLRs are expressed on cell surface and can respond to lipopeptide from bacteria and parasites (TLR1, TLR2, TLR6 and TLR10) [24,25], lipopolysaccharides (LPS) from Gram-negative bacteria (TLR4) , flagellins (TLR5)  and bacterial 23S ribosomal RNA (TLR13) . Although most immunological studies have been limited to mouse models, there is strong evidence to suggest that TLR2 and/or TLR4 activation and signaling has a strong influence on the clearance of the development of immunopathological sequelae as a result of chlamydial infection . Interestingly, recent studies in humans have revealed that genetic Variants in the TLR1 and TLR4 genes may increase inflammation and are associated with risk of chlamydial infection and development of pelvic inflammatory disease , raising questions over whether genetic variation at these loci may serve as a biomarker of chlamydial infection and disease in other species as well.
Genomics technologies have facilitated rapid elucidation of the basic architecture of the koala’s immune system. Recent studies have described the characterisation of MHC class I and II [7,8,30], interleukins [31–33], interferon gamma, T cell markers and other immune genes . In an effort to provide more tools to understand the role of TLRs in the koala response to infectious diseases, in the current study, we describe nine TLR-encoding genes in the koala and the development of a series of molecular markers that may be applied to study TLR genetic diversity in koala populations with different chlamydial infection outcomes.
Material and Methods
Koala transcriptome dataset
The koala transcriptome dataset consists of four cDNA libraries which were established from immune related tissues including liver, lymph node, spleen and bone marrow . All tissues are from a single male koala obtained from the Australia Zoo Wildlife Hospital. All cDNA libraries were deposited in the Sequence Read Archive at NCBI  with the accession number SRR1106690, SRR1106707, SRR1121764, SRR1122141 for bone marrow, lymph node, liver and spleen libraries, respectively. The koala genome is published as a marker paper  and was made available to us for this project.
Nine koala TLR genes were identified by searching all 4 koala cDNA libraries  using BLAST with human (Homo sapiens) and mouse (Mus musculus) TLR coding sequences. Koala TLR13 was obtained by searching the draft koala genome using BLAST using a Tasmanian devil (Sarcophilus harrisii) TLR13 nucleotide coding sequence . Phylogenetic relationships between koala TLR genes and their homologs in eight other species, including three eutherians, human, cow and mouse, and two marsupial species, gray short-tailed opossum and Tasmanian devil , one bird species (chicken, Gallus gallus), one amphibian (western clawed frog, Xenopus tropicalis) and one fish species (zebrafish, Danio rerio) were analysed in MEGA 5  using the Neighbour joining method  with 1000 bootstrap replicates to infer the level of confidence on the phylogeny. GenBank and Ensembl accession numbers of sequences are listed in S1 Table.
Analysis of TLR diversity in 20 wild koalas
Genetically diverse koalas were selected in an attempt to maximize the TLR gene diversity discovered in this study. Control Region mitochondrial diversity was used as a proxy measure to choose 20 genetically diverse animals, representing six koala mitochondrial DNA (mtDNA) Control Region haplotypes (Australian Museum, unpublished data). These koalas were all from New South Wales ranging from Narrandera (southern NSW) to Kyogle (northern NSW). Koala samples were either collected by the Port Macquarie Koala Hospital when animals were brought in for veterinary care or from the Australian Museum Tissue Collection. Australian Museum registration numbers are provided in S2 Table. For mtDNA PCR protocols and conditions see Frankham et al 2014 .
Gene specific primers (Table 1) were designed using Oligo6 . Primers for TLR2, TLR5, TLR6, TLR7, TLR8, TLR9 and TLR13 were designed at both ends of the coding region, amplifying the LRRs, transmembrane and cytoplasmic domains since the coding sequences of these genes are encoded within a single exon. The target fragments of TLR3, TLR4 and TLR10 contain partial LRR region and partial cytoplasmic region and include the peptide-binding region for each gene. The coding sequences of these three genes have multiple exons. PCR amplifications were carried out in a Bio-Rad MJ Mini Personal Thermal Cycler in 25μl reactions containing 1× high-fidelity buffer (Invitrogen, Mulgrave, Australia) that consists of 60 mM Tris-HCl (pH8.9) and 18 mM (NH4)2SO4, 0.2 mM each dNTP, 2.0 mM MgSO4, 0.5 uM each forward and reverse primers, 1.5U of Platinum Taq DNA Polymerase High Fidelity (Invitrogen, Mulgrave, Australia) and approximately 30 ng template DNA. The general cycle conditions were initial denaturation at 94°C for 2 min, followed by 35 cycles of 30 s denaturation at 94°C, 30 s annealing at 55–66°C (Table 1), and 1–3 min extension at 68°C and a final extension at 68°C for 10 min. A negative control without DNA was included in all PCR reactions. PCR products were isolated on a 1.2% agarose gel, using EasyLadder I (Bioline, Alexandria, Australia) as a size marker, and purified with QIAEX II Gel Extraction Kit (QIAGEN, Chadstone Centre, Australia). PCR products were inserted into pGEM-T Easy Vector System I (Promega, Alexandria, Australia), and then transformed into JM109 High-Efficiency Competent Cells (Promega, Alexandria, Australia). Eight positive clones were picked for each PCR sample to make sure we captured both alleles from each locus within each individual. The plasmids were extracted using DirectPrep 96 MiniPrep Kit (QIAGEN, Chadstone Centre, Australia) and sequenced with T7 forward and SP6 reverse primers at Australian Genome Research Facility (AGRF, Westmead, Australia).
Sequences were quality-checked with Sequencher 4.9 and aligned in BioEdit v7.2.3 . To minimise sequence artefacts from PCR, cloning and sequencing, a sequence variant was considered a real TLR allele when identified in multiple PCR amplifications from each individual.
The overall rate of synonymous substitution per synonymous site (dS) and non-synonymous substitutions per non-synonymous sits (dN) in each gene were conducted using the Nei-Gojobori method with Jukes-Cantor adjustment in MEGA 5 . Codon-based Z-tests of selection were performed with 5000 bootstrap replications to generate the standard error.
Result and Discussion
We identified nine koala TLRs with clear eutherian orthologs (TLR2, TLR3, TLR4, TLR5, TLR7, TLR8, TLR9, TLR10 and TLR13). The evolutionary relationships of these genes are depicted in Fig. 1, and resemble those previously described by Roach et al. 2005. TLRs are present across a wide range of taxonomic groups, including insects [42,43], fish [44,45], amphibian , birds [47,48] and mammals [16,49]. TLRs from each family have similar functions across species [50,51]. The koala TLR genes shared on average 64% amino acid identify to their human counterparts, with TLR3 and TLR7 the highest at 73%, and TLR4 the lowest at 53%. The transcripts described here contained complete coding sequences, and ranged in length from 2350 (TLR2) to 3141bp (TLR7), similar to the human TLRs, which ranged from 2352 (TLR2) to 3147bp (TLR7). The primers we designed to study diversity amplified between 1502 and 3065bp (details provided in Table 1).
Ten TLR amino acid sequences of the koala compared to TLRs in eight species, including three eutherians (human, cattle and house mouse), two marsupials (Tasmanian devil and gray short-tailed opossum), chicken, Xenopus and zebrafish. The bootstrap values are displayed at each branch point.
Based on the well characterized human TLR sequences, the koala TLR genes contained all of the key functionally conserved residues in the extracellular domain  S2–S11 Figs. The leucine-rich motif in each LRR was conserved. Residues 1–10 in every LRR motif were present in all LRRs and are predicted to form a β-strand within each LRR. The residues which follow residue 10 are variable among TLRs, and this variability is usually associated with pathogen binding S12–S21 Figs. [25,52–56].
The phylogenetic tree shown in Fig. 1 highlights that vertebrate TLRs can be divided into six subfamilies which include the TLR1 family (including TLR1, TLR6, TLR10 and TLR2), TLR3, TLR4, TLR5, the TLR7 family (including TLR7, TLR8 and TLR9) and the TLR11 family (including TLR11–22). All vertebrate species appear to have at least one copy of a gene from each subfamily. As expected, the koala TLR2, TLR3, TLR4, TLR5, TLR7, TLR8 TLR9 TLR10 and TLR13 each had a single clear ortholog in the other marsupial and eutherian species, so we were able to annotate koala TLRs confidently. The koala sequences have been deposited to GenBank and have been assigned the GenBank accession numbers, S3 Table. A single gene, which we designate TLR1/6-like due to its location at the base of the eutherian TLR1 and TLR6 clades (Fig. 1) was also found in the transcriptome assembly. This gene, while not reported in humans or other eutherians, has been found in opossum  and the Tasmanian devil  and its emergence appears to predate the duplication of TLR1 and TLR6 in eutherians . It shares 58.5% amino acid identity with human TLR1 and 60.2% amino acid identify with human TLR6.
The phylogenetic tree allows us to speculate about the evolutionary history of the TLR1 gene family. A single TLR1-like gene and a single TLR2 gene are seen in zebrafish and Xenopus . The chicken genome contains two copies of TLR1, which duplicated relatively recently, as depicted by the short branch lengths, as well as two copies of TLR2 genes. It does not contain TLR10. It appears that the ancestral avian TLR1, duplicated to give rise to TLR10 and TLR1/6-like in mammals. TLR1/6-like is located adjacent to TLR10 in the koala, Tasmanian devil and opossum genomes and is found in present day marsupials. TLR1/6-like then went on to duplicate to give rise to the TLR1 and TLR6 families, which are seen in present day eutherians. The mammals all retained TLR10 and TLR2.
The TLR genes evolve independently in different lineages in response to species-specific pathogens . Genes in the TLR1 subfamily form homo or heterodimers with each other and with TLR2, indicating redundancy in pathogen recognition. For instance, the human TLR2/TLR1 heterodimer responds to microbial triacyl lipoproteins , and TLR2/TLR6 responds to diacyl lipopeptides , however, mutation of the F343 and F365 residues in TLR6 allows the TLR2/TLR6 heterodimer to respond to triacyl lipopeptides . Similarly, heterodimers of human TLR1/TLR2 and TLR2/TLR10 can recognize the same pathogens . On the other hand, in chickens, heterodimers of any TLR1/TLR2 combination can respond to diacyl and triacyl lipopeptides . We therefore predict that marsupial TLR1/6-like will also be able to form homo and heterodimers with other members of the TLR1 family and respond to diacyl and triacyl lipopeptides.
Genetic polymorphisms were detected in all koala TLR genes, except TLR10. In the nine polymorphic genes, the number of alleles per gene ranged from 2–12, and the number of SNPs per gene between 1–8 (Table 2). In this study, TLR4 showed the highest level of genetic variability, with 12 alleles containing 8 SNPs. It is also the most polymorphic TLR in humans, cattle, pigs and robins [62–65]. A total of 40 SNPs were identified across all loci, all of which were biallelic and 16 were non-synonymous (Table 2). 13 of the non-synonymous SNPs were located in the extracellular domain, while the others in the intracellular domain. For each individual we have provided a summary of TLR genotypes and mitochondrial genotypes in S4 Table.
The level of TLR diversity that was observed in koalas in this study is comparable to that observed in other species (Table 3). For instance, 73 alleles have been identified at TLR5 in 158 humans from Africa, Europe and East-Asia . A study on 259 pigs from six populations identified 16 SNPs within the TLR4 exon 3. To make our comparison more relevant, we have compared the koala results with those 56 outbred pigs, rather than incorporating inbred populations . Grueber et al. 2012 studied a bottlenecked population of 24 New Zealand Robins from an isolated island population, and observed a range of 1–5 alleles within all TLRs coding sequences  (Table 3). The koala samples used here were selected to maximize genetic diversity, but it is important to note that additional alleles are likely to be found if more samples were analysed, particularly if samples from additional geographic regions were analysed.
By comparing rates of synonymous (dS) and non-synonymous (dN) substitutions  we found that dS is higher than dN in all nine koala TLR genes characterized here. No non-synonymous substitutions were observed in TLR2 and TLR1/6-like (Table 2). The absence of non-synonymous mutations may be the result of selective pressures . Purifying selection appears to be acting on TLR2 and TLR4 (Table 4) and it is tempting to speculate that mutations in the pathogen-binding region of extracellular domain in these genes may adversely affect fitness. In future it will be interesting to investigate whether there is an association between these genes and response to disease. Polymorphisms at human TLR2 and TLR4 have been found to be associated with the inflammation and increased disease susceptibility. For instance, SNPs Arg753Gln and Arg677Trp at TLR2 contribute to the course of sepsis  and D299G and T399I at TLR4 are associated with infections caused by Leginoella pneumophila .
Given the locations that these koalas were sampled from, it is likely that all of the koalas tested in this study were KoRV positive based on previous observations that koalas in north-eastern NSW were 100% KoRV-positive . Nothing is known about the chlamydial infection status of the animals sampled in this preliminary study, limiting any further commentary on the association between TLR variants and koala disease. While this is an unfortunate limitation, future studies utilising the TLR molecular markers described here alongside the general availability of tissue samples from Chlamydia-free, natural Chlamydia-infected but clinically healthy koalas and koalas that have developed severe Chlamydia-related ocular or reproductive tract pathology means that koala researchers will now be in a strong position to investigate whether TLRs have an impact on koala chlamydial disease pathogenesis. To this end, work in naturally infected women has already provided the first suggestions that TLR sequence variation may be associated with increased risk of infection and inflammatory disease , but such studies have been generally limited by sample size. With the recent availability of genetic resources for the koala , expanded koala studies such as those proposed may provide new insights into host genetic susceptibility more generally while also providing stakeholders with important management information that can be used to deploy conservation tools such as a prototype koala chlamydial vaccine .
S1 Fig. Mitochondrial Haplotypes.
Haplotype network showing stepwise sequence divergence, for koala samples from NSW used in this study. Each step depicts a nucleotide difference between haplotypes. H12, 18 and H5 previously reported by , and Q1 previously reported by . 1, 2, 3, 6, 8 all novel haplotypes previously unreported.
S2 Fig. Koala TLR2 Nucleotide and Amino acid sequences.
Boxes and arrows means the locations of primers (→: forward primer, ←: reverse primer). Vertical lines show the boundaries of Leucine-Rich Repeats, transmembrane and cytoplasmic region.
S3 Fig. Koala TLR3 Nucleotide and Amino acid sequences.
S4 Fig. Koala TLR4 Nucleotide and Amino acid sequences.
S5 Fig. Koala TLR5 Nucleotide and Amino acid sequences.
S6 Fig. Koala TLR1/6like Nucleotide and Amino acid sequences.
S7 Fig. Koala TLR7 Nucleotide and Amino acid sequences.
S8 Fig. Koala TLR8 Nucleotide and Amino acid sequences.
S9 Fig. Koala TLR9 Nucleotide and Amino acid sequences.
S10 Fig. Koala TLR10 Nucleotide and Amino acid sequences.
S11 Fig. Koala TLR13 Nucleotide and Amino acid sequences.
S12 Fig. Amino acid alignment at TLR2.
Amino acid alignment of coding sequences of TLR2 in koala, Tasmanian devil, gray short-tailed opossum, house mouse, cattle and human. Dashes in the sequences represent gaps. Dots represent conservation of amino acids with the koala sequence. The ruler has been adjusted according to the koala TLR sequence. The LRR motifs are in green and are marked above with the consensus pattern: LxxLxLxxNxL according to human TLRs (“L” is Leu, Ile, Val, or Phe. “N” is Asn, Thr, Ser, or Cys. “x” represent residue.) . The positions of the β-strand are shown as arrows above the sequences . The stars above the residues indicate predicted pathogen binding positions in human .
S13 Fig. Amino acid alignment at TLR3.
The stars above the residues are predicted pathogen binding positions in human TLR3 . The predicted pathogen binding positions are in box according to human TLR3 . The “^” above the residues indicate sites of non-synonymous substitutions.
S14 Fig. Amino acid alignment at TLR4.
The predicted pathogen binding positions are in box according to human TLR4 .
S15 Fig. Amino acid alignment at TLR5.
The predicted pathogen binding positions are in box according to human TLR5 .
S16 Fig. Amino acid alignment at TLR1/6like.
The predicted pathogen binding positions are in box according to human TLR6 .
S17 Fig. Amino acid alignment at TLR7.
The predicted pathogen binding positions are in box according to human TLR7 .
S18 Fig. Amino acid alignment at TLR8.
The predicted pathogen binding positions are in box according to human TLR8 .
S19 Fig. Amino acid alignment at TLR9.
The predicted pathogen binding positions are in box according to human TLR9 .
S20 Fig. Amino acid alignment at TLR10.
The predicted pathogen binding positions are in box according to human TLR10 .
S1 Table. Accession numbers of Toll-like receptor sequences used in this study.
Amino acid sequence accession numbers were all obtained from GenBank, except Xenopus tropicalis TLR9 that was from Ensemble.
S2 Table. Australian Museum registration numbers of investigated koalas.
S3 Table. GenBank accession number of koala TLRs.
We thank the Port Macquarie Koala Hospital and the Australian Museum Tissue Collection for providing tissue samples. Andrew King and Matthew Hobbs from Australian Centre for Wildlife Genomics at the Australian Museum and Zhiliang Chen from the University of New South Wales participated in the generation of the transcriptome and genome data and kindly shared it with us prior to publication.
Conceived and designed the experiments: KB. Performed the experiments: JC GF. Analyzed the data: JC GF DOM YC. Contributed reagents/materials/analysis tools: GF RJ AP PT. Wrote the paper: JC GF RJ AP PT DOM YC KB.
- 1. Melzer A, Carrick F, Menkhorst P, Lunney D, John BS. Overview, critical assessment, and conservation implications of koala distribution and abundance. Conserv Biol. 2000; 14: 619–628.
- 2. Lee AK, Martin RW The koala: a natural history: New South Wales University Press Kensington. 1988
- 3. Houlden B, England P, Taylor A, Greville W, Sherwin W. Low genetic variability of the koala Phascolarctos cinereus in south-eastern Australia following a severe population bottleneck. Mol Ecol. 1996; 5: 269–281. pmid:8673272
- 4. Lee KE, Seddon JM, Corley SW, Ellis WA, Johnston SD, de Villiers DL, et al. Genetic variation and structuring in the threatened koala populations of Southeast Queensland. Conserv Genet. 2010; 11: 2091–2103.
- 5. Houlden BA, Costello BH, Sharkey D, Fowler EV, Melzer A, Ellis W, et al. Phylogeographic differentiation in the mitochondrial control region in the koala, Phascolarctos cinereus (Goldfuss 1817). Mol Ecol. 1999; 8: 999–1011. pmid:10434420
- 6. Fowler E, Houlden B, Hoeben P, Timms P. Genetic diversity and gene flow among southeastern Queensland koalas (Phascolarctos cinereus). Mol Ecol. 2000; 9: 155–164. pmid:10672159
- 7. Jobbins SE, Sanderson CE, Griffith JE, Krockenberger MB, Belov K, Higgins DP. Diversity of MHC class II DAB1 in the koala (Phascolarctos cinereus). Aust J Zool. 2012; 60: 1–9.
- 8. Lau Q, Jobbins SE, Belov K, Higgins DP. Characterisation of four major histocompatibility complex class II genes of the koala (Phascolarctos cinereus). Immunogenetics. 2013; 65: 37–46. pmid:23089959
- 9. Tarlinton RE, Meers J, Young PR. Retroviral invasion of the koala genome. Nature. 2006; 442: 79–81. pmid:16823453
- 10. Mehta SD, Moses S, Agot K, Parker C, Ndinya-Achola JO, Maclean I, et al. Adult male circumcision does not reduce the risk of incident Neisseria gonorrhoeae, Chlamydia trachomatis, or Trichomonas vaginalis infection: results from a randomized, controlled trial in Kenya. J Infect Dis. 2009; 200: 370–378. pmid:19545209
- 11. Polkinghorne A, Hanger J, Timms P. Recent advances in understanding the biology, epidemiology and control of chlamydial infections in koalas. Vet Microbiol. 2013; 165: 214–223. pmid:23523170
- 12. Wan C, Loader J, Hanger J, Beagley K, Timms P, Polkinghorne A. Using quantitative polymerase chain reaction to correlate Chlamydia pecorum infectious load with ocular, urinary and reproductive tract disease in the koala (Phascolarctos cinereus). Aust Vet J. 2011; 89: 409–412. pmid:21933169
- 13. Bachmann NL, Polkinghorne A, Timms P. Chlamydia genomics: providing novel insights into chlamydial biology. Trends Microbiol. 2014.
- 14. Darville T, Hiltke TJ. Pathogenesis of genital tract disease due to Chlamydia trachomatis. J Infect Dis. 2010; 201: S114–S125. pmid:20524234
- 15. Denner J, Young PR. Koala retroviruses: characterization and impact on the life of koalas. Retrovirology. 2013; 10: 108.101–108.107.
- 16. Akira S, Takeda K, Kaisho T. Toll-like receptors: critical proteins linking innate and acquired immunity. Nat Immunol. 2001; 2: 675–680. pmid:11477402
- 17. McGuire K, Jones M, Werling D, Williams J, Glass E, Jann O. Radiation hybrid mapping of all 10 characterized bovine Toll-like receptors. Anim Genet. 2006; 37: 47–50. pmid:16441295
- 18. Werling D, Coffey TJ. Pattern recognition receptors in companion and farm animals–The key to unlocking the door to animal disease? Vet J. 2007; 174: 240–251. pmid:17137812
- 19. Roach JC, Glusman G, Rowen L, Kaur A, Purcell MK, Smith KD, et al. The evolution of vertebrate Toll-like receptors. P Natl Acad Sci USA. 2005; 102: 9577–9582. pmid:15976025
- 20. Cui J, Cheng Y, Belov K. Diversity in the Toll-like receptor genes of the Tasmanian devil (Sarcophilus harrisii). Immunogenetics. 2015: 1–7.
- 21. Alexopoulou L, Holt AC, Medzhitov R, Flavell RA. Recognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3. Nature. 2001; 413: 732–738. pmid:11607032
- 22. Heil F, Hemmi H, Hochrein H, Ampenberger F, Kirschning C, Akira S, et al. Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8. Science. 2004; 303: 1526–1529. pmid:14976262
- 23. McCartney SA, Colonna M. Viral sensors: diversity in pathogen recognition. Immunol Rev. 2009; 227: 87–94. pmid:19120478
- 24. Campos MA, Almeida IC, Takeuchi O, Akira S, Valente EP, Procópio DO, et al. Activation of Toll-like receptor-2 by glycosylphosphatidylinositol anchors from a protozoan parasite. J Immunol. 2001; 167: 416–423. pmid:11418678
- 25. Bell JK, Mullen GE, Leifer CA, Mazzoni A, Davies DR, Segal DM. Leucine-rich repeats and pathogen recognition in Toll-like receptors. Trends Immunol. 2003; 24: 528–533. pmid:14552836
- 26. Poltorak A, He X, Smirnova I, Liu M-Y, Van Huffel C, Du X, et al. Defective LPS signaling in C3H/HeJ and C57BL/10ScCr mice: mutations in Tlr4 gene. Science. 1998; 282: 2085–2088. pmid:9851930
- 27. Oldenburg M, Krüger A, Ferstl R, Kaufmann A, Nees G, Sigmund A, et al. TLR13 Recognizes Bacterial 23S rRNA Devoid of Erythromycin Resistance–Forming Modification. Science. 2012; 337: 1111–1115. pmid:22821982
- 28. Yang X, Joyee A. Role of toll-like receptors in immune responses to chlamydial infections. Curr Pharm Design. 2008; 14: 593–600. pmid:18336303
- 29. Taylor BD, Darville T, Ferrell RE, Kammerer CM, Ness RB, Haggerty CL. Variants in toll-like receptor 1 and 4 genes are associated with Chlamydia trachomatis among women with pelvic inflammatory disease. J Infect Dis. 2012; 205: 603–609. pmid:22238472
- 30. Houlden BA, Greville WD, Sherwin WB. Evolution of MHC class I loci in marsupials: characterization of sequences from koala (Phascolarctos cinereus). Mol Biol Evol. 1996; 13: 1119–1127. pmid:8865665
- 31. Morris K, Prentis PJ, O'Meally D, Pavasovic A, Brown AT, Timms P, et al. The koala immunological toolkit: sequence identification and comparison of key markers of the koala (Phascolarctos cinereus) immune response. Aust J Zool. 2014.
- 32. Mathew M, Beagley KW, Timms P, Polkinghorne A. Preliminary characterisation of tumor necrosis factor alpha and interleukin-10 responses to Chlamydia pecorum infection in the koala (Phascolarctos cinereus). Plos one. 2013; 8: e59958. pmid:23527290
- 33. Mathew M, Waugh C, Beagley KW, Timms P, Polkinghorne A. Interleukin 17A is an immune marker for chlamydial disease severity and pathogenesis in the koala (Phascolarctos cinereus). Dev Comp Immunol. 2014; 46: 423–429. pmid:24915607
- 34. Maher IE, Griffith JE, Lau Q, Reeves T, Higgins DP. Expression profiles of the immune genes CD4, CD8β, IFNγ, IL-4, IL-6 and IL-10 in mitogen-stimulated koala lymphocytes (Phascolarctos cinereus) by qRT-PCR. PeerJ. 2014; 2: e280. pmid:24688858
- 35. Mathew M, Pavasovic A, Prentis PJ, Beagley KW, Timms P, Polkinghorne A. Molecular characterisation and expression analysis of Interferon gamma in response to natural Chlamydia infection in the koala, Phascolarctos cinereus. Gene. 2013; 527: 570–577. pmid:23792018
- 36. Johnson RN, Hobbs M, Eldridge MDB, King AG, Colgan DJ, Wilkins MR, et al. The Koala Genome Consortium. Tech. Rep. Aust. Mus., Online. 2014: No. 24, pp.91–92.
- 37. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011; 28: 2731–2739. pmid:21546353
- 38. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987; 4: 406–425. pmid:3447015
- 39. Frankham GJ, Handasyde KA, Norton M, Murray A, Eldridge MD. Molecular detection of intra-population structure in a threatened potoroid, Potorous tridactylus: conservation management and sampling implications. Conserv Genet. 2014; 15: 547–560.
- 40. Zhang X-y, Gao Y-n. To design PCR primers with Oligo 6 and Primer Premier 5 [J]. Bioinformatiocs. 2004; 4: 003.
- 41. Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT; 1999. pp. 95–98.
- 42. Medzhitov R, Janeway C Jr. The Toll receptor family and microbial recognition. Trends Microbiol. 2000; 8: 452–456. pmid:11044679
- 43. Kopp EB, Medzhitov R. The Toll-receptor family and control of innate immunity. Curr Opin Immunol. 1999; 11: 13–18. pmid:10047546
- 44. Purcell MK, Smith KD, Aderem A, Hood L, Winton JR, Roach JC. Conservation of Toll-like receptor signaling pathways in teleost fish. Comparative Biochemistry and Physiology Part D: Genomics and Proteomics. 2006; 1: 77–88. pmid:17330145
- 45. Meijer AH, Gabby Krens S, Medina Rodriguez IA, He S, Bitter W, Ewa Snaar-Jagalska B, et al. Expression analysis of the Toll-like receptor and TIR domain adaptor families of zebrafish. Mol Immunol. 2004; 40: 773–783. pmid:14687934
- 46. Ishii A, Kawasaki M, Matsumoto M, Tochinai S, Seya T. Phylogenetic and expression analysis of amphibian Xenopus Toll-like receptors. Immunogenetics. 2007; 59: 281–293. pmid:17265063
- 47. Temperley ND, Berlin S, Paton IR, Griffin DK, Burt DW. Evolution of the chicken Toll-like receptor gene family: a story of gene gain and gene loss. BMC genomics. 2008; 9: 62. pmid:18241342
- 48. Iqbal M, Philbin VJ, Smith AL. Expression patterns of chicken Toll-like receptor mRNA in tissues, immune cell subsets and cell lines. Vet Immunol Immunop. 2005; 104: 117–127. pmid:15661337
- 49. Akira S. Mammalian Toll-like receptors. Curr Opin Immunol. 2003; 15: 5–11. pmid:12495726
- 50. Kaisho T, Akira S. Toll-like receptor function and signaling. J Allergy Clin Immun. 2006; 117: 979–987. pmid:16675322
- 51. Akira S, Takeda K. Toll-like receptor signalling. Nat Rev Immunol. 2004; 4: 499–511. pmid:15229469
- 52. Matsushima N, Tanaka T, Enkhbayar P, Mikami T, Taga M, Yamada K, et al. Comparative sequence analysis of leucine-rich repeats (LRRs) within vertebrate toll-like receptors. BMC genomics. 2007; 8: 124. pmid:17517123
- 53. Bell JK, Askins J, Hall PR, Davies DR, Segal DM. The dsRNA binding site of human Toll-like receptor 3. P Natl A Sci. 2006; 103: 8792–8797. pmid:16720699
- 54. Bell JK, Botos I, Hall PR, Askins J, Shiloach J, Segal DM, et al. The molecular structure of the Toll-like receptor 3 ligand-binding domain. P Natl Acad Sci USA. 2005; 102: 10976–10980. pmid:16043704
- 55. Hajjar AM, Ernst RK, Tsai JH, Wilson CB, Miller SI. Human Toll-like receptor 4 recognizes host-specific LPS modifications. Nat Immunol. 2002; 3: 354–359. pmid:11912497
- 56. Mizel SB, West AP, Hantgan RR. Identification of a sequence in human toll-like receptor 5 required for the binding of Gram-negative flagellin. J Biol Chem. 2003; 278: 23624–23629. pmid:12711596
- 57. Huang Y, Temperley ND, Ren L, Smith J, Li N, Burt DW. Molecular evolution of the vertebrate TLR1 gene family-a complex history of gene duplication, gene conversion, positive selection and co-evolution. BMC Evol Biol. 2011; 11: 149. pmid:21619680
- 58. Jin MS, Kim SE, Heo JY, Lee ME, Kim HM, Paik S-G, et al. Crystal structure of the TLR1-TLR2 heterodimer induced by binding of a tri-acylated lipopeptide. Cell. 2007; 130: 1071–1082. pmid:17889651
- 59. Kang JY, Nan X, Jin MS, Youn S-J, Ryu YH, Mah S, et al. Recognition of lipopeptide patterns by Toll-like receptor 2-Toll-like receptor 6 heterodimer. Immunity. 2009; 31: 873–884. pmid:19931471
- 60. Guan Y, Ranoa DRE, Jiang S, Mutha SK, Li X, Baudry J, et al. Human TLRs 10 and 1 share common mechanisms of innate immune sensing but not signaling. J Immunol. 2010; 184: 5094–5103. pmid:20348427
- 61. Higuchi M, Matsuo A, Shingai M, Shida K, Ishii A, Funami K, et al. Combinational recognition of bacterial lipoproteins and peptidoglycan by chicken Toll-like receptor 2 subfamily. Dev Comp Immunol. 2008; 32: 147–155. pmid:17614130
- 62. Smirnova I, Poltorak A, Chan E, McBride C, Beutler B. Phylogenetic variation and polymorphism at the toll-like receptor 4 locus (TLR4). Genome Biol. 2000; 1: 1-002.010. pmid:11178226
- 63. Miller SI, Ernst RK, Bader MW. LPS, TLR4 and infectious disease diversity. Nat Rev Microbiol. 2005; 3: 36–46. pmid:15608698
- 64. Seabury CM, Seabury PM, Decker JE, Schnabel RD, Taylor JF, Womack JE. Diversity and evolution of 11 innate immune genes in Bos taurus taurus and Bos taurus indicus cattle. P Natl A Sci. 2010; 107: 151–156.
- 65. Grueber CE, Wallis GP, King TM, Jamieson IG. Variation at innate immunity Toll-like receptor genes in a bottlenecked population of a New Zealand robin. Plos one. 2012; 7: e45011. pmid:23024782
- 66. Barreiro LB, Ben-Ali M, Quach H, Laval G, Patin E, Pickrell JK, et al. Evolutionary dynamics of human Toll-like receptors and their different contributions to host defense. Plos Genet. 2009; 5: e1000562. pmid:19609346
- 67. Palermo S, Capra E, Torremorell M, Dolzan M, Davoli R, Haley C, et al. Toll-like receptor 4 genetic diversity among pig populations. Anim Genet. 2009; 40: 289–299. pmid:19290993
- 68. Yang Z. Likelihood ratio tests for detecting positive selection and application to primate lysozyme evolution. Mol Biol Evol. 1998; 15: 568–573. pmid:9580986
- 69. Zhang DX, Hewitt GM. Nuclear DNA analyses in genetic studies of populations: practice, problems and prospects. Mol Ecol. 2003; 12: 563–584. pmid:12675814
- 70. Woehrle T, Du W, Goetz A, Hsu H-Y, Joos TO, Weiss M, et al. Pathogen specific cytokine release reveals an effect of TLR2 Arg753Gln during Candida sepsis in humans. Cytokine. 2008; 41: 322–329. pmid:18249133
- 71. Hawn TR, Verbon A, Janer M, Zhao LP, Beutler B, Aderem A. Toll-like receptor 4 polymorphisms are associated with resistance to Legionnaires' disease. P Natl Acad Sci USA. 2005; 102: 2487–2489. pmid:15699327
- 72. Simmons G, Young P, Hanger J, Jones K, Clarke D, McKee J, et al. Prevalence of koala retrovirus in geographically diverse populations in Australia. Aust Vet J. 2012; 90: 404–409. pmid:23004234
- 73. Hobbs M, Pavasovic A, King AG, Prentis PJ, Eldridge MD, Chen Z, et al. A transcriptome resource for the koala (Phascolarctos cinereus): insights into koala retrovirus transcription and sequence diversity. BMC Genomics. 2014; 15: 786. pmid:25214207
- 74. Kollipara A, George C, Hanger J, Loader J, Polkinghorne A, Beagley K, et al. Vaccination of healthy and diseased koalas (Phascolarctos cinereus) with a Chlamydia pecorum multi-subunit vaccine: Evaluation of immunity and pathology. Vaccine. 2012; 30: 1875–1885. pmid:22230583