MHC class I diversity of olive baboons (Papio anubis) unravelled by next-generation sequencing
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The olive baboon represents an important model system to study various aspects of human biology and health, including the origin and diversity of the major histocompatibility complex. After screening of a group of related animals for polymorphisms associated with a well-defined microsatellite marker, subsequent MHC class I typing of a selected population of 24 animals was performed on two distinct next-generation sequencing (NGS) platforms. A substantial number of 21 A and 80 B transcripts were discovered, about half of which had not been previously reported. Per animal, from one to four highly transcribed A alleles (majors) were observed, in addition to ones characterised by low transcripion levels (minors), such as members of the A*14 lineage. Furthermore, in one animal, up to 13 B alleles with differential transcription level profiles may be present. Based on segregation profiles, 16 Paan-AB haplotypes were defined. A haplotype encodes in general one or two major A and three to seven B transcripts, respectively. A further peculiarity is the presence of at least one copy of a B*02 lineage on nearly every haplotype, which indicates that B*02 represents a separate locus with probably a specialistic function. Haplotypes appear to be generated by recombination-like events, and the breakpoints map not only between the A and B regions but also within the B region itself. Therefore, the genetic makeup of the olive baboon MHC class I region appears to have been subject to a similar or even more complex expansion process than the one documented for macaque species.
KeywordsMHC Next-generation sequencing Non-human primates Haplotyping
The olive baboon (Papio anubis), an Old World monkey (OWM) species, has its natural habitat in equatorial Africa, and it often serves as a model species in immune response-related studies such as in renal and xeno-transplantation research, as well as in immunotoxicity and sepsis protocols (Le Bas-Bernardet et al. 2015; Poirier et al. 2014, 2015; Schochl et al. 2017; Tanabe et al. 2017). Since the major histocompatibility complex (MHC) plays an important role in generating adaptive immune responses, characterisation of the polymorphic genes encoding MHC class I and II allotypes, which are peptide receptors, is necessary. The DR region of this species has recently been characterised, and a high level of copy number variation (CNV) was observed, allowing the definition of 19 haplotypes. The number of DRB genes present per chromosome varies from two to five. As found in macaques, the DRB region (Paan-DRB) in the olive baboon shows a high level of region configuration polymorphism, whereas allelic variation appears to be absent (de Groot et al. 2017a). Furthermore, the Paan-DQ, Paan-DP, and Paan-DRA genes have been analysed by full-length cDNA sequencing, demonstrating substantial levels of allelic heterogeneity (Otting et al. 2016).
Little is known about the olive baboon MHC class I genes. We wished to investigate whether the Paan-A and Paan-B genes exhibit copy number variation (CNV) and/or allelic polymorphism, potentially in concert with transcription level differences, as has been documented for other OWM. In rhesus and cynomolgus monkeys, for example the A genes are duplicated, and at the population level, one to eight A (A1–A8) loci can be defined. At the haplotype level, generally one major A1 gene is present, which is highly polymorphic, in combination with a selected set of one to three minor A genes (A2–A7) that are oligomorphic and display low transcription levels. The Mamu-A2 gene was recently reported to be a specialist, which preferentially presents 8mer peptides (de Groot et al. 2017b). The B region in macaques shows even more CNV, and up to seven major and eight minor genes may be defined per haplotype. In contrast to the A region, however, a clear differentiation between major and minor B genes is difficult, as well as a definitive allocation of alleles to a certain locus (Budde et al. 2010; Doxiadis et al. 2011, 2013; Fernandez et al. 2011; Karl et al. 2013, 2017; Naruse et al. 2010; O’Leary et al. 2009; Otting et al. 2005, 2007, 2009, 2012; Saito et al. 2012; Shiina et al. 2015).
In different macaque species, two microsatellites—namely, D6S2854 and D6S2859—have been proven to display length pattern polymorphism and can be used to discriminate between macaque A haplotypes (Doxiadis et al. 2011). Therefore, we first screened the olive baboon cohort (N = 154) with these two microsatellites. Since these pre-screening results had already indicated the potentially high level of CNV, a combination of different techniques and platforms was used to shed light on the MHC class I transcriptome of olive baboons. The results are compared to the information that is available for thoroughly characterised macaque species.
Material and methods
Olive baboons, originally obtained from the Centre National de la Recherche Scientifique Centre de Primatologie (Rousset, France), were housed at the large animal facility of the INSERM unit 1064 (Nantes, France). The baboons belong to a breeding group of 154 animals, which are pedigreed and descended from 34 sires and 105 dames. In most cases, the sires were readily identified; based on genetic similarities, however, sometimes two males could potentially have sired the offspring (de Groot et al. 2017a). The 24 animals analysed in this study for class I cDNA with NGS were part of this group.
Blood sampling of the 154 related olive baboons, belonging to the cohort described above, was performed under anaesthesia at the facilities of INSERM, Nantes, in accordance with the institutional ethical guidelines. DNA was extracted from EDTA or citrate blood samples of the 154 animals as described recently, using a conventional phenol/chloroform method (de Groot et al. 2017a).
Paan-A D6S2854 and D6S2859 microsatellite typing
Primers and conditions for the PCR amplification of STR markers D6S2854 and D6S2859 have previously been described (Doxiadis et al. 2011; Wiseman et al. 2007). Briefly, PCR reactions were multiplexed in a 25-μl reaction volume containing 1 unit of Taq polymerase (Invitrogen, Paisley, Scotland) with 0.3 μM of the forward and reverse primer of D6S2859, 0.1 μM of the forward and reverse primer of D6S2854, 5 mM MgCl2, 0.2 mM of each dNTP, 1× PCR buffer II (Invitrogen, Paisley, Scotland), and 100 ng DNA. The cycling parameters were a 5-min 94 °C initial denaturation step, followed by 5 cycles of 1 min at 94 °C, 45 s at 58 °C and 45 s at 72 °C. The programme was followed by 25 cycles of 45 s at 94 °C, 30 s at 58 °C and 45 s at 72 °C. A final extension step was performed at 72 °C for 30 min. The amplified DNA was prepared for genotyping and analysed on an ABI 3130XL genetic analyser (Applied Biosystems). STR analysis was performed using the Genemapper software (Applied Biosystems).
RNA isolation and cDNA synthesis
Blood sampling of 24 related olive baboons, belonging to the cohort described above, was performed under anaesthesia at the facilities of INSERM, Nantes, in accordance with the institutional ethical guidelines. Peripheral blood mononuclear cells (PBMC) were isolated from whole blood by density centrifugation over Ficoll-Paque (Eurobio, Courtaboeuf, France), and sent to BPRC on dry ice. RNA was isolated at BPRC using the All prep DNA/RNA mini kit (QIAGEN Benelux B.V) following the manufacturer’s instructions.
cDNA was produced from the isolated RNA using the RevertAid First Strand cDNA Kit (ThermoFisher Scientific) in accordance the manufacturer’s instructions.
Roche 454 sequencing
For Roche 454 Junior genotyping, using the long-range sequencing GS Junior + series-XL kit, a 755-bp amplicon was produced spanning the polymorphic exon 2 and 3 regions of MHC class I. For the amplification of Paan-AB in 24 olive baboons, 48 MID primers (reactions in duplo) and one barcode (BC) were used for two subsequent PCR reactions. The initial BC-PCR comprising a forward/reverse adaptor sequence, a barcode sequence, and a target-specific, newly defined sequence was performed with a few cycles to reduce any preferential amplification of specific alleles (Suppl. Table 1). The initial PCR was performed in a volume of 20 μl with 0.2 mM dNTPs, 0.5 μM each of the forward and reverse BC primers, 3% DMSO, 1× EVAgreen (Biotium, Hayward, US), 5 μl cDNA, and 0.02 U/μl Phusion polymerase (Phusion Hot Start II High Fidelity Polymerase, Finnzymes, Vantaa, Finland) in 1× Phusion HF buffer. The cycle conditions were a hot-start of 1 min at 98 °C, followed by 10 cycles of 15 s at 98 °C, 10 s at 66 °C, 10 s at 63 °C, 10 s at 60 °C, 30 s at 58 °C and 30 s at 72 °C, with a final extension of 40 s 72 °C.
Any non-extended oligos and single-stranded DNA were then enzymatically digested by exonuclease I (Thermo Scientific, Leon-Rot, Germany) by adding 1 μl of 5× Phusion HF buffer, 3.5 μl H2O and 0.5 μl exonuclease I (10 units) to the PCR product. Digestion was performed for 30 min at 37 °C, and the enzyme was then inactivated for 15 min at 80 °C.
For the second, quantitative PCR, 5 μl of a reaction mix containing 1× Phusion HF buffer, 0.2 μM dNTPs, 0.02 U/μl Phusion HS II HF Polymerase and 0.5 μM each of forward and reverse MID primers (Suppl. Table 1) was added to the exonuclease-treated, first PCR product. Cycling conditions were a hot-start of 1 min at 98 °C, followed by 20 cycles of 10 s at 98 °C, 20 s at 68 °C and 30 s at 72 °C, with a final extension of 1 min at 72 °C.
For each sample, the end point fluorescence was determined, and amplification was considered successful if 100 relative fluorescence units (RFU) was exceeded. All reactions were divided into groups of four based on similar end point RFU, and from these groups, a four times 15 μl reaction mix was pooled and run on a 1.5% agarose gel (12 samples were not pooled). The band that corresponded to a size of 755 bp for Paan-AB was excised and purified by a GeneJET gel extraction kit (Thermo Scientific, Leon-Rot, Germany). Finally, the amplicons were eluted with 50 μl elution buffer, and the concentration of 5 μl from each pool was measured with a Qubit fluorometer (Life technologies, Paisley, UK). Based on these measurements, all samples were pooled equimolar, followed by a further concentration measurement and a final dilution of pooled products to 2 million molecules/μl. This final mix was used for emulsion PCR.
Emulsion PCR and Roche 454 sequencing
Emulsion PCR was performed according to the emPCR Amplification Method Manual—LIB-A of Roche GS Junior+ Series (Roche, Mannheim, Germany). Preparation of samples for the Roche 454 sequencing was also performed according to the Sequencing Manual—LIB-A of Roche GS Junior+ Series protocol (Roche, Mannheim, Germany), and long-range sequencing was run on Roche 454 Junior or FLX instruments. An average of 450 MHC class I reads was obtained for each animal.
Raw data generated by Roche 454 Junior/FLX were first analysed in Roche 454 Analysis software version 2.6 to get rid of NGS-dependent sequencing errors; fna files were then imported and analysed in Geneious Pro (version 9.0) (Biomatters Limited, Auckland, New Zealand). All sequences were first compared to the NCBI (https://blast.ncbi.nlm.nih.gov/Blast.cgi) and the IPD-MHC NHP databases (http://www.ebi.ac.uk/ipd/mhc/group/NHP) to define known alleles. All other sequences were de novo assembled and compared to each other. Only those that had been detected in forward and reverse directions and at least ten times with zero mismatches were accepted as new alleles.
PacBio full-length sequencing
The Pacific Biosciences RS II system (Menlo Park, CA, USA) protocols for single-molecule real-time (SMRT) circular consensus sequencing (CCS) of MHC class I full-length transcript amplicons were followed as previously described (Karl et al. 2017; Westbrook et al. 2015). The 24 samples selected for sequencing were processed in three separate pools of eight samples each, with a mixture of two and three different 5′ and 3′ primers, respectively (Suppl. Table 1). Each primer was tagged at the 5′ end with a unique 16-bp barcode (www.pacb.com) to allow identification of samples. For PCR amplification of differentially barcoded MHC class I samples, the following conditions were applied: 40 μl of reaction mix containing 4 μl of cDNA, 1× Phusion HF buffer, 0.2 μM dNTPs, 0.02 U/μl Phusion HS II HF Polymerase, 0.5 μM each of forward and reverse primer mixes (Suppl. Table 1). Cycling conditions were 1 min at 98 °C hot-start, followed by 22 cycles of 5 s at 98 °C, 10 s at 60 °C and 20 s at 72 °C, with a final extension of 5 min at 72 °C and 30 s at 4 °C. PCR products of ~ 1200 bp were selected by gel electrophoresis, excised and purified with a GeneJet Gel Extraction Kit (Thermo Fisher Scientific, Leon-Rot, Germany). PCRs were repeated until a total of ~ 3 μg of DNA was obtained. The amplicons were then pooled and purified twice using AMPure XP beads (Beckman-Coulter, Woerden, The Netherlands) at a 1:1 bead to DNA volume ratio. The DNA concentration of the purified samples was measured using the Qubit dsDNA HS assay kit and Qubit 2.0 Fluorometer (Therma Fisher Scientific, Waltham, Ma, USA) and should be >1 μg.
The amplicons were then sent to the Leiden Genome Technology Centre (LGTC), where the creation of the SMRTbell templates and sequencing was performed on a PacBio RSII instrument. Briefly, DNA damage and end-repair protocols were run on the pools of differentially barcoded MHC class I amplicons, adapters were blunt-ligated to the ends of the amplicons to create SMRTbell templates, unligated products were removed via exonuclease treatment, the SMRTbell templates were purified to remove adapter dimers and small products, sequencing primers and polymerase were bound to the PacBio adapters, templates were loaded onto the PacBio RS II instrument, and circular consensus sequences (CCS) were obtained by reading around each SMRTbell template multiple times (Karl et al. 2017).
Each pool was sequenced on one SMRT cell, and 465 reads were obtained on average per sample. One pool was additionally sequenced on a PacBio Sequel instrument.
PacBio full-length amplicon analysis
At LGTC, the reads of insert files for all SMRT cells for a particular pool of samples were first combined, and all reads of insert were pre-processed to remove zero-length reads and to append the barcode name or sample ID to each read header for easier downstream tracking. Reads of 900–1200 bp were extracted from the pre-processed reads of insert files (Karl et al. 2017) (www.pacb.com).
Fastq files were imported into Geneious Pro (version 9.0) (Biomatters Limited, Auckland, New Zealand) (Kearse et al. 2012). Sequences were then mapped against a database containing full-length or partial Paan-AB transcripts at 100% identity to pull out all reads of known partial or full-length sequences, leaving only putative novel or extensions of known transcripts for downstream analysis. Identical sequences were then clustered, and only clusters supported by at least three independent reads were retained. Reads of the individual clusters were used to pull out all extensions of known sequences; these extensions were retained for validation alongside the putative novel transcripts. A fasta file of putative novel transcripts and a genotyping table with read counts per sample were generated from the final mapping step.
Putative novel sequences and extensions of known transcripts were manually validated using Geneious Pro (version 9.0) (Karl et al. 2017). All novel and extension sequences supported by three or more perfectly identical full-length reads were submitted to the NCBI GenBank for accession numbers, and to the Immuno Polymorphism Database for the Major Histocompatibility Complex genes of Non-Human Primates (IPD-MHC NHP) (http://www.ebi.ac.uk/ipd/mhc/nhp/index.html) for official nomenclature (de Groot et al. 2012; Maccari et al. 2017) (Suppl. Table 2).
The evolutionary history of the Paan-A alleles was inferred by using the maximum likelihood method based on the Jukes–Cantor model. The tree with the highest log likelihood (− 6824.3553) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying neighbor-joining and BioNJ algorithms to a matrix of pairwise distances estimated using the maximum composite likelihood (MCL) approach and then selecting the topology with superior log likelihood value. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 38 nucleotide sequences. Codon positions included were first + second + third + noncoding. There was a total of 1098 positions in the final dataset. Evolutionary analyses were conducted in MEGA7.
The evolutionary history of the Paan-B alleles was inferred using the neighbour-joining method. The optimal tree with the sum of branch length = 1.85719168 is shown. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Nei-Gojobori method and are in the units of the number of synonymous substitutions per synonymous site. The analysis involved 130 nucleotide sequences, and all ambiguous positions were removed for each sequence pair. There was a total of 364 positions in the final dataset. Evolutionary analyses were conducted in MEGA7.
Paan-A STR screening
Paan-A and Paan-B allele discoveries
Since the results of the STR prescreening suggested high levels of diversity with regard to copy number variation and polymorphism within the Paan-A region, we decided to perform a thorough characterisation of the Paan class I region. Therefore, MHC class I transcripts of a selected panel of 24 cohort animals were analysed using two NGS platforms. In the first instance, cDNA of class I exon 2–exon 3 was amplified and sequenced on a Roche 454 platform with long-read software, using specially developed primer sets and two subsequent PCR reactions. Because Roche stopped the production of NGS kits, allele discovery has been continued by way of full-length Mhc class I Paan-A and B cDNA sequencing on PacBio instruments by using generic primer sets developed originally for macaques (Karl et al. 2017) (Suppl. Table 1). However, both methods detected more or less the same number and combination of alleles with a comparable number of reads. The discrepancies observed are likely due to primer inconsistencies. Combining the results obtained by the two NGS platforms resulted in the discovery of a total of 21 and 80 Paan-A and Paan-B full-length sequences, respectively. Of these, 18 and 60 represent unreported Paan-A and Paan-B alleles or reflect extensions to known sequences (Suppl. Table 2).
Definition of Paan-AB haplotypes
The situation is more complex for B genes/alleles; however, as on nearly every haplotype, major B transcripts are detected together with multiple B genes with lower transcription levels. These results are comparable to macaques, in which a B region comprises several major B genes together with up to seven minor transcripts (Karl et al. 2013, 2017; Otting et al. 2005). In addition to seven bona fide B transcripts, haplotype 16, which is present in four animals (Suppl. Table 3), contains two pseudogenes.
Although most of the haplotypes consist of different A and B genes, the combinations A*04:01, A*15:01, A*14:01:02/14:04 and A*01:02 and A*02:01 are present on three or two haplotypes, respectively. Furthermore, the B*02 lineage alleles are exceptional; Paan-B*02:01, for example, is present on five of the 16 haplotypes, in combination with different other B genes (Fig. 3).
Paan-AB haplotypes generated by recombination-like processes
In Indian rhesus macaques, it has been shown that the reshuffling of A, B, and DR region segments by recombination-like events can generate ‘new’ haplotypes that accumulated over long evolutionary time spans (Doxiadis et al. 2013). Here, we also observed haplotypes (e.g. Fig. 3, ha 4, and 8) that seem to have been generated in the past by recombination-like events between the A and B regions. In contrast to Indian rhesus macaques, however, crossing-over events map also between B region loci; for instance, haplotypes 6 and 7 (Fig. 3) are nearly identical apart from an additional gene, B*41:04, which is present on haplotype 7. Another example is highlighted by haplotypes 13 and 14, where three of the seven B genes—namely, B*02:02:02, B*02:10 and B*17:01—are shared between both haplotypes, whereas the other four B genes are different. An additional illustration of breakpoints within the B region is provided by haplotypes 7 and 15. The observations of such ‘patchwork haplotypes’ suggest that recombination-like processes have been the reason for their emergence. In addition, gene conversion events may have switched certain genes as for example B*04:03 from one haplotype to the other, as such contributing to the emergence of new haplotypes.
Distribution of Bw4 and Bw6 motifs
Bw4 and Bw6 are mutually exclusive epitopes on the alpha 1 domain of HLA class I molecules (pos 77–83), Bw4 of which binds an array of diverse allotypes of immunoglobulin-like receptors of NK cells (KIR) in humans (Cella et al. 1994; Gumperz et al. 1995, 1997; Lutz 2014). Since Bw4 and Bw6 epitopes are also known to be present on class I molecules in macaques, we searched for their presence/absence on class I molecules in the olive baboon. As in macaques, no identical Bw4 motifs (NLRIALR) can be observed in Paan-A or Paan-B molecules. Identical Bw6 (SLRNLRG) motifs, however, are present in two A allotypes: namely, Paan-A*17:01 and Paan-A*26:01, and in the Paan-B*18 lineage members, as well as Paan-B*42:01 and Paan-B*54:01 (Suppl. Table 4). Furthermore, the canonical Bw6 motif (NLRNLRG), which is present in Mamu-A1*002:01, and responsible for binding to KIR3DL05 (Colantonio et al. 2011; Rosner et al. 2011), is also defined in several Paan-A allotypes, namely, those of the Paan-A*01 and Paan-A*14 lineage (except Paan-A*14:03), in addition to Paan-A*19:01, *23:01, and *25:01 (Suppl. Table 4). The nucleotide sequences of all of them, with the exception of Paan-A*19:01, form a seperate branch in the phylogenetic tree (Fig. 1).
Long-range NGS on two different platforms, Roche 454 and PacBio SMRT, allowed the discovery of a high number of MHC class I A (n = 21) and B alleles (n = 80) in the olive baboon. For Paan-A and Paan-B alleles, different transcription levels have been observed, and it is a phenomenon known for other OWM species such as rhesus, cynomolgus, and pigtailed macaques (Fernandez et al. 2011; Karl et al. 2013, 2017; Lian et al. 2016; Otting et al. 2005, 2007, 2009, 2012). Additionally, the occurrence of different numbers of loci per haplotype—especially within the B region—is also comparable to the situation in macaques. Thus, in olive baboons as in other OWM, the diversity of the class I region is caused mainly by CNV and the different content of the respective genes, and not, as in humans, by allelic variation of the A and B genes. A peculiarity of olive baboons, however, appears to be the frequent occurrence of two different major A transcripts per haplotype, a phenomenon that is less often observed in macaques.
Indian rhesus macaque haplotypes appear to be the result of recombination-like processes between MHC regions such as Mamu-A and B (Doxiadis et al. 2013). Recombinations within one region like the B region, however, which may be the reason for such patchwork haplotypes, have not often been observed when using Sanger sequencing (de Groot et al. 2014; Doxiadis et al. 2013). These are more easily visible with high resolution NGS techniques. The existence of patchwork haplotypes within the class I B region is more often observed in certain macaque species such as cynomolgus macaques. Additionally, the origin of the monkeys seems to play a role, since patchwork hapotypes are more frequent in Chinese rhesus macaques than in rhesus macaques of Indian origin (Karl et al. 2013, 2017). Differential recombination dynamics have been characterised for various macaques species (de Groot et al. 2014). Thus, it appears plausible that the frequent observation of such patchwork haplotypes within the Paan-B region is a peculiarity of olive baboons.
Patchwork haplotypes are described further within the DRB region of cynomolgus but not rhesus macaques (Doxiadis et al. 2010). In cynomolgus macaque species, the duplication of loci, especially of DRB6 pseudogenes, is often detected, and it has been discussed as to whether these pseudogenes may play a prominent role in the recombination process due to the presence of retroviral elements that may promote recombination (Doxiadis et al. 2008; Kulski et al. 1999). Similarly, in olive baboons, the Paan-B*02 lineage/locus is sometimes duplicated, which may indicate that the locus itself or surrounding DNA segments are prone to chromosomal breaks. The MHC region of OWM and Hominoids has been subjected to expansions and contractions. The MHC of macaques in particular has been thoroughly studied, and several rounds of duplications have been shown for their class I region, caused mainly by the incorporation of transposable elements (Dawkins et al. 1999; Kulski et al. 1999). Within the Mamu-B region, specific endogenous retroviral sequences have been described that lead to the duplication of certain B loci and sometimes subsequently to the truncation of the adjacent genes (Doxiadis et al. 2009). Comparable results are gained by the analysis of the A region in macaques (Doxiadis et al. 2011; Kulski et al. 1999). Thus, it appears to be plausible that transposable elements also exist within the B region in baboons, which may initiate breaks and thus cause recombination-like processes and duplications. Further research is needed to determine the presence of such sequences, which promote expansion and recombination.
Since OWM possess, in contrast to humans, multiple A and B transcripts per haplotype, it may be assumed that some of their products will have a specialised function. Such a specialist MHC class I molecule, which seems to be transported to the cell surface only when suitable peptides become available, has been described recently for the rhesus macaque (de Groot et al. 2017b). In addition to their peptide presenting role, class I molecules of human and non-human primates serve as ligands for NK cell receptores as KIR or CD94/NKG2. In human immunodeficiency virus infections (HIV) survival is highly linked to host KIR and HLA class I genotypes (Alter et al. 2007). However, for macaques and other OWM, which, for instance, serve as model species for the simian immunodeficiency virus-induced AIDS, MHC-KIR interactions are not fully understood. In contrast to humans but as in rhesus macaques, no completely identical Bw4 epitopes can be detected for class I A (Fig. 1) and B molecules in the olive baboon, though Bw6 epitopes can be (Suppl. Table 4). However, binding assays between selected class I molecules or tetramers, respectively, have shown KIR binding to macaque class I A molecules (Colantonio et al. 2011; Maloveste et al. 2012; Rosner et al. 2011). Additionally, one commonly expressed molecule, Mamu-KIR3DL01, revealed similarity in canonical Bw4 epitope recognition with human KIR3DL1 (Schafer et al. 2014). In contrast to humans, molecules such as Mamu-A1*002:01, which show a canonical Bw6 epitope, have been identified as ligands for KIR3DL05 in rhesus macaques (Colantonio et al. 2011). Several class I A molecules with this canonical Bw6 motif have been determined in the olive baboon as well, including the minor Paan-A*14 lineage members, which may indicate that these molecules have a specialised function (Fig. 1). Research on KIR-MHC interactions in pig-tailed macaques has shown that a specific KIR3DL molecule recognised a broad range of MHC class I molecules with Bw4 and Bw6 but also non-Bw4 or non-Bw6 motifs (Maloveste et al. 2012). This MHC reactivity seems to be degenerative but peptide dependent. Future binding experiments between MHC and KIR molecules in baboons or other OWM species are needed to elucidate their molecular interactions.
The authors wish to thank F. van Hassel for preparing the figures and D. Devine for editing the manuscript.
This work was supported in part by NIAID contracts HHSN272201100013C and HHSN272201600007C.
Compliance with ethical standards
All applicable international, national and/or institutional guidelines for the care and use of animals are followed.
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