Low Diversity of Major Histocompatibility Complex (MHC) Genes in Endangered Malayan Tapir (Tapirus indicus)
Abstract
Ismail, Nurul Adilah, Yong, Christina Seok Yien, Sin, Simon Yung Wa, Annavi, Geetha (2023): Low Diversity of Major Histocompatibility Complex (MHC) Genes in Endangered Malayan Tapir (Tapirus indicus). Zoological Studies 62 (12): 1-18, DOI: 10.6620/ZS.2023.62-12, URL: http://dx.doi.org/10.5281/zenodo.12828310
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© 2023 Academia Sinica, Taiwan Open Access Low Diversity of Major Histocompatibility Complex (MHC) Genes in Endangered Malayan Tapir (Tapirus indicus) Nurul Adilah Ismail1, Christina Seok Yien Yong1, Simon Yung Wa Sin2, and Geetha Annavi1,* 1Department of Biology, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia. *Correspondence: E-mail: [email protected] (Annavi). Tel: +60397696621. E-mail: [email protected] (Ismail); [email protected] (Yong) 2School of Biological Sciences, The University of Hong Kong, Pok Fu Lam Road, Hong Kong SAR. E-mail: [email protected] (Sin) Received 10 March 2022 / Accepted 3 January 2023 / Published 31 March 2023 Communicated by Jen-Pan Huang The Malayan tapir (Tapirus indicus) is listed as Endangered on the IUCN Red List due to multiple threats such as habitat loss and human disturbance that have led to its population decline. This decline increases the risk of inbreeding, which could result in the reduction of genome-wide genetic variation and negatively affect the gene responsible for immune response i.e., MHC gene. Class I and II MHC genes are responsible for encoding MHC molecules in the cells that recognise pathogenic peptides and present them to T-Cells on the cell surface for adaptive immune response. However, at present there is no study related to the MHC gene in Malayan tapir yet. This study characterises the MHC class I and II genes from seven individuals, investigates evidence of balancing selection and their relationships with homologous genes of other species. We identified at least one class I gene and four class II genes. Five sequences of alpha1 (α1) and four of alpha2 (α2) domains of class I alleles, two DRA, two DQA, three DRB and three DQB of class II alleles were isolated. α1 and α2 domains of class I and DRB domain of class II displayed evidence of selection with a higher rate of non-synonymous over synonymous substitutions. Within the DRB gene, 24 codons were found to be under selection where 10 are part of the codons forming the Antigen Binding Site. Genes sequences show species-specific monophyletic group formation except for class I and DRB genes with intersperse relationship in their phylogenetic trees which may indicate occurrence of trans-species polymorphism of allelic lineage. More studies using RNA samples are needed to identify the gene’s level of expression. Key words: MHC gene, Malayan tapir, Endangered mammals, MHC diversity, peptide-binding region. Citation: Ismail NA, Yong CSY, Sin SYW, Annavi G. 2023. Low diversity of major histocompatibility complex (MHC) genes in endangered Malayan tapir (Tapirus indicus). Zool Stud 62:12. doi:10.6620/ZS.2023.62-12. BACKGROUND The Major Histocompatibility Complex (MHC) gene is a multigene family in vertebrates that plays an important role in the adaptive immune system (Klein 1986; Janeway et al. 2001). This gene plays an essential role in encoding cell surface glycoprotein known as MHC molecules. The MHC molecules are encoded by two major classes of the MHC gene which are class I and II genes. In humans, class I genes are known as HLA-A, HLA-B, and HLA-C while the class II genes are DR, DP, DQ (Penn 2002; Blum et al. 2013). In mammals, when a cell is invaded with foreign pathogens such as viruses and bacteria, both class I and II MHC molecules will bind and present fragments of the foreign peptides on the cell’s surface to T-cells and B-cells (Alberts et al. 2013). Once activated, these T cells and B cells will initiate an immediate immune response such as Zoological Studies 62:12 (2023) doi:10.6620/ZS.2023.62-12 1
© 2023 Academia Sinica, Taiwan lysis of the infected cells. High levels of polymorphism are common in the peptide-binding region (PBR) of the MHC molecules. The amino acid variation within the allele sequences encoded for MHC molecules affects the PBR binding specificity to pathogens. Thus, high variation of the genes allows for a wider range of pathogen recognition (Sommer 2005). Perhaps due to its important function in recognising a wide range of pathogens, the MHC is the most polymorphic gene in vertebrates (Janeway et al. 2001). The high diversity in the gene is attributed to balancing selection, a type of pathogen-mediated selection that maintains the high allelic frequency and nucleotide diversity in the population (Hughes and Hughes 1995). Heterozygote advantage, rare allele advantage and fluctuating selection were hypothesised to be the driving forces behind the pathogen-mediated selection. There is also an established theoretical framework that supports the idea that MHC diversity is driven by any a or a combination of the three mechanisms (Spurgin and Richardson 2010). It is difficult to pinpoint exactly which mechanism drives selection in a particular species. However, it is possible to detect the historical selection that occurs on the gene (Bernatchez and Landry 2003). In most protein coding genes where selection is neutral, the rate of synonymous nucleotide substitutions (substitution that does not result in change in amino acid) is greater than the non-synonymous substitutions (substitutions that result in changes in amino acid). This is because nonsynonymous substitutions tend to change the amino acid, therefore are likely to be deleterious (Graur and Li 2000). However, the MHC gene that encodes for the PBR of the MHC molecule has been observed to display a higher rate of non-synonymous substitutions than synonymous substitutions. The higher rates in this gene may signal that the allele that is under selection could be advantageous in the population (Li 1993). This scenario is common in the MHC gene that encode for different species across multiple taxonomy such as European Badger Meles meles (Sin et al. 2012a b), Koala Phascolarctos cinereus (Cheng et al. 2018) and Spotted pardalote Pardalotus punctatus (Balasubramaniam et al. 2017). Balancing selection could result in retention of a large number of alleles in populations for a long period of time, in which the allele is passed down even after species speciation and results in trans-species polymorphism (Klein 1986). In this study, we characterise the PBR of class I and II genes in Malayan tapir (Tapirus indicus). Malayan tapir is one of the five tapir species that belongs to the family Tapiridae and Order Perissodactyla. Currently, this species is listed as an Endangered species on the International Union for Conservation of Nature (IUCN) Red List and in CITES Appendix I due to multiple factors predominated by habitat loss and human disturbance. Currently, the population of Malayan tapir in the wild is estimated to be only around 2000–2500 individuals, which calls for more efforts to conserve this mammal (Lynam et al. 2008; Traeholt et al. 2016). Existing conservation efforts for this species include captive breeding and wild population monitoring. However, one of the most challenging factors that make it harder to recover from its low population number is that Malayan tapir has a slow reproduction rate whereby they can generally produce one calf every two years after a long gestation period (390–395 days) (Barongi 1993). The small population number further increases the risk of inbreeding, which could lead to inbreeding depression in the population (Hughes and Hughes 1995; Benton et al. 2018). Inbreeding, which is characterised by the loss of genetic variability including at the MHC loci, could decrease their ability to fight pathogens and increase their susceptibility towards diseases (Hedrick and Miller 1994; Keller and Waller 2002; Spielman et al. 2004). One such example of reduced MHC diversity due to inbreeding that led to negative impacts is in the Tasmanian devil. MHC Class I genes were then unable to recognise infectious tumors as foreign, allowing for aggressive invasion into naïve individuals that led to significant population declines. There is also reported high mortality in inbred cheetahs due to coronavirusassociated feline infectious peritonitis (O’Brien and Evermann 1988). Reduction in MHC variation, at least in the MHC class I gene, has also been observed in this species (Schwensow et al. 2019). In the case of Malayan tapir, there is very little information on the MHC gene, and our understanding on the population fitness in relation to the MHC gene is far from complete. Therefore, characterisation of the gene from this study would facilitate our understanding of the evolutionary process that influences MHC gene diversity and serve as a basis for further study on pathogen resistance in this species. Although this study lacks RNA information, the gDNA sequence remains essential in providing preliminary information of the MHC allele and its variation in Malayan tapir with a focus on the important part of the MHC molecule: the peptide-binding region. Objectives This study aims to: 1) characterise the MHC class I and II genes that encode for PBR in Malayan tapir and test for evidence of selection based on gDNA alleles; (2) perform phylogenetic analysis to investigate whether Malayan tapir MHC genes belong to a monophyletic group or if there is an occurrence of trans-species page 2 of 18Zoological Studies 62:12 (2023)
© 2023 Academia Sinica, Taiwan polymorphism. MATERIALS AND MATERIALS Sample collection and DNA isolation Whole blood samples were collected in 2016 from a total of seven healthy captive Malayan tapirs: one sample from Zoo Negara, Malaysia; the remaining six samples from Sungai Dusun Wildlife Reserve, Malaysia (Table S1). The individuals were assumed to be unrelated and coming from different populations by checking their birth and transfer histories to the respective captive centres. Approximately 3 ml of blood was taken by jugular venipuncture by the veterinarians from Department of Wildlife and National Park (DWNP) and deposited into blood collection tubes containing EDTA. Collected blood samples were allocated into several 1.5 ml tubes with approximately 1 ml per tube for storage to avoid multiple freeze-thaw cycles of the samples for DNA isolation. The samples were stored on ice temporarily while in the field and were then immediately transported to the lab upon sampling completion. All the samples were transferred into a -20°C refrigerator until genomic DNA (gDNA) was isolated. gDNA was isolated from approximately 500 µl of blood samples using the QIAamp® DNA Mini Kit (Qiagen, Germany) following the manufacturer’s spin protocol. Extracted DNA samples were quantified using QuantusTM Fluorometer stained with ONE dsDNA dye (Promega, USA). All gDNA samples quantified were above 3.0 ng/µl. Primers Design To amplify the peptide binding region of the class I (exon 2 and 3) and class II (exon 2) MHC genes in Malayan tapir, both published and designed primers were tested. Published primers from horse (AlbrightFraser et al. 1996; Fraser and Bailey 1998; Hedrick and Miller 1994; Kurtz et al. 2010) were tested. Oligonucleotide primers were designed to recognise the highly conserved peptide binding region. The primers were designed using MEGA 5 (Tamura et al. 2011) and Primer 3 Plus (Untergasser et al. 2007) based on consensus alignment of the closely and distantly related species sequences from GenBank (Table 1a and 1b). PCR Amplification Each of the primers were tested using PCR amplification in a 20 μl single reaction containing 1x MyTaq Red Mix (Bioline, Germany), 3–15 ng of template DNA, and 0.5–0.8 μM of primer mix using a touchdown PCR profile. The PCR cycle started with an incubation period of 2 mins at 92°C, followed by 35 amplification cycles started with 92°C for 30s, annealing temperature decreased -1°C per cycle starting at 60°C–50°C for 1 min with the rest of the cycle kept constant at the last annealing temperature, extension at 72°C for 30s, and ended with a single cycle of final extension at 72°C for 5 mins. To confirm success of PCR amplification, 3 μl of PCR products were visualised on 2% agarose gel stained with RedSafe Nucleic Acid Staining Solution. The PCR products that contained the band of expected sizes were purified using Wizard® PCR Clean-Up Table 1. (a) GenBank accession numbers for sequences of closely and distantly related species of Malayan tapir; (b) Primers used for MHC Class I and II amplification. F = forward, R = reverse, Ta = annealing temperature, bp = base pair, td = touchdown Primer name Primer Sequence Product size (bp) Ta (°C) Region amplified Source Class I F: Class1_F1 GTGGACGACACGCAGTTC 791 60–50 (td) exon2-exon3 This study R: Class1_R1 GTGAACAAATCTCGCATC 60–50 (td) This study F: Class1_F2 GGTCTCCCGGTTTCCAGGG 275 60–50 (td) exon 3 This study R: Class1_R2 GCGCTGCAGCGTCTCC 60–50 (td) Class II F: DRA_F2 TTCTATCTGAACCCTGACC 175 55 exon 2 DRA This study R: DRA_R1 GTTGGCTTTGTCCACAGCTA 57 This study F: C2DRB_LA31 GATGGATCCTCTCTCTGCAGCACATTTCCT 308 60–55 (td) exon 2 DRB Hedrick et al (1999) R: C2BRB_LA32 CTTGAATTCGCGCTCACCTCGCC GCTG 60–55 (td) Hedrick et al (1999) F: C2DQA_2E CTGAICACITTGCCTCCTATG 247 55 exon 2 DQA Fraser and Bailey (1998) R: C2DQA_2F TGGTAGCAGCAGIAGIGTTG 53 Fraser and Bailey (1998) F: DQB_F2 TGCTACTTCACCAACGG 205 55 exon 2 DQB This study R: DQB_R3 GTAGTTGTGTCTGCACAC 55 This study page 3 of 18Zoological Studies 62:12 (2023)
© 2023 Academia Sinica, Taiwan System (Promega, USA) following manufacturer’s protocol. Purified PCR products were checked again on 2% agarose gel before being ligated and cloned. Purified PCR products were ligated with pGEM®-T Easy Vector (Promega, USA) into a 10 μl ligation reaction with the following modified protocol: 5 μl 2X Rapid Ligation Buffer, 0.5 μl pGEM®-T Easy Vector, 4.0 μl purified PCR product, 0.5 μl T4 DNA ligase. The ligation reactions were left overnight in 4°C. 5 μl of ligated product was transformed into 20 μl of JM109 HighEfficiency Competent Cells (Escherichia coli) in 1.5 ml tube (to produce multiple copies of a recombinant DNA molecule) and 980 μl of SOC Medium were added bringing the mixture to approximately 1 ml following manufacturer’s instructions. The bacteria with PCR insert were cultured in an incubator with shaking at 37°C for 1 hour and 30 minutes before plating onto LB agar containing ampicillin (50 ng/ml) and X-gal (40 mg/ml). The plates were then placed in an incubator at 37°C for 16 to 18 hours for the colonies to grow. Plates with grown colonies were then stored at 4°C overnight to allow for further formation of blue-white bacteria colonies. Approximately 9–20 white colonies were randomly picked from each plate and colony PCR was performed on each colony using M13 primers (forward: 5'-d(GTTTTCCCAGTCACGAC)-3', reverse:5'- d(CAGGAAACAGCTATGAC)-3'). Colony PCR was performed in a 10 μl reaction containing 1X MyTaqTM Red Mix, 0.5 uM of M13 primer mix. The colony PCR cycle started with an incubation period of 2 mins at 92°C, followed by 35 amplification cycles with each starting with a denaturation temperature of 92°C for 30s, annealing temperature at 55°C for 30s, extension at 72°C for 30s. The PCR ended with a single cycle of final extension at 72°C for 5 mins. 2 μl of colony PCR products were visualised on 2% agarose gel and colonies with expected sizes were sequenced (forward, reversed or both directions) by MyTACG Bioscience Enterprise, Malaysia. Chromatograms of the sequences obtained were analysed using Finch TV 1.4.0 (Geospiza, Inc., Seattle, WA, USA). Identical sequences in the chromatograms were derived from a minimum of two individuals or independent PCR reactions of the same individual were identified as true alleles. Single unique sequences that may indicate possible chimeras or PCR errors were excluded from further analysis. DNA sequences obtained from Malayan tapir in this study were assigned GenBank accession numbers: MK432928-MK432945 and MK482362. Sequences from NCBI BLAST (Altschul et al. 1990) were retrieved and compared with the obtained sequences in this study. The nucleotide sequences were edited in ClustalX (Thompson et al. 2003) and MEGA 5 (Tamura et al. 2011). Data analysis Selection analysis Selection at the amino acid level for the MHC genes was measured as the rates of nonsynonymous (dN) and synonymous (dS) substitutions per codon site by using DnaSP 4.0 (Rozas et al. 2003) and MEGA 7 (Kumar et al. 2016). The rates were measured in accordance with the Nei and Gojobori method (Nei and Gojobori 1986) with Jukes and Cantor correction (Jukes and Cantor 1969). Standard errors were obtained by bootstrap procedure with 1000 replicates. Amino acids that made up the antigen-binding site (ABS) and nonantigen-binding-site (non-ABS) were identified based on Reche and Reinherz (2003). Codons that formed the ABS and non-ABS in the MHC genes were respectively calculated for synonymous and nonsynonymous rates. CODEML program within the PAML 4.4b software (Yang 2007) was used to identify the positive selection sites (PSS) in the class I α1 and α2 domains as well as class II α1 and β1 domains (both in DR and DQ). An Ω value, which is nonsynonymous over synonymous substitutions (dN /dS), larger than 1 indicates PSS within the domains in class I and II genes. Codon-based likelihood analysis was used to test for evidence of positive selection, using several models. Within the CODEML program in PAML, null models and alternative models of nucleotide substitutions were applied and compared. The null models consist of M0-one ratio, M1a-nearly neutral, and M7-beta. The null models consist of parameters that reflect neutral evolution of nucleotide substitution. The nested/ alternative models, which are M3-discrete, M2apositive selection, M8-beta and ω, consist of parameters that allow for positive selection. The parameters set for both null and alternative models are detailed in (Yang et al. 2005). The likelihood ratios (2ΔlnL) of null and alternative models were compared to an χ2 distribution to determine whether the alternative model provided a significantly improved fit, versus the null model. CODEML was also used to calculate Bayes Empirical Bayes (BEB) posterior probabilities (Yang 2007) to identify codons under positive selections, for comparisons of null and alternative models (M1a versus M2a and M7 versus M8). Codons with BEB posterior probabilities greater than 0.95 indicate the positive selection. page 4 of 18Zoological Studies 62:12 (2023)
© 2023 Academia Sinica, Taiwan Phylogenetic analysis Malayan tapir class I (exon 2 and exon 3) and class II (exon 2 of DRA, DRB, DQA, and DQB) sequences were aligned with sequences from closely related species available in GenBank using BioEdit 7.1.3.0 with ClustalW algorithm (Hall 1999) for phylogenetic analysis. Domain borders for the Malayan tapir MHC gene sequences were assigned based on the homologous sequences to its respective HLA genes available on IMGT/HLA database (Robinson et al. 2014). Bayesian phylogenetic inference was performed using MrBayes 3.1.2 (Ronquist and Huelsenbeck, 2003). For each dataset, a Markov chain Monte Carlo (MCMC) search was initiated for at least 1,000,000 generations and sampling for every 100 generations and the first 25% were discarded as “burn in”. The standard deviation of split frequencies converged to a value of less than 0.05. Two separate analyses and four independent chains were executed for all datasets. Evidence of convergence was also checked by plotting the likelihood scores against generations. The gene sequence alignments were run into FindModel (https://www.hiv.lanl.gov/content/sequence/ findmodel/findmodel.html) to find the best fit model for nucleotide substitution. Models were selected based on the lowest Akaike information criterion (AIC) value to better fit the data (Akaike 1974). RESULTS Gene Characterisation Five exon 2 and four exon 3 of class I MHC gene sequences, alongside two DRA, three DRB, two DQA and three DQB sequences of class II MHC were successfully isolated from gDNA samples of seven Malayan tapir individuals using the primers detailed in table 1. More than two class I alleles were detected in T3 (exon 2) and T6 individuals (exon 2 and 3) (Table 2), whereas more than one class I alleles were observed in T3 and T6 individuals (Table 3), indicating the possibility of the presence of multiple class I MHC loci in Malayan tapir. Not more than two alleles were observed within each individual for all class II MHC genes which could indicate a single locus of those genes. A comparison of sequences deduced from the seven Malayan tapirs show high amino acid polymorphism was observed in the exon 2 and exon 3 of class I MHC alleles (Table 4). Meanwhile, in class II MHC alleles, the DRA gene showed the lowest polymorphism with only one nucleotide difference observed. The highest polymorphism was observed in the DRB gene with 24 polymorphic amino acids. Both class I and class II genes in Malayan tapir displayed higher non-synonymous amino acid substitutions than synonymous amino acid substitutions in the compared sequences. Table 2. Presence of MHC class I allele in Malayan tapir individuals. The individuals are denoted as T1-T7 Alleles / Exon 2 Individuals Tain_C1_01 Tain_C1_02 Tain_C1_03 Tain_C1_04 Tain_C1_05 T 1 x T 2 x T 3 x x x T 4 x T 5 x x T 6 xxx T 7 x x Alleles / Exon 3 Individuals Tain_C1_06 Tain_C1_07 Tain_C1_08 Tain_C1_09 T 1 x T 2 x x T 3 x x T 4 x T 5 x x T 6 xxxx T 7 x page 5 of 18Zoological Studies 62:12 (2023)
© 2023 Academia Sinica, Taiwan Based on the aligned sequences with closely related species, Malayan tapir class I MHC allele sequences Tain_C1_01 and Tain_C1_02 (exon 2, Fig. S1), and Tain_C1_06 and Tain_C1_07 (exon 3, Fig. S2) showed amino acid differences that were distinct from orthologous sequences, while the remaining Malayan tapir class I sequences showed high amino acid similarity to the closely related species. In Malayan tapir class II gene sequences, the two sequences of DRA gene (Tain_DRA01 and Tain_DRA02) showed a high similarity between themselves and also with orthologous genes from closely related sequences (Fig. S3). High similarity was also observed between DQA sequences (Tain_DQA01 and Tain_DQA02). However, orthologous genes from closely related species showed lower similarity in the DQA gene (Fig. S4). Malayan tapir DRB gene also showed moderate amino acid similarity to its closely related species (Fig. S5). Malayan tapir DQB gene showed moderate amino acid similarity to its closely related species (Fig. S6). Table 3. Presence of MHC class II allele in Malayan tapir individuals. The individuals are denoted as T1-T7 Alleles / Individuals Class II DRA DRB Tain_DRA01 Tain_DRA02 Tain_DRB01 Tain_DRB02 Tain_DRB03 T1 x x T2 x x x T3 x x x T4 x x T5 x x x T6 x x x T7 x x x Alleles / Individuals Class II DQA DQB Tain_DQA01 Tain_DQA02 Tain_DQB01 Tain_DQB01 Tain_DQB02 T1 x x T2 x x T3 x x x x T4 x T5 x x x T6 x x T7 x x Table 4. Sequence polymorphism of MHC Class I and II genes Class I Class II Exon Exon 2 Exon 3 Exon 2 Domain α1 α2 DRα DQα DRβ DQβ Sequence for comparison 5 4 9 2 3 3 Variable sites 94 85 7 1 35 8 Mutations 104 94 7 1 40 8 Synonymous 19 23 3 0 4 3 Nonsynonymous 43 54 3 1 36 5 No. of amino acid 91 95 63 82 103 69 Polymorphic amino acid residue 46 42 3 1 24 5 page 6 of 18Zoological Studies 62:12 (2023)
© 2023 Academia Sinica, Taiwan Selection Analysis Within Malayan tapir class I sequences, the rate of non-synonymous (dN) to synonymous substitutions (dS) was observed to be higher in codon coding for ABS compared to non-ABS in both exons (Table 5). Exon 2 and exon 3 recorded ω values greater than 1 at 1.37 and 1.18 respectively. In class II genes, only the DRB gene shows a higher rate of non-synonymous substitutions (ω = 3.52) indicating the positive selection in this domain (Table 5). Further analysis using PAML inferred PSS only in DRB class II gene and none in class I genes (Table 6). Comparisons between the M1a and M2a models and the M7 and M8 models show significant results when compared to χ2 distribution inferred PSS of 24 amino acids whereby ten are identified as codons forming the ABS within the DRB sequence (Table 7, see Fig. 5). Phylogenetic Analysis Based on the AIC value (Table S2), class I genes were analysed with a general time-reversible plus gamma model (GTR+Γ) for the exon 2 dataset and Hasegawa-Kishino-Yano plus gamma model (HKY+Γ) for exon 3. For class I genes, a Markov chain Monte Carlo (MCMC) search was initiated with random trees and ran for 3,000,000 generations, with a sampling of every 100 generations. Class II genes were analysed with a general time-reversible plus gamma model (GTR+Γ) for DRB, DQB and beta domain datasets, while Kimura two parameters (K80) were applied to DRA, DQA and alpha domain datasets. For class II genes, a MCMC search was initiated with random trees and ran for 1,000,000 generations with a sampling frequency of every 100 generations. In class I genes, the phylogenetic trees of alpha 1 (five sequences) and alpha 2 (four sequences) domains highlight that the sequences from Tapirus indicus formed two sub clades (Fig. 1). The Tain_ C1_01 and Tain_C1_02 formed closer clades to the homologous sequences of horses and humans. The other two sequences (Tain_C1_03 and Tain_C1_04) form monophyletic clades closer to rhinoceros and bovine species. The clustering may indicate different loci of the alpha1 region, while the alpha 2 region of Tapirus indicus, excluding the Tain_C1_08 sequence, formed a monophyletic group (Fig. 2). Table 5. Rates of non-synonymous (dN) and synonymous (ds) substitutions for antigen-binding site (ABS) and nonABS, and combined (ABS and non-ABS) at the Malayan tapir Tapirus indicus MHC class I loci as determined in PAML. ω indicate ratio of non-synonymous to synonymous nucleotide substitutions Region Position Number of codons dNdSω α1 (exon2) ABS 12 0.45 ± 0.13 0.33 ± 0.18 1.37 Non-ABS 68 0.38 ± 0.06 0.42 ± 0.08 0.89 Class I Combined 80 0.39 ± 0.05 0.41 ± 0.08 0.96 α2 (exon3) ABS 9 0.42 ± 0.17 0.36 ± 0.36 1.18 Non-ABS 74 0.35 ± 0.05 0.42 ± 0.08 0.82 Combined 83 0.35 ± 0.04 0.42 ± 0.08 0.85 DRB ABS 16 0.48 ± 0.10 0.14 ± 0.09 3.52 Non-ABS 86 0.10 ± 0.03 0.04 ± 0.03 2.81 Combined 102 0.16 ± 0.03 0.05 ± 0.03 3.10 DQB ABS 13 0.04 ± 0.04 0.00 ± 0.00 0.00 Non-ABS 56 0.03 ± 0.02 0.13 ± 0.10 0.27 Class II Combined 69 0.04 ± 0.02 0.11 ± 0.08 0.34 DQA ABS 13 0.00 ± 0.00 0.00 ± 0.00 0.00 Non-ABS 69 0.01 ± 0.01 0.00 ± 0.00 0.00 Combined 82 0.01 ± 0.01 0.00 ± 0.00 0.00 DRA ABS 15 0.00 ± 0.00 0.00 ± 0.00 0.00 Non-ABS 40 0.01 ± 0.01 0.07 ± 0.07 0.18 Combined 55 0.00 ± 0.00 0.05 ± 0.05 0.00 page 7 of 18Zoological Studies 62:12 (2023)
© 2023 Academia Sinica, Taiwan Table 6. Null (M1a and M7) and alternative (M2a and M8) models comparison with their parameters determined in PAML for class I and II DRB gene in Malayan tapir Domain Model lnL Parameter estimates(s) LRT 2ΔlnL P value Class I α1 (exon2) M1a -722.30 p0 = 0.60 ω0 = 0.10 p1 = 0.40 ω1 = 1.00 M1a vs M2a 0.06 < 0.5 (NS) M2a -722.27 p0 = 0.62 ω0 = 0.11 p1 = 0.32 ω1 = 1.00 p2 = 0.06 ω2 = 1.87 M7 -722.53 p = 0.31 q = 0.44 M7 vs M8 0.66 < 0.5 (NS) M8 -722.20 p0 = 0.84 p = 0.60 q = 1.67 p1 = 0.16 ω = 1.80 Class I α2 (exon3) M1a -736.27 p0 = 0.25 ω0 = 0.00 p1 = 0.75 ω1 = 1.00 M1a vs M2a 1.44 > 0.9 (NS) M2a -735.56 p0 = 0.31 ω0 = 0.00 p1 = 0.00 ω1 = 1.00 p2 = 0.69 ω2 = 1.45 M7 -736.43 p = 0.03 q = 0.01 M7 vs M8 1.74 > 0.9 (NS) M8 -735.56 p0 = 0.31 p = 0.01 q = 2.29 p1 = 0.69 ω = 1.45 Class II DRB (exon 2) M1a -582.01 p0 = 0.50 ω0 = 0.00 p1 = 0.50 ω1 = 1.00 M1a vs M2a 19.56 < 0.001* M2a -572.23 p0 = 0.88 ω0 = 0.78 p1 = 0.00 ω1 = 1.00 p2 = 0.12 ω2 = 21.61 M7 -585.66 p = 55.96 q = 0.01 M7 vs M8 26.86 < 0.001* M8 -572.23 p0 = 0.88 p = 99 q = 27.15 p1 = 0.12 ω = 21.62 Table 7. Positive selected sites were identified in models M2a and M8 by Bayes Empirical Bayes (BEB) Posterior Probabilities. Asterisk mark indicate codon forming ABS Model LRT Codon number Amino acid Probability ω > 1 Mean ω ± SE M1a versus M2a 16 H 0.99 9.19 ± 1.53 31 D 0.99 9.20 ± 1.50 33 Y 0.99 9.18 ± 1.56 74 K 0.99 9.18 ± 1.15 89 G 0.96 8.89 ± 2.16 M7 versus M8 12 V 0.96 1.47 ± 0.16 13 Q 0.96 1.48 ± 0.16 14 V 0.96 1.50 ± 0.00 16 H 0.98 1.49 ± 0.13 28 R 0.96 1.51 ± 0.00 29 F* 0.96 1.50 ± 0.00 31 D* 0.98 1.49 ± 0.13 33 Y* 0.98 1.49 ± 0.13 34 F 0.96 1.50 ± 0.00 37 R 0.96 1.51 ± 0.00 40 Y* 0.96 1.50 ± 0.00 41 V* 0.96 1.51 ± 0.00 50 Y* 0.96 1.50 ± 0.00 52 P 0.96 1.51 ± 0.00 60 D* 0.96 1.51 ± 0.00 64 W* 0.96 1.51 ± 0.00 70 L* 0.96 1.51 ± 0.00 73 Q 0.96 1.47 ± 0.16 74 K 0.98 1.49 ± 0.13 81 Y* 0.96 1.50 ± 0.00 89 G* 0.96 1.48 ± 0.16 90 E 0.96 1.51 ± 0.00 91 S 0.96 1.51 ± 0.00 93 T* 0.96 1.51 ± 0.00 page 8 of 18Zoological Studies 62:12 (2023)
© 2023 Academia Sinica, Taiwan In class II genes, the two DRA sequences from Tapirus indicus formed a monophyletic group with Tapirus species (Fig. 3). The sequences also formed groups with sequences from rhinoceros species and were interspersed with the human DRA sequence. These sequences formed a distinct group from the horses’ sequences, which formed a monophyletic group. Meanwhile, the two Tapirus indicus DQA sequences formed a monophyletic group with equine sequences (Fig. 4). In beta domain genes, Tapirus indicus DRB gene sequences showed interspersed clustering with sequences from bovine (Fig. 5) while Tapirus indicus DQB sequences formed monophyletic groups (Fig. 6). DISCUSSION Gene Characterisation In this study we were able to isolate almost fulllength exon 2 and exon 3 of class I genes and a partial majority exon 2 of class II genes (DRA, DRB, DQA and DQB). Our inability to amplify the rest of the gene sequences was due to the fact that these sequences would not amplify as readily with the primers that we designed or the ones that were published. Our designed primers were generated from the limited conserved regions of closely related species (mainly horses and rhinoceros) to increase the probability of working primers for amplification. Therefore, this limits the ability to amplify longer gene sequence lengths and increases the probability of missing more alleles. Sequencing data from the amplification using these primers also produces many unique single sequences from the class I and II genes. As we could not reproduce the sequences with independent PCR, these unique sequences were not included in further analysis in this study. The isolated sequences of the Malayan tapir class I exon 2 and exon 3 regions display conserved characteristics that are consistent with common antigen recognition sites in many species that could represent Fig. 1. Phylogenetic tree of MHC class I α1 domain (exon2) sequences from Malayan tapir Tapirus indicus, equids, rhinoceros and other mammals including human and bovine. Bayesian posterior probabilities above 50% are shown above the branches. Tapirus indicus sequences in this tree are Tain_C1_01, Tain_C1_02, Tain_C1_03, Tain_C1_04, and Tain_C1_05. page 9 of 18Zoological Studies 62:12 (2023)
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© 2023 Academia Sinica, Taiwan and dots represent amino acids that are distinct from or identical to Tapirus indicus sequence for this domain respectively. Dashes indicate missing sequences. Putative ABSs were defined according to Reche and Reinherz (2003) and are marked with asterisk mark above the sequence. (download) Fig. S4. Amino acid sequence identity for the Malayan tapir Tapirus indicus class II exon 2 DQA clones, human (Homo sapiens), equids (Equus caballus), bovine (Bubalus bubalis), boar (Sus scrofa), and coyote (Canis latrans). The GenBank accession numbers for DQA (exon2) sequences from other mammals are L3402 (HLA_DQA101011), JQ254060 (E_caballus_EqcaDQA100101), JQ254067 (E_ caballus_EqcaDQA200202), KT428703 (B_bubalis_ BubuDQA2103), AY285931 (Sus_scrofa_DQA1y) and AY126647 (Canis_latrans_DQA01701). Numbers above the sequence indicate the codon position in the DQα domain. Single letters and dots represent amino acids that are distinct from or identical to Tapirus indicus sequence for this domain respectively. Dashes indicate missing sequences. Putative ABSs were defined according to Reche and Reinherz (2003) and are marked with asterisk mark above the sequence. (download) Fig. S5. Amino acid sequence identity for the Malayan tapir Tapirus indicus class II exon 2 DRB clones, equids (Equus caballus) and human (Homo sapiens). The GenBank accession numbers for DRB (exon2) sequences from other mammals are JQ254085 (E_ caballus_DRB100101), JQ254084 (E_caballus_ DRB100201), JQ254086 (E_caballus_DRB100301), and AF029288 (Homo_sapiens_DRB10101). Numbers above the sequence indicate the codon position in the DRβ domain. Single letters and dots represent amino acids that are distinct from or identical to Tapirus indicus sequence for this domain respectively. Dashes indicate missing sequences. Putative ABSs were defined according to Reche and Reinherz (2003) and are marked with asterisk mark above the sequence. (download) Fig. S6. Amino acid sequence identity for the Malayan tapir Tapirus indicus class II exon 2 DQB clones, human (Homo sapiens), equids (Equus caballus), bovine (Bos taurus), boar (Sus scrofa) and dog (Canis familiaris). The GenBank accession numbers for DQB (exon2) sequences from other mammals are L34101 (HLA_DQB050101), JQ254070 (E_ caballus_EqcaDQB100101), JQ254069 (E_caballus_ EqcaDQB100201), DQ093609 (Bos_taurus_BoLa_ DQB), AY459300 (Sus_Scrofa_SLADQB1ax), and AF016905 (Canis_familiaris_DQB10010). Numbers above the sequence indicate the codon position in the DQβ domain. Single letters and dots represent amino acids that are distinct from or identical to Tapirus indicus sequence for this domain respectively. Dashes indicate missing sequences. Putative ABSs were defined according to Reche and Reinherz (2003) and are marked with asterisk mark above the sequence. (download) Table S1. Details of individuals included in this study. (download) Table S2. Akaike Information Criterion (AIC) values for Malayan tapir MHC genes alignments with other species for phylogenetic analysis model selection. Model with lowest AIC value was selected for phylogenetic construction. lnL = log-Likelihood value. (download) page 18 of 18Zoological Studies 62:12 (2023)