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A high-density BAC physical map covering the entire MHC region of addax antelope genome

BMC Genomics volume 20, Article number: 479 (2019) Cite this article

Abstract

Background

The mammalian major histocompatibility complex (MHC) harbours clusters of genes associated with the immunological defence of animals against infectious pathogens. At present, no complete MHC physical map is available for any of the wild ruminant species in the world.

Results

The high-density physical map is composed of two contigs of 47 overlapping bacterial artificial chromosome (BAC) clones, with an average of 115 Kb for each BAC, covering the entire addax MHC genome. The first contig has 40 overlapping BAC clones covering an approximately 2.9 Mb region of MHC class I, class III, and class IIa, and the second contig has 7 BAC clones covering an approximately 500 Kb genomic region that harbours MHC class IIb. The relative position of each BAC corresponding to the MHC sequence was determined by comparative mapping using PCR screening of the BAC library of 192,000 clones, and the order of BACs was determined by DNA fingerprinting. The overlaps of neighboring BACs were cross-verified by both BAC-end sequencing and co-amplification of identical PCR fragments within the overlapped region, with their identities further confirmed by DNA sequencing.

Conclusions

We report here the successful construction of a high-quality physical map for the addax MHC region using BACs and comparative mapping. The addax MHC physical map we constructed showed one gap of approximately 18 Mb formed by an ancient autosomal inversion that divided the MHC class II into IIa and IIb. The autosomal inversion provides compelling evidence that the MHC organizations in all of the ruminant species are relatively conserved.

Background

Mammalian major histocompatibility complex (MHC) plays an indispensable role in host defence against infection by various pathogens [1]. Among jawed vertebrates, MHC is encoded by a highly polymorphic region organized into three clusters (classes I, II and III) [2]. MHC class I and class II encode molecules on the cell surface that present exogenous and endogenous antigens to T lymphocytes [3]. MHC class II molecules are further divided into classic MHC class II proteins (DQ, DR, and DP) and non-classic MHC class II proteins (DM and DO) depending on whether the binding to the antigen is direct [4]. MHC class III molecules consist of heat shock proteins and components of the complement system that can assist in immune responses [5]. In addition to antigen processing and presentation, MHC is also involved in genetic diversity and tissue transplantation, and may be involved in mate selection [6].

Research on MHCs of humans [7, 8], mice [9, 10], chickens [11, 12], pigs [13, 14], horses [15,16,17], dogs and cats [18], has revealed considerable conservation in structure and organization. In contrast to MHCs of humans and mice, ruminant MHC was divided in the class II region by a substantial autosomal inversion that divided class II into class IIa and IIb [19]. In addition, we noticed that DY is a newly evolved gene at the boundary of the autosomal inversion [20]; this gene is highly expressed in dendritic cells which are involved in the induction and function of regulatory T cells in the context of microbial exposure [21, 22]. The evolutionary significance of the autosomal inversion still remains largely unclear.

The addax (Addax nasomaculatus) is a critically endangered wild ruminant species listed on the International Union for Conservation of Nature (IUCN) Red List of Threatened Species in 2017 [23]. Previous studies on the addax have focused on the digestive tract [24, 25], parasites [26], microsatellite markers [27], and population genetics [28], while little is known about the addax MHC structure and organization. Although the correlation between MHC diversity and population viability is not fully understood [29], several studies have indicated that populations with limited MHC diversity may be vulnerable to emerging pathogens [30, 31] and that small populations are prone to lose functional alleles of MHC due to genetic drift and demographic fluctuation [32]. We thought it would be beneficial to construct an addax MHC map for the purpose of comparative mapping between wild and domestic ruminant species.

In traditional bacterial artificial chromosome (BAC) library construction, lymphocytes and liver tissue [33, 34] are used as sources of genomic DNA due to the relative ease of sample collection. However, considering the occurrence of somatic recombination and somatic hypermutation in immunoglobulin genes in the development of bone marrow-derived lymphocytes [35], BAC libraries from these cell types may not fully reflect true gene organization and characterization in the genome. Liver tissue has the same limitations considering that liver cells cannot be well separated from lymphocytes because of the rich blood supply in the liver [36, 37]. In addition, some studies have also reported that it is hard to assemble antibody-encoding regions in high-throughput sequencing due to their repetitive nature [38, 39]. Therefore, our addax BAC library, which used fibroblasts rather than blood cells or liver tissue as the genome source, could reveal the intact genomic structure and facilitate contig assembly, especially within antibody loci, during genome sequencing.

In this study, based on the construction of an addax BAC library from fibroblast cells, we constructed a high-density physical map of the addax MHC region consisting of 47 overlapping BAC clones with only one gap located between MHC class IIa and class IIb. The order of the BAC clones which covered addax MHC region was confirmed by DNA fingerprinting, and the overlapping relationship was cross-checked by BAC-end sequencing and sequence-specific PCR. This physical map could facilitate the protection of endangered addax and enhance understanding about ruminant MHC evolution.

Methods

Ethics statement

The primary cell line used for addax genomic DNA isolation was maintained in the laboratory of Professor Runlin Z. Ma. The skin sample of addax used to establish the primary cell line was obtained from an accidently injured male addax maintained in the Beijing Zoo. The animal was anesthetised during the procedure. The project was a research collaboration between the Beijing Zoo and the Institute of Genetics and Developmental Biology (IDGB), Chinese Academy of Sciences, and the consent was obtained from the appropriate authorities at the zoo. Ethics approval was obtained from the Animal Care and Use Committees in IGDB, with the approval number AP2016054.

BAC library construction

The addax primary fibroblast cell line was established by explant culture using a small piece of addax skin as the initial source. The skin tissue-derived fibroblast cells were embedded in 1% low-melting point agarose (Sigma Aldrich Co., MO, USA) at a concentration of 5 × 107 cells /ml to form plugs for subsequent genomic DNA isolation. The DNA plugs were subjected to brief electrophoresis to remove small DNA fragments following proteinase K digestion. After partial digestion with HindIII (New England Biolabs, MA, USA), the large DNA fragments in the plugs were visualized in 1% TAE agarose gels following pulsed-field gel electrophoresis (PFGE). DNA fragments in the 100–300 Kb range were collected and ligated into a commercial BAC vector (pCC1BAC). The ligation mixture was electro-transferred into commercial electro-competent E. coli (Epicentre, WI, USA) after desalting in a 1% agarose cone. The transformed E. coli cells were cultured at 200 rpm for one hour before plating on LB agar plates containing chloramphenicol, IPTG and X-gal. White colonies were individually transferred into 384-well plates for growth, storage, and replication. Each 384-well plate had two replicate plates that were kept in a − 80 °C freezer for long-term storage.

BAC library characterization

To evaluate the quality of the constructed addax BAC library, a total of 172 random BAC clones were picked from the LB plates for insert size determination, as well as determination of the proportion of empty BAC vectors. Individual plasmid DNA was purified from each of 172 BAC clones and subjected to restriction enzyme digestion using NotI (New England Biolabs, MA, USA). The digestion products were visualized by ethidium bromide in 1% TAE agarose gels following PFGE.

Identification of MHC-positive BAC clones

MHC-positive clones were identified from the addax BAC library by PCR-screening of the library using consensus PCR primers designed with bovine and ovine MHC sequences as templates. Bovine and ovine MHC sequences were acquired from the NCBI website (https://www.ncbi.nlm.nih.gov/genome/?term=bos+taurus, https://www.ncbi.nlm.nih.gov/genome/?term=ovis+aries). Primers were designed along the MHC region approximately 50–80 Kb apart using the software Oligo7 (Molecular Biology Insights Inc., CO, USA). All primers were custom-synthesized by Shanghai Sangon (Sangon, Shanghai, China). A total of 51 primer pairs were designed for screening the addax BAC library (Table 1). The addax BAC library of 500 plates was organized into 50 super-pools for screening efficiency. After the potential MHC-positive clones were determined in a certain super-pool, screening was continued for 3-dimensional BAC clone pools of plates, rows, and columns for large-scale PCR screening based on the methods of Li [40]. The PCR products were analysed by 1% TAE agarose gel electrophoresis, and clones with the expected size were picked for subsequent verification.

Table 1 Comparative primers used for the identification of positive BAC clones in the MHC regiona
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DNA fingerprinting of the identified BAC clones

To determine the overlap of the potential MHC-positive clones, each BAC plasmid was completely digested by the restriction enzyme HindIII at 37 °C for 8 h. The digested products were subjected to PFGE on 1% TAE agarose gels. Fingerprinting images were captured with a UVP LabWorks system (UVP Inc., CA, USA). The restriction fragment patterns were analysed to identify overlapping BAC clones, which were then manually assembled into draft contigs based on the modified methods of Marra [41] and Soderlund [42]. Contigs were assembled from the fingerprint data using the computer program FPC (http://www.agcol.arizona.edu/software/fpc/) with a tolerance of 3 and a cutoff of 1e-10.

BAC contig assembly

Guided by the order and location of the comparable bovine and ovine MHC loci, BAC contigs covering the entire addax MHC region were assembled by integrating the results from DNA fingerprinting, sequence-specific PCR, and BAC-end sequencing. There were two sequencing primers residing at restriction enzyme sites in the pCC1BAC vector that could be used to identify insert sequences at both ends by Sanger sequencing. Gaps in the contigs were closed by several rounds of successive PCR screening and by DNA fingerprinting of additional BAC clones. Overlap between adjacent BAC clones was further verified by PCR amplification of the shared DNA fragments between the clones and by final verification through DNA sequencing of the fragments. The oligonucleotide primers used for the DNA sequencing were a CopyControl pCC1BAC vector-derived T7 sequencing primer (5′-TAATACGACTCACTATAGGG3’), pCC1/pEpiFOS RP-2 (abbr.RP-2) (5′-TACGCCAAGCTATTTAGGTGAGA-3′), and pCC1/pEpiFOS RP-1 (abbr.RP-1) (5′-CTCGTATGTTGTGTGGAATTGTGAGC-3′). The acquired BAC-end sequence was used to analyse overlap and to design primers for sequence-specific PCR (Additional file 1: Table S1).

Results

Characterization of the addax BAC library

A graphic overview summarizing our workflow is shown in Fig. 1. We successfully constructed an addax BAC library composed of approximately 192,000 clones with an average insert size of approximately 115 Kb (Fig. 2). The BAC library we constructed was of excellent quality, as indicated by an empty-vector rate of less than 5% (Fig. 2). According to the Animal Genome Size Database, the C value of the addax is 3.98, as estimated by flow cytometry [43]. Therefore, this library should contain 5.4-fold genomic equivalents. This library could serve as a genetic resource in zoo-fluorescence in situ hybridization (Zoo-FISH) for MHC comparative genomic research and provide genomic content information for other chromosome regions.

Fig. 1
figure1

Overview of the addax MHC physical map construction. a BAC library construction. Fibroblasts were embedded into low-melting point agarose to form plugs for subsequent genomic DNA isolation. Genomic DNA fragments of 100–300 Kb were ligated into the pCC1BAC vector. White colonies were picked into 384-well plates after transformation. b 3D-PCR screening strategy. To improve screening efficiency, the entire addax BAC library composed of 500,384-well plates was divided into 50 super-pools. After the positive MHC clones were determined in a certain super-pool by the first dimension of PCR, the second dimension of PCR was further performed on 10 plates. Then, the third dimension of PCR screening was continued on 16 rows and 24 columns. The intersection of a row and column indicated a potential positive clone covering the addax MHC region. c The physical map covering the addax MHC region was assembled by integrating the results from sequence-specific PCR and DNA fingerprinting

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Fig. 2
figure2

Distribution of insert sizes in BAC clones of the addax (Addax nasomaculatus). A total of 192,000 BAC clones were harvested and stored in 500,384-well plates. Based on an analysis of 172 random BAC clones, the average insert size of the genomic DNA in a BAC was approximately 115 Kb, and the insert size for over 80% of BAC clones was larger than 90 Kb. The percentage of empty vectors was less than 5%

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Positive BAC clone screening

Based on bovine and ovine MHC consensus sequences, we designed a total of 51 pairs of PCR primers to screen the addax BAC library. First, potential MHC BAC clones were determined in a certain super-pool by PCR. Then, the location of MHC BAC clones was acquired by performing PCR in 10 plates, 16 rows and 24 columns with a method developed by Li [40]. A total of 68 MHC-positive clones were identified by 44 pairs of primers derived from bovine and ovine MHC consensus regions, which generated products of the expected size (Table 1). The relatively high efficiency in the screening process indicated the homologous natures of the addax, bovine, and ovine MHC regions.

Validation of the overlap between adjacent BAC clones

To determine the overlap of the BAC clones, plasmid DNA from 68 of the selected MHC-positive BAC clones was fully digested by the HindIII restriction enzyme, and the enzyme products were separated by PFGE for DNA fingerprinting. Analysis of the DNA fingerprinting patterns (Fig. 3) helped to identify BACs with overlap, as evidenced by sharing more than 2 identical HindIII fragments. Redundant BAC clones were removed during the extension of the BAC contig. The overlap of the BACs was further verified by DNA sequencing of the sequence-specific PCR products, whose primers were designed according to BAC-end sequencing (Fig. 4). A total of 45 out of 50 pairs of PCR primers designed for sequence-specific PCR generated the expected fragment size between two overlapping clones (Additional file 1: Table S1). Sequence-specific PCR, which served as a cross-check method, enhanced the accuracy of the identification of overlap between adjacent clones.

Fig. 3
figure3

DNA fingerprintings of the 47 positive BAC clones to determine the overlap. The positive BAC clones identified in the PCR screening were digested with HindIII and then separated on a 1% TAE agarose gel. The gel was stained with ethidium bromide (EB) for imaging with a UVP LabWorks system. M: DNA size standard marker (1 Kb Plus DNA Ladder from Transgene); the base pair (bp) sizes are indicated on both sides. a, b Fingerprints of BAC clones consisting of addax MHC contig 1. c Fingerprints of BAC clones consisting of addax MHC contig 2

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Fig. 4
figure4

PCR verification of the overlap between pairs of overlapped BAC clones. Pairs of overlapped clones were PCR-amplified using the same primer pair designed based on the BAC-end sequence. The markers above the black lines indicate the primer pairs, and the ones below the lines are labels of positive clones used as PCR templates. M: DNA size standard (DL2000 Plus DNA Ladder from Transgene); the base pair (bp) sizes are indicated on both sides. a-d Validation of the overlap between clones covering the addax MHC class I–class III-class II a region. e Validation of the overlap between clones covering the addax MHC II b region

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Assembly and characterization of addax BAC contigs

We successfully constructed an addax MHC physical map using a total of 47 positive BAC clones selected from the BAC library. After cross verification by both BAC-end sequencing and co-amplification of identical PCR fragments within the overlapping region, 47 BAC clones were ultimately chosen to construct the minimal tiling path of the addax MHC region. DNA fingerprinting consisted of 47 BAC clones covering the whole addax MHC region (Fig. 3). The insert sizes of the 47 BAC clones were analysed to support information about the size of the addax MHC region (Additional file 2: Figure S1). The first contig had 40 overlapping BAC clones (Fig. 3 a, b), covering an approximately 2.9 Mb of genomic regions including the entire MHC class I, class III, and class IIa. DR and DQ loci were localized to the MHC class IIa region. The second contig had 7 BAC clones (Fig. 3c), covering an approximately 500 Kb genomic region that harbours MHC class IIb. DM, DO and DY loci were found in this region. All clones are available for public cross-checking.

A complete physical map of a BAC clone contig covering the addax MHC region was successfully assembled (Fig. 5) based on the integrated results of DNA fingerprinting, BAC-end sequencing, and sequence-specific PCR of the BAC ends. The gene order and organization of the addax MHC are well conserved compared with the ovine MHC (Additional file 3: Figure S2). The addax MHC physical map we constructed thus far has only one gap, which was caused by an autosomal inversion that divided the MHC class II into class IIa and IIb. However, such an autosomal inversion provides compelling evidence that the MHC organization in ruminant animals are relatively conserved.

Fig. 5
figure5

Physical map covering the entire MHC region of the addax. The order and orientation of BAC clones (overlapping horizontal bars with clone ID name listed above) were determined based on integration of the results of DNA fingerprinting, BAC-end sequencing, and sequence-specific-PCR. The genes identified by BAC-end sequencing are marked by vertical bars along the horizontal line, with the locus names listed above. The continuous BAC map is represented by two panels with the overlapping regions marked with the same coloured shadows at the ends

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Discussion

In this article, we presented a novel MHC physical map for the addax that spanned approximately 3.4 Mb. The two contigs, which covered the whole addax MHC region, spanned approximately 2.9 Mb and 500 Kb genomic regions, respectively. This is the first comprehensive physical map of the MHC of addax. This study provides a preliminary foundation for better estimating addax MHC diversity, which could help to avoid future inbreeding that would potentially impair immune function in the population [44, 45]. Therefore, this physical map provides an important knowledge for the study and protection of the addax.

Based on the comparative gene map of the MHC region among cattle, sheep, and addax (Additional file 3: Figure S2), the organization of the addax MHC is more homologous to that of the ovine MHC than to that of the bovine MHC, which is consistent with the phylogenetic relationship of Hippotraginae being closer to Caprinae than to Bovinae [46]. There is only one gap in this physical map located in MHC class IIa and IIb. According to NCBI genomic data, the autosomal inversion in the sheep genome is approximately 18 Mb. Therefore, the addax gap is probably close to 18 Mb because of the high similarity between the addax MHC and the ovine MHC.

According to bovine and ovine genomic data [47, 48], the bovine and ovine MHC regions span approximately 3.9 Mb and 3.1 Mb, respectively. The addax is a species of Hippotraginae, and the length of its MHC region is between cattle (subfamily Bovinae) and sheep (subfamily Caprinae). These discrepancies may be due to variations in the number of class I genes among cattle, sheep, and addax [49]. It has been proposed that individuals of wild populations possess more MHC-DRB alleles than individuals of captive populations [50]. These differences in MHC region size may be the result of wild and domestic animals experiencing different evolutionary selective pressures.

This physical map of the addax MHC provides additional evidence for the hypothesis of ruminant ancestral chromosome rearrangement [51, 52]. This hypothesis has been supported through comparison of bovine and ovine MHC sequences with MHC sequences from other non-ruminant species, such as humans, chimpanzees and mice [40]. Our results suggested that at least in Bovidae, an inversion occurred in the MHC class II region and autosomes, resulting in a discontinuous MHC class II region and autosomal inversion. In addition, a characterization of the MHC class II region in the Yangtze finless porpoise indicated that its MHC class II region was also divided into two segregated sub-regions [34]. These findings suggested that the inversion in MHC class II may be prevalent in cetaceans and ruminants.

Conclusions

We have successfully constructed a high-density physical map covering the entire MHC region of the addax. A total of 47 effective BAC clones were selected by comparative PCR screening to constitute this physical map. This is the first complete MHC physical map of wild ruminants that could provide valuable information about addax protection and facilitate our understanding of ruminant evolution.

Abbreviations

BAC:

Bacterial artificial chromosome

IUCN:

International Union for Conservation of Nature

MHC:

Major histocompatibility complex

PCR:

Polymerase chain reaction

PFGE:

Pulsed-field gel electrophoresis

Zoo-FISH:

Zoo-fluorescence in situ hybridization

References

  1. 1.

    Snell GD, Higgins GF. Alleles at the histocompatibility-2 locus in the mouse as determined by tumor transplantation. Genetics. 1951;36(3):306–10.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Kaufman J. Unfinished business: evolution of the MHC and the adaptive immune system of jawed vertebrates. Annu Rev Immunol. 2018;36:383–409.

    CAS  Article  Google Scholar 

  3. 3.

    Neefjes J, Jongsma MLM, Paul P, Bakke O. Towards a systems understanding of MHC class I and MHC class II antigen presentation. Nat Rev Immunol. 2011;11(12):823–36.

    CAS  Article  Google Scholar 

  4. 4.

    Mellins ED, Stern LJ. HLA-DM and HLA-DO, key regulators of MHC-II processing and presentation. Curr Opin Immunol. 2014;26:115–22.

    CAS  Article  Google Scholar 

  5. 5.

    Qin J, Mamotte C, Cockett NE, Wetherall JD, Groth DM. A map of the class III region of the sheep major histocompatibilty complex. BMC Genomics. 2008;9:9.

    Article  Google Scholar 

  6. 6.

    Wedekind C, Seebeck T, Bettens F, Paepke AJ. MHC-dependent mate preferences in humans. Proc Biol Sci. 1995;260(1359):245–9.

    CAS  Article  Google Scholar 

  7. 7.

    Horton R, Wilming L, Rand V, Lovering RC, Bruford EA, Khodiyar VK, Lush MJ, Povey S, Talbot CC Jr, Wright MW, et al. Gene map of the extended human MHC. Nat Rev Genet. 2004;5(12):889–99.

    CAS  Article  Google Scholar 

  8. 8.

    Blees A, Januliene D, Hofmann T, Koller N, Schmidt C, Trowitzsch S, Moeller A, Tampe R. Structure of the human MHC-I peptide-loading complex. Nature. 2017;551(7681):525–8.

    CAS  Article  Google Scholar 

  9. 9.

    Mata M, Travers PJ, Liu Q, Frankel FR, Paterson Y. The MHC class I-restricted immune response to HIV-gag in BALB/c mice selects a single epitope that does not have a predictable MHC-binding motif and binds to Kd through interactions between a glutamine at P3 and pocket D. J Immunol (Baltimore, Md : 1950). 1998;161(6):2985–93.

    CAS  Google Scholar 

  10. 10.

    Madeja Z, Yadi H, Apps R, Boulenouar S, Roper SJ, Gardner L, Moffett A, Colucci F, Hemberger M. Paternal MHC expression on mouse trophoblast affects uterine vascularization and fetal growth. Proc Natl Acad Sci U S A. 2011;108(10):4012–7.

    CAS  Article  Google Scholar 

  11. 11.

    Salomonsen J, Sorensen MR, Marston DA, Rogers SL, Collen T, van Hateren A, Smith AL, Beal RK, Skjodt K, Kaufman J. Two CD1 genes map to the chicken MHC, indicating that CD1 genes are ancient and likely to have been present in the primordial MHC. Proc Natl Acad Sci U S A. 2005;102(24):8668–73.

    CAS  Article  Google Scholar 

  12. 12.

    Walker BA, Hunt LG, Sowa AK, Skjodt K, Gobel TW, Lehner PJ, Kaufman J. The dominantly expressed class I molecule of the chicken MHC is explained by coevolution with the polymorphic peptide transporter (TAP) genes. Proc Natl Acad Sci U S A. 2011;108(20):8396–401.

    CAS  Article  Google Scholar 

  13. 13.

    Fan S, Wu Y, Wang S, Wang Z, Jiang B, Liu Y, Liang R, Zhou W, Zhang N, Xia C. Structural and biochemical analyses of swine major histocompatibility complex class I complexes and prediction of the epitope map of important influenza a virus strains. J Virol. 2016;90(15):6625–41.

    CAS  Article  Google Scholar 

  14. 14.

    Gao C, Quan J, Jiang X, Li C, Lu X, Chen H. Swine leukocyte antigen diversity in Canadian specific pathogen-free Yorkshire and landrace pigs. Front Immunol. 2017;8:282.

    PubMed  PubMed Central  Google Scholar 

  15. 15.

    Gustafson AL, Tallmadge RL, Ramlachan N, Miller D, Bird H, Antczak DF, Raudsepp T, Chowdhary BP, Skow LC. An ordered BAC contig map of the equine major histocompatibility complex. Cytogenet Genome Res. 2003;102(1–4):189–95.

    CAS  Article  Google Scholar 

  16. 16.

    Tallmadge RL, Lear TL, Antczak DF. Genomic characterization of MHC class I genes of the horse. Immunogenetics. 2005;57(10):763–74.

    CAS  Article  Google Scholar 

  17. 17.

    Viluma A, Mikko S, Hahn D, Skow L, Andersson G, Bergstrom TF. Genomic structure of the horse major histocompatibility complex class II region resolved using PacBio long-read sequencing technology. Sci Rep. 2017;7:45518.

    Article  Google Scholar 

  18. 18.

    Yuhki N, Beck T, Stephens R, Neelam B, O'Brien SJ. Comparative genomic structure of human, dog, and cat MHC: HLA, DLA, and FLA. J Hered. 2007;98(5):390–9.

    CAS  Article  Google Scholar 

  19. 19.

    Brinkmeyer-Langford CL, Childers CP, Fritz KL, Gustafson-Seabury AL, Cothran M, Raudsepp T, Womack JE, Skow LC. A high resolution RH map of the bovine major histocompatibility complex. BMC Genomics. 2009;10:182.

    Article  Google Scholar 

  20. 20.

    Wright H, Ballingall KT, Redmond J. The DY sub-region of the sheep MHC contains an a/B gene pair. Immunogenetics. 1994;40(3):230–4.

    CAS  Article  Google Scholar 

  21. 21.

    Grainger JR, Hall JA, Bouladoux N, Oldenhove G, Belkaid Y. Microbe-dendritic cell dialog controls regulatory T-cell fate. Immunol Rev. 2010;234(1):305–16.

    CAS  Article  Google Scholar 

  22. 22.

    Ballingall KT, Ellis SA, MacHugh ND, Archibald SD, McKeever DJ. The DY genes of the cattle MHC: expression and comparative analysis of an unusual class II MHC gene pair. Immunogenetics. 2004;55(11):748–55.

    CAS  Article  Google Scholar 

  23. 23.

    2017 I: The IUCN Red List of Threatened Species. Version 2017–3 < http://www.iucnredlistorg > Downloaded on 05 December 2017.

  24. 24.

    Tahas SA, Martin Jurado O, Hammer S, Arif A, Reese S, Hatt JM, Clauss M. Gross measurements of the digestive tract and visceral organs of Addax Antelope (Addax nasomaculatus) following a concentrate or forage feeding regime. Anat Histol Embryol. 2017.

  25. 25.

    Hummel J, Steuer P, Suedekum K-H, Hammer S, Hammer C, Streich WJ, Clauss M. Fluid and particle retention in the digestive tract of the addax antelope (Addax nasomaculatus) - adaptations of a grazing desert ruminant. Comp Biochem Physiol A Mol Integr Physiol. 2008;149(2):142–9.

    Article  Google Scholar 

  26. 26.

    Boufana B, Said Y, Dhibi M, Craig PS, Lahmar S. Echinococcus granulosus sensu stricto (s.s.) from the critically endangered antelope Addax nasomaculatus in Tunisia. Acta Trop. 2015;152:112–5.

    Article  Google Scholar 

  27. 27.

    Heim BC, Ivy JA, Latch EK. A suite of microsatellite markers optimized for amplification of DNA from Addax (Addax nasomaculatus) blood preserved on FTA cards. Zoo Biol. 2012;31(1):98–106.

    CAS  Article  Google Scholar 

  28. 28.

    Armstrong E, Leizagoyen C, Martinez AM, Gonzalez S, Delgado JV, Postiglioni A. Genetic structure analysis of a highly inbred captive population of the African Antelope Addax nasomaculatus. Conservation and management implications. Zoo Biol. 2011;30(4):399–411.

    CAS  Article  Google Scholar 

  29. 29.

    Radwan J, Biedrzycka A, Babik W. Does reduced MHC diversity decrease viability of vertebrate populations? Biol Conserv. 2010;143(3):537–44.

    Article  Google Scholar 

  30. 30.

    Lillie M, Grueber CE, Sutton JT, Howitt R, Bishop PJ, Gleeson D, Belov K. Selection on MHC class II supertypes in the New Zealand endemic Hochstetter's frog. BMC Evol Biol. 2015;15:63.

    Article  Google Scholar 

  31. 31.

    Lillie M, Dubey S, Shine R, Belov K. Variation in major histocompatibility complex diversity in invasive cane toad populations. Wildl Res. 2017;44(6–7):565–72.

    Article  Google Scholar 

  32. 32.

    Biedrzycka A, Kloch A. Development of novel associations between MHC alleles and susceptibility to parasitic infections in an isolated population of an endangered mammal. Infect Genet Evol. 2016;44:210–7.

    CAS  Article  Google Scholar 

  33. 33.

    Zeng CJ, Pan HJ, Gong SB, Yu JQ, Wan QH, Fang SG. Giant panda BAC library construction and assembly of a 650-kb contig spanning major histocompatibility complex class II region. BMC Genomics. 2007;8:315.

    Article  Google Scholar 

  34. 34.

    Ruan R, Ruan J, Wan X-L, Zheng Y, Chen M-M, Zheng J-S, Wang D. Organization and characteristics of the major histocompatibility complex class II region in the Yangtze finless porpoise (Neophocaena asiaeorientalis asiaeorientalis). Sci Rep. 2016;6.

  35. 35.

    Tonegawa S. Somatic generation of antibody diversity. Nature. 1983;302(5909):575–81.

    CAS  Article  Google Scholar 

  36. 36.

    Richardson PD, Withrington PG. Liver blood flow. I. Intrinsic and nervous control of liver blood flow. Gastroenterology. 1981;81(1):159–73.

    CAS  Article  Google Scholar 

  37. 37.

    Li F, Tian Z. The liver works as a school to educate regulatory immune cells. Cell Mol Immunol. 2013;10(4):292–302.

    CAS  Article  Google Scholar 

  38. 38.

    Schwartz JC, Philp RL, Bickhart DM, Smith TPL, Hammond JA. The antibody loci of the domestic goat (Capra hircus). Immunogenetics. 2018;70(5):317–26.

    CAS  Article  Google Scholar 

  39. 39.

    Gertz EM, Schaffer AA, Agarwala R, Bonnet-Garnier A, Rogel-Gaillard C, Hayes H, Mage RG. Accuracy and coverage assessment of Oryctolagus cuniculus (rabbit) genes encoding immunoglobulins in the whole genome sequence assembly (OryCun2.0) and localization of the IGH locus to chromosome 20. Immunogenetics. 2013;65(10):749–62.

    CAS  Article  Google Scholar 

  40. 40.

    Li G, Liu K, Jiao S, Liu H, Blair HT, Zhang P, Cui X, Tan P, Gao J, Ma RZ. A physical map of a BAC clone contig covering the entire autosome insertion between ovine MHC class IIa and IIb. BMC Genomics. 2012;13.

    CAS  Article  Google Scholar 

  41. 41.

    Marra MA, Kucaba TA, Dietrich NL, Green ED, Brownstein B, Wilson RK, McDonald KM, Hillier LW, McPherson JD, Waterston RH. High throughput fingerprint analysis of large-insert clones. Genome Res. 1997;7(11):1072–84.

    CAS  Article  Google Scholar 

  42. 42.

    Soderlund C, Longden I, Mott R. FPC: a system for building contigs from restriction fingerprinted clones. Comput Appl Biosci. 1997;13(5):523–35.

    CAS  PubMed  Google Scholar 

  43. 43.

    Krishan A, Dandekar P, Nathan N, Hamelik R, Miller C, Shaw J. DNA index, genome size, and electronic nuclear volume of vertebrates from the Miami metro zoo. Cytometry A. 2005;65(1):26–34.

    Article  Google Scholar 

  44. 44.

    Ballingall KT, McIntyre A, Lin Z, Timmerman N, Matthysen E, Lurz PWW, Melville L, Wallace A, Meredith AL, Romeo C, et al. Limited diversity associated with duplicated class II MHC-DRB genes in the red squirrel population in the United Kingdom compared with continental Europe. Conserv Genet. 2016;17(5):1171–82.

    CAS  Article  Google Scholar 

  45. 45.

    Li S, Li B, Cheng C, Xiong Z, Liu Q, Lai J, Carey HV, Zhang Q, Zheng H, Wei S, et al. Genomic signatures of near-extinction and rebirth of the crested ibis and other endangered bird species. Genome Biol. 2014;15(12):557.

    Article  Google Scholar 

  46. 46.

    Chaves R, Guedes-Pinto H, Heslop-Harrison JS. Phylogenetic relationships and the primitive X chromosome inferred from chromosomal and satellite DNA analysis in Bovidae. Proc Biol Sci. 2005;272(1576):2009–16.

    CAS  Article  Google Scholar 

  47. 47.

    Elsik CG, Tellam RL, Worley KC, Gibbs RA, Muzny DM, Weinstock GM, Adelson DL, Eichler EE, Elnitski L, Guigo R, et al. The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science (New York, NY). 2009;324(5926):522–8.

    Article  Google Scholar 

  48. 48.

    Jiang Y, Xie M, Chen W, Talbot R, Maddox JF, Faraut T, Wu C, Muzny DM, Li Y, Zhang W, et al. The sheep genome illuminates biology of the rumen and lipid metabolism. Science (New York, NY). 2014;344(6188):1168–73.

    CAS  Article  Google Scholar 

  49. 49.

    Vaiman D, Billault A, Tabet-Aoul K, Schibler L, Vilette D, Oustry-Vaiman A, Soravito C, Cribiu EP. Construction and characterization of a sheep BAC library of three genome equivalents. Mamm Genome. 1999;10(6):585–7.

    CAS  Article  Google Scholar 

  50. 50.

    Grogan KE, Sauther ML, Cuozzo FP, Drea CM. Genetic wealth, population health: major histocompatibility complex variation in captive and wild ring-tailed lemurs (Lemur catta). Ecol Evol. 2017;7(19):7638–49.

    Article  Google Scholar 

  51. 51.

    Amills M, Ramiya V, Norimine J, Lewin HA. The major histocompatibility complex of ruminants. Revue scientifique et technique (International Office of Epizootics). 1998;17(1):108–20.

    CAS  Google Scholar 

  52. 52.

    Lewin HA, Russell GC, Glass EJ. Comparative organization and function of the major histocompatibility complex of domesticated cattle. Immunol Rev. 1999;167:145–58.

    CAS  Article  Google Scholar 

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Acknowledgements

We thank Yuyan You and Wei Wang of the Beijing Zoo for their assistance in the addax skin sample collection. We also thank Dr. Hai Xiang from Foshan University and Dr. Jiawei Jin from Beijing Chaoyang Hospital for providing valuable advice regarding experimental design and for manuscript editing.

Funding

This work was supported in part by grants from the Chinese Academy of Sciences (No. 153E11KYSB20130101 to Runlin Z. Ma) and the National Natural Science Foundation of China (81871130 to Runlin Z. Ma). The funding bodies had no role in the design of the study, in the collection, analysis, and interpretation of data, or in the writing of the manuscript.

Availability of data and materials

All of the BAC-end DNA sequence data for the clones covering the MHC region of the addax were deposited into the NCBI public database with accession numbers MK644945 to MK645038 and are freely available to the public. Regents of all BAC clones mapped to the addax MHC region are available to colleagues worldwide upon request.

Author information

Affiliations

  1. State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, S2-316 Building #2, West Beichen Road, Chaoyang District, Beijing, 100101, China

    Chaokun Li, Xiaoqian Shi, Yu Guo, Rui Huang, Fangyuan Nie & Runlin Z. Ma

  2. Zhengzhou Key Laboratory of Molecular Biology, Zhengzhou Normal University, Zhengzhou, 450044, China

    Longxin Chen & Runlin Z. Ma

  3. School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China

    Chaokun Li, Xiaoqian Shi, Yu Guo, Rui Huang, Fangyuan Nie & Runlin Z. Ma

  4. Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, 100044, China

    Xuefeng Liu, Changming Zheng & Chenglin Zhang

  5. Beijing Zoo, No. 137 West straight door Avenue, Xicheng District, Beijing, 100032, China

    Chenglin Zhang

Authors
  1. Chaokun Li
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  2. Longxin Chen
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  9. Chenglin Zhang
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  10. Runlin Z. Ma
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Contributions

LCK constructed the addax BAC library and carried out BAC library organization and screening. LCK and CLX carried out part of the DNA fingerprinting and SP-PCR. LXF and ZCM provided the animal sample material for the research. SXQ and GY performed primer design and BAC-end sequencing. HR and NFY carried out data analysis. MRZ and ZCL supervised the studies. MRZ and LCK wrote the manuscript. All authors read and approved the final version of the manuscript.

Corresponding authors

Correspondence to Chenglin Zhang or Runlin Z. Ma.

Ethics declarations

Ethics approval and consent to participate

The primary cell line used for addax genomic DNA isolation was maintained in the laboratory of Professor Runlin Z. Ma. The skin sample of addax used to establish the primary cell line was obtained from an accidently injured male addax maintained in the Beijing Zoo. The animal was anesthetised during the procedure. The project was a research collaboration between the Beijing Zoo and the Institute of Genetics and Developmental Biology (IDGB), Chinese Academy of Sciences, and the consent was obtained from the appropriate authorities at the zoo. Ethics approval was obtained from the Animal Care and Use Committees in IGDB, with the approval number AP2016054.

Consent for publication

Not Applicable.

Competing interests

The authors declare that they have no competing interests.

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Additional files

Additional file 1:

Table S1. Sequence-specific PCR primers used for validation of the overlap between BAC clones covering the addax MHC region. A total of 45 pairs of primers are listed in this table. (DOCX 21 kb)

Additional file 2:

Figure S1. Distribution of insert sizes in the BAC clones covering the addax MHC region. (DOCX 751 kb)

Additional file 3:

Figure S2. Schematic (not to scale) comparing genomic organization of the MHC region in cattle, sheep and addax. The blue, red and green bars represent genes in the MHC class I, III, and II regions, respectively. The bovine and ovine gene maps were adapted from Ensembl and NCBI annotations (not all annotated genes are shown here). (DOCX 363 kb)

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Li, C., Chen, L., Liu, X. et al. A high-density BAC physical map covering the entire MHC region of addax antelope genome. BMC Genomics 20, 479 (2019). https://doi.org/10.1186/s12864-019-5790-2

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Keywords

  • MHC
  • Addax nasomaculatus
  • BAC
  • Physical map

BMC Genomics

ISSN: 1471-2164

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