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Genomic legacy of the African cheetah, Acinonyx jubatus
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BACKGROUND: Patterns of genetic and genomic variance are informative in inferring population history for human, model species and endangered populations. RESULTS: Here the genome sequence of wild-born African cheetahs reveals extreme genomic depletion in SNV incidence, SNV density, SNVs of coding genes, MHC class I and II genes, and mitochondrial DNA SNVs. Cheetah genomes are on average 95 % homozygous compared to the genomes of the outbred domestic cat (24.08 % homozygous), Virunga Mountain Gorilla (78.12 %), inbred Abyssinian cat (62.63 %), Tasmanian devil, domestic dog and other mammalian species. Demographic estimators impute two ancestral population bottlenecks: one >100,000 years ago coincident with cheetah migrations out of the Americas and into Eurasia and Africa, and a second 11,084-12,589 years ago in Africa coincident with late Pleistocene large mammal extinctions. MHC class I gene loss and dramatic reduction in functional diversity of MHC genes would explain why cheetahs ablate skin graft rejection among unrelated individuals. Significant excess of non-synonymous mutations in AKAP4 (p<0.02), a gene mediating spermatozoon development, indicates cheetah fixation of five function-damaging amino acid variants distinct from AKAP4 homologues of other Felidae or mammals; AKAP4 dysfunction may cause the cheetah's extremely high (>80 %) pleiomorphic sperm. CONCLUSIONS: The study provides an unprecedented genomic perspective for the rare cheetah, with potential relevance to the species' natural history, physiological adaptations and unique reproductive disposition.
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![Fig. 1 Estimates of genome diversity in the cheetah genome relative to other mammal genomes. a SNV rate in mammals. SNV rate for each individual was estimated using all variant positions, with repetitive regions not filtered. b SNV density in cheetahs, four other felids and human based upon estimates in 50-kbp sliding windows. Of these, 38,661 fragments had lengths less than the specified window size and thus were excluded from further analysis; most of those fragments are contigs with length less than 500 bp, and thus 46,787 windows of total length 2.337 Gb were built and analyzed. c Number of SNVs in protein-coding genes in felid genomes. d The cheetah genome is composed of 93 % homozygous stretches. The genome of Boris, an outbred feral domestic cat living in St. Petersburg (top) is compared to Cinnamon, a highly inbred Abyssinian cat (Fca-6.2 reference for domestic cat genome sequence [19, 20], middle) and a cheetah (Chewbacca, bottom) as described here. Approximately 15,000 regions of 100 Mb across the genome for each species were assessed for SNVs. Regions of high variability (>40 SNVs/100 kbp) are colored red; highly homozygous regions (≤40 SNVs/100 kbp) are colored green. The first seven chromosome homologues of the genomes of Boris, Cinnamon and Chewbacca are displayed for direct comparison. The median lengths of homozygosity stretches in cheetahs (seven individuals), African lions (five individuals), Siberian and Bengal tigers, and the domestic cat are presented in Additional file 1: Figure S7](/paper-figures/90818a8aafc849d8aeb464eaf7414327/genomic-legacy-of-the-african-cheetah-acinonyx-jubatus-figure-1.jpg)
![Fig. 2 Comparison of MHC region structure between cheetah and domestic cats. Left side: Two chromosome B2 segments containing domestic cat MHC genes ordered on BAC libraries [29, 30]. Right side: Cheetah scaffolds related to MHC region. Order of scaffolds is based on the results of synteny analysis (light blue fill). Individual genes are denoted by dots and colored according to their MHC class: light blue for extended class II, blue for class II, green for class III, orange for class I, red for olfactory receptors and purple for histones. Genetic diversity in the MHC region was estimated by calculating SNV counts in non-overlapping 50-kbp windows. These counts are visualized by colored lines in the plot; for cats: green for wildcat, red for Boris and purple for Cinnamon; for cheetahs: red for Tanzania and orange for Namibia](/paper-figures/b7e476fa664c4f9a9102c63705fb3500/genomic-legacy-of-the-african-cheetah-acinonyx-jubatus-figure-2.jpg)

![Fig. 4 Comparison of Dn/Ds distributions for reproduction-related and all cheetah genes. a Distributions of branch-specific values of Dn/Ds for reproductive system genes. Dn/Ds ratios were calculated for five species (dog, human, cat, tiger and cheetah) based on 500 bootstrap replications and the free-ratio model in PAML [37]. b Distributions of branch-specific Dn/Ds values for four species (dog, cat, tiger and cheetah) and ancestral reconstructed Felidae branch. Dn/Ds ratios for branches based on 200 bootstrap replications of 10 Mb protein-coding sequences](/paper-figures/253929fd5806432d89deb8cd53a72537/genomic-legacy-of-the-african-cheetah-acinonyx-jubatus-figure-4.jpg)

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“Muskox genetic diversity is lower than two mammalian species under threat that have undergo recent genetic bottlenecks, the Tasmanian devil (Sarcophilus harrisii)66 and the cheetah (Acinonyx jubatus)67.”
From Chromosomal-level reference genome assembly of muskox (Ovibos moschatus) from Banks Island in the Canadian Arctic, a resource for conservation genomics (2024) · cites this paper as [67]
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“Progressive Cactus has been developed over several years, and has already been successfully used as an integral component of high-profile comparative genomics projects16–20.”
From Progressive Cactus is a multiple-genome aligner for the thousand-genome era (2020) · cites this paper as [17]
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Citations
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
The variant call format and VCFtools
Danecek, P., Auton, A., Abecasis, G. R., Albers, C. A., Banks, E., DePristo, M. A., Handsaker, R. E., Lunter, G. A., Marth, G., Sherry, S. T., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr330 · Cited by 16,450
PAML 4: Phylogenetic Analysis by Maximum Likelihood
Yang, Z. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm088 · Cited by 13,879
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
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Hedrick, P. W., & García‐Dorado, A. (2016) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2016.09.005 · Cited by 700
Progressive Cactus is a multiple-genome aligner for the thousand-genome era
Armstrong, J., Hickey, G., Diekhans, M., Fiddes, I. T., Novak, A. M., Deran, A., Fang, Q., Xie, D., Feng, S., Stiller, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2871-y · Cited by 586
Self-citationGenomics advances the study of inbreeding depression in the wild
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Introduction to Population Biology
Neal, D. (2003) · Cambridge University Press eBooks · doi:10.1017/9781139107976 · Cited by 234
Abascal, F., Corvelo, A., Cruz, F., Villanueva‐Cañas, J. L., Vlasova, A. V., Marcet‐Houben, M., Martínez‐Cruz, B., Cheng, J. Y., Prieto, P., Quesada, V., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1090-1 · Cited by 221
Li, G., Figueiró, H. V., Eizirik, E., & Murphy, W. J. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz139 · Cited by 157
Saremi, N. F., Supple, M. A., Byrne, A., Cahill, J. A., Coutinho, L. L., Dalén, L., Figueiró, H. V., Johnson, W. E., Milne, H. J., O’Brien, S. J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12741-1 · Cited by 147
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Luikart, G., Kardos, M. D., Hand, B. K., Rajora, O. P., Aitken, S. N., & Hohenlohe, P. A. (2018) · Population genomics · doi:10.1007/13836_2018_60 · Cited by 138
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Muñoz‐Fuentes, V., Cacheiro, P., Meehan, T. F., Aguilar‐Pimentel, J. A., Brown, S. D. M., Flenniken, A. M., Flicek, P., Galli, A., Mashhadi, H. H., de Angelis, M. H., et al. (2018) · Conservation Genetics · doi:10.1007/s10592-018-1072-9 · Cited by 115
Hu, J., Hao, Z.-Q., Frantz, L., Wu, S., Wu, C., Jiang, Y.-F., Wu, H., Kuang, W., Li, H., Zhang, Y., et al. (2020) · National Science Review · doi:10.1093/nsr/nwaa031 · Cited by 108
Westbury, M. V., Hartmann, S. A., Barlow, A., Wiesel, I., Leo, V., Welch, R. J., Parker, D. M., Sicks, F., Ludwig, A., Dalén, L., et al. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy037 · Cited by 98
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Beichman, A. C., Koepfli, K., Li, G., Murphy, W. J., Dobrynin, P., Kliver, S. F., Tinker, M. T., Murray, M. J., Johnson, J., Lindblad‐Toh, K., et al. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz101 · Cited by 80
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Hamabata, T., Kinoshita, G., Kurita, K., Cao, P.-L., Itô, M., Murata, J., Komaki, Y., Isagi, Y., & Makino, T. (2019) · Communications Biology · doi:10.1038/s42003-019-0490-7 · Cited by 68
LoPresti, M., Beck, D. B., Duggal, P., Cummings, D. A. T., & Solomon, B. D. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.08.007 · Cited by 65
Pečnerová, P., Garcia‐Erill, G., Liu, X., Nursyifa, C., Waples, R. K., Santander, C. G., Quinn, L. J. E., Frandsen, P., Meisner, J., Stæger, F. F., et al. (2021) · Current Biology · doi:10.1016/j.cub.2021.01.064 · Cited by 68
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Self-citationBarnett, R., Westbury, M. V., Sandoval‐Velasco, M., Vieira, F. G., Jeon, S., Zazula, G. D., Martin, M. D., Ho, S. Y. W., Mather, N., Gopalakrishnan, S., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.09.051 · Cited by 55
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Chen, Z., Ai, F., Zhang, J., Ma, X., Yang, W., Wang, W., Su, Y., Wang, M., Yang, Y. P., Mao, K., et al. (2020) · The Plant Journal · doi:10.1111/tpj.14744 · Cited by 41
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Gottscho, A. D., Wood, D. A., Vandergast, A. G., Lemos‐Espinal, J. A., Gatesy, J., & Reeder, T. W. (2016) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2016.09.008 · Cited by 38
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Humble, E., Dobrynin, P. V., Senn, H., Chuven, J., Scott, A. F., Mohr, D. W., Dudchenko, O., Omer, A. D., Colaric, Z., Aiden, E. L., et al. (2020) · Molecular Ecology Resources · doi:10.1111/1755-0998.13181 · Cited by 34
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Lan, T., Li, H., Liu, B., Shi, M., Tian, Y., Sahu, S. K., Cui, L., Dussex, N., Liu, D., Ma, Y., et al. (2024) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2024.12.004 · Cited by 17
Self-citationGrigorev, K. A., Kliver, S. F., Dobrynin, P. V., Komissarov, A. S., Wolfsberger, W., Krasheninnikova, K., Afanador-Hernández, Y. M., Brandt, A. L., Paulino, L. A., León, R. C., et al. (2018) · GigaScience · doi:10.1093/gigascience/giy025 · Cited by 17
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Gower, G., Tuke, J., Rohrlach, A. B., Soubrier, J., Llamas, B., Bean, N. G., & Cooper, A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/382036 · Cited by 17
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Janečka, J. E., Hacker, C., Broderick, J. C., Pulugulla, S. H., Auron, P. E., Ringling, M., Nelson, B., Munkhtsog, B., Hussain, S., Davis, B. W., et al. (2020) · Springer eBooks · doi:10.1007/978-3-030-33334-8_5 · Cited by 15
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Li, A., Yang, Q., Li, R., Dai, X., Cai, K., Lei, Y., Jia, K., Jiang, Y., & Zan, L. (2022) · Molecular Ecology · doi:10.1111/mec.16483 · Cited by 15
Cotts, L., Slifkin, J. P., Moratelli, R., Gonçalves, L., & Rocha-Barbosa, O. (2023) · Zoologia (Curitiba) · doi:10.1590/s1984-4689.v40.e22034 · Cited by 12
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Lan, T., Tian, Y., Shi, M., Liu, B., Lin, Y., Xia, Y., Ma, Y., Sahu, S. K., Wang, Q., Li, J., et al. (2025) · GigaScience · doi:10.1093/gigascience/giaf003 · Cited by 13
Ochoa, A., Onorato, D. P., Fitak, R. R., Parker, M. R., & Culver, M. (2019) · G3 Genes Genomes Genetics · doi:10.1534/g3.119.400629 · Cited by 13
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Pan, T., Miao, J., Sun, K., Nie, H., Luscombe, N. M., Li, W., Zhang, S., Yang, L., Wang, H., Zhou, Y., et al. (2025) · Science Advances · doi:10.1126/sciadv.adm7980 · Cited by 12
Rai, N., Verma, S. K., Gaur, A., Iliescu, F. M., Thakur, M. K., Golla, T. R., Chandra, K., Prakash, S., Tabasum, W., Ara, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-60751-7 · Cited by 12
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Crane, N. L., Tariel-Adam, J., Caselle, J. E., Friedlander, A. M., Robertson, D. R., & Bernardi, G. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198901 · Cited by 11
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Loy, A., Ciucci, P., Guidarelli, G., Roccotelli, E., & Colangelo, P. (2021) · Biology Letters · doi:10.1098/rsbl.2020.0729 · Cited by 10
Tahoor, A., Khan, J. A., & Mahfooz, S. (2019) · Molecular Biology Reports · doi:10.1007/s11033-019-04739-1 · Cited by 10
Brown, A. P. C., Greenway, R., Morgan, S., Quackenbush, C. R., Giordani, L., Arias‐Rodríguez, L., Tobler, M., & Kelley, J. L. (2017) · Molecular Ecology · doi:10.1111/mec.14249 · Cited by 9
Samaha, G., Wade, C. M., Mazrier, H., Grueber, C. E., & Haase, B. (2021) · BMC Genomics · doi:10.1186/s12864-021-07899-2 · Cited by 9
Meiring, C., Schurz, H., van Helden, P. D., Hoal, E. G., Tromp, G., Kinnear, C. J., Kleynhans, L., Glanzmann, B., van Schalkwyk, O. L., Miller, M. A., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-19025-7 · Cited by 8
Kishida, T., Ohashi, M., & Komatsu, Y. (2022) · Ecological Research · doi:10.1111/1440-1703.12335 · Cited by 7
Zhang, L., Leonard, N., Passaro, R., Luan, M. S., Tuyen, P. V., Han, L. T. N., Cam, N. H., Vogelnest, L., Lynch, M., Fine, A. E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52811-7 · Cited by 9
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von Seth, J., Niemann, J., & Dalén, L. (2018) · Population genomics · doi:10.1007/13836_2018_53 · Cited by 8
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Lok, S., Lau, T. N. H., Trost, B., Tong, A. H. Y., Wintle, R. F., Engstrom, M. D., Stacy, E., Waits, L. P., Scrafford, M., & Scherer, S. W. (2022) · G3 Genes|Genomes|Genetics · doi:10.1093/g3journal/jkac138 · Cited by 6
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Metadata
- Authors
- Dobrynin, P., Liu, S., Tamazian, G., Xiong, Z., Yurchenko, A. A., Krasheninnikova, K., Kliver, S., Schmidt-Küntzel, A., Koepfli, K.-P., Johnson, W., Kuderna, L. F. K., García-Pérez, R., Manuel, M. D., Godinez, R., Komissarov, A., Makunin, A., Brukhin, V., Qiu, W., Zhou, L., Li, F., Yi, J., Driscoll, C., Antunes, A., Oleksyk, T. K., Eizirik, E., Perelman, P., Roelke, M., Wildt, D., Diekhans, M., Marques-Bonet, T., Marker, L., Bhak, J., Wang, J., Zhang, G., & O’Brien, S. J.
- Affiliations
- St Petersburg University (RU)
- Sun Yat-sen University (CN)
- China National GeneBank (CN)
- Smithsonian Conservation Biology Institute (US)
- Consejo Superior de Investigaciones Científicas (ES)
- Harvard University (US)
- National Institutes of Health (US)
- Universidade do Porto (PT)
- Russian Academy of Sciences (RU)
- Leidos Biomedical Research Inc. (United States) (US)
- University of California, Santa Cruz (US)
- Cheetah Conservation Fund (NA)
- Ulsan National Institute of Science and Technology (KR)
- BGI Group (China) (CN)
- University of Copenhagen (DK)
- Corresponding author
- O’Brien, Stephen J.
- ORCID
- Dobrynin, Pavel
- Liu, Shiping
- Tamazian, Gaik
- Xiong, Zijun
- Yurchenko, Andrey A.
- Krasheninnikova, Ksenia
- Koepfli, Klaus-Peter
- Johnson, Warren
- Kuderna, Lukas F.K.
- García-Pérez, Raquel
- Komissarov, Aleksey
- Brukhin, Vladimir
- Zhou, Long
- Li, Fang
- Yi, Jian
- Driscoll, Carlos
- Antunes, Agostinho
- Perelman, Polina
- Roelke, Melody
- Diekhans, Mark
- Marker, Laurie
- Bhak, Jong
- Wang, Jun
- Zhang, Guojie
- O’Brien, Stephen J.
- Venue
- Genome Biology
- Published
- 2015-12
- Volume
- 16
- Issue
- 1
- Pages
- 277-277
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC4676127
- OpenAlex
- W2196011667
- Cited by
- 204
- References
- 95
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 10 · 2023: 16 · 2022: 23 · 2021: 18 · 2020: 20 · 2019: 18 · 2018: 51 · 2017: 9 · 2016: 13
- FWCI
- 16.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Genome biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (publishedVersion, other-oa)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- NSUWorks (Nova Southeastern University) (submittedVersion, cc-by)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
- Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
- Figshare (cc-by)
- Funders
- Ministry of Environment
- Institució Catalana de Recerca i Estudis Avançats
- Saint Petersburg State University (1.50.1623.2013)
- Ministerio de Ciencia e Innovación (BFU2014-55090-P)
- Megagrants
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- cheetah, inbreeding depression, homozygosity, population bottleneck, non-synonymous mutations, AKAP4, sperm abnormalities, skin graft rejection, Late Pleistocene extinction, demographic history
- MeSH terms
- Animals, Cats, Acinonyx, Dogs, Multigene Family, Male, Genetic Variation, Genome, Genomics
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