Bonnet, A., Thévenon, S., Maudet F., and Maillard, J. C.: Efficiency of
semi-automated fluorescent multiplex PCRs with 11 microsatellite markers for
genetic studies of deer populations, Anim. Genet., 33, 343–350, https://doi.org/10.1111/j.1365-2052.2006.01550.x, 2002.
Cheng J., Wang, D., Wang, Z., and Yeh, E. T. H.: SENP1 enhances androgen
receptor-dependent transcription through desumoylation of histone
deacetylase 1, Mol. Cell. Biol., 24, 6021–6028, https://doi.org/10.1128/MCB.24.13.6021-6028.2004, 2004.
Cheng, S. L., Jian, Y. L., Chen, C. M., and Liu, B. T.: Relationships between
antioxidants and quality characteristics from velvet antlers of formosan
sambar deer, Korean J. Food Sci. An., 37,
542–551, https://doi.org/10.5851/kosfa.2017.37.4.542, 2017.
Denais, C., Dent, C. L., Southgate, L., Hoyle, J., Dafou, D., Trembath, R. C.,
and Machado, R. D.: Dymeclin, the gene underlying Dyggve-Melchior-Clausen
syndrome, encodes a protein integral to extracellular matrix and golgi
organization and is associated with protein secretion pathways critical in
bone development, Human Mutation, 32, 231–239, https://doi.org/10.1002/humu.21413,
2011.
Feulner, P. G. D., Bielfeldt, W., Zachos, F. E., Bradvarovic, J., Eckert, I.,
and Hartl, G. B.: Mitochondrial DNA and microsatellite analyses of the
genetic status of the presumed subspecies Cervus elaphus montanus
(Carpathian red deer), Heredity, 93, 299–306, https://doi.org/10.1038/sj.hdy.6800504,
2004.
Girisha, K. M., Kortüm, F., Shah, H., Alawi, M., Dalal, A., Bhavani,
G. S. L., and Kutsche, K.: A novel multiple joint dislocation syndrome
associated with a homozygous nonsense variant in the EXOC6B gene,
Eur. J. Hum. Genet., 24, 1206–1210, https://doi.org/10.1038/ejhg.2015.261, 2016.
Glowatzki-Mullis, M. L., Gaillard, C., Wigger, G., and Fries, R.:
Microsatellite-based parentage control in cattle, Anim. Genet., 26,
7–12, https://doi.org/10.1111/j.1365-2052.1995.tb02612.x, 1995.
Gyurján, I., Molnár, A., Borsy, A., Stéger, V., Hackler, L.,
Zomborszky, Z., Papp, P., Duda, E., Deák, F., Lakatos, P., Puskás,
L. G., and Orosz, L.: Gene expression dynamics in deer antler: mesenchymal
differentiation toward chondrogenesis, Mol. Genet. Genomics, 277,
221–235, https://doi.org/10.1007/s00438-006-0190-0, 2007.
Haanes, H., Rosef, O., Veiberg, V., and Røed, K. H.: Microsatellites with
variation and heredity applicable to genetic studies of Norwegian red deer
(Cervus elaphus atlanticus), Anim. Genet., 36, 454–455, https://doi.org/10.1111/j.1365-2052.2005.01343.x, 2005.
Hartono, Hazawa, M., Lim, K. S., Dewi, F. R. P., Kobayashi, A., and Wong R. W.:
Nucleoporin Nup58 localizes to centrosomes and mid-bodies during mitosis,
Cell Division, 14, 7, https://doi.org/10.1186/s13008-019-0050-z, 2019.
Haynes, G. D. and Latch, E. K.: Identification of Novel Single
Nucleotide Polymorphisms (SNPs) in Deer (Odocoileus spp.) Using the
BovineSNP50 BeadChip, PLoS ONE, 7, e36536, https://doi.org/10.1371/journal.pone.0036536, 2012.
He, X. L., Xiao, Q., Zhou, Z. P., and Hui, C. Y.: PPM1D accelerates proliferation
and metastasis of osteosarcoma by activating PKP2,
Eur. Rev. Med. Pharmaco., 25, 78–85, https://doi.org/10.26355/eurrev_202101_24351, 2021.
Huang, B., Wang, B., Lee, W. Y. W., Pong, K., Leung, K. T., Li, X., Liu, Z.,
Chen R., Lin, J. C., Tsang, L. L., Liu, B., Ruan, Y. C., Chan, H. C., Li, G., and
Jiang, X.: KDM3A and KDM4C Regulate Mesenchymal Stromal Cell Senescence and
Bone Aging via Condensin-mediated Heterochromatin Reorganization, iScience,
21, 375–390, https://doi.org/10.1016/j.isci.2019.10.041, 2019.
Hunter, J. D.: Matplotlib: A 2D Graphics Environment, Comput. Sci. Eng., 9, 90–95, 2007.
Jean, L., Majumdar, D., Shi, M., Hinkle, L. E., Diggins, N. L., Ao,
M., Broussard, J. A., Evans, J. C., Choma, D. P., and Webb, D. J.: Activation of
Rac by Asef2 promotes myosin II-dependent contractility to inhibit cell
migration on type I collagen, J. Cell. Sci., 126, 5585–5597, https://doi.org/10.1242/jcs.131060, 2013.
Jeong, S., Seong, J. H., Kang, J. H., Lee, D. S., and Yim, M.: Dynamin-related
protein 1 positively regulates osteoclast differentiation and bone loss,
FEBS Letters, 595, 58–67, https://doi.org/10.1002/1873-3468.13963, 2021.
Jia, B., Zhang, L., Zhang, Y., Ge, C., Yang, F., Du, R., and Ba, H.:
Integrated analysis of miRNA and mRNA transcriptomic reveals antler growth
regulatory network, Mol. Genet. Genomics, 296, 689–703, https://doi.org/10.1007/s00438-021-01776-z, 2021.
Kasarda, R., Moravčíková, N., and Trakovická, A.: Advances
in genomic sequencing using Bovine SNP BeadChip in Deer,
Acta Fytotechnica et Zootechnica, 17, 65–71, https://doi.org/10.15414/afz.2014.17.02.65-71, 2014.
Kurzawski, M., Dziewanowski, K., Safranow, K., and Drozdzik, M.:
Polymorphism of genes involved in purine metabolism (XDH, AOX1, MOCOS) in
kidney transplant recipients receiving azathioprine, Therapeutic Drug
Monitoring, 34, 266–274, https://doi.org/10.1097/FTD.0b013e31824aa681, 2012.
Lancioni, H., Di Lorenzo, P., Cardinali, I., Ceccobelli, S., Capodiferro,
M. R., Fichera, A., Grugni, V., Semino, O., Ferretti, L., Gruppetta, A.,
Attard, G., Achilli, A., and Lasagna, E.: Survey of uniparental genetic
markers in the Maltese cattle breed reveals a significant founder effect but
does not indicate local domestication, Anim. Genet., 47, 267–269, https://doi.org/10.1111/age.12408, 2016.
Lin, O., Han, J., Sun, Q., Wen, L., and Wang, S.: Functional variant of IL33
is associated with survival of osteosarcoma patients,
J. Bone Oncol., 2, 100270, https://doi.org/10.1016/j.jbo.2019.100270, 2020.
Merriman, T. R. and Dalbeth, N.: The genetic basis of hyperuricaemia and
gout, Joint Bone Spine, 78, 35–40, https://doi.org/10.1016/j.jbspin.2010.02.027, 2011.
Molnár, A., Gyurján, I., Korpos, E., Borsy, A., Stéger, V.,
Buzás, Z., Kiss, I., Zomborszky, Z., Papp, P., Deák, F., and Orosz,
L.: Identification of differentially expressed genes in the developing
antler of red deer Cervus elaphus, Mol. Genet. Genomics, 277,
237–248, https://doi.org/10.1007/s00438-006-0193-x, 2007.
Nakamura, E., Hata, K., Takahata, Y., Kurosaka, H., Abe, M., Abe, T., Kihara, M.,
Komori, T., Kobayashi, S., Murakami, T., Inubushi, T., Yamashiro, T., Yamamoto,
S., Akiyama, H., Kawaguchi, M., Sakata, N., and Nishimura, R.: Zfhx4 regulates
endochondral ossification as the transcriptional platform of Osterix in
mice, Commun. Biol., 4, 1258, https://doi.org/10.1038/s42003-021-02793-9,
2021.
Ong, J., Timens, W., Rajendran, V., Algra, A., Spira, A., Lenburg, M. E.,
Campbell, J. D., van den Berge, M., Postma, D. S., van den Berg, A., Kluiver,
J., and Brandsma, C. A.: Identification of transforming growth
factor-beta-regulated microRNAs and the microRNA-targetomes in primary lung
fibroblasts, PLoS One, 12, e0183815, https://doi.org/10.1371/journal.pone.0183815, 2017.
Peakall, R. and Smouse, P. E.: GenAlEx 6.5: genetic analysis in Excel.
Population genetic software for teaching and research-an update,
Bioinformatics, 28, 2537–2539, https://doi.org/10.1093/bioinformatics/bts460, 2012.
Piry, S., Alapetite, A., Cornuet, J. M., Paetkau, D., Baudouin, L., and
Estoup, A.: GeneClass2: A Software for Genetic Assignment and
First-Generation Migrant Detection, J. Hered., 95, 536–539, https://doi.org/10.1093/jhered/esh074, 2004.
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A.,
and Reich, D.: Principal Components Analysis corrects for stratification in
Genome-Wide Association Studies, Nature Genet., 38, 904–909, https://doi.org/10.1038/ng1847, 2006.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R.,
Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., and Sham,
P. C.: PLINK: a tool set for whole-genome association and population-based
linkage analyses, Am. J. Human Genet., 81, 559–575, https://doi.org/10.1086/519795, 2007.
Riley, L. G., Menezes, M. J., Rudinger-Thirion, J., Duff, R., de Lonlay, P.,
Rotig, A., Tchan, M. C., Davis, M., Cooper, S. T., and Christodoulou, J.:
Phenotypic variability and identification of novel YARS2 mutations in YARS2
mitochondrial myopathy, lactic acidosis and sideroblastic anaemia,
Orphanet J. Rare Dis., 8, 193, https://doi.org/10.1186/1750-1172-8-193, 2013.
Rohrer, G. A., Freking, B. A., and Nonneman, D.: Single nucleotide
polymorphisms for pig identification and parentage exclusion, Anim. Genet., 38, 253–258, https://doi.org/10.1111/j.1365-2052.2007.01593.x, 2007.
Rowe, S. J., Clarke, S. M., Van Stijn, T. C., Hyndman, D. L., Ward, J. F.,
McEwan, K. M., Dodds, K. G., McEwan, J. C., Newman, A. N., and Asher, G. W.:
Developing genomic tools in the New Zealand, Deer Industry Proceedings of
the New Zealand Society of Animal Production, 75, 91–93, 2015.
Segura, V., Vihjalmsson, B. J., Platt, A., Korte, A., Seren, Ü., Long,
Q., and Nordborg, M.: An efficient multi-locus mixed-model approach for
genome-wide association studies in structured populations, Nature Genet.,
44, 825–830, https://doi.org/10.1038/ng.2314, 2012.
Slate, J., Kruuk, L. E. B., Marshall, C., Pemberton, J. M., and Clutton-Brock,
T. H.: Inbreeding depression influences lifetime breeding success in a wild
population of red deer (Cervus elaphus),
Proceedings of the Royal Society Biological Sciences, 267, 1657–1662, https://doi.org/10.1098/rspb.2000.1192, 2000.
Slate, J., Visscher, P. M., Macgregor, S., Stevens, D., Tate, M. L., and
Pemberton, J. M.: A Genome Scan for Quantitative Trait Loci in a Wild
Population of Red Deer (Cervus elaphus), Genetics, 162, 1863–1873, 2002.
Sleiman, M. B., Jha, P., Houtkooper, R., Williams, R. W., Wang, X., and Auwerx,
J.: The Gene-Regulatory Footprint of Aging Highlights Conserved Central
Regulators, Cell Rep., 32, 108203, https://doi.org/10.1016/j.celrep.2020.108203,
2020.
Stéger, V., Molnár, A., Borsy, A., Gyurján, I., Szabolcsi, Z.,
Dancs, G., Molnár, J., Papp, P., Nagy, J., Puskás, L., Barta, E.,
Zomborszky, Z., Horn, P., Podani, J., Semsey, S., Lakatos, P., and Orosz,
L.: Antler development and coupled osteoporosis in the skeleton of red deer
Cervus elaphus: expression dynamics for regulatory and effector genes,
Mol. Genet. Genomics, 284, 273–287, https://doi.org/10.1007/s00438-010-0565-0, 2010.
Szabolcsi, Z., Egyed, B., Zenke, P., Pádár, Z., Borsy, A.,
Stéger, V., Pásztor, E., Csányi, S., Buzás, Z., and Orosz,
L.: Constructing STR multiplexes for individual identification of Hungarian
red deer, J. Forensic Sci., 59, 1090–1099, https://doi.org/10.1111/1556-4029.12403, 2014.
Szántó-Egész, R., Ujhelyi, G., Koppányné Szabó, E.,
Jánosi, A., Mohr, A., Sipos, R., Dallmann, K., Micsinai, A., Zsolnai,
A., Egerszegi, I., Anton, I., Tóth, G., Molnár, J., Stéger, V.,
Marincs, F., Tóth, P., and Rátky, J.: Mangalica termékek
kimutatására alkalmas real-time PCR módszer fejlesztése
(Development of a realtime PCR method for the detection of Mangalitza
products), Élelmiszer Tudomány és Technológia, 1, 14–21,
2013.
Szántó-Egész, R., Jánosi, A., Mohr, A., Szalai, G.,
Koppányné Szabó, E., Micsinai, A., Sipos, R., Rátky, J.,
Anton, I., and Zsolnai, A.: Breed-Specific Detection of Mangalica Meat in
Food Products, Food Anal. Meth., 9, 889–894, https://doi.org/10.1007/s12161-015-0261-0, 2016.
Wu, W. J., Xia, C. L., Ou, S. J., Yang, Y., Ma, Y. F., Hou, Y. L., Yang, Q. P.,
Zhang, J., Li, J. W., Qi, Y., and Xu, C. P.: Novel elongator protein 2
inhibitors mitigating tumor necrosis factor-
α induced osteogenic
differentiation inhibition, Biomed Res. Int., 2021, 3664564,
https://doi.org/10.1155/2021/3664564, 2021.
Yao, B., Gao, H., Liu, J., Zhang, M., Leng, X., and Zhao, D.: Identification
of potential therapeutic targets of deer antler extract on bone regulation
based on serum proteomic analysis, Mol. Biol. Rep., 46,
4861–4872, https://doi.org/10.1007/s11033-019-04934-0, 2019.
Yao, B., Wang, C., Zhou, Z., Zhang, M., Zhao, D., Bai, X., and Leng, X.:
Comparative transcriptome analysis of the main beam and brow tine of sika
deer antler provides insights into the molecular control of rapid antler
growth, Cell. Mol. Biol. Lett., 25, 42, https://doi.org/10.1186/s11658-020-00234-9, 2020.
Yu, X., Sun H., Gao, X., Zhang, C., Sun, Y., Wang, H., Zhang, H., Shi, Y.,
and He, X.: A comprehensive analysis of age-related metabolomics and
transcriptomics reveals metabolic alterations in rat bone marrow mesenchymal
stem cells, Aging, 14, 1014–1032, https://doi.org/10.18632/aging.203857, 2022.
Zhang, L., Yin, X., Wang, J., Xu, D., Wang, Y., Yang, J., Tao, Y., Zhang,
S., Feng, X., and Yan, C.: Associations between VDR Gene Polymorphisms and
Osteoporosis Risk and Bone Mineral Density in Postmenopausal Women: A
systematic review and Meta-Analysis, Sci. Rep., 8, 981, https://doi.org/10.1038/s41598-017-18670-7, 2018.
Zhao, F., Ma, X., Qiu, W., Wang, P., Zhang, R., Chen, Z., Su, P., Zhang, Y.,
Li, D., Ma, J., Yang, C., Chen, L., Yin, C., Tian, Y., Hu, L., Li, Y.,
Zhang, G., Wu, X., and Qian, A.: Mesenchymal MACF1 facilitates SMAD7 nuclear
translocation to drive bone formation, Cells, 9, 616, https://doi.org/10.3390/cells9030616, 2020.
Zsolnai, A., Radnóczy, L., Fésüs, L., and Anton, I.: Do Mangalica Pigs of Different Colours Really Belong to Different Breeds?, Arch. Anim. Breed., 49, 477–483, https://doi.org/10.5194/aab-49-477-2006, 2006.
Zsolnai, A., Lehoczky, I., Gyurmán, A., Nagy, J., Sugár, L., Anton, I., Horn, P., and Magyary, I.: Development of eight-plex microsatellite PCR for parentage control in deer, Arch. Anim. Breed., 52, 143–149, https://doi.org/10.5194/aab-52-143-2009, 2009.
Zsolnai, A., Tóth, G., Molnár, J., Stéger, V., Marincs, F.,
Jánosi, A., Ujhelyi, G., Koppányné Szabó, E., Mohr, A.,
Anton, I., Szántó-Egész, R., Egerszegi, I., Dallmann, K.,
Tóth, P., Micsinai, A., Brüssow, K. P., and Rátky, J.: Looking
for breed differentiating SNP loci and for a SNP set for parentage testing
in Mangalica, Archives für Tierzucht, 56, 200–207, https://doi.org/10.7482/0003-9438-56-019, 2013.
Zsolnai, A., Maróti-Agóts, Á., Kovács, A., Bâlteanu, A.,
Kaltenecker, E., and Anton, I.: Genetic position of Hungarian Grey among
European cattle and identification of breed-specific markers, Animal, 14,
1–7, https://doi.org/10.1017/s1751731120000634, 2020a.
Zsolnai, A., Kovács, A., Kaltenecker, E., and Anton, I.: Identification
of markers associated with estimated breeding value and horn colour in
Hungarian Grey cattle, Asian Austral. J. Anim., 34,
482–488, https://doi.org/10.5713/ajas.19.0881, 2020b.
