Genome-Wide Association Study Identifies Loci and Candidate Genes for Meat Quality Traits in Simmental Beef Cattle
Abstract
Improving meat quality is the best way to enhance profitability and strengthen competitiveness in beef industry. Identification of genetic variants that control beef quality traits can help breeders design optimal breeding programs to achieve this goal. We carried out a genome-wide association study for meat quality traits in 1141 Simmental cattle using the Illumina Bovine HD 770K SNP array to identify the candidate genes and genomic regions associated with meat quality traits for beef cattle, including fat color, meat color, marbling score, longissimus muscle area, and shear force. In our study, we identified twenty significant single-nucleotide polymorphisms (SNPs) (p < 1.47 × 10(-6)) associated with these five meat quality traits. Notably, we observed several SNPs were in or near eleven genes which have been reported previously, including TMEM236, SORL1, TRDN, S100A10, AP2S1, KCTD16, LOC506594, DHX15, LAMA4, PREX1, and BRINP3. We identified a haplotype block on BTA13 containing five significant SNPs associated with fat color trait. We also found one of 19 SNPs was associated with multiple traits (shear force and longissimus muscle area) on BTA7. Our results offer valuable insights to further explore the potential mechanism of meat quality traits in Simmental beef cattle.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Xia et al. identified genes involved in meat quality traits in Simmental, including fat color, meat color, marbling, longissimus dorsi, and shear force.
“Xia et al. [177] identified genes involved in meat quality traits in Simmental, including fat color (TMEM236), meat color (SORL1, TRDN), marbling (S100A10, AP2S1), longissimus dorsi (KCTD16, LOC506594), and shear force (DHX15, LAMA4, PREX1, BRINP3).”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [177]
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
PLINK: a tool set for whole-genome association and population-based linkage analyses.
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., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089 · see citing works
Haploview: analysis and visualization of LD and haplotype maps
Barrett, J., Fry, B., Maller, J., & Daly, M. (2005) · Bioinform. · doi:10.1093/bioinformatics/bth457 · Cited by 15,086 · see citing works
Efficient Methods to Compute Genomic Predictions
VanRaden, P. M. (2008) · Journal of Dairy Science · doi:10.3168/jds.2007-0980 · Cited by 6,050 · see citing works
Fat deposition, fatty acid composition and meat quality: A review
Wood, J. D., Enser, M. B., Fisher, A. V., Nute, G. R., Sheard, P. R., Richardson, R. I., Hughes, S. I., & Whittington, F. (2007) · Meat Science · doi:10.1016/j.meatsci.2007.07.019 · Cited by 2,679 · see citing works
Visscher, P. M., Brown, M. A., McCarthy, M. I., & Yang, J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.11.029 · Cited by 2,425 · see citing works
GAPIT: genome association and prediction integrated tool
Lipka, A. E., Tian, F., Wang, Q., Peiffer, J. A., Li, M., Bradbury, P. J., Gore, M. A., Buckler, E. S., & Zhang, Z. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts444 · Cited by 2,239 · see citing works
Mixed linear model approach adapted for genome-wide association studies
Zhang, Z., Ersoz, E. S., Lai, C., Todhunter, R. J., Tiwari, H. K., Gore, M. A., Bradbury, P. J., Yu, J., Arnett, D. K., Ordovás, J. M., et al. (2010) · Nature Genetics · doi:10.1038/ng.546 · Cited by 2,132 · see citing works
A farewell to Bonferroni: the problems of low statistical power and publication bias
Nakagawa, S. (2004) · Behavioral Ecology · doi:10.1093/beheco/arh107 · Cited by 2,102 · see citing works
Mapping genes for complex traits in domestic animals and their use in breeding programmes
Goddard, M. E., & Hayes, B. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2575 · Cited by 1,100 · see citing works
Pleiotropy in complex traits: challenges and strategies
Solovieff, N., Cotsapas, C., Lee, P. H., Purcell, S. M., & Smoller, J. W. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3461 · Cited by 1,085 · see citing works
Yang, W., Guo, Z., Huang, C., Duan, L., Chen, G., Jiang, N., Fang, W., Feng, H., Xie, W., Lian, X., et al. (2014) · Nature Communications · doi:10.1038/ncomms6087 · Cited by 598 · see citing works
Culler, R. D., PARRISH, F. C., Smith, G. C., & Cross, H. R. (1978) · Journal of Food Science · doi:10.1111/j.1365-2621.1978.tb15263.x · Cited by 575 · see citing works
Genome-wide association study of hematological and biochemical traits in a Japanese population
Kamatani, Y., Matsuda, K., Okada, Y., Kubo, M., Hosono, N., Daigo, Y., Nakamura, Y., & Kamatani, N. (2010) · Nature Genetics · doi:10.1038/ng.531 · Cited by 501 · see citing works
McClure, M. C., Morsci, N. S., Schnabel, R. D., Kim, J. W., Yao, P., Rolf, M. M., McKay, S., Gregg, S., Chapple, R. H., Northcutt, S. L., et al. (2010) · Animal Genetics · doi:10.1111/j.1365-2052.2010.02063.x · Cited by 232 · see citing works
Yang, A., Lanari, M. C., Brewster, M., & Tume, R. K. (2002) · Meat Science · doi:10.1016/s0309-1740(01)00103-6 · Cited by 222 · see citing works
Identification of the Rac-GEF P-Rex1 as an Essential Mediator of ErbB Signaling in Breast Cancer
Sosa, M. S., López‐Haber, C., Yang, C., Wang, H., Lemmon, M. A., Busillo, J. M., Luo, J., Benovic, J., Klein–Szanto, A. J., Yagi, H., et al. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.11.029 · Cited by 211 · see citing works
Genome-Wide Association Studies for Growth and Meat Production Traits in Sheep
Zhang, L., Liu, J., Zhao, F., Ren, H., Xu, L., Lü, J., Zhang, S., Zhang, X., Wei, C., Lu, G., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066569 · Cited by 199 · see citing works
Purchas, R. W., Burnham, D. L., & Morris, S. T. (2002) · Journal of Animal Science · doi:10.2527/2002.80123211x · Cited by 183 · see citing works
Influence of cattle breed and ageing time on textural meat quality
Monsón, F., Sañudo, C., & Sierra, I. (2004) · Meat Science · doi:10.1016/j.meatsci.2004.05.011 · Cited by 173 · see citing works
Meredith, B. K., Kearney, F. J., Finlay, E. K., Bradley, D. G., Fahey, A. G., Berry, D. P., & Lynn, D. J. (2012) · BMC Genetics · doi:10.1186/1471-2156-13-21 · Cited by 164 · see citing works
Factors contributing to the incidence of dark cutting beef.
Scanga, J. A., Belk, K. E., Tatum, J. D., Grandin, T., & Smith, G. C. (1998) · Journal of Animal Science · doi:10.2527/1998.7682040x · Cited by 156 · see citing works
Genome-wide association study for intramuscular fat deposition and composition in Nellore cattle
César, A. S. M., Regitano, L. C. D. A., Mourão, G. B., Túllio, R. R., Lanna, D. P., NASSU, R. T., Mudadu, M. A., Oliveira, P. S., do Nascimento, M. L., Chaves, A. S., et al. (2014) · BMC Genetics · doi:10.1186/1471-2156-15-39 · Cited by 152 · see citing works
Agrin and Synaptic Laminin Are Required to Maintain Adult Neuromuscular Junctions
Samuel, M. A., Valdez, G., Tapia, J. C., Lichtman, J. W., & Sanes, J. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046663 · Cited by 129 · see citing works
A genome-wide association study of meat and carcass traits in Australian cattle1
Bolormaa, S., Neto, L. R. P., Zhang, Y. D., Bunch, R. J., Harrison, B. E., Goddard, M. E., & Barendse, W. (2011) · Journal of Animal Science · doi:10.2527/jas.2010-3138 · Cited by 128 · see citing works
Cardiac Hypertrophy and Impaired Relaxation in Transgenic Mice Overexpressing Triadin 1
Kirchhefer, U., Neumann, J., Baba, H. A., Begrow, F., Kobayashi, Y. M., Reinke, U., Schmitz, W. L., & Jones, L. R. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m006443200 · Cited by 105 · see citing works
Takasuga, A., Watanabe, T., MIZOGUCHI, Y., Hirano, T., Ihara, N., Takano, A., Yokouchi, K., Fujikawa, A., Chiba, K., Kobayashi, N., et al. (2007) · Mammalian Genome · doi:10.1007/s00335-006-0096-5 · Cited by 100 · see citing works
Casas, E., STONE, R. T., Keele, J. W., Shackelford, S. D., Kappes, S. M., & Koohmaraie, M. (2001) · Journal of Animal Science · doi:10.2527/2001.794854x · Cited by 92 · see citing works
Laminins affect T cell trafficking and allograft fate
Warren, K. J., Iwami, D., Harris, D. G., Bromberg, J. S., & Burrell, B. E. (2014) · Journal of Clinical Investigation · doi:10.1172/jci73683 · Cited by 86 · see citing works
Gutiérrez‐Gil, B., Williams, J. L., Homer, D., Burton, D., Haley, C., & Wiener, P. (2008) · Journal of Animal Science · doi:10.2527/jas.2008-0922 · Cited by 81 · see citing works
McClure, M. C., Ramey, H. R., Rolf, M. M., McKay, S., Decker, J. E., Chapple, R. H., Kim, J. W., Taxis, T. M., Weaber, R. L., Schnabel, R. D., et al. (2012) · Animal Genetics · doi:10.1111/j.1365-2052.2012.02323.x · Cited by 76 · see citing works
DHX15 Senses Double-Stranded RNA in Myeloid Dendritic Cells
Lu, H., Lu, N., Weng, L., Yuan, B., Liu, Y., & Zhang, Z. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1303322 · Cited by 67 · see citing works
Differential Genetic Regulation of Canine Hip Dysplasia and Osteoarthritis
Zhou, Z., Sheng, X., Zhang, Z., Zhao, K., Zhu, L., Guo, G., Friedenberg, S. G., Hunter, L. S., Berg-Foels, W. S. V., Hornbuckle, W. E., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013219 · Cited by 62 · see citing works
Genome-Wide Association Studies Using Haplotypes and Individual SNPs in Simmental Cattle
Wu, Y., Fan, H., Wang, Y., Zhang, L., Gao, X., Chen, Y., Li, J., Ren, H., & Gao, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109330 · Cited by 58 · see citing works
Xie, T., Deng, L., Mei, P., Zhou, Y., Wang, B., Zhang, J., Lin, J., Wei, Y., Zhang, X., & Xu, R. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.01.014 · Cited by 57 · see citing works
Kenne, E. M., Soehnlein, O., Genové, G., Rotzius, P., Eriksson, E. E., & Lindbom, L. (2010) · Journal of Leukocyte Biology · doi:10.1189/jlb.0110043 · Cited by 55 · see citing works
Strillacci, M. G., Frigo, E., Schiavini, F., Samorè, A. B., Canavesi, F., Vevey, M., Cozzi, M. C., Soller, M., Lipkin, E., & Bagnato, A. (2014) · BMC Genetics · doi:10.1186/s12863-014-0106-7 · Cited by 52 · see citing works
Xiong, X., Liu, X., Zhou, L., Yang, J., Yang, B. J., Ma, H., Xie, X., Huang, Y., Fang, S., Xiao, S., et al. (2015) · Mammalian Genome · doi:10.1007/s00335-015-9558-y · Cited by 52 · see citing works
Tizioto, P. C., Gromboni, C. F., Nogueira, A. R. A., de Souza, M. M., Mudadu, M. A., Tholon, P., Rosa, A. D. N., Túllio, R. R., de Medeiros, S. R., NASSU, R. T., et al. (2013) · Meat Science · doi:10.1016/j.meatsci.2013.08.001 · Cited by 50 · see citing works
Genome‐wide association study for fatty acid composition in J apanese B lack cattle
Ishii, A., Yamaji, K., Uemoto, Y., Sasago, N., Kobayashi, E., Kobayashi, N., Matsuhashi, T., Maruyama, S., Matsumoto, H., Sasazaki, S., et al. (2013) · Animal Science Journal · doi:10.1111/asj.12063 · Cited by 50 · see citing works
Liang, D.-K., Bai, X., Wu, B., Han, L., Wang, X., Yang, J., & Chen, X. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-2572 · Cited by 43 · see citing works
Kim, Y., Ryu, J., Woo, J., Kim, J. B., Kim, C. Y., & Lee, C. (2011) · Animal Genetics · doi:10.1111/j.1365-2052.2010.02156.x · Cited by 43 · see citing works
Kogelman, L. J. A., Zhernakova, D. V., Westra, H.-J., Cirera, S., Fredholm, M., Franke, L., & Kadarmideen, H. N. (2015) · Genome Medicine · doi:10.1186/s13073-015-0229-0 · Cited by 41 · see citing works
Genome-wide association study of growth and body composition traits in Brangus beef cattle
Weng, Z., Su, H., Saatchi, M., Lee, J., Thomas, M., Dunkelberger, J., & Garrick, D. J. (2015) · Livestock Science · doi:10.1016/j.livsci.2015.11.011 · Cited by 40 · see citing works
FAM5C is a soluble osteoblast differentiation factor linking muscle to bone
Tanaka, K.-I., Matsumoto, E., Higashimaki, Y., Sugimoto, T., Seino, S., & Kaji, H. (2012) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2011.12.147 · Cited by 38 · see citing works
Roeber, D. L., Cannell, R. C., Belk, K. E., Tatum, J. D., & Smith, G. C. (2000) · Journal of Animal Science · doi:10.2527/2000.7861504x · Cited by 36 · see citing works
A post-transcriptional mechanism regulates calpastatin expression in bovine skeletal muscle1
Nattrass, G. S., Cafe, L. M., McIntyre, B. L., Gardner, G. E., McGilchrist, P., Robinson, D. L., Wang, Y. H., Pethick, D. W., & Greenwood, P. L. (2014) · Journal of Animal Science · doi:10.2527/jas.2013-6978 · Cited by 35 · see citing works
Nalaila, S., Stothard, P., Moore, S. S., Li, C., & Wang, Z. (2011) · Journal of Animal Breeding and Genetics · doi:10.1111/j.1439-0388.2011.00954.x · Cited by 32 · see citing works
Ahnström, M. L., Enfält, A.-C., Hansson, I., & Lundström, K. (2005) · Meat Science · doi:10.1016/j.meatsci.2005.09.003 · Cited by 32 · see citing works
Morris, C. A., Bottema, C. D. K., Cullen, N. G., Hickey, S. M., Esmailizadeh, A., Siebert, B., & Pitchford, W. S. (2010) · Animal Genetics · doi:10.1111/j.1365-2052.2010.02058.x · Cited by 31 · see citing works
Genome-Wide Linkage Analysis and Association Study Identifies Loci for Polydactyly in Chickens
Sun, Y., Liu, R., Zhao, G., Zheng, M., Sun, Y., Yu, X., Li, P., & Wen, J. (2014) · G3 Genes Genomes Genetics · doi:10.1534/g3.114.011338 · Cited by 29 · see citing works
Yamashita, H., Goto, C., Tajima, R., Koparal, A. T., Kobori, M., Ohki, Y., Shitara, K., Narita, R., Toriyama, K., Torii, S., et al. (2007) · Development Growth & Differentiation · doi:10.1111/j.1440-169x.2007.00979.x · Cited by 25 · see citing works
Küchenmeister, U., Nürnberg, K., Fiedler, I., Kuhn, G., Nürnberg, G., & Ender, K. (1999) · European Food Research and Technology · doi:10.1007/s002170050465 · Cited by 22 · see citing works
Jin, C., Zhang, L., Xian, Y., Liu, X., Wu, Y., Zhang, F., Zhu, J., Zhang, G., Chen, C., Gong, R., et al. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.01.029 · Cited by 18 · see citing works
Investigation of the genetic architecture of a bone carcass weight QTL on BTA 6
Gutiérrez‐Gil, B., Wiener, P., Williams, J. L., & Haley, C. (2012) · Animal Genetics · doi:10.1111/j.1365-2052.2012.02322.x · Cited by 16 · see citing works
Xue, X., Zhang, M., Lin, Y., Xu, E., & Jia, J. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2013.11.042 · Cited by 15 · see citing works
Major effect of retinal short-chain dehydrogenase reductase (RDHE2) on bovine fat colour
Tian, R., Cullen, N. G., Morris, C. A., Fisher, P. J., Pitchford, W. S., & Bottema, C. D. K. (2012) · Mammalian Genome · doi:10.1007/s00335-012-9396-0 · Cited by 13 · see citing works
A preliminary study on the FAM5C expression in generalized chronic periodontitis
Ribeiro, F. V., Santos, V., Bastos, M. F., Miranda, T. S., Vieira, A., de Figueiredo, L., & Duarte, P. (2011) · Oral Diseases · doi:10.1111/j.1601-0825.2011.01855.x · Cited by 12 · see citing works
Lambert, A.-S., Grybek, V., Francou, B., Esterle, L., Bertrand, G., Bouligand, J., Guiochon‐Mantel, A., Hiéronimus, S., Voitel, D., Soskin, S., et al. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-3136 · Cited by 12 · see citing works
Cline, J. L., & Beckie, T. M. (2011) · Biological Research For Nursing · doi:10.1177/1099800411424487 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ghoreishifar, S. M., Moradi-Shahrbabak, H., Fallahi, M. H., Sarghale, A. J., Moradi-Shahrbabak, M., Abdollahi-Arpanahi, R., & Khansefid, M. (2020) · BMC Genetics · doi:10.1186/s12863-020-0824-y · Cited by 92 · see citing works
Xia, J., Fan, H., Chang, T., Xu, L., Zhang, W., Song, Y., Zhu, B., Zhang, L., Gao, X., Chen, Y., et al. (2017) · Scientific Reports · doi:10.1038/srep42048 · Cited by 80 · see citing works
An, B., Xu, L., Xia, J., Wang, X., Miao, J., Chang, T., Song, M., Ni, J., Xu, L., Zhang, L., et al. (2020) · BMC Genetics · doi:10.1186/s12863-020-0837-6 · Cited by 80 · see citing works
Network Analysis Reveals Putative Genes Affecting Meat Quality in Angus Cattle
Mateescu, R. G., Garrick, D. J., & Reecy, J. M. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00171 · Cited by 69 · see citing works
An, B., Xia, J., Chang, T., Wang, X., Xu, L., Zhang, L., Gao, X., Chen, Y., Li, J., & Gao, H. (2019) · Animal Genetics · doi:10.1111/age.12805 · Cited by 65 · see citing works
Akanno, E. C., Chen, L., Abo-Ismail, M. K., Crowley, J. J., Wang, Z., Li, C., Basarab, J. A., MacNeil, M. D., & Plastow, G. S. (2018) · Genetics Selection Evolution · doi:10.1186/s12711-018-0405-y · Cited by 60 · see citing works
Bedhane, M., van der Werf, J. H. J., Gondro, C., Duijvesteijn, N., Lim, D., Park, B., Park, M. N., Hee, R. S., & Clark, S. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01235 · Cited by 54 · see citing works
Bordbar, F., Mohammadabadi, M., Jensen, J., Xu, L., Li, J., & Zhang, L. (2022) · Animals · doi:10.3390/ani12091103 · Cited by 50 · see citing works
An, B., Xia, J., Chang, T., Wang, X., Miao, J., Xu, L., Zhang, L., Gao, X., Chen, Y., Li, J., et al. (2018) · Physiological Genomics · doi:10.1152/physiolgenomics.00022.2018 · Cited by 40 · see citing works
Pegolo, S., Cecchinato, A., Savoia, S., Stasio, L. D., Pauciullo, A., Brugiapaglia, A., Bittante, G., & Albera, A. (2019) · animal · doi:10.1017/s1751731119001812 · Cited by 41 · see citing works
Gao, G., Gao, N., Li, S., Kuang, W., Zhu, L., Jiang, W., Yu, W., Guo, J., Li, Z., Yang, C., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.614087 · Cited by 39 · see citing works
Leal‐Gutiérrez, J. D., de Rezende, F. M., Reecy, J. M., Kramer, L., Peñagaricano, F., & Mateescu, R. G. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.538640 · Cited by 35 · see citing works
Xu, L., Gao, N., Wang, Z., Xu, L., Liu, Y., Chen, Y., Xu, L., Gao, X., Zhang, L., Gao, H., et al. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00481 · Cited by 31 · see citing works
Zhu, B., Guo, P., Wang, Z., Zhang, W., Chen, Y., Zhang, L., Gao, H., Wang, Z., Gao, X., Xu, L., et al. (2019) · Animal Genetics · doi:10.1111/age.12853 · Cited by 31 · see citing works
Current research and emerging tools to improve fresh red meat quality
Gagaoua, M., Duffy, G., Álvarez, C., Burgess, C. M., Hamill, R. M., Crofton, E. C., Botineştean, C., Ferragina, A., Cafferky, J., Mullen, A. M., et al. (2022) · Irish Journal of Agricultural and Food Research · doi:10.15212/ijafr-2020-0141 · Cited by 30 · see citing works
Zhao, G., Liu, Y., Niu, Q., Xu, Z. Q., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · BMC Genomics · doi:10.1186/s12864-021-07992-6 · Cited by 28 · see citing works
Jun, M., Gao, X., Li, J., Gao, H., Wang, Z., Zhang, L., Xu, L., Gao, H., Li, H., Wang, Y., et al. (2021) · Animals · doi:10.3390/ani11123469 · Cited by 25 · see citing works
Whole genome sequencing of simmental cattle for SNP and CNV discovery
Sun, T., Pei, S., Liu, Y., Hanif, Q., Xu, H., Chen, N., Lei, C., & Yue, X. (2023) · BMC Genomics · doi:10.1186/s12864-023-09248-x · Cited by 23 · see citing works
Wang, X., Miao, J., Xia, J., Chang, T., Guangxin, E., Bao, J., Jin, S., Xu, L., Zhang, L., Zhu, B., et al. (2018) · Livestock Science · doi:10.1016/j.livsci.2018.04.001 · Cited by 22 · see citing works
da Silva, R. P., Berton, M. P., Grigoletto, L., de Carvalho, F. E., Silva, R. M. O., Peripolli, E., de Castro, L. M., Ferraz, J. B. S., Eler, J. P., Lôbo, R. B., et al. (2018) · Journal of Animal Breeding and Genetics · doi:10.1111/jbg.12373 · Cited by 19 · see citing works
Beef Cattle Genome Project: Advances in Genome Sequencing, Assembly, and Functional Genes Discovery
Gao, Z., Lu, Y., Chong, Y., Li, M., Hong, J., Wu, J., Wu, D., Xi, D., & Deng, W. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25137147 · Cited by 18 · see citing works
Genomic signatures reveal selection in Lingxian white goose
Zheng, S., Ouyang, J., Liu, S., Tang, H., Xiong, Y., Yan, X., & Chen, H. (2022) · Poultry Science · doi:10.1016/j.psj.2022.102269 · Cited by 16 · see citing works
Genetic Association Analysis of Copy Number Variations for Meat Quality in Beef Cattle
Wu, J., Wu, T., Xie, X., Niu, Q., Zhao, Z., Zhu, B., Chen, Y., Zhang, L., Gao, X., Niu, X., et al. (2023) · Foods · doi:10.3390/foods12213986 · Cited by 15 · see citing works
TECHNOLOGIES FOR IMPROVING THE USE OF DRAINAGE AND WASTE WATER
Исраилович, Т. Х., Абенович, Е. К., Nurabaev, D., Musabekov, K. K., Medeubekuly, S., & Urazbaev, G. O. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.109 · Cited by 15 · see citing works
Olzhabayeva, A. O., Baimanov, Z. N., Умбетова, Ш., Shegenbayev, A. T., & Daldabayeva, G. T. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.108 · Cited by 15 · see citing works
Fonseca, P. A. D. S., Caldwell, T., Mandell, I. B., Wood, K. M., & Cánovas, Á. (2022) · Meat Science · doi:10.1016/j.meatsci.2022.108733 · Cited by 13 · see citing works
Breed Ancestry, Divergence, Admixture, and Selection Patterns of the Simbra Crossbreed
van der Nest, M. A., Hlongwane, N. L., Hadebe, K., Chan, W.-Y., van der Merwe, N. A., Vos, L. D., Greyling, B., Kooverjee, B. B., Soma, P., Dzomba, E. F., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.608650 · Cited by 12 · see citing works
Goli, R. C., Chishi, K. G., Mahar, K., Ganguly, I., Singh, S. K., Dixit, S. P., Sruthi, O. S., Choudhary, S., Diwakar, V., Rathi, P., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-01971-7 · Cited by 12 · see citing works
Laodim, T., Elzo, M. A., Koonawootrittriron, S., Suwanasopee, T., & Jattawa, D. (2017) · Livestock Science · doi:10.1016/j.livsci.2017.10.015 · Cited by 10 · see citing works
Zhao, L., Li, F., Zhang, X., Yuan, L., Tian, H., Xu, D., Zhang, D., Zhang, Y., Zhao, Y., Huang, K., et al. (2024) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2024.08.011 · Cited by 9 · see citing works
Ni, H., Zhang, Y., Yang, Y., Yin, Y., Ren, J., Xiao, Q., Zhao, P., Hong, X., Zhang, Z., Cui, B., et al. (2023) · Animal Genetics · doi:10.1111/age.13388 · Cited by 7 · see citing works
A rapid and efficient linear mixed model approach using the score test and its application to GWAS
Chang, T., Wei, J., Wang, X., Miao, J., Xu, L., Zhang, L., Gao, X., Chen, Y., Li, J., & Gao, H. (2018) · Livestock Science · doi:10.1016/j.livsci.2018.12.012 · Cited by 7 · see citing works
Valente, D., Serra, O., Carolino, N., Gomes, J., Coelho, A. C., Espadinha, P., Pais, J., & Carolino, I. (2024) · Pathogens · doi:10.3390/pathogens13010071 · Cited by 6 · see citing works
Berton, M. P., de Lemos, M. V. A., Chud, T. C. S., Stafuzza, N. B., Kluska, S., Amorim, S. T., Lopes, L. S., Pereira, A. S. C., Bickhart, D. M., Liu, G. E., et al. (2021) · Animal Production Science · doi:10.1071/an20275 · Cited by 6 · see citing works
Riley, D. G., Miller, R. K., Nicholson, K. L., Gill, C. A., Herring, A. D., Riggs, P. K., Sawyer, J. E., Savell, J. W., & Sanders, J. O. (2019) · Livestock Science · doi:10.1016/j.livsci.2019.09.021 · Cited by 6 · see citing works
Zelenkov, A. P., Zelenkova, G. A., Tresnitskii, S., Bykadorov, P., Volgina, N., & Medvedev, A. (2020) · E3S Web of Conferences · doi:10.1051/e3sconf/202021709010 · Cited by 5 · see citing works
Zhang, F., Wang, C., Shangguan, A., Suo, X.-J., Chen, M., Tao, H., Jiang, F., Xu, T., Zhang, N., Hua, Z., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262311411 · Cited by 3 · see citing works
Genome-wide selection reveals candidate genes associated with multiple teats in Hu sheep
Zhou, W., Zhang, C.-L., Han, Z., Li, X., Bai, X., Wang, J., Yang, R., & Liu, S. (2024) · Animal Biotechnology · doi:10.1080/10495398.2024.2380766 · Cited by 4 · see citing works
Xue, Q., Du, L., Deng, T., Liang, M., Li, K., Li, Q., Qiu, S., Chen, Y., Gao, X., Xu, L., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0322026 · Cited by 4 · see citing works
Genetic structure of population of the Kalmyk breed cattle
Chimidova, N., Moiseikina, L., Ubushieva, A., Khakhlinov, A. I., & Kedeeva, O. S. (2022) · E3S Web of Conferences · doi:10.1051/e3sconf/202236303025 · Cited by 3 · see citing works
Riley, D. G., Miller, R. K., Nicholson, K. L., Gill, C. A., Herring, A. D., Riggs, P. K., Sawyer, J. E., Savell, J. W., & Sanders, J. O. (2019) · Livestock Science · doi:10.1016/j.livsci.2019.103897 · Cited by 2 · see citing works
SELECTION SIGNATURE SCANNING IN THE GENOME OF RUSSIAN LOCAL RED CATTLE BREEDS
СЕРМЯГИН, А. А., Dotsev, A. V., Abdelmanova, A. S., Turbina, I. S., Сёлкнер, И., & Зиновьева, Н. А. (2022) · Molochnoe i miasnoe skotovodstvo · doi:10.33943/mms.2022.31.66.002 · Cited by 2 · see citing works
The Influence of Genetic Markers on the Productive Qualities of Young Kalmyk Breed
Chimidova, N., Ubushieva, A., Moiseikina, L., Убушиева, В. С., Kalugina, O., & Kedeeva, O. S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-37978-9_112 · Cited by 2 · see citing works
Vos, J. D. (2018) · UpSpace Institutional Repository (University of Pretoria) · Cited by 2 · see citing works
The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution
Liu, Y., Dao, W., Gao, R., Fan, X., Yang, R., & Miao, Y. (2026) · Animals · doi:10.3390/ani16050776 · Cited by 1 · see citing works
Han, M., Rong, Y., Wang, X., Ao, X., Shang, F., Wang, Z., Su, R., Wang, R., Liu, Y., & Zhang, Y. (2026) · BMC Genomics · doi:10.1186/s12864-025-12418-8 · Cited by 1 · see citing works
Chimidova, N., Ubushieva, A., Убушиева, В. С., Khakhlinov, A. I., & Alenikova, D. (2024) · BIO Web of Conferences · doi:10.1051/bioconf/20248401054 · Cited by 1 · see citing works
Retractedda Silva, R. P., Pereira, D. A. S. C., Lôbo, R. B., & Rey, F. S. B. (2021) · Seven Editora eBooks · doi:10.11606/t.74.2021.tde-27102021-102639 · Cited by 1 · see citing works
Whole-exome sequencing identified rare variants associated with body length and girth in cattlePreprint
Chen, Y., Du, ., Liu, Y., Gao, X., Zhang, W., Xu, L., Zhang, L., Gao, H., Xu, L., Zhu, B., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/287474 · Cited by 1 · see citing works
Animal genomics and biotechnologies to improve meat quality
Ledesma, A. V., & Eenennaam, A. L. V. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85125-1.00108-3 · Cited by 1 · see citing works
Ortiz, H. G., Domingues, W. B., Kremer, F. S., & Campos, V. F. (2022) · Animal Biotechnology · doi:10.1080/10495398.2022.2154223
Kurbanbayev, A., & Stybayev, G. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.099
WAYS OF EFFECTIVE USE OF NATURAL DESERT PASTURES IN THE SOUTHERN TERRITORY OF KAZAKHSTAN
Ibragimov, T. C., Isaev, E. B., & Токтаганова, Г. Б. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.096
ALİMBEKOVA, N., Elibaeva, G. I., Kurmanova, K. T., & Yusupov, S. J. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.107
AGROCHEMICAL INDICATORS OF DARK CHESTNUT SOIL OF WEST KAZAKHSTAN REGION
Rakhimgalieva, S. Z., Esbulatova, A., & Куаналиева, М. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.102
PROTECTIVE-STIMULATING COMPOUNDS FOR PRE-SOWING TREATMENT OF GRAIN SEEDS
", L., Sarsenbayeva, G. B., A., Успанов, А., Niyazbekov, Z. B., Shokanova, А. S., & Usembayeva, Z. S. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.101
Malimbayeva, A. D., & Oshakbayeva, Z. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.103
", Kozhakhmet, A., RK, K. M., Оразымбетова, З., Amandykova, M., Искаков, К., & Dossybayev, K. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.104
Bekenova, S. S., & Zhanbyrshina, N. Z. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.100
ASSESSMENT OF THE IMPACT OF GRAZING LOAD ON PASTURES OF ATYRAU REGION
Izimova, R., Makhambetov, M., Кужамбердиева, С. Ж., Khamit, A., & Koishygulova, G. U. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.098
Nurymova, R. D., Тохетова, Л., Оспанова, Г. Ш., Zhussupova, L., & Demesinova, A. A. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.097
APPLICATION OF MATHEMATICAL METHODS IN ASSESSING THE BREEDING VALUE OF CATTLE OF THE KALMYK BREED
", L., Bissembayev, A., A., Абылгазинова, А., Seitmuratov, A., Republican Chamber for Charolais, L., & Nazarbekov, A. B. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.105
APPLICATION OF SEEDLING METHOD OF CULTIVATION USING HYDROPONICS IN PRIMARY RICE SEED PRODUCTION
Bakiruly, K., Zhalbyrov, A. E., Utebai, K., & Przhanova, I. (2023) · Bulletin of Korkyt Ata Kyzylorda University · doi:10.52081/bkaku.2023.v66.i3.095
Zhao, G., Liu, Y., Niu, Q., Xu, Z. Q., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655667
Zhao, G., Liu, Y., Niu, Q., Xu, Z. Q., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655664
Zhao, G., Liu, Y., Niu, Q., Xu, Z. Q., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655658
Alipanah, M., Valente, T. S., Abo-Ismail, M. K., Plastow, G. S., Basarab, J. A., Crowley, J. J., & Akanno, E. C. (2024) · Canadian Journal of Animal Science · doi:10.1139/cjas-2024-0008
Zhao, G., Liu, Y., Niu, Q., Zheng, X., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655676
Zhao, G., Liu, Y., Niu, Q., Zheng, X., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655670
Additional file 1 of Whole genome sequencing of simmental cattle for SNP and CNV discovery
Sun, T., Pei, S., Liu, Y., Hanif, Q., Xu, H., Chen, N., Lei, C., & Yue, X. (2024) · Figshare · doi:10.6084/m9.figshare.26580683
An, B., Xu, L., Xia, J., Wang, X., Miao, J., Chang, T., Song, M., Ni, J., Xu, L., Zhang, L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.11986479
Zhao, G., Liu, Y., Niu, Q., Zheng, X., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655685
An, B., Xu, L., Xia, J., Wang, X., Miao, J., Chang, T., Song, M., Ni, J., Xu, L., Zhang, L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.11986500
An, B., Xu, L., Xia, J., Wang, X., Miao, J., Chang, T., Song, M., Ni, J., Xu, L., Zhang, L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.11986491
Zhao, G., Liu, Y., Niu, Q., Zheng, X., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655682
Zhao, G., Liu, Y., Niu, Q., Zheng, X., Zhang, T., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655679
Additional file 2 of Whole genome sequencing of simmental cattle for SNP and CNV discovery
Sun, T., Pei, S., Liu, Y., Hanif, Q., Xu, H., Chen, N., Lei, C., & Yue, X. (2024) · Figshare · doi:10.6084/m9.figshare.26580686
Welch, H. C. E. (2026) · Cellular Signalling · doi:10.1016/j.cellsig.2026.112566
- Authors
- Xia, J., Qi, X., Wu, Y., Zhu, B., Xu, L., Zhang, L., Gao, X., Chen, Y., Li, J., & Gao, H.
- Affiliations
- Chinese Academy of Agricultural Sciences (CN)
- Corresponding author
- Li, Junya
- Gao, Huijiang
- Venue
- Mammalian Genome
- Published
- 2016-04-28
- Volume
- 27
- Issue
- 5-6
- Pages
- 246-255
- ISSN
- 0938-8990 (ISSN-L)
- 1432-1777
- OpenAlex
- W2342961460
- Cited by
- 77
- References
- 60
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 8 · 2023: 18 · 2022: 8 · 2021: 11 · 2020: 9 · 2019: 7 · 2018: 7 · 2017: 3
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Mammalian Genome (publishedVersion)
- PubMed (publishedVersion)
- Funders
- the 12th "Five-Year" National Science and Technology Support Project (2011BAD28B04)
- Basic Research Fund Program, the National High Technology Research and Development Program of China (863 Program 2013AA102505-4)
- Chinese Academy of Agricultural Sciences Fundamental Research Budget Increment Projects (2013ZL031 and 2014ZL006)
- Chinese Academy of Agricultural Sciences Foundation (2014ywf-yb-4)
- Beijing Natural Science Foundation (6154032)
- the National Natural Science Foundations of China (31472079, 31372294, 31402039 and 31201774)
- Cattle Breeding Innovative Research Team (cxgc-ias-03)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Meat and Animal Product Quality
- Keywords
- meat quality, Simmental cattle, beef cattle, single nucleotide polymorphisms, candidate genes, fat color, meat color, marbling score, loin eye area, shear force, haplotype blocks, genetic association
- MeSH terms
- Animals, Breeding, Cattle, Genotype, Haplotypes, Meat, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
