Whole Genome Scan and Selection Signatures for Climate Adaption in Yanbian Cattle
Open accessAbstract
Yanbian cattle is inhabitant of North of China, exhibiting many phenotypic features, such as long, dense body hair and abundant intramuscular fat, designed to combat the extreme cold climate adaption. In the current study, we studied the cold tolerance of nine Yanbian cattle by whole genome resequencing and compared with African tropical cattle, N’Dama, as a control group. Yanbian cattle was aligned to the Bos taurus reference genome (ARS-UCD1.2) yielding an average of 10.8 fold coverage. The positive selective sweep analysis for the cold adaption in Yanbian cattle were analyzed using Composite Likelihood Ratio (CLR) and nucleotide diversity (θπ), resulting in 292 overlapped genes. . The strongest selective signal was found on chromosome 16 with potential mutation in CORT gene, a regulatory gene of primary hormone in the hypothalamic-pituitary-adrenal (HPA) axis, is reported to be associated with the cold stress, represented 4 missense mutations (c.269C>T, p.Lys90Ile; c.251A>G, p.Glu84Gly; c.112C>T, p.Pro38Ser; c.86G>A, p.Pro29His). Meanwhile another gene on chromosome 6, showed significantly higher selective sweep signals for a cold adapted trait for hair follicle and length development, FGF5 (fibroblast growth factor 5) with a missense mutation (c.191C>T, p.Ser64Phe). Moreover, cold adapted Yanbian cattle was statistically compared with the hot adapted N’Dama cattle, using XP-CLR, Fst and θπ ratio, yielding 487, 924 and 346 genes respectively. Amongst the 12 overlapped genes, (CD36) (c.638A>G, p.Lys 213Arg) involved in fat digestion and absorption plays an important role in membrane transport of long-chain fatty acid and its expression could increase in cold exposure. Henceforth, Our study provides a novel genetic insights into the cold climate adaptation of Yanbian cattle and identified three candidate genes (CORT, and FGF5 and CD36), which can add to an understanding of the cold climate adaptation of Yanbian cattle.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
In Yanbian cattle of northeastern China, genes related to cold stress (CORT), hair follicle and hair growth (FGF5), and lipid metabolism (CD36) were selected.
“In Yanbian cattle of northeastern China, genes related to cold stress (CORT), hair follicle and hair growth (FGF5), and lipid metabolism (CD36) were selected [93].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [93]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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 · see citing works
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895 · see citing works
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 16,008 · see citing works
Brown Adipose Tissue: Function and Physiological Significance
CANNON, B., & NEDERGAARD, J. (2004) · Physiological Reviews · doi:10.1152/physrev.00015.2003 · Cited by 6,433 · see citing works
Brown adipose tissue activity controls triglyceride clearance
Bartelt, A., Bruns, O. T., Reimer, R., Hohenberg, H., Ittrich, H., Peldschus, K., Kaul, M. G., Tromsdorf, U. I., Weller, H., Waurisch, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2297 · Cited by 1,608 · see citing works
Assessment of stress during handling and transport.
Grandin, T. (1997) · Journal of Animal Science · doi:10.2527/1997.751249x · Cited by 1,151 · see citing works
Genomic scans for selective sweeps using SNP dataPreprint
Nielsen, R., Williamson, S., Kim, Y., Hubisz, M. J., Clark, A. G., & Bustamante, C. D. (2005) · Genome Research · doi:10.1101/gr.4252305 · Cited by 1,024 · see citing works
Population differentiation as a test for selective sweepsPreprint
Chen, H., Patterson, N. J., & Reich, D. (2010) · Genome Research · doi:10.1101/gr.100545.109 · Cited by 888 · see citing works
Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
Daetwyler, H. D., Capitan, A., Pausch, H., Stothard, P., van Binsbergen, R., Brøndum, R. F., Liao, X., Djari, A., Rodriguez, S. C., Grohs, C., et al. (2014) · Nature Genetics · doi:10.1038/ng.3034 · Cited by 838 · see citing works
Exploration of the hypothalamic–pituitary–adrenal function as a tool to evaluate animal welfare
Mormède, P., Andanson, S., Aupérin, B., Beerda, B., Guemene, D. D., Malmkvist, J., Manteca, X., Manteuffel, G., Prunet, P., van Reenen, C. G., et al. (2007) · Physiology & Behavior · doi:10.1016/j.physbeh.2006.12.003 · Cited by 821 · see citing works
Glatz, J. F. C., Luiken, J. J. F. P., & Bonen, A. (2010) · Physiological Reviews · doi:10.1152/physrev.00003.2009 · Cited by 755 · see citing works
Detecting Natural Selection in Genomic Data
Vitti, J. J., Grossman, S. R., & Sabeti, P. C. (2013) · Annual Review of Genetics · doi:10.1146/annurev-genet-111212-133526 · Cited by 694 · see citing works
Nonshivering thermogenesis and its adequate measurement in metabolic studies
Cannon, B., & Nedergaard, J. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.050989 · Cited by 677 · cited 1× · see citing works
“To protect tissues from cold damage, the body adopts different processes, which increases warm blood flow near the surface of the skin (Cannon and Nedergaard, 2011).”
BackgroundThe Influence of Physical Conditions in the Genesis of Species
Allen, J. A. (1907) · Scientific American · doi:10.1038/scientificamerican05181907-26226supp · Cited by 463 · see citing works
Chen, N., Cai, Y., Chen, Q., Li, R., Wang, K., Huang, Y., Hu, S., Huang, S., Zhang, H., Zheng, Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04737-0 · Cited by 403 · see citing works
Self-citationGenome-wide scans for footprints of natural selection
Oleksyk, T. K., Smith, M. W., & O'Brien, S. J. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0219 · Cited by 340 · see citing works
Karim, L., Takeda, H., Li, L., Druet, T., Arias, J., Baurain, D., Cambisano, N., Davis, S. R., Farnir, F., Grisart, B., et al. (2011) · Nature Genetics · doi:10.1038/ng.814 · Cited by 324 · see citing works
The Genome Landscape of Indigenous African Cattle
Kim, J., Hanotte, O., Mwai, O. A., Dessie, T., Bashir, S., Diallo, B., Agaba, M., Kim, K., Kwak, W., Sung, S., et al. (2017) · Genome biology · doi:10.1186/s13059-017-1153-y · Cited by 271 · see citing works
FGF5 is a crucial regulator of hair length in humans
Higgins, C. A., Petukhova, L., Harel, S., Ho, Y. Y., Drill, E. N., Shapiro, L. S., Wajid, M., & Christiano, A. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402862111 · Cited by 192 · see citing works
Mapping signatures of positive selection in the genome of livestock
Qanbari, S., & Simianer, H. (2014) · Livestock Science · doi:10.1016/j.livsci.2014.05.003 · Cited by 189 · see citing works
Jeong, J. Y., Kwon, E.-G., Im, S. K., Seo, K.-S., & Baik, M. (2012) · Journal of Animal Science · doi:10.2527/jas.2011-4753 · Cited by 156 · see citing works
DRONJAK, S., GAVRILOVI, L., FILIPOVI, D., & RADOJI, M. (2004) · Physiology & Behavior · doi:10.1016/j.physbeh.2004.01.011 · Cited by 142 · see citing works
Carbonic anhydrase-related protein CA10 is an evolutionarily conserved pan-neurexin ligand
Sterky, F. H., Trotter, J. H., Lee, S., Recktenwald, C. V., Du, X., Zhou, B., Zhou, P., Schwenk, J., Fakler, B., & Südhof, T. C. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1621321114 · Cited by 109 · see citing works
Mutations within the FGF5 gene are associated with hair length in cats
Drögemüller, C., Rüfenacht, S., Wichert, B. A., & Leeb, T. (2007) · Animal Genetics · doi:10.1111/j.1365-2052.2007.01590.x · Cited by 108 · see citing works
Hangalapura, B. N., Nieuwland, M. G. B., Buyse, J. G., Kemp, B., & Parmentier, H. K. (2004) · Poultry Science · doi:10.1093/ps/83.10.1644 · Cited by 99 · see citing works
CD36 is indispensable for thermogenesis under conditions of fasting and cold stress
Putri, M., Syamsunarno, M. R. A. A., Iso, T., Yamaguchi, A., Hanaoka, H., Sunaga, H., Koitabashi, N., Matsui, H., Yamazaki, C., Kameo, S., et al. (2015) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.12.124 · Cited by 79 · see citing works
Choi, J.-W., Choi, B., Lee, S. H., Lee, S. S., Kim, H., Yu, D., Chung, W., Lee, K., Chai, H., Cho, Y.-M., et al. (2015) · Molecules and Cells · doi:10.14348/molcells.2015.0019 · Cited by 75 · see citing works
Allelic heterogeneity of FGF5 mutations causes the long-hair phenotype in dogs
Dierks, C., Mömke, S., Philipp, U., & Distl, O. (2013) · Animal Genetics · doi:10.1111/age.12010 · Cited by 68 · see citing works
A large and diverse collection of bovine genome sequences from the Canadian Cattle Genome Project
Stothard, P., Liao, X., Arantes, A. S., Pauw, M. D., Coros, C. J., Plastow, G. S., Sargolzaei, M., Crowley, J. J., Basarab, J. A., Schenkel, F. S., et al. (2015) · GigaScience · doi:10.1186/s13742-015-0090-5 · Cited by 46 · see citing works
Deciphering the Genetic Blueprint behind Holstein Milk Proteins and Production
Lee, H. J., Kim, J., Lee, T., Son, J.-K., Yoon, H., Baek, K., Jeong, J. Y., Cho, Y.-M., Lee, K., Yang, B., et al. (2014) · Genome Biology and Evolution · doi:10.1093/gbe/evu102 · Cited by 46 · see citing works
Choi, J.-W., Liao, X., Park, S., Jeon, H.-J., Chung, W., Stothard, P., Park, Y.-S., Lee, J., Lee, K., Kim, S., et al. (2013) · Molecules and Cells · doi:10.1007/s10059-013-2347-0 · Cited by 38 · see citing works
Cold adaptation and the seasonal distribution of acute myocardial infarction
Lorenzo, F. (1999) · QJM · doi:10.1093/qjmed/92.12.747 · Cited by 38 · see citing works
Ji, S., Yang, R., Lu, C., Qiu, Z., Yan, C., & Zhao, Z. (2014) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.2013.13422 · Cited by 33 · see citing works
Prodanović, R., Korićanac, G., Vujanac, I., Djordjevic, A. D., Pantelić, M., Romić, S., Stanimirović, Z., & Kirovski, D. (2016) · Research in Veterinary Science · doi:10.1016/j.rvsc.2016.04.007 · Cited by 26 · see citing works
Xin, J., Zhang, L., Li, Z.-Z., Liu, X., Jin, H., & Yan, C. (2010) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.2011.90407 · Cited by 22 · see citing works
A comparison of stress hormone concentrations at slaughter in Nguni, Bonsmara and Angus steers
Ndlovu, T., Chimonyo, M., Okoh, A. I., & Muchenje, V. (2008) · Global Journal of Plant and Soil Sciences · doi:10.5897/ajar.9000006 · Cited by 20 · see citing works
Genetic diversity of Y-short tandem repeats in chinese native cattle breeds
Xin, Y. P., Zan, L., Liu, Y., Tian, W. Q., Wang, H. B., Cheng, G., Li, A., & Yang, W. C. (2014) · Genetics and Molecular Research · doi:10.4238/2014.november.14.1 · Cited by 2 · see citing works
Flagged first, then by citations
1 of the 38 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Niu, Q., Zhang, T., Xu, L., Wang, Z., Wang, Z., Zhu, B., Zhang, L., Gao, H., Song, J., Li, J., et al. (2021) · Genomics · doi:10.1016/j.ygeno.2021.07.025 · Cited by 52 · see citing works
Wanjala, G., Astuti, P. K., Bagi, Z., Kichamu, N., Strausz, P., & Kusza, S. (2022) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2022.103505 · Cited by 52 · see citing works
Zhang, S., Yao, Z., Li, X., Zhang, Z., Liu, X., Yang, P., Chen, N., Xia, X., Lyu, S., Shi, Q., et al. (2022) · BMC Genomics · doi:10.1186/s12864-022-08645-y · Cited by 51 · see citing works
Self-citationGenome-Wide Assessment of Runs of Homozygosity in Chinese Wagyu Beef Cattle
Zhao, G., Zhang, T., Liu, Y., Wang, Z., Xu, L., Zhu, B., Gao, X., Zhang, L., Gao, H., Liu, G. E., et al. (2020) · Animals · doi:10.3390/ani10081425 · Cited by 36 · see citing works
Huang, N., Zhao, L., Wang, J., Jiang, Q., Ju, Z., Wang, X., Yang, C., Gao, Y., Wei, X., Zhang, Y., et al. (2023) · Journal of Animal Science · doi:10.1093/jas/skad006 · Cited by 26 · see citing works
Genetic Diversity and Selective Signature in Dabieshan Cattle Revealed by Whole-Genome Resequencing
Guan, X., Zhao, S., Xiang, W., Jin, H., Chen, N., Lei, C., Jia, Y., & Xu, L. (2022) · Biology · doi:10.3390/biology11091327 · Cited by 25 · see citing works
Self-citationDetection of selection signatures in Limousin cattle using whole‐genome resequencing
Mariadassou, M., Ramayo‐Caldas, Y., Charles, M., Féménia, M., Renand, G., & Rocha, D. (2020) · Animal Genetics · doi:10.1111/age.12982 · Cited by 21 · see citing works
Selection signatures of Qinchuan cattle based on whole-genome sequences
Wang, S., Raza, S. H. A., Zhang, K., Mei, C., Alamoudi, M. O., Aloufi, B. H., Alshammari, A. M., & Zan, L. (2022) · Animal Biotechnology · doi:10.1080/10495398.2022.2033252 · Cited by 18 · see citing works
Genomic Diversity and Selection Signatures for Weining Cattle on the Border of Yunnan-Guizhou
Liu, Y., Cheng, H., Wang, S., Luo, X., Ma, X., Sun, L., Chen, N., Zhang, J., Qu, K., Wang, M., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.848951 · Cited by 18 · see citing works
Self-citationOspina, A. M. T., Ríos, A. C. H., Schettini, G. P., Aristizabal, V. H. V., dos Santos, W. B., Ortíz, C. A. Z., & Morea, E. G. O. (2022) · Genes · doi:10.3390/genes13071232 · Cited by 17 · see citing works
Potential Genetic Markers Associated with Environmental Adaptability in Herbivorous Livestock
Liu, X., Peng, Y., Zhang, X., Chen, W., Chen, Y., Wei, L., Zhu, Q., Khan, M. Z., & Wang, C. (2025) · Animals · doi:10.3390/ani15050748 · Cited by 15 · see citing works
Jin, L., Qu, K., Hanif, Q., Zhang, J., Liu, J., Chen, N., Quji, S., Lei, C., & Huang, B. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.833475 · Cited by 14 · see citing works
Self-citationAssessing Genomic Diversity and Productivity Signatures in Dianzhong Cattle by Whole-Genome Scanning
Zhang, X., Qu, K., Jia, P., Zhang, J., Liu, J., Lei, C., & Huang, B. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.719215 · Cited by 14 · see citing works
Self-citationGenomic and transcriptomic analyses reveal genetic adaptation to cold conditions in the chickens
Zhao, X., Zhang, J., Wang, H., Li, H., Qu, C., Wen, J., Zhang, X., Zhu, T., Nie, C., Li, X., et al. (2022) · Genomics · doi:10.1016/j.ygeno.2022.110485 · Cited by 14 · see citing works
Guo, S.-K., Wu, X.-Y., Pei, J., Wang, X.-D., Bao, P., Xiong, L., Chu, M., Liang, C.-N., Yan, P., & Guo, X. (2021) · Electronic Journal of Biotechnology · doi:10.1016/j.ejbt.2021.07.006 · Cited by 14 · see citing works
Li, S., Lei, H., Li, J., Sun, A., Ahmed, Z., Duan, H., Chen, L., Zhang, B., Lei, C., & Yi, K. (2023) · Animal Genetics · doi:10.1111/age.13305 · Cited by 11 · see citing works
Self-citationYudin, N. S., Yurchenko, A. A., & Larkin, D. M. (2021) · Vavilov Journal of Genetics and Breeding · doi:10.18699/vj21.023 · Cited by 10 · see citing works
Zhang, W., Liu, L., Zhou, M., Su, S., Dong, L., Meng, X., Li, X., & Wang, C. (2022) · Animals · doi:10.3390/ani13010013 · Cited by 9 · see citing works
Wang, Q., Lu, Y. C., Li, M., Gao, Z., Li, D., Gao, Y., Deng, W., & Wu, J. (2025) · Animals · doi:10.3390/ani15060831 · Cited by 10 · see citing works
Feng, J., Zhu, W., Shi, H., Peng, D., Zang, L., Wang, Y., ZhaXi, L., BaiMa, J., Amevor, F. K., Wang, X., et al. (2023) · Genes · doi:10.3390/genes14091672 · Cited by 8 · see citing works
Whole‐genome resequencing uncovers diversity and selective sweep in Kazakh cattle
Xu, L., Zhang, Y., Guo, Y., Chen, Q., Zhang, M., Chen, H., Geng, J., & Huang, X. (2024) · Animal Genetics · doi:10.1111/age.13425 · Cited by 7 · see citing works
Wang, J., Suo, J., Yang, R., Zhang, C.-L., Li, X., Han, Z., Zhou, W., Liu, S., & Gao, Q. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1281601 · Cited by 7 · see citing works
Yang, X., Liu, C., Wang, Q., Cui, E., Piao, H., Wen, Y., Li, G., & Jin, Q. (2025) · Foods · doi:10.3390/foods14020300 · Cited by 6 · see citing works
Pallotti, S., Garcia, A. F. R., Deiana, G., Antonini, M., Zhou, J., Sun, H., Renieri, C., & Napolioni, V. (2025) · BMC Genomics · doi:10.1186/s12864-025-12133-4 · Cited by 6 · see citing works
Wei, X., Li, S., Yan, H., Chen, S., Li, R., Zhang, W., Chao, S., Guo, W., Li, W., Ahmed, Z., et al. (2024) · Animal Genetics · doi:10.1111/age.13417 · Cited by 6 · see citing works
Self-citationKim, H. J., Moghaddar, N., Clark, S., van der Werf, J. H. J., & Heras‐Saldana, S. D. L. (2025) · PLoS ONE · doi:10.1371/journal.pone.0324034 · Cited by 5 · see citing works
Li, S., Liu, L., Ahmed, Z., Wang, F., Lei, C., & Sun, F. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1435793 · Cited by 5 · see citing works
Self-citationWang, T., Zhong, R., & Zhou, D. (2020) · Agriculture · doi:10.3390/agriculture10110571 · Cited by 5 · see citing works
Le stress thermique environnemental dans l’espèce bovine : 4. Moyens de lutte
Gherissi, D. E., Cabaraux, J.-F., Hornick, J., & Hanzen, C. (2025) · Revue d’élevage et de médecine vétérinaire des pays tropicaux · doi:10.19182/remvt.37495 · Cited by 4 · see citing works
Comparison of microbiota structure in reproductive tract of Yanbian cattle and Yanhuang cattle
Teng, Y., Feng, S., Gu, Z., Hou, C., Xu, H., Li, Z., Zhao, J., Fang, Y., Ma, X., Liu, H., et al. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1419914 · Cited by 4 · see citing works
Significance of Local Livestock Genetic Resources in the Context of Global Food Security –A Review
Barłowska, J., Sawicka-Zugaj, W., Janczarek, I., Kasprzak-Filipek, K., & Chabuz, W. (2025) · Annals of Animal Science · doi:10.2478/aoas-2025-0029 · Cited by 4 · see citing works
Genome‐wide analysis of genetic diversity and selection signatures in Fuzhou cattle
Wang, N., Li, Y., Li, X., Li, H., Bian, C., Chen, X., Jafari, H., Chen, N., & Lei, C. (2025) · Animal Genetics · doi:10.1111/age.70015 · Cited by 4 · see citing works
Self-citationDetection of Selection Signatures in Anqing Six-End-White Pigs Based on Resequencing Data
Chen, Y., Wu, X., Wang, J., Hou, Y., Liu, Y., Wang, B., Hu, X., Zheng, X., Zhang, X., Ding, Y., et al. (2022) · Genes · doi:10.3390/genes13122310 · Cited by 4 · see citing works
Collingbourne, S. J. (2019) · Open Access at Essex (University of Essex) · Cited by 4 · see citing works
Exploring genetic diversity and genomic inbreeding across local beef cattle breeds
Proto, G. G., Mancin, E., Quaglia, A., Sbarra, F., Mantovani, R., & Sartori, C. (2025) · animal · doi:10.1016/j.animal.2025.101565 · Cited by 3 · see citing works
De novo genome assembly of Yanbian cattle using PacBio HiFi and Hi-C combined with RNA-seq data
Fang, W., Cao, Y., Liu, Y., Wu, J., Li, M., Xiao, C., Li, X., Lv, A., Zhao, Y., & Cao, Y. (2025) · Scientific Data · doi:10.1038/s41597-025-05689-z · Cited by 3 · see citing works
Self-citationIgoshin, A. V., Romashov, G. A., Yurchenko, A. A., Yudin, N. S., & Larkin, D. M. (2024) · Animals · doi:10.3390/ani14142059 · Cited by 2 · see citing works
Genomic signatures of selection in drug metabolizing genes across cattle populations
Nayak, S. S., Panigrahi, M., Vaidhya, A., Prakash, G. R., Parida, S., & Dutt, T. (2025) · Mammalian Genome · doi:10.1007/s00335-025-10139-7 · Cited by 2 · see citing works
Dai, W., Zhu, B., van Tuinen, M., Zhu, T., Shang, D., Almeida, P., Liang, P., Ullah, H., & Ban, L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232012245 · 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
Wanjala, G., Pius, L. O., Strausz, P., & Kusza, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40851 · Cited by 1 · see citing works
Baek, J., Yan, C., Gao, Q., Son, S., Lee, H.-K., Shin, D., & Yan, C. (2025) · PLoS ONE · doi:10.1371/journal.pone.0331448 · Cited by 1 · see citing works
Молекулярные маркеры адаптации к холодному климату у крупного рогатого скота
Н.С, Ю. (2023) · Письма в Вавиловский журнал генетики и селекции · doi:10.18699/lettersvj-2023-9-02 · Cited by 2 · see citing works
Genome-wide Association Study Reveals the IBSP Locus Affect Ear Size in CattlePreprint
Shen, J., Xia, X., Chen, Q., Zhang, F., Huang, B., Hanif, Q., Li, F., Chen, N., Qu, K., Liu, J., et al. (2020) · Research Square · doi:10.21203/rs.3.rs-107750/v1
Self-citationVahedi, S. M., Ardestani, S. S., Banabazi, M. H., & Clark, K. F. (2024) · Scientific Reports · doi:10.1038/s41598-023-51039-7
Zhang, S., Yao, Z. H., Li, X., Zhang, Z., Liu, X., Yang, P., Chen, N., Xia, X., Lyu, S., Shi, Q., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20113949
Self-citationGenomic Diversity and Selection Signatures for Zaosheng CattlePreprint
Wang, Y., Xu, J., Shi, F., Guo, H., Gao, B., Yang, J., Gu, L., Yang, D., Zhang, F., Gao, D., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6059907/v1
Genomic Diversity and Selection Signatures for Zaosheng Cattle
Xu, J., Wang, Y., Shi, F., Guo, H., Gao, B., Yang, J., Gu, L., Yang, D., Zhang, F., Gao, D., et al. (2025) · Biology · doi:10.3390/biology14060623
Zhang, S., Yao, Z., Li, X., Zhang, Z., Liu, X., Yang, P., Chen, N., Xia, X., Lyv, S., Shi, Q., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20113946
Self-citationSurati, U., Niranjan, S. K., Pundir, R. K., Koul, Y., Vohra, V., Gandham, R. K., & Kumar, A. (2026) · Genome · doi:10.1139/gen-2025-0011
Yang, H. J., Liang, Q., Su, P., Andersson, G., Bongcam‐Rudloff, E., Rouzi, M., Jiang, L., Han, J., & Yang, M. (2026) · Poultry Science · doi:10.1016/j.psj.2026.106845
Sharma, S., Alex, R., Das, P., Sahana, V. N., Pal, P., Gowane, G. R., Mondal, G., & Vohra, V. (2026) · Tropical Animal Health and Production · doi:10.1007/s11250-026-05082-x
Lyu, Y., Zhu, Z., Zhao, B., Ren, Z., Zhou, M., Yu, J., Ding, H., Liu, H., Fang, Y., Zhao, J., et al. (2026) · Biology · doi:10.3390/biology15161356
Brunson, K., Witt, K. E., MONGE, S., Williams, S. R., Singleton, R. R., Peede, D., Odsuren, D., Bukhchuluun, D., Cameron, A., Szpak, P., et al. (2026) · iScience · doi:10.1016/j.isci.2026.117409
- Authors
- Shen, J., Hanif, Q., Cao, Y., Yu, Y., Lei, C., Zhang, G., & Zhao, Y.
- Affiliations
- Jilin Academy of Agricultural Sciences (CN)
- National Institute for Biotechnology and Genetic Engineering (PK)
- Northwest A&F University (CN)
- Corresponding author
- Zhao, Yumin
- Venue
- Frontiers in Genetics
- Publisher
- Frontiers Media SA
- Published
- 2020-02-25
- Volume
- 11
- Pages
- 94-94
- ISSN
- 1664-8021 (ISSN-L)
- PMC
- PMC7059643
- OpenAlex
- W3008541876
- Cited by
- 53
- References
- 38
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 7 · 2023: 5 · 2022: 12 · 2021: 4 · 2020: 4 · 2019: 1
- FWCI
- 3.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (CARS-37, 31872317)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Effects of Environmental Stressors on Livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- Yanbian cattle, cold climate adaptation, positive selection signatures, whole-genome resequencing, N'Dama cattle, FGF5, CD36, hair follicle development, intramuscular fat, cold tolerance, candidate genes
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
