Whole-Genome Resequencing Points to Candidate DNA Loci Affecting Body Temperature under Cold Stress in Siberian Cattle Populations
Open accessAbstract
Despite the economic importance of creating cold resilient cattle breeds, our knowledge of the genetic basis of adaptation to cold environments in cattle is still scarce compared to information on other economically important traits. Herein, using whole-genome resequencing of animals showing contrasting phenotypes on temperature maintenance under acute cold stress combined with the existing SNP (single nucleotide polymorphism) functional annotations, we report chromosomal regions and candidate SNPs controlling body temperature in the Siberian cattle populations. The SNP ranking procedure based on regional FST calculations, functional annotations, and the allele frequency difference between cold-tolerant and cold-sensitive groups of animals pointed to multiple candidate genes. Among these, GRIA4, COX17, MAATS1, UPK1B, IFNGR1, DDX23, PPT1, THBS1, CCL5, ATF1, PLA1A, PRKAG1, and NR1I2 were previously related to thermal adaptations in cattle. Other genes, for example KMT2D and SNRPA1, are known to be related to thermogenesis in mice and cold adaptation in common carp, respectively. This work could be useful for cattle breeding strategies in countries with harsh climates, including the Russian Federation.
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Genes related to cold/heat stress response (DDX23, PPT1) and thermogenesis (GRIA4, HBS1) were found to be under selection.
“Additionally, genes related to cold/heat stress response (DDX23, PPT1) and thermogenesis (GRIA4, HBS1) were found to be under selection [90].”
From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [90]
The Discussion (page unavailable) identifies DDX23 and GRIA4 among top-ranked candidate SNP results and links THBS1—not HBS1—to a pathway involved in adaptive thermogenesis. It does not identify GRIA4 as a thermogenesis gene or establish that these genes were under selection; its evidence is a ranking of candidate variants associated with temperature maintenance. The retrieved non-abstract passages do not establish the stated cold/heat-stress role for PPT1. (LLM, conf=0.88)
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Cites
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 · see citing works
ESTIMATING F -STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb05657.x · Cited by 18,909 · 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
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,216 · see citing works
Estimating F-Statistics for the Analysis of Population Structure
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.2307/2408641 · Cited by 11,023 · see citing works
Adaptive thermogenesis in adipocytes: Is beige the new brown?
Wu, J., Cohen, P., & Spiegelman, B. M. (2013) · Genes & Development · doi:10.1101/gad.211649.112 · Cited by 828 · see citing works
Gracey, A. Y., Fraser, E. J., Li, W., Fang, Y., Taylor, R. R., Rogers, J., Brass, A., & Cossins, A. R. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403627101 · Cited by 460 · see citing works
Hu, Z., Park, C. A., & Reecy, J. M. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1084 · Cited by 450 · see citing works
Mottillo, E. P., Desjardins, E. M., Crane, J. D., Smith, B. K., Green, A. E., Ducommun, S., Henriksen, T. I., Rebalka, I. A., Razi, A., Sakamoto, K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.06.006 · Cited by 323 · see citing works
Worthmann, A., John, C., Rühlemann, M. C., Baguhl, M., Heinsen, F.-A., Schaltenberg, N., Heine, M., Schlein, C., Evangelakos, I., Mineo, C., et al. (2017) · Nature Medicine · doi:10.1038/nm.4357 · Cited by 318 · see citing works
Adaptations to Climate in Candidate Genes for Common Metabolic Disorders
Hancock, A. M., Witonsky, D., GORDON, A. S., Eshel, G., Pritchard, J. K., Coop, G., & Rienzo, A. D. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.0040032 · Cited by 267 · see citing works
Cold Stress as it Affects Animal Production
Young, B. A. (1981) · Journal of Animal Science · doi:10.2527/jas1981.521154x · Cited by 232 · see citing works
Walsh, I. M., Bowman, M. A., Santarriaga, I. F. S., Rodríguez, A., & Clark, P. L. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1907126117 · Cited by 223 · see citing works
Librado, P., Sarkissian, C. S. I. D., Ermini, L., Schubert, M., Jónsson, H., Albrechtsen, A., Fumagalli, M., Yang, M. A., Gamba, C., Seguin‐Orlando, A., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1513696112 · Cited by 177 · see citing works
Xiang, R., van den Berg, I., MacLeod, I. M., Hayes, B. J., Prowse-Wilkins, C., Wang, M., Bolormaa, S., Liu, Z., Rochfort, S. J., Reich, C. M., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1904159116 · Cited by 171 · see citing works
Principles of cattle production
(2018) · CABI Publishing eBooks · doi:10.1079/9781786392701.0000 · Cited by 165 · see citing works
Seasonal variation in expression pattern of genes under HSP70
Banerjee, D. K., Upadhyay, R. C., Chaudhary, U. B., Kumar, R., Singh, S., Ashutosh, A., Jagan Mohanarao, G., Polley, S., Mukherjee, A., Das, T. K., et al. (2013) · Cell Stress and Chaperones · doi:10.1007/s12192-013-0469-0 · Cited by 121 · see citing works
Yurchenko, A. A., Daetwyler, H. D., Yudin, N., Schnabel, R. D., Vander Jagt, C. J., Soloshenko, V., Lhasaranov, B., Popov, R., Taylor, J. F., & Larkin, D. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-31304-w · Cited by 117 · see citing works
In-depth annotation of SNPs arising from resequencing projects using NGS-SNP
Grant, J. R., Arantes, A. S., Liao, X., & Stothard, P. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr372 · Cited by 115 · see citing works
Srikanth, K., Kwon, A., Lee, E., & Chung, H. (2016) · Cell Stress and Chaperones · doi:10.1007/s12192-016-0739-8 · Cited by 115 · see citing works
Beef cattle body temperature during climatic stress: a genome-wide association study
Howard, J., Kachman, S. D., Snelling, W. M., Pollak, E. J., Ciobanu, D. C., Kuehn, L. A., & Spangler, M. L. (2013) · International Journal of Biometeorology · doi:10.1007/s00484-013-0773-5 · Cited by 102 · see citing works
Cold adaptation in pigs depends on UCP3 in beige adipocytes
Lin, J., Cao, C., Tao, C., Ye, R., Dong, M., Zheng, Q., Wang, C., Jiang, X., Qin, G., Yan, C., et al. (2017) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjx018 · Cited by 101 · see citing works
Rim, J. S., & Kozak, L. P. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m108866200 · Cited by 95 · see citing works
Weldenegodguad, M., Popov, R. G., Pokharel, K., Ammosov, I., Ming, Y., Ivanova, Z., & Kantanen, J. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2018.00728 · Cited by 95 · see citing works
New Loci and Neuronal Pathways for Resilience to Heat Stress in Cattle
Cheruiyot, E. K., Haile-Mariam, M., Cocks, B. G., MacLeod, I. M., Xiang, R., & Pryce, J. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-95816-8 · Cited by 81 · see citing works
Pereira‐da‐Silva, M., Torsoni, M. A., Nourani, H. V., Delghingaro‐Augusto, V., de Souza, C. T., Gasparetti, A. L., Carvalheira, J. B. C., Ventrucci, G., Gomes‐Marcondes, M. C. C., Cruz-Neto, A. P., et al. (2003) · Endocrinology · doi:10.1210/en.2003-0243 · Cited by 79 · see citing works
Cold-Induced Changes in Gene Expression in Brown Adipose Tissue, White Adipose Tissue and Liver
Shore, A. M., Karamitri, A., Kemp, P. R., Speakman, J. R., Graham, N. S., & Lomax, M. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068933 · Cited by 79 · see citing works
Demography and Rapid Local Adaptation Shape Creole Cattle Genome Diversity in the Tropics
Pitt, D., Bruford, M. W., Barbato, M., Orozco‐terWengel, P., Martínez, R., & Sevane, N. (2019) · Evolutionary Applications · doi:10.1111/eva.12641 · Cited by 79 · see citing works
Gan, M., Shen, L., Fan, Y., Guo, Z., Liu, B., Chen, L., Tang, G., Jiang, Y., Li, X., Zhang, S., et al. (2019) · Animals · doi:10.3390/ani9121080 · Cited by 78 · see citing works
Freitas, P. H. F., Wang, Y., Yan, P., de Oliveira, H. R., Schenkel, F. S., Zhang, Y., Xu, Q., & Brito, L. F. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.604823 · Cited by 77 · see citing works
UCSC Data Integrator and Variant Annotation Integrator
Hinrichs, A. S., Raney, B. J., Speir, M. L., Rhead, B. L., Casper, J., Karolchik, D., Kuhn, R. M., Rosenbloom, K. R., Zweig, A. S., Haussler, D. H., et al. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv766 · Cited by 67 · see citing works
Coppe, A., Agostini, C., Marino, I. A. M., Zane, L., Bargelloni, L., Bortoluzzi, S., & Patarnello, T. (2012) · Genome Biology and Evolution · doi:10.1093/gbe/evs108 · Cited by 65 · see citing works
Verma, P., Sharma, A., Sodhi, M., Thakur, K., Kataria, R. S., Niranjan, S. K., Bharti, V. K., Kumar, P., Giri, A., Kalia, S., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-25736-7 · Cited by 63 · see citing works
Buggiotti, L., Yurchenko, A. A., Yudin, N. S., Jagt, C. J. V., Vorobieva, N. V., Kusliy, M. A., Vasiliev, S. K., Rodionov, A. N., Boronetskaya, O. I., Zinovieva, N. A., et al. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab078 · Cited by 63 · see citing works
Self-citationSuppression of Endothelial AGO1 Promotes Adipose Tissue Browning and Improves Metabolic Dysfunction
Tang, X., Miao, Y., Luo, Y., Sriram, K., Qi, Z., Lin, F., Gu, Y., Lai, C., Hsu, C., Peterson, K. L., et al. (2020) · Circulation · doi:10.1161/circulationaha.119.041231 · Cited by 62 · see citing works
Transcriptional Programs Underlying Cold Acclimation of Common Carp (Cyprinus carpio L.)
Long, Y., Li, X., Li, F., Ge, G., Liu, R., Song, G., Li, Q. X., Qiao, Z., & Cui, Z. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.556418 · Cited by 54 · see citing works
Effect of different fat supplements on performance of dairy calves during cold season
Ghasemi, E., Azad-Shahraki, M., & Khorvash, M. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-11827 · Cited by 53 · see citing works
Yudin, N. S., Larkin, D. M., & Ignatieva, E. V. (2017) · BMC Genetics · doi:10.1186/s12863-017-0580-9 · Cited by 45 · see citing works
Self-citationIgoshin, A. V., Yurchenko, A. A., Belonogova, N. M., Petrovsky, D. V., Aitnazarov, R. B., Soloshenko, V. A., Yudin, N. S., & Larkin, D. M. (2019) · BMC Genetics · doi:10.1186/s12863-019-0725-0 · Cited by 42 · see citing works
Self-citationEpigenetic Regulation of the Thermogenic Adipose Program
Sambeat, A., Gulyaeva, О. N., Dempersmier, J. M., & Sul, H. S. (2016) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2016.09.003 · Cited by 38 · see citing works
Eslamizad, M., Albrecht, D., & Kuhla, B. (2020) · Journal of Dairy Science · doi:10.3168/jds.2020-18417 · Cited by 38 · see citing works
Kudinov, A. A., Dementieva, N. V., Mitrofanova, O. V., Игоревна, С. О., Федорова, Е. С., Ларкина, Т. А., Mishina, A. I., Plemyashov, K. V., Griffin, D. K., & Romanov, M. N. (2019) · BMC Genomics · doi:10.1186/s12864-019-5605-5 · Cited by 36 · see citing works
Xu, Q., Wang, Y. C., Liu, R., Brito, L. F., Kang, L., Yu, Y., Wang, D. S., Wu, H. J., & Liu, A. (2017) · Genetics and Molecular Research · doi:10.4238/gmr16029593 · Cited by 35 · see citing works
RANTES: a new prostaglandin dependent endogenous pyrogen in the rat
Tavares, E., & Miñano, F. J. (2000) · Neuropharmacology · doi:10.1016/s0028-3908(00)00073-3 · Cited by 33 · see citing works
Bhardwaj, S., Singh, S., Ganguly, I., Bhatia, A. K., Bharti, V. K., & Dixit, S. P. (2021) · Animal Gene · doi:10.1016/j.angen.2021.200115 · Cited by 29 · see citing works
Singh, A. K., Upadhyay, R. C., Chandra, G., Kumar, S., Malakar, D., Singh, S., & Singh, M. K. (2020) · Cell Stress and Chaperones · doi:10.1007/s12192-020-01076-2 · Cited by 28 · see citing works
Weldenegodguad, M., Pokharel, K., Niiranen, L., Soppela, P., Ammosov, I., Honkatukia, M., Lindeberg, H., Peippo, J., Reilas, T., Mazzullo, N., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02703-z · Cited by 27 · see citing works
Whole Blood Transcriptome Analysis Reveals Footprints of Cattle Adaptation to Sub-Arctic Conditions
Pokharel, K., Weldenegodguad, M., Popov, R., Honkatukia, M., Huuki, H., Lindeberg, H., Peippo, J., Reilas, T., Zarovnyaev, S., & Kantanen, J. (2019) · Animal Genetics · doi:10.1111/age.12783 · Cited by 23 · see citing works
Kang, H. J., Piao, M. Y., Park, S. J., Na, S. W., Kim, H. J., & Baik, M. (2018) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.18.0621 · Cited by 20 · see citing works
Seasonal Variation in Carcass Characteristics of Korean Cattle Steers
Piao, M. Y., & Baik, M. (2015) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.14.0650 · Cited by 19 · see citing works
Xie, S., Yang, X., Gao, Y., Jiao, W., Li, X., Li, Y., & Ning, Z. (2017) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.16.0957 · Cited by 18 · see citing works
Cao, K. X., Hao, D., Wang, J., Peng, W. W., Yan, Y. J., Cao, H., Sun, F., & Chen, H. (2017) · Research in Veterinary Science · doi:10.1016/j.rvsc.2017.02.021 · Cited by 16 · see citing works
Khaibullina, A., Kenyon, N. J., Guptill, V., Quezado, M., Wang, L., Koziol, D. E., WESLEY, R. A., Moya, P. R., Zhang, Z., Saha, A., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048733 · Cited by 14 · see citing works
Liu, P., Guo, L., Mao, H., & Gu, Z. (2020) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2020.102547 · Cited by 10 · see citing works
Okumura, J., MORI, N., Muramatsu, T., TASAKI, I., & SAITO, F. (1988) · Poultry Science · doi:10.3382/ps.0671130 · Cited by 7 · see citing works
Swain, L., Mishra, C., Sahoo, S. S., Nayak, G., Pradhan, S. K., Mishra, S. R., & Dige, M. S. (2019) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2019.102491 · Cited by 7 · see citing works
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Sjodin, B. M. F., & Russello, M. A. (2022) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac241 · Cited by 8 · see citing works
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- Authors
- Igoshin, A., Yudin, N., Aitnazarov, R., Yurchenko, A. A., & Larkin, D. M.
- Affiliations
- Institute of Cytology and Genetics (RU)
- Novosibirsk State University (RU)
- Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia
- University of London (GB)
- Corresponding author
- Larkin, Denis M.
- Venue
- Life
- Publisher
- MDPI AG
- Published
- 2021-09-13
- Volume
- 11
- Issue
- 9
- Pages
- 959
- ISSN
- 2075-1729 (ISSN-L)
- PMC
- PMC8467296
- OpenAlex
- W3199336323
- Cited by
- 19
- References
- 55
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 3
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Life (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Russian Science Foundation (19-76-20026)
- 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
- cold stress, body temperature, cold tolerance, thermal adaptation, candidate SNPs, whole-genome resequencing, FST, thermogenesis, KMT2D, cattle breeding, Russia
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