Ecological geneticsEcological geneticsЭкологическая генетика1811-09322411-9202Eco-Vector56887110.17816/ecogen568871Genetic basis of ecosystems evolutionГенетические основы эволюции экосистемResearch ArticleAnalysis of the genetic diversity of Ayrshire cattle in Russia. Message 2. Genome analysis based on data on the distribution of ROH patterns in Ayrshire cowsАнализ генетического разнообразия айрширского скота России. Сообщение 2. Анализ генома на основе данных распределения ROH-паттернов коров айрширской породыhttps://orcid.org/0000-0003-2362-2892579419634004336-0310RyabovaAnna E.РябоваАнна Евгеньевна
Russian Federation

junior research associate

мл. научн. сотр.

aniuta.riabova2016@yandex.ruhttps://orcid.org/0000-0002-8658-2026572003833175441-6996PozovnikovaMarina V.ПозовниковаМарина Владимировна
Russian Federation

Cand. Sci. (Biol.), senior research associate

канд. биол. наук, ст. научн. сотр.

pozovnikova@gmail.comhttps://orcid.org/0000-0003-0210-9344572216192648768-8906DementievaNatalia V.ДементьеваНаталия Викторовна
Russian Federation

Cand. Sci. (Biol.), leading research associate

канд. биол. наук, вед. научн. сотр.

dementevan@mail.ruhttps://orcid.org/0000-0003-2949-0747571897595923547-1009ShcherbakovYury S.ЩербаковЮрий Сергеевич
Russian Federation

junior research associate

мл. научн. сотр.

yura.10.08.94.94@mail.ru572003846933973-6337TulinovaOlga V.ТулиноваОльга Васильевна
Russian Federation

Cand. Sci. (Agricultural), leading research associate

канд. с.-х. наук, вед. научн. сотр.

tulinova_59@mail.ruhttps://orcid.org/0000-0002-4225-55331444-3678RomanovaElena A.РомановаЕлена Анатольевна
Russian Federation

junior research associate

мл. научн. сотр.

splicing86@gmail.comhttps://orcid.org/0000-0002-2963-378X5784-2786AzovtsevaAnastasia I.АзовцеваАнастасия Ивановна
Russian Federation

junior research associate

мл. научн. сотр.

ase4ica15@mail.ruRussian Research Institute of Farm Animal Genetics and Breeding — Branch of the L.K. Ernst Federal Research Center for Animal HusbandryВсероссийский научно-исследовательский институт генетики и разведения сельскохозяйственных животных — филиал Федерального исследовательского центра животноводства — ВИЖ им. акад. Л.К. Эрнста17102023061220232132352482808202317102023Copyright ©; 2023, Eco-VectorCopyright ©; 2023, Эко-Вектор2023Eco-VectorЭко-Векторhttps://creativecommons.org/licenses/by-nc-nd/4.0/https://journals.eco-vector.com/ecolgenet/article/view/568871

BACKGROUND: The analysis of ROH distribution is an important focus of genetic resource conservation programs of cattle. Characterization of ROH-islands allows to identify genetic factors affecting productivity traits of dairy cattle.

AIM: was to analyze intra-breed genetic diversity and population structure of Ayrshire cattle, based on data on distribution of homozygosity patterns, as well as to identify loci associated with selection intensity and utility traits.

MATERIALS AND METHODS: ROH distribution data were obtained using whole genome genotyping on Illumina BovineSNP50 (50K) DNA chips (Illumina Inc., USA). The object of the study was the DNA of Ayrshire cows (600 cows), which belonged to farms with different levels of selection and breeding work.

RESULT: The results of our studies showed a generally similar level of inbredness of the analyzed Ayrshire cattle herds. The homogeneity of the population is confirmed by a large number of animals (72.83%) with FROH values between 0.10 and 0.20. Cluster analysis revealed consolidated groups of individuals, due to their ancestral origins. The discovered ROH-patterns included 268 genes, 32 of which were involved in regulation of the synthesis of protein and fat milk components. The results obtained may be used in breeding programs for Ayrshire cattle in Russia.

CONCLUSIONS: The Russian population of Ayrshire cattle is distinguished by unique qualities in protein and fat milk composition and genome architecture, while maintaining genetic diversity and insignificant traces of Ayrshire cattle gene pool.

Актуальность. Анализ распределения ROH — важное направление в программах сохранения генетических ресурсов крупного рогатого скота. Характеристика ROH-островков позволяет выявить генетические факторы, оказывающие влияние на продуктивные качества молочного скота.

Цель — анализ внутрипородного генетического разнообразия и структуры популяции на основе данных распределения паттернов гомозиготности и идентификация локусов, ассоциированных с интенсивностью отбора по хозяйственно-полезным признакам у коров айрширской породы.

Материалы и методы. Данные о распределении ROH были получены на основании полногеномного генотипирования на ДНК-чипах Illumina BovineSNP50 (50K) (Illumina Inc., США). Объектом исследования была ДНК коров айрширской породы (600 голов), которые принадлежали хозяйствам с различным уровнем селекционно-племенной работы.

Результаты. Результаты наших исследований показали в целом схожий уровень инбредности анализируемых стад айрширского скота. Однородность популяции подтверждается большим числом животных (72,83 %) со значениями FROH в интервале от 0,10 до 0,20. Кластерный анализ выявил консолидированные группы особей, что обусловлено происхождением их предков. Обнаруженные ROH-паттерны включали 268 генов, 32 из которых вовлечены в регуляцию синтеза белково-жировых компонентов молока.

Выводы. Полученные результаты могут быть использованы в программах селекции айрширского скота, разводимого в России.

homozygous regionsgenegenomic inbreedingmilk productionгомозиготные районыгенгеномный инбридингмолочная продуктивностьРоссийский научный фондRussian Science Foundation21-16-00049Howard JT, Pryce JE, Baes C, Maltecca C. Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability. J Dairy Sci. 2017;100(8):6009–6024. DOI: 10.3168/jds.2017-12787Howard J.T., Pryce J.E., Baes C., Maltecca C. Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability // J Dairy Sci. 2017. Vol. 100, No. 8. Р. 6009–6024. DOI: 10.3168/jds.2017-12787Nedashkovsky IS, Sermyagin AA, Bogdanova TV, et al. Evaluation of inbreeding effect for milk production and fertility traits black-and-white cattle improved by Holstein breed. Journal of Dairy and Beef Cattle Farming. 2018;(7):17–22. (In Russ.) DOI: 10.25632/MMS.2018.7.21450Недашковский И.С., Сермягин А.А., Богданова Т.В., и др. Оценка влияния уровня инбридинга на молочную продуктивность и воспроизводительные качества коров голштинизированной популяции черно-пестрой породы // Молочное и мясное скотоводство. 2018. № 7. С. 17–22. DOI: 10.25632/MMS.2018.7.21450Gutiеrrez-Reinoso MA, Aponte PM, Cabezas J, et al. Genomic evaluation of primiparous high-producing dairy cows: inbreeding effects on genotypic and phenotypic production-reproductive traits. Animals (Basel). 2020;10(9):1704. DOI: 10.3390/ani10091704Gutiеrrez-Reinoso M.A., Aponte P.M., Cabezas J., et al. Genomic evaluation of primiparous high-producing dairy cows: inbreeding effects on genotypic and phenotypic production-reproductive traits // Animals (Basel). 2020. Vol. 10, No. 9. ID 1704. DOI: 10.3390/ani10091704Granado-Tajada I, Rodriguez-Ramilo ST, Legarra A, Ugarte E. Inbreeding, effective population size, and coancestry in the Latxa dairy sheep breed. J Dairy Sci. 2020;103(6):5215–5226. DOI: 10.3168/jds.2019-17743Granado-Tajada I., Rodriguez-Ramilo S.T., Legarra A., Ugarte E. Inbreeding, effective population size, and coancestry in the Latxa dairy sheep breed // J Dairy Sci. 2020. Vol. 103, No. 6. P. 5215–5226. DOI: 10.3168/jds.2019-17743Curik I, Ferencakovic M, Sоlkner J. Inbreeding and runs of homozygosity: A possible solution to an old problem. Livest Sci. 2014;166(1):26–34. DOI: 10.1016/j.livsci.2014.05.034Curik I., Ferencakovic M., Sоlkner J. Inbreeding and runs of homozygosity: A possible solution to an old problem // Livest Sci. 2014. Vol. 166, No. 1. Р. 26–34. DOI: 10.1016/j.livsci.2014.05.034Peripolli E, Munari DP, Silva MVGB, et al. Runs of homozygosity: current knowledge and applications in livestock. Anim Genet. 2017;43(3):255–271. DOI: 10.1111/age.12526Peripolli E., Munari D.P., Silva M.V.G.B., et al. Runs of homozygosity: current knowledge and applications in livestock // Anim Genet. 2017. Vol. 43, No. 3. Р. 255–271. DOI: 10.1111/age.12526Martikainen K, Koivula M, Uimari P. Identification of runs of homozygosity affecting female fertility and milk production traits in Finnish Ayrshire cattle. Sci Rep. 2020;10(1):3804. DOI: 10.1038/s41598-020-60830-9Martikainen K., Koivula M., Uimari P. Identification of runs of homozygosity affecting female fertility and milk production traits in Finnish Ayrshire cattle // Sci Rep. 2020. Vol. 10, No. 1. ID 3804. DOI: 10.1038/s41598-020-60830-9Szmatoła T, Gurgul A, Ropka-Molik K, et al. Characteristics of runs of homozygosity in selected cattle breeds maintained in Poland. Livest Sci. 2016;188:72–80. DOI: 10.1016/J.LIVSCI.2016.04.006Szmatoła T., Gurgul A., Ropka-Molik K., et al. Characteristics of runs of homozygosity in selected cattle breeds maintained in Poland // Livest Sci. 2016. Vol. 188. Р. 72–80. DOI: 10.1016/J.LIVSCI.2016.04.006Tulinova OV, Vasil’eva NV, Anistenok SV, et al. Geneticheskie resursy otechestvennykh regional’nykh populyatsii airshirskogo skota (spravochnoe posobie). Saint Petersburg, Pushkin: Argus, 2021. 238 p. (In Russ.)Тулинова О.В., Васильева Н.В., Анистенок С.В., и др. Генетические ресурсы отечественных региональных популяций айрширского скота (справочное пособие). Санкт-Петербург, Пушкин: Аргус, 2021. 238 с.Yu GI, Song DK, Shin DH. Associations of IL1RAP and IL1RL1 gene polymorphisms with obesity and inflammation mediators. Inflamm Res. 2020;69(2):191–202. DOI: 10.1007/s00011-019-01307-yYu G.I., Song D.K., Shin D.H. Associations of IL1RAP and IL1RL1 gene polymorphisms with obesity and inflammation mediators // Inflamm Res. 2020. Vol. 69, No. 2. Р. 191–202. DOI: 10.1007/s00011-019-01307-yPeters SO, Kızılkaya K, Ibeagha-Awemu EM, et al. Comparative accuracies of genetic values predicted for economically important milk traits, genome-wide association, and linkage disequilibrium patterns of Canadian Holstein cows. J Dairy Sci. 2021;104(2): 1900–1916. DOI: 10.3168/jds.2020-18489Peters S.O., Kızılkaya K., Ibeagha-Awemu E.M., et al. Comparative accuracies of genetic values predicted for economically important milk traits, genome-wide association, and linkage disequilibrium patterns of Canadian Holstein cows // J Dairy Sci. 2021. Vol. 104, No. 2. Р. 1900–1916. DOI: 10.3168/jds.2020-18489Yang X, Aoki Y, Li X, et al. Structure of human holocarboxylase synthetase gene and mutation spectrum of holocarboxylase synthetase deficiency. Hum Genet. 2001;109(5):526–534. DOI: 10.1007/s004390100603Yang X., Aoki Y., Li X., et al. Structure of human holocarboxylase synthetase gene and mutation spectrum of holocarboxylase synthetase deficiency // Hum Genet. 2001. Vol. 109, No. 5. Р. 526–534. DOI: 10.1007/s004390100603Li K-Y, Tang J-P, Jiang Y-L, et al. Holocarboxylase synthetase deficiency induced by HLCS gene mutations: a rare disease study. Zhongguo Dang Dai Er Ke Za Zhi. 2023;25(4):401–407. DOI: 10.7499/j.issn.1008-8830.2211062Li K.-Y., Tang J.-P., Jiang Y.-L., et al. Holocarboxylase synthetase deficiency induced by HLCS gene mutations: a rare disease study // Zhongguo Dang Dai Er Ke Za Zhi. 2023. Vol. 25, No. 4. Р. 401–407. DOI: 10.7499/j.issn.1008-8830.2211062Edea Z, Jung KS, Shin SS, et al. Signatures of positive selection underlying beef production traits in Korean cattle breeds. J Anim Sci Technol. 2020;62(3):293–305. DOI: 10.5187/jast.2020.62.3.293Edea Z., Jung K.S., Shin S.S., et al. Signatures of positive selection underlying beef production traits in Korean cattle breeds // J Anim Sci Technol. 2020. Vol. 62, No. 3. Р. 293–305. DOI: 10.5187/jast.2020.62.3.293Liang C, Wang G, Abbas Raza SH, et al. FAM13A promotes proliferation of bovine preadipocytes by targeting Hypoxia-Inducible factor-1 signaling pathway. Adipocyte. 2021;10(1):546–557. DOI: 10.1080/21623945.2021.1986327Liang C., Wang G., Abbas Raza S.H., et al. FAM13A promotes proliferation of bovine preadipocytes by targeting Hypoxia-Inducible factor-1 signaling pathway // Adipocyte. 2021. Vol. 10, No. 1. Р. 546–557. DOI: 10.1080/21623945.2021.1986327Pedrosa VB, Schenkel FS, Chen S-Y, et al. Genomewide association analyses of lactation persistency and milk production traits in holstein cattle based on imputed whole-genome sequence data. Genes (Basel). 2021;12(11):1830. DOI: 10.3390/genes12111830Pedrosa V.B., Schenkel F.S., Chen S.-Y., et al. Genomewide association analyses of lactation persistency and milk production traits in Holstein cattle based on imputed whole-genome sequence data // Genes (Basel). 2021. Vol. 12, No. 11. ID 1830. DOI: 10.3390/genes12111830Do DN, Bissonnette N, Lacasse P, et al. Genome-wide association analysis and pathways enrichment for lactation persistency in Canadian Holstein cattle. J Dairy Sci. 2017;100(3):1955–1970. DOI: 10.3168/jds.2016-11910Do D.N., Bissonnette N., Lacasse P., et al. Genome-wide association analysis and pathways enrichment for lactation persistency in Canadian Holstein cattle // J Dairy Sci. 2017. Vol. 100, No. 3. Р. 1955–1970. DOI: 10.3168/jds.2016-11910Cohen-Ziri M, Seroussi E, Larkin DM, et al. Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle. Genome Res. 2005;15(7):936–944. DOI: 10.1101/gr.3806705Cohen-Ziri M., Seroussi E., Larkin D.M., et al. Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle // Genome Res. 2005. Vol. 15, No. 7. Р. 936–944. DOI: 10.1101/gr.3806705Kołodziejski PA, Pruszynska-Oszmałek E, Wojciechowicz T, et al. The role of peptide hormones discovered in the 21st century in the regulation of adipose tissue functions. Genes (Basel). 2021;17(2):756. DOI: 10.3390/genes12050756Kołodziejski P.A., Pruszynska-Oszmałek E., Wojciechowicz T., et al. The role of peptide hormones discovered in the 21st century in the regulation of adipose tissue functions // Genes (Basel). 2021. Vol. 17, No. 2. ID 756. DOI: 10.3390/genes12050756Shan S, Xu F, Bleyer M, et al. Association of α/β-hydrolase D16B with bovine conception rate and sperm plasma membrane lipid composition. Int J Mol Sci. 2020;21(2):627. DOI: 10.3390/ijms21020627Shan S., Xu F., Bleyer M., et al. Association of α/β-hydrolase D16B with bovine conception rate and sperm plasma membrane lipid composition // Int J Mol Sci. 2020. Vol. 21, No. 2. ID 627. DOI: 10.3390/ijms21020627Shan S, Xu F, Hirschfeld M, et al. α/β-hydrolase D16B truncation results in premature sperm capacitation in cattle. Int J Mol Sci. 2022;23(14):7777. DOI: 10.3390/ijms23147777Shan S., Xu F., Hirschfeld M., et al. α/β-hydrolase D16B truncation results in premature sperm capacitation in cattle // Int J Mol Sci. 2022. Vol. 23, No. 14. ID 7777. DOI: 10.3390/ijms23147777Xin J, Chai Z, Zhang C, et al. Methylome and transcriptome profiles in three yak tissues revealed that DNA methylation and the transcription factor ZGPAT co-regulate milk production. BMC Genomics. 2020;21(1):731. DOI: 10.1186/s12864-020-07151-3Xin J., Chai Z., Zhang C., et al. Methylome and transcriptome profiles in three yak tissues revealed that DNA methylation and the transcription factor ZGPAT co-regulate milk production // BMC Genomics. 2020. Vol. 21, No. 1. ID 731. DOI: 10.1186/s12864-020-07151-3Machado PC, Brito LF, Martins R, et al. Genome-wide association analysis reveals novel loci related with visual score traits in nellore cattle raised in pasture-based systems. Animals (Basel). 2022;12(24):3526. DOI: 10.3390/ani12243526Machado P.C., Brito L.F., Martins R., et al. Genome-wide association analysis reveals novel loci related with visual score traits in nellore cattle raised in pasture-based systems // Animals (Basel). 2022. Vol. 12, No. 24. ID 3526. DOI: 10.3390/ani12243526Sun H-Z, Zhu Z, Zhou M, et al. Gene co-expression and alternative splicing analysis of key metabolic tissues to unravel the regulatory signatures of fatty acid composition in cattle. RNA Biology. 2021;18(6):854–862. DOI: 10.1080/15476286.2020.1824060Sun H.-Z., Zhu Z., Zhou M., et al. Gene co-expression and alternative splicing analysis of key metabolic tissues to unravel the regulatory signatures of fatty acid composition in cattle // RNA Biology. 2021. Vol. 18, No. 6. Р. 854–862. DOI: 10.1080/15476286.2020.1824060Buaban S, Lengnudum K, Boonkum W, Phakdeedindan P. Genome-wide association study on milk production and somatic cell score for Thai dairy cattle using weighted single-step approach with random regression test-day model. J Dairy Sci. 2022;105(1):468–494. DOI: 10.3168 / jds.2020-19826Buaban S., Lengnudum K., Boonkum W., Phakdeedindan P. Genome-wide association study on milk production and somatic cell score for Thai dairy cattle using weighted single-step approach with random regression test-day model // J Dairy Sci. 2022. Vol. 105, No. 1. Р. 468–494. DOI: 10.3168 / jds.2020-19826Malheiros JM, Enriquez-Valencia CE, Braga CP, et al. Application of proteomic to investigate the different degrees of meat tenderness in Nellore breed. J Proteomics. 2021;248:104331. DOI: 10.1016/j.jprot.2021.104331Malheiros J.M., Enriquez-Valencia C.E., Braga C.P., et al. Application of proteomic to investigate the different degrees of meat tenderness in Nellore breed // J Proteomics. 2021. Vol. 248. ID 104331. DOI: 10.1016/j.jprot.2021.104331Girardi E, Superti-Furga G. Caught in the genetic network: a novel regulator of lipid metabolism. Nat Metab. 2020;2(6):483–484. DOI: 10.1038/s42255-020-0218-5Girardi E., Superti-Furga G. Caught in the genetic network: a novel regulator of lipid metabolism // Nat Metab. 2020. Vol. 2, No. 6. Р. 483–484. DOI: 10.1038/s42255-020-0218-5Du C, Deng T, Zhou Y, et al. Systematic analyses for candidate genes of milk production traits in water buffalo (Bubalus bubalis). Anim Genet. 2019;50(3):207–216. DOI: 10.1111/age.12739Du C., Deng T., Zhou Y., et al. Systematic analyses for candidate genes of milk production traits in water buffalo (Bubalus Bubalis) // Anim Genet. 2019. Vol. 50, No. 3. Р. 207–216. DOI: 10.1111/age.12739Feng X, Pan C, Liu S, et al. Identification of core genes affecting IMF deposition in bovine. Anim Biotechnol. 2023;34(7):2887–2899. DOI: 10.1080/10495398.2022.2124167Feng X., Pan C., Liu S., et al. Identification of core genes affecting IMF deposition in bovine // Anim Biotechnol. 2023. Vol. 34, No. 7. Р. 2887–2899. DOI: 10.1080/10495398.2022.2124167Liu X, Gong J, Wang L, et al. Genome-wide profiling of the microrna transcriptome regulatory network to identify putative candidate genes associated with backfat deposition in pigs. Animals. 2019;6(6):313. DOI: 10.3390/ani9060313Liu X., Gong J., Wang L., et al. Genome-wide profiling of the microrna transcriptome regulatory network to identify putative candidate genes associated with backfat deposition in pigs // Animals. 2019. Vol. 6, No. 6. ID 313. DOI: 10.3390/ani9060313Abou-Rjeileh U, dos Santos Neto JM, Chirivi M, et al. Oleic acid abomasal infusion limits lipolysis and improves insulin sensitivity in adipose tissue from periparturient dairy cows. J Dairy Sci. 2023;106(6):4306–4323. DOI: 10.3168/jds.2022-22402Abou-Rjeileh U., dos Santos Neto J.M., Chirivi M., et al. Oleic acid abomasal infusion limits lipolysis and improves insulin sensitivity in adipose tissue from periparturient dairy cows // J Dairy Sci. 2023. Vol. 106, No. 6. Р. 4306–4323. DOI: 10.3168/jds.2022-22402Liu Y, Mu Y, Wang W, et al. Analysis of genomic copy number variations through whole-genome scan in Chinese Qaidam cattle. Front Vet Sci. 2023;10:1148070. DOI: 10.3389/fvets.2023Liu Y., Mu Y., Wang W., et al. Analysis of genomic copy number variations through whole-genome scan in Chinese Qaidam cattle // Front Vet Sci. 2023. Vol. 10. ID 1148070. DOI: 10.3389/fvets.2023Dong Y, Jin L, Liu X, et al. IMPACT and OSBPL1A are two isoform-specific imprinted genes in bovines. Theriogenology. 2022;184: 100–109. DOI: 10.1016/j.theriogenologyDong Y., Jin L., Liu X., et al. IMPACT and OSBPL1A are two isoform-specific imprinted genes in bovines // Theriogenology. 2022. Vol. 184. Р. 100–109. DOI: 10.1016/j.theriogenologyToro Ospina AM, da Silva Faria RA, Vercesi Filho AE, et al. Genome-wide identification of runs of homozygosity islands in the Gyr breed (Bos indicus). Reprod Domes Anim. 2020;55(3):333–342. DOI: 10.1111 / rda.13639Toro Ospina A.M., da Silva Faria R.A., Vercesi Filho A.E., et al. Genome-wide identification of runs of homozygosity islands in the Gyr breed (Bos indicus) // Reprod Domes Anim. 2020. Vol. 55, No. 3. Р. 333–342. DOI: 10.1111/rda.13639Zhang Y, Yu M, Dong J, et al. Nucleophosmin3 carried by small extracellular vesicles contribute to white adipose tissue brownin. J Nanobiotechnol. 2022;20(1):165. DOI: 10.1186/s12951-022-01381-1Zhang Y., Yu M., Dong J., et al. Nucleophosmin3 carried by small extracellular vesicles contribute to white adipose tissue brownin // J Nanobiotechnol. 2022. Vol. 20, No. 1. ID 165. DOI: 10.1186/s12951-022-01381-1Jayawardana JMDR, Lopez-Villalobos N, McNaughton LR, Hickson RE. Genomic regions associated with milk composition and fertility traits in spring-calved dairy cows in New Zealand. Genes. 2023;14(4):860. DOI: 10.3390/genes14040860Jayawardana J.M.D.R., Lopez-Villalobos N., McNaughton L.R., Hickson R.E. Genomic regions associated with milk composition and fertility traits in spring-calved dairy cows in New Zealand // Genes. 2023. Vol. 14, No. 4. ID 860. DOI: 10.3390/genes14040860Senczu G, Guerra L, Mastrangelo S, et al. Fifteen shades of grey: combined analysis of genome-wide SNP data in steppe and mediterranean grey cattle sheds new light on the molecular basis of coat color. Genes. 2020;11(8):932. DOI: 10.3390/genes11080932Senczu G., Guerra L., Mastrangelo S., et al. Fifteen shades of grey: combined analysis of genome-wide SNP data in steppe and mediterranean grey cattle sheds new light on the molecular basis of coat color // Genes. 2020. Vol. 11, No. 8. ID 932. DOI: 10.3390/genes11080932Visser C, Lashmar SF, Reding J, et al. Pedigree and genome-based patterns of homozygosity in the South African Ayrshire, Holstein, and Jersey breeds. Front Genet. 2023;14:1136078. DOI: 10.3389/fgene.2023.1136078Visser C., Lashmar S.F., Reding J., et al. Pedigree and genome-based patterns of homozygosity in the South African Ayrshire, Holstein, and Jersey breeds // Front Genet. 2023. Vol. 14. ID 1136078. DOI: 10.3389/fgene.2023.1136078Pozovnikova MV, Tulinova OV, Sermyagin AA, et al. Analysis of the genetic diversity of Ayrshire cattle in Russia (part 1). Ecological genetics. 2022;20(1):5–12. (In Russ.) DOI: 10.17816/ecogen88943Позовникова М.В., Тулинова О.В., Сермягин А.А., и др. Анализ генетического разнообразия айрширского скота России (сообщение 1) // Экологическая генетика. 2022. Т. 20, № 1. P. 5–12. DOI: 10.17816/ecogen88943Smaragdov MG, Kudinov AA. Assessing the power of principal components and wright’s fixation index analyzes applied to reveal the genome-wide genetic differences between herds of Holstein cows. BMC Genet. 2020;21(1):47. DOI: 10.1186/s12863-020-00848-0Smaragdov M.G., Kudinov A.A. Assessing the power of principal components and wright’s fixation index analyzes applied to reveal the genome-wide genetic differences between herds of Holstein cows // BMC Genet. 2020. Vol. 21, No. 1. ID 47. DOI: 10.1186/s12863-020-00848-0Sarviaho K, Uimari P, Martikainen K. Estimating inbreeding rate and effective population size in the Finnish Ayrshire population in the era of genomic selection. J Anim Breed Genet. 2023;140(3):343–353. DOI: 10.1111/jbg.12762Sarviaho K., Uimari P., Martikainen K. Estimating inbreeding rate and effective population size in the Finnish Ayrshire population in the era of genomic selection // J Anim Breed Genet. 2023. Vol. 140, No. 3. Р. 343–353. DOI: 10.1111/jbg.12762Martikainen K, Sironen A, Uimari P. Estimation of intrachromosomal inbreeding depression on female fertility using runs of homozygosity in Finnish Ayrshire cattle. J Dairy Sci. 2018;101(12): 11097–11107. DOI: 10.3168/jds.2018-14805Martikainen K., Sironen A., Uimari P. Estimation of intrachromosomal inbreeding depression on female fertility using runs of homozygosity in Finnish Ayrshire cattle // J Dairy Sci. 2018. Vol. 101, No. 12. P. 11097–11107. DOI: 10.3168/jds.2018-14805Zhang Q, Guldbrandtsen B, Bosse M, et al. Runs of homozygosity and distribution of functional variants in the cattle genome. BMC Genomics. 2015;16(2):542. DOI: 10.1186/s12864-015-1715-xZhang Q., Guldbrandtsen B., Bosse M., et al. Runs of homozygosity and distribution of functional variants in the cattle genome // BMC Genomics. 2015. Vol. 16, No. 2. ID 542. DOI: 10.1186/s12864-015-1715-xPurfield DC, Evans RD, Berry DP. Breed-and trait-specific associations define the genetic architecture of calving performance traits in cattle. J Anim Sci. 2020;98(5):skaa151. DOI: 10.1093/jas/skaa151Purfield D.C., Evans R.D., Berry D.P. Breed-and trait-specific associations define the genetic architecture of calving performance traits in cattle // J Anim Sci. 2020. Vol. 98, No. 5. ID skaa151. DOI: 10.1093/jas/skaa151Lozada-Soto E, Tiezzi F, Jicang J, et al. Genomic characterization of autozygosity and recent inbreeding trends in all major breeds of US dairy cattle. J Dairy Sci. 2022;105(11):8956–8971. DOI: 10.3168/jds.2022-22116Lozada-Soto E., Tiezzi F., Jicang J., et al. Genomic characterization of autozygosity and recent inbreeding trends in all major breeds of US dairy cattle // J Dairy Sci. 2022. Vol. 105, No. 11. Р. 8956–8971. DOI: 10.3168/jds.2022-22116Forutan M, Ansari Mahyari S, Baes C, et al. Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle. BMC Genomics. 2018;19(1):98. DOI: 10.1186/s12864-018-4453-zForutan M., Ansari Mahyari S., Baes C., et al. Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle // BMC Genomics. 2018. Vol. 19, No. 1. ID 98. DOI: 10.1186/s12864-018-4453-z