Evaluation of the individual level of homozygosity of bulls on the basis of genomic information
https://doi.org/10.26898/0370-8799-2019-6-9
Abstract
About the Authors
L. P. IgnatievaRussian Federation
Candidate of Science in Agriculture, Lead Researcher
Moscow region, Podolsk
A. A. Belous
Russian Federation
Junior Researcher, Postgraduate Student
Moscow region, Podolsk
I. S. Nedashkovsky
Russian Federation
Junior Researcher, Postgraduate Student
Moscow region, Podolsk
О. V. Kostyunina
Russian Federation
Doctor of Science in Biology, Head of Laboratory, Lead Researcher
Moscow region, Podolsk
A. A. Sermyagin
Russian Federation
Candidate of Science in Agriculture, Head of Division, Lead Researcher
60 Dubrovitsy, Podolsk, Moscow region, 142132
N. A. Zinovieva
Russian Federation
Doctor of Science in Biology, Professor, Member RAS academy, Director of Federal Science Center for Animal Husbandry named after L.K.
Moscow region, Podolsk
References
1. Howard J.T., Maltecca C., Haile-Mariam M., Hayes B.J., Pryce J.E. Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations. BMC Genomics, 2015, vol. 16, pp. 187. DOI: 10.1186/s12864-015-1352-4.
2. Howard J.T., Pryce J.E., Baes C., Maltecca C. Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability. Journal of Dairy Science, 2017, vol. 100, pp. 1–16. DOI: 10.3168/ jds.2017-12787.
3. Ferencakovic M., Soelkner J., Curik I. Estimating autozygosity from high-throughput information: effects of SNP density and genotyping errors. Genetics Selection Evolution, 2013, vol. 45, pp. 42. DOI: 10.1186/1297-9686-45-42.
4. Curik I., Ferencakovic M., Sölkner J. Genomic dissection of inbreeding depression: a gate to new opportunities. Revista Brasileira de Zootecnia, 2017, vol. 46 (9), pp. 773–782. DOI: 10.1590/s1806-92902017000900010.
5. Forutan M., Mahyari S.A., Baes C., Melzer N., Schenke F.S., Sargolzaei M. Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle. BMC Genomics, 2018, no. 19, pp. 98. DOI: 10.1186/s12864-018-4453-z.
6. Kim E.-S., Cole J.B., Huson H., Wiggans G.R., Van Tassell C.P., Crooker B.A., Liu G., Da Y., Sonstegard T.S. Effect of Artifi cial Selection on Runs of Homozygosity in U.S. Holstein Cattle. PLOS ONE, 2013, vol. 8, iss. 11, pp. e80813. DOI:10.1371/journal.pone.0080813.
7. Nedashkovskii I.S., Sermyagin A.A., Bogdanova T.V., Ermilova. N., Yanchukov I.N., Zinov’eva N.A. Otsenka vliyaniya urovnya inbridinga na molochnuyu produktivnost’ i vosproizvoditel’nye kachestva korov golshtinizirovannoi populyatsii cherno-pestroi porody [Evaluation of inbreeding effect on milk production and fertility traits of blackand-white cattle improved by Holstein breed]. Molochnoe i myasnoe skotovodstvo [Dairy and Beef Cattle Farming], 2018, no. 7, pp.17–22. (In Russian).
8. Nedashkovskii I.S., Kostyunina O.V., Volkova V.V., Ermilov A.N., Sermyagin A.A. Otsenka plemennoi tsennosti bykov-proizvoditelei golshtinskoi porody po kachestvu potomstva v svyazi s urovnem gomozigotnosti po STRmarkeram [Estimation of the breeding value for Holstein stud bulls using progeny testing in connection with the homozygosity level calculated by STR-markers]. Vestnik ryazanskogo gosudarstvennogo agrotekhnologicheskogo universiteta imeni P.A. Kostycheva [Herald of Ryazan State Agrotechnological University named after P. A. Kostychev], 2019, no. 3 (43), pp. 36–43. (In Russian).
9. Romanenkova O.S., Volkova V.V., Kostyunina O.V., Gladyr E.A., Naryshkina E.N., Sermyagin A.A., Zinovieva N.A. The distribution for LoF-mutations in the FANCI, APAF1, SMC2, GART and APOB genes of the Russian Holstein cattle population. Journal of Animal Science, 2017, vol. 95, suppl. 4, pp. 83. DOI:10.2527/ asasann.2017.168.
10. Pryce J.E., Haile-Mariam M., Goddard M.E., Hayes B.J. Identifi cation of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle. Genetics Selection Evolution, 2014, no. 46, pp. 71. DOI: 10.1186/ s12711-014-0071-7.
11. Nedashkovsky I., Sermyagin A., Kostyunina O., Brem G., Zinovieva N. Assessing homozygosity level in the Russian Black-and-White and Holstein cattle using whole-genome analysis. Journal of Animal Science, 2018, vol. 96, suppl 3, pp. 139. DOI: 10.1093/jas/sky404.304.
12. Sermyagin A.A., Belous A.A., Konte A.F., Filipchenko A.A., Ermilov A.N., Yanchukov I.N., Plemyashov K.V., Brem G., Zinov’eva N.A. Validatsiya genomnogo prognoza plemennoi tsennosti bykov-proizvoditelei po priznakam molochnoi produktivnosti docherei na primere populyatsii cherno-pestrogo i golshtinskogo skota [Genomic evaluation of bulls for daughters’ milk traits in Russian black-and-white and Holstein cattle population through the validation procedure]. Sel’skokhozyaistvennaya biologiya [Agricultural Biology], 2017, no. 6, pp. 1148–1156. (In Russian). DOI: 10.15389/ agrobiology.2017.6.1148rus.
13. Aguilar I., Misztal I. Technical Note: Recursive Algorithm for Inbreeding Coeffi cients Assuming Nonzero Inbreeding of Unknown Parents. Journal of Dairy Science, 2008, no. 91, pp. 1669–1672. DOI: 10.3168/jds.2007-0575.
14. Purcell S., Neale B., Todd-Brown K., Thomas L., Ferreira M.A.R., Bender D., Maller J., Sklar P., W. de Bakker P.I., Daly M.J., Sham P.C. PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses. The American Journal of Human Genetics, 2007, vol. 81, pp. 559–575.
Review
For citations:
Ignatieva L.P., Belous A.A., Nedashkovsky I.S., Kostyunina О.V., Sermyagin A.A., Zinovieva N.A. Evaluation of the individual level of homozygosity of bulls on the basis of genomic information. Siberian Herald of Agricultural Science. 2019;49(6):79-87. (In Russ.) https://doi.org/10.26898/0370-8799-2019-6-9