vestiagИзвестия Национальной академии наук Беларуси. Серия аграрных наукProceedings of the National Academy of Sciences of Belarus. Agrarian Series1817-72041817-7239The Republican Unitary Enterprise Publishing House "Belaruskaya Navuka"10.29235/1817-7204-2021-59-4-464-476vestiag-595Research ArticleЖЫВЁЛАГАДОЎЛЯ І ВЕТЭРЫНАРНАЯ МЕДЫЦЫНАANIMAL HUSBANDRY AND VETERINARY MEDICINEБиоинформатический анализ геномов коммерческих пород домашних свиней для идентифи- кации породоспецифичных SNPBioinformatic analysis of genomes of commercial breeds of domestic pigs for identification of breed-specific SNPshttps://orcid.org/0000-0002-7822-0746КипеньВ. Н.KipenV. N.

Кипень Вячеслав Николаевич – кандидат биологических наук наук, научный сотрудник лаборатории генетической и клеточной инженерии

ул. Академическая, 27, 220072 Минск

Viachaslau N. Kipen - Ph. D. (Biological)

27, Academicheskaya Str., Minsk 220072

v.kipen@igc.byhttps://orcid.org/0000-0001-6087-5069МихайловаМ. Е.MikhailovaM. E.

Михайлова Мария Егоровна – кандидат биологических наук, зав. лабораторией генетики животных

ул. Академическая, 27, 220072 Минск

Mariya E. Mikhailova - Ph. D. (Biology), head of laboratory of animal genetics

27, Academicheskaya Str., Minsk 220072

M.Mikhailova@igc.byhttps://orcid.org/0000-0001-7961-1952СнытковЕ. В.SnytkovE. V.

Снытков Евгений Владимирович – младший научный сотрудник лаборатории генетики животных

ул. Академическая, 27, 220072 Минск

Evgenij V. Snytkov

27, Academicheskaya Str., Minsk 220072

evsnytkov@gmail.comhttps://orcid.org/0000-0002-1455-3621РоманишкоЕ. Л.RomanishkoE. L.

Романишко Елена Леонидовна – научный сотрудник лаборатории генетики животных

ул. Академическая, 27, 220072 Минск

Elena L. Romanishko

27, Academicheskaya Str., Minsk 220072

lenaramanishko@mail.ruhttps://orcid.org/0000-0002-4559-6704ИвановаЕ. В.IvanovaE. V.

Иванова Екатерина Вадимовна – стажер младшего научного сотрудника лаборатории генетической и клеточной инженерии

ул. Академическая, 27, 220072 Минск

Ekaterina V. Ivanova

27, Academicheskaya Str., Minsk 220072

katya-girl119@mail.ruhttps://orcid.org/0000-0001-5442-566XШейкоР. И.SheykoR. I.

Шейко Руслан Иванович – член-корреспондент НАН Беларуси, доктор сельскохозяйственных наук, профессор, директор

ул. Академическая, 27, 220072 Минск

Ruslan I. Sheyko - Corresponding Member of the NAS of Bela rus, D.Sc. (Agricultural), Professor

27, Academicheskaya Str., Minsk 220072

R.I.Sheyko@igc.byИнститут генетики и цитологии Национальной академии наук БеларусиInstitute of Genetics and Cytology of the National Academy of Sciences of Belarus202105112021594464–476Copyright © Кипень В.Н., Михайлова М.Е., Снытков Е.В., Романишко Е.Л., Иванова Е.В., Шейко Р.И., 20212021Кипень В.Н., Михайлова М.Е., Снытков Е.В., Романишко Е.Л., Иванова Е.В., Шейко Р.И.Kipen V.N., Mikhailova M.E., Snytkov E.V., Romanishko E.L., Ivanova E.V., Sheyko R.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestiagr.belnauka.by/jour/article/view/595

Определение чистопородности сельскохозяйственных животных в селекционной системе имеет ключевое значение для всей отрасли животноводства. Чистопородное разведение заводских пород призвано обеспечить производство высокоценного улучшающего племенного материала для товарного животноводства. Определение чистопородности свиней может быть проведено с использованием однонуклеотидных полиморфизмов (SNP). Технология мультиплексирования сегодня достигла уровня, который позволяет за один запуск прибора охарактеризовать десятки и сотни тысяч полиморфных вариантов одновременно для сотен животных. Впервые с использованием методов биоинформатики проведен анализ полногеномных проектов для 264 особей вида Sus scrofa, расположенных в базе Sequence Read Archive (NCBI-SRA). Определен in silico генотип для 692 SNP, из которых для 59 SNP показан значительный потенциал для дифференциации четырех коммерческих пород: крупная белая (наиболее значимые SNP – Chr.6:g.85845403T>G и Chr.16:g.74053569T>C), дюрок (Chr.4:g.55661608A>G, Chr.14:g.107689091T>C и Chr.14:g.107939105T>C), ландрас (Chr.5:g.99925204A>G, Chr.18:g.40100481A>G и Chr.18:g.7664624A>G) и пьетрен (Chr.13:g.136017764T>C и Chr.17:g.47595840A>G). Для пород свиней дюрок и пьетрен точность дифференциации была не менее 99 %, для пород свиней крупная белая и ландрас – более 80 %, однако показатель чувствительности, характеризующий процент ложноположительных результатов классификации, был немногим более 65 %. Создание моделей для молекулярно-генетических исследований данных пород позволит проводить генетическую экспертизу их чистопородности, что будет способствовать возрастанию их племенной ценности и сохранению национального генофонда.

Determining the purebredity of farm animals in a breeding system is of key importance for the entire livestock industry. Purebred breeding of plant breeds is designed to ensure the production of high-value improving breeding material for commercial livestock breeding. Determination of purebredity of pigs can be carried out using single nucleotide polymorphisms (SNP). The multiplexing technology today has reached a level that makes it possible to characterize tens and hundreds of thousands of polymorphic variants simultaneously for hundreds of animals in one run of the device. For the first time, using bioinformatics methods, an analysis of genome-wide projects was carried out for 264 individuals of the species Sus scrofa located in the Sequence Read Archive (NCBI-SRA). The in silico genotype was determined for 692 SNPs, of which 59 SNPs showed a significant potential for differentiation of four commercial breeds: large white (the most significant SNPs are Chr. 6: g.85845403T> G and Chr.16: g.74053569T> C), duroc (Chr. 4: g.55661608A> G, Chr. 14: g.107689091T> C and Chr. 14: g.107939105T> C), landrace (Chr. 5: g.99925204A> G, Chr. 18: g .40100481A> G and Chr. 18: g.7664624A> G) and pietrain (Chr. 13: g.136017764T> C and Chr.17: g.47595840A> G). For breeds of duroc and pietrain pigs, the accuracy of differentiation was at least 99%, for breeds of large white and landrace pigs - over 80%, however, the sensitivity indicator characterizing the percentage of false positive results of classification was slightly over 65%. Creation of models for molecularand-genetic studies of these breeds will allow for a genetic examination of their purebredity, which will contribute to an increase in their breeding value and preservation of the national gene pool.

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The authors declare that there are no conflicts of interest present.