Preview

Agrarian science

Advanced search

Identification of SNPs and candidate genes associated with first egg weight in laying hens based on whole-genome genotyping data

https://doi.org/10.32634/0869-8155-2025-400-11-68-75

Abstract

The search for genetic markers and their identification that determine the formation and degree of manifestation of promising phenotypes for economically important traits in chickens is one of the priority tasks of genomic selection.
The research objectives are to search for and identify single nucleotide polymorphisms (SNPs) and candidate genes associated with the weight of the first egg in laying hens based on genome—wide genotyping data.
The object of the study was F2 hens of the resource population obtained by interbreeding two breeds with contrasting egg productivity — Russian White and Cornish (n = 94). F2 individuals were assessed by the weight of the first egg at the beginning of laying. For whole-genome genotyping of F2 hens, the Illumina Chicken 60K SNP iSelect BeadChip DNA chip was used.
Based on the obtained phenotype and genotype data, whole-genome association studies were performed. Seven significant SNPs (p < 1.06 x 10-5) associated with the first egg weight in F2 resource population hens were identified. The 26 genes were identified in the SNP data area, including 3 genes in SNP positions (MPP7, SNTG1, SEPTIN11). It was established that genotypes GG at the Gga_rs15141739 locus (SNTG1) and AA at the GGaluGA162050 locus cause a high weight of the first egg (p < 0.01).

About the Authors

N. A. Volkova
L.K. Ernst Federal Research Center for Animal Husbandry
Russian Federation

 Natalia Alexandrovna Volkova,  Doctor of Biological Sciences, Chief Researcher, Head of the Cryobiology Laboratory

60 Dubrovitsy, Podolsk Municipal District, Moscow Region,142132 



A. N. Vetokh
L.K. Ernst Federal Research Center for Animal Husbandry
Russian Federation

 Anastasia Nikolaevna Vetokh,  Reasearcher at the Cryobiology Laboratory

60 Dubrovitsy, Podolsk Municipal District, Moscow Region,142132



L. A. Volkova
L.K. Ernst Federal Research Center for Animal Husbandry
Russian Federation

 Ludmila Alexandrovna Volkova,  Candidate of Biological Sciences, Researcher of the Microbiology Laboratory

60 Dubrovitsy, Podolsk Municipal District, Moscow Region,142132 



References

1. Buyarov A.V., Buyarov V.S. The role of the poultry industry in ensuring food security in Russia. Vestnik of Kursk State Agricultural Academy. 2020; (7): 84‒95 (in Russian). https://www.elibrary.ru/uuutfr

2. Chernyavskaya S.A., Lebedev S.A., Chumachenko E.M. Analysis of the dynamics of poultry farming in the regions of Russia and its role in ensuring food security. Journal of Applied Research. 2025; (4): 66–74 (in Russian). https://www.elibrary.ru/ucbfyn

3. Kozerod Yu.M., Vorobyova N.V. Features and trends in the development of egg poultry farming in Russia at the present stage. Economy, labor, management in agriculture. 2024; 7(113): 188–194 (in Russian). https://doi.org/10.33938/247-188

4. Bayurov L.I., Gvozdeva Yu.M. State and prospects for the development of egg poultry farming. Modern problems in animal husbandry: status, solutions, prospects. Collection of articles based on the materials of the II International scientific and practical conference dedicated to the 90th anniversary of Academician V.G. Ryadchikov. Krasnodar: Kuban State Agrarian University named after I.T. Trubilin. 2024; 319–325 (in Russian). https://www.elibrary.ru/pwamxo

5. Tyumentseva V.S., Popov P.A., Babunova V.S., Savinova E.P., Osipova I.S. Bacterial contamination of commercial chicken eggs. Agrarian science. 2025; (4): 63–68 (in Russian). https://doi.org/10.32634/0869-8155-2025-393-04-63-68

6. Gvozdeva Yu.M. Exterior and interior markers of potential poultry productivity. Modern vectors of scientific development. Collection of articles based on the materials of the annual scientific and practical conference of teachers on the results of research for 2023. Krasnodar: Kuban State Agrarian University named after I.T. Trubilin. 2024; 267–268 (in Russian). https://www.elibrary.ru/brrphe

7. Buyarov A.V., Vorontsova E.V. Production of eggs and poultry meat: trends, problems, development prospects. Actual problems of veterinary science and intensive animal husbandry: Collection of papers of the international scientific and practical conference. Bryansk: Bryansk State Agrarian University. 2024; 29–36 (in Russian). https://www.elibrary.ru/ibstlf

8. Chomchuen K., Tuntiyasawasdikul V., Chankitisakul V., Boonkum W. Genetic Evaluation of Body Weights and Egg Production Traits Using a Multi-Trait Animal Model and Selection Index in Thai Native Synthetic Chickens (Kaimook e-san2). Animals. 2022; 12(3): 335. https://doi.org/10.3390/ani12030335

9. Obozhina E.P., Chepushtanova O.V. Egg production of agricultural poultry. Priority areas for the development of agricultural science and technology. Collection of abstracts of the scientific and practical conference dedicated to the 75th anniversary of the Faculty of Biotechnology and Food Engineering. Ekaterinburg: Ural State Agrarian University. 2024; 290–291 (in Russian). https://www.elibrary.ru/kxsonu

10. Kavtarashvili A.Sh. Chicken egg. Part 2. Factors influencing egg weight. Nashe sel’skoye khozyaystvo (Our agriculture). 2024; 16(336): 65–67 (in Russian). https://www.elibrary.ru/fjzwxu

11. Losevskaya S.A., Ilyin V.G. Egg categories, their characteristics and storage methods. Proceedings of the All-Russian (national) scientific and practical conference with international participation dedicated to the 110th anniversary of the birth of I.S. Kaurichev. Conference materials. Kaluga: individual entrepreneur Yakunina V.A. 2024; 59–61 (in Russian). https://www.elibrary.ru/cjpjxh

12. Arzhankova Yu.V., Prirezova E.A. Comparative assessment of chicken eggs of different categories. Current state and innovative ways of development of the agro-industrial complex in the Russian Federation. Proceedings of the International scientific and practical conference dedicated to the Day of Science. Velikiye Luki: Velikiye Luki State Agricultural Academy. 2025; 9–15 (in Russian). https://www.elibrary.ru/cjqrbf

13. Nangsuay A., Ruangpanit Y., Meijerhof R., Attamangkune S. Yolk absorption and embryo development of small and large eggs originating from young and old breeder hens. Poultry Science. 2011; 90(11): 2648‒2655. https://doi.org/10.3382/ps.2011-01415

14. Fathi M., Abou-Emera O., Al-Homidan I., Galal A., Rayan G. Effect of genotype and egg weight on hatchability properties and embryonic mortality pattern of native chicken populations. Poultry Science. 2022; 101(11): 102129. https://doi.org/10.1016/j.psj.2022.102129

15. Shapovalov S.O., Buryakov N.P., Kornilova E.V., Zhevnerov A.V., Altukhov T.D., Anikina D.S. Monitoring the quality of incubation eggs of meat crosses of imported and domestic production. Agrarian science. 2024; (12): 89–97 (in Russian). https://doi.org/10.32634/0869-8155-2024-389-12-89-97

16. Ni A. et al. Genetic parameters, reciprocal cross differences, and age-related heterosis of egg-laying performance in chickens. Genetics Selection Evolution. 2023; 55: 87. https://doi.org/10.1186/s12711-023-00862-7

17. Fu M. et al. Genome-Wide Association Study of Egg Production Traits in Shuanglian Chickens Using Whole Genome Sequencing. Genes. 2023; 14(12): 2129. https://doi.org/10.3390/genes14122129

18. Lordelo M., Cid J., Cordovil C.M.D.S., Alves S.P., Bessa R.J.B., Carolino I. A comparison between the quality of eggs from indigenous chicken breeds and that from commercial layers. Poultry Science. 2020; 99(3): 1768–1776. https://doi.org/10.1016/j.psj.2019.11.023

19. Grela E.R., Knaga S., Winiarska-Mieczan A., Zięba G. Effects of dietary alfalfa protein concentrate supplementation on performance, egg quality, and fatty acid composition of raw, freeze-dried, and hardboiled eggs from Polbar laying hens. Poultry Science. 2020; 99: 2256–2265. https://doi.org/10.1016/j.psj.2019.11.030

20. Ketta M., Tůmová E. Eggshell structure, measurements, and quality-affecting factors in laying hens: a review. Czech Journal of Animal Science. 2016; 61(7): 299–309. https://doi.org/10.17221/46/2015-CJAS

21. Rizzi C. A Study on Egg Production and Quality According to the Age of Four Italian Chicken Dual-Purpose Purebred Hens Reared Outdoors. Animals. 2023; 13(19): 3064. https://doi.org/10.3390/ani13193064

22. Gao J. et al. Genome-Wide Association Study of Egg-Laying Traits and Egg Quality in LingKun Chickens. Frontiers in Veterinary Science. 2022; 9: 877739. https://doi.org/10.3389/fvets.2022.877739

23. Haqani M.I. et al. Quantitative trait loci for growth-related traits in Japanese quail (Coturnix japonica) using restriction-site associated DNA sequencing. Molecular Genetics and Genomics. 2021; 296(5): 1147–1159. https://doi.org/10.1007/s00438-021-01806-w

24. Schreiweis M.A., Hester P.Y., Settar P., Moody D.E. Identification of quantitative trait loci associated with egg quality, egg production, and body weight in an F2 resource population of chickens. Animal Genetics. 2006; 37(2): 106–112. https://doi.org/10.1111/j.1365-2052.2005.01394.x

25. Aslam M.L., Bastiaansen J.W.M., Crooijmans R.P.M.A., Vereijken A., Groenen M.A.M. Whole genome QTL mapping for growth, meat quality and breast meat yield traits in turkey. BMC Genetics. 2011; 12: 61. https://doi.org/10.1186/1471-2156-12-61

26. Liao R. et al. Genome-wide association study reveals novel variants for growth and egg traits in Dongxiang blue-shelled and White Leghorn chickens. Animal Genetics. 2016; 47(5): 588–596. https://doi.org/10.1111/age.12456

27. Jin C.F., Chen Y.J., Yang Z.Q., Shi K., Chen C.K. A genomewide association study of growth trait-related single nucleotide polymorphisms in Chinese Yancheng chickens. Genetics and Molecular Research. 2015; 14(4): 15783–15792.

28. Wolc A. et al. Genetic parameters of egg defects and egg quality in layer chickens. Poultry Science. 2012; 91(6): 1292–1298. https://doi.org/10.3382/ps.2011-02130


Review

For citations:


Volkova N.A., Vetokh A.N., Volkova L.A. Identification of SNPs and candidate genes associated with first egg weight in laying hens based on whole-genome genotyping data. Agrarian science. 2025;(11):68-75. (In Russ.) https://doi.org/10.32634/0869-8155-2025-400-11-68-75

Views: 10


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0869-8155 (Print)
ISSN 2686-701X (Online)