Examination of Runs of Homozygosity Distribution Patterns and Relevant Candidate Genes of Potential Economic Interest in Russian Goat Breeds Using Whole-Genome Sequencing
Here, we present the first attempt of elucidating the ROH landscape and signatures of selection in Russian local goat breeds using WGS analysis. Our findings will pave the way for further insights into the genetic mechanisms underlying adaption and economically important traits in native goats.
Authors
- S. N. Petrov (ORCID: https://orcid.org/0000-0001-5130-677X)
- Alexandra S. Abdelmanova (ORCID: https://orcid.org/0000-0003-4752-0727)
- Michael N Romanov (ORCID: https://orcid.org/0000-0003-3584-4644)
- Alexey N Frolov (ORCID: https://orcid.org/0000-0003-4525-2554)
- С. В. Лебедев (ORCID: https://orcid.org/0000-0001-9485-7010)
- Darren Karl Griffin (ORCID: https://orcid.org/0000-0001-7595-3226)
- Natalia Anatolievna Zinovieva (ORCID: https://orcid.org/0000-0003-4017-6863)
- Igor V. Gusev (ORCID: https://orcid.org/0000-0002-2346-4313)
- Anastasiya Dmitrievna Solovieva
- Е. А. Гладырь (ORCID: https://orcid.org/0000-0002-5210-8932)
- Tatiana Evgenievna Deniskova (ORCID: https://orcid.org/0000-0002-5809-1262)
- Arsen Vladimirovich Dotsev (ORCID: https://orcid.org/0000-0003-3418-2511)
- Olga A. Koshkina (ORCID: https://orcid.org/0000-0003-4830-6626)
- N. A. Churbakova (ORCID: https://orcid.org/0009-0006-1061-2715)
- Stanislav Platonov (ORCID: https://orcid.org/0000-0002-9806-412X)
- Maxim A. Vladimirov
Institutions
- University of London (GB)
- Royal Veterinary College (GB)
- Kasetsart University (TH)
- University of Kent (GB)
- Federal Scientific Center for Animal Husbandry named after Academician L.K. Ernst (RU)
- Federal Scientific Center for Biological Systems and Agricultural Technologies of the Russian Academy of Sciences (RU)
Publication Details
- Journal
- Genes
- Published
- 2025-05-24
- DOI
- https://doi.org/10.3390/genes16060631
- Citations
- 3
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 5.45
Funders
- Russian Science Foundation