Modern breeding of agricultural animals has transitioned from phenotype-based selection to high-precision genomic prediction based on hundreds of thousands of DNA markers. This has not only accelerated the development of breeds with target traits but also enhanced their adaptability and stress resistance through the design of balanced selection programs. In this context, the present work involved the selection and validation of various DNA markers associated with adaptation potential in rabbits (Oryctolagus cuniculus) and fur-bearing animals (using the sable Martes zibellina as an example). Studies were conducted using PCR and real-time PCR. In the population-genetic study of female sables (n=9, yearlings born in 2023; n=5, two-year-olds born in 2022; n=7, born before 2022), highly polymorphic markers ((ACC)6G, LTR-BERV-K1) were identified, demonstrating high discriminatory power in analyzing differences between animal generations. In the study of feed additive effectiveness in rabbits (n=12, Rodnik cross), reduced expression of metabolic genes g6pd and slc15a1 was observed when using a vitamin-mineral premix during the fattening period. The micronucleus test revealed the potential genome-destabilizing effect of the premix on blood cells, despite the absence of a statistically significant effect on body weight gain. In the behavior genetics study (n=8, rabbits of the Soviet Chinchilla and White Giant breeds), breed and sex differences in the expression of glutamatergic system genes grik3 and gria2 were discovered, opening prospects for selection aimed at reducing aggression in captive animal populations. The proposed approaches create new opportunities for fur farming and rabbit breeding through targeted selection of DNA markers to control genetic variability across generations and the functional activity of key metabolic network components.
In recent years, the research activities of domestic and foreign specialists in the field of genetics and breeding of animals have been focused on the search for and implementation of innovative methodological approaches that have signicant potential for interaction with traditional breeding methods. Integrating these...
V. K. Fedorov, N. Shirokova· Glavnyj zootehnik (Head of A...· 0 citations
An analysis of current research on the use of molecular genetic markers in addressing taxonomic issues within the genus Malus Mill. and in identifying the genetic variability of apple genetic resource collections has been carried out. The prospects for their application in marker‑assisted selection, as well as in genet...
M. Polezhaeva, M. V. Modorov, S. Makarenko· Contemporary Horticulture· 0 citations
Background:
Genetic improvement of indigenous chickens in low- and middle-income countries are commonly constrained by limited population size, incomplete pedigree records, and restricted access to advanced genomic tools. Under such conditions, integrating phenotypic selection with targeted genotypic validation may pro...
Erliana Novitasari, R. Kusumaningrum, Galih Pambuko et al.· Open Veterinary Journal· 0 citations
Vietnam harbors exceptional genetic diversity among at least 26 indigenous pig breeds. We analyzed genome-wide single-nucleotide polymorphism (SNP) data from 90 animals representing 15 local Vietnamese breeds and six Landrace pigs using principal component analysis, the windowed fixation index (FST), cross-population e...
Van Thanh Nguyen, Ba Văn Nguyễn, D. N. Do· International Journal of Mol...· 0 citations
Simple Summary Identification of genetic variability and genomic regions under selection pressure has significant potential not only for sustaining animal production but also for comprehensive breeding programs to address future challenges. As one of the native sheep breeds of Iraq, Hamdani (HAM) sheep are also found i...
Ebru Demir, F. Perini, E. Demir et al.· Biology· 0 citations
Photoperiod sensitivity is one of the main factors limiting soybean adaptation to high-latitude conditions. The aim of this study was to perform marker-assisted selection (MAS) at the E1, E3, E4, and E7 loci in three soybean F2 populations (F10, F13, and U4), followed by field evaluation of their F3 progenies in Northe...
Bekzhan Maikotov, G. Zhumaliyeva, S. Didorenko et al.· Life· 0 citations
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