The poultry industry, a globally fast growing agricultural sector, provides affordable animal protein due to high efficiency. Gallus gallus domesticus are the most common domestic birds. Hybrid chicken breeds (crosses) are widely used to achieve high productivity. Maintaining industry competitiveness requires constant genetic selection of parent stock to improve performance traits. Genetic studies, which are essential in modern breeding programs, help identify genome variants linked to economically important traits and preserve population health. Next-generation sequencing (NGS) has identified millions of single nucleotide polymorphisms (SNPs) and insertions/deletions (INDELs), enabling detection of genome-wide regions associated with selection traits. Recent studies have pinpointed such regions using broiler lines, laying hen lines, or pooled genomic data. This review discusses advances in chicken genomic and transcriptomic research focused on traits enhancing meat breed performance and reproductive abilities. Special attention is given to transcriptome studies revealing regulatory mechanisms and key signaling pathways involved in artificial molting, as well as metagenome studies investigating resistance to infectious diseases and climate adaptation. Finally, a dedicated section highlights CRISPR/Cas genomic editing techniques for targeted genome modification in chicken genomics.

Роль полиморфных вариантов генов аргиназ ( ARG1, ARG2 ), участвующих в метаболизме бета-2-агонистов, в развитии и течении бронхиальной астмы

Asthma is a common multifactorial disease characterized by chronic inflammation of the respiratory tract. Insufficient control of asthma symptoms significantly reduces the patient’s quality of life, leads to the risk for more severe disease and disability. It is important to research the role of gene polymorphisms encoding proteins involved in various stages of histamine metabolism, which is one of the known mediators of allergic reactions.The aim of the study was to investigate histamine receptor gene polymorphisms (HRH1, HRH2, HRH3, HRH4) in children with asthma and the control group.Methods. The study of HRH1 (rs901865), HRH2 (rs2067474), HRH3 (rs3787429), HRH4 (rs11665084) gene polymorphisms in asthma patients and healthy individuals aged 2 - 17 years of different ethnicities living in the Republic of Bashkortostan was carried out. Genotyping of polymorphisms was performed by polymerase chain reaction with fluorescence detection.Results. In Tatars, rs901865*CT genotype and rs901865*T allele of HRH1 gene were associated with asthma development and decrease in spirometry measures (MEF25). In Tatars, a statistically significant model of the interaction between HRH1 (rs901865), HRH3 (rs3787429), and HRH4 (rs11665084) gene polymorphisms that leads to the risk of asthma was established.Conclusion. The results of this study reveal certain aspects of asthma pathogenesis and suggest the possible involvement of polymorphic variants of histamine receptors genes HRH1, HRH3, HRH4 in the development of asthma.

Bronchial asthma (BA) is a common severe and disabling multifactorial disease. Up to 50–60% of differences in sensitivity to therapy in patients with BA is due to genetic variability. We...

Asthma is a common complex disease with susceptibility defined through an interplay of genetic and environmental factors. Responsiveness to asthma treatment varies between individuals and is largely determined by genetic variability. The polygenic score (PGS) approach enables an individual risk of asthma and respective response to drug therapy. PGS models could help to predict the individual risk of asthma using 26 SNPs of drug pathway genes involved in the metabolism of glucocorticosteroids (GCS), and beta-2-agonists, antihistamines, and antileukotriene drugs associated with the response to asthma treatment within GWAS were built. For PGS, summary statistics from the Trans-National Asthma Genetic Consortium GWAS meta-analysis, and genotype data for 882 individuals with asthma/controls from the Volga-Ural region, were used. The study group was comprised of Russian, Tatar, Bashkir, and mixed ethnicity individuals with asthma (N = 378) aged 2–18 years. and individuals without features of atopic disease (N = 504) aged 4–67 years from the Volga-Ural region. The DNA samples for the study were collected from 2000 to 2021. The drug pathway genes’ PGS revealed a higher odds for childhood asthma risk (p = 2.41 × 10⁻¹²). The receiver operating characteristic (ROC) analysis showed an Area Under the Curve, AUC = 0.63. The AUC of average significance for moderate-to-severe and severe asthma was observed (p = 5.7 × 10⁻⁹, AUC = 0.64). Asthma drug response pathway gene variant PGS models may contribute to the development of modern approaches to optimise asthma diagnostics and treatment.