Аннотации статей. Том 62, 2026 г., № 8
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Pomortsev, A.A., Lyalina, E.V.б Tereshchenko, N.A.
Ethiopia as a Secondary Center of Genetic Diversity of Cultivated Barley (Hordeum vulgare L.).
DOI: 10.1134/S1022795426700365
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Igonina, E.V., Hu, I., Abilev, S.K. et al.
Expression of Oxidative Stress Genes soxS and katG and SOS Response Genes recA and colD in Escherichia coli, Induced by 8-Methoxypsoralen and Ultraviolet (365 nm).
DOI: 10.1134/S1022795426700377
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Novikova, S.E., Tolstova, T.V., Dotsenko, E.D. et al.
Understudied Proteome Proteins of the Nuclear Fraction in HL-60 Cells.
DOI: 10.1134/S1022795426700389
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Hosid, S.L., Onishchuk, O.P., Kurchak, O.N. et al.
Genomic Organization of the Goat’s Rue Rhizobia (Neorhizobium galegae) Biovars Differing in Host Specificity.
DOI: 10.1134/S1022795426700390
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Razumova, O.V., Belousova, M.K., Chikida, N.N. et al.
Molecular-Cytogenetic Characterization of Spontaneous Fertile Aegilops biuncialis–Wheat Hybrids.
DOI: 10.1134/S1022795426700407
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Shovski, A.V., Koshkina, O.A., Deniskova, T.E. et al.
Study of Genetic Resistance to Scrapie in Sheep of the Gene Pool Herd of the Southern Meat Breed and in Their First Generation (F1) Crossbreeds with Katumskaya Breed by the Prion Protein Gene (PRNP).
DOI: 10.1134/S1022795426700420
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Gusarova, A.A., Trifonova, E.A., Korneeva, R.A. et al.
Associations of Polymorphic Variants of the ABO Gene with the Development of the Severe Course of COVID-19.
DOI: 10.1134/S1022795426700444
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Nikanorova, A.A., Pshennikova, V.G., Teryutin, F.M. et al.
The Impact of Traditional Lifestyle on the Distribution of Allelic Frequencies of the UCP1 and UCP3 Thermogenesis Genes in Indigenous Peoples of Siberia.
DOI: 10.1134/S1022795426700456
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Rozanov, V.A., Kasyanov, E.D., Pinakhina, D.V. et al.
GWAS of Suicidal Phenotypes in Patients with Depression of Slavonic Ancestry Point on Neurodevelopment Genes and Galactose Metabolism.
DOI: 10.1134/S1022795426700468
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Loginova, A.N., Achkasov, S.I., Shubin, V.P. et al.
Germline Variants in Russian Patients with MUTYH-Associated Polyposis.
DOI: 10.1134/S102279542670047X
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Malyarchuk, B.A., Pokhilyuk, N.V.
MTHFR Gene Polymorphism in Indigenous Populations of Siberia in Relation to Sensitivity to Mercury.
DOI: 10.1134/S1022795426700481
Translated version (Russ J Genet. Volume 62, issue 8, 2026):
Pavlova, N.I., Bochurov, A.A. & Krylov, A.V.
Association of the rs2241766 Polymorphism of the ADIPOQ Gene with Anthropometric Indicators of Obesity (BMI, WHR, WHtR) in the Yakut Population.
DOI: 10.1134/S1022795426700493
Статьи, опубликованные только в Russian J. of Genetics, № 8 – 2026 г.
Genetic Variation and Stability Analysis in Diverse Groundnut (Arachis hypogea L.) Cultivars under Drought Stress
1 ICAR-Central Arid Zone Research Institute, 342003, Jodhpur, Rajasthan, India
2 Sri Karan Narendra Agriculture University, 303329, Jobner, Machhar, Rajasthan, India
3 Indian Institute of Maize Research, 141008, Ludhiana, Punjab, India
4 ICAR-Central Institute of Post-harvest Engineering and Technology, Regional Station, 152116, Abohar, Punjab, India
Correspondence to K. B. Choudhary or M. K. Samota
Climate change has led to drought stresses recurring in different crops. Drought stress adversely impacts ground nut production. Ground nuts need to be explored for genetic variation for drought tolerance. This study evaluated 60 groundnut genotypes of three growth habits (Spanish bunch, Virginia bunch and Virginia runner) to identify drought-tolerant genotypes. Artificial drought was induced using PEG-6000 (10 and 20%) and different traits like germination percentage, root length, shoot length, fresh weight, and dry weight were observed. Results revealed the significant influence of G × E interaction on most traits, indicating the reliance of genotypic performance on the environment. All traits showed reduction under drought stress treatments. Interaction effects between growth habits and drought environment varied for specific traits, suggesting diverse responses of genotypes based on growth habits. Spanish bunch genotypes generally outperformed Virginia bunch and Virginia runner genotypes in all traits across the environments. Biplots were able to capture high proportion of variation (96–99%). The stable genotypes TG 37A, RG-702, RG-628, RG-584, and ICGV-6119 demonstrated consistency across all traits and can be potentially exploited for enhancing drought tolerance in groundnut breeding programs.
DOI: 10.1134/S1022795426700419
К статье на сайте SpringerLink
Deciphering the miRNA Transcriptome of Skeletal Muscle with Age during Chinese Giant Salamander (Andrias davidianus) Development
College of Animal Science and Technology, Henan University of Science and Technology, 471000, Henan, China
Correspondence to Y. Huang
The growth and development of skeletal muscle is an important factor that affects animal body size and weight and is elaborately controlled by numerous genetic and nutritional factors. MiRNAs have been shown to be important regulators and have received extensive attention in relation to the growth and development of skeletal muscle. However, the reports of miRNAs regulating the growth and development of skeletal muscle in A. davidianus remain unclear. In this study, through RNA-seq analysis of skeletal muscles across five development stages of A. davidianus at 0.5Y, 1Y, 2Y, 3Y and 4Y, miRNA transcriptomes were systematically investigated. In total, 474 known miRNAs and 116 novel miRNAs were screened and identified among the five groups. In the 1Y vs. 0.5Y comparison group, 117 significantly differentially expressed miRNAs were found to target 9881 genes; in the 2Y vs. 0.5Y comparison group, 126 significantly differentially expressed miRNAs were found to target 11 200 genes; in the 3Y vs. 0.5Y comparison group, 123 significantly differentially expressed miRNAs were screened to target 9889 genes; in the 4Y vs. 0.5Y comparison group, 116 significantly differentially expressed miRNAs were screened to target 10 458 genes. Subsequently, GO and KEGG analyses revealed that these target genes were associated with energy metabolism and substance metabolism in the muscle development of A. davidianus. Additionally, dual-luciferase reporter assays indicated that cfa-miR-217_R-2 could directly target the beta-actin gene. Our work helps to understand miRNA function across A. davidianus age-related skeletal muscle development stages, and lays a foundation for improving the growth speed of artificial molecular breeding of A. davidianus in the future.
DOI: 10.1134/S1022795426700432
К статье на сайте SpringerLink