| Autor: |
Bakoev SY; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Korobeinikova AV; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Mishina AI; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Kabieva SS; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Mitrofanov SI; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Ivashechkin AA; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Akinshina AI; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Snigir EA; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Yudin SM; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Yudin VS; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Getmantseva LV; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia., Anderzhanova EA; Federal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical Biological Agency (Centre for Strategic Planning of FMBA of Russia), Pogodinskaya Street, 10, Bld. 1, 119121 Moscow, Russia. |
| Abstrakt: |
The neurobiological systems of maintenance and control of behavioral responses result from natural selection. We have analyzed the selection signatures for single nucleotide variants (SNV) of the genes of oxytocin ( OXT , OXTR ) and vasopressin ( AVP , AVPR1A , AVPR1B ) systems, which are associated with the regulation of social and emotional behavior in distinct populations. The analysis was performed using original WGS (whole genome sequencing) data on Eastern Slavs (SlEast), as well as publicly available data from the 1000 Genomes Project on GBR, FIN, IBR, PUR, BEB, CHB, and ACB populations (the latter were taken as reference). To identify selection signatures, we rated the integrated haplotype scores (iHS), the numbers of segregating sites by length (nSl), and the integrated haplotype homozygosity pooled (iHH12) measures; the fixation index Fst was implemented to assess genetic differentiation between populations. We revealed that the strongest genetic differentiation of populations was found with respect to the AVPR1B gene, with the greatest differentiation observed in GRB (Fst = 0.316) and CHB (Fst = 0.325) in comparison to ACB. Also, high Fst values were found for SNVs of the AVPR1B gene rs28499431, rs33940624, rs28477649, rs3883899, and rs28452187 in most of the populations. Selection signatures have also been identified in the AVP , AVPR1A , OXT , and OXTR genes. Our analysis shows that the OXT , OXTR , AVP , AVPR1A , and AVPR1B genes were subject to positive selection in a population-specific process, which was likely contributing to the diversity of adaptive emotional response types and social function realizations. |
