Alexandra Abdelmanova

Dr. Alexandra Abdelmanova


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 September 2021 in Biology
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AAAlexandra Abdelmanova
Alexandra Abdelmanova
Arsen DotsevArsen Dotsev
Arsen Dotsev
Michael N. RomanovMichael N. Romanov
Michael N. Romanov
YSYuliya Silyukova
Yuliya Silyukova
EGElena A. Gladyr
Elena A. Gladyr
Natalia ZinovievaNatalia Zinovieva
Natalia Zinovieva
Comparison of genomic footprints in chicken breeds with different selection history is a powerful tool in elucidating genomic regions that have been targeted by recent and more ancient selection. In the present work, we aimed at examining and comparing the trajectories of artificial selection in the genomes of the native egg-type Russian White (RW) and meat-type White Cornish (WC) breeds. Combining three different statistics (top 0.1% SNP by FST value at pairwise breed comparison, hapFLK analysis, and identification of ROH island shared by more than 50% of individuals), we detected 45 genomic regions under putative selection including 11 selective sweep regions, which were detected by at least two different methods. Four of such regions were breed-specific for each of RW breed (on GGA1, GGA5, GGA8, and GGA9) and WC breed (on GGA1, GGA5, GGA8, and GGA28), while three remaining regions on GGA2 (two sweeps) and GGA3 were common for both breeds. Most of identified genomic regions overlapped with known QTLs and/or candidate genes including those for body temperatures, egg productivity, and feed intake in RW chickens and those for growth, meat and carcass traits, and feed efficiency in WC chickens. These findings were concordant with the breed origin and history of their artificial selection. We determined a set of 188 prioritized candidate genes retrieved from the 11 overlapped regions of putative selection and reviewed their functions relative to phenotypic traits of interest in the two breeds. One of the RW-specific sweep regions harbored the known domestication gene, TSHR. Gene ontology and functional annotation analysis provided additional insight into a functional coherence of genes in the sweep regions. We also showed a greater candidate gene richness on microchromosomes relative to macrochromosomes in these genomic areas. Our results on the selection history of RW and WC chickens and their key candidate genes under selection serve as a profound information for further conservation of their genomic diversity and efficient breeding.

30 September 2022 in Genes
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AEAhmed Easa
Ahmed Easa
MSMarina Selionova
Marina Selionova
MAMagomet Aibazov
Magomet Aibazov
TMTatiana Mamontova
Tatiana Mamontova
Alexander A. SermyaginAlexander A. Sermyagin
Alexander A. Sermyagin
Natalia ZinovievaNatalia Zinovieva
Natalia Zinovieva
The objective of this study was to identify the SNPs and candidate genes related to body weight and seven body conformation traits at the age of 8 months in the Russian aboriginal Karachai goats (n = 269) by conducting genome-wide association studies (GWAS), using genotypes generated by Goat SNP BeadChip (Illumina Inc., USA). We identified 241 SNPs, which were significantly associated with the studied traits, including 47 genome-wide SNPs (p < 10−5) and 194 suggestive SNPs (p < 10−4), distributed among all goat autosomes except for autosome 23. Fifty-six SNPs were common for two and more traits (1 SNP for six traits, 2 SNPs for five traits, 12 SNPs for four traits, 20 SNPs for three traits, and 21 SNPs for two traits), while 185 SNPs were associated with single traits. Structural annotation within a window of 0.4 Mb (±0.2 Mb from causal SNPs) revealed 238 candidate genes. The largest number of candidate genes was identified at Chr13 (33 candidate genes for the five traits). The genes identified in our study were previously reported to be associated with growth-related traits in different livestock species. The most significant genes for body weight were CRADD, HMGA2, MSRB3, MAX, HACL1 and RAB15, which regulate growth processes, body sizes, fat deposition, and average daily gains. Among them, the HMGA2 gene is a well-known candidate for prenatal and early postnatal development, and the MSRB3 gene is proposed as a candidate gene affecting the growth performance. APOB, PTPRK, BCAR1, AOAH and ASAH1 genes associated with withers height, rump height and body length, are involved in various metabolic processes, including fatty acid metabolism and lipopolysaccharide catabolism. In addition, WDR70, ZBTB24, ADIPOQ, and SORCS3 genes were linked to chest width. KCNG4 was associated with rump height, body length and chest perimeter. The identified candidate genes can be proposed as molecular markers for growth trait selection for genetic improvement in Karachai goats.

14 August 2020 in Genes
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Journal Article
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AAAlexandra Abdelmanova
Alexandra Abdelmanova
VKVeronika Kharzinova
Veronika Kharzinova
VVValeriya Volkova
Valeriya Volkova
AMArina Mishina
Arina Mishina
Arsen DotsevArsen Dotsev
Arsen Dotsev
Natalia ZinovievaNatalia Zinovieva
Natalia Zinovieva
Analysis of ancient and historical DNA has great potential to trace the genetic diversity of local cattle populations during their centuries-long development. Forty-nine specimens representing five cattle breeds (Kholmogor, Yaroslavl, Great Russian, Novgorod, and Holland), dated from the end of the 19th century to the first half of the 20th century, were genotyped for nine polymorphic microsatellite loci. Using a multiple-tube approach, we determined the consensus genotypes of all samples/loci analysed. Amplification errors, including allelic drop-out (ADO) and false alleles (FA), occurred with an average frequency of 2.35% and 0.79%, respectively. A significant effect of allelic length on ADO rate (r2 = 0.620, p = 0.05) was shown. We did not observe significant differences in genetic diversity among historical samples and modern representatives of Kholmogor and Yaroslavl breeds. The unbiased expected heterozygosity values were 0.726–0.774 and 0.708–0.739; the allelic richness values were 2.716–2.893 and 2.661–2.758 for the historical and modern samples, respectively. Analyses of FST and Jost’s D genetic distances, and the results of STRUCTURE clustering, showed the maintenance of a part of historical components in the modern populations of Kholmogor and Yaroslavl cattle. Our study contributes to the conservation of biodiversity in the local Russian genetic resources of cattle.

30 July 2021 in Diversity
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Journal Article
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AAAlexandra Abdelmanova
Alexandra Abdelmanova
VKVeronika Kharzinova
Veronika Kharzinova
VVValeriya Volkova
Valeriya Volkova
Arsen DotsevArsen Dotsev
Arsen Dotsev
Alexander A. SermyaginAlexander A. Sermyagin
Alexander A. Sermyagin
Natalia ZinovievaNatalia Zinovieva
Natalia Zinovieva
The comparative molecular genetic study of museum and modern representatives of cattle breeds can help to elucidate the origin and maintenance of historical genetic components in modern populations. We generated the consensus genotypes for 11 microsatellite loci for 24 museum samples of Kalmyk, Kyrgyz, and Kazakh cattle, dated from the first quarter of the 20th century, and compared them with those of modern Kalmyk, Kyrgyz, and Kazakh white-headed breeds. The level of genetic diversity of the modern Kalmyk and Kyrgyz cattle (uHe = 0.771–0.778) was similar to those observed in the museum samples (uHe = 0.772–0.776), while a visible decrease in genetic variability in the modern Kazakh white-headed breed compared to museum Kazakh cattle was detected (uHe = 0.726 and 0.767, respectively). The PCA plot, FST- and Jost’s D-based networks, and STRUCTURE clustering provided strong evidence of the maintenance of the historical genetic background in modern populations of Kalmyk and Kyrgyz cattle. In spite of the allele pool of Kazakh white-headed cattle having undergone great changes compared to the museum Kazakh cattle, several animals still carry the visible aspect of the historical genetic components. Our results can be used for the selection of individuals for the creation of gene banks and may significantly improve the efficiency of conservation programs aimed at preserving genetic diversity in the national genetic resources of cattle.

1 September 2019 in Sel'skokhozyaistvennaya Biologiya
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ФЭФгбну Федеральный Научный Центр Животноводства — Виж Им. Академика Л.к. Эрнста
Фгбну Федеральный Научный Центр Животноводства — Виж Им. Академика Л.к. Эрнста
НЗН.а. Зиновьева
Н.а. Зиновьева
АСА.а. Сермягин
А.а. Сермягин
АДА.в. Доцев
А.в. Доцев
AKAnatolii Kaledin
Anatolii Kaledin
ФТФгбоу Впо Российский Государственный Аграрный Университет—Мсха Им. К.а. Тимирязева
Фгбоу Впо Российский Государственный Аграрный Университет—Мсха Им. К.а. Тимирязева
генетические ресурсы животных: развитие исследований аллелофонда российских пород крупного рогатого скота — миниобзор, Н.А. ЗИНОВЬЕВА, А.А. СЕРМЯГИН, А.В. ДОЦЕВ, О.И. БОРОНЕЦКАЯ, Л.В. ПЕТРИКЕЕВА, А.С. Абдельманова, G. BREM

16 July 2022 in Diversity
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VVValeriya Volkova
Valeriya Volkova
AAAlexandra Abdelmanova
Alexandra Abdelmanova
Tatiana DeniskovaTatiana Deniskova
Tatiana Deniskova
OROlga S. Romanenkova
Olga S. Romanenkova
AKAbdusalam A. Khozhokov
Abdusalam A. Khozhokov
Natalia ZinovievaNatalia Zinovieva
Natalia Zinovieva
The Dagestan Mountain (DM) cattle breed was established to provide cheese and milk products to mountain dwellers in the specific conditions of the Republic of Dagestan in Southern Russia. Only 650 head of DM cattle were registered in 2020, and their “breed purity” is questionable. We aimed to assess the genetic diversity and population structure of modern DM cattle using short tandem repeat (STR) markers. The sample included 150 animals collected from private owners in Dagestan during a scientific expedition (n = 32) and provided by a gene pool farm (n = 118). An additional 166 samples from other cattle breeds distributed in the breeding zone of DM cattle were used as the comparison groups. The genotypes for the 11 STR loci recommended by ISAG were obtained using a genetic analyzer. We identified a high level of genetic diversity as revealed by allelic richness calculations (Ar = 6.82 vs. 4.38–5.82 in other cattle breeds) and observed heterozygosity indices (uHe = 0.76 vs. 0.65–0.72). Based on the STRUCTURE results, animals with low levels of admixture with other breeds were found within the DM cattle, which can be considered as candidates for use in germplasm conservation programs.