Sofiia Kolchanova

Sofiia Kolchanova

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

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Sofiia Kolchanova has a total of 130 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    A long-read sequencing approach to high-resolution profiling of bacterioplankton diversity in a shallow freshwater lake

    by Stephanie O. Castro Márquez, Viktor R. Tóth, Sofiia Kolchanova, Walter W. Wolfsberger, Taras K. Oleksyk

    Lake Balaton, a large shallow freshwater lake in Hungary, exhibits diverse bacterioplankton communities influenced by various environmental factors. This study aims to evaluate the bacterial diversity in Lake Balaton using the long-read approach to 16 S rRNA gene sequencing. Water samples were collected from a wide network of 33 locations across the lake’s four basins and analyzed for bacterial community composition. Sequencing results revealed a high taxonomic diversity with significant zonal variations. Dominant families included Comamonadaceae, Burkholderiaceae, and Methylophilaceae. Environmental parameters such as temperature, pH, and CDOM were found to significantly correlate with bacterial abundance and diversity. The study underscores the utility and portability of using the long-read sequencing technology in assessing microbial diversity and provides insights into the ecological dynamics of bacterioplankton in freshwater lakes.


  • Genome-wide association study reveals genetic variants associated with HIV-1C infection in a Botswana study population

    by Andrey K. Shevchenko, Daria V. Zhernakova, Sergey V. Malov, Alexey Komissarov, Sofia M. Kolchanova, Gaik Tamazian, Alexey Antonik, Nikolay Cherkasov, Sergey Kliver, Anastasiia Turenko, et al.

    Although there have been many studies of gene variant association with different stages of HIV/AIDS progression in United States and European cohorts, few gene-association studies have assessed genic determinants in sub-Saharan African populations, which have the highest density of HIV infections worldwide. We carried out genome-wide association studies on 766 study participants at risk for HIV-1 subtype C (HIV-1C) infection in Botswana. Three gene associations (AP3B1, PTPRA, and NEO1) were shown to have significant association with HIV-1C acquisition. Each gene association was replicated within Botswana or in the United States–African American or United States–European American AIDS cohorts or in both. Each associated gene has a prior reported influence on HIV/AIDS pathogenesis. Thirteen previously discovered AIDS restriction genes were further replicated in the Botswana cohorts, extending our confidence in these prior AIDS restriction gene reports. This work presents an early step toward the identification of genetic variants associated with and affecting HIV acquisition or AIDS progression in the understudied HIV-1C afflicted Botswana population. Significance The search for genetic variants associated with resistance or susceptibility to HIV/AIDS already yielded insights that allowed developing therapeutics that contribute to dramatic reduction in AIDS-related comorbidities. Unfortunately, nearly all studies focused on European-descent populations, even though most infections happen in Africa. In this genome-wide association study we explored the genetic background of several hundred individuals from Botswana in search of associations with HIV infection/AIDS progression. We discovered several genetic variant associations in genes implicated in HIV/AIDS pathogenesis. We also confirmed several associations reported in previous research. This study provides valuable data on the influence of human genetic variation on HIV-1C infection and pathogenesis in southern Africa, a region with the world’s largest number of HIV-1 infections.


  • Open Access

    Molecular Phylogeny and Evolution of Amazon Parrots in the Greater Antilles

    by Sofiia Kolchanova, Alexey Komissarov, Sergei Kliver, Anyi Mazo-Vargas, Yashira Afanador, Jafet Velez-Valentín, Ricardo Valentín de la Rosa, Stephanie Castro-Marquez, Israel Rivera-Colon, Audrey J. Majeske, et al.

    Amazon parrots (Amazona spp.) colonized the islands of the Greater Antilles from the Central American mainland, but there has not been a consensus as to how and when this happened. Today, most of the five remaining island species are listed as endangered, threatened, or vulnerable as a consequence of human activity. We sequenced and annotated full mitochondrial genomes of all the extant Amazon parrot species from the Greater Antillean (A. leucocephala (Cuba), A. agilis, A. collaria (both from Jamaica), A. ventralis (Hispaniola), and A. vittata (Puerto Rico)), A. albifrons from mainland Central America, and A. rhodocorytha from the Atlantic Forest in Brazil. The assembled and annotated mitogenome maps provide information on sequence organization, variation, population diversity, and evolutionary history for the Caribbean species including the critically endangered A. vittata. Despite the larger number of available samples from the Puerto Rican Parrot Recovery Program, the sequence diversity of the A. vittata population in Puerto Rico was the lowest among all parrot species analyzed. Our data support the stepping-stone dispersal and speciation hypothesis that has started approximately 3.47 MYA when the ancestral population arrived from mainland Central America and led to diversification across the Greater Antilles, ultimately reaching the island of Puerto Rico 0.67 MYA. The results are presented and discussed in light of the geological history of the Caribbean and in the context of recent parrot evolution, island biogeography, and conservation. This analysis contributes to understating evolutionary history and empowers subsequent assessments of sequence variation and helps design future conservation efforts in the Caribbean.


  • Genome-wide sequence analyses of ethnic populations across Russia

    by Daria V. Zhernakova, Vladimir Brukhin, Sergey Malov, Taras K. Oleksyk, Klaus Peter Koepfli, Anna Zhuk, Pavel Dobrynin, Sergei Kliver, Nikolay Cherkasov, Gaik Tamazian, et al.


  • Open Access

    Whole Genome Sequencing and Re-sequencing of the Sable Antelope (Hippotragus niger): A Resource for Monitoring Diversity inex Situandin SituPopulations

    by Klaus-Peter Koepfli, Gaik Tamazian, David Wildt, Pavel Dobrynin, Changhoon Kim, Paul B. Frandsen, Raquel Godinho, Andrey A Yurchenko, Aleksey Komissarov, Ksenia Krasheninnikova, et al.

    Genome-wide assessment of genetic diversity has the potential to increase the ability to understand admixture, inbreeding, kinship and erosion of genetic diversity affecting both captive (ex situ) and wild (in situ) populations of threatened species. The sable antelope (Hippotragus niger), native to the savannah woodlands of sub-Saharan Africa, is a species that is being managed ex situ in both public (zoo) and private (ranch) collections in the United States. Our objective was to develop whole genome sequence resources that will serve as a foundation for characterizing the genetic status of ex situ populations of sable antelope relative to populations in the wild. Here we report the draft genome assembly of a male sable antelope, a member of the subfamily Hippotraginae (Bovidae, Cetartiodactyla, Mammalia). The 2.926 Gb draft genome consists of 136,532 contigs with an N50 of 45.5 Kbp and 16,931 scaffolds with an N50 of 4.59 Mbp. De novo annotation identified 21,276 protein-coding genes and repetitive sequences encompassing 46.97% of the genome. The discovery of single nucleotide variants (SNVs) was assisted by the re-sequencing of seven additional captive and wild individuals, representing two different subspecies, leading to the identification of 1,987,710 bi-allelic SNVs. Assembly of the mitochondrial genomes revealed that each individual was defined by a unique haplotype and these data were used to infer the mitochondrial gene tree relative to other hippotragine species. The sable antelope genome constitutes a valuable resource for assessing genome-wide diversity and evolutionary potential, thereby facilitating long-term conservation of this charismatic species.


  • Open Access

    Genomes of Three Closely Related Caribbean Amazons Provide Insight for Species History and Conservation

    by Sofiia Kolchanova, Sergei Kliver, Aleksei Komissarov, Pavel Dobrinin, Gaik Tamazian, Kirill Grigorev, Walter W. Wolfsberger, Audrey J. Majeske, Jafet Velez-Valentin, Ricardo Valentin de la Rosa, et al.

    Islands have been used as model systems for studies of speciation and extinction since Darwin published his observations about finches found on the Galapagos. Amazon parrots inhabiting the Greater Antillean Islands represent a fascinating model of species diversification. Unfortunately, many of these birds are threatened as a result of human activity and some, like the Puerto Rican parrot, are now critically endangered. In this study we used a combination of de novo and reference-assisted assembly methods, integrating it with information obtained from related genomes to perform genome reconstruction of three amazon species. First, we used whole genome sequencing data to generate a new de novo genome assembly for the Puerto Rican parrot (Amazona vittata). We then improved the obtained assembly using transcriptome data from Amazona ventralis and used the resulting sequences as a reference to assemble the genomes Hispaniolan (A. ventralis) and Cuban (Amazona leucocephala) parrots. Finally, we, annotated genes and repetitive elements, estimated genome sizes and current levels of heterozygosity, built models of demographic history and provided interpretation of our findings in the context of parrot evolution in the Caribbean.


  • DIVERSITY OF GENOMIC VARIANTS AND POPULATION GENETICS OF ETHNIC AND REGIONAL GROUPS ACROSS RUSSIA

    by Theodosius Dobzhansky Center for Genome Bioinformatics St. Petersburg State University, V. Brukhin, D.V. Zhernakova, T.K. Malov, T.K. Oleksyk, K.P. Koepfli, A. Zhuk, P. Dobrynin, S. Kliver, N. Cherkasov, et al.