4 results on '"Oleksyk TK"'
Search Results
2. Chromosome-Level Genome Assemblies Expand Capabilities of Genomics for Conservation Biology.
- Author
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Totikov A, Tomarovsky A, Prokopov D, Yakupova A, Bulyonkova T, Derezanin L, Rasskazov D, Wolfsberger WW, Koepfli KP, Oleksyk TK, and Kliver S
- Subjects
- Animals, Genomics, High-Throughput Nucleotide Sequencing, Sequence Analysis, DNA, Chromosome Mapping methods, Chromosomes genetics, Endangered Species, Genetic Variation
- Abstract
Genome assemblies are in the process of becoming an increasingly important tool for understanding genetic diversity in threatened species. Unfortunately, due to limited budgets typical for the area of conservation biology, genome assemblies of threatened species, when available, tend to be highly fragmented, represented by tens of thousands of scaffolds not assigned to chromosomal locations. The recent advent of high-throughput chromosome conformation capture (Hi-C) enables more contiguous assemblies containing scaffolds spanning the length of entire chromosomes for little additional cost. These inexpensive contiguous assemblies can be generated using Hi-C scaffolding of existing short-read draft assemblies, where N50 of the draft contigs is larger than 0.1% of the estimated genome size and can greatly improve analyses and facilitate visualization of genome-wide features including distribution of genetic diversity in markers along chromosomes or chromosome-length scaffolds. We compared distribution of genetic diversity along chromosomes of eight mammalian species, including six listed as threatened by IUCN, where both draft genome assemblies and newer chromosome-level assemblies were available. The chromosome-level assemblies showed marked improvement in localization and visualization of genetic diversity, especially where the distribution of low heterozygosity across the genomes of threatened species was not uniform.
- Published
- 2021
- Full Text
- View/download PDF
3. Molecular Phylogeny and Evolution of Amazon Parrots in the Greater Antilles.
- Author
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Kolchanova S, Komissarov A, Kliver S, Mazo-Vargas A, Afanador Y, Velez-Valentín J, de la Rosa RV, Castro-Marquez S, Rivera-Colon I, Majeske AJ, Wolfsberger WW, Hains T, Corvelo A, Martinez-Cruzado JC, Glenn TC, Robinson O, Koepfli KP, and Oleksyk TK
- Subjects
- Amazona genetics, Animals, Brazil, Cuba, Evolution, Molecular, High-Throughput Nucleotide Sequencing, Jamaica, Molecular Sequence Annotation, Phylogeny, Puerto Rico, Amazona classification, DNA, Mitochondrial genetics, Mitochondria genetics, Sequence Analysis, DNA methods
- Abstract
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.
- Published
- 2021
- Full Text
- View/download PDF
4. Genomes of Three Closely Related Caribbean Amazons Provide Insight for Species History and Conservation.
- Author
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Kolchanova S, Kliver S, Komissarov A, Dobrinin P, Tamazian G, Grigorev K, Wolfsberger WW, Majeske AJ, Velez-Valentin J, Valentin de la Rosa R, Paul-Murphy JR, Guzman DS, Court MH, Rodriguez-Flores JL, Martínez-Cruzado JC, and Oleksyk TK
- Subjects
- Animals, Islands, Parrots classification, Transcriptome, Endangered Species, Genome, Parrots genetics
- Abstract
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.
- Published
- 2019
- Full Text
- View/download PDF
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