4 research outputs found

    APPLICATION OF INFORMATION SYSTEMS AND TOOLS IN BIOINFORMATICS

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    The pace at which scientific data is produced and disseminated has never been as high as it is currently. Modern sequencing technologies make it possible to obtain the genome of a specific organism in a few days, and the genome of a bacterial organism in less than a day, and therefore researchers from the field of life science are faced with a huge amount of data that needs to be analyzed. In this connection, various fields of science are converging with each other, giving rise to new disciplines. So, bioinformatics is one of these fields, it is a scientific discipline that has been actively developing over the past decades and uses IT tools and methods to solve problems related to the study of biological processes. In particular, a crucial role in the field of bioinformatics is played by the development of new algorithms, tools and the creation of new databases, as well as the integration of extremely large amounts of data. The rapid development of bioinformatics has made it possible to conduct modern biological research. Bioinformatics can help a biologist to extract valuable information from biological data by using tools to process them. Despite the fact that bioinformatics is a relatively new discipline, various web and computer tools already exist, most of which are freely available. This is a review article that provides an exhaustive overview of some of the tools for biological analysis available to a biologist, as well as describes the key role of information systems in this interdisciplinary field

    Plant diversity and transcriptional variability assessed by retrotransposon-based molecular markers

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    Molecular markers have become crucial part of genetics due to their use in various branches of it, such as positional cloning, which includes identification of genes responsible for desired traits and management of backcrossing programs, as well as in modern plant breeding, and human forensics. Retrotransposons are a major component of all eukaryotic genomes, which makes them suited as molecular markers. The retrotransposons comprise most of large genomes among plants; differences in their prevalence explain most of the variation in genome size. These ubiquitous transposable elements are scattered in all of genome and their replicative transposition allows insert itself into a genome without deletion of the original elements. Retrotransposon activity can occur during development, cell differentiation and stress, and a source of chromatin instability and genomic rearrangements. Both the overall structure of retrotransposons and the domains responsible for the various phases of their replication are highly conserved in all eukaryotes. A high proportion of the retroelements have lost their autonomous transposition ability, either by point mutations and/or deletions, many of them seem to embody defective elements with deletions. Various molecular marker systems have been developed that exploit the ubiquitous nature of these genetic elements and their property of stable integration into dispersed chromosomal loci that are polymorphic within species. The utility of LTR-retrotransposon-based markers, not only for genetic analysis and map construction, in addition also for the isolation and characterization of LTR retrotransposons, such as the long terminal repeats or the internal genes they contain. This review encompasses description of the range of retrotransposon-based marker systems established for plants and evaluation of the role of retrotransposon markers in genetic diversity analysis of plant species

    Genetic Diversity in Natural Populations of Rhodiola Species of Different Adaptation Strategies

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    Representatives of the Crassulaceae family’s genus Rhodiola are succulents, making them distinctive in a changing environment. One of the most significant tools for analyzing plant resources, including numerous genetic processes in wild populations, is the analysis of molecular genetic polymorphism. This work aimed to look at the polymorphisms of allelic variations of the superoxide dismutase (SOD) and auxin response factor (ARF) gene families, as well as the genetic diversity of five Rhodiola species, using the retrotransposons-based fingerprinting approach. The multi-locus exon-primed intron-crossing (EPIC-PCR) profiling approach was used to examine allelic variations in the SOD and ARF gene families. We implemented the inter-primer binding site (iPBS) PCR amplification technique for genome profiling, which demonstrated a significant level of polymorphism in the Rhodiola samples studied. Natural populations of Rhodiola species have a great capacity for adaptation to unfavorable environmental influences. The genetic variety of wild populations of Rhodiola species leads to their improved tolerance of opposing environmental circumstances and species evolutionary divergence based on the diversity of reproductive systems

    Application Of Information Systems And Tools In Bioinformatics

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    The pace at which scientific data is produced and disseminated has never been as high as it is currently. Modern sequencing technologies make it possible to obtain the genome of a specific organism in a few days, and the genome of a bacterial organism in less than a day, and therefore researchers from the field of life science are faced with a huge amount of data that needs to be analyzed. In this connection, various fields of science are converging with each other, giving rise to new disciplines. So, bioinformatics is one of these fields, it is a scientific discipline that has been actively developing over the past decades and uses IT tools and methods to solve problems related to the study of biological processes. In particular, a crucial role in the field of bioinformatics is played by the development of new algorithms, tools and the creation of new databases, as well as the integration of extremely large amounts of data. The rapid development of bioinformatics has made it possible to conduct modern biological research. Bioinformatics can help a biologist to extract valuable information from biological data by using tools to process them. Despite the fact that bioinformatics is a relatively new discipline, various web and computer tools already exist, most of which are freely available. This is a review article that provides an exhaustive overview of some of the tools for biological analysis available to a biologist, as well as describes the key role of information systems in this interdisciplinary field
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