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      Allele Diversity of the Major Histocompatibility Complex in the Common Hamster (Cricetus cricetus) in Urban and Rural Populations

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          Abstract

          Abstract

          Based on the results of targeted sequencing on the Illumina platform we compared the allelic diversity of exon 2 of the DRB gene in urban (city of Simferopol) and rural populations of the common hamster. The urban population significantly differs from the rural one in terms of the composition and diversity of gene alleles. For individuals living in the city, a larger number of alleles, higher values of haplotype and nucleotide diversity indices, and a smaller proportion of individuals with a homozygous genotype were noted. Both populations are characterized by a significant excess of non-synonymous substitutions over synonymous ones and almost every allele of a gene corresponds to a different amino acid sequence. However, the influence of positive selection on the diversity of variants of antigen-binding sites in the alleles of the DRB gene in urban conditions is much more pronounced. The data suggest that resistance of common hamsters living in specific and varied conditions of the urban environment to various kinds of pathogenic load is higher than in rural populations.

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

            The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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              Arlequin (version 3.0): An integrated software package for population genetics data analysis

              Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework. Arlequin 3 introduces a completely new graphical interface written in C++, a more robust semantic analysis of input files, and two new methods: a Bayesian estimation of gametic phase from multi-locus genotypes, and an estimation of the parameters of an instantaneous spatial expansion from DNA sequence polymorphism. Arlequin can handle several data types like DNA sequences, microsatellite data, or standard multi-locus genotypes. A Windows version of the software is freely available on http://cmpg.unibe.ch/software/arlequin3.
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                Author and article information

                Journal
                Biology Bulletin
                Biol Bull Russ Acad Sci
                Pleiades Publishing Ltd
                1062-3590
                1608-3059
                October 2022
                October 04 2022
                October 2022
                : 49
                : 5
                : 428-437
                Article
                10.1134/S1062359022050077
                0fc6810f-e20e-4526-85c3-50164e393b2c
                © 2022

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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