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Vol 52, No 7 (2016)

Article

On the 50th anniversary of the Vavilov Society of Geneticists and Breeders

Shestakov S.V., Inge-Vechtomov S.G.
Russian Journal of Genetics. 2016;52(7):641-649
pages 641-649 views

Fundamentally low reproducibility in molecular genetic cancer research

Alekseenko I.V., Pleshkan V.V., Monastyrskaya G.S., Kuzmich A.I., Snezhkov E.V., Didych D.A., Sverdlov E.D.

Abstract

The review discusses the causes of multiple failures in cancer treatment, which might primarily result from the excessive variability of cancer genomes. They are capable of changing their spatial and temporal architecture during tumor development. The key reasons of irreproducibility of biomedical data and the presumable means for improvement of therapeutic results aiming at targeting the most stable tumor traits are suggested.

Russian Journal of Genetics. 2016;52(7):650-663
pages 650-663 views

Genetic mechanisms of adaptive immunity emergence in vertebrates

Shilov E.S., Kuprash D.V.

Abstract

The adaptive immune system in vertebrates emerged in a multistep process that can be reconstructed on the basis of the data concerning the structure of immune systems of modern cartilaginous and bony fishes, as well as of cyclostomes. The most probable evolutionary scenario is likely to be as follows: the T cell receptor loci emerged on the basis of NK cell-like receptor genes; the antibody loci evolved on the basis of T cell receptor loci; the MHC locus arose on the basis of the locus responsible for innate immunity of early chordates. The ancestral MHC molecules likely participated in the transplantation immunity before they acquired the ability of antigen peptide presentation.

Russian Journal of Genetics. 2016;52(7):664-675
pages 664-675 views

Prospects for application of breakthrough technologies in breeding: The CRISPR/Cas9 system for plant genome editing

Khlestkina E.K., Shumny V.K.

Abstract

Integration of the methods of contemporary genetics and biotechnology into the breeding process is assessed, and the potential role and efficacy of genome editing as a novel approach is discussed. Use of molecular (DNA) markers for breeding was proposed more than 30 years ago. Nowadays, they are widely used as an accessory tool in order to select plants by mono- and olygogenic traits. Presently, the genomic approaches are actively introduced into the breeding processes owing to automatization of DNA polymorphism analyses and development of comparatively cheap methods of DNA sequencing. These approaches provide effective selection by complex quantitative traits, and are based on the full-genome genotyping of the breeding material. Moreover, biotechnological tools, such as doubled haploids production, which provides fast obtainment of homozygotes, are widely used in plant breeding. Use of genomic and biotechnological approaches makes the development of varieties less time consuming. It also decreases the cultivated areas and financial expenditures required for accomplishment of the breeding process. However, the capacities of modern breeding are not limited to only these advantages. Experiments carried out on plants about 10 years ago provided the first data on genome editing. In the last two years, we have observed a sharp increase in the number of publications that report about successful experiments aimed at plant genome editing owing to the use of the relatively simple and convenient CRISPR/Cas9 system. The goal of some of these experiments was to modify agriculturally valuable genes of cultivated plants, such as potato, cabbage, tomato, maize, rice, wheat, barley, soybean and sorghum. These studies show that it is possible to obtain nontransgenic plants carrying stably inherited, specifically determined mutations using the CRISPR/Cas9 system. This possibility offers the challenge to obtain varieties with predetermined mono- and olygogenic traits.

Russian Journal of Genetics. 2016;52(7):676-687
pages 676-687 views

Methods of high-throughput plant phenotyping for large-scale breeding and genetic experiments

Afonnikov D.A., Genaev M.A., Doroshkov A.V., Komyshev E.G., Pshenichnikova T.A.

Abstract

Phenomics is a field of science at the junction of biology and informatics which solves the problems of rapid, accurate estimation of the plant phenotype; it was rapidly developed because of the need to analyze phenotypic characteristics in large scale genetic and breeding experiments in plants. It is based on using the methods of computer image analysis and integration of biological data. Owing to automation, new approaches make it possible to considerably accelerate the process of estimating the characteristics of a phenotype, to increase its accuracy, and to remove a subjectivism (inherent to humans). The main technologies of high-throughput plant phenotyping in both controlled and field conditions, their advantages and disadvantages, and also the prospects of their use for the efficient solution of problems of plant genetics and breeding are presented in the review.

Russian Journal of Genetics. 2016;52(7):688-701
pages 688-701 views

Horizontal gene transfer into the genomes of insects

Zakharov I.A.

Abstract

Horizontal gene transfer (HGT) is widespread in the world of prokaryotes, but the examples of this phenomenon among multicellular animals, particularly insects, are few. This review examines the transfer of genetic material to the nuclear genomes of insects from the mitochondrial genome (intracellular HGT), as well as from the genomes of viruses, bacteria, fungi, and unrelated insects. In most cases, the mechanisms of this transfer are unknown. Many pro- and eukaryotic genes that moved through the HGT are expressed in the insect genome and in some cases can provide the evolutionary innovations that are considered as aromorphoses.

Russian Journal of Genetics. 2016;52(7):702-707
pages 702-707 views

Chromosome as a chronicler: Genetic dating, historical events, and DNA-genealogic temptation

Balanovsky O.P., Zaporozhchenko V.V.

Abstract

Nonrecombinant portions of the genome, Y chromosome and mitochondrial DNA, are widely used for research on human population gene pools and reconstruction of their history. These systems allow the genetic dating of clusters of emerging haplotypes. The main method for age estimations is ρ statistics, which is an average number of mutations from founder haplotype to all modern-day haplotypes. A researcher can estimate the age of the cluster by multiplying this number by the mutation rate. The second method of estimation, ASD, is used for STR haplotypes of the Y chromosome and is based on the squared difference in the number of repeats. In addition to the methods of calculation, methods of Bayesian modeling assume a new significance. They have greater computational cost and complexity, but they allow obtaining an a posteriori distribution of the value of interest that is the most consistent with experimental data. The mutation rate must be known for both calculation methods and modeling methods. It can be determined either during the analysis of lineages or by providing calibration points based on populations with known formation time. These two approaches resulted in rate estimations for Y-chromosomal STR haplotypes with threefold difference. This contradiction was only recently refuted through the use of sequence data for the complete Y chromosome; “whole-genomic” rates of single nucleotide mutations obtained by both methods are mutually consistent and mark the area of application for different rates of STR markers. An issue even more crucial than that of the rates is correlation of the reconstructed history of the haplogroup (a cluster of haplotypes) and the history of the population. Although the need for distinguishing “lineage history” and “population history” arose in the earliest days of phylogeographic research, reconstructing the population history using genetic dating requires a number of methods and conditions. It is known that population history events leave distinct traces in the history of haplogroups only under certain demographic conditions. Direct identification of national history with the history of its occurring haplogroups is inappropriate and is avoided in population genetic studies, although because of its simplicity and attractiveness it is a constant temptation for researchers. An example of DNA genealogy, an amateur field that went beyond the borders of even citizen science and is consistently using the principle of equating haplogroup with lineage and population, which leads to absurd results (e.g., Eurasia as an origin of humankind), can serve as a warning against a simplified approach for interpretation of genetic dating results.

Russian Journal of Genetics. 2016;52(7):708-725
pages 708-725 views

Migration as the main factor of the Russia’s urban population dynamics

Kurbatova O.L., Yankovsky N.K.

Abstract

This review summarizes the results of the long-term studies performed at the Institute of General Genetics, Russian Academy of Sciences, in the field of genetic demography of migration processes in Russia and its capital. The main population-genetic parameters of migration and their dynamics in Moscow over a hundred years are given. Sociodemographic and population-genetic implications of migration processes are considered. A model predicting the population gene pool dynamics under migration pressure for genes of different localization (autosomal, sex-linked, and mitochondrial), exemplified by predicting the allele frequency dynamics in the Moscow population of some gene markers, including genes accounting for monogenic pathology and genes associated with resistance to socially significant diseases, are presented. The paper discusses the selective character of migration processes, in particular, processes of emigration, with respect to some genetically significant ethnodemographic traits; the problem of adaptation of migrants; and adaptive strategies of consolidation of ethnoconfessional groups in the megalopolis (compact settlement over the urban territory and positive assortative mating with respect to demographic traits). It was shown that, owing to the intense influx of migrants and gene flows between ethnic groups, the population of the megalopolis is of mixed origin in terms of ethnic, anthropologic, and genetic aspects. The results of the study suggest the necessity to develop a specific strategy of genetic database formation for the population of megalopolises for the purposes of medical genetics and forensic medicine.

Russian Journal of Genetics. 2016;52(7):726-745
pages 726-745 views

Evolution of genetic diversity and human diseases

Stepanov V.A.

Abstract

The problem of development and dispersion of complex diseases in human populations requires new views, approaches, hypotheses, and paradigms. Evolutionary medicine provides one of the promising approaches to this problem, putting the disease into an evolutionary context. Unlike classic approaches oriented to proximate issues on structure and mechanisms of a disease, evolutionary considerations are broader. It provides the basis for understanding the origin, dispersion, and maintenance of the high frequencies of pathological phenotypes in modern human populations. In the current paper, we try to review the modern concepts on the evolution of human genetic diversity, to shape the outlines of evolutionary medicine, and to illustrate evolutionary medical problems using our experimental data. Data on genome-wide search for the signals of decanalization and adaptation in the human genome and on related biological processes and diseases are presented. Some hypotheses and concepts of evolutionary medicine may be productive for revealing the mechanisms of origin and dispersion of complex diseases and for pathogenetics of multifactorial diseases. One of such concepts is the hypothesis of decanalization of genome–phenome relationships under natural selection during modern human dispersion. Probably, the high frequency of alleles associated with complex diseases (and partially the high prevalence of diseases themselves) could be explained in the framework of the hypothesis.

Russian Journal of Genetics. 2016;52(7):746-756
pages 746-756 views

Genetic risk assessment of the joint effect of several genes: Critical appraisal

Rubanovich A.V., Khromov-Borisov N.N.

Abstract

When assessing the combined action of genes on the quantitative or qualitative phenotype we encounter a phenomenon that could be named the “paradox of the risk score summation.” It arises when the search of risk allele and assessment of their combined action are performed with the same single dataset. Too often such methodological error occurs when calculating the so called genetic risk score (GRS), which refers to the total number of alleles associated with the disease. Examples from numerous published genetic association studies are considered in which the claimed statistically significant effects can be attributed to the “risk score summation paradox.” In the second section of the review we discuss the current modifications of multiple regression analysis addressed to the so called “np problem” (the number of points is much smaller than the number of possible predictors). Various algorithms for the model selection (searching the significant predictor combinations) are considered, beginning from the common marginal screening of the “top” predictors to LASSO and other modern algorithms of compressed sensing.

Russian Journal of Genetics. 2016;52(7):757-769
pages 757-769 views

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