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Zolotareva K, Dotsenko PA, Podkolodnyy N, Ivanov R, Makarova AL, Chadaeva I, Bogomolov A, Demenkov PS, Ivanisenko V, Oshchepkov D, Ponomarenko M. Candidate SNP Markers Significantly Altering the Affinity of the TATA-Binding Protein for the Promoters of Human Genes Associated with Primary Open-Angle Glaucoma. Int J Mol Sci 2024; 25:12802. [PMID: 39684516 DOI: 10.3390/ijms252312802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 11/20/2024] [Accepted: 11/25/2024] [Indexed: 12/18/2024] Open
Abstract
Primary open-angle glaucoma (POAG) is the most common form of glaucoma. This condition leads to optic nerve degeneration and eventually to blindness. Tobacco smoking, alcohol consumption, fast-food diets, obesity, heavy weight lifting, high-intensity physical exercises, and many other bad habits are lifestyle-related risk factors for POAG. By contrast, moderate-intensity aerobic exercise and the Mediterranean diet can alleviate POAG. In this work, we for the first time estimated the phylostratigraphic age indices (PAIs) of all 153 POAG-related human genes in the NCBI Gene Database. This allowed us to separate them into two groups: POAG-related genes that appeared before and after the phylum Chordata, that is, ophthalmologically speaking, before and after the camera-type eye evolved. Next, in the POAG-related genes' promoters, we in silico predicted all 3835 candidate SNP markers that significantly change the TATA-binding protein (TBP) affinity for these promoters and, through this molecular mechanism, the expression levels of these genes. Finally, we verified our results against five independent web services-PANTHER, DAVID, STRING, MetaScape, and GeneMANIA-as well as the ClinVar database. It was concluded that POAG is likely to be a symptom of the human self-domestication syndrome, a downside of being civilized.
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Affiliation(s)
- Karina Zolotareva
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
| | - Polina A Dotsenko
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Nikolay Podkolodnyy
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
- Institute of Computational Mathematics and Mathematical Geophysics, SB RAS, Novosibirsk 630090, Russia
| | - Roman Ivanov
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
| | - Aelita-Luiza Makarova
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
| | - Anton Bogomolov
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Pavel S Demenkov
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
| | - Vladimir Ivanisenko
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genome Center at the ICG SB RAS, Novosibirsk 630090, Russia
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Bogomolov A, Filonov S, Chadaeva I, Rasskazov D, Khandaev B, Zolotareva K, Kazachek A, Oshchepkov D, Ivanisenko VA, Demenkov P, Podkolodnyy N, Kondratyuk E, Ponomarenko P, Podkolodnaya O, Mustafin Z, Savinkova L, Kolchanov N, Tverdokhleb N, Ponomarenko M. Candidate SNP Markers Significantly Altering the Affinity of TATA-Binding Protein for the Promoters of Human Hub Genes for Atherogenesis, Atherosclerosis and Atheroprotection. Int J Mol Sci 2023; 24:ijms24109010. [PMID: 37240358 DOI: 10.3390/ijms24109010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/13/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
Atherosclerosis is a systemic disease in which focal lesions in arteries promote the build-up of lipoproteins and cholesterol they are transporting. The development of atheroma (atherogenesis) narrows blood vessels, reduces the blood supply and leads to cardiovascular diseases. According to the World Health Organization (WHO), cardiovascular diseases are the leading cause of death, which has been especially boosted since the COVID-19 pandemic. There is a variety of contributors to atherosclerosis, including lifestyle factors and genetic predisposition. Antioxidant diets and recreational exercises act as atheroprotectors and can retard atherogenesis. The search for molecular markers of atherogenesis and atheroprotection for predictive, preventive and personalized medicine appears to be the most promising direction for the study of atherosclerosis. In this work, we have analyzed 1068 human genes associated with atherogenesis, atherosclerosis and atheroprotection. The hub genes regulating these processes have been found to be the most ancient. In silico analysis of all 5112 SNPs in their promoters has revealed 330 candidate SNP markers, which statistically significantly change the affinity of the TATA-binding protein (TBP) for these promoters. These molecular markers have made us confident that natural selection acts against underexpression of the hub genes for atherogenesis, atherosclerosis and atheroprotection. At the same time, upregulation of the one for atheroprotection promotes human health.
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Affiliation(s)
- Anton Bogomolov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Sergey Filonov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Dmitry Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Bato Khandaev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Karina Zolotareva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Anna Kazachek
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Vladimir A Ivanisenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Pavel Demenkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Nikolay Podkolodnyy
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk 630090, Russia
| | - Ekaterina Kondratyuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Petr Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Olga Podkolodnaya
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Zakhar Mustafin
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Nikolay Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Natalya Tverdokhleb
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
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Transcription Factors as Important Regulators of Changes in Behavior through Domestication of Gray Rats: Quantitative Data from RNA Sequencing. Int J Mol Sci 2022; 23:ijms232012269. [PMID: 36293128 PMCID: PMC9603081 DOI: 10.3390/ijms232012269] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/28/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
Studies on hereditary fixation of the tame-behavior phenotype during animal domestication remain relevant and important because they are of both basic research and applied significance. In model animals, gray rats Rattus norvegicus bred for either an enhancement or reduction in defensive response to humans, for the first time, we used high-throughput RNA sequencing to investigate differential expression of genes in tissue samples from the tegmental region of the midbrain in 2-month-old rats showing either tame or aggressive behavior. A total of 42 differentially expressed genes (DEGs; adjusted p-value < 0.01 and fold-change > 2) were identified, with 20 upregulated and 22 downregulated genes in the tissue samples from tame rats compared with aggressive rats. Among them, three genes encoding transcription factors (TFs) were detected: Ascl3 was upregulated, whereas Fos and Fosb were downregulated in tissue samples from the brains of tame rats brain. Other DEGs were annotated as associated with extracellular matrix components, transporter proteins, the neurotransmitter system, signaling molecules, and immune system proteins. We believe that these DEGs encode proteins that constitute a multifactorial system determining the behavior for which the rats have been artificially selected. We demonstrated that several structural subtypes of E-box motifs—known as binding sites for many developmental TFs of the bHLH class, including the ASCL subfamily of TFs—are enriched in the set of promoters of the DEGs downregulated in the tissue samples of tame rats’. Because ASCL3 may act as a repressor on target genes of other developmental TFs of the bHLH class, we hypothesize that the expression of TF gene Ascl3 in tame rats indicates longer neurogenesis (as compared to aggressive rats), which is a sign of neoteny and domestication. Thus, our domestication model shows a new function of TF ASCL3: it may play the most important role in behavioral changes in animals.
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Rasskazov D, Chadaeva I, Sharypova E, Zolotareva K, Khandaev B, Ponomarenko P, Podkolodnyy N, Tverdokhleb N, Vishnevsky O, Bogomolov A, Podkolodnaya O, Savinkova L, Zemlyanskaya E, Golubyatnikov V, Kolchanov N, Ponomarenko M. Plant_SNP_TATA_Z-Tester: A Web Service That Unequivocally Estimates the Impact of Proximal Promoter Mutations on Plant Gene Expression. Int J Mol Sci 2022; 23:ijms23158684. [PMID: 35955817 PMCID: PMC9369029 DOI: 10.3390/ijms23158684] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 11/16/2022] Open
Abstract
Synthetic targeted optimization of plant promoters is becoming a part of progress in mainstream postgenomic agriculture along with hybridization of cultivated plants with wild congeners, as well as marker-assisted breeding. Therefore, here, for the first time, we compiled all the experimental data—on mutational effects in plant proximal promoters on gene expression—that we could find in PubMed. Some of these datasets cast doubt on both the existence and the uniqueness of the sought solution, which could unequivocally estimate effects of proximal promoter mutation on gene expression when plants are grown under various environmental conditions during their development. This means that the inverse problem under study is ill-posed. Furthermore, we found experimental data on in vitro interchangeability of plant and human TATA-binding proteins allowing the application of Tikhonov’s regularization, making this problem well-posed. Within these frameworks, we created our Web service Plant_SNP_TATA_Z-tester and then determined the limits of its applicability using those data that cast doubt on both the existence and the uniqueness of the sought solution. We confirmed that the effects (of proximal promoter mutations on gene expression) predicted by Plant_SNP_TATA_Z-tester correlate statistically significantly with all the experimental data under study. Lastly, we exemplified an application of Plant_SNP_TATA_Z-tester to agriculturally valuable mutations in plant promoters.
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Affiliation(s)
| | - Irina Chadaeva
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia
| | | | | | - Bato Khandaev
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia
| | | | - Nikolay Podkolodnyy
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia
- Institute of Computational Mathematics and Mathematical Geophysics, 630090 Novosibirsk, Russia
| | | | - Oleg Vishnevsky
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia
| | - Anton Bogomolov
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia
| | | | | | | | | | | | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia
- Correspondence: ; Tel.: +7-(383)-363-4963 (ext. 1311)
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Chen G, Wang J, Jing Y, Li C, Zhang W, Yang S, Song Y, Wang X, Liu J, Yu D, Xu Z. Serum Metabonomics Reveals Key Metabolites in Different Types of Childhood Short Stature. Front Pharmacol 2022; 13:818952. [PMID: 35600884 PMCID: PMC9117746 DOI: 10.3389/fphar.2022.818952] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/21/2022] [Indexed: 11/05/2022] Open
Abstract
Nowadays, short stature (SS) in childhood is a common condition encountered by pediatricians, with an increase in not just a few families. Various studies related to the variations in key metabolites and their biological mechanisms that lead to SS have increased our understanding of the pathophysiology of the disease. However, little is known about the role of metabolite variation in different types of childhood SS that influence these biological processes and whether the understanding of the key metabolites from different types of childhood SS would predict the disease progression better. We performed a systematic investigation using the metabonomics method and studied the correlation between the three groups, namely, the control, idiopathic short stature (ISS), and short stature due to growth hormone deficiency (GHD). We observed that three pathways (viz., purine metabolism, sphingolipid signaling pathway, and sphingolipid metabolism) were significantly enriched in childhood SS. Moreover, we reported that two short peptides (Thr Val Leu Thr Ser and Trp Ile Lys) might play a significant role in childhood SS. Various metabolites in different pathways including 9,10-DiHOME, 12-HETE, 12(13)-EpOME, arachidonic acid methyl ester, glycerophospho-N-arachidonoyl ethanolamine, curvulinic acid (2-acetyl-3,5-dihydroxyphenyl acetic acid), nonanoic acid, and N'-(2,4-dimethylphenyl)-N-methylformamidine in human serum were compared between 60 children diagnosed with SS and 30 normal-height children. More investigations in this area may provide insights and enhance the personalized treatment approaches in clinical practice for SS by elucidating pathophysiology mechanisms of experimental verification.
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Affiliation(s)
- Guoyou Chen
- Daqing Campus, Harbin Medical University, Daqing, China
| | - Jinming Wang
- Gynecology Department, Dating Oil Field General Hospital, Daqing, China
| | - Yisi Jing
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China
| | - Chunxiang Li
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China
| | - Wenyue Zhang
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China
| | - Shuang Yang
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China
| | - Ye Song
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China
| | - Xin Wang
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China
| | - Jincheng Liu
- Daqing Campus, Harbin Medical University, Daqing, China
| | - Dejun Yu
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China,*Correspondence: Dejun Yu, ; Zhichun Xu,
| | - Zhichun Xu
- Fifth Affiliated Hospital, Harbin Medical University, Daqing, China,*Correspondence: Dejun Yu, ; Zhichun Xu,
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Ponomarenko MP, Chadaeva IV, Ponomarenko PM, Bogomolov AG, Oshchepkov DY, Sharypova EB, Suslov VV, Osadchuk AV, Osadchuk LV, Matushkin YG. A bioinformatic search for correspondence between differentially expressed genes of domestic versus wild animals and orthologous human genes altering reproductive potential. Vavilovskii Zhurnal Genet Selektsii 2022; 26:96-108. [PMID: 35342855 PMCID: PMC8894618 DOI: 10.18699/vjgb-22-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 08/20/2021] [Accepted: 08/24/2021] [Indexed: 11/19/2022] Open
Abstract
One of the greatest achievements of genetics in the 20th century is D.K. Belyaev’s discovery of destabilizing selection during the domestication of animals and that this selection affects only gene expression regulation (not gene structure) and inf luences systems of neuroendocrine control of ontogenesis in a stressful environment. Among the experimental data generalized by Belyaev’s discovery, there are also f indings about accelerated extinc tion of testes’ hormonal function and disrupted seasonality of reproduction of domesticated foxes in comparison
with their wild congeners. To date, Belyaev’s discovery has already been repeatedly conf irmed, for example, by independent
observations during deer domestication, during the use of rats as laboratory animals, after the reintroduction
of endangered species such as Przewalski’s horse, and during the creation of a Siberian reserve population
of the Siberian grouse when it had reached an endangered status in natural habitats. A genome-wide comparison
among humans, several domestic animals, and some of their wild congeners has given rise to the concept of self-domestication
syndrome, which includes autism spectrum disorders. In our previous study, we created a bioinformatic
model of human self-domestication syndrome using differentially expressed genes (DEGs; of domestic animals
versus their wild congeners) orthologous to the human genes (mainly, nervous-system genes) whose changes in
expression affect reproductive potential, i. e., growth of the number of humans in the absence of restrictions caused
by limiting factors. Here, we applied this model to 68 human genes whose changes in expression alter the reproductive
health of women and men and to 3080 DEGs of domestic versus wild animals. As a result, in domestic animals,
we identif ied 16 and 4 DEGs, the expression changes of which are codirected with changes in the expression of the
human orthologous genes decreasing and increasing human reproductive potential, respectively. The wild animals
had 9 and 11 such DEGs, respectively. This difference between domestic and wild animals was signif icant according
to Pearson’s χ2 test (p < 0.05) and Fisher’s exact test (p < 0.05). We discuss the results from the standpoint of restoration
of endangered animal species whose natural habitats are subject to an anthropogenic impact.
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Affiliation(s)
- M. P. Ponomarenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - I. V. Chadaeva
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - P. M. Ponomarenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - A. G. Bogomolov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - D. Yu. Oshchepkov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - E. B. Sharypova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - V. V. Suslov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - A. V. Osadchuk
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - L. V. Osadchuk
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
| | - Yu. G. Matushkin
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
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Chadaeva I, Ponomarenko P, Kozhemyakina R, Suslov V, Bogomolov A, Klimova N, Shikhevich S, Savinkova L, Oshchepkov D, Kolchanov NA, Markel A, Ponomarenko M. Domestication Explains Two-Thirds of Differential-Gene-Expression Variance between Domestic and Wild Animals; The Remaining One-Third Reflects Intraspecific and Interspecific Variation. Animals (Basel) 2021; 11:2667. [PMID: 34573632 PMCID: PMC8465180 DOI: 10.3390/ani11092667] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/04/2021] [Accepted: 09/06/2021] [Indexed: 12/19/2022] Open
Abstract
Belyaev's concept of destabilizing selection during domestication was a major achievement in the XX century. Its practical value has been realized in commercial colors of the domesticated fox that never occur in the wild and has been confirmed in a wide variety of pet breeds. Many human disease models involving animals allow to test drugs before human testing. Perhaps this is why investigators doing transcriptomic profiling of domestic versus wild animals have searched for breed-specific patterns. Here we sequenced hypothalamic transcriptomes of tame and aggressive rats, identified their differentially expressed genes (DEGs), and, for the first time, applied principal component analysis to compare them with all the known DEGs of domestic versus wild animals that we could find. Two principal components, PC1 and PC2, respectively explained 67% and 33% of differential-gene-expression variance (hereinafter: log2 value) between domestic and wild animals. PC1 corresponded to multiple orthologous DEGs supported by homologs; these DEGs kept the log2 value sign from species to species and from tissue to tissue (i.e., a common domestication pattern). PC2 represented stand-alone homologous DEG pairs reversing the log2 value sign from one species to another and from tissue to tissue (i.e., representing intraspecific and interspecific variation).
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (P.P.); (R.K.); (V.S.); (A.B.); (N.K.); (S.S.); (L.S.); (D.O.); (N.A.K.); (A.M.)
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8
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Vasiliev G, Chadaeva I, Rasskazov D, Ponomarenko P, Sharypova E, Drachkova I, Bogomolov A, Savinkova L, Ponomarenko M, Kolchanov N, Osadchuk A, Oshchepkov D, Osadchuk L. A Bioinformatics Model of Human Diseases on the Basis of Differentially Expressed Genes (of Domestic Versus Wild Animals) That Are Orthologs of Human Genes Associated with Reproductive-Potential Changes. Int J Mol Sci 2021; 22:2346. [PMID: 33652917 PMCID: PMC7956675 DOI: 10.3390/ijms22052346] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 02/13/2021] [Accepted: 02/23/2021] [Indexed: 12/18/2022] Open
Abstract
Earlier, after our bioinformatic analysis of single-nucleotide polymorphisms of TATA-binding protein-binding sites within gene promoters on the human Y chromosome, we suggested that human reproductive potential diminishes during self-domestication. Here, we implemented bioinformatics models of human diseases using animal in vivo genome-wide RNA-Seq data to compare the effect of co-directed changes in the expression of orthologous genes on human reproductive potential and during the divergence of domestic and wild animals from their nearest common ancestor (NCA). For example, serotonin receptor 3A (HTR3A) deficiency contributes to sudden death in pregnancy, consistently with Htr3a underexpression in guinea pigs (Cavia porcellus) during their divergence from their NCA with cavy (C. aperea). Overall, 25 and three differentially expressed genes (hereinafter, DEGs) in domestic animals versus 11 and 17 DEGs in wild animals show the direction consistent with human orthologous gene-markers of reduced and increased reproductive potential. This indicates a reliable association between DEGs in domestic animals and human orthologous genes reducing reproductive potential (Pearson's χ2 test p < 0.001, Fisher's exact test p < 0.05, binomial distribution p < 0.0001), whereas DEGs in wild animals uniformly match human orthologous genes decreasing and increasing human reproductive potential (p > 0.1; binomial distribution), thus enforcing the norm (wild type).
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Affiliation(s)
- Gennady Vasiliev
- Novosibirsk State University, 630090 Novosibirsk, Russia;
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Dmitry Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Petr Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Ekaterina Sharypova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Irina Drachkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Anton Bogomolov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Nikolay Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Alexander Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
| | - Ludmila Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.C.); (D.R.); (P.P.); (E.S.); (I.D.); (A.B.); (L.S.); (N.K.); (A.O.); (D.O.); (L.O.)
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Tatarinova TV, Tabikhanova LE, Eslami G, Bai H, Orlov YL. Genetics research at the "Centenary of human population genetics" conference and SBB-2019. BMC Genet 2020; 21:109. [PMID: 33092531 PMCID: PMC7580810 DOI: 10.1186/s12863-020-00906-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Tatiana V Tatarinova
- Department of Biology, University of La Verne, La Verne, CA, 91750, USA
- Department of Fundamental Biology and Biotechnology, Siberian Federal University, 660074, Krasnoyarsk, Russia
- N.I.Vavilov Institute of General Genetics RAS, 119991, Moscow, Russia
| | - Ludmila E Tabikhanova
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia
- Novosibirsk State University, 630090, Novosibirsk, Russia
| | - Gilda Eslami
- Research Center for Food Hygiene and Safety, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, 8916188638, Iran
- Department of Parasitology and Mycology, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, 8916188638, Iran
| | - Haihua Bai
- Inner Mongolia University for the Nationalities, 028000, Tongliao, China
| | - Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia.
- Novosibirsk State University, 630090, Novosibirsk, Russia.
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), 119991, Moscow, Russia.
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