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Chadaeva I, Kozhemyakina R, Shikhevich S, Bogomolov A, Kondratyuk E, Oshchepkov D, Orlov YL, Markel AL. A Principal Components Analysis and Functional Annotation of Differentially Expressed Genes in Brain Regions of Gray Rats Selected for Tame or Aggressive Behavior. Int J Mol Sci 2024; 25:4613. [PMID: 38731836 PMCID: PMC11083694 DOI: 10.3390/ijms25094613] [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: 03/13/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 05/13/2024] Open
Abstract
The process of domestication, despite its short duration as it compared with the time scale of the natural evolutionary process, has caused rapid and substantial changes in the phenotype of domestic animal species. Nonetheless, the genetic mechanisms underlying these changes remain poorly understood. The present study deals with an analysis of the transcriptomes from four brain regions of gray rats (Rattus norvegicus), serving as an experimental model object of domestication. We compared gene expression profiles in the hypothalamus, hippocampus, periaqueductal gray matter, and the midbrain tegmental region between tame domesticated and aggressive gray rats and revealed subdivisions of differentially expressed genes by principal components analysis that explain the main part of differentially gene expression variance. Functional analysis (in the DAVID (Database for Annotation, Visualization and Integrated Discovery) Bioinformatics Resources database) of the differentially expressed genes allowed us to identify and describe the key biological processes that can participate in the formation of the different behavioral patterns seen in the two groups of gray rats. Using the STRING- DB (search tool for recurring instances of neighboring genes) web service, we built a gene association network. The genes engaged in broad network interactions have been identified. Our study offers data on the genes whose expression levels change in response to artificial selection for behavior during animal domestication.
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Affiliation(s)
- Irina Chadaeva
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia
| | | | | | - Anton Bogomolov
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Ekaterina Kondratyuk
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia
- Siberian Federal Scientific Centre of Agro-BioTechnologies, Russian Academy of Sciences, Krasnoobsk 630501, Russia
- Research Institute of Clinical and Experimental Lymphology-Branch of Institute of Cytology and Genetics, Novosibirsk 630117, Russia
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Yuriy L Orlov
- Institute of Biodesign and Complex Systems Modeling, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
- Agrarian and Technological Institute, Peoples' Friendship University of Russia, Moscow 117198, Russia
| | - Arcady L Markel
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
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Bogomolov A, Zolotareva K, Filonov S, Chadaeva I, Rasskazov D, Sharypova E, Podkolodnyy N, Ponomarenko P, Savinkova L, Tverdokhleb N, Khandaev B, Kondratyuk E, Podkolodnaya O, Zemlyanskaya E, Kolchanov NA, Ponomarenko M. AtSNP_TATAdb: Candidate Molecular Markers of Plant Advantages Related to Single Nucleotide Polymorphisms within Proximal Promoters of Arabidopsis thaliana L. Int J Mol Sci 2024; 25:607. [PMID: 38203780 PMCID: PMC10779315 DOI: 10.3390/ijms25010607] [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: 10/31/2023] [Revised: 12/18/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
The mainstream of the post-genome target-assisted breeding in crop plant species includes biofortification such as high-throughput phenotyping along with genome-based selection. Therefore, in this work, we used the Web-service Plant_SNP_TATA_Z-tester, which we have previously developed, to run a uniform in silico analysis of the transcriptional alterations of 54,013 protein-coding transcripts from 32,833 Arabidopsis thaliana L. genes caused by 871,707 SNPs located in the proximal promoter region. The analysis identified 54,993 SNPs as significantly decreasing or increasing gene expression through changes in TATA-binding protein affinity to the promoters. The existence of these SNPs in highly conserved proximal promoters may be explained as intraspecific diversity kept by the stabilizing natural selection. To support this, we hand-annotated papers on some of the Arabidopsis genes possessing these SNPs or on their orthologs in other plant species and demonstrated the effects of changes in these gene expressions on plant vital traits. We integrated in silico estimates of the TBP-promoter affinity in the AtSNP_TATAdb knowledge base and showed their significant correlations with independent in vivo experimental data. These correlations appeared to be robust to variations in statistical criteria, genomic environment of TATA box regions, plants species and growing conditions.
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Affiliation(s)
- Anton Bogomolov
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Karina Zolotareva
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Sergey Filonov
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
- Natural Science Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Dmitry Rasskazov
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Ekaterina Sharypova
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Nikolay Podkolodnyy
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
- Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk 630090, Russia
| | - Petr Ponomarenko
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Natalya Tverdokhleb
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Bato Khandaev
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
- Natural Science Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Ekaterina Kondratyuk
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
- Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences, Krasnoobsk 630501, Novosibirsk Region, Russia
| | - Olga Podkolodnaya
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
| | - Elena Zemlyanskaya
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
- Natural Science Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Nikolay A. Kolchanov
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
- Natural Science Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Novosibirsk 630090, Russia; (A.B.); (K.Z.); (S.F.); (I.C.); (D.R.); (E.S.); (N.P.); (P.P.); (L.S.); (N.T.); (B.K.); (E.K.); (O.P.); (E.Z.); (N.A.K.)
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Chadaeva IV, Filonov SV, Zolotareva KA, Khandaev BM, Ershov NI, Podkolodnyy NL, Kozhemyakina RV, Rasskazov DA, Bogomolov AG, Kondratyuk EY, Klimova NV, Shikhevich SG, Ryazanova MA, Fedoseeva LA, Redina ОЕ, Kozhevnikova OS, Stefanova NA, Kolosova NG, Markel AL, Ponomarenko MP, Oshchepkov DY. RatDEGdb: a knowledge base of differentially expressed genes in the rat as a model object in biomedical research. Vavilovskii Zhurnal Genet Selektsii 2023; 27:794-806. [PMID: 38213701 PMCID: PMC10777291 DOI: 10.18699/vjgb-23-92] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/11/2023] [Accepted: 09/15/2023] [Indexed: 01/13/2024] Open
Abstract
The animal models used in biomedical research cover virtually every human disease. RatDEGdb, a knowledge base of the differentially expressed genes (DEGs) of the rat as a model object in biomedical research is a collection of published data on gene expression in rat strains simulating arterial hypertension, age-related diseases, psychopathological conditions and other human afflictions. The current release contains information on 25,101 DEGs representing 14,320 unique rat genes that change transcription levels in 21 tissues of 10 genetic rat strains used as models of 11 human diseases based on 45 original scientific papers. RatDEGdb is novel in that, unlike any other biomedical database, it offers the manually curated annotations of DEGs in model rats with the use of independent clinical data on equal changes in the expression of homologous genes revealed in people with pathologies. The rat DEGs put in RatDEGdb were annotated with equal changes in the expression of their human homologs in affected people. In its current release, RatDEGdb contains 94,873 such annotations for 321 human genes in 836 diseases based on 959 original scientific papers found in the current PubMed. RatDEGdb may be interesting first of all to human geneticists, molecular biologists, clinical physicians, genetic advisors as well as experts in biopharmaceutics, bioinformatics and personalized genomics. RatDEGdb is publicly available at https://www.sysbio.ru/RatDEGdb.
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Affiliation(s)
- I V Chadaeva
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - S V Filonov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - K A Zolotareva
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - B M Khandaev
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - N I Ershov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - N L Podkolodnyy
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - R V Kozhemyakina
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - D A Rasskazov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A G Bogomolov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - E Yu Kondratyuk
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences, Krasnoobsk, Novosibirsk region, Russia
| | - N V Klimova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - S G Shikhevich
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - M A Ryazanova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - L A Fedoseeva
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - О Е Redina
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - O S Kozhevnikova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - N A Stefanova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - N G Kolosova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A L Markel
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - M P Ponomarenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - D Yu Oshchepkov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 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: 1.0] [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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Shikhevich S, Chadaeva I, Khandaev B, Kozhemyakina R, Zolotareva K, Kazachek A, Oshchepkov D, Bogomolov A, Klimova NV, Ivanisenko VA, Demenkov P, Mustafin Z, Markel A, Savinkova L, Kolchanov NA, Kozlov V, Ponomarenko M. Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases. Int J Mol Sci 2023; 24:ijms24043996. [PMID: 36835409 PMCID: PMC9966505 DOI: 10.3390/ijms24043996] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/02/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Mainstream transcriptome profiling of susceptibility versus resistance to age-related diseases (ARDs) is focused on differentially expressed genes (DEGs) specific to gender, age, and pathogeneses. This approach fits in well with predictive, preventive, personalized, participatory medicine and helps understand how, why, when, and what ARDs one can develop depending on their genetic background. Within this mainstream paradigm, we wanted to find out whether the known ARD-linked DEGs available in PubMed can reveal a molecular marker that will serve the purpose in anyone's any tissue at any time. We sequenced the periaqueductal gray (PAG) transcriptome of tame versus aggressive rats, identified rat-behavior-related DEGs, and compared them with their known homologous animal ARD-linked DEGs. This analysis yielded statistically significant correlations between behavior-related and ARD-susceptibility-related fold changes (log2 values) in the expression of these DEG homologs. We found principal components, PC1 and PC2, corresponding to the half-sum and the half-difference of these log2 values, respectively. With the DEGs linked to ARD susceptibility and ARD resistance in humans used as controls, we verified these principal components. This yielded only one statistically significant common molecular marker for ARDs: an excess of Fcγ receptor IIb suppressing immune cell hyperactivation.
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Affiliation(s)
- Svetlana Shikhevich
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Irina Chadaeva
- 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
| | - Rimma Kozhemyakina
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), 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
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Anton Bogomolov
- 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
| | - Natalya V. Klimova
- 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
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Pavel Demenkov
- 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
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Arcady Markel
- 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
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Nikolay A. Kolchanov
- 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
| | - Vladimir Kozlov
- Research Institute of Fundamental and Clinical Immunology (RIFCI) SB RAS, Novosibirsk 630099, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- Correspondence: ; Tel.: +7-(383)-363-4963 (ext. 1311)
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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: 2.5] [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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Stress Reactivity, Susceptibility to Hypertension, and Differential Expression of Genes in Hypertensive Compared to Normotensive Patients. Int J Mol Sci 2022; 23:ijms23052835. [PMID: 35269977 PMCID: PMC8911431 DOI: 10.3390/ijms23052835] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/14/2022] [Accepted: 02/28/2022] [Indexed: 12/14/2022] Open
Abstract
Although half of hypertensive patients have hypertensive parents, known hypertension-related human loci identified by genome-wide analysis explain only 3% of hypertension heredity. Therefore, mainstream transcriptome profiling of hypertensive subjects addresses differentially expressed genes (DEGs) specific to gender, age, and comorbidities in accordance with predictive preventive personalized participatory medicine treating patients according to their symptoms, individual lifestyle, and genetic background. Within this mainstream paradigm, here, we determined whether, among the known hypertension-related DEGs that we could find, there is any genome-wide hypertension theranostic molecular marker applicable to everyone, everywhere, anytime. Therefore, we sequenced the hippocampal transcriptome of tame and aggressive rats, corresponding to low and high stress reactivity, an increase of which raises hypertensive risk; we identified stress-reactivity-related rat DEGs and compared them with their known homologous hypertension-related animal DEGs. This yielded significant correlations between stress reactivity-related and hypertension-related fold changes (log2 values) of these DEG homologs. We found principal components, PC1 and PC2, corresponding to a half-difference and half-sum of these log2 values. Using the DEGs of hypertensive versus normotensive patients (as the control), we verified the correlations and principal components. This analysis highlighted downregulation of β-protocadherins and hemoglobin as whole-genome hypertension theranostic molecular markers associated with a wide vascular inner diameter and low blood viscosity, respectively.
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Orlov YL, Anashkina AA, Tatarinova TV, Baranova AV. Editorial: Bioinformatics of Genome Regulation, Volume II. Front Genet 2021; 12:795257. [PMID: 34819949 PMCID: PMC8606529 DOI: 10.3389/fgene.2021.795257] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 10/25/2021] [Indexed: 12/17/2022] Open
Affiliation(s)
- Yuriy L Orlov
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.,Agrobiotechnology Department, Agrarian and Technological Institute, Peoples' Friendship University of Russia (RUDN University), Moscow, Russia
| | - Anastasia A Anashkina
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.,Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, United States.,Research Centre for Medical Genetics, Moscow, Russia
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