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Fekete Z, Német Z, Ninausz N, Fehér P, Schiller M, Alnajjar M, Szenes Á, Nagy T, Stéger V, Kontra L, Barta E. Whole-Genome Sequencing-Based Population Genetic Analysis of Wild and Domestic Rabbit Breeds. Animals (Basel) 2025; 15:775. [PMID: 40150307 PMCID: PMC11939179 DOI: 10.3390/ani15060775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 02/17/2025] [Accepted: 03/05/2025] [Indexed: 03/29/2025] Open
Abstract
The European rabbit exists in the wild and has several highly bred domesticated forms. There are well-separated wild European rabbit populations, and intensive breeding has resulted in various forms and utilizations. In this work, we aimed to carry out an extended WGS-based population genomics study on several wild European rabbit populations and selected breeds. Utilizing multiple methods, we showed that although domestic and wild populations were clearly separated, there was evidence of admixture between them in France and Hungary. The populations showed various levels of inbreeding, with one of the Hungarian subpopulations having excess runs of homozygosity. We identified numerous variants fixed in either domestic or wild animals, two of which were found to be fixed at different alleles in the two populations. Some putatively selected regions did not overlap with any known genes in the rabbit genome, suggesting some importance to these intergenic sites. The enrichment of selected regions in certain types of transcription factor binding sites suggests a possible role for these regulatory elements during domestication. In addition, the new high-coverage rabbit whole-genome sequences may provide helpful material for further population genetics analyses.
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Affiliation(s)
- Zsófia Fekete
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Department of Environmental and Biological Sciences, University of Eastern Finland, Yliopistokatu 2, 80100 Joensuu, Finland
| | - Zoltán Német
- Department of Pathology, University of Veterinary Medicine Budapest, Dóra major, H-2225 Üllő, Hungary; (Z.N.); (Á.S.)
| | - Nóra Ninausz
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Péter Fehér
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Mátyás Schiller
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Maher Alnajjar
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Áron Szenes
- Department of Pathology, University of Veterinary Medicine Budapest, Dóra major, H-2225 Üllő, Hungary; (Z.N.); (Á.S.)
| | - Tibor Nagy
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1, H-4032 Debrecen, Hungary
| | - Viktor Stéger
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
| | - Levente Kontra
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Bioinformatics Core Facility, Institute of Experimental Medicine, Hungarian Research NetworkSzigony utca 43, H-1083 Budapest, Hungary
| | - Endre Barta
- Department of Genetics and Genomics, Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent-Györgyi A. u. 4, H-2100 Gödöllő, Hungary; (Z.F.); (N.N.); (P.F.); (M.S.); (M.A.); (T.N.); (V.S.)
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem tér 1, H-4032 Debrecen, Hungary
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Bedoya Duque MA, Thomas WR, Dechmann DKN, Nieland J, Baldoni C, von Elverfeldt D, Muturi M, Corthals AP, Dávalos LM. Gene expression comparisons between captive and wild shrew brains reveal captivity effects. Biol Lett 2025; 21:20240478. [PMID: 39772919 PMCID: PMC11706642 DOI: 10.1098/rsbl.2024.0478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 10/17/2024] [Accepted: 11/15/2024] [Indexed: 01/11/2025] Open
Abstract
Compared with their free-ranging counterparts, wild animals in captivity experience different conditions with lasting physiological and behavioural effects. Although shifts in gene expression are expected to occur upstream of these phenotypes, we found no previous gene expression comparisons of captive versus free-ranging mammals. We assessed gene expression profiles of three brain regions (cortex, olfactory bulb and hippocampus) of wild shrews (Sorex araneus) compared with shrews kept in captivity for two months and undertook sample dropout to examine robustness given limited sample sizes. Consistent with captivity effects, we found hundreds of differentially expressed genes in all three brain regions, 104 overlapping across all three, that enriched pathways associated with neurodegenerative disease, oxidative phosphorylation and genes encoding ribosomal proteins. In the shrew, transcriptomic changes detected under captivity resemble responses in several human pathologies, including major depressive disorder and neurodegeneration. While interpretations of individual genes are tempered by small sample sizes, we propose captivity influences brain gene expression and function and can confound analyses of natural processes in wild individuals under captive conditions.
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Affiliation(s)
- Maria Alejandra Bedoya Duque
- Departamento de Ciencias Biológicas Bioprocesos y Biotecnología, Universidad Icesi, Cali, Valle del Cauca, Colombia
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
| | - William R. Thomas
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
| | - Dina K. N. Dechmann
- Max-Planck Institute for Animal Behavior, Radolfzell, Germany
- University of Konstanz, Konstanz, Germany
| | - John Nieland
- Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Cecilia Baldoni
- Max-Planck Institute for Animal Behavior, Radolfzell, Germany
- University of Konstanz, Konstanz, Germany
| | | | - Marion Muturi
- Max-Planck Institute for Animal Behavior, Radolfzell, Germany
- University of Konstanz, Konstanz, Germany
| | | | - Liliana M. Dávalos
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
- Consortium for Inter-Disciplinary Environmental Research, Stony Brook University, Stony Brook, NY, USA
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Nikolsky A, Benítez-Burraco A. The evolution of human music in light of increased prosocial behavior: a new model. Phys Life Rev 2024; 51:114-228. [PMID: 39426069 DOI: 10.1016/j.plrev.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 11/21/2023] [Indexed: 10/21/2024]
Abstract
Together with language, music is perhaps our most distinctive behavioral trait. Following the lead of evolutionary linguistic research, different hypotheses have been proposed to explain why only humans perform music and how this ability might have evolved in the species. In this paper, we advance a new model of music evolution that builds on the theory of self-domestication, according to which the human phenotype is, at least in part, the outcome of a process similar to mammal domestication, triggered by a progressive reduction in reactive aggression levels in response to environmental changes. In the paper, we specifically argue that changes in aggression management through the course of human cultural evolution can account for the behaviors conducive to the emergence and evolution of music. We hypothesize 4 stages in the evolutionary development of music under the influence of environmental changes and evolution of social organization: starting from musilanguage, 1) proto-music gave rise to 2) personal and private forms of timbre-oriented music, then to 3) small-group ensembles of pitch-oriented music, at first of indefinite and then definite pitch, and finally to 4) collective (tonal) music. These stages parallel what has been hypothesized for languages and encompass the diversity of music types and genres described worldwide. Overall, music complexity emerges in a gradual fashion under the effects of enhanced abilities for cultural niche construction, resulting from the stable trend of reduction in reactive aggression towards the end of the Pleistocene, leading to the rise of hospitality codes, and succeeded by the increase in proactive aggression from the beginning of the Holocene onward. This paper addresses numerous controversies in the literature on the evolution of music by providing a clear structural definition of music, identifying its structural features that distinguish it from oral language, and summarizing the typology of operational functions of music and formats of its transmission. The proposed framework of structural approach to music arms a researcher with means to identify and comparatively analyze different schemes of tonal organization of music, placing them in the context of human social and cultural evolution. Especially valuable is the theory of so-called "personal song", described and analyzed here from ethological, social, cultural, cognitive, and musicological perspectives. Personal song seems to constitute a remnant of the proto-musical transition from animal communication to human music as we know it today. We interlink the emergence of personal song with the evolution of kinship, placing both of them on the timeline of cultural evolution - based on totality of ethnographic, archaeological, anthropological, genetic, and paleoclimatic data.
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Affiliation(s)
| | - Antonio Benítez-Burraco
- Department of Spanish, Linguistics and Literary Theory (Linguistics), Faculty of Philology, University of Seville, Spain.
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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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5
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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; (I.C.); (R.K.); (E.K.); (A.L.M.)
| | - Rimma Kozhemyakina
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia; (I.C.); (R.K.); (E.K.); (A.L.M.)
| | - Svetlana Shikhevich
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia; (I.C.); (R.K.); (E.K.); (A.L.M.)
| | - Anton Bogomolov
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia; (I.C.); (R.K.); (E.K.); (A.L.M.)
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Ekaterina Kondratyuk
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia; (I.C.); (R.K.); (E.K.); (A.L.M.)
- 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; (I.C.); (R.K.); (E.K.); (A.L.M.)
- 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; (I.C.); (R.K.); (E.K.); (A.L.M.)
- Department of Natural Sciences, Novosibirsk State University, 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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7
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Benítez-Burraco A, Progovac L. The human fear paradox turns out to be less paradoxical when global changes in human aggression and language evolution are considered. Behav Brain Sci 2023; 46:e55. [PMID: 37154377 DOI: 10.1017/s0140525x22001947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Our commentary focuses on the interaction between Grossmann's fearful ape hypothesis (FAH) and the human self-domestication hypothesis (HSDH), also taking into account language acquisition and evolution. Although there is considerable overlap between the two hypotheses, there are also some discrepancies, and our goal is to consider the extent to which HSDH can explain the phenomena identified by FAH without invoking fearfulness as directly adaptive.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville 41004, http://antoniobenitez.wix.com/benitez-burraco
| | - Ljiljana Progovac
- Department of English (Linguistics), College of Liberal Arts & Science, Wayne State University, Detroit, MI48202, USA
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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: 1.5] [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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9
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Beckman AK, Richey BMS, Rosenthal GG. Behavioral responses of wild animals to anthropogenic change: insights from domestication. Behav Ecol Sociobiol 2022. [DOI: 10.1007/s00265-022-03205-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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10
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Lee W, Dwortz MF, Milewski TM, Champagne FA, Curley JP. Social status mediated variation in hypothalamic transcriptional profiles of male mice. Horm Behav 2022; 142:105176. [PMID: 35500322 DOI: 10.1016/j.yhbeh.2022.105176] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/07/2022] [Accepted: 04/08/2022] [Indexed: 11/30/2022]
Abstract
Animals of different social status exhibit variation in aggression, territorial and reproductive behavior as well as activity patterns, feeding, drinking and status signaling. This behavioral and physiological plasticity is coordinated by underlying changes in brain gene transcription. Using Tag-based RNA sequencing (Tag-seq), we explore RNA transcriptomes from the medial preoptic area (mPOA) and ventral hypothalamus (vHYP) of male mice of different social ranks in a dominance hierarchy and detect candidate genes and cellular pathways that underlie status-related plasticity. Within the mPOA, oxytocin (Oxt) and vasopressin (Avp) are more highly expressed in subdominant mice compared to other ranks, while nitric oxide synthase (Nos1) has lower expression in subdominant mice. Within the vHYP, we find that both orexigenic and anorexigenic genes involved in feeding behavior, including agouti-related peptide (Agrp), neuropeptide-Y (Npy), galanin (Gal), proopiomelanocortin (Pomc), and Cocaine- and Amphetamine-Regulated Transcript Protein prepropeptide (Cartpt), are less expressed in dominant animals compared to more subordinate ranks. We suggest that this may represent a reshaping of feeding circuits in dominant compared to subdominant and subordinate animals. Furthermore, we determine several genes that are positively and negatively associated with the level of despotism (aggression) in dominant males. Ultimately, we identify hypothalamic genes controlling feeding and social behaviors that are differentially transcribed across animals of varying social status. These changes in brain transcriptomics likely support phenotypic variation that enable animals to adapt to their current social status.
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Affiliation(s)
- W Lee
- Department of Psychology, University of Texas at Austin, Austin, TX, USA; Department of In Vivo Pharmacology Services, The Jackson Laboratory, Sacramento, CA, USA
| | - M F Dwortz
- Department of Psychology, University of Texas at Austin, Austin, TX, USA; Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
| | - T M Milewski
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - F A Champagne
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - J P Curley
- Department of Psychology, University of Texas at Austin, Austin, TX, USA.
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11
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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: 3.0] [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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12
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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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13
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Hunnicutt KE, Good JM, Larson EL. Unraveling patterns of disrupted gene expression across a complex tissue. Evolution 2022; 76:275-291. [PMID: 34882778 PMCID: PMC9355168 DOI: 10.1111/evo.14420] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 11/11/2021] [Accepted: 11/26/2021] [Indexed: 02/03/2023]
Abstract
Whole tissue RNASeq is the standard approach for studying gene expression divergence in evolutionary biology and provides a snapshot of the comprehensive transcriptome for a given tissue. However, whole tissues consist of diverse cell types differing in expression profiles, and the cellular composition of these tissues can evolve across species. Here, we investigate the effects of different cellular composition on whole tissue expression profiles. We compared gene expression from whole testes and enriched spermatogenesis populations in two species of house mice, Mus musculus musculus and M. m. domesticus, and their sterile and fertile F1 hybrids, which differ in both cellular composition and regulatory dynamics. We found that cellular composition differences skewed expression profiles and differential gene expression in whole testes samples. Importantly, both approaches were able to detect large-scale patterns such as disrupted X chromosome expression, although whole testes sampling resulted in decreased power to detect differentially expressed genes. We encourage researchers to account for histology in RNASeq and consider methods that reduce sample complexity whenever feasible. Ultimately, we show that differences in cellular composition between tissues can modify expression profiles, potentially altering inferred gene ontological processes, insights into gene network evolution, and processes governing gene expression evolution.
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Affiliation(s)
- Kelsie E Hunnicutt
- Department of Biological Sciences, University of Denver, Denver, Colorado, 80208
| | - Jeffrey M Good
- Division of Biological Sciences, University of Montana, Missoula, Montana, 59812
| | - Erica L Larson
- Department of Biological Sciences, University of Denver, Denver, Colorado, 80208
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14
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Yang X, Liu G, Wang Q, Gao X, Xia T, Zhao C, Dou H, Zhang H. Comparative transcriptome provides insights into the selection adaptation between wild and farmed foxes. Ecol Evol 2021; 11:13475-13486. [PMID: 34646484 PMCID: PMC8495804 DOI: 10.1002/ece3.8071] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/30/2021] [Accepted: 08/17/2021] [Indexed: 11/09/2022] Open
Abstract
The silver fox and blue fox are economically important fur species and were domesticated by humans from their wild counterparts, the arctic fox and red fox, respectively. Farmed foxes show obvious differences from their wild counterparts, including differences in physiology, body size, energy metabolism, and immunity. However, the molecular mechanisms underlying these differences are presently unclear. In this study, we built transcriptome libraries from multiple pooled tissues for each species of farmed fox, used RNA-seq to obtain a comprehensive dataset, and performed selection analysis and sequence-level analyses of orthologous genes to identify the genes that may be influenced by human domestication. More than 153.3, 248.0, 81.6, and 65.8 million clean reads were obtained and assembled into a total of 118,577, 401,520, 79,900, and 186,988 unigenes with an average length range from 521 to 667 bp for AF, BF, RF, and SF, respectively. Selective pressure analysis showed that 11 and 14 positively selected genes were identified, respectively, in the two groups (AF vs. BF and RF vs. SF). Several of these genes were associated with natural immunity (CFI and LRRFIP1), protein synthesis (GOLGA4, CEP19 and SLC35A2), and DNA damage repair (MDC1). Further functional enrichment analyses demonstrated that two positively selected genes (ACO1 and ACAD10) were involved in metabolic process (GO:0008152, p-value = .032), representing a significant enrichment. Sequence analysis of 117 orthologous genes shared by the two groups showed that the LEMD2, RRBP1, and IGBP1 genes might be affected by artificial selection in farmed foxes, with mutation sites located within sequences that are otherwise highly conserved across most mammals. Our results provide a valuable transcriptomic resource for future genetic studies and improvement in the assisted breeding of foxes and other farmed animals.
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Affiliation(s)
- Xiufeng Yang
- College of Life ScienceQufu Normal UniversityQufuChina
| | | | - Qi Wang
- Hulunbuir Academy of Inland Lakes in Northern Cold & Arid AreasHulunbuirChina
| | - Xiaodong Gao
- College of Life ScienceQufu Normal UniversityQufuChina
| | - Tian Xia
- College of Life ScienceQufu Normal UniversityQufuChina
| | - Chao Zhao
- College of Life ScienceQufu Normal UniversityQufuChina
| | - Huashan Dou
- Hulunbuir Academy of Inland Lakes in Northern Cold & Arid AreasHulunbuirChina
| | - Honghai Zhang
- College of Life ScienceQufu Normal UniversityQufuChina
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15
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Evolutionary linguistics can help refine (and test) hypotheses about how music might have evolved. Behav Brain Sci 2021; 44:e64. [PMID: 34588005 DOI: 10.1017/s0140525x20000680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Both the music and social bonding (MSB) hypothesis and the music as a credible signal hypothesis emerge as solid views of how human music and human musicality might have evolved. Nonetheless, both views could be improved (and tested in better ways) with the consideration of the way in which human language(s) might have evolved under the effects of our self-domestication.
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16
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Benítez-Burraco A, Pörtl D, Jung C. Did Dog Domestication Contribute to Language Evolution? Front Psychol 2021; 12:695116. [PMID: 34589022 PMCID: PMC8473740 DOI: 10.3389/fpsyg.2021.695116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/02/2021] [Indexed: 11/20/2022] Open
Abstract
Different factors seemingly account for the emergence of present-day languages in our species. Human self-domestication has been recently invoked as one important force favoring language complexity mostly via a cultural mechanism. Because our self-domestication ultimately resulted from selection for less aggressive behavior and increased prosocial behavior, any evolutionary or cultural change impacting on aggression levels is expected to have fostered this process. Here, we hypothesize about a parallel domestication of humans and dogs, and more specifically, about a positive effect of our interaction with dogs on human self-domestication, and ultimately, on aspects of language evolution, through the mechanisms involved in the control of aggression. We review evidence of diverse sort (ethological mostly, but also archeological, genetic, and physiological) supporting such an effect and propose some ways of testing our hypothesis.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville, Spain
| | - Daniela Pörtl
- Psychiatric Department, Saale-Unstrut Klinikum, Teaching Hospital Leipzig and Jena Universities, Naumburg, Germany
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17
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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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18
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Zhu T, Qi X, Chen Y, Wang L, Lv X, Yang W, Zhang J, Li K, Ning Z, Jiang Z, Qu L. Positive selection of skeleton-related genes during duck domestication revealed by whole genome sequencing. BMC Ecol Evol 2021; 21:165. [PMID: 34488647 PMCID: PMC8419914 DOI: 10.1186/s12862-021-01894-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 08/20/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Domestication alters several phenotypic, neurological, and physiological traits in domestic animals compared to those in their wild ancestors. Domestic ducks originated from mallards, and some studies have shown that spot-billed ducks may have also made minor genetic contributions to domestication. Compared with the two ancestral species, domestic ducks generally differ in body size and bone morphology. In this study, we performed both genomic and transcriptomic analyses to identify candidate genes for elucidating the genetic mechanisms underlying phenotypic variation. METHODS In this study, the duck genome data from eight domestic breeds and two wild species were collected to study the genetic changes during domestication. And the transcriptome data of different tissues from wild ducks and seven domestic ducks were used to reveal the expression difference between wild and domestic ducks. RESULTS Using fixation index (Fst) algorithm and transcriptome data, we found that the genes related to skeletal development had high Fst values in wild and domestic breeds, and the differentially expressed genes were mainly enriched in the ossification pathway. Our data strongly suggest that the skeletal systems of domestic ducks were changed to adapt to artificial selection for larger sizes. In addition, by combining the genome and transcriptome data, we found that some Fst candidate genes exhibited different expression patterns, and these genes were found to be involved in digestive, immune, and metabolic functions. CONCLUSIONS A wide range of phenotypic differences exists between domestic and wild ducks. Through both genome and transcriptome analyses, we found that genes related to the skeletal system in domestic ducks were strongly selected. Our findings provide new insight into duck domestication and selection effects during the domestication.
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Affiliation(s)
- Tao Zhu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China
| | - Xin Qi
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China
| | - Yu Chen
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Liang Wang
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Xueze Lv
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Weifang Yang
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Jianwei Zhang
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Kaiyang Li
- Beijing General Station of Animal Husbandry, Beiyuan Road 15A#, Beijing, 100107, China
| | - Zhonghua Ning
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China
| | - Zhihua Jiang
- Department of Animal Sciences, Center for Reproductive Biology, Veterinary and Biomedical Research Building, Washington State University, Pullman, Washington, 647010, USA
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Yuanmingyuan West Road 2#, Beijing, 100193, China.
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