A Principal Components Analysis and Functional Annotation of Differentially Expressed Genes in Brain Regions of Gray Rats Selected for Tame or Aggressive Behavior

Author:

Chadaeva Irina1ORCID,Kozhemyakina Rimma1,Shikhevich Svetlana1,Bogomolov Anton12ORCID,Kondratyuk Ekaterina134,Oshchepkov Dmitry12,Orlov Yuriy L.56ORCID,Markel Arcady L.12ORCID

Affiliation:

1. Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia

2. Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia

3. Siberian Federal Scientific Centre of Agro-BioTechnologies, Russian Academy of Sciences, Krasnoobsk 630501, Russia

4. Research Institute of Clinical and Experimental Lymphology—Branch of Institute of Cytology and Genetics, Novosibirsk 630117, Russia

5. Institute of Biodesign and Complex Systems Modeling, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia

6. Agrarian and Technological Institute, Peoples’ Friendship University of Russia, Moscow 117198, Russia

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.

Funder

Russian Science Foundation

Publisher

MDPI AG

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