A Principal Components Analysis and Functional Annotation of Differentially Expressed Genes in Brain Regions of Gray Rats Selected for Tame or Aggressive Behavior.
Irina ChadaevaRimma KozhemyakinaSvetlana ShikhevichAnton G BogomolovEkaterina KondratyukDmitry OshchepkovYuriy L OrlovArcady L MarkelPublished in: International journal of molecular sciences (2024)
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.
Keyphrases
- genome wide
- genome wide identification
- dna methylation
- gene expression
- bioinformatics analysis
- copy number
- genome wide analysis
- healthcare
- poor prognosis
- multiple sclerosis
- white matter
- big data
- long non coding rna
- resting state
- small molecule
- cerebral ischemia
- machine learning
- brain injury
- binding protein
- rna seq
- blood brain barrier
- quantum dots
- data analysis
- cognitive impairment
- drug induced