Major gene expression changes and epigenetic remodelling in Nile tilapia muscle after just one generation of domestication.
Ioannis KonstantinidisPål SætromRobin MjelleArtem V NedoluzhkoDiego RobledoJorge Manuel De Oliveira FernandesPublished in: Epigenetics (2020)
The historically recent domestication of fishes has been essential to meet the protein demands of a growing human population. Selection for traits of interest during domestication is a complex process whose epigenetic basis is poorly understood. Cytosine hydroxymethylation is increasingly recognized as an important DNA modification involved in epigenetic regulation. In the present study, we investigated if hydroxymethylation plays a role in fish domestication and demonstrated for the first time at a genome-wide level and single nucleotide resolution that the muscle hydroxymethylome changes after a single generation of Nile tilapia (Oreochromis niloticus, Linnaeus) domestication. The overall decrease in hydroxymethylcytosine levels was accompanied by the downregulation of 2015 genes in fish reared in captivity compared to their wild progenitors. In contrast, several myogenic and metabolic genes that can affect growth potential were upregulated. There were 126 differentially hydroxymethylated cytosines between groups, which were not due to genetic variation; they were associated with genes involved in immune-, growth- and neuronal-related pathways. Taken together, our data unveil a new role for DNA hydroxymethylation in epigenetic regulation of fish domestication with impact in aquaculture and implications in artificial selection, environmental adaptation and genome evolution.
Keyphrases
- genome wide
- dna methylation
- gene expression
- skeletal muscle
- single molecule
- endothelial cells
- circulating tumor
- copy number
- magnetic resonance
- cell free
- cell proliferation
- magnetic resonance imaging
- human health
- signaling pathway
- transcription factor
- blood brain barrier
- computed tomography
- risk assessment
- brain injury
- climate change
- atomic force microscopy
- induced pluripotent stem cells
- bioinformatics analysis
- big data