Published June 24, 2021 | Version v1
Dataset Open

Early social deprivation shapes neuronal programming of the social decision-making network in a cooperatively breeding fish

  • 1. University of Bern
  • 2. Instituto Gulbenkian de Ciência
  • 3. The University of Texas at Austin
  • 4. Université Laval

Description

The early social environment an animal experiences may have pervasive effects on its behaviour. The Social Decision-Making network (SDMN), consisting of interconnected brain nuclei from the forebrain and midbrain, is involved in the regulation of behaviours during social interactions. In species with advanced sociality such as cooperative breeders, offspring are exposed to a large number and a great diversity of social interactions every day of their early life, which may have life-long consequences on the development of several neurophysiological systems within the SDMN, although these effects are largely unknown. We studied these life-long effects in a cooperatively breeding fish, Neolamprologus pulcher, focusing on the expression in the SDMN of genes involved in the monoaminergic and stress response systems. N. pulcher fry were raised until an age of two months either with their parents, subordinate helpers and same clutch siblings (+F), or with same clutch siblings only (-F). Analysis of the expression of glucocorticoid receptor (GR), mineralcorticoid receptors (MR), corticotropin releasing factor (CRF), dopamine receptors 1 and 2, serotonin transporter (SERT) and DNA methyltransferase I (DNMT1) genes showed that early social experiences altered the neurogenomic state of the preoptic area (POA) of the hypothalamus. The dopamine receptor 1 gene was up-regulated in the POA of -F fish, compared to +F fish. -F fish also showed up-regulation of GR1 expression in the dorsal medial telencephalon (homologous to the basolateral amygdala). Our results suggest that early social environment has life-long effects on the development of several neurophysiological systems within the SDMN. --

Notes

The supporting information file contains an explanation of each variable in the dataset.

NA = values not available. Information regarding the methods and analysis are available in the manuscript refered above. 

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Related works

Is source of
10.5281/zenodo.5006351 (DOI)