Abstract

BackgroundConsistent individual differences in behaviour, known as animal personalities, have been demonstrated within and across species. In fish, studies applying an animal personality approach have been used to resolve variation in physiological and molecular data suggesting a linkage, genotype-phenotype, between behaviour and transcriptome regulation. In this study, using three fish species (zebrafish; Danio rerio, Atlantic salmon; Salmo salar and European sea bass; Dicentrarchus labrax), we firstly address whether personality-specific mRNA transcript abundances are transferrable across distantly-related fish species and secondly whether a proactive transcriptome signature is conserved across all three species.ResultsPrevious zebrafish transcriptome data was used as a foundation to produce a curated list of mRNA transcripts related to animal personality across all three species. mRNA transcript copy numbers for selected gene targets show that differential mRNA transcript abundance in the brain appears to be partially conserved across species relative to personality type. Secondly, we performed RNA-Seq using whole brains from S. salar and D. labrax scoring positively for both behavioural and molecular assays for proactive behaviour. We further enriched this dataset by incorporating a zebrafish brain transcriptome dataset specific to the proactive phenotype. Our results indicate that cross-species molecular signatures related to proactive behaviour are functionally conserved where shared functional pathways suggest that evolutionary convergence may be more important than individual mRNAs.ConclusionsOur data supports the proposition that highly polygenic clusters of genes, with small additive effects, likely support the underpinning molecular variation related to the animal personalities in the fish used in this study. The polygenic nature of the proactive brain transcriptome across all three species questions the existence of specific molecular signatures for proactive behaviour, at least at the granularity of specific regulatory gene modules, level of genes, gene networks and molecular functions.

Highlights

  • Consistent individual differences in behaviour, known as animal personalities, have been demonstrated within and across species

  • In this study we have taken two distinct approaches firstly, we deployed a targeted approach, a discrete set of mRNAs, using a curated set of genes from our previous study in zebrafish representing differences between proactive and reactive fish [14]. From this curated gene set, we identified mRNAs that were specific to proactive behaviour and quantified their mRNA transcript copy numbers in the brains of Atlantic salmon (Salmo salar) and European sea bass (Dicentrarchus labrax) screened a priori for personality by using a behavioural test

  • Behavioural screening for risk taking in groups From the behavioural screening test performed for both species, S. salar and D. labrax, a total of 264 proactive and 207 reactive individuals were identified for S. salar (Table S1) from all experimental tanks; for D. labrax we obtained 120 proactive and 93 reactive individuals

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Summary

Introduction

Consistent individual differences in behaviour, known as animal personalities, have been demonstrated within and across species. Réale et al (2007) [3], within the context of ecology and evolution, proposed five primary animal personality traits ( called temperament traits): (1) shyness-boldness in response to risky situations, (2) exploration or avoidance of new situations, (3) general activity levels, (4) aggressiveness, and (5) sociability. Each of these measured on a sliding scale using a diverse set of methodologies provide data assessing the magnitude and intensity of individual variation and how consistent individuals are over time and across multiple contexts for a given personality trait. Some personalities can be related to stress coping styles/behavioural syndromes and vice versa where testing the animals under different stress situations and recording their responses can be effective [8, 9]

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