| Literature DB >> 28400852 |
Chang S Han1, Niels J Dingemanse1,2.
Abstract
There is increasing interest in the proximate factors that underpin individual variation in suites of correlated behaviours. In this paper, we propose that dietary macronutrient composition, an underexplored environmental factor, might play a key role. Variation in macronutrient composition can lead to among-individual differentiation in single behaviours ('personality' ) as well as among-individual covariation between behaviours ('behavioural syndromes' ). Here, we argue that the nutritional balance during any life stage might affect the development of syndrome structure and the expression of genes with pleiotropic effects that influence development of multiple behaviours, hence genetic syndrome structure. We further suggest that males and females should typically differ in diet-dependent genetic syndrome structure despite a shared genetic basis. We detail how such diet-dependent multivariate gene-environment interactions can have major repercussions for the evolution of behavioural syndromes.Entities:
Keywords: behavioural syndrome; gene-environment interaction; genetic correlation; intake target; nutrition; personality; quantitative genetics
Year: 2015 PMID: 28400852 PMCID: PMC5385817 DOI: 10.1186/1742-9994-12-S1-S5
Source DB: PubMed Journal: Front Zool ISSN: 1742-9994 Impact factor: 3.172
Figure 1The geometry of nutritional decisions. (a) Animals can reach a nutritional intake target (ratio of nutrient A consumption relative to B consumption) by switching nutritionally complementary foods. (b) However, the intake target (point i) cannot be reached when animals are forced to forage on imbalanced food sources. When animals must satisfy the requirement of nutrient B, they suffer a deficit of nutrient A (point a) or an excess of nutrient A (point b). Otherwise, animals suffer both an excess of nutrient B and a deficit of nutrient A (point c). The illustration is modified from figure 1 in Ref. [1].
Effect of macronutrient diet composition on the expression of behaviour in arthropods.
| Organism | Macronutrient | Effect on behaviour a | References |
|---|---|---|---|
|
| carbohydrate | male calling effort (+) | [ |
|
| protein (+ vitamins) | female aggression (+) | [ |
|
| protein | male courtship (+) | [ |
|
| protein | male mating frequency (+) | [ |
|
| protein | cannibalism (-) | [ |
a. Effect of high nutrient intake on behavioural expression: ‘(+)’ indicates that the expression of the behaviour is increased when the macronutrient intake is high.
† This Table excludes research on effects of diet quantity (e.g. calories, food-abundance/deficiency) and research on effects of diet quality in which macronutrients are not completely controlled for (e.g. different types of prey or prey at different ages).
Figure 2The contribution of genetic and environmental factors in shaping behavioural syndromes. A hierarchical diagram illustrating how raw behavioural correlations can be decomposed into within-individual and among-individual correlations. The among-individual correlation (behavioural syndrome) is the correlation between each individual's average phenotype across multiple behaviours. The within-individual correlation, in contrast, is the correlation between changes in multiple behaviours expressed within the same individual. Among-individual correlations are themselves affected by genetic effects (via pleiotropy or linkage disequilibrium) and environmental effects [40].
Figure 3A graphical prediction of effects of macronutrient composition on the expression of genetic variance and covariance in multiple behaviours. Macronutrient composition is predicted to affect the expression of genetic variance in certain behaviours (arrows a and b), and correlation between behaviours (arrow c). Effects of macronutrient composition likely depend on the type of context in which behaviour is expressed (arrows a and b). Moreover, genetic covariation between behaviours could also be directly determined by macronutrient composition via pleiotropic gene actions without changing among-individual variance (arrow d).