1. The molecular basis of socially mediated phenotypic plasticity in a eusocial paper wasp
- Author
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Max Reuter, Benjamin A. Taylor, Seirian Sumner, Alessandro Cini, and Christopher D. R. Wyatt
- Subjects
0106 biological sciences ,0301 basic medicine ,Bioinformatics ,Science ,Wasps ,education ,Gene regulatory network ,General Physics and Astronomy ,Polistes dominula ,010603 evolutionary biology ,01 natural sciences ,Article ,General Biochemistry, Genetics and Molecular Biology ,Machine Learning ,03 medical and health sciences ,Gene expression ,Animals ,Humans ,Gene Regulatory Networks ,Social Behavior ,Paper wasp ,Phenotypic plasticity ,Multidisciplinary ,biology ,Gene Expression Profiling ,Computational Biology ,General Chemistry ,Animal behaviour ,biology.organism_classification ,Adaptation, Physiological ,Phenotype ,Eusociality ,Gene Ontology ,030104 developmental biology ,Evolutionary biology ,Female ,Adaptation ,Transcriptome ,Entomology ,Algorithms - Abstract
Phenotypic plasticity, the ability to produce multiple phenotypes from a single genotype, represents an excellent model with which to examine the relationship between gene expression and phenotypes. Analyses of the molecular foundations of phenotypic plasticity are challenging, however, especially in the case of complex social phenotypes. Here we apply a machine learning approach to tackle this challenge by analyzing individual-level gene expression profiles of Polistes dominula paper wasps following the loss of a queen. We find that caste-associated gene expression profiles respond strongly to queen loss, and that this change is partly explained by attributes such as age but occurs even in individuals that appear phenotypically unaffected. These results demonstrate that large changes in gene expression may occur in the absence of outwardly detectable phenotypic changes, resulting here in a socially mediated de-differentiation of individuals at the transcriptomic level but not at the levels of ovarian development or behavior., Connecting genotypes to complex social behaviour is challenging. Taylor et al. use machine learning to show a strong response of caste-associated gene expression to queen loss, wherein individual wasp’s expression profiles become intermediate between queen and worker states, even in the absence of behavioural changes.
- Published
- 2021