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doi: 10.1101/779363 , 10.7554/elife.64988 , 10.5281/zenodo.4081667 , 10.5281/zenodo.4110049 , 10.5281/zenodo.4081666
pmid: 34664550
pmc: PMC8526060
doi: 10.1101/779363 , 10.7554/elife.64988 , 10.5281/zenodo.4081667 , 10.5281/zenodo.4110049 , 10.5281/zenodo.4081666
pmid: 34664550
pmc: PMC8526060
AbstractIndividual animals vary in their behaviors. This is true even when they share the same genotype and were reared in the same environment. Clusters of covarying behaviors constitute behavioral syndromes, and an individual’s position along such axes of covariation is a representation of their personality. Despite these conceptual frameworks, the structure of behavioral covariation within a genotype is essentially uncharacterized and its mechanistic origins unknown. Passing hundreds of inbredDrosophilaindividuals through an experimental pipeline that captured hundreds of behavioral measures, we found correlations only between sparse pairs of behaviors. Thus, the space of behavioral variation has many independent dimensions. Manipulating the physiology of the brain, and specific neural populations, altered specific correlations. We also observed that variation in gene expression can predict an individual’s position on some behavior axes. This work represents the first steps in understanding the biological mechanisms determining the structure of behavioral variation within a genotype.
570, covariation, Behavior, Animal, Genotype, QH301-705.5, Science, invdividuality, Q, R, Genetics and Genomics, transcriptomics, Drosophila melanogaster, personality, high-throughput behavior, individuality, personality, covariation, neural circuits, isogenic animals, Drosophila melanogaster, Medicine, Animals, high-throughput behavior, Biology (General), neural circuits
570, covariation, Behavior, Animal, Genotype, QH301-705.5, Science, invdividuality, Q, R, Genetics and Genomics, transcriptomics, Drosophila melanogaster, personality, high-throughput behavior, individuality, personality, covariation, neural circuits, isogenic animals, Drosophila melanogaster, Medicine, Animals, high-throughput behavior, Biology (General), neural circuits
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 23 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |