Evidence map›Paper›PMID 25953335›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Behavioral idiosyncrasy reveals genetic control of phenotypic variability.

Julien F Ayroles, Sean M Buchanan, Chelsea O'Leary, Kyobi Skutt-Kakaria, Jennifer K Grenier, Andrew G Clark, Daniel L Hartl, Benjamin L de Bivort

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed
37.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 236 citations in OpenAlex.

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  6. Dynamical modeling of individual sensory reactivity and habituation learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Spatiotemporal dynamics of locomotor decisions inbioRxiv : the preprint server for biology · 2024
    Article

42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Julien F AyrolesDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138; Harvard Society of Fellows, Harvard University, Cambridge, MA 02138; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853; ayroles@fas.harvard.edu dhartl@oeb.harvard.edu.
Sean M BuchananRowland Institute at Harvard, Cambridge, MA 02142; and.
Chelsea O'LearyDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138; Rowland Institute at Harvard, Cambridge, MA 02142; and Center for Brain Science, Harvard University, Cambridge, MA 02138.
Kyobi Skutt-KakariaDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138; Center for Brain Science, Harvard University, Cambridge, MA 02138.
Jennifer K GrenierDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853;
Andrew G ClarkDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853;
Daniel L HartlDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138; ayroles@fas.harvard.edu dhartl@oeb.harvard.edu.
Benjamin L de BivortDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138; Rowland Institute at Harvard, Cambridge, MA 02142; and Center for Brain Science, Harvard University, Cambridge, MA 02138.
Harvard University · USCornell University · US

Funding

Functional /Comparative Genomic of Drosophila immunityR01AI064950 · NIAID · CORNELL UNIVERSITY ITHACA · PI CLARK, ANDREW G, LAZZARO, BRIAN · 2005 to 2016
$3.7M
NIAID NIH HHS R01 AI064950
6 · The paper itself

Abstract

Quantitative genetics has primarily focused on describing genetic effects on trait means and largely ignored the effect of alternative alleles on trait variability, potentially missing an important axis of genetic variation contributing to phenotypic differences among individuals. To study the genetic effects on individual-to-individual phenotypic variability (or intragenotypic variability), we used Drosophila inbred lines and measured the spontaneous locomotor behavior of flies walking individually in Y-shaped mazes, focusing on variability in locomotor handedness, an assay optimized to measure variability. We discovered that some lines had consistently high levels of intragenotypic variability among individuals, whereas lines with low variability behaved as although they tossed a coin at each left/right turn decision. We demonstrate that the degree of variability is itself heritable. Using a genome-wide association study (GWAS) for the degree of intragenotypic variability as the phenotype across lines, we identified several genes expressed in the brain that affect variability in handedness without affecting the mean. One of these genes, Ten-a, implicates a neuropil in the central complex of the fly brain as influencing the magnitude of behavioral variability, a brain region involved in sensory integration and locomotor coordination. We validated these results using genetic deficiencies, null alleles, and inducible RNAi transgenes. Our study reveals the constellation of phenotypes that can arise from a single genotype and shows that different genetic backgrounds differ dramatically in their propensity for phenotypic variabililty. Because traditional mean-focused GWASs ignore the contribution of variability to overall phenotypic variation, current methods may miss important links between genotype and phenotype.

Indexed as

AnimalsAnimals, Genetically ModifiedBehavior, AnimalBrainDrosophila melanogasterDrosophila ProteinsFemaleGene Knockdown TechniquesGenes, InsectGenetic VariationGenome-Wide Association StudyInbreedingLocomotionMalePhenotypeQuantitative Trait LociDrosophila ProteinsReceptors, Cell SurfaceTen-a protein, DrosophilaDGRPpersonalityten-avariabilityvariance QTL

Identifiers

PMID25953335
PMCPMC4450409
OpenAlexW2112316313

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.