FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Saha, S., Spinelli, L., Castro Mondragon, J.A., Kervadec, A., Lynott, M., Kremmer, L., Roder, L., Krifa, S., Torres, M., Brun, C., Vogler, G., Bodmer, R., Colas, A.R., Ocorr, K., Perrin, L. (2022). Genetic architecture of natural variation of cardiac performance from flies to humans.  eLife 11(): e82459.
FlyBase ID
FBrf0255051
Publication Type
Research paper
Abstract
Deciphering the genetic architecture of human cardiac disorders is of fundamental importance but their underlying complexity is a major hurdle. We investigated the natural variation of cardiac performance in the sequenced inbred lines of the Drosophila Genetic Reference Panel (DGRP). Genome-wide associations studies (GWAS) identified genetic networks associated with natural variation of cardiac traits which were used to gain insights as to the molecular and cellular processes affected. Non-coding variants that we identified were used to map potential regulatory non-coding regions, which in turn were employed to predict transcription factors (TFs) binding sites. Cognate TFs, many of which themselves bear polymorphisms associated with variations of cardiac performance, were also validated by heart-specific knockdown. Additionally, we showed that the natural variations associated with variability in cardiac performance affect a set of genes overlapping those associated with average traits but through different variants in the same genes. Furthermore, we showed that phenotypic variability was also associated with natural variation of gene regulatory networks. More importantly, we documented correlations between genes associated with cardiac phenotypes in both flies and humans, which supports a conserved genetic architecture regulating adult cardiac function from arthropods to mammals. Specifically, roles for PAX9 and EGR2 in the regulation of the cardiac rhythm were established in both models, illustrating that the characteristics of natural variations in cardiac function identified in Drosophila can accelerate discovery in humans.
PubMed ID
PubMed Central ID
PMC9668334 (PMC) (EuropePMC)
Related Publication(s)
Note

Uncovering the genetics of heart performance in Drosophila.
Le Bras, 2023, Lab Anim. (NY) 52(1): 6 [FBrf0255446]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    eLife
    Title
    eLife
    ISBN/ISSN
    2050-084X
    Data From Reference