Model organisms and mechanisms of gene–environment interactions in structural birth defects

genesis ◽  
2021 ◽  
Author(s):  
Irene E. Zohn
Development ◽  
2020 ◽  
Vol 147 (21) ◽  
pp. dev191064
Author(s):  
Tyler G. Beames ◽  
Robert J. Lipinski

2015 ◽  
Vol 103 (8) ◽  
pp. 692-702 ◽  
Author(s):  
Caroline G. Tai ◽  
Rebecca E. Graff ◽  
Jinghua Liu ◽  
Michael N. Passarelli ◽  
Joel A. Mefford ◽  
...  

2009 ◽  
Vol 75 (5) ◽  
pp. 409-423 ◽  
Author(s):  
H Zhu ◽  
S Kartiko ◽  
RH Finnell

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Luisa Orsini ◽  
Donald Gilbert ◽  
Ram Podicheti ◽  
Mieke Jansen ◽  
James B. Brown ◽  
...  

Abstract The full exploration of gene-environment interactions requires model organisms with well-characterized ecological interactions in their natural environment, manipulability in the laboratory and genomic tools. The waterflea Daphnia magna is an established ecological and toxicological model species, central to the food webs of freshwater lentic habitats and sentinel for water quality. Its tractability and cyclic parthenogenetic life-cycle are ideal to investigate links between genes and the environment. Capitalizing on this unique model system, the STRESSFLEA consortium generated a comprehensive RNA-Seq data set by exposing two inbred genotypes of D. magna and a recombinant cross of these genotypes to a range of environmental perturbations. Gene models were constructed from the transcriptome data and mapped onto the draft genome of D. magna using EvidentialGene. The transcriptome data generated here, together with the available draft genome sequence of D. magna and a high-density genetic map will be a key asset for future investigations in environmental genomics.


2016 ◽  
Author(s):  
Danny S. Park ◽  
Itamar Eskin ◽  
Eun Yong Kang ◽  
Eric R. Gamazon ◽  
Celeste Eng ◽  
...  

IAbstractBackground:Epistasis and gene-environment interactions are known to contribute significantly to variation of complex phenotypes in model organisms. However, their identification in human association studies remains challenging for myriad reasons. In the case of epistatic interactions, the large number of potential interacting sets of genes presents computational, multiple hypothesis correction, and other statistical power issues. In the case of gene-environment interactions, the lack of consistently measured environmental covariates in most disease studies precludes searching for interactions and creates difficulties for replicating studies.Results:In this work, we develop a new statistical approach to address these issues that leverages genetic ancestry in admixed populations. We applied our method to gene expression and methylation data from African American and Latino admixed individuals respectively, identifying nine interactions that were significant at p < 5×10−8, we show that two of the interactions in methylation data replicate, and the remaining six are significantly enriched for low p-values (p < 1.8×10−6).Conclusion:We show that genetic ancestry can be a useful proxy for unknown and unmeasured covariates in the search for interaction effects. These results have important implications for our understanding of the genetic architecture of complex traits.


2019 ◽  
Author(s):  
Alfire Sidik ◽  
Groves B. Dixon ◽  
Hannah G. Kirby ◽  
Johann K. Eberhart

AbstractGene-environment interactions are likely to underlie most human birth defects. The most common environmental contributor to birth defects is likely prenatal alcohol exposure. Fetal Alcohol Spectrum Disorders (FASD) describes the full range of defects that result from prenatal alcohol exposure. Gene-ethanol interactions underlie susceptibility to FASD but we lack a mechanistic understanding of these interactions. Here, we leverage the genetic tractability of zebrafish to address this problem. We first show that vangl2, a member of the Wnt/planar cell polarity (Wnt/PCP) pathway that mediates convergent extension movements, strongly interacts with ethanol during late blastula and early gastrula stages. Embryos mutant or heterozygous for vangl2 are sensitized to ethanol- induced midfacial hypoplasia. We performed single-embryo RNA-Seq during early embryonic stages, to assess individual variation to the transcriptional response to ethanol and determine the mechanism of the vangl2-ethanol interaction. To identify the pathway(s) that are disrupted by ethanol we used these global changes in gene expression to identify small molecules that mimic the effects of ethanol via the Library of Integrated Network- based Cellular Signatures (LINCS L1000) dataset. Surprisingly, this dataset predicted that the Sonic Hedgehog (Shh) pathway inhibitor, cyclopamine, would mimic the effects of ethanol, despite the fact that ethanol did not alter the expression levels of direct targets of Shh signaling. Indeed, we found that ethanol and cyclopamine strongly interact to disrupt midfacial development. Collectively, these results suggest that the midfacial defects in ethanol-exposed vangl2 mutants are due to an indirect interaction between ethanol and the Shh pathway. Vangl2 functions as part of a signaling pathway that regulates coordinated cell movements during midfacial development. Consistent with an indirect model, a critical source of Shh signaling that separates the developing eye field into bilateral eyes, allowing the expansion of the midface, becomes mispositioned in ethanol-exposed vangl2 mutants. We demonstrate that ethanol also interacts with another Wnt/PCP pathway member, gpc4, and a chemical inhibitor, blebbistatin. By characterizing membrane protrusions, we demonstrate that ethanol synergistically interacts with the loss of vangl2 to disrupt cell polarity required for convergent extension movements. Collectively, our results shed light on the mechanism by which the most common teratogen can disrupt development.


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