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Embryonic geometry underlies phenotypic variation in decanalized conditions
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Huang, Anqi, Rupprecht, Jean-François and Saunders, Timothy E. (2020) Embryonic geometry underlies phenotypic variation in decanalized conditions. eLife, 9 . e47380. doi:10.7554/eLife.47380 ISSN 2050-084X.
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WRAP-embryonic-geometry-underlies-phenotypic-variation-decanalized-condition-Saunders-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2767Kb) | Preview |
Official URL: http://dx.doi.org/10.7554/eLife.47380
Abstract
During development, many mutations cause increased variation in phenotypic outcomes, a phenomenon termed decanalization. Phenotypic discordance is often observed in the absence of genetic and environmental variations, but the mechanisms underlying such inter-individual phenotypic discordance remain elusive. Here, using the anterior-posterior (AP) patterning of the Drosophila embryo, we identified embryonic geometry as a key factor predetermining patterning outcomes under decanalizing mutations. With the wild-type AP patterning network, we found that AP patterning is robust to variations in embryonic geometry; segmentation gene expression remains reproducible even when the embryo aspect ratio is artificially reduced by more than twofold. In contrast, embryonic geometry is highly predictive of individual patterning defects under decanalized conditions of either increased bicoid (bcd) dosage or bcd knockout. We showed that the phenotypic discordance can be traced back to variations in the gap gene expression, which is rendered sensitive to the geometry of the embryo under mutations.
| Item Type: | Journal Article | |||||||||
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| Subjects: | Q Science > QH Natural history Q Science > QL Zoology |
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| Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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| Library of Congress Subject Headings (LCSH): | Phenotype , Drosophila , Mutation (Biology) , Pattern formation (Biology) | |||||||||
| Journal or Publication Title: | eLife | |||||||||
| Publisher: | eLife Sciences Publications Ltd. | |||||||||
| ISSN: | 2050-084X | |||||||||
| Official Date: | 12 February 2020 | |||||||||
| Dates: |
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| Volume: | 9 | |||||||||
| Article Number: | e47380 | |||||||||
| DOI: | 10.7554/eLife.47380 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||
| Date of first compliant deposit: | 13 January 2021 | |||||||||
| Date of first compliant Open Access: | 18 January 2021 | |||||||||
| RIOXX Funder/Project Grant: |
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| Is Part Of: | 1 |
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