Application of Domain- and Genotype-Specific Models to Infer Post-Transcriptional Regulation of Segmentation Gene Expression in <i>Drosophila</i>
Unlike transcriptional regulation, the post-transcriptional mechanisms underlying zygotic segmentation gene expression in early <i>Drosophila</i> embryo have been insufficiently investigated. Condition-specific post-transcriptional regulation plays an important role in the development of...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/029960948e934336b464627afb00d077 |
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| Sumario: | Unlike transcriptional regulation, the post-transcriptional mechanisms underlying zygotic segmentation gene expression in early <i>Drosophila</i> embryo have been insufficiently investigated. Condition-specific post-transcriptional regulation plays an important role in the development of many organisms. Our recent study revealed the domain- and genotype-specific differences between mRNA and the protein expression of <i>Drosophila hb</i>, <i>gt</i>, and <i>eve</i> genes in cleavage cycle 14A. Here, we use this dataset and the dynamic mathematical model to recapitulate protein expression from the corresponding mRNA patterns. The condition-specific nonuniformity in parameter values is further interpreted in terms of possible post-transcriptional modifications. For <i>hb</i> expression in wild-type embryos, our results predict the position-specific differences in protein production. The protein synthesis rate parameter is significantly higher in <i>hb</i> anterior domain compared to the posterior domain. The parameter sets describing Gt protein dynamics in wild-type embryos and <i>Kr</i> mutants are genotype-specific. The spatial discrepancy between <i>gt</i> mRNA and protein posterior expression in <i>Kr</i> mutants is well reproduced by the whole axis model, thus rejecting the involvement of post-transcriptional mechanisms. Our models fail to describe the full dynamics of <i>eve</i> expression, presumably due to its complex shape and the variable time delays between mRNA and protein patterns, which likely require a more complex model. Overall, our modeling approach enables the prediction of regulatory scenarios underlying the condition-specific differences between mRNA and protein expression in early embryo. |
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