Optimal Decoding of Cellular Identities in a Genetic Network.

TitleOptimal Decoding of Cellular Identities in a Genetic Network.
Publication TypeJournal Article
Year of Publication2019
AuthorsPetkova, MD, Tkačik, G, Bialek, W, Wieschaus, EF, Gregor, T
Date Published2019 02 07
KeywordsAnimals, Body Patterning, Cell Differentiation, Drosophila melanogaster, Drosophila Proteins, Embryo, Nonmammalian, Embryonic Development, Gene Expression Regulation, Developmental, Gene Regulatory Networks, GTPase-Activating Proteins, Models, Genetic, Transcription Factors

<p>In developing organisms, spatially prescribed cell identities are thought to be determined by the expression levels of multiple genes. Quantitative tests of this idea, however, require a theoretical framework capable of exposing the rules and precision of cell specification over developmental time. We use the gap gene network in the early fly embryo as an example to show how expression levels of the four gap genes can be jointly decoded into an optimal specification of position with 1% accuracy. The decoder correctly predicts, with no free parameters, the dynamics of pair-rule expression patterns at different developmental time points and in various mutant backgrounds. Precise cellular identities are thus available at the earliest stages of development, contrasting the prevailing view of positional information being slowly refined across successive layers of the patterning network. Our results suggest that developmental enhancers closely approximate a mathematically optimal decoding strategy.</p>

Alternate JournalCell
PubMed ID30712870
PubMed Central IDPMC6526179
Grant ListP50 GM071508 / GM / NIGMS NIH HHS / United States
R01 GM077599 / GM / NIGMS NIH HHS / United States
R01 GM097275 / GM / NIGMS NIH HHS / United States
/ HHMI / Howard Hughes Medical Institute / United States