ABSTRACT
The Drosophila GATA factor gene serpent (srp) is required for the early differentiation of the anterior and posterior midgut primordia. In particular, srp is sufficient and necessary for the primordial gut cells to undertake an epithelial-to-mesenchimal transition (EMT). Two other GATA factor genes, dGATAe and grain (grn), are also specifically expressed in the midgut. On the one hand, dGATAe expression is activated by srp. Embryos homozygous for a deficiency uncovering dGATAe were shown to lack the expression of some differentiated midgut genes. Moreover, ectopic expression of dGATAe was sufficient to drive the expression of some of these differentiation marker genes, thus establishing the role of dGATAe in the regulation of their expression. However, due to the gross abnormalities associated with this deficiency, it was not possible to assess whether, similarly to srp, dGATAe might play a role in setting the midgut morphology. To further investigate this role we decided to generate a dGATAe mutant. On the other hand, grn is expressed in the midgut primordia around stage 11 and remains expressed until the end of embryogenesis. Yet, no midgut function has been described for grn. First, here we report that, as for dGATAe, midgut grn expression is dependent on srp; conversely, dGATAe and grn expression are independent of each other. Our results also indicate that, unlike srp, dGATAe and grn are not responsible for setting the general embryonic midgut morphology. We also show that the analysed midgut genes whose expression is lacking in embryos homozygous for a deficiency uncovering dGATAe are indeed dGATAe-dependent genes. Conversely, we do not find any midgut gene to be grn-dependent, with the exception of midgut repression of the proventriculus iroquois (iro) gene. In conclusion, our results clarify the expression patterns and function of the GATA factor genes expressed in the embryonic midgut.
Subject(s)
Drosophila Proteins/metabolism , Drosophila/embryology , GATA Transcription Factors/metabolism , Animals , Animals, Genetically Modified , CRISPR-Cas Systems , Digestive System/embryology , Digestive System/metabolism , Digestive System/pathology , Drosophila/genetics , Drosophila/metabolism , Drosophila Proteins/genetics , Embryo, Nonmammalian/metabolism , GATA Transcription Factors/genetics , Gene Expression Regulation, Developmental , Homeodomain Proteins/metabolism , In Situ Hybridization , MutationABSTRACT
Epithelial morphogenesis generates the shape of tissues, organs and embryos and is fundamental for their proper function. It is a dynamic process that occurs at multiple spatial scales from macromolecular dynamics, to cell deformations, mitosis and apoptosis, to coordinated cell rearrangements that lead to global changes of tissue shape. Using time lapse imaging, it is possible to observe these events at a system level. However, to investigate morphogenetic events it is necessary to develop computational tools to extract quantitative information from the time lapse data. Toward this goal, we developed an image-based computational pipeline to preprocess, segment and track epithelial cells in 4D confocal microscopy data. The computational pipeline we developed, for the first time, detects the adherens junctions of epithelial cells in 3D, without the need to first detect cell nuclei. We accentuate and detect cell outlines in a series of steps, symbolically describe the cells and their connectivity, and employ this information to track the cells. We validated the performance of the pipeline for its ability to detect vertices and cell-cell contacts, track cells, and identify mitosis and apoptosis in surface epithelia of Drosophila imaginal discs. We demonstrate the utility of the pipeline to extract key quantitative features of cell behavior with which to elucidate the dynamics and biomechanical control of epithelial tissue morphogenesis. We have made our methods and data available as an open-source multiplatform software tool called TTT (http://github.com/morganrcu/TTT).