Body organization within arthropods is enormously diverse, but a fusion of segments into \"functional groups\" (tagmatization) is found in all species. Within Tetraconata/Pancrustacea, an anterior head, a locomotory thorax region, and a posterior, mostly limbless tagma known as the abdomen is present. The posterior-most tagma in crustaceans is frequently confused with the malacostracan, for example, decapod pleon often misleadingly termed abdomen, however, its evolutionary and developmental origin continues to pose a riddle, especially the completely limbless abdomen of the \"entomostracan morphotype\" (e.g., fairy shrimps). Since the discovery of Hox genes and their involvement in specifying the morphology or identity of segments, tagmata, or regions along the anteroposterior axis of an organism, only a few studies have focused on model organisms representing the \"entomostracan morphotype\" and used a variety of dedicated Hox genes and their transcription products to shine light on abdomen formation. The homeotic genes or the molecular processes that determine the identity of the entomostracan abdomen remain unknown to date. This study focuses on the \"entomostracan morphotype\" representative Derocheilocaris remanei (Mystacocarida). We present a complete overview of development throughout larval stages and investigate homeotic gene expression data using the antibody FP6.87 that binds specifically to epitopes of Ultrabithorax/Abdominal-A proteins. Our results suggest that the abdomen in Mystacocarida is bipartite (abdomen I + abdomen II). We suggest that the limbless abdomen is an evolutionary novelty that evolved several times independently within crustaceans and which might be the result of a progressive reduction of former thoracic segments into abdominal segments.

In addition to its ability to regenerate any amputated body part, the Hydra freshwater polyp shows the amazing ability to regenerate as a full polyp after a complete dissociation of its tissues. The developmental processes at work in reaggregates undergoing whole-body regeneration can be investigated at the molecular level by RNA interference (RNAi). Here we provide a protocol that combines β-catenin RNAi with reaggregation. This protocol serves as a basis to generate \"RNAi-reaggregates,\" followed by the extraction of high-quality RNA for the precise quantification of gene expression by real-time PCR. This protocol is efficient, providing both a molecular signature, with the significant downregulation of β-catenin and Wnt3, as well as a robust phenotype, the lack of axis formation, which is observed in all reaggregates.

Human brain development is an intricate process that involves precisely timed coordination of cell proliferation, fate specification, neuronal differentiation, migration, and integration of diverse cell types. Understanding of these fundamental processes, however, has been largely constrained by limited access to fetal brain tissue and the inability to prospectively study neurodevelopment in humans at the molecular, cellular and system levels. Although non-human model organisms have provided important insights into mechanisms underlying brain development, these systems do not fully recapitulate many human-specific features that often relate to disease. To address these challenges, human brain organoids, self-assembled three-dimensional neural aggregates, have been engineered from human pluripotent stem cells to model the architecture and cellular diversity of the developing human brain. Recent advancements in neural induction and regional patterning using small molecules and growth factors have yielded protocols for generating brain organoids that recapitulate the structure and neuronal composition of distinct brain regions. Here, we first provide an overview of early mammalian brain development with an emphasis on molecular cues that guide region specification. We then focus on recent efforts in generating human brain organoids that model the development of specific brain regions and highlight endeavors to enhance the cellular complexity to better mimic the in vivo developing human brain. We also provide examples of how organoid models have enhanced our understanding of human neurological diseases and conclude by discussing limitations of brain organoids with our perspectives on future advancements to maximize their potential.

The development of the wing imaginal disc (wing disc) is commonly adopted for the studies of patterning and growth which are two fundamental problems in developmental biology. Decapentaplegic (Dpp) signaling regulates several aspects of wing development, such as the anterior (A)-posterior (P) patterning, cellular growth rate, and cell adhesion. The distribution and activity of Dpp signaling are controlled in part by the expression level of its major type I receptor, Thickveins (Tkv). In this paper, we focus on theoretically investigating mechanisms by which the highly asymmetric pattern of Tkv is established in Drosophila wing discs. To the end, a mathematical model of Hh signaling and Dpp signaling is proposed and validated by comparisons with experimental observations. Our model provides a comprehensive view of the formation of Tkv gradients in wing discs. We found that engrailed (En), Hedgehog (Hh) signaling, and Dpp signaling cooperate to establish the asymmetric gradients of Tkv and pMad in the wing disc. Moreover, our model suggests a Brinker-mediated mechanism of Dpp-dependent repression of Tkv. Based on this mechanism, a couple of predicted experimental observations have been provided for further lab confirmation.

The morphology and function of organs depend on coordinated changes in gene expression during development. These changes are controlled by transcription factors, signaling pathways, and their regulatory interactions, which are represented by gene regulatory networks (GRNs). Therefore, the structure of an organ GRN restricts the morphological and functional variations that the organ can experience-its potential morphospace. Therefore, two important questions arise when studying any GRN: what is the predicted available morphospace and what are the regulatory linkages that contribute the most to control morphological variation within this space. Here, we explore these questions by analyzing a small \"three-node\" GRN model that captures the Hh-driven regulatory interactions controlling a simple visual structure: the ocellar region of Drosophila. Analysis of the model predicts that random variation of model parameters results in a specific non-random distribution of morphological variants. Study of a limited sample of drosophilids and other dipterans finds a correspondence between the predicted phenotypic range and that found in nature. As an alternative to simulations, we apply Bayesian networks methods in order to identify the set of parameters with the largest contribution to morphological variation. Our results predict the potential morphological space of the ocellar complex and identify likely candidate processes to be responsible for ocellar morphological evolution using Bayesian networks. We further discuss the assumptions that the approach we have taken entails and their validity.