Expression patterns of FGF and BMP pathway genes in the tardigrade Hypsibius exemplaris .
Kira L HeikesBob GoldsteinPublished in: bioRxiv : the preprint server for biology (2024)
A small number of conserved signaling pathways regulate development of most animals, yet we do not know where these pathways are deployed in most embryos. This includes tardigrades, a phylum with a unique body shape. We examined expression patterns of components of the BMP and FGF signaling pathways during embryonic segmentation and mesoderm development of the tardigrade Hypsibius exemplaris . Among the patterns examined, we found that an FGF ligand gene is expressed in ectodermal segment posteriors and an FGF receptor gene is expressed in underlying endomesodermal pouches, suggesting possible FGF signaling between these developing germ layers. We found that a BMP ligand gene is expressed in lateral ectoderm and dorsolateral bands along segment posteriors, while the BMP antagonist Sog gene is expressed in lateral ectoderm and also in a subset of endomesodermal cells, suggesting a possible role of BMP signaling in dorsal-ventral patterning of lateral ectoderm. In combination with known roles of these pathways during development of common model systems, we developed hypotheses for how the BMP and FGF pathways might regulate embryo segmentation and mesoderm formation of the tardigrade H. exemplaris . These results identify the expression patterns of genes from two conserved signaling pathways for the first time in the tardigrade phylum.
Keyphrases
- genome wide identification
- mesenchymal stem cells
- genome wide
- signaling pathway
- poor prognosis
- bone regeneration
- transcription factor
- copy number
- induced apoptosis
- spinal cord
- deep learning
- genome wide analysis
- minimally invasive
- binding protein
- convolutional neural network
- epithelial mesenchymal transition
- gene expression
- long non coding rna
- neuropathic pain
- machine learning
- working memory
- bone marrow
- transcranial magnetic stimulation
- pregnant women
- cell proliferation
- cell death
- cell cycle arrest
- bioinformatics analysis