The Role of the Zebrafish Nodal-related Genes Squint and Cyclops in Patterning of Mesendoderm
Overview
Affiliations
Nodal signals, a subclass of the TGFbeta superfamily of secreted factors, induce formation of mesoderm and endoderm in vertebrate embryos. We have examined the possible dorsoventral and animal-vegetal patterning roles for Nodal signals by using mutations in two zebrafish nodal-related genes, squint and cyclops, to manipulate genetically the levels and timing of Nodal activity. squint mutants lack dorsal mesendodermal gene expression at the late blastula stage, and fate mapping and gene expression studies in sqt(-/-); cyc(+/+) and sqt(-/-); cyc(+/-) mutants show that some dorsal marginal cells inappropriately form hindbrain and spinal cord instead of dorsal mesendodermal derivatives. The effects on ventrolateral mesendoderm are less severe, although the endoderm is reduced and muscle precursors are located nearer to the margin than in wild type. Our results support a role for Nodal signals in patterning the mesendoderm along the animal-vegetal axis and indicate that dorsal and ventrolateral mesoderm require different levels of squint and cyclops function. Dorsal marginal cells were not transformed toward more lateral fates in either sqt(-/-); cyc(+/-) or sqt(-/-); cyc(+/+) embryos, arguing against a role for the graded action of Nodal signals in dorsoventral patterning of the mesendoderm. Differential regulation of the cyclops gene in these cells contributes to the different requirements for nodal-related gene function in these cells. Dorsal expression of cyclops requires Nodal-dependent autoregulation, whereas other factors induce cyclops expression in ventrolateral cells. In addition, the differential timing of dorsal mesendoderm induction in squint and cyclops mutants suggests that dorsal marginal cells can respond to Nodal signals at stages ranging from the mid-blastula through the mid-gastrula.
Optogenetic control of Nodal signaling patterns.
McNamara H, Jia B, Guyer A, Parot V, Dobbs C, Schier A bioRxiv. 2024; .
PMID: 38645239 PMC: 11030342. DOI: 10.1101/2024.04.11.588875.
Uncovering developmental time and tempo using deep learning.
Toulany N, Morales-Navarrete H, capek D, Grathwohl J, Unalan M, Muller P Nat Methods. 2023; 20(12):2000-2010.
PMID: 37996754 PMC: 10703695. DOI: 10.1038/s41592-023-02083-8.
Context-dependent TGFβ family signalling in cell fate regulation.
Richardson L, Wilcockson S, Guglielmi L, Hill C Nat Rev Mol Cell Biol. 2023; 24(12):876-894.
PMID: 37596501 DOI: 10.1038/s41580-023-00638-3.
EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways.
capek D, Safroshkin M, Morales-Navarrete H, Toulany N, Arutyunov G, Kurzbach A Nat Methods. 2023; 20(6):815-823.
PMID: 37156842 PMC: 10250202. DOI: 10.1038/s41592-023-01873-4.
Pokhrel N, Genin O, Sela-Donenfeld D, Cinnamon Y Front Physiol. 2023; 13:960061.
PMID: 36589431 PMC: 9800875. DOI: 10.3389/fphys.2022.960061.