Hypoxia delays steroid-induced developmental maturation in Drosophila by suppressing EGF signaling.
Turingan, M. S.; Li, T.; Wright, J.; Grewal, S. S.
Show abstract
Animals often grow and develop in unpredictable environments where factors like food availability, temperature, and oxygen levels can fluctuate dramatically. To ensure proper sexual maturation into adulthood, juvenile animals need to adapt their growth and developmental rates to these fluctuating environmental conditions. Failure to do so can result in impaired maturation and incorrect body size. Here we describe a mechanism by which Drosophila larvae adapt their development in low oxygen (hypoxia). During normal development, larvae grow and increase in mass until they reach critical weight (CW), after which point a neuroendocrine circuit triggers the production of the steroid hormone ecdysone from the prothoracic gland (PG), which promotes maturation to the pupal stage. However, when raised in hypoxia (5% oxygen), larvae slow their growth and delay their maturation to the pupal stage. We find that, although hypoxia delays the attainment of CW, the maturation delay occurs mainly because of hypoxia acting late in development to suppress ecdysone production. This suppression operates through a distinct mechanism from nutrient deprivation, occurs independently of HIF-1 alpha and does not involve modulation of PTTH, the main neuropeptide that initiates ecdysone production in the PG. Instead, we find that hypoxia lowers the expression of the EGF ligand, spitz, and that the delay in maturation occurs due to reduced EGFR/ERK signaling in the PG. Our study sheds light on how animals can adjust their development rate in response to changing oxygen levels in their environment. Given that hypoxia is a feature of both normal physiology and many diseases, our findings have important implications for understanding how low oxygen levels may impact animal development in both normal and pathological situations.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Inter-organ Wingless/Ror/Akt signaling regulates nutrient-dependent hyperarborization of somatosensory neurons 96%
- Nuclear Hormone Receptor NHR-49 controls a HIF-1-independent hypoxia adaptation pathway in Caenorhabditis elegans 96%
- The embryonic role of juvenile hormone in the firebrat, Thermobia domestica, reveals its function before its involvement in metamorphosis 96%
Similar papers in this journal
- A life cycle alteration can correct molting defects in Caenorhabditis elegans 95%
- The collagen-binding epitopes of Drosophila SPARC are essential for survival and collagen IV distribution and assembly into basement membranes 95%
- Estrogen-Related Receptor is Required in Adult Drosophila Females for Germline Stem Cell Maintenance 95%
Similar papers in this journal
- NHR-23 activity is necessary for C. elegans developmental progression and apical extracellular matrix structure and function 96%
- The histone demethylase KDM5 controls developmental timing in Drosophila by promoting prothoracic gland endocycles. 96%
- miR-184 modulates dilp8 to control developmental timing during normal growth conditions and in response to developmental perturbations 96%
Similar papers in this journal
- Osmolarity regulates C. elegans egg-laying behavior via parallel chemosensory and biophysical mechanisms 95%
- Early-life hypoxia alters adult physiology and reduces stress resistance and lifespan in Drosophila 95%
- Larval zebrafish maintain elevation with multisensory control of posture and locomotion 94%
Similar papers in this journal
- Nucleolar stress in Drosophila neuroblasts, a model for human ribosomopathies 96%
- Drp1-mediated mitochondrial fission regulates calcium and F-actin dynamics during wound healing 95%
- The Drosophila orthologue of the primary ciliary dyskinesia-associated gene, DNAAF3, is required for axonemal dynein assembly 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.