DAF-16 is a conserved transcription factor that regulates expression of genes involved in lifespan extension and stress response in C. elegans. It is known that environmental factors, such as dietary restriction and oxidative stress, affect the spatiotemporal activity of DAF-16. We aim to elucidate how the lifelong molecular activity of
daf-16, driven by environmental stressors, determines lifespan and healthspan in C. elegans. Using the CRISPR/Cas9 genome engineering system, we targeted the endogenous loci of
daf-16, and introduced a GFP coding sequence before its stop codon. We used this generated strain to characterize spatial- and temporal-specific changes in DAF-16 activity. This was achieved by quantitative analysis of gene expression by fluorescent imaging performed in vivo. We quantified nuclear and cytoplasmic DAF-16 in a tissue-specific manner. Using a machine-learning algorithm based on semantic segmentation, we tracked expression of
daf-16 under various dietary restriction regimes. This imaging processing approach is necessary to evaluate the complex patterns of DAF-16 migration at the tissue and cellular levels. We observed an increased migration of DAF-16 to cell nuclei in tissues (intestine, hypodermis, muscles, neurons, and gonad) of animals under conditions of reduced food intake. This pattern increased the longer the animals were under this condition, but reaching a peak after 6-8 hours. Moreover, under repeated and intermittent exposure of the same C. elegans population to dietary restriction, we identified a decreasing activity of DAF-16 in subsequent days. We seek to characterize lifespan in C. elegans as result of these quantifiable metrics, such as DAF-16 activity and the combination of environmental stressors (food concentration, oxidative stressors, heat-shock, etc.) in a temporal-dependent way.