Girish, A. | bioRxiv Science

bioRxiv2026

Life-cycle trajectory inference links temperature-gated progenitors to reproductive fate

Temperature shapes reproductive strategies across animals, yet how individuals switch between sexual and asexual reproduction remains unknown. We establish the planarian Phagocata morgani as a model for temperature-dependent reproductive plasticity and adapt multiplexed single-cell transcriptomics to profile >1 million nuclei from >300 animals across body sizes and temperatures. Leveraging individual variation in cell composition, we reconstruct an organism-wide trajectory that bifurcates toward alternative reproductive fates. Temperature extremes constrain worms to one fate, whereas intermediate conditions permit probabilistic commitment to either. At the bifurcation, temperature gates a stem cell pool: warmth suppresses differentiation and promotes progenitor accumulation, whereas cold transcriptionally activates this pool for de novo sexual organogenesis. These findings reveal how environmental inputs act on stem cells to couple body size, temperature, and reproductive fate.

Developmental Biology↗

bioRxiv2023

Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks

Biological networks driving cell-fate decisions involve complex interactions, but they often give rise to only a few phenotypes, thus exhibiting low-dimensional dynamics. The network design principles that govern such cell-fate canalization remain unclear. Here, we investigate networks across diverse biological contexts- Epithelial-Mesenchymal Transition, Small Cell Lung Cancer, and Gonadal cell-fate determination - to reveal that the presence of two mutually antagonistic, well-coordinated teams of nodes leads to low-dimensional phenotypic space such that the first principal component (PC1) axis can capture most of the variance. Further analysis of artificial team-based networks and random counterparts of biological networks reveals that the principal component decomposition is determined by the team strength within these networks, demonstrating how the underlying network structure governs PC1 variance. The presence of low dimensionality in corresponding transcriptomic data confirms the applicability of our observations. We propose that team-based topology in biological networks are critical for generating a cell-fate canalization landscape.

systems biology↗