# Project A.18

- PhD student: Shikhara Bhat
- Supervisor: Hanna Kokko
- Research Group

**I am working on building formal mathematical models of the developmental theory of ageing to attempt to develop a general theoretical framework to understand the evolution of ageing.**

Ageing, or senescence, is the phenomenon of mortality rates of organisms increasing through the course of their lives. Despite senescence having obvious negative fitness consequences (such as death), it is nevertheless a fact of life that most organisms age. Why doesn't natural selection lead to ever-increasing lifespans? The 'developmental theory of aging' (DTA) suggests that aging evolves due to evolution prioritizing optimization of early-life fitness at the cost of fitness later in life (For example, see Lemaître et al. 2024). In other words, if the optimal value of a trait varies with age, the DTA posits that evolution favors optimality early in life even if this comes with a cost later in life. Aging in this framework is thus a consequence of failure to adapt to a changing optimum leading to either hypofunction or hyperfunction in gene regulation, which in turn leads to sub-optimal, and eventually catastrophic, organismal function. I am using tools from mathematical optimization theory and the calculus of variations to formalize this idea and examine when age-dependent optimal trait expression can lead to senescence. For instance, studies of aging routinely assume that selection is weaker later in life (the famous 'selection shadow'). Is a selection shadow really necessary for aging as envivionsed by the DTA? If so, how strong must this shadow be? If not, can aging evolve simply due to limited plasticity in trait expression?