Tuning Transduction from Hidden Observables to Optimize Information Harvesting

Area of Science:

• Biophysics
• Information Theory
• Cell Biology

Background:

• Organisms process environmental information using limited observable data over finite time.
• Biological systems operate under constraints of energy budgets and incomplete information.

Purpose of the Study:

• To uncover how biological systems transduce information from inaccessible environmental sources using accessible degrees of freedom.
• To investigate optimal information transduction strategies under energy and time constraints.
• To apply the framework to red blood cells to understand mechanical stress and transduction efficiency.

Main Methods:

• Theoretical analysis of information transduction strategies.
• Modeling of biological systems with limited observables and energy budgets.
• Analysis of red blood cell membrane flickering data to infer transduction mechanisms.

Main Results:

• Optimal transduction strategies can enhance information harvesting beyond the ideal case of complete information.
• Finite-time observations can be exploited for efficient information transduction.
• Higher energy dissipation may be necessary for enhanced information harvesting.
• A link between mechanical stress and transduction efficiency in red blood cells was identified.

Conclusions:

• Biological systems employ sophisticated strategies to maximize information gain from limited sensory input.
• The developed framework provides novel insights into adaptive strategies in nonequilibrium biological systems.
• Understanding these transduction mechanisms is crucial for comprehending cellular responses to mechanical stimuli.