Related Experiment Videos
Stochastic gene expression: density of defects frozen into permanent Turing patterns
1Theory Division T-6, MS-B288, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
Summary
Defects in biological Turing patterns, crucial for development, are stabilized by gene expression self-locking. Pattern defects are permanent, like lifelong fingerprints, and can be minimized by controlling activator spread velocity during gene activation.
Area of Science:
- Developmental biology
- Systems biology
- Biophysics
Background:
- Biological Turing patterns are fundamental to morphogenesis.
- Pattern formation can be disrupted by defects, impacting development.
- The rate of pattern initiation influences defect density.
Purpose of the Study:
- To estimate the density of defects in biological Turing patterns initiated at a finite rate.
- To understand the relationship between transition rate and defect formation.
- To identify methods for achieving defect-free Turing patterns.
Main Methods:
- Analysis of defect density in biological Turing patterns.
- Modeling the effect of gene expression self-locking on pattern stability.
- Investigating the scaling of defect density with transition rate.
- Exploring strategies for defect-free pattern formation through controlled gene activation.
Main Results:
- Defect density scales with the fourth root of the transition rate, indicating a weak dependence.
- Self-locking of gene expression stabilizes patterns and their defects.
- Slow activator spread velocity below a threshold can yield defect-free patterns.
- Defects act as permanent records of the pattern transition, influencing lifelong characteristics.
Conclusions:
- Defect formation is an intrinsic aspect of finite-rate biological Turing pattern initiation.
- Slowing the transition rate alone is insufficient to eliminate defects during morphogenesis.
- Spatially inhomogeneous gene activation, specifically controlling activator spread velocity, offers a viable strategy for generating defect-free patterns.