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Published on: April 28, 2016
From sequence to consequence and back
1Centre for Ecological and Evolutionary Synthesis, Department of Biology, University of Oslo, P.O. Box 1066, Blindern, N-0316 Oslo, Norway. stig.omholt@ntnu.no
A new mathematical framework can explain the genotype-phenotype relationship, encompassing both DNA sequence to organism traits and traits back to DNA. This approach offers deeper biological insights than statistical genetics alone.
Area of Science:
- Theoretical Biology
- Evolutionary Biology
- Systems Biology
Background:
- The genotype-phenotype relation is fundamental to understanding life.
- Current statistical genetics models have limitations in explaining causal biological mechanisms.
- Living systems exhibit self-transcendence beyond physical limits due to DNA's role.
Purpose of the Study:
- To propose a mathematically based explanatory structure for the genotype-phenotype relation.
- To integrate sequence-to-consequence and consequence-to-sequence phenomena within a unified framework.
- To highlight the potential of dynamic models for explaining genetic and evolutionary processes.
Main Methods:
- Developing dynamic models that causally link genotypes with phenotypic variation.
- Applying Rupert Riedl's theory on constrained morphospace to evolutionary phenomena.
- Conceptualizing mathematical formalisms for living systems' defining characteristics.
Main Results:
- Demonstrated that dynamic models provide superior explanations for genetic phenomena compared to statistical approaches.
- Showcased how systemic constraints limit reachable morphospace, impacting evolutionary trajectories.
- Established a foundation for mathematical conceptualization of the phenotypic consequence to sequence relation.
Conclusions:
- A mathematically rigorous approach to the genotype-phenotype relation is feasible and necessary.
- Dynamic models offer a more comprehensive understanding of genetic causality and evolution.
- There is a call for mathematicians to develop new formalisms for complex biological systems.
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