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Determinants of adaptive evolution at the molecular level: the extended complexity hypothesis
1Bioinformatics Research Center, North Carolina State University, Raleigh, USA. stephane@statgen.ncsu.edu
Molecular Biology and Evolution
|October 16, 2004
Summary
Informational genes, crucial for transcription and translation, are less likely to transfer horizontally due to their complex, coevolving systems. This complexity also makes them less prone to adaptive evolution, influencing protein evolution rates.
Area of Science:
- Evolutionary Biology
- Genetics
- Molecular Biology
Background:
- The complexity hypothesis explains why informational genes are less frequently horizontally transferred than housekeeping genes.
- Informational genes are part of large, coevolving systems, making single-gene transfer unlikely.
Purpose of the Study:
- To extend the complexity hypothesis to explain the evolutionary modes of coding sequences.
- To investigate the relationship between gene complexity, connectivity, and adaptive evolution.
Main Methods:
- Analysis of 2,428 gene families and protein domains.
- Evaluation of gene ontology (localization, biological process, molecular function) and product connectivity.
Main Results:
- Genes with highly connected products, intracellular localization, and involvement in complex functions showed higher conservation.
- These complex genes were less likely to be under adaptive evolution compared to other gene products.
- Gene ontology and connectivity influence protein evolution rate and mode.
Conclusions:
- The extended complexity hypothesis provides a framework for understanding protein evolution.
- Gene complexity, connectivity, and functional integration significantly impact evolutionary trajectories.