Tracing Evolution of Protein Architecture in Metabolic Networks
Author Information
Author(s): Kim Hee Shin, Mittenthal Jay E, Caetano-Anollés Gustavo
Primary Institution: University of Illinois at Urbana-Champaign
Hypothesis
How do metabolic networks evolve and what are the evolutionary patterns embedded in their architecture?
Conclusion
The MANET database maps evolutionary relationships in metabolic networks, revealing patterns of enzymatic recruitment and the origins of amino acid metabolism.
Supporting Evidence
- The MANET database links protein structure to metabolic networks, enhancing our understanding of evolutionary patterns.
- Ancestries of enzymes were painted onto metabolic subnetworks, revealing evolutionary relationships.
- The study found that older protein folds are associated with a greater number of enzymatic functions.
Takeaway
Scientists created a database that shows how proteins in our bodies evolved over time, helping us understand how they work together in metabolism.
Methodology
The study used phylogenomic trees and integrated data from KEGG and SCOP databases to analyze protein folds and their evolutionary relationships.
Potential Biases
Potential biases in fold superfamily predictions could affect evolutionary tracings in networks.
Limitations
The model does not account for differences in evolutionary rates across lineages and assumes that folds are more prevalent the more ancient their origin.
Participant Demographics
The study analyzed genomes from Eucarya, Archaea, and Bacteria.
Statistical Information
P-Value
0.0553
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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