Evolution of Domain Content in Bacterial Genomes
Author Information
Author(s): Molina Nacho, van Nimwegen Erik
Primary Institution: Biozentrum, University of Basel, and Swiss Institute of Bioinformatics
Hypothesis
The scaling laws of domain occurrences in bacterial genomes can inform the evolutionary dynamics of gene content.
Conclusion
The study establishes a quantitative link between the scaling of domain numbers with genome size and the rates of domain additions and deletions during evolution.
Supporting Evidence
- The model predicts that the rate of domain additions and deletions is proportional to the number of domains currently in the genome.
- The study analyzed 630 bacterial genomes to derive scaling exponents for various functional categories.
- The findings support the hypothesis that evolutionary potentials are consistent across different bacterial lineages.
Takeaway
The number of different types of protein domains in bacteria grows in a predictable way as their genomes get larger, and this helps us understand how bacteria evolve.
Methodology
The study analyzed the domain content of 93 pairs of closely-related bacterial genomes to derive scaling laws and evolutionary models.
Limitations
The study may not account for all factors influencing domain content evolution, such as environmental influences or specific lineage traits.
Digital Object Identifier (DOI)
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