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Generalization of the Central Models of Evolutionary Biology in the (post)Genomic Era

Talkat Computational Theories of Evolution · 2014-03-17..03-21
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Comparative analysis of hundreds of microbial genomes using the ATGC database and the COUNT maximum‑likelihood birth‑death‑innovation model reveals a robust tripartite gene‑frequency landscape (core, shell, cloud), extreme rate variation across lineages, and very rapid genome flux—often thousands of gene family gains/losses per nucleotide‑substitution timescale. Horizontal transfer dominates duplication (horizontal transfer >> duplication), inferred supergenome sizes are typically an order of magnitude larger than single genomes (supergenome ~10× genome), and a conserved relative‑rate “universal pacemaker” fits the data better than a strict molecular clock.

AI-written summary · about

  1. 0:00Introduction to genomics
  2. 2:22Genome to p-genome transition
  3. 8:30Structure of the gene universe
  4. 14:27Computational modeling
  5. 20:06Genome dynamics and rates
  6. 34:43Flux and super-genome size
  7. 45:05Phylogeny and tree of life
  8. 51:20Universal pacemakers
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