{
  "annotation_id": "68df6212-b43c-42dc-86f9-f444eb6d276d",
  "date_created": "2026-03-02T18:00:32.496000Z",
  "date_modified": "2026-03-02T18:00:32.496000Z",
  "file_hash": "0bcc05659ef6c755cd100efca5e8054253c88a53fedf92a605ca02638cc271c7",
  "private": false,
  "record": {
    "abstract": "In this paper we study the evolution of the mutation rate for simple\norganisms in dynamic environments. A model with multiple fitness coding loci\ntracking a moving fitness peak is developed and an analytical expression for\nthe optimal mutation rate is derived. Surprisingly it turns out that the\noptimal mutation rate per genome is approximately independent of genome length,\nsomething that also has been observed in nature. Simulations confirm the\ntheoretical predictions. We also suggest an explanation for the difference in\nmutation frequency between RNA and DNA based organisms.",
    "arxiv_id": "physics/0004042",
    "authors": [
      "Martin Nilsson",
      "Nigel Snoad"
    ],
    "categories": [
      "physics.bio-ph",
      "q-bio"
    ],
    "title": "Optimal Mutation Rates in Dynamic Environments",
    "url": "https://arxiv.org/abs/physics/0004042"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e09d5ee4-8f18-479e-bea5-c39efe84ecc8",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}