{
  "annotation_id": "4ee1c732-26a9-4913-9e7e-0b5dd7e29482",
  "date_created": "2026-03-02T18:01:32.296000Z",
  "date_modified": "2026-03-02T18:01:32.296000Z",
  "file_hash": "f9c99a9cbdafa277284d98699b47e9e0c486fc9738fea69b545bead0990c4cfd",
  "private": false,
  "record": {
    "abstract": "We study the evolution of recombination using a microscopic model developed\nwithin the frame of the theory of quantitative traits. Two components of\nfitness are considered: a static one that describes adaptation to environmental\nfactors not related to the population itself, and a dynamic one that accounts\nfor interactions between organisms e.g. competition. We focus on the dynamics\nof colonization of an empty niche. As competition is a function of the\npopulation, selection pressure rapidly changes in time. The simulations show\nthat both in the case of flat and steep static fitness landscapes,\nrecombination provides a high velocity of movement in the phenotypic space thus\nallowing recombinants to colonize the highest fitness regions earlier than non\nrecombinants that are often driven to extinction. The stabilizing effects of\ncompetition and assortativity are also discussed. Finally, the analysis of\nphase diagrams shows that competition is the key factor for the evolution of\nrecombination, while assortativity plays a significant role only in small\npopulations.",
    "arxiv_id": "q-bio/0408020",
    "authors": [
      "Franco Bagnoli",
      "Carlo Guardiani"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "doi": "10.1016/j.physa.2004.08.067",
    "journal_ref": "Physica A 347, 489-533 (2005)",
    "title": "A microscopic model of evolution of recombination",
    "url": "https://arxiv.org/abs/q-bio/0408020"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "cef77d24-7968-470e-8a81-71d7fc362577",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}