{
  "id": 17928286,
  "title": "Probing bacterial fitness in virtual chemostats",
  "url": "https://urgent.news/2026/11/02/probing-bacterial-fitness-in-virtual-chemostats",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-02T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.31.763286v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The growth rate of a bacterial population is a fundamental quantity in microbiology, but hard to predict from mechanistic single-cell models. Simulating exponentially growing cell populations is computationally infeasible, and single-lineage estimates are biased as they do not account for phenotypic selection between cells. We present computational algorithms to efficiently estimate growth rates…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}