{
  "id": 18122894,
  "title": "Tn-Seq-based identification of genes that play a role in antimicrobial tolerance of Pseudomonas aeruginosa aggregates",
  "url": "https://urgent.news/2026/11/04/tn-seq-based-identification-of-genes-that-play-a-role-in",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-04T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.03.763911v1?rss=1"
  },
  "original_language": "en",
  "account": "Microbial biofilms and aggregates of microbes present challenges in treating persistent infections due to their resistance to antibiotics. The underlying mechanisms of this antibiotic tolerance in biofilms remain largely unclear, and the significance of previously identified factors is yet to be determined. A novel Tn-Seq-based workflow has been developed, allowing for the simultaneous evaluation of the relative antibiotic tolerance of thousands of individual clonal bacterial aggregates, each originating from a single transposon mutant. Through this genome-wide Tn-Seq analysis approach, several factors and pathways involved in the antimicrobial tolerance of Pseudomonas aeruginosa aggregates were identified. The majority of these factors influence aggregate-associated tolerance to specific antibiotics, while a few are found to play a role in aggregate-associated tolerance irrespective of the antibiotic class. This methodology offers a framework that can be applied to investigate aggregate-associated tolerance in other bacterial species and in response to various antimicrobial agents and stressors.",
  "summary": "Microbial biofilms, whether surface-associated or in the form of aggregated microbes, cause a variety of persistent infections due to their inherent tolerance to antibiotic treatment. Current knowledge of the mechanistic basis of biofilm-associated antibiotic tolerance is fragmented, and the relative importance of previously identified factors remains unknown. We developed a Tn-Seq-based workflow…",
  "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."
}