{
  "id": 3036225,
  "title": "Plant Bioengineering Atlas: A Knowledge Graph of Genes, DNA Constructs, and Plant Traits.",
  "url": "https://urgent.news/2026/08/24/plant-bioengineering-atlas-a-knowledge-graph-of-genes-dna-constructs",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-24T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.21.746270v1?rss=1"
  },
  "original_language": "en",
  "account": "The Plant Bioengineering Atlas is a comprehensive knowledge graph that organizes tens of thousands of genotype-to-phenotype relationships generated by plant bioengineering. This atlas, assembled using an AI-aided extraction pipeline, makes previously fragmented information accessible for computational use. It addresses the challenges of inconsistent descriptions of DNA constructs, host species, and traits, such as variable species names, omitted regulatory elements, and inconsistent gene symbols, which hinder data reuse and comparative analysis.\n\nDeveloped through a large language model parsing open-access primary research articles, the Atlas contains 14,358 curated records encompassing 6,998 distinct genes across 436 plant species. These records are traceable to their sources and were published between 2000 and 2026. The analysis of the corpus shows that experiments are heavily concentrated in a small group of model and crop species. Resistance to diseases and pathogens is the most frequently engineered trait class. Moreover, constitutive regulatory parts, particularly the CaMV 35S promoter and NOS terminator, remain prevalent.\n\nA notable issue identified is that two in five records omit one or both flanking regulatory elements. Only 23.4% of the records describe cassettes in which both regulatory elements resolve to named part classes, revealing a systematic reproducibility gap. The Plant Bioengineering Atlas organizes this data into a knowledge graph, linking genes, constructs, species, and traits. It is accessible via an interactive web portal and proposes an AI-compatible documentation standard for AI-ready reporting. This atlas sets the stage for data-driven hypothesis generation and AI-aided plant biodesign.",
  "summary": "Plant bioengineering has generated tens of thousands of genotype-to-phenotype relationships, but this knowledge remains fragmented across narrative literature and difficult to use computationally. Inconsistent descriptions of DNA constructs, host species, and traits, including variable species names, omitted regulatory elements, and inconsistent gene symbols, impede data reuse, comparative…",
  "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."
}