{
  "abstract": "As fungal pathogens pose mounting global challenges, decoding their complex adaptive traits remains a paramount academic priority. While previous studies have provided foundational insights into protein-coding variations and orphan genes, fully understanding such traits requires exploring upstream non-coding regulatory networks. Here, we present a high-resolution, rRNA-depleted temporal transcriptomic framework across reciprocal dimorphic transitions to decode how non-coding network rewiring involving in fungal adaption. Integrating temporal profiling with comparative genomics reveals that early ATP-related metabolic reprogramming and melanin biosynthesis direct morphogenesis via species-specific motifs. Further temporal network modeling uncovers a functional stratification where long non-coding RNAs orchestrate early stress responses, whereas circular RNAs drive morphological conversion. Functional validation confirms that hub non-coding transcripts mediate stress adaptation, with cross-species perturbation in the closest non-pathogen species altering phenotypic outcomes. Together, these findings demonstrate how system-level non-coding dynamics underlie the evolutionary innovation of thermal dimorphism, establishing a robust paradigm for understanding specialized fungal pathogenicity and evolution adaption.",
  "abstract_shown": true,
  "affiliations": [
    "Peking University"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "name": "X. Hu"
    },
    {
      "name": "J. Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "E. Yang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3mkdq76ggjake.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.29.755541",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.29.755541v1.full",
  "id": "3mkdq76ggjake",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.29.755541v1",
  "language": null,
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "microbiology"
    ],
    [
      "openalex",
      "1312|Fungal and yeast genetics research"
    ]
  ],
  "openalex": "W7215127262",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.29.755541v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-29",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3mkdq76ggjake.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:44Z",
      "native_id": "10.64898/2026.09.29.755541",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.29.755541v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:microbiology",
      "subfield": "microbiology"
    }
  ],
  "title": "Non-coding RNAs drive transcriptional network rewiring underlying thermal dimorphism in a human pathogenic fungus",
  "title_text": "Non-coding RNAs drive transcriptional network rewiring underlying thermal dimorphism in a human pathogenic fungus",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:44Z",
  "url": "https://research.draconitic.com/paper/3mkdq76ggjake",
  "venue": "bioRxiv",
  "versions": []
}