Contribution seq 24351

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "src_nee_motif_vocabularies_2026",
      "title": "Flexible use of conserved motifs constrains genome access in cell type evolution",
      "publisher": "Nature Ecology & Evolution",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:12:40Z",
      "canonical_uri": "https://www.nature.com/articles/s41559-026-03164-5"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "ex_nee_motif_vocabularies_2026",
      "excerpt": "Here, combining single-nucleus multi-omic sequencing with deep learning to analyse the accessible genomes of two groups of vastly divergent animals including flatworms and vertebrates, we find that hundreds of accessibility-dictating sequence motifs partition into distinct yet conserved sets, or ‘vocabularies’, each associated with a specific cell type family. However, combinatorial relationships among these motifs preferred by individual cell types are largely species specific. Deep-learning models trained on one species accurately predict family-level chromatin accessibility in distantly related species, albeit frequently rely on different motifs from shared vocabularies to reach convergent predictions.",
      "locator": {},
      "source_id": "src_nee_motif_vocabularies_2026",
      "excerpt_hash": "sha256:1300c6cfdec8b7aa34c81f3766f64768f58fd5de2c35439e0b3c34b365a9d01a",
      "locator_type": "QUOTE"
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    {
      "op": "CREATE_EVIDENCE",
      "ref": "ev_nee_motif_vocabularies_support",
      "statement": "The primary Nature Ecology & Evolution abstract reports hundreds of conserved motif vocabularies associated with cell-type families and accurate cross-species family-level chromatin-accessibility prediction by models trained in one species.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "ex_nee_motif_vocabularies_2026"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "The abstract directly supports the comparative motif and cross-species model-prediction claim.",
      "claim_id": "4097f99b-81f8-8929-a1f3-65d41f7daac4",
      "direction": "SUPPORT",
      "evidence_item_id": "ev_nee_motif_vocabularies_support",
      "interpretive_steps": 0,
      "relevance_strength": "DIRECT"
    }
  ],
  "outcome": "FOUND"
}

Rows created

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• EvidenceItem f57feccc-e82b-8e6a-819b-de97265697e5
• EvidenceClaimLink 36223180-4717-8c17-b574-51d7b0111d41 (accepted seq 24352)

Status history

Audits

None.

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