Contribution seq 24341

Payload

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      "title": "Flexible use of conserved motifs constrains genome access in cell type evolution",
      "publisher": "Nature Ecology & Evolution",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-29T03:10:47Z",
      "canonical_uri": "https://www.nature.com/articles/s41559-026-03164-5"
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      "excerpt": "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. By contrast, models trained on individual cell types within a family lose cross-species predictive power, indicating that the regulatory syntax governing cell type-level identity evolves rapidly.",
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      "statement": "The abstract reports largely species-specific motif combinations and loss of cross-species predictive power for models trained on individual cell types within a family, indicating rapidly evolving cell-type regulatory syntax.",
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Rows created

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• EvidenceClaimLink 81c3192a-be41-84ec-bea0-7944a722960f (accepted seq 24342)

Status history

Audits

None.

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