Genomics, Proteomics & Bioinformatics (Jun 2023)

CNEReg Interprets Ruminant-specific Conserved Non-coding Elements by Developmental Gene Regulatory Network

  • Xiangyu Pan,
  • Zhaoxia Ma,
  • Xinqi Sun,
  • Hui Li,
  • Tingting Zhang,
  • Chen Zhao,
  • Nini Wang,
  • Rasmus Heller,
  • Wing Hung Wong,
  • Wen Wang,
  • Yu Jiang,
  • Yong Wang

Journal volume & issue
Vol. 21, no. 3
pp. 632 – 648

Abstract

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The genetic information coded in DNA leads to trait innovation via a gene regulatory network (GRN) in development. Here, we developed a conserved non-coding element interpretation method to integrate multi-omics data into gene regulatory network (CNEReg) to investigate the ruminant multi-chambered stomach innovation. We generated paired expression and chromatin accessibility data during rumen and esophagus development in sheep, and revealed 1601 active ruminant-specific conserved non-coding elements (active-RSCNEs). To interpret the function of these active-RSCNEs, we defined toolkit transcription factors (TTFs) and modeled their regulation on rumen-specific genes via batteries of active-RSCNEs during development. Our developmental GRN revealed 18 TTFs and 313 active-RSCNEs regulating 7 rumen functional modules. Notably, 6 TTFs (OTX1, SOX21, HOXC8, SOX2, TP63, and PPARG), as well as 16 active-RSCNEs, functionally distinguished the rumen from the esophagus. Our study provides a systematic approach to understanding how gene regulation evolves and shapes complex traits by putting evo-devo concepts into practice with developmental multi-omics data.

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