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Accounting for cis-regulatory constraint prioritizes genes likely to affect species-specific traits.

Alexander L StarrDavid GokhmanHunter B Fraser
Published in: Genome biology (2023)
Measuring allele-specific expression in interspecies hybrids is a powerful way to detect cis-regulatory changes underlying adaptation. However, it remains difficult to identify genes most likely to explain species-specific traits. Here, we outline a simple strategy that leverages population-scale allele-specific RNA-seq data to identify genes that show constrained cis-regulation within species yet show divergence between species. Applying this strategy to data from human-chimpanzee hybrid cortical organoids, we identify signatures of lineage-specific selection on genes related to saccharide metabolism, neurodegeneration, and primary cilia. We also highlight cis-regulatory divergence in CUX1 and EDNRB that may shape the trajectory of human brain development.
Keyphrases
  • genome wide
  • rna seq
  • single cell
  • transcription factor
  • endothelial cells
  • dna methylation
  • gene expression
  • electronic health record
  • big data
  • deep learning
  • artificial intelligence