Conserved and divergent gene regulatory programs of the mammalian neocortex

Nathan R. Zemke, Ethan J. Armand, Wenliang Wang, Seoyeon Lee, Jingtian Zhou, Yang Eric Li, Hanqing Liu, Wei Tian, Joseph R. Nery, Rosa G. Castanon, Anna Bartlett, Julia K. Osteen, Daofeng Li, Xiaoyu Zhuo, Vincent Xu, Lei Chang, Keyi Dong, Hannah S. Indralingam, Jonathan A. Rink, Yang XieMichael Miller, Fenna M. Krienen, Qiangge Zhang, Naz Taskin, Jonathan Ting, Guoping Feng, Steven A. McCarroll, Edward M. Callaway, Ting Wang, Ed S. Lein, M. Margarita Behrens, Joseph R. Ecker, Bing Ren

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Divergence of cis-regulatory elements drives species-specific traits 1, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains unclear. Here we investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset and mouse using single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome and chromosomal conformation profiles from a total of over 200,000 cells. From these data, we show evidence that divergence of transcription factor expression corresponds to species-specific epigenome landscapes. We find that conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome. Transposable elements contribute to nearly 80% of the human-specific candidate cis-regulatory elements in cortical cells. Through machine learning, we develop sequence-based predictors of candidate cis-regulatory elements in different species and demonstrate that the genomic regulatory syntax is highly preserved from rodents to primates. Finally, we show that epigenetic conservation combined with sequence similarity helps to uncover functional cis-regulatory elements and enhances our ability to interpret genetic variants contributing to neurological disease and traits.

Original languageEnglish (US)
Pages (from-to)390-402
Number of pages13
JournalNature
Volume624
Issue number7991
DOIs
StatePublished - Dec 14 2023

All Science Journal Classification (ASJC) codes

  • General

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