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Adaptive Structural Variants Contributing to Human Brain Development Revealed by 1,026 Rhesus Macaque Genomes

GSE221928 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2024/04/23 Platform GPL28457
Summary
Clarifying structural variants (SV) profiles in nonhuman primates could provide insights into the genetic background underlying human-specific traits, but such resources are largely lacking. Here, we report the largest SV atlas generated to date from a population of 1,026 macaques, verified by genome assembly for one of them. This accurate, quantitative map indicates stronger purifying selection on inversions located in regulatory regions, suggesting a strategy for prioritizing those with the most important functions. We then identified 75 human-specific inversions and prioritized them. Notably, the top-ranked inversions have substantially shaped the transcriptome through their dual-effects of reconfiguring the ancestral genomic architecture and introducing regional mutation hotspots. As a proof-of-concept, the overexpression of APCDD1, located on one of these inversions and downregulated during human evolution, significantly accelerated neuronal maturation, while its depletion in mice delays the neuronal maturation and subsequently improved their cognitive ability. This study thus provides a valuable resource to explore human evolution and diseases,and broaden the understanding of the contribution of SVs in shaping the distinct features in human brain development.
Published in
Adaptive functions of structural variants in human brain development
Ding W, Li X, Zhang J et al. · Science advances 2024 · PMID 38579006 · doi:10.1126/sciadv.adl4600
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Direct links to NCBI, no account and no request form: the whole study as GSE221928_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA916866 and SRA study SRP415247. Searching any of these in the dataset finder brings you back here.

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