Adaptive loss of function accelerated the evolution of ancient and modern human cognition
Starr, A. L.; Cale, G. M.; Magtanong, L.; Palmer, M. E.; Fraser, H. B.
Show abstract
Methods to detect accelerated evolution have identified many genomic regions with unexpectedly rapid evolution in the human lineage--significantly more than in chimpanzees, our closest living relatives. However, these methods focus on accelerated sequence evolution of short non-coding regions, leaving open the questions of how to identify accelerated evolution of molecular function, as opposed to sequence, and whether accelerated evolution has shaped the human genome more broadly. Here, we introduce a new approach to detect accelerated evolution: Function-Aware Statistical Test for Evolutionary Rates (FASTER). In contrast to previous methods, FASTER can detect not only accelerated evolution of sequence, but also of predicted function, and can be applied to any set of genomic regions. Applying this method to humans and chimpanzees, we identified protein-coding, untranslated (UTR), and non-coding regions with accelerated evolution of function. Across all these genomic levels, we consistently found more acceleration in conserved sites in the human lineage compared to chimpanzee, many of which are predicted to reduce protein stability or chromatin accessibility. Multiple lines of evidence suggest this human-acceleration was driven by positive selection on brain development and cognition which has continued to shape human evolution even in the past several thousand years. Collectively, these results demonstrate the power of genome-wide scans for the evolution of predicted function and specifically suggest that an accelerated rate of reduction in function--including widespread decreases in cis-regulatory activity--may have been a major driver of both ancient and recent human evolution.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- A mutation rate model at the basepair resolution identifies the mutagenic effect of Polymerase III transcription 97%
- Prioritization of autoimmune disease-associated genetic variants that perturb regulatory element activity in T cells 97%
- Boundary stacking interactions enable cross-TAD enhancer-promoter communication during limb development 97%
Similar papers in this journal
- Genetic adaptation to pathogens and increased risk of inflammatory disorders in post-Neolithic Europe 97%
- Variant-resolved prediction of context-specific isoform variation with a graph-based attention model 97%
- Impact of disease-associated chromatin accessibility QTLs across immune cell types and contexts 97%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.