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Dataset to find corresponding ages across the lifespan in humans and chimpanzees

Citation

Charvet, Christine (2021), Dataset to find corresponding ages across the lifespan in humans and chimpanzees, Dryad, Dataset, https://doi.org/10.5061/dryad.547d7wm7c

Abstract

How the unique capacities of human cognition arose in evolution is a question of enduring interest. It is still unclear which developmental programs are responsible for the emergence of the human brain. The inability to determine corresponding ages between humans and apes has hampered progress in detecting developmental programs leading to the emergence of the human brain. I harness temporal variation in anatomical, behavioral, and transcriptional variation to determine corresponding ages from fetal to postnatal development and aging, between humans and chimpanzees. This multi-dimensional approach results in 137 corresponding time points across the lifespan, from embryonic day 44 to ~55 years of age, in humans and their equivalent ages in chimpanzees. I used these data to test whether developmental programs, such as the timeline of prefrontal cortex (PFC) maturation, previously claimed to differ between humans and chimpanzees, do so once variation in developmental schedules is controlled for. I compared the maturation of frontal cortex projections from structural magnetic resonance (MR) scans and from temporal variation in the expression of genes used to track long-range projecting neurons (i.e., supragranular-enriched genes) in chimpanzees and humans. Contrary to what has been suggested, the timetable of PFC maturation is not unusually extended in humans. This dataset, which is the largest with which to determine corresponding ages across humans and chimpanzees, provides a rigorous approach to control for variation in developmental schedules and to identify developmental programs responsible for unique features of the human brain.  

Methods

Please use the table and script captions (the readme document) as well as the paper for an extended explanation of this dataset.

Funding

DE-INBRE, Award: P20GM103446

National Institute of General Medical Sciences, Award: 5P20GM103653

DE-INBRE, Award: P20GM103446