Exceptional evolutionary divergence of human muscle and brain metabolomes parallels human cognitive and physical uniqueness

Katarzyna Bozek*, Yuning Wei, Zheng Yan, Xiling Liu, Jieyi Xiong, Masahiro Sugimoto, Masaru Tomita, Svante Paeaebo, Raik Pieszek, Chet C. Sherwood, Patrick R. Hof, John J. Ely, Dirk Steinhauser, Lothar Willmitzer, Jens Bangsbo, Ola Hansson, Josep Call, Patrick Giavalisco, Philipp Khaitovich

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

61 Citations (Scopus)

Abstract

Metabolite concentrations reflect the physiological states of tissues and cells. However, the role of metabolic changes in species evolution is currently unknown. Here, we present a study of metabolome evolution conducted in three brain regions and two non-neural tissues from humans, chimpanzees, macaque monkeys, and mice based on over 10,000 hydrophilic compounds. While chimpanzee, macaque, and mouse metabolomes diverge following the genetic distances among species, we detect remarkable acceleration of metabolome evolution in human prefrontal cortex and skeletal muscle affecting neural and energy metabolism pathways. These metabolic changes could not be attributed to environmental conditions and were confirmed against the expression of their corresponding enzymes. We further conducted muscle strength tests in humans, chimpanzees, and macaques. The results suggest that, while humans are characterized by superior cognition, their muscular performance might be markedly inferior to that of chimpanzees and macaque monkeys.

Original languageEnglish
Article numbere1001871
Number of pages14
JournalPLoS Biology
Volume12
Issue number5
DOIs
Publication statusPublished - 27 May 2014

Keywords

  • Mass-spectrometry
  • Pan-troglodytes
  • Chimpanzee
  • Metabolites
  • Strength
  • Homo

Fingerprint

Dive into the research topics of 'Exceptional evolutionary divergence of human muscle and brain metabolomes parallels human cognitive and physical uniqueness'. Together they form a unique fingerprint.

Cite this