A method to find longevity-selected positions in the mammalian proteome

Jeremy Semeiks, Nick V. Grishin

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Evolutionary theory suggests that the force of natural selection decreases with age. To explore the extent to which this prediction directly affects protein structure and function, we used multiple regression to find longevity-selected positions, defined as the columns of a sequence alignment conserved in long-lived but not short-lived mammal species. We analyzed 7,590 orthologous protein families in 33 mammalian species, accounting for body mass, phylogeny, and species-specific mutation rate. Overall, we found that the number of longevity-selected positions in the mammalian proteome is much higher than would be expected by chance. Further, these positions are enriched in domains of several proteins that interact with one another in inflammation and other aging-related processes, as well as in organismal development. We present as an example the kinase domain of anti-Müllerian hormone type-2 receptor (AMHR2). AMHR2 inhibits ovarian follicle recruitment and growth, and a homology model of the kinase domain shows that its longevity-selected positions cluster near a SNP associated with delayed human menopause. Distinct from its canonical role in development, this region of AMHR2 may function to regulate the protein's activity in a lifespan-specific manner.

Original languageEnglish (US)
Article numbere38595
JournalPLoS One
Volume7
Issue number6
DOIs
StatePublished - Jun 11 2012

Fingerprint

Proteome
proteome
Hormones
hormones
Phosphotransferases
receptors
phosphotransferases (kinases)
Proteins
Ovarian Follicle
Sequence Alignment
Genetic Selection
Mutation Rate
Phylogeny
Menopause
menopause
Mammals
Single Nucleotide Polymorphism
proteins
ovarian follicles
sequence alignment

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

A method to find longevity-selected positions in the mammalian proteome. / Semeiks, Jeremy; Grishin, Nick V.

In: PLoS One, Vol. 7, No. 6, e38595, 11.06.2012.

Research output: Contribution to journalArticle

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