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Protein Amino Acid Composition: A Genomic Signature of Encephalization in Mammals

Overview of attention for article published in PLOS ONE, November 2011
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Title
Protein Amino Acid Composition: A Genomic Signature of Encephalization in Mammals
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027261
Pubmed ID
Authors

Humberto Gutierrez, Atahualpa Castillo, Jimena Monzon, Araxi O. Urrutia

Abstract

Large brains relative to body size represent an evolutionarily costly adaptation as they are metabolically expensive and demand substantial amounts of time to reach structural and functional maturity thereby exacerbating offspring mortality while delaying reproductive age. In spite of its cost and adaptive impact, no genomic features linked to brain evolution have been found. By conducting a genome-wide analysis in all 37 fully sequenced mammalian genomes, we show that encephalization is significantly correlated with overall protein amino acid composition. This correlation is not a by-product of changes in nucleotide content, lifespan, body size, absolute brain size or genome size; is independent of phylogenetic effects; and is not restricted to brain expressed genes. This is the first report of a relationship between this fundamental and complex trait and changes in protein AA usage, possibly reflecting the high selective demands imposed by the process of encephalization across mammalian lineages.

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The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Israel 1 5%
Peru 1 5%
Japan 1 5%
United States 1 5%
Unknown 16 76%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Researcher 4 19%
Student > Master 3 14%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 3 14%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 57%
Biochemistry, Genetics and Molecular Biology 3 14%
Computer Science 1 5%
Psychology 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 2 10%