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Adaptive Evolution of the FADS Gene Cluster within Africa

Overview of attention for article published in PLOS ONE, September 2012
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Title
Adaptive Evolution of the FADS Gene Cluster within Africa
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044926
Pubmed ID
Authors

Rasika A. Mathias, Wenqing Fu, Joshua M. Akey, Hannah C. Ainsworth, Dara G. Torgerson, Ingo Ruczinski, Susan Sergeant, Kathleen C. Barnes, Floyd H. Chilton

Abstract

Long chain polyunsaturated fatty acids (LC-PUFAs) are essential for brain structure, development, and function, and adequate dietary quantities of LC-PUFAs are thought to have been necessary for both brain expansion and the increase in brain complexity observed during modern human evolution. Previous studies conducted in largely European populations suggest that humans have limited capacity to synthesize brain LC-PUFAs such as docosahexaenoic acid (DHA) from plant-based medium chain (MC) PUFAs due to limited desaturase activity. Population-based differences in LC-PUFA levels and their product-to-substrate ratios can, in part, be explained by polymorphisms in the fatty acid desaturase (FADS) gene cluster, which have been associated with increased conversion of MC-PUFAs to LC-PUFAs. Here, we show evidence that these high efficiency converter alleles in the FADS gene cluster were likely driven to near fixation in African populations by positive selection ∼85 kya. We hypothesize that selection at FADS variants, which increase LC-PUFA synthesis from plant-based MC-PUFAs, played an important role in allowing African populations obligatorily tethered to marine sources for LC-PUFAs in isolated geographic regions, to rapidly expand throughout the African continent 60-80 kya.

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Geographical breakdown

Country Count As %
United States 4 3%
Germany 1 <1%
Ireland 1 <1%
Italy 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Qatar 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 133 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Researcher 26 18%
Student > Bachelor 21 14%
Student > Master 15 10%
Professor 9 6%
Other 22 15%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 32%
Biochemistry, Genetics and Molecular Biology 27 19%
Medicine and Dentistry 14 10%
Social Sciences 6 4%
Immunology and Microbiology 4 3%
Other 28 19%
Unknown 19 13%