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Coevolution Trumps Pleiotropy: Carbon Assimilation Traits Are Independent of Metabolic Network Structure in Budding Yeast

Overview of attention for article published in PLOS ONE, January 2013
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Title
Coevolution Trumps Pleiotropy: Carbon Assimilation Traits Are Independent of Metabolic Network Structure in Budding Yeast
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054403
Pubmed ID
Authors

Dana A. Opulente, Christopher M. Morales, Lucas B. Carey, Joshua S. Rest

Abstract

Phenotypic traits may be gained and lost together because of pleiotropy, the involvement of common genes and networks, or because of simultaneous selection for multiple traits across environments (multiple-trait coevolution). However, the extent to which network pleiotropy versus environmental coevolution shapes shared responses has not been addressed. To test these alternatives, we took advantage of the fact that the genus Saccharomyces has variation in habitat usage and diversity in the carbon sources that a given strain can metabolize. We examined patterns of gain and loss in carbon utilization traits across 488 strains of Saccharomyces to investigate whether the structure of metabolic pathways or selection pressure from common environments may have caused carbon utilization traits to be gained and lost together. While most carbon sources were gained and lost independently of each other, we found four clusters that exhibit non-random patterns of gain and loss across strains. Contrary to the network pleiotropy hypothesis, we did not find that these patterns are explained by the structure of metabolic pathways or shared enzymes. Consistent with the hypothesis that common environments shape suites of phenotypes, we found that the environment a strain was isolated from partially predicts the carbon sources it can assimilate.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Portugal 1 2%
Netherlands 1 2%
Singapore 1 2%
Saudi Arabia 1 2%
Mexico 1 2%
Iran, Islamic Republic of 1 2%
Unknown 37 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 7 16%
Student > Doctoral Student 6 13%
Professor > Associate Professor 4 9%
Professor 2 4%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 49%
Biochemistry, Genetics and Molecular Biology 6 13%
Environmental Science 4 9%
Computer Science 3 7%
Medicine and Dentistry 2 4%
Other 1 2%
Unknown 7 16%