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Gene Duplicability-Connectivity-Complexity across Organisms and a Neutral Evolutionary Explanation

Overview of attention for article published in PLOS ONE, September 2012
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Title
Gene Duplicability-Connectivity-Complexity across Organisms and a Neutral Evolutionary Explanation
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044491
Pubmed ID
Authors

Yun Zhu, Peng Du, Luay Nakhleh

Abstract

Gene duplication has long been acknowledged by biologists as a major evolutionary force shaping genomic architectures and characteristics across the Tree of Life. Major research has been conducting on elucidating the fate of duplicated genes in a variety of organisms, as well as factors that affect a gene's duplicability--that is, the tendency of certain genes to retain more duplicates than others. In particular, two studies have looked at the correlation between gene duplicability and its degree in a protein-protein interaction network in yeast, mouse, and human, and another has looked at the correlation between gene duplicability and its complexity (length, number of domains, etc.) in yeast. In this paper, we extend these studies to six species, and two trends emerge. There is an increase in the duplicability-connectivity correlation that agrees with the increase in the genome size as well as the phylogenetic relationship of the species. Further, the duplicability-complexity correlation seems to be constant across the species. We argue that the observed correlations can be explained by neutral evolutionary forces acting on the genomic regions containing the genes. For the duplicability-connectivity correlation, we show through simulations that an increasing trend can be obtained by adjusting parameters to approximate genomic characteristics of the respective species. Our results call for more research into factors, adaptive and non-adaptive alike, that determine a gene's duplicability.

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Korea, Republic of 1 3%
United Kingdom 1 3%
Saudi Arabia 1 3%
Canada 1 3%
Spain 1 3%
Argentina 1 3%
Unknown 30 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Researcher 8 21%
Professor > Associate Professor 6 16%
Student > Master 4 11%
Student > Bachelor 3 8%
Other 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 58%
Biochemistry, Genetics and Molecular Biology 8 21%
Engineering 3 8%
Computer Science 2 5%
Linguistics 1 3%
Other 2 5%