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The role of duplications in the evolution of genomes highlights the need for evolutionary-based approaches in comparative genomics

Overview of attention for article published in Biology Direct, February 2011
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Title
The role of duplications in the evolution of genomes highlights the need for evolutionary-based approaches in comparative genomics
Published in
Biology Direct, February 2011
DOI 10.1186/1745-6150-6-11
Pubmed ID
Authors

Anthony Levasseur, Pierre Pontarotti

Abstract

Understanding the evolutionary plasticity of the genome requires a global, comparative approach in which genetic events are considered both in a phylogenetic framework and with regard to population genetics and environmental variables. In the mechanisms that generate adaptive and non-adaptive changes in genomes, segmental duplications (duplication of individual genes or genomic regions) and polyploidization (whole genome duplications) are well-known driving forces. The probability of fixation and maintenance of duplicates depends on many variables, including population sizes and selection regimes experienced by the corresponding genes: a combination of stochastic and adaptive mechanisms has shaped all genomes. A survey of experimental work shows that the distinction made between fixation and maintenance of duplicates still needs to be conceptualized and mathematically modeled. Here we review the mechanisms that increase or decrease the probability of fixation or maintenance of duplicated genes, and examine the outcome of these events on the adaptation of the organisms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
France 2 1%
Brazil 2 1%
Germany 1 <1%
Italy 1 <1%
Norway 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Mexico 1 <1%
Other 2 1%
Unknown 144 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 25%
Researcher 36 23%
Student > Master 21 13%
Student > Bachelor 10 6%
Student > Doctoral Student 10 6%
Other 28 18%
Unknown 15 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 55%
Biochemistry, Genetics and Molecular Biology 36 23%
Medicine and Dentistry 3 2%
Immunology and Microbiology 2 1%
Chemistry 2 1%
Other 6 4%
Unknown 22 14%