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Phylogenomics of the olive tree (Olea europaea) reveals the relative contribution of ancient allo- and autopolyploidization events

Overview of attention for article published in BMC Biology, January 2018
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Title
Phylogenomics of the olive tree (Olea europaea) reveals the relative contribution of ancient allo- and autopolyploidization events
Published in
BMC Biology, January 2018
DOI 10.1186/s12915-018-0482-y
Pubmed ID
Authors

Irene Julca, Marina Marcet-Houben, Pablo Vargas, Toni Gabaldón

Abstract

Polyploidization is one of the major evolutionary processes that shape eukaryotic genomes, being particularly common in plants. Polyploids can arise through direct genome doubling within a species (autopolyploidization) or through the merging of genomes from distinct species after hybridization (allopolyploidization). The relative contribution of both mechanisms in plant evolution is debated. Here we used phylogenomics to dissect the tempo and mode of duplications in the genome of the olive tree (Olea europaea), one of the first domesticated Mediterranean fruit trees. Our results depict a complex scenario involving at least three past polyploidization events, of which two-at the bases of the family Oleaceae and the tribe Oleeae, respectively-are likely to be the result of ancient allopolyploidization. A more recent polyploidization involves specifically the olive tree and relatives. Our results show the power of phylogenomics to distinguish between allo- and auto polyploidization events and clarify the contributions of duplications in the evolutionary history of the olive tree.

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Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 25%
Student > Master 13 18%
Student > Ph. D. Student 10 14%
Student > Doctoral Student 6 8%
Student > Postgraduate 4 5%
Other 7 10%
Unknown 15 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 42%
Biochemistry, Genetics and Molecular Biology 16 22%
Environmental Science 4 5%
Earth and Planetary Sciences 2 3%
Engineering 2 3%
Other 3 4%
Unknown 15 21%