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Evidence of ectopic recombination and a repeat-induced point (RIP) mutation in the genome of Sclerotinia sclerotiorum, the agent responsible for white mold

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Title
Evidence of ectopic recombination and a repeat-induced point (RIP) mutation in the genome of Sclerotinia sclerotiorum, the agent responsible for white mold
Published in
Genetics and molecular biology, July 2016
DOI 10.1590/1678-4685-gmb-2015-0241
Pubmed ID
Authors

Goldfarb, Míriam, Santana, Mateus Ferreira, Salomão, Tânia Maria Fernandes, Queiroz, Marisa Vieira de, Barros, Everaldo Gonçalves de

Abstract

Two retrotransposons from the superfamilies Copia and Gypsy named as Copia-LTR_SS and Gypsy-LTR_SS, respectively, were identified in the genomic bank of Sclerotinia sclerotiorum. These transposable elements (TEs) contained direct and preserved long terminal repeats (LTR). Domains related to codified regions for gag protein, integrase, reverse transcriptase and RNAse H were identified in Copia-LTR_SS, whereas in Gypsy-LTR_SS only domains for gag, reverse transcriptase and RNAse H were found. The abundance of identified LTR-Solo suggested possible genetic recombination events in the S. sclerotiorum genome. Furthermore, alignment of the sequences for LTR elements from each superfamily suggested the presence of a RIP (repeat-induced point mutation) silencing mechanism that may directly affect the evolution of this species.

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Researcher 2 18%
Student > Bachelor 2 18%
Student > Doctoral Student 1 9%
Lecturer 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 55%
Biochemistry, Genetics and Molecular Biology 1 9%
Medicine and Dentistry 1 9%
Chemistry 1 9%
Engineering 1 9%
Other 0 0%
Unknown 1 9%