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Analysis of the ergosterol biosynthesis pathway cloning, molecular characterization and phylogeny of lanosterol 14α-demethylase (ERG11) gene of Moniliophthora perniciosa

Overview of attention for article published in Genetics and Molecular Biology, November 2014
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Title
Analysis of the ergosterol biosynthesis pathway cloning, molecular characterization and phylogeny of lanosterol 14α-demethylase (ERG11) gene of Moniliophthora perniciosa
Published in
Genetics and Molecular Biology, November 2014
DOI 10.1590/s1415-47572014005000017
Pubmed ID
Authors

Geruza de Oliveira Ceita, Laurival Antônio Vilas-Boas, Marcelo Santos Castilho, Marcelo Falsarella Carazzolle, Carlos Priminho Pirovani, Alessandra Selbach-Schnadelbach, Karina Peres Gramacho, Pablo Ivan Pereira Ramos, Luciana Veiga Barbosa, Gonçalo Amarante Guimarães Pereira, Aristóteles Góes-Neto

Abstract

The phytopathogenic fungus Moniliophthora perniciosa (Stahel) Aime & Philips-Mora, causal agent of witches' broom disease of cocoa, causes countless damage to cocoa production in Brazil. Molecular studies have attempted to identify genes that play important roles in fungal survival and virulence. In this study, sequences deposited in the M. perniciosa Genome Sequencing Project database were analyzed to identify potential biological targets. For the first time, the ergosterol biosynthetic pathway in M. perniciosa was studied and the lanosterol 14α-demethylase gene (ERG11) that encodes the main enzyme of this pathway and is a target for fungicides was cloned, characterized molecularly and its phylogeny analyzed. ERG11 genomic DNA and cDNA were characterized and sequence analysis of the ERG11 protein identified highly conserved domains typical of this enzyme, such as SRS1, SRS4, EXXR and the heme-binding region (HBR). Comparison of the protein sequences and phylogenetic analysis revealed that the M. perniciosa enzyme was most closely related to that of Coprinopsis cinerea.

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Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Master 5 17%
Student > Bachelor 4 13%
Researcher 4 13%
Professor > Associate Professor 3 10%
Other 6 20%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Biochemistry, Genetics and Molecular Biology 8 27%
Chemical Engineering 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Neuroscience 1 3%
Other 2 7%
Unknown 4 13%