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Evolutionary history of versatile-lipases from Agaricales through reconstruction of ancestral structures

Overview of attention for article published in BMC Genomics, January 2017
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Title
Evolutionary history of versatile-lipases from Agaricales through reconstruction of ancestral structures
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3419-2
Pubmed ID
Authors

Jorge Barriuso, María Jesús Martínez

Abstract

Fungal "Versatile carboxylic ester hydrolases" are enzymes with great biotechnological interest. Here we carried out a bioinformatic screening to find these proteins in genomes from Agaricales, by means of searching for conserved motifs, sequence and phylogenetic analysis, and three-dimensional modeling. Moreover, we reconstructed the molecular evolution of these enzymes along the time by inferring and analyzing the sequence of ancestral intermediate forms. The properties of the ancestral candidates are discussed on the basis of their three-dimensional structural models, the hydrophobicity of the lid, and the substrate binding intramolecular tunnel, revealing all of them featured properties of these enzymes. The evolutionary history of the putative lipases revealed an increase on the length and hydrophobicity of the lid region, as well as in the size of the substrate binding pocket, during evolution time. These facts suggest the enzymes' specialization towards certain substrates and their subsequent loss of promiscuity. These results bring to light the presence of different pools of lipases in fungi with different habitats and life styles. Despite the consistency of the data gathered from reconstruction of ancestral sequences, the heterologous expression of some of these candidates would be essential to corroborate enzymes' activities.

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Student > Master 6 17%
Student > Bachelor 4 11%
Researcher 3 8%
Professor > Associate Professor 3 8%
Other 7 19%
Unknown 3 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 31%
Agricultural and Biological Sciences 10 28%
Chemistry 5 14%
Environmental Science 3 8%
Unspecified 2 6%
Other 3 8%
Unknown 2 6%