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Phylogenomic Relationships between Amylolytic Enzymes from 85 Strains of Fungi

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Title
Phylogenomic Relationships between Amylolytic Enzymes from 85 Strains of Fungi
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049679
Pubmed ID
Authors

Wanping Chen, Ting Xie, Yanchun Shao, Fusheng Chen

Abstract

Fungal amylolytic enzymes, including α-amylase, gluocoamylase and α-glucosidase, have been extensively exploited in diverse industrial applications such as high fructose syrup production, paper making, food processing and ethanol production. In this paper, amylolytic genes of 85 strains of fungi from the phyla Ascomycota, Basidiomycota, Chytridiomycota and Zygomycota were annotated on the genomic scale according to the classification of glycoside hydrolase (GH) from the Carbohydrate-Active enZymes (CAZy) Database. Comparisons of gene abundance in the fungi suggested that the repertoire of amylolytic genes adapted to their respective lifestyles. Amylolytic enzymes in family GH13 were divided into four distinct clades identified as heterologous α-amylases, eukaryotic α-amylases, bacterial and fungal α-amylases and GH13 α-glucosidases. Family GH15 had two branches, one for gluocoamylases, and the other with currently unknown function. GH31 α-glucosidases showed diverse branches consisting of neutral α-glucosidases, lysosomal acid α-glucosidases and a new clade phylogenetically related to the bacterial counterparts. Distribution of starch-binding domains in above fungal amylolytic enzymes was related to the enzyme source and phylogeny. Finally, likely scenarios for the evolution of amylolytic enzymes in fungi based on phylogenetic analyses were proposed. Our results provide new insights into evolutionary relationships among subgroups of fungal amylolytic enzymes and fungal evolutionary adaptation to ecological conditions.

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Geographical breakdown

Country Count As %
Germany 1 1%
India 1 1%
Canada 1 1%
Mexico 1 1%
United States 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Master 12 17%
Student > Bachelor 10 14%
Student > Ph. D. Student 6 9%
Student > Postgraduate 3 4%
Other 9 13%
Unknown 18 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 57%
Biochemistry, Genetics and Molecular Biology 10 14%
Environmental Science 2 3%
Unspecified 1 1%
Sports and Recreations 1 1%
Other 0 0%
Unknown 16 23%