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Genomic and Secretomic Analyses Reveal Unique Features of the Lignocellulolytic Enzyme System of Penicillium decumbens

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Title
Genomic and Secretomic Analyses Reveal Unique Features of the Lignocellulolytic Enzyme System of Penicillium decumbens
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0055185
Pubmed ID
Authors

Guodong Liu, Lei Zhang, Xiaomin Wei, Gen Zou, Yuqi Qin, Liang Ma, Jie Li, Huajun Zheng, Shengyue Wang, Chengshu Wang, Luying Xun, Guo-Ping Zhao, Zhihua Zhou, Yinbo Qu

Abstract

Many Penicillium species could produce extracellular enzyme systems with good lignocellulose hydrolysis performance. However, these species and their enzyme systems are still poorly understood and explored due to the lacking of genetic information. Here, we present the genomic and secretomic analyses of Penicillium decumbens that has been used in industrial production of lignocellulolytic enzymes in China for more than fifteen years. Comparative genomics analysis with the phylogenetically most similar species Penicillium chrysogenum revealed that P. decumbens has evolved with more genes involved in plant cell wall degradation, but fewer genes in cellular metabolism and regulation. Compared with the widely used cellulase producer Trichoderma reesei, P. decumbens has a lignocellulolytic enzyme system with more diverse components, particularly for cellulose binding domain-containing proteins and hemicellulases. Further, proteomic analysis of secretomes revealed that P. decumbens produced significantly more lignocellulolytic enzymes in the medium with cellulose-wheat bran as the carbon source than with glucose. The results expand our knowledge on the genetic information of lignocellulolytic enzyme systems in Penicillium species, and will facilitate rational strain improvement for the production of highly efficient enzyme systems used in lignocellulose utilization from Penicillium species.

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Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
Sweden 1 <1%
Japan 1 <1%
Unknown 130 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 27%
Researcher 19 14%
Student > Master 13 10%
Student > Bachelor 10 7%
Professor 8 6%
Other 25 19%
Unknown 23 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 41%
Biochemistry, Genetics and Molecular Biology 30 22%
Chemical Engineering 5 4%
Environmental Science 4 3%
Immunology and Microbiology 3 2%
Other 12 9%
Unknown 25 19%