Structural analyses and yeast production of the β-1,3-1,4-glucanase catalytic module encoded by the licB gene of Clostridium thermocellum

Chen, Chun‐Chi; Huang, Jian‐Wen; Zhao, Puya; Ko, Tzu‐Ping; Huang, Chun‐Hsiang; Chan, H.C.; Huang, Zhiyong; Liu, Wenting; Cheng, Ya‐Shan; Liu, Je-Ruei; Guo, Rey‐Ting

doi:10.1016/j.enzmictec.2015.01.002

Cited by 13 publications

(3 citation statements)

References 29 publications

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“…Sequence alignment showed many conserved motifs and especially two potential catalytic sites (GEXDXXE) ( Supplementary Fig. 1) which is a characteristic of GH16 family as described in the bacteria Clostridium thermocellum and Cellulosimicrobium cellulans (Tanabe and Oda, 2011;Chen et al, 2015). The percent identity among GH16 and GH81 family members of A. fumigatus varied between 7 and 82%.…”

Section: Characterization Of Endo-β-(13)-glucanases In a Fumigatusmentioning

confidence: 92%

“…The characteristics of the gene expression products are described in the Supplementary Table 1. 1) which is a characteristic of GH16 family as described in the bacteria Clostridium thermocellum and Cellulosimicrobium cellulans (Tanabe and Oda, 2011;Chen et al, 2015). 1) which is a characteristic of GH16 family as described in the bacteria Clostridium thermocellum and Cellulosimicrobium cellulans (Tanabe and Oda, 2011;Chen et al, 2015).…”

Section: Characterization Of Endo-β-(13)-glucanases In a Fumigatusmentioning

confidence: 99%

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GH16 and GH81 family β-(1,3)-glucanases inAspergillus fumigatusare essential for conidial cell wall morphogenesis

Mouyna¹,

Aimanianda²,

Hartl³

et al. 2016

Cellular Microbiology

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The fungal cell wall is a rigid structure because of fibrillar and branched β-(1,3)-glucan linked to chitin. Softening of the cell wall is an essential phenomenon during fungal morphogenesis, wherein rigid cell wall structures are cleaved by glycosylhydrolases. During the search for glycosylhydrolases acting on β-(1,3)-glucan, we identified seven genes in the Aspergillus fumigatus genome coding for potential endo-β-(1,3)-glucanase. ENG1 (previously characterized and named ENGL1, Mouyna et al., ), belongs to the Glycoside-Hydrolase 81 (GH81) family, while ENG2 to ENG7, to GH16 family. ENG1 and four GH16 genes (ENG2-5) were expressed in the resting conidia as well as during germination, suggesting an essential role during A. fumigatus morphogenesis. Here, we report the effect of sequential deletion of AfENG2-5 (GH16) followed by AfENG1 (GH81) deletion in the Δeng2,3,4,5 mutant. The Δeng1,2,3,4,5 mutant showed conidial defects, with linear chains of conidia unable to separate while the germination rate was not affected. These results show, for the first time in a filamentous fungus, that endo β-(1,3)-glucanases are essential for proper conidial cell wall assembly and thus segregation of conidia during conidiation.

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Section: Characterization Of Endo-β-(13)-glucanases In a Fumigatusmentioning

confidence: 92%

Section: Characterization Of Endo-β-(13)-glucanases In a Fumigatusmentioning

confidence: 99%

GH16 and GH81 family β-(1,3)-glucanases inAspergillus fumigatusare essential for conidial cell wall morphogenesis

Mouyna¹,

Aimanianda²,

Hartl³

et al. 2016

Cellular Microbiology

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“…The GRNN is a variation of an RBF neural network, which is based on nonparametric estimation commonly used in statistics [ 39 ]. It is a powerful regression tool that can solve any function approximation problem, including prediction, control, and general mapping [ 40 , 41 ].…”

Section: Grnn Modulementioning

confidence: 99%

A Highly Reliable and Cost-Efficient Multi-Sensor System for Land Vehicle Positioning

Liu

et al. 2016

Sensors

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In this paper, we propose a novel positioning solution for land vehicles which is highly reliable and cost-efficient. The proposed positioning system fuses information from the MEMS-based reduced inertial sensor system (RISS) which consists of one vertical gyroscope and two horizontal accelerometers, low-cost GPS, and supplementary sensors and sources. First, pitch and roll angle are accurately estimated based on a vehicle kinematic model. Meanwhile, the negative effect of the uncertain nonlinear drift of MEMS inertial sensors is eliminated by an H∞ filter. Further, a distributed-dual-H∞ filtering (DDHF) mechanism is adopted to address the uncertain nonlinear drift of the MEMS-RISS and make full use of the supplementary sensors and sources. The DDHF is composed of a main H∞ filter (MHF) and an auxiliary H∞ filter (AHF). Finally, a generalized regression neural network (GRNN) module with good approximation capability is specially designed for the MEMS-RISS. A hybrid methodology which combines the GRNN module and the AHF is utilized to compensate for RISS position errors during GPS outages. To verify the effectiveness of the proposed solution, road-test experiments with various scenarios were performed. The experimental results illustrate that the proposed system can achieve accurate and reliable positioning for land vehicles.

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A chemiluminescence aptasensor for sensitive detection of alpha-fetoprotein based on hemin@ZIF-67

et al. 2022

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Structural analyses and yeast production of the β-1,3-1,4-glucanase catalytic module encoded by the licB gene of Clostridium thermocellum

Cited by 13 publications

References 29 publications

GH16 and GH81 family β-(1,3)-glucanases inAspergillus fumigatusare essential for conidial cell wall morphogenesis

GH16 and GH81 family β-(1,3)-glucanases inAspergillus fumigatusare essential for conidial cell wall morphogenesis

A Highly Reliable and Cost-Efficient Multi-Sensor System for Land Vehicle Positioning

A chemiluminescence aptasensor for sensitive detection of alpha-fetoprotein based on hemin@ZIF-67

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