A novel thermophilic chitinase directly mined from the marine metagenome using the deep learning tool Preoptem

Yan Zhang; Feifei Guan; Guoshun Xu; Xiaoqing Liu; Yuhong Zhang; Jilu Sun; Bin Yao; Huoqing Huang; Ningfeng Wu; Jian Tian

doi:10.1186/s40643-022-00543-1

Bioresources and Bioprocessing ›› 2022, Vol. 9 ›› Issue (1) : 54 DOI: 10.1186/s40643-022-00543-1

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A novel thermophilic chitinase directly mined from the marine metagenome using the deep learning tool Preoptem

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Abstract

Chitin is abundant in nature and its degradation products are highly valuable for numerous applications. Thermophilic chitinases are increasingly appreciated for their capacity to biodegrade chitin at high temperatures and prolonged enzyme stability. Here, using deep learning approaches, we developed a prediction tool, Preoptem, to screen thermophilic proteins. A novel thermophilic chitinase, Chi304, was mined directly from the marine metagenome. Chi304 showed maximum activity at 85 ℃, its T_m reached 89.65 ± 0.22℃, and exhibited excellent thermal stability at 80 and 90 °C. Chi304 had both endo- and exo-chitinase activities, and the (GlcNAc)₂ was the main hydrolysis product of chitin-related substrates. The product yields of colloidal chitin degradation reached 97% within 80 min, and 20% over 4 days of reaction with crude chitin powder. This study thus provides a method to mine the novel thermophilic chitinase for efficient chitin biodegradation.

Keywords

Deep learning / Chitinase / Thermal stability / Chitooligosaccharides

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Yan Zhang, Feifei Guan, Guoshun Xu, Xiaoqing Liu, Yuhong Zhang, Jilu Sun, Bin Yao, Huoqing Huang, Ningfeng Wu, Jian Tian. A novel thermophilic chitinase directly mined from the marine metagenome using the deep learning tool Preoptem. Bioresources and Bioprocessing, 2022, 9(1): 54 DOI:10.1186/s40643-022-00543-1

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