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Ding Z, Li T, Chen M, Fang Y, Hou X, Yang G, Lu J, Ye Q, Zhu R, He F, Xia M, Liu S. Purification and characterization of a chitinase from Aeromonas media CZW001 as a biocatalyst for producing chitinpentaose and chitinhexaose. Biotechnol Appl Biochem 2023; 70:281-289. [PMID: 35578780 DOI: 10.1002/bab.2351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/25/2022] [Indexed: 11/07/2022]
Abstract
Developing chitinase suitable for the bioconversion of chitin to chitin oligosaccharides has attracted significant attention due to its benefits in environmental protection. In this study, chitinase from Aeromonas media CZW001 (AmChi) was purified and characterized. The molecular weight of AmChi was approximately 40 kDa. AmChi exhibited maximum catalytic activity at pH 8.0 with an optimum temperature of 55°C and showed broad stability between 15 and 65°C and between pH 5.0 and 9.0. AmChi was activated by Mg2+ , Na+ , and K+ and inhibited by Hg+ , Co2+ , Fe2+ , Ca2+ , Ag+ , Zn2+ , and EDTA. The main products of AmChi on colloidal chitin were chitinhexaose and chitinpentaose. AmChi had better substrate specificity for powdered chitin than colloidal chitin and had a higher catalytic efficiency toward (GlcNAc)5 than colloidal chitin. AmChi inhibited fungal growth in a dose-dependent manner. These results suggest that AmChi could be used for the enzymatic degradation of chitin to produce chitinhexaose and chitinpentaose, which have several industrial applications.
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Affiliation(s)
- Zhiwen Ding
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China.,Jiangsu Marine Resources Development Research Institute, Jiangsu Ocean University, Lianyungang, China
| | - Tian Li
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China.,Jiangsu Marine Resources Development Research Institute, Jiangsu Ocean University, Lianyungang, China
| | - Meng Chen
- Lianyungang Inspection and Testing Center for Food and Drug Control, Lianyungang, China
| | - Yaowei Fang
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China.,Jiangsu Marine Resources Development Research Institute, Jiangsu Ocean University, Lianyungang, China
| | - Xiaoyue Hou
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China
| | - Gaung Yang
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China
| | - Jing Lu
- School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China
| | - Qinwen Ye
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China
| | - Rongjun Zhu
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China
| | - Fuxiang He
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China
| | - Mengjie Xia
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China
| | - Shu Liu
- Jiangsu Key Laboratory of Marine Bioresources and Environment/Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.,Co-Innovation Center of Jiangsu Marine Bioindustry Technology, Jiangsu Ocean University, Lianyungang, China.,School of Food Science and Engineering, Jiangsu Ocean University, Lianyungang, China.,Jiangsu Marine Resources Development Research Institute, Jiangsu Ocean University, Lianyungang, China
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Poria V, Rana A, Kumari A, Grewal J, Pranaw K, Singh S. Current Perspectives on Chitinolytic Enzymes and Their Agro-Industrial Applications. BIOLOGY 2021; 10:1319. [PMID: 34943233 PMCID: PMC8698876 DOI: 10.3390/biology10121319] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/03/2021] [Accepted: 12/09/2021] [Indexed: 12/16/2022]
Abstract
Chitinases are a large and diversified category of enzymes that break down chitin, the world's second most prevalent polymer after cellulose. GH18 is the most studied family of chitinases, even though chitinolytic enzymes come from a variety of glycosyl hydrolase (GH) families. Most of the distinct GH families, as well as the unique structural and catalytic features of various chitinolytic enzymes, have been thoroughly explored to demonstrate their use in the development of tailor-made chitinases by protein engineering. Although chitin-degrading enzymes may be found in plants and other organisms, such as arthropods, mollusks, protozoans, and nematodes, microbial chitinases are a promising and sustainable option for industrial production. Despite this, the inducible nature, low titer, high production expenses, and susceptibility to severe environments are barriers to upscaling microbial chitinase production. The goal of this study is to address all of the elements that influence microbial fermentation for chitinase production, as well as the purifying procedures for attaining high-quality yield and purity.
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Affiliation(s)
- Vikram Poria
- Department of Microbiology, Central University of Haryana, Mahendargarh 123031, India; (V.P.); (A.K.)
| | - Anuj Rana
- Department of Microbiology (COBS & H), CCS Haryana Agricultural University, Hisar 125004, India;
| | - Arti Kumari
- Department of Microbiology, Central University of Haryana, Mahendargarh 123031, India; (V.P.); (A.K.)
| | - Jasneet Grewal
- Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa, 102-096 Warsaw, Poland; (J.G.); (K.P.)
| | - Kumar Pranaw
- Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa, 102-096 Warsaw, Poland; (J.G.); (K.P.)
| | - Surender Singh
- Department of Microbiology, Central University of Haryana, Mahendargarh 123031, India; (V.P.); (A.K.)
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Ousaadi MI, Merouane F, Berkani M, Almomani F, Vasseghian Y, Kitouni M. Valorization and optimization of agro-industrial orange waste for the production of enzyme by halophilic Streptomyces sp. ENVIRONMENTAL RESEARCH 2021; 201:111494. [PMID: 34171373 DOI: 10.1016/j.envres.2021.111494] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/31/2021] [Accepted: 05/31/2021] [Indexed: 06/13/2023]
Abstract
This study underlines the biotechnical valorization of the accumulated and unusable remains of agro-industrial orange fruit peel waste to produce α-amylase under submerged conditions by Streptomyces sp. KP314280 (20r). The response surface methodology based on central composite design (RSM-CCD) and artificial neural network coupled with a genetic algorithm (ANN-GA) were used to model and optimize the conditions for the α-amylase production. Four independent variables were evaluated for α-amylase activity including substrate concentration, inoculum size, sodium chloride powder (NaCl), and pH. A ten-fold cross-validation indicated that the ANN has a greater ability than the RSM to predict the α-amylase activity (R2ANN = 0.884 and R2RSM = 0.725). The analysis of variance indicated that the aforementioned four factors significantly affected the α-amylase activity. Additionally, the α-amylase production experiments were conducted according to the optimal conditions generated by the GA. The results indicated that the amylase yield increased by 4-fold. Moreover, the α-amylase production (12.19 U/mL) in the optimized medium was compatible with the predicted conditions outlined by the ANN-GA model (12.62 U/mL). As such, the ANN and GA combination is optimizable for α-amylase production and exhibits an accurate prediction which provides an alternative to other biological applications.
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Affiliation(s)
- Mouna Imene Ousaadi
- Laboratoire Biotechnologies, Ecole Nationale Supérieure de Biotechnologie, Ville Universitaire Ali Mendjeli, BP E66 25100, Constantine, Algeria
| | - Fateh Merouane
- Laboratoire Biotechnologies, Ecole Nationale Supérieure de Biotechnologie, Ville Universitaire Ali Mendjeli, BP E66 25100, Constantine, Algeria
| | - Mohammed Berkani
- Laboratoire Biotechnologies, Ecole Nationale Supérieure de Biotechnologie, Ville Universitaire Ali Mendjeli, BP E66 25100, Constantine, Algeria.
| | - Fares Almomani
- Department of Chemical Engineering, College of Engineering, Qatar University, P. O. Box 2713, Doha, Qatar.
| | - Yasser Vasseghian
- Department of Chemical Engineering, Quchan University of Technology, Quchan, Iran.
| | - Mahmoud Kitouni
- Laboratoire de Génie Microbiologie et Applications, Université des Frères Mentouri Constantine 1, Route Ain El Bey, 25000 Constantine, Algeria
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