A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production.

IF 3.4 Q2 BIOCHEMICAL RESEARCH METHODS
Biochemistry Research International Pub Date : 2022-12-21 eCollection Date: 2022-01-01 DOI:10.1155/2022/4598937
Md Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan
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引用次数: 0

Abstract

Cellulase is a biocatalyst that hydrolyzes cellulosic biomass and is considered a major group of industrial enzymes for its applications. Extensive work has been done on microbial cellulase but fungi are considered a novel strain for their maximum cellulase production. Production cost and novel microbial strains are major challenges for its improvement where cheap agro wastes can be essential sources of cellulose as substrates. The researcher searches for more cellulolytic microbes from natural sources but the production level of isolated strains is comparatively low. So genetic modification or mutation can be employed for large-scale cellulase production before optimization. After genetic modification than in silico molecular modeling can be evaluated for substrate molecule's binding affinity. In this review, we focus not only on the conventional methods of cellulase production but also on modern biotechnological approaches applied to cellulase production by a sequential study on common cellulase-producing microbes, modified microbes, culture media, carbon sources, substrate pretreatment process, and the importance of optimum pH and temperature on fermentation. In this review, we also compare different cellulase activity determination methods. As a result, this review provides insights into the interrelationship between the characteristics of optimizing different culture conditions, genetic modification, and in silico enzyme modeling for the production of cellulase enzymes, which may aid in the advancement of large-scale integrated enzyme manufacturing of substrate-specific enzymes.

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大规模微生物纤维素酶生产的优化、硅学建模和遗传修饰综合研究
纤维素酶是一种水解纤维素生物质的生物催化剂,因其应用而被认为是工业酶的主要种类。人们在微生物纤维素酶方面做了大量工作,但真菌被认为是纤维素酶产量最大的新型菌株。生产成本和新型微生物菌株是改进纤维素酶的主要挑战,而廉价的农业废料可以成为纤维素的重要基质来源。研究人员从天然资源中寻找更多的纤维素分解微生物,但分离出来的菌株生产水平相对较低。因此,在优化之前,可采用基因修饰或突变来大规模生产纤维素酶。基因修饰后,可通过硅学分子模型评估底物分子的结合亲和力。在这篇综述中,我们不仅关注纤维素酶生产的传统方法,还通过对常见的纤维素酶生产微生物、改良微生物、培养基、碳源、底物预处理过程以及发酵过程中最佳 pH 值和温度的重要性的连续研究,关注应用于纤维素酶生产的现代生物技术方法。在本综述中,我们还比较了不同的纤维素酶活性测定方法。因此,本综述深入探讨了生产纤维素酶的不同培养条件优化、基因修饰和硅学酶模型之间的相互关系,这可能有助于推进底物特异性酶的大规模综合酶制剂生产。
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来源期刊
Biochemistry Research International
Biochemistry Research International BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.30
自引率
0.00%
发文量
27
审稿时长
14 weeks
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