球孢白僵菌共生体几丁质酶在生物杀虫剂开发中的应用

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Shruti Gupta , Hemant Kumar , Anand Kumar Pandey
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引用次数: 0

摘要

微生物杀虫剂由于其生态友好性和显著的有效性,是规避化学杀虫剂毒性作用的一种很有前途的方法。球孢白僵菌ARSEF 2860是一种商业使用的生物杀虫剂,与多种植物或作物共生。这种真菌菌株的杀虫机制是由几丁质酶启动的,它能降解昆虫的几丁质层。在这些几丁质酶中,相当数量的几丁质酶缺乏独特的几丁质结合结构域,从而降低了催化效率。对这些几丁质酶进行工程化改造,增强其与几丁质的结合,是开发高潜力生物杀虫剂的一条潜在途径。本研究对球孢白僵菌ARSEF 2860菌株J5JGB8几丁质酶的96个突变体进行了分析,以改善底物结合腔中几丁质的结合。在硅定点诱变中发现30个突变是稳定的,具有有效的吉布自由能变化。J5JGB8几丁质酶与具有几丁质亚基的稳定突变体的分子对接表明,Ala127Ser突变体的负结合能(-8.24 kcal/mol)显著高于野生型酶(-6.75 kcal/mol)。对Ala127Ser几丁质酶-几丁质复合物和野生型几丁质酶-几丁质复合物进行分子动力学模拟分析,发现Ala127Ser几丁质酶-几丁质复合物的氢键数量较高,在突变体的底物结合腔中显示出高的几丁质结合稳定性。末态自由结合能分析显示,与野生型相比,相互作用的静电能发生了有效变化,稳定了几丁质在Ala127Ser突变体J5JGB8几丁质酶底物结合位点的结合,证实了几丁质与突变体几丁质酶的结合得到改善。因此,本研究提供了一种有益的J5JGB8几丁质酶Ala127Ser突变体,它本身可以开发成一种有效的生物杀虫剂,或者可以利用酶工程方法增强球孢白僵菌ARSEF 2860生物杀虫剂的潜力,以促进农业的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

In-silico site-directed mutagenesis and MD simulation analysis to enhance the potential of symbiont fungal chitinase of Beauveria bassiana for bioinsecticide development

In-silico site-directed mutagenesis and MD simulation analysis to enhance the potential of symbiont fungal chitinase of Beauveria bassiana for bioinsecticide development
The use of microbial insecticides is a promising approach to circumvent the toxic effects of chemical insecticides due to their eco-friendly nature and significant effectiveness. Beauveria bassiana strain ARSEF 2860 is a commercially used bioinsecticide that lives in a symbiont association with a variety of plants or crops. The insecticidal mechanism of this fungal strain is initiated by chitinases that degrade the chitin layer of the insects. Among these chitinases, a significant number of chitinases lack a distinct chitin-binding domain and thus have compromised catalytic efficiency. Engineering of these chitinases to enhance the chitin-binding can be a potential approach to develope high potential bioinsecticides. Present study deals with analysis of 96 mutants of the J5JGB8 chitinase of B. bassiana strain ARSEF 2860 to improve chitin-binding in the substrate binding cavity. In-silico site-directed mutagenesis revealed 30 mutations as stable, having an effective change in Gibb's free energy. Molecular docking of J5JGB8 chitinase and all stable mutants with chitin subunit proved significantly high negative binding energy of Ala127Ser mutant (−8.24 kcal/mol) compared to the wild-type enzyme (−6.75 kcal/mol). Molecular dynamic simulation analysis of Ala127Ser chitinase-chitin and wild-type chitinase-chitin complexes revealed higher number of hydrogen bonding in Ala127Ser chitinase-chitin complex, displaying high stability of chitin-binding in the substrate binding cavity of the mutant. End state free binding energy analysis showed effective change in electrostatic energy of the interactions stabilizing the binding of chitin at the substrate binding site of the Ala127Ser mutant J5JGB8 chitinase with respect to wild-type confirming improved binding of chitin with the mutant chitinase. Hence, this study provides a beneficial Ala127Ser mutant form of J5JGB8 chitinase that can itself be developed in to an effective bioinsecticide or may be used to enhance the potential of B. bassiana strain ARSEF 2860 bioinsecticide using enzyme engineering approach to encourage agricultural sustainability.
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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