A novel starch-active lytic polysaccharide monooxygenase discovered with bioinformatics screening and its application in textile desizing.

IF 3.5 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY BMC Biotechnology Pub Date : 2024-01-10 DOI:10.1186/s12896-023-00826-1
Meijuan Zhang, Xiaoping Fu, Rongrong Gu, Bohua Zhao, Xingya Zhao, Hui Song, Hongchen Zheng, Jianyong Xu, Wenqin Bai
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Abstract

Background: Lytic polysaccharide monooxygenases (LPMOs) catalyzing the oxidative cleavage of different types of polysaccharides have potential to be used in various industries. However, AA13 family LPMOs which specifically catalyze starch substrates have relatively less members than AA9 and AA10 families to limit their application range. Amylase has been used in enzymatic desizing treatment of cotton fabric for semicentury which urgently need for new assistant enzymes to improve reaction efficiency and reduce cost so as to promote their application in the textile industry.

Results: A total of 380 unannotated new genes which probably encode AA13 family LPMOs were discovered by the Hidden Markov model scanning in this study. Ten of them have been successfully heterologous overexpressed. AlLPMO13 with the highest activity has been purified and determined its optimum pH and temperature as pH 5.0 and 50 °C. It also showed various oxidative activities on different substrates (modified corn starch > amylose > amylopectin > corn starch). The results of enzymatic textile desizing application showed that the best combination of amylase (5 g/L), AlLPMO13 (5 mg/L), and H2O2 (3 g/L) made the desizing level and the capillary effects increased by 3 grades and more than 20%, respectively, compared with the results treated by only amylase.

Conclusion: The Hidden Markov model constructed basing on 34 AA13 family LPMOs was proved to be a valid bioinformatics tool for discovering novel starch-active LPMOs. The novel enzyme AlLPMO13 has strong development potential in the enzymatic textile industry both concerning on economy and on application effect.

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通过生物信息学筛选发现的新型淀粉活性裂解多糖单氧化酶及其在纺织品退浆中的应用
背景:催化不同类型多糖氧化裂解的溶解性多糖单加氧酶(LPMOs)具有应用于各行各业的潜力。不过,与 AA9 和 AA10 家族相比,专门催化淀粉底物的 AA13 家族 LPMOs 成员相对较少,限制了其应用范围。淀粉酶用于棉织物的酶法退浆处理已有半个世纪,迫切需要新的辅助酶来提高反应效率和降低成本,以促进其在纺织业的应用:结果:本研究通过隐马尔可夫模型扫描发现了380个可能编码AA13家族LPMOs的未注释新基因。其中 10 个基因已成功异源过表达。纯化了活性最高的 AlLPMO13,并确定其最适 pH 值和温度为 pH 5.0 和 50 °C。它还显示了对不同底物(改性玉米淀粉 > 直链淀粉 > 直链淀粉 > 玉米淀粉)的不同氧化活性。酶法纺织品退浆应用的结果表明,淀粉酶(5 克/升)、AlLPMO13(5 毫克/升)和 H2O2(3 克/升)的最佳组合与仅用淀粉酶处理的结果相比,退浆水平和毛细管效应分别提高了 3 个等级和 20% 以上:以 34 种 AA13 家族 LPMOs 为基础构建的隐马尔可夫模型被证明是发现新型淀粉活性 LPMOs 的有效生物信息学工具。新型酶 AlLPMO13 在经济性和应用效果两方面都具有很强的发展潜力。
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来源期刊
BMC Biotechnology
BMC Biotechnology 工程技术-生物工程与应用微生物
CiteScore
6.60
自引率
0.00%
发文量
34
审稿时长
2 months
期刊介绍: BMC Biotechnology is an open access, peer-reviewed journal that considers articles on the manipulation of biological macromolecules or organisms for use in experimental procedures, cellular and tissue engineering or in the pharmaceutical, agricultural biotechnology and allied industries.
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