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基于多组学关联技术构建合成微生物群落及木质纤维素降解机制分析

Construction of a synthetic microbial community based on multiomics linkage technology and analysis of the mechanism of lignocellulose degradation.

作者信息

Chen Jinmeng, Cai Yafan, Wang Zhi, Xu Zhengzhong, Li Jia, Ma Xiaotian, Zhuang Wei, Liu Dong, Wang Shilei, Song Andong, Xu Jingliang, Ying Hanjie

机构信息

School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China.

School of Chemical Engineering, Zhengzhou University, 100 Ke xue Dadao, Zhengzhou 450001, China; National Engineering Technique Research Center for Biotechnology, State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 210009, China.

出版信息

Bioresour Technol. 2023 Dec;389:129799. doi: 10.1016/j.biortech.2023.129799. Epub 2023 Sep 27.

Abstract

The efficient degradation of lignocellulose is a bottleneck for its integrated utilization. This research performed species analysis and made functional predictions in various ecosystems using multiomics coupling to construct a core synthetic microbial community with efficient lignocellulose degradation function. The synthetic microbial community was employed to degrade corn straw via solid-state fermentation. The degradation mechanisms were resolved using proteomics. The optimum culture conditions included 10% inoculum level (w/v), 4% nitrogen source ratio and a fermentation time of 23 d. Under these conditions, the degradation rates of cellulose, hemicellulose, and lignin were 34.91%, 45.94%, and 23.34%, respectively. Proteomic analysis revealed that lignin 1,4-β-xylanase, β-xylosidase and endo-1,4-β-xylanase were closely related to lignocellulose degradation. The metabolic pathways involved in lignocellulose degradation and the functional roles of eight strains were obtained. The synthesis of a microbial community via multiomics linkage technology can effectively decompose lignocellulose, which is useful for their further utilization.

摘要

木质纤维素的高效降解是其综合利用的瓶颈。本研究利用多组学耦合技术在不同生态系统中进行物种分析并进行功能预测,构建具有高效木质纤维素降解功能的核心合成微生物群落。利用该合成微生物群落通过固态发酵降解玉米秸秆。采用蛋白质组学解析降解机制。最佳培养条件包括接种量10%(w/v)、氮源比例4%和发酵时间23天。在此条件下,纤维素、半纤维素和木质素的降解率分别为34.91%、45.94%和23.34%。蛋白质组学分析表明,木质素1,4-β-木聚糖酶、β-木糖苷酶和内切-1,4-β-木聚糖酶与木质纤维素降解密切相关。获得了参与木质纤维素降解的代谢途径以及8株菌株的功能作用。通过多组学连锁技术合成微生物群落能够有效分解木质纤维素,这对其进一步利用具有重要意义。

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