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基于宏基因组学的基因组中心法则揭示木质纤维素降解未培养细菌的空间分布和多样代谢功能。

Spatial Distribution and Diverse Metabolic Functions of Lignocellulose-Degrading Uncultured Bacteria as Revealed by Genome-Centric Metagenomics.

机构信息

Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.

Department of Biology, University of Padua, Padua, Italy.

出版信息

Appl Environ Microbiol. 2018 Aug 31;84(18). doi: 10.1128/AEM.01244-18. Print 2018 Sep 15.

Abstract

The mechanisms by which specific anaerobic microorganisms remain firmly attached to lignocellulosic material, allowing them to efficiently decompose organic matter, have yet to be elucidated. To circumvent this issue, microbiomes collected from anaerobic digesters treating pig manure and meadow grass were fractionated to separate the planktonic microbes from those adhered to lignocellulosic substrate. Assembly of shotgun reads, followed by a binning process, recovered 151 population genomes, 80 out of which were completely new and were not previously deposited in any database. Genome coverage allowed the identification of microbial spatial distribution in the engineered ecosystem. Moreover, a composite bioinformatic analysis using multiple databases for functional annotation revealed that uncultured members of the and follow diverse metabolic strategies for polysaccharide degradation. The structure of cellulosome in species can differ depending on the number and functional roles of carbohydrate-binding modules. In contrast, members of the are able to adhere to and degrade lignocellulose due to the presence of multiple carbohydrate-binding family 6 modules in beta-xylosidase and endoglucanase proteins or S-layer homology modules in unknown proteins. This study combines the concept of variability in spatial distribution with genome-centric metagenomics, allowing a functional and taxonomical exploration of the biogas microbiome. This work contributes new knowledge about lignocellulose degradation in engineered ecosystems. Specifically, the combination of the spatial distribution of uncultured microbes with genome-centric metagenomics provides novel insights into the metabolic properties of planktonic and firmly attached to plant biomass bacteria. Moreover, the knowledge obtained in this study enabled us to understand the diverse metabolic strategies for polysaccharide degradation in different species of and Even though structural elements of cellulosome were restricted to species, our study identified a putative mechanism in species for biomass decomposition, which is based on a gene cluster responsible for cellulose degradation, disaccharide cleavage to glucose, and transport to cytoplasm.

摘要

特定的厌氧微生物如何牢固地附着在木质纤维素材料上,从而能够有效地分解有机物,其机制尚未阐明。为了解决这个问题,从处理猪粪和草地草的厌氧消化器中收集的微生物组被分成两部分,将浮游微生物与附着在木质纤维素基质上的微生物分开。通过组装 shotgun 读取物,然后进行分类过程,共回收了 151 个种群基因组,其中 80 个是全新的,以前没有在任何数据库中存储过。基因组覆盖度允许识别工程生态系统中微生物的空间分布。此外,使用多个数据库进行功能注释的综合生物信息学分析表明, 和 中未培养的成员遵循不同的多糖降解代谢策略。 种中纤维素酶的结构可以根据糖基结合模块的数量和功能角色而有所不同。相比之下,由于β-木糖苷酶和内切葡聚糖酶蛋白中存在多个碳水化合物结合家族 6 模块或未知蛋白中的 S-层同源模块, 中的成员能够附着在木质纤维素上并降解它。本研究将空间分布的可变性与基于基因组的宏基因组学相结合,对沼气微生物组进行了功能和分类探索。这项工作提供了关于工程化生态系统中木质纤维素降解的新知识。具体来说,将未培养微生物的空间分布与基于基因组的宏基因组学相结合,为浮游和牢固附着在植物生物质上的细菌的代谢特性提供了新的见解。此外,本研究获得的知识使我们能够了解不同 种和 种中多糖降解的多种代谢策略。尽管纤维素酶的结构元件仅限于 种,但我们的研究在 种中确定了一种基于负责纤维素降解、二糖裂解为葡萄糖和向细胞质运输的基因簇的生物质分解的假定机制。

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