Microbial Rumen proteome analysis suggests Firmicutes and Bacteroidetes as key producers of lignocellulolytic enzymes and carbohydrate-binding modules.

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Tác giả: Lucas Magalhães Alcantara, Mateus da Silva Pereira, Leandro Martins de Freitas, Andrea Lopes de Oliveira Ferreira, Patrícia Lopes Leal

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Brazil : Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 55145

Lignocellulosic biomass, rich in cellulose, hemicellulose, and lignin, offers a sustainable source for biofuels and and production of other materials such as polymers, paper, fabrics, bioplastics and biofertilizers. However, its complex structure hinders efficient conversion. Chemical, enzymatic, and microbial methods aim to unlock the trapped sugars and phenols. The rumen microbiome, a fascinating ecosystem within ruminant animals, holds particular promise. The Hungate 1000 project sequenced 410 microbial genomes from the rumen, enabling in silico screening for lignocellulolytic enzymes. This approach saves time and resources, supporting the development of sustainable bioconversion technologies aligned with the UN's 2030 agenda goals. Analysis of these 410 predicted proteomes revealed diverse carbohydrate-active enzymes (CAZymes) and carbohydrate-binding modules (CBMs) across various microorganisms. Notably, Firmicutes and Bacteroidetes dominated CAZyme and CBM production, suggesting collaborative efforts among different phyla during degradation. The presence of CBM50 and chitinases hints at the ability to utilize chitin from fungal cell walls. Interestingly, the absence of ligninolytic auxiliary activity enzymes reaffirms the rumen microbiome's incapability of directly degrading lignin. However, enzymes facilitating the loosening of the cell wall by cleaving lignin-hemicellulose linkages were identified. This suggests a strategy for making cellulose more accessible to hydrolytic enzymes. This study highlights the intricate relationship between rumen microbes, contributing necessary enzymes for plant cell wall deconstruction in this unique environment. Additionally, it underlines the power of in silico techniques for analyzing big data, paving the way for advancements in sustainable bioconversion.
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