A concerted enzymatic de-structuring of lignocellulosic materials using a compost-derived microbial consortia favoring the consolidated pretreatment and bio-saccharification

IF 3.4 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Enzyme and Microbial Technology Pub Date : 2024-01-02 DOI:10.1016/j.enzmictec.2023.110393

Gunasekaran Rajeswari , Vinod Kumar , Samuel Jacob

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Abstract

The robustness of microbial consortia isolated from compost habitat encompasses the complementary metabolism that aids in consolidated bioprocessing (CBP) of lignocellulosic biomass (LCB) by division of labor across the symbionts. Composting of organic waste is deemed to be an efficient way of carbon recycling, where the syntrophic microbial population exerts a concerted action of lignin and polysaccharide (hemicellulose and cellulose) component of plant biomass. The potential of this interrelated microorganism could be enhanced through adaptive laboratory evolution (ALE) with LCB for its desired functional capabilities. Therefore, in this study, microbial symbionts derived from organic compost was enriched on saw dust (SD) (woody biomass), aloe vera leaf rind (AVLR) (agro-industrial waste) and commercial filter paper (FP) (pure cellulose) through ALE under different conditions. Later, the efficacy of enriched consortium (EC) on consolidated pretreatment and bio-saccharification was determined based on substrate degradation, endo-enzymes profiling and fermentable sugar yield. Among the treatment sets, AVLR biomass treated with EC-5 has resulted in the higher degradation rate of lignin (47.01 ± 0.66%, w/w) and polysaccharides (45.87 ± 1.82%, w/w) with a total sugar yield of about 60.01 ± 4.24 mg/g. In addition, the extent of structural disintegration of substrate after EC-treatment was clearly deciphered by FTIR and XRD analysis. And the factors of Pearson correlation matrix reinforces the potency of EC-5 by exhibiting a strong positive correlation between AVLR degradation and the sugar release. Thus, a consortium based CBP could promote the feasibility of establishing a sustainable second generation biorefinery framework.

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利用堆肥微生物联合体对木质纤维素材料进行协同酶解，有利于合并预处理和生物糖化

从堆肥栖息地分离出来的微生物联合体的稳健性包括互补的新陈代谢，通过共生体之间的分工协作，有助于木质纤维素生物质（LCB）的综合生物处理（CBP）。有机废物堆肥被认为是一种有效的碳循环方式，在这种方式中，合成微生物群对植物生物质中的木质素和多糖（半纤维素和纤维素）成分发挥协同作用。这种相互关联的微生物的潜力可以通过与 LCB 的适应性实验室进化（ALE）来提高，以实现其所需的功能能力。因此，本研究在不同条件下，通过适应性实验室进化（ALE），在锯屑（SD）（木质生物质）、芦荟叶皮（AVLR）（农用工业废物）和商用滤纸（FP）（纯纤维素）上富集了来自有机堆肥的微生物共生体。随后，根据底物降解、内酶谱分析和可发酵糖产量确定了富集微生物菌群对综合预处理和生物糖化的功效。在各组处理中，用富集菌群（EC-5）处理的 AVLR 生物质对木质素（47.01 ± 0.66%，w/w）和多糖（45.87 ± 1.82%，w/w）的降解率较高，总糖产量约为 60.01 ± 4.24 mg/g。此外，傅立叶变换红外光谱和 X 射线衍射分析清楚地揭示了经 EC 处理后基质的结构解体程度。皮尔逊相关系数矩阵显示 AVLR 降解与糖释放之间存在很强的正相关性，从而增强了 EC-5 的功效。因此，基于联合体的 CBP 可以促进建立可持续的第二代生物炼制框架的可行性。

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来源期刊

Enzyme and Microbial Technology 生物-生物工程与应用微生物

CiteScore

7.60

自引率

5.90%

发文量

142

审稿时长

38 days

期刊介绍： Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells. We especially encourage submissions on: Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology New Biotechnological Approaches in Genomics, Proteomics and Metabolomics Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.