Feeding regime selectively enriching acetoclastic methanogens to enhance energy production in anaerobic digestion systems

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal Pub Date : 2025-04-21 DOI:10.1016/j.bej.2025.109764

Huanhuan Chang , Qidong Yin , Kai He , Jo De Vrieze , Guangxue Wu

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引用次数: 0

Abstract

Applying the r/K selection theory to explore the distribution patterns of acetoclastic methanogens under varying conditions is rare, although it can offer a basis for optimizing community structure and enhancing methane production in anaerobic digestion systems. Different operating modes (sequencing batch reactors, SBRs; and continuous-flow reactors, CFRs) and solids retention times (SRTs; 15 and 50 days) were adopted to acclimate different acetoclastic methanogens in acetate-fed anaerobic reactors. SBRs exhibited a significantly higher CH₄ production rate than CFRs (P = 0.037). Methanosarcina exhibited a higher relative abundance in SBRs (13.7 ∼ 16.1 %) than in CFRs (0.2 ∼ 0.3 %), aligning with its typical r-strategist characteristics. Methanothrix showed a higher enrichment in CFRs (33.1 ∼ 39.6 %) compared to SBRs (26.8 ∼ 29.9 %) at the same SRT, indicating K-strategist behavior. The SBRs had the potential to co-enrich both types of methanogens. Feeding regimes played a more pivotal role in the distribution of methanogens than SRT. The dominant bacteria, such as Desulfococcus and Mesotoga, as well as the archaeon Methanothrix, were auxotrophic in some essential amino acids, implying potential cross-feeding interactions. This study provides key insights into ecological strategies by linking microbiology with environmental technologies to enrich target methanogenic communities and enhance methane production.

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饲喂方式选择性地富集丙酮发酵产甲烷菌，以提高厌氧消化系统的能量生产

应用r/K选择理论来探索不同条件下丙酮裂解产甲烷菌的分布规律是罕见的，尽管它可以为优化厌氧消化系统的群落结构和提高甲烷产量提供依据。不同的运行模式(序批式反应器、sbr；连续流反应器（CFRs）和固相保留时间（srt）；15和50 d)在醋酸盐厌氧反应器中驯化不同的醋酸破酯产甲烷菌。sbr的CH4产率显著高于CFRs （P = 0.037）。Methanosarcina在sbr中的相对丰度（13.7 ~ 16.1 %）高于在CFRs中的相对丰度（0.2 ~ 0.3 %），符合其典型的r- strategy特征。在相同的SRT下，甲烷菌在CFRs中的丰度（33.1 ~ 39.6 %）高于sbr(26.8 ~ 29.9 %)，表明了k -战略家行为。sbr具有共同富集两种产甲烷菌的潜力。饲养方式对产甲烷菌分布的影响比SRT更为关键。优势菌，如Desulfococcus和Mesotoga，以及古菌Methanothrix，在某些必需氨基酸中是营养不良的，这意味着潜在的交叉喂养相互作用。该研究通过将微生物学与环境技术相结合来丰富目标产甲烷群落和提高甲烷产量，为生态策略提供了关键见解。

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来源期刊

Biochemical Engineering Journal 工程技术-工程：化工

CiteScore

7.10

自引率

5.10%

发文量

380

审稿时长

34 days

期刊介绍： The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.