Yang Dawei, Fan Xiaolei, Shi Xiaoshuang, Lian Shujuan, Qiao Jiangtao, Guo Rongbo
Biotechnol Lett. 2014 Jul;36(7):1461-8. doi: 10.1007/s10529-014-1508-3.
Analysis of intracellular metabolites is essential to delineate metabolic pathways of microbial communities for evaluation and optimization of anaerobic fermentation processes. The metabolomics are reported for a microbial community during two stages of anaerobic fermentation of corn stalk in a biogas digester using GC–MS. Acetonitrile/methanol/water (2:2:1, by vol) was the best extraction solvent for microbial community analysis because it yielded the largest number of peaks (>200), the highest mean summed value of identified metabolites (23) and the best reproducibility with a coefficient of variation of 30 % among four different extraction methods. Inter-stage comparison of metabolite profiles showed increased levels of sugars and sugar alcohols during methanogenesis and fatty acids during acidogenesis. Identification of stage-specific metabolic pathways using metabolomics can therefore assist in monitoring and optimization of the microbial community for increased biogas production during anaerobic fermentation.
分析细胞内代谢物对于描绘微生物群落的代谢途径至关重要,以便评估和优化厌氧发酵过程。利用气相色谱 - 质谱联用仪(GC–MS)对沼气池内玉米秸秆厌氧发酵两个阶段的微生物群落进行了代谢组学研究。乙腈/甲醇/水(体积比2:2:1)是用于微生物群落分析的最佳提取溶剂,因为在四种不同提取方法中,它产生的峰数量最多(>200),鉴定出的代谢物平均总和值最高(23),且具有最佳的重现性,变异系数为30%。代谢物谱的阶段间比较表明,在产甲烷阶段糖和糖醇水平升高,在产酸阶段脂肪酸水平升高。因此,利用代谢组学鉴定特定阶段的代谢途径有助于监测和优化微生物群落,以提高厌氧发酵过程中的沼气产量。