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A rapid methodology using fatty acid methyl esters to profile bacterial community structures in microbial fuel cells

机译:使用脂肪酸甲酯分析微生物燃料电池中细菌群落结构的快速方法

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摘要

A new methodology is presented here as an effective, preliminary technique for the identification of indigenous aerobic and facultatively anaerobic bacterial communities found within microbial fuel cells (MFCs). The dual-phased method, named Rapid Agitation Static Incubation-Microbial Identification, or RASI-MIDI. is comprised of rapidly agitating the sample within a SLYM-BART tester followed by stationary incubation which produces a biomass that is subjected to extraction of methyl ester fatty acids. These distinctive fatty acid profiles represent a bacterial community fingerprint unique to the MFC, and are stored in a library for analysis. A total of 84 samples were analyzed for bacterial community structures from seven different groups of MFCs, with each MFC group comprised of a different bacterial community Results showed that comparisons of replicate MFCs comprising the same bacterial communities generated high similarity index (SI) numbers (SI values ranging from 077 to 0.97), indicating highly correlated fatty acid profiles. In contrast, compansons of MFCs having known dissimilar community structures did not consistently generate SI values in the analysis considered to be a significant match It was found that this protocol described herein uniquely and accurately produced MFC fatty acid profiles contained in bacterial communities and thus provides a potential method for routinely studying MFC bacterial community fingerprints.
机译:本文介绍了一种新的方法,作为一种有效的初步技术,用于鉴定在微生物燃料电池(MFCs)中发现的本地有氧和兼性厌氧细菌群落。双阶段方法,称为快速搅拌静态孵化-微生物鉴定或RASI-MIDI。它包括在SLYM-BART测试仪中快速搅拌样品,然后进行固定孵育,从而产生可进行甲酯脂肪酸萃取的生物质。这些独特的脂肪酸谱代表了MFC独有的细菌群落指纹,并存储在库中进行分析。共分析了84个样本的7个不同组的MFC的细菌群落结构,每个MFC组均包含一个不同的细菌群落。结果显示,包含相同细菌群落的重复MFC的比较产生了高相似度指数(SI)值介于077至0.97之间),表明脂肪酸谱高度相关。相比之下,具有已知不同群落结构的MFC的同伴物在认为被认为是重要匹配的分析中并未一致地产生SI值。发现本文所述的该协议可唯一且准确地产生细菌群落中所包含的MFC脂肪酸谱,从而提供了一种常规研究MFC细菌群落指纹的潜在方法。

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