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Anodic microbial community diversity as a predictor of the power output of microbial fuel cells

机译:阳极微生物群落多样性可预测微生物燃料电池的功率输出

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摘要

The relationship between the diversity of mixed-species microbial consortia and their electrogenic potential in the anodes of microbial fuel cells was examined using different diversity measures as predictors. Identical microbial fuel cells were sampled at multiple time-points. Biofilm and suspension communities were analysed by denaturing gradient gel electrophoresis to calculate the number and relative abundance of species. Shannon and Simpson indices and richness were examined for association with power using bivariate and multiple linear regression, with biofilm DNA as an additional variable. In simple bivariate regressions, the correlation of Shannon diversity of the biofilm and power is stronger (r = 0.65, p = 0.001) than between power and richness (r = 0.39, p = 0.076), or between power and the Simpson index (r = 0.5, p = 0.018). Using Shannon diversity and biofilm DNA as predictors of power, a regression model can be constructed (r = 0.73, p < 0.001). Ecological parameters such as the Shannon index are predictive of the electrogenic potential of microbial communities.
机译:使用不同的多样性度量作为预测因子,检查了混合物种微生物群落的多样性与其在微生物燃料电池阳极中的生电势之间的关系。在多个时间点对相同的微生物燃料电池进行了采样。通过变性梯度凝胶电泳分析生物膜和悬浮液群落,以计算物种的数量和相对丰度。使用双变量和多元线性回归,以生物膜DNA作为附加变量,检验了Shannon和Simpson指数和丰富度与能量的关系。在简单的双变量回归中,生物膜和能力的香农多样性之间的相关性(r = 0.65,p = 0.001)比能力和富裕度之间的相关性(r = 0.39,p = 0.076)强,或者权能与辛普森指数之间的相关性更强(r = 0.5,p = 0.018)。使用香农多样性和生物膜DNA作为能量的预测因子,可以构建回归模型(r = 0.73,p <0.001)。生态参数(如香农指数)可预测微生物群落的电化潜力。

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