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原文連結
論文資訊
- 類型：已發表論文
- 日期：2019-12-16
摘要
Correlation-based analysis of paired microbiome-metabolome data sets is becoming a widespread research approach, aiming to comprehensively identify microbial drivers of metabolic variation. To date, however, the limitations of this approach and other microbiome-metabolome analysis methods have not been comprehensively evaluated. To address this challenge, we have introduced a 數學 framework to quantify the contribution of each taxon to metabolite variation based on uptake and secretion fluxes. We additionally used a multi物種 metabolic model to simulate simplified gut communities, generating idealized microbiome-metabolome data sets. We then compared observed taxon-metabolite correlations in these data sets to calculated ground truth taxonomic contribution values. We found that in simulations
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