PDF(Pubmed)
Abstract：
A major open question in microbial community ecology is whether we can predict how the components of a diet collectively determine the taxonomic composition of microbial communities. Motivated by this challenge, we investigate whether communities assembled in pairs of nutrients can be predicted from those assembled in every single nutrient alone. We find that although the null, naturally additive model generally predicts well the family-level community composition, there exist systematic deviations from the additive predictions that reflect generic patterns of nutrient dominance at the family level. Pairs of more-similar nutrients (e.g. two sugars) are on average more additive than pairs of more dissimilar nutrients (one sugar-one organic acid). Furthermore, sugar-acid communities are generally more similar to the sugar than the acid community, which may be explained by family-level asymmetries in nutrient benefits. Overall, our results suggest that regularities in how nutrients interact may help predict community responses to dietary changes.
摘要：
微生物群落生态学中的一个主要悬而未决的问题是，我们是否可以预测饮食的成分如何共同决定微生物群落的分类组成。受到这个挑战的激励，我们调查是否可以从每种单独的营养素中聚集的群落中预测。我们发现，尽管null，自然加性模型通常可以很好地预测家庭水平的社区组成，与反映家庭水平养分优势的一般模式的加性预测存在系统偏差。对更相似的营养素（例如两种糖）平均比对更不相似的营养素（一种糖-一种有机酸）具有更多的添加剂。此外，糖-酸群落通常比酸群落更类似于糖，这可以解释为家庭水平的营养益处不对称。总的来说,我们的研究结果表明,营养素相互作用的规律可能有助于预测社区对饮食变化的反应.
