Cross-biome comparison of microbial association networks.
Cross-biome comparison of microbial association networks.
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DOI：
10.3389/fmicb.2015.01200
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发表时间：
2015
影响因子：
5.2
通讯作者：
Raes J
中科院分区：
文献类型：
--
作者：
Faust K;Lima-Mendez G;Lerat JS;Sathirapongsasuti JF;Knight R;Huttenhower C;Lenaerts T;Raes J
临床和环境元组学研究正在广泛的生态系统中积累越来越多的微生物丰度数据。在足够大的样本量下，这些微生物群落可以通过构建和分析共现网络来探索，共现网络可以从丰富的数据中检测类群关联，并可以深入了解群落结构。在这里，我们研究了共生网络在不同生物群系之间的差异，以及哪些其他因素影响了它们的特性。为此，我们从20个不同的16S rDNA测序数据集推断出微生物关联网络，并观察到土壤微生物网络比宿主相关网络具有更少的正关联，并且相互关联的密度更低。在排除样本数量、测序深度和beta多样性作为可能的驱动因素后，我们发现群落均匀度与正边百分比呈负相关。这种相关性可能是由于负相互作用的倾斜分布造成的，负相互作用优先发生在不太普遍的分类群之间。总的来说，我们的研究结果表明，在形成微生物关联网络中，均匀性的作用被低估了。
Clinical and environmental meta-omics studies are accumulating an ever-growing amount of microbial abundance data over a wide range of ecosystems. With a sufficiently large sample number, these microbial communities can be explored by constructing and analyzing co-occurrence networks, which detect taxon associations from abundance data and can give insights into community structure. Here, we investigate how co-occurrence networks differ across biomes and which other factors influence their properties. For this, we inferred microbial association networks from 20 different 16S rDNA sequencing data sets and observed that soil microbial networks harbor proportionally fewer positive associations and are less densely interconnected than host-associated networks. After excluding sample number, sequencing depth and beta-diversity as possible drivers, we found a negative correlation between community evenness and positive edge percentage. This correlation likely results from a skewed distribution of negative interactions, which take place preferentially between less prevalent taxa. Overall, our results suggest an under-appreciated role of evenness in shaping microbial association networks.