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The players may change but the game remains: network analyses of ruminal microbiomes suggest taxonomic differences mask functional similarity

机译:玩家可能会改变但游戏仍然存在:瘤胃微生物群系的网络分析表明分类学差异掩盖了功能相似性

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摘要

By mapping translated metagenomic reads to a microbial metabolic network, we show that ruminal ecosystems that are rather dissimilar in their taxonomy can be considerably more similar at the metabolic network level. Using a new network bi-partition approach for linking the microbial network to a bovine metabolic network, we observe that these ruminal metabolic networks exhibit properties consistent with distinct metabolic communities producing similar outputs from common inputs. For instance, the closer in network space that a microbial reaction is to a reaction found in the host, the lower will be the variability of its enzyme copy number across hosts. Similarly, these microbial enzymes that are nearby to host nodes are also higher in copy number than are more distant enzymes. Collectively, these results demonstrate a widely expected pattern that, to our knowledge, has not been explicitly demonstrated in microbial communities: namely that there can exist different community metabolic networks that have the same metabolic inputs and outputs but differ in their internal structure.
机译:通过将翻译的宏基因组读物映射到微生物代谢网络,我们表明,分类学上相异的瘤胃生态系统在代谢网络水平上可以更加相似。使用新的网络双向划分方法将微生物网络链接到牛代谢网络,我们观察到这些瘤胃代谢网络展现出与不同的代谢群落一致的特性,这些群落从共同的投入中产生相似的输出。例如,微生物反应与宿主中发现的反应在网络空间中越近,则其在宿主之间的酶拷贝数变异性就越低。同样,靠近宿主节点的这些微生物酶的拷贝数也比更远的酶更高。总的来说,这些结果表明了一种广泛预期的模式,据我们所知,尚未在微生物群落中得到明确证明:即,可以存在具有相同代谢输入和输出但内部结构不同的不同群落代谢网络。

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