Enterotypes of the human gut microbiome.

Enterotypes of the human gut microbiome.
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DOI:
10.1038/nature09944
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发表时间:
2011-05-12
期刊:
影响因子:
64.8
通讯作者:
Bork, Peer
Bork, Peer
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Arumugam, Manimozhiyan;Raes, Jeroen;Pelletier, Eric;Le Paslier, Denis;Yamada, Takuji;Mende, Daniel R.;Fernandes, Gabriel R.;Tap, Julien;Bruls, Thomas;Batto, Jean-Michel;Bertalan, Marcelo;Borruel, Natalia;Casellas, Francesc;Fernandez, Leyden;Gautier, Laurent;Hansen, Torben;Hattori, Masahira;Hayashi, Tetsuya;Kleerebezem, Michiel;Kurokawa, Ken;Leclerc, Marion;Levenez, Florence;Manichanh, Chaysavanh;Nielsen, H. Bjorn;Nielsen, Trine;Pons, Nicolas;Poulain, Julie;Qin, Junjie;Sicheritz-Ponten, Thomas;Tims, Sebastian;Torrents, David;Ugarte, Edgardo;Zoetendal, Erwin G.;Wang, Jun;Guarner, Francisco;Pedersen, Oluf;de Vos, Willem M.;Brunak, Soren;Dore, Joel;Weissenbach, Jean;Ehrlich, S. Dusko;Bork, Peer

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我们关于人类肠道微生物组的物种和功能组成的知识正在迅速增加,但它仍然是基于极少数的队列,而且对它们在世界各地的变异知之甚少。结合来自4个国家的22个新测序的个体粪便元基因组与之前发表的数据集,我们识别了三个不特定于国家或大陆的强健簇(下文中的肠型)。我们还在两个已发表的更大的队列中证实了肠型,这表明肠道微生物区系的变化通常是分层的,而不是连续的。这进一步表明,存在数量有限的平衡良好的宿主-微生物共生状态,它们可能对饮食和药物摄入做出不同的反应。肠型主要由物种组成驱动,但丰富的分子功能并不一定由丰富的物种提供,这突显了功能分析对群落理解的重要性。虽然单个宿主属性,如体重指数、年龄或性别不能解释观察到的肠型,但可以为这些宿主属性中的每一个确定数据驱动的标记基因或功能模块。例如,12个基因与年龄显著相关,3个功能模块与体重指数相关,这暗示了微生物标志物的诊断潜力。
Our knowledge on species and function composition of the human gut microbiome is rapidly increasing, but it is still based on very few cohorts and little is known about their variation across the world. Combining 22 newly sequenced fecal metagenomes of individuals from 4 countries with previously published datasets, we identified three robust clusters (enterotypes hereafter) that are not nation or continent-specific. We confirmed the enterotypes also in two published, larger cohorts suggesting that intestinal microbiota variation is generally stratified, not continuous. This further indicates the existence of a limited number of well-balanced host-microbial symbiotic states that might respond differently to diet and drug intake. The enterotypes are mostly driven by species composition, but abundant molecular functions are not necessarily provided by abundant species, highlighting the importance of a functional analysis for a community understanding. While individual host properties such as body mass index, age, or gender cannot explain the observed enterotypes, data-driven marker genes or functional modules can be identified for each of these host properties. For example, twelve genes significantly correlate with age and three functional modules with the body mass index, hinting at a diagnostic potential of microbial markers.
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