The active human gut microbiota differs from the total microbiota.
The active human gut microbiota differs from the total microbiota.
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DOI：
10.1371/journal.pone.0022448
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
D'Auria G
中科院分区：
文献类型：
--
作者：
Peris-Bondia F;Latorre A;Artacho A;Moya A;D'Auria G
人类肠道微生物群被认为是微生物多样性的最迷人的水库之一，拥有分布在9个门中的400至1000种细菌物种，其中厚壁菌门，拟杆菌门和放线菌门代表了多样性。最有趣的问题之一涉及了解哪些微生物群是维持微生物群稳态的积极参与者。在这里，我们描述了活性微生物组分的多样性与整个社区相比，从原始人类粪便样品。我们用16 SrDNA焦磷酸测序法对4名健康志愿者进行了研究。通过基于细菌RNA浓度的细胞分选获得级分。应用细胞分选方法观察细菌家族的出现或消失，其中使用流式细胞术通过RNA的派洛宁-Y染色来评价活性细胞。这种方法能够检测到活性细菌，表明活性细菌与在原始粪便材料中观察到的不同。通常，观察结果显示，在活性级分中，与拟杆菌门相关的读数数量减少，而来自梭菌目（厚壁菌门）的几个家族的代表性更高。此外，当应用细胞分选时，大量的家族作为活性部分的一部分出现，这表明读段在统计学上被总读段隐藏。
The human gut microbiota is considered one of the most fascinating reservoirs of microbial diversity hosting between 400 to 1000 bacterial species distributed among nine phyla with Firmicutes, Bacteroidetes and Actinobacteria representing around of the diversity. One of the most intriguing issues relates to understanding which microbial groups are active players in the maintenance of the microbiota homeostasis. Here, we describe the diversity of active microbial fractions compared with the whole community from raw human fecal samples. We studied four healthy volunteers by 16S rDNA gene pyrosequencing. The fractions were obtained by cell sorting based on bacterial RNA concentration. Bacterial families were observed to appear or disappear on applying a cell sorting method in which flow cytometry was used to evaluate the active cells by pyronin-Y staining of RNA. This method was able to detect active bacteria, indicating that the active players differed from that observed in raw fecal material. Generally, observations showed that in the active fractions, the number of reads related to Bacteroidetes decreased whereas several families from Clostridiales (Firmicutes) were more highly represented. Moreover, a huge number of families appeared as part of the active fraction when cell sorting was applied, indicating reads that are simply statistically hidden by the total reads.
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影响因子：
12.3
作者：
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者：
Zhang J
影响因子：
24.5
作者：
Furrie, E
通讯作者：
Furrie, E
影响因子：
4.5
作者：
Collins, S. M.;Denou, E.;Bercik, P.
通讯作者：
Bercik, P.
影响因子：
5.1
作者：
Gentile, Gabriella;Giuliano, Laura;Yakimov, Michail M.
通讯作者：
Yakimov, Michail M.
影响因子：
2.9
作者：
Garnova, ES;Zhilina, TN;Lysenko, AM
通讯作者：
Lysenko, AM