Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Eur J Clin Invest. 2012 Aug;42(8):855-63. doi: 10.1111/j.1365-2362.2012.02659.x. Epub 2012 Mar 3.
We conducted a pilot study of reproducibility and associations of microbial diversity and composition in faecal microbial DNA.
Participants (25 men and 26 women, aged 17-65 years) provided questionnaire data and multiple samples of one stool collected with two Polymedco and two Sarstedt devices preloaded with RNAlater. 16S rRNA genes in each faecal DNA aliquot were amplified, sequenced (Roche/454 Life Sciences) and assigned to taxa. Devices were compared for ease of use and reproducibility [intraclass correlation coefficient (ICC)] between duplicate aliquots on diversity and taxonomic assignment. Associations were tested by linear regression. Both collection devices were easy to use. Both alpha diversity (Shannon index) and beta diversity (UniFrac) were higher between than within duplicates (P ≤ 10(-8) ) and did not differ significantly by device (P ≥ 0·62). Reproducibility was good (ICC≥0·77) for alpha diversity and taxonomic assignment to the most abundant phyla, Firmicutes and Bacteroidetes (71·5% and 25·0% of sequences, respectively), but reproducibility was low (ICC≤0·48) for less abundant taxa. Alpha diversity was lower with nonantibiotic prescription medication (P = 0·02), with younger age (P = 0·03) and marginally with higher body mass index (P = 0·08).
With sampling from various parts of a stool, both devices provided good reproducibility on overall microbial diversity and classification for the major phyla, but not for minor phyla. Implementation of these methods should provide insights into how broad microbial parameters, but not necessarily rare microbes, affect risk of various conditions.
我们进行了一项粪便微生物 DNA 中微生物多样性和组成的可重复性及相关性的初步研究。
参与者(25 名男性和 26 名女性,年龄 17—65 岁)提供了问卷调查数据和两份粪便样本,这两份样本均使用两个 Polymedco 和两个 Sarstedt 设备采集,每个设备中均预先加载了 RNAlater。每份粪便 DNA 等分试样中的 16S rRNA 基因被扩增、测序(Roche/454 Life Sciences)并分配到分类单元。通过线性回归来检验设备之间的相关性和重复样本之间的多样性和分类单元分配的重现性[组内相关系数(ICC)]。两种采集设备均易于使用。在重复样本之间(P ≤ 10(-8)),α多样性(Shannon 指数)和β多样性(UniFrac)均高于样本内(P ≤ 10(-8)),并且与设备无显著差异(P ≥ 0·62)。α多样性和丰度最高的菌门(Firmicutes 和 Bacteroidetes,分别为 71·5%和 25·0%的序列)的分类单元重现性良好(ICC≥0·77),但丰度较低的分类单元重现性较低(ICC≤0·48)。非抗生素处方药物(P = 0·02)、年龄较小(P = 0·03)和 BMI 略高(P = 0·08)时,α多样性降低。
使用两种设备从粪便的不同部位进行采样,总体微生物多样性和主要菌门的分类重现性良好,但次要菌门的重现性较差。实施这些方法可以深入了解广泛的微生物参数,而不是特定的稀有微生物,如何影响各种疾病的风险。