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Comparison of Sewage and Animal Fecal Microbiomes by Using Oligotyping Reveals Potential Human Fecal Indicators in Multiple Taxonomic Groups

机译:通过寡聚法比较污水和动物粪便微生物组,揭示了多个分类组中潜在的人类粪便指标

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Most DNA-based microbial source tracking (MST) approaches target host-associated organisms within the order Bacteroidales , but the gut microbiota of humans and other animals contain organisms from an array of other taxonomic groups that might provide indicators of fecal pollution sources. To discern between human and nonhuman fecal sources, we compared the V6 regions of the 16S rRNA genes detected in fecal samples from six animal hosts to those found in sewage (as a proxy for humans). We focused on 10 abundant genera and used oligotyping, which can detect subtle differences between rRNA gene sequences from ecologically distinct organisms. Our analysis showed clear patterns of differential oligotype distributions between sewage and animal samples. Over 100 oligotypes of human origin occurred preferentially in sewage samples, and 99 human oligotypes were sewage specific. Sequences represented by the sewage-specific oligotypes can be used individually for development of PCR-based assays or together with the oligotypes preferentially associated with sewage to implement a signature-based approach. Analysis of sewage from Spain and Brazil showed that the sewage-specific oligotypes identified in U.S. sewage have the potential to be used as global alternative indicators of human fecal pollution. Environmental samples with evidence of prior human fecal contamination had consistent ratios of sewage signature oligotypes that corresponded to the trends observed for sewage. Our methodology represents a promising approach to identifying new bacterial taxa for MST applications and further highlights the potential of the family Lachnospiraceae to provide human-specific markers. In addition to source tracking applications, the patterns of the fine-scale population structure within fecal taxa suggest a fundamental relationship between bacteria and their hosts.
机译:大多数基于DNA的微生物来源跟踪(MST)均以细菌科为目标,与目标宿主相关的生物体为目标,但人类和其他动物的肠道菌群中含有来自其他分类群的生物体,这些生物体可能提供了粪便污染源的指标。为了区分人类和非人类的粪便来源,我们比较了从六种动物宿主的粪便样本中检测到的16S rRNA基因的V6区域与在污水中发现的16S rRNA基因的V6区域(作为人类的代理)。我们集中研究了10个丰富的属,并进行了寡聚分析,它们可以检测生态学上不同的生物的rRNA基因序列之间的细微差异。我们的分析表明,污水和动物样本之间的差异型分布明显不同。污水样本中优先出现了100多种人类起源的寡聚体,其中99种人类寡聚体是污水特异性的。由污水特异性寡核苷酸代表的序列可单独用于开发基于PCR的检测方法,也可与优先与污水相关的寡核苷酸一起使用,以实现基于特征的方法。对来自西班牙和巴西的污水的分析表明,在美国污水中发现的特定于污水的寡聚体有可能被用作人类粪便污染的全球替代指标。具有先前人类粪便污染证据的环境样品具有一致的污水特征低聚物比率,与观察到的污水趋势相对应。我们的方法论代表了一种有潜力的方法,可为MST应用鉴定新的细菌类群,并进一步凸显了漆鞭草科提供人类特异性标记物的潜力。除了源跟踪应用程序外,粪便分类群中的小规模种群结构模式还表明细菌与其宿主之间存在基本关系。

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