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首页> 外文期刊>Applied Microbiology >Shotgun Metagenomic Profiles Have a High Capacity To Discriminate Samples of Activated Sludge According to Wastewater Type
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Shotgun Metagenomic Profiles Have a High Capacity To Discriminate Samples of Activated Sludge According to Wastewater Type

机译：弹枪的基因组图谱具有根据废水类型区分活性污泥样品的高能力

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This study was conducted to investigate whether functions encoded in the metagenome could improve our ability to understand the link between microbial community structures and functions in activated sludge. By analyzing data sets from six industrial and six municipal wastewater treatment plants (WWTPs), covering different configurations, operational conditions, and geographic regions, we found that wastewater influent composition was an overriding factor shaping the metagenomic composition of the activated sludge samples. Community GC content profiles were conserved within treatment plants on a time scale of years and between treatment plants with similar influent wastewater types. Interestingly, GC contents of the represented phyla covaried with the average GC contents of the corresponding WWTP metagenome. This suggests that the factors influencing nucleotide composition act similarly across taxa and thus the variation in nucleotide contents is driven by environmental differences between WWTPs. While taxonomic richness and functional richness were correlated, shotgun metagenomics complemented taxon-based analyses in the task of classifying microbial communities involved in wastewater treatment systems. The observed taxonomic dissimilarity between full-scale WWTPs receiving influent types with varied compositions, as well as the inferred taxonomic and functional assignment of recovered genomes from each metagenome, were consistent with underlying differences in the abundance of distinctive sets of functional categories. These conclusions were robust with respect to plant configuration, operational and environmental conditions, and even differences in laboratory protocols.IMPORTANCE This work contributes to the elucidation of drivers of microbial community assembly in wastewater treatment systems. Our results are significant because they provide clear evidence that bacterial communities in WWTPs assemble mainly according to influent wastewater characteristics. Differences in bacterial community structures between WWTPs were consistent with differences in the abundance of distinctive sets of functional categories, which were related to the metabolic potential that would be expected according to the source of the wastewater.
机译：进行这项研究的目的是调查元基因组中编码的功能是否可以提高我们了解微生物群落结构与活性污泥功能之间联系的能力。通过分析来自六个工业和六个市政废水处理厂（WWTP）的数据集，这些数据集涵盖了不同的配置，运行条件​​和地理区域，我们发现废水进水成分是决定活性污泥样品宏基因组组成的首要因素。社区气相色谱含量分布图在处理厂中以年为单位的时间尺度以及在具有相似进水废水类型的处理厂之间得以保存。有趣的是，所表示门的GC含量与相应的WWTP元基因组的平均GC含量存在协变量。这表明影响核苷酸组成的因素在整个分类单元中的作用相似，因此核苷酸含量的变化是由污水处理厂之间的环境差异驱动的。虽然分类学丰富度和功能丰富度是相关的，但shot弹枪宏基因组学补充了基于分类群的分析，以对废水处理系统中涉及的微生物群落进行分类。观察到的不同进水类型，组成各不相同的全面污水处理厂之间的分类学差异，以及从每个元基因组中回收的基因组的推断分类学和功能分配，与功能性独特组的丰富性的潜在差异是一致的。这些结论在工厂配置，操作和环境条件，甚至实验室规程方面的差异方面都是可靠的。重要信息这项工作有助于阐明废水处理系统中微生物群落组装的驱动因素。我们的结果之所以有意义，是因为它们提供了明确的证据，表明污水处理厂中的细菌群落主要根据进水废水的特征而聚集。污水处理厂之间细菌群落结构的差异与不同功能类别集的丰度差异相一致，这与根据废水来源预期的代谢潜力有关。

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