Metaanalysis of Public Wastewater Metagenomes: Revealing the Influence of Climatic Variations on the Abundance of the Bacterial Members

R. Karmakar, Kaustav Mondal, Mahashweta Mitra Ghosh
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Abstract

As per the present trend, earth may experience severe hike in temperature by 2040. Therefore, global surveillance is required to combat against the upcoming climatic extremities. Emerging and re-emerging infectious diseases are part of the key pressing issues which can affect millions of people worldwide. Wastewater associated metagenomic data representing the wastewater samples collected from sewer networks in Newcastle (United Kingdom); Zimbabwe (Africa) and West Bengal (India), available in public databases were collected. It was observed that of the top 10 abundant genera, the prevalent genera in samples from United Kingdom, Africa, India were Desulfitobacterium, Prevotella, Sulfurospirillum respectively. By comparing all the three samples under study; it was observed that three microbial genera Bacteroides, Dechloromonas and Faecalibacterium were common throughout the samples. Metagenome-wide association studies were conducted to link microbes in the sample to the host disorders. Our study could predict overexpression of several enriched pathways like Vancomycin resistance, Platinum drug resistance across the samples. These findings prove efficacies of the community genomics approach to serve as a public health monitoring tool through detection of spatial variation as well as degree of commonness in wastewater bacterial profiles and also through the prediction of the pathogenic quantum of wastewater systems.
公共污水元基因组的元分析:揭示气候变异对细菌成员丰度的影响
根据目前的趋势,到 2040 年,地球气温可能会严重升高。因此,需要进行全球监测,以应对即将到来的极端气候。新发和复发的传染病是影响全球数百万人的主要紧迫问题之一。研究人员收集了从英国纽卡斯尔、非洲津巴布韦和印度西孟加拉邦的下水道网络收集到的与废水相关的元基因组数据,这些数据可在公共数据库中找到。研究发现,在英国、非洲和印度的样本中,含量最高的 10 个菌属分别是脱硫杆菌属、普雷沃特氏菌属和硫螺旋体属。通过比较研究中的所有三个样本,发现三个微生物属 Bacteroides、Dechloromonas 和 Faecalibacterium 在所有样本中都很常见。为了将样本中的微生物与宿主疾病联系起来,我们进行了元基因组关联研究。我们的研究可以预测样本中万古霉素耐药性、白金耐药性等几种富集途径的过度表达。这些发现证明了社区基因组学方法的有效性,它可以通过检测废水细菌特征的空间变化和共性程度,以及通过预测废水系统的致病量,作为一种公共卫生监测工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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