确定特拉华州流域潜在的外来污染源和自然污染源。

IF 3.9 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Applied and Environmental Microbiology Pub Date : 2024-11-11 DOI:10.1128/aem.01958-24
Malique Bowen, Christopher R Main, Ibrahim F Farag, Jennifer F Biddle
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引用次数: 0

摘要

由肠球菌引起的微生物污染对水质的管理提出了独特的挑战,即如何确定粪便宿主的来源。大多数水质监测都是根据肠球菌计数进行的,既无法检测到污染源的位置,也无法确定污染肠球菌的类型。使用基于测序的微生物源追踪技术可以确定粪便来源,并对污染进行潜在的补救。特拉华州有许多来源不明的水道存在严重的微生物污染,因此我们使用基于序列的微生物源追踪技术来调查土地利用和人口密度差异显著的三个流域的潜在微生物污染情况。在这项研究中,我们利用来自相关粪便来源(野生动物、家畜、沉积物和化粪池/废水)的微生物群落的 16S rRNA 序列参考文献库来确定特拉华州三个流域最有可能的微生物污染源。这项研究将微生物污染源归类为主要与人类有关的污染源(化粪池和废水)或未知污染源,这表明废物基础设施对特拉华州流域微生物群落结构的影响可能比以前认为的要大。我们的研究结果表明,长期的污染源追踪对于排除本地或驯养动物作为水污染的贡献者很有价值。重要意义传统的微生物污染监测利用特定的粪便指示菌,这种指示菌需要在实验室中生长才能进行检测。在这里,我们展示了如何利用整个微生物群落的序列信息和扩充的参考文献库来进行微生物源追踪。通过纳入整个微生物群落来扩大宿主检测范围,即使在没有特定粪便指示菌或粪便指示菌浓度较低的情况下,也能对潜在的粪便来源进行更广泛的鉴定。我们的研究表明,与自然水源相比,特拉华州的许多水道都带有人类影响的特征。此外,本研究建立的强大参考库还可用于在美国大西洋中部地区开展污染源追踪研究。
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Identifying potential introduced and natural sources of pollution in Delaware watersheds.

Managing water quality with microbial impairment caused by Enterococcus poses unique challenges regarding the determination of fecal host origin. Most water monitoring is performed based on Enterococcus counts that neither detect the location of the introduction of pollution nor identify the type of contaminating Enterococcus. The use of sequenced-based microbial source tracking could allow for identification of fecal origin and potential remediation of pollution. The state of Delaware has numerous waterways with high microbial impairment from unknown sources, so we used sequence-based microbial source tracking to investigate potential microbial pollution in three watersheds with significant variation in land use and population density. In this study, we use a 16S rRNA sequence reference library of microbial communities from relevant fecal sources (wild animal, domestic animal, sediment, and septic/wastewater) to determine the most likely sources of microbial impairment in three Delaware watersheds. This study assigned sources of microbial contamination to mostly human-related sources (septic and wastewater) or unknown sources indicating that waste infrastructure may have a larger influence on microbial community structure in Delaware watersheds than previously considered. Our results suggest that long-term source tracking is valuable for ruling out native or domesticated animals as contributors to water pollution.IMPORTANCETraditional microbial pollution monitoring utilizes specific fecal indicator bacteria that need to grow in the laboratory for detection. Here, we show the use of sequence information from whole microbial communities and an expanded reference library in microbial source tracking. Expanding the host detection range by including the whole microbial community may allow for a wider range of potential fecal origin identification even when specific fecal indicators are absent or in low concentration. We show that many Delaware waterways bear the signature of human influence compared to natural sources. In addition, the robust reference library built in this study can be used to conduct source tracking studies in the mid-Atlantic USA.

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来源期刊
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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