Streets are constantly crossed by billions of vehicles and pedestrians. Their gutters, which convey stormwater and contribute to waste management, and are important for human health and well-being, probably play a number of ecological roles. Street surfaces may also represent an important part of city surface areas. To better characterize the ecology of this yet poorly explored compartment, we used filtration and DNA metabarcoding to address microbial community composition and assembly across the city of Paris, France. Diverse bacterial and eukaryotic taxonomic groups were identified, including members involved in key biogeochemical processes, along with a number of parasites and putative pathogens of human, animals and plants. We showed that the beta diversity patterns between bacterial and eukaryotic communities were correlated, suggesting interdomain associations. Beta diversity analyses revealed the significance of biotic factors (cohesion metrics) in shaping gutter microbial community assembly and, to a lesser extent, the contribution of abiotic factors (pH and conductivity). Co-occurrences analysis confirmed contrasting non-random patterns both within and between domains of life, specifically when comparing diatoms and fungi. Our results highlight microbial coexistence patterns in streets and reinforce the need to further explore biodiversity in urban ground transportation infrastructures.

中文翻译：

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城市街道垫域间分类模式分析。

数十亿车辆和行人不断穿过街道。它们的排水沟可能会起到许多生态作用，这些排水沟输送雨水并有助于废物管理，对人类健康和福祉至关重要。街道表面也可能代表城市表面区域的重要部分。为了更好地描述这个尚未充分探索的隔间的生态特征，我们使用了过滤和DNA元条形码技术来解决法国巴黎市内微生物群落的组成和组装问题。确定了不同的细菌和真核生物分类群，包括参与关键生物地球化学过程的成员，以及人类，动物和植物的许多寄生虫和推定的病原体。我们发现细菌和真核生物群落之间的β多样性模式是相关的，建议域间关联。Beta多样性分析揭示了生物因素（内聚性指标）在塑造排水沟微生物群落组装中的重要性，并在较小程度上说明了非生物因素（pH和电导率）的贡献。共生分析证实了生命域内和生命域之间的非随机模式的对比，特别是在比较硅藻和真菌时。我们的结果突出了街道上微生物的共存模式，并强调了在城市地面交通基础设施中进一步探索生物多样性的必要性。共生分析证实了生命域内和生命域之间的非随机模式的对比，特别是在比较硅藻和真菌时。我们的结果突出了街道上微生物的共存模式，并强调了在城市地面交通基础设施中进一步探索生物多样性的必要性。共生分析证实了生命域内和生命域之间的非随机模式的对比，特别是在比较硅藻和真菌时。我们的结果突出了街道上微生物的共存模式，并强调了在城市地面交通基础设施中进一步探索生物多样性的必要性。