Using patterns of shared taxa to infer bacterial dispersal in human living environment in urban and rural areas.

IF 3.9 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Applied and Environmental Microbiology Pub Date : 2024-10-23 Epub Date: 2024-09-04 DOI:10.1128/aem.00903-24
M Grönroos, A Jumpponen, M I Roslund, N Nurminen, S Oikarinen, A Parajuli, O H Laitinen, O Cinek, L Kramna, J Rajaniemi, H Hyöty, R Puhakka, A Sinkkonen
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Abstract

Contact with environmental microbial communities primes the human immune system. Factors determining the distribution of microorganisms, such as dispersal, are thus important for human health. Here, we used the relative number of bacteria shared between environmental and human samples as a measure of bacterial dispersal and studied these associations with living environment and lifestyles. We analyzed amplicon sequence variants (ASVs) of the V4 region of 16S rDNA gene from 347 samples of doormat dust as well as samples of saliva, skin swabs, and feces from 53 elderly people in urban and rural areas in Finland at three timepoints. We first enumerated the ASVs shared between doormat and one of the human sample types (i.e., saliva, skin swab, or feces) of each individual subject and calculated the shared ASVs as a proportion of all ASVs in the given sample type of that individual. We observed that the patterns for the proportions of shared ASVs differed among seasons and human sample type. In skin samples, there was a negative association between the proportion of shared ASVs and the coverage of built environment (a proxy for degree of urbanization), whereas in saliva data, this association was positive. We discuss these findings in the context of differing species pools in urban and rural environments.

Importance: Understanding how environmental microorganisms reach and interact with humans is a key question when aiming to increase human contacts with natural microbiota. Few methods are suitable for studying microbial dispersal at relatively large spatial scales. Thus, we tested an indirect method and studied patterns of bacterial taxa that are shared between humans and their living environment.

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利用共享类群模式推断城乡地区人类生活环境中的细菌散播情况。
与环境中的微生物群落接触会激发人体的免疫系统。因此,决定微生物分布的因素(如扩散)对人类健康非常重要。在这里,我们使用环境样本和人体样本中共享细菌的相对数量来衡量细菌的散布情况,并研究这些散布情况与生活环境和生活方式的关系。我们分析了芬兰城市和农村地区 53 位老人在三个时间点的 347 份门垫灰尘样本以及唾液、皮肤拭子和粪便样本中 16S rDNA 基因 V4 区域的扩增子序列变异(ASV)。我们首先列举了每个受试者的门垫样本和其中一种人类样本(即唾液、皮肤拭子或粪便)之间共享的 ASV,并将共享的 ASV 计算为该受试者给定样本类型中所有 ASV 的比例。我们观察到,不同季节和不同人类样本类型中的共享 ASV 比例模式各不相同。在皮肤样本中,共用 ASV 的比例与建筑环境覆盖率(城市化程度的代表)呈负相关,而在唾液数据中,这种关联呈正相关。我们结合城市和农村环境中不同的物种库讨论了这些发现:了解环境微生物如何到达人类并与人类相互作用,是旨在增加人类与自然微生物群接触的一个关键问题。很少有方法适合在相对较大的空间范围内研究微生物的扩散。因此,我们测试了一种间接方法,并研究了人类与其生活环境共享的细菌类群模式。
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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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