Department of Quantitative Biomedicine, University of Zürich, Zürich, Switzerland
Department of Quantitative Biomedicine, University of Zürich, Zürich, Switzerland.
Appl Environ Microbiol. 2020 Sep 1;86(18). doi: 10.1128/AEM.00962-20.
Bacterial communities in the environment and in infections are typically diverse, yet we know little about the factors that determine interspecies interactions. Here, we apply concepts from ecological theory to understand how biotic and abiotic factors affect interaction patterns between the two opportunistic human pathogens and , which often cooccur in polymicrobial infections. Specifically, we conducted a series of short- and long-term competition experiments between PAO1 (as our reference strain) and three different strains (Cowan I, 6850, and JE2) at three starting frequencies and under three environmental (culturing) conditions. We found that the competitive ability of strongly depended on the strain background of , whereby dominated against Cowan I and 6850 but not against JE2. In the latter case, both species could end up as winners depending on conditions. Specifically, we observed strong frequency-dependent fitness patterns, including positive frequency dependence, where could dominate JE2 only when common (not when rare). Finally, changes in environmental (culturing) conditions fundamentally altered the competitive balance between the two species in a way that dominance increased when moving from shaken to static environments. Altogether, our results highlight that ecological details can have profound effects on the competitive dynamics between coinfecting pathogens and determine whether two species can coexist or invade each others' populations from a state of rare frequency. Moreover, our findings might parallel certain dynamics observed in chronic polymicrobial infections. Bacterial infections are frequently caused by more than one species, and such polymicrobial infections are often considered more virulent and more difficult to treat than the respective monospecies infections. and are among the most important pathogens in polymicrobial infections, and their cooccurrence is linked to worse disease outcome. There is great interest in understanding how these two species interact and what the consequences for the host are. While previous studies have mainly looked at molecular mechanisms implicated in interactions between and , here we show that ecological factors, such as strain background, species frequency, and environmental conditions, are important elements determining population dynamics and species coexistence patterns. We propose that the uncovered principles also play major roles in infections and, therefore, proclaim that an integrative approach combining molecular and ecological aspects is required to fully understand polymicrobial infections.
环境和感染中的细菌群落通常是多样的,但我们对决定种间相互作用的因素知之甚少。在这里,我们应用生态理论的概念来理解生物和非生物因素如何影响两种机会性病原体 和 的相互作用模式,这两种病原体通常在混合感染中共同出现。具体来说,我们在三种起始频率和三种环境(培养)条件下,在 PAO1(作为我们的参考菌株)和三种不同的 菌株(Cowan I、6850 和 JE2)之间进行了一系列短期和长期竞争实验。我们发现 的竞争能力 强烈依赖于 的菌株背景,其中 对 Cowan I 和 6850 具有优势,但对 JE2 没有优势。在后一种情况下,两种物种都可以根据条件成为赢家。具体来说,我们观察到强烈的频率依赖适应性模式,包括正频率依赖性,即 只有在共同存在(而不是稀少时)时才能对 JE2 产生优势。最后,环境(培养)条件的变化从根本上改变了两种物种之间的竞争平衡,当从摇动环境转移到静态环境时, 优势增加。总的来说,我们的结果强调了生态细节对感染病原体之间竞争动态的深远影响,并确定了两种物种是否可以共存,或者从稀有频率状态下是否可以相互入侵对方种群。此外,我们的发现可能与慢性混合感染中观察到的某些动态相似。细菌感染通常由一种以上的物种引起,这种混合感染通常比各自的单物种感染更具毒性和更难治疗。 和 是混合感染中最重要的病原体之一,它们的共同出现与更差的疾病结局有关。人们非常有兴趣了解这两种物种如何相互作用以及对宿主的后果是什么。虽然以前的研究主要关注于 与 相互作用中涉及的分子机制,但在这里我们表明,生态因素,如菌株背景、物种频率和环境条件,是决定种群动态和物种共存模式的重要因素。我们提出,所揭示的原则在感染中也起着主要作用,因此,我们宣称需要结合分子和生态方面的综合方法来全面理解混合感染。