Fitness effects of plasmids shape the structure of bacteria-plasmid interaction networks.

Fitness effects of plasmids shape the structure of bacteria-plasmid interaction networks.
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DOI:
10.1073/pnas.2118361119
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发表时间:
2022-05-31
影响因子:
11.1
通讯作者:
Sanders, Dirk
Sanders, Dirk
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Newbury, Arthur;Dawson, Beth;Umper, Uli Kl;Hesse, Elze;Castledine, Meaghan;Fontaine, Colin;Buckling, Angus;Sanders, Dirk

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抗生素耐药性(AMR)是现代医学面临的一个重大挑战。质粒载体是抗生素抗性基因的重要载体。疟原虫可以对它们的宿主产生依赖于环境的影响,通常会减缓它们的生长速度,但也可以提供保护,免受特定抗生素和重金属的侵害。因此,基于物种间相互作用预测种群密度的模型对于解释质粒动力学是有用的。在这里,我们用一个简单的生态模型预测宿主的特性(例如,细菌)和共生体(例如,质粒)相互作用网络。使用实验微生物群落和接合质粒,我们证实了我们的预测,有益的共生体传播更广泛地通过微生物群落和网络生态学家寻求发现生态网络结构的决定因素提供了关键的实验结果。抗菌素耐药(AMR)基因通常携带在广泛的宿主范围质粒上,因此AMR在微生物群落中的传播将取决于细菌-质粒网络的结构。对生态相互作用网络的经验和理论研究表明,网络结构在主要是互利与对抗的社区之间存在差异,前者表现出更普遍的相互作用(即,物种之间的相互作用程度相似)。这表明,互利细菌质粒网络-抗生素存在和质粒携带AMR基因-将比拮抗相互作用更普遍,其中质粒不赋予其宿主益处。我们首先发展一个简单的理论来解释这种联系:健康的好处,窝藏互惠共生体促进共生体的传播到其他物种。我们发现支持这一理论使用实验细菌共生体(质粒)社区,其中相同的质粒可以是互利或拮抗抗生素的存在下。这种短期和吝啬的机制补充了一个长期的机制(共同进化和稳定性),解释了互利和对抗的相互作用和网络结构之间的联系。
Antimicrobial resistance (AMR) poses a great challenge for modern medicine. Plasmids are important vectors of antibiotic resistance genes. Plasmids can have context-dependent effects on their hosts, generally slowing their growth rate but also providing protection from specific antibiotics and heavy metals. Thus, models that predict population densities based on interactions between species are useful for explaining plasmid dynamics. Here, we predict with a simple ecological model the properties of a host (e.g., bacteria) and symbiont (e.g., plasmid) interaction network. Using experimental microbial communities and a conjugative plasmid, we confirm our predictions that beneficial symbionts spread more widely through a microbial community and provide key experimental results for network ecologists seeking to uncover the determinants of ecological network structure. Antimicrobial resistance (AMR) genes are often carried on broad host range plasmids, and the spread of AMR within microbial communities will therefore depend on the structure of bacteria–plasmid networks. Empirical and theoretical studies of ecological interaction networks suggest that network structure differs between communities that are predominantly mutualistic versus antagonistic, with the former showing more generalized interactions (i.e., species interact with many others to a similar extent). This suggests that mutualistic bacteria–plasmid networks—where antibiotics are present and plasmids carry AMR genes—will be more generalized than antagonistic interactions, where plasmids do not confer benefits to their hosts. We first develop a simple theory to explain this link: fitness benefits of harboring a mutualistic symbiont promote the spread of the symbiont to other species. We find support for this theory using an experimental bacteria–symbiont (plasmid) community, where the same plasmid can be mutualistic or antagonistic depending on the presence of antibiotics. This short-term and parsimonious mechanism complements a longer-term mechanism (coevolution and stability) explaining the link between mutualistic and antagonistic interactions and network structure.
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