质粒
生物
背景(考古学)
细菌
抗生素耐药性
微生物种群生物学
人口结构
基因
抗性(生态学)
人口
网络结构
遗传学
计算生物学
生态学
微生物学
作者
Arthur Newbury,Beth Dawson,Uli Klümper,Elze Hesse,Meaghan Castledine,Colin Fontaine,Angus Buckling,Dirk Sanders
标识
DOI:10.1073/pnas.2118361119
摘要
Significance 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.
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