Department of Bioengineering, Stanford University, Stanford, CA, USA.
Department of Physics, Stanford University, Stanford, CA, USA.
Nat Commun. 2023 Apr 26;14(1):2398. doi: 10.1038/s41467-023-37895-x.
Antibiotic treatment significantly impacts the human gut microbiota, but quantitative understanding of how antibiotics affect community diversity is lacking. Here, we build on classical ecological models of resource competition to investigate community responses to species-specific death rates, as induced by antibiotic activity or other growth-inhibiting factors such as bacteriophages. Our analyses highlight the complex dependence of species coexistence that can arise from the interplay of resource competition and antibiotic activity, independent of other biological mechanisms. In particular, we identify resource competition structures that cause richness to depend on the order of sequential application of antibiotics (non-transitivity), and the emergence of synergistic and antagonistic effects under simultaneous application of multiple antibiotics (non-additivity). These complex behaviors can be prevalent, especially when generalist consumers are targeted. Communities can be prone to either synergism or antagonism, but typically not both, and antagonism is more common. Furthermore, we identify a striking overlap in competition structures that lead to non-transitivity during antibiotic sequences and those that lead to non-additivity during antibiotic combination. In sum, our results establish a broadly applicable framework for predicting microbial community dynamics under deleterious perturbations.
抗生素治疗会显著影响人类肠道微生物群,但对于抗生素如何影响群落多样性的定量理解还很缺乏。在这里,我们基于资源竞争的经典生态学模型,研究了抗生素活性或其他生长抑制因子(如噬菌体)诱导的物种特异性死亡率对群落响应的影响。我们的分析强调了物种共存的复杂依赖性,这种依赖性可能源于资源竞争和抗生素活性的相互作用,而与其他生物学机制无关。特别是,我们确定了导致丰度取决于抗生素顺序应用(非传递性)的资源竞争结构,以及在同时应用多种抗生素时出现协同和拮抗作用(非加性)的情况。这些复杂的行为可能很普遍,尤其是当针对的是一般消费者时。群落可能容易受到协同作用或拮抗作用的影响,但通常不是两者都有,而拮抗作用更为常见。此外,我们还发现,在抗生素序列中导致非传递性的竞争结构与在抗生素组合中导致非加性的竞争结构之间存在惊人的重叠。总之,我们的结果为预测有害扰动下的微生物群落动态建立了一个广泛适用的框架。