Cruz-Loya Mauricio, Tekin Elif, Kang Tina Manzhu, Cardona Natalya, Lozano-Huntelman Natalie, Rodriguez-Verdugo Alejandra, Savage Van M, Yeh Pamela J
Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angelesgrid.19006.3e, California, USA.
Department of Ecology and Evolutionary Biology, University of California, Los Angelesgrid.19006.3e, California, USA.
mSystems. 2021 Aug 31;6(4):e0022821. doi: 10.1128/mSystems.00228-21. Epub 2021 Jul 20.
Temperature variation-through time and across climatic gradients-affects individuals, populations, and communities. Yet how the thermal response of biological systems is altered by environmental stressors is poorly understood. Here, we quantify two key features-optimal temperature and temperature breadth-to investigate how temperature responses vary in the presence of antibiotics. We use high-throughput screening to measure growth of Escherichia coli under single and pairwise combinations of 12 antibiotics across seven temperatures that range from 22°C to 46°C. We find that antibiotic stress often results in considerable changes in the optimal temperature for growth and a narrower temperature breadth. The direction of the optimal temperature shifts can be explained by the similarities between antibiotic-induced and temperature-induced damage to the physiology of the bacterium. We also find that the effects of pairs of stressors in the temperature response can often be explained by just one antibiotic out of the pair. Our study has implications for a general understanding of how ecological systems adapt and evolve to environmental changes. The growth of living organisms varies with temperature. This dependence is described by a temperature response curve that is described by an optimal temperature where growth is maximized and a temperature range (termed breadth) across which the organism can grow. Because an organism's temperature response evolves or acclimates to its environment, it is often assumed to change over only evolutionary or developmental timescales. Counter to this, we show here that antibiotics can quickly (over hours) change the optimal growth temperature and temperature breadth for the bacterium Escherichia coli. Moreover, our results suggest a shared-damage hypothesis: when an antibiotic damages similar cellular components as hot (or cold) temperatures do, this shared damage will combine and compound to more greatly reduce growth when that antibiotic is administered at hot (or cold) temperatures. This hypothesis could potentially also explain how temperature responses are modified by stressors other than antibiotics.
温度随时间以及跨气候梯度的变化会影响个体、种群和群落。然而,生物系统的热响应如何因环境压力因素而改变,目前仍知之甚少。在此,我们量化两个关键特征——最适温度和温度宽度——以研究在存在抗生素的情况下温度响应如何变化。我们使用高通量筛选来测量大肠杆菌在12种抗生素的单一及两两组合下,于7个温度(范围从22°C至46°C)下的生长情况。我们发现抗生素压力常常导致生长的最适温度发生显著变化,且温度宽度变窄。最适温度变化的方向可以通过抗生素诱导的和温度诱导的对细菌生理损伤之间的相似性来解释。我们还发现,在温度响应中,一对压力因素的影响通常仅由这一对中的一种抗生素就能解释。我们的研究对于全面理解生态系统如何适应和进化以应对环境变化具有启示意义。生物体的生长随温度而变化。这种依赖性由一条温度响应曲线来描述,该曲线由生长最大化时的最适温度以及生物体能够生长的温度范围(称为宽度)来表征。由于生物体的温度响应会进化或适应其环境,通常认为它只会在进化或发育时间尺度上发生变化。与此相反,我们在此表明抗生素能够迅速(在数小时内)改变大肠杆菌的最适生长温度和温度宽度。此外,我们的结果提出了一个共同损伤假说:当一种抗生素对细胞成分造成的损伤与高温(或低温)造成的损伤相似时,这种共同损伤在高温(或低温)下使用该抗生素时会叠加并加剧,从而更大程度地降低生长。这个假说也有可能解释温度响应是如何被除抗生素之外的其他压力因素所改变的。