Engineering an incubation environment that mimics in situ conditions for in vitro coastal microbiome studies.
Engineering an incubation environment that mimics in situ conditions for in vitro coastal microbiome studies.
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DOI：
10.2144/btn-2022-0080
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发表时间：
2022-10
期刊：
影响因子：
2.7
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中科院分区：
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沿海环境是动态的，根据地点和天气的不同，在短期或长期范围内可能会有很大的差异。通过可编程的梯度光和温度循环反映这些变化的培养设备将允许进行更精确的沿海微生物组体外研究。在这里，我们提供了一个开源的孵化环境，它模拟了用于体外海岸微生物组研究的现场条件，使用了改装的摇动水浴，该水浴具有完全可定制的温度和光线梯度，也可以模拟实时的现场条件。我们比较了现场培养和我们的建筑模拟现场条件超过48小时的沿海微生物群落图谱。一致性分析表明，在每个时间点，现场培养的微生物群落和体外培养的微生物群落之间存在显著重叠(p<0.2)。我们提出了修改摇动水浴的原理图，该水浴可以编程来调制0到160Mol/m2/S的光合作用有效辐射，以及2到100C的温度循环，当数据可用时，可以使用实时温度数据来模拟当前的场条件来调整温度循环。这一功能允许进行微生物组研究，其中波动的光和温度条件对实验条件至关重要。修改摇动水浴，可编程为具有完全可定制的梯度光和温度循环，从2至100摄氏度，或可从现场数据刮取和模拟当前的现场条件，当数据可用时。
Coastal environments are dynamic and can vary widely on short- or long-term scales depending on location and weather. Incubation equipment that reflects these changes through programmable gradient light and temperature cycles would permit more precise in vitro coastal microbiome studies. Here we present an open-source incubation environment that mimics in situ conditions for in vitro coastal microbiome studies using a modified shaking water bath that has fully customizable temperature and light gradients that can also mimic real-time field conditions. We compared coastal microbial community profiles incubated in situ and in our build mimicking field conditions over 48 h. Analyses of congruence indicated significant overlap (p > 0.2) between microbial communities incubated in situ and in vitro at each time point. We present schematics for modifying a shaking water bath that can be programmed to modulate photosynthetically active radiation from 0 to 160 μmol/m2/s as well as temperature cycling from 2 to 100 °C, which can be adjusted using live temperature data to mimic current field conditions, when data are available. This functionality permits microbiome studies where fluctuating light and temperature conditions are crucial for experimental conditions. Modification of a shaking water bath that can be programmed to have a fully customizable gradient light and temperature cycling from 2 to 100 °C, or that can scrape live data from and mimic current field conditions, when data are available.