低化学引诱剂浓度下细菌趋化传感器通道容量的研究
An Investigation of the Channel Capacity of Bacterial Chemotactic Sensors for Low Chemoattractant Concentrations
AI总结：
研究低化学引诱剂浓度下细菌趋化传感器通道容量，用异质MWC模型经七维参数扫描计算相关指标，得出更复杂轨迹互信息率上限等结果，强调绘制野外自然化学引诱剂浓度统计的重要性。
摘要：
细菌趋化传感将有噪声的化学信号转换为游动和翻滚。我们使用异质的莫诺德-怀曼-尚热（MWC）模型分析单个大肠杆菌细胞中混合Tar/Tsr化学感受器簇的静态传感极限。在七维参数扫描中，我们计算了三个传感性能指标——通道容量、动态范围和有效希尔系数，此时细胞处于低化学引诱剂浓度下，无需适应新的基线化学引诱剂浓度水平。结果得到了更复杂轨迹互信息率的上限，定量理解了通道容量与动态范围之间的紧密联系，并发现在此情况下通道容量可用仅取决于受体基线活性的闭式上限很好地描述，我们样本中的每个野生型和突变株都能达到百分之几的精度。在更现实的情况下，适应起着更大的作用，以及细菌游动时所看到的化学引诱剂浓度的确切时间动态。因此，本文指出了像对自然场景统计那样绘制野外自然化学引诱剂浓度统计的重要性。
英文摘要：
Bacterial chemotactic sensing converts noisy chemical signals into running and tumbling. We analyze the static sensing limits of mixed Tar/Tsr chemoreceptor clusters in individual \textit{Escherichia coli} cells using a heterogeneous Monod--Wyman--Changeux (MWC) model. Across a seven-dimensional parameter sweep, we compute three sensing-performance metrics -- channel capacity, dynamic range, and effective Hill coefficient -- in the limit that the cells are constantly in such low concentrations of chemoattractant that they need not adapt to new baseline chemoattractant concentration levels. What results are an upper bound on the trajectory mutual information rate given by the static capacity divided by a finite perceptual timescale, a quantitative understanding of the tight connection between channel capacity and dynamic range, and the finding that in this regime channel capacity is well described by a closed-form ceiling depending only on the receptor's baseline activity, which every wild-type and mutant strain in our sample achieves to within a few percent. In more realistic scenarios, adaptation plays a larger role and so do the exact temporal dynamics of chemoattractant concentrations seen by bacteria as they swim. This manuscript thus points to the importance of mapping out naturalistic chemoattractant concentration statistics in the wild as has been done for natural scene statistics.
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