Sensing complementary temporal features of odor signals enhances navigation of diverse turbulent plumes.
Sensing complementary temporal features of odor signals enhances navigation of diverse turbulent plumes.
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DOI：
10.7554/elife.72415
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发表时间：
2022-01-24
期刊：
影响因子：
7.7
通讯作者：
Emonet T
中科院分区：
文献类型：
--
作者：
Jayaram V;Kadakia N;Emonet T
我们和其他人已经证明，在气味羽流导航过程中，行走的黑腹果蝇会根据其遇到气味的频率（Demir et al., 2020）和气味信号的间歇性（我们将其定义为信号高于检测阈值的时间分数），将其运动偏向逆风（Alvarez-Salvado et al., 2018）。在这里，我们结合并简化了先前概括这些数据的数学模型，以研究感知这些时间特征的好处以及这些好处如何依赖于气味羽流的时空统计数据。通过基于代理的模拟，我们发现仅使用频率或间歇性的导航器在某些环境中表现良好——当增益接近实验推断的结果时实现最大性能——但在其他环境中则失败。跨不同环境的稳健性能需要两种时间模式。然而，我们还发现同时使用两个传感器时存在很大的权衡，这表明调节每个传感器的权重比在羽流中以固定组合使用这两个传感器有很大的好处。最后，我们表明果蝇嗅觉外围的电路自然地能够同时进行间歇性和频率传感，从而增强了在各种气味环境中的稳健导航。总之，我们的结果表明，嗅觉处理的第一阶段选择并编码对现实世界导航任务至关重要的气味信号的时间特征。
We and others have shown that during odor plume navigation, walking Drosophila melanogaster bias their motion upwind in response to both the frequency of their encounters with the odor (Demir et al., 2020) and the intermittency of the odor signal, which we define to be the fraction of time the signal is above a detection threshold (Alvarez-Salvado et al., 2018). Here, we combine and simplify previous mathematical models that recapitulated these data to investigate the benefits of sensing both of these temporal features and how these benefits depend on the spatiotemporal statistics of the odor plume. Through agent-based simulations, we find that navigators that only use frequency or intermittency perform well in some environments – achieving maximal performance when gains are near those inferred from experiment – but fail in others. Robust performance across diverse environments requires both temporal modalities. However, we also find a steep trade-off when using both sensors simultaneously, suggesting a strong benefit to modulating how much each sensor is weighted, rather than using both in a fixed combination across plumes. Finally, we show that the circuitry of the Drosophila olfactory periphery naturally enables simultaneous intermittency and frequency sensing, enhancing robust navigation through a diversity of odor environments. Together, our results suggest that the first stage of olfactory processing selects and encodes temporal features of odor signals critical to real-world navigation tasks.