Dangles Olivier, Magal Christelle, Pierre Dominique, Olivier Aurélie, Casas Jérôme
Université de Tours, IRBI UMR CNRS 6035, Parc Grandmont, 37200 Tours, France.
J Exp Biol. 2005 Feb;208(Pt 3):461-8. doi: 10.1242/jeb.01369.
Even though variation in morphology is known to translate into variation in performance, studies looking at structural variability of a sensor to predict its consequences on the performance of animals are exceedingly rare. We investigated the morphological variability of air-flow-sensing receptors in wild populations of wood crickets (Nemobius sylvestris) sampled in a wide variety of habitats differing in latitude, litter structure, vegetation and predator communities. These hair receptors act as predator sensors. The observed levels of hair morphological variation were then incorporated into a biomechanical model of the hair canopy response to air flow to predict their influence on cricket predator perception. Cricket populations differ from each other, often strongly so, in the total number of hairs and in the number of hairs longer than 1 mm, which are the hairs most sensitive for the perception of approaching predators. The hair canopy response, the output of the biomechanical model, sums up over the entire canopy the angles of deflection at which a neurophysiological response is triggered and represents the sensitivity of the cercal system. It is 35% higher in the most sensitive population, compared with the least sensitive population. These large differences in perception sensitivity for a given predator signal translate into larger distances at which predators could be perceived. Thus, differences in morphology at the sensor level seem to be translated both at the perception level and subsequently at the performance level of crickets.
尽管已知形态上的差异会转化为性能上的差异,但研究传感器的结构变异性以预测其对动物性能影响的研究却极为罕见。我们调查了在各种栖息地(纬度、枯枝落叶结构、植被和捕食者群落不同)采样的野生木蟋蟀(Nemobius sylvestris)种群中气流感应受体的形态变异性。这些毛状感受器充当捕食者传感器。然后将观察到的毛形态变异水平纳入毛冠层对气流反应的生物力学模型中,以预测它们对蟋蟀捕食者感知的影响。蟋蟀种群在毛发总数以及长度超过1毫米的毛发数量上彼此不同,而且差异往往很大,而这些较长的毛发对感知接近的捕食者最为敏感。生物力学模型的输出——毛冠层反应,汇总了整个冠层引发神经生理反应的偏转角度,并代表了尾须系统的敏感性。与最不敏感的种群相比,最敏感的种群的毛冠层反应要高35%。对于给定的捕食者信号,这种感知敏感性的巨大差异意味着能在更远的距离感知到捕食者。因此,传感器水平上的形态差异似乎在感知水平以及随后的蟋蟀性能水平上都得到了体现。