Behaviour and Ecology Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Kolkata, Mohanpur, West Bengal 741246, India.
Behaviour and Ecology Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Kolkata, Mohanpur, West Bengal 741246, India
J Exp Biol. 2019 Nov 15;222(Pt 22):jeb206490. doi: 10.1242/jeb.206490.
The phenomenon of minimizing the path length to a target site in order to increase transport efficiency is described as path optimization, and it has been observed in many mammals, birds and some invertebrates such as honeybees and ants. It has been demonstrated that ants can optimize their foraging path through an emergent process, involving the trail pheromone concentration, without individual ants having to measure and compare distances. In the current study, we investigated whether ants that use only tandem running to recruit their nestmates can minimize their path while relocating their entire colony into a new nest. As colony relocation directly impacts the survival of the whole colony, it would be particularly important to optimize their path to the new nest. Using the ponerine ant , we conducted relocation experiments, in which ants had to choose between different defined paths, and contrasted our findings with open arena experiments, as they navigated to their new nest. After following 4100 unique transports by 450 different transporters, we found that these ants do minimize their path. Individual leaders, as well as colonies, chose the shorter path significantly more than the longer path, and they showed a significant preference for the shorter arm at multiple decision points on encountering a combination of paths. Thus, we concluded that tandem leaders are capable of path minimization based on the information they themselves collect. Further investigation into the proximate mechanisms by which they achieve this is required.
为了提高运输效率而将路径长度最小化到目标位置的现象被描述为路径优化,这种现象在许多哺乳动物、鸟类和一些无脊椎动物中都有观察到,如蜜蜂和蚂蚁。已经证明,蚂蚁可以通过一种涌现的过程来优化它们的觅食路径,涉及到踪迹信息素的浓度,而不需要单个蚂蚁去测量和比较距离。在本研究中,我们调查了只使用串联跑步来招募同伴的蚂蚁是否可以在将整个蚁群迁移到新巢的过程中最小化它们的路径。由于蚁群的迁移直接影响整个蚁群的生存,因此优化它们到新巢的路径将是特别重要的。使用兵蚁属蚂蚁进行了迁移实验,蚂蚁必须在不同的定义路径之间做出选择,并将我们的发现与它们导航到新巢的开放竞技场实验进行了对比。在 450 个不同的搬运者搬运了 4100 次独特的运输后,我们发现这些蚂蚁确实会最小化它们的路径。个体的领导者,以及蚁群,都显著地更多地选择了较短的路径,而不是较长的路径,并且在遇到路径组合的多个决策点时,它们对较短的路径表现出显著的偏好。因此,我们得出结论,串联领导者能够根据它们自己收集的信息来最小化路径。需要进一步调查它们实现这一目标的接近机制。