Laboratory of Social Evolution and Behavior, The Rockefeller University, New York, NY 10065.
Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065.
Proc Natl Acad Sci U S A. 2022 Jun 7;119(23):e2123076119. doi: 10.1073/pnas.2123076119. Epub 2022 Jun 2.
SignificanceIn this study, we ask how ant colonies integrate information about the external environment with internal state parameters to produce adaptive, system-level responses. First, we show that colonies collectively evacuate the nest when the ground temperature becomes too warm. The threshold temperature for this response is a function of colony size, with larger colonies evacuating the nest at higher temperatures. The underlying dynamics can thus be interpreted as a decision-making process that takes both temperature (external environment) and colony size (internal state) into account. Using mathematical modeling, we show that these dynamics can emerge from a balance between local excitatory and global inhibitory forces acting between the ants. Our findings in ants parallel other complex biological systems like neural circuits.
在这项研究中,我们探讨了蚁群如何将外部环境信息与内部状态参数相结合,从而产生适应性的系统级响应。首先,我们发现当地表温度过高时,蚁群会集体撤离巢穴。这种反应的阈值温度是蚁群大小的函数,较大的蚁群在较高的温度下撤离巢穴。因此,这种动态可以被解释为一个决策过程,它同时考虑了温度(外部环境)和蚁群大小(内部状态)这两个因素。通过数学建模,我们表明,这些动态可以源自于蚂蚁之间局部兴奋和全局抑制力之间的平衡。我们在蚂蚁身上的发现与其他复杂的生物系统(如神经回路)相似。