Shared behavioral mechanisms underlie C. elegans aggregation and swarming

Shared behavioral mechanisms underlie C. elegans aggregation and swarming
复制标题

DOI:
10.7554/elife.43318
复制
发表时间:
2019-04-25
期刊:
影响因子:
7.7
通讯作者:
Brown, Andre E. X.
Brown, Andre E. X.
中科院分区:
生物学1区
文献类型:
--
作者:
Ding, Siyu Serena;Schumacher, Linus J.;Brown, Andre E. X.

文献摘要

被引文献

相似文献

在复杂的生物系统中,简单的个体层面的行为规则可以引发群体层面的行为。虽然集体行为在细胞和更大的生物体中已经得到了很好的研究,但中观尺度的理解较少,因为不清楚哪些感官输入和物理过程是先验的。在这里,我们研究了蛔虫C的集体进食。elegans在这个中间规模,使用定量表型和基于代理的建模,以确定行为规则的基础上聚集和swarming动态表型,只有在较长的时间尺度观察。使用荧光多蠕虫跟踪,我们量化聚合的个人动态和人口水平的统计。然后,我们使用基于代理的模拟和近似贝叶斯推理,以确定三个关键的行为规则聚合:集群边缘反转,爬行速度之间的密度依赖的开关,和的士对邻近的蠕虫。我们的模拟表明,群集只是由当地的食物耗尽,但在其他方面采用相同的行为机制作为初始聚集。
In complex biological systems, simple individual-level behavioral rules can give rise to emergent group-level behavior. While collective behavior has been well studied in cells and larger organisms, the mesoscopic scale is less understood, as it is unclear which sensory inputs and physical processes matter a priori. Here, we investigate collective feeding in the roundworm C. elegans at this intermediate scale, using quantitative phenotyping and agent-based modeling to identify behavioral rules underlying both aggregation and swarming-a dynamic phenotype only observed at longer timescales. Using fluorescence multi-worm tracking, we quantify aggregation in terms of individual dynamics and population-level statistics. Then we use agent-based simulations and approximate Bayesian inference to identify three key behavioral rules for aggregation: cluster-edge reversals, a density-dependent switch between crawling speeds, and taxis towards neighboring worms. Our simulations suggest that swarming is simply driven by local food depletion but otherwise employs the same behavioral mechanisms as the initial aggregation.