A subscription to JoVE is required to view this content. Sign in or start your free trial.
Here, a system is reported for studying the collective behaviors of nematodes by culturing them in bulk using dog food agar medium. This system allows researchers to propagate large numbers of dauer worms and can be applied to Caenorhabditis elegans and other related species.
Animals exhibit dynamic collective behaviors, as observed in flocks of birds, schools of fish, and crowds of humans. The collective behaviors of animals have been investigated in the fields of both biology and physics. In the laboratory, researchers have used various model animals such as the fruit fly and zebrafish for approximately a century, but it has remained a major challenge to study large-scale complex collective behavior orchestrated by these genetically tractable model animals. This paper presents a protocol to create an experimental system of collective behaviors in Caenorhabditis elegans. The propagated worms climb on the lid of the Petri plate and show collective swarming behavior. The system also controls worm interactions and behaviors by changing the humidity and light stimulation. This system allows us to examine the mechanisms underlying collective behaviors by changing environmental conditions and examining the effects of individual-level locomotion on collective behaviors using mutants. Thus, the system is useful for future research in both physics and biology.
Both nonscientists and scientists are fascinated with animals' collective behaviors, as in flocks of birds and schools of fish. Collective behaviors have been analyzed in a broad range of fields, including physics, biology, mathematics, and robotics. In particular, active matter physics is a growing research field that focuses on systems composed of self-propelled elements, that is, dissipative systems, such as flocks of birds, schools of fish, biofilms of motile bacteria, cytoskeletons composed of active molecules, and groups of self-propelled colloids. The theory of active matter physics maintains that however complex the behaviors of individuals are, the collective motions of enormous numbers of living things are governed by a small number of simple rules. For example, the Vicsek model, a candidate for a unified description of the collective motion of self-propelled particles, predicts that short-range alignment interaction of moving objects is required to form a long-range ordered phase with eccentric fluctuation in 2D, as in herds of animals1. Top-down experimental approaches pertaining to the physics of active matter are developing rapidly. Previous experiments confirmed the formation of a long-range ordered phase in Escherichia coli2. Other recent works employed cells3,4, bacteria5, motile colloids6, or moving proteins7,8. Simple minimal models such as the Vicsek model successfully described these real phenomena. In contrast with these unicellular experimental systems, collective behaviors by animals are usually observed in the wild, as no one could hope to perform controlled experiments with 10,000 real birds or fish.
Biologists share the same interest as physicists: how individuals interact with each other and functionally behave as a group. One of the traditional research fields for analyzing individual behavior is neuroscience, in which the mechanisms underlying behavior have been examined at the neuronal and molecular levels. Many neuroscientific bottom-up approaches have been developed thus far. Top-down approaches in physics and bottom-up approaches in biology can be facilitated using model animals such as the fruit fly, the worm Caenorhabditis elegans, and the mouse9. However, there have been few findings on the large-scale collective behavior of these model animals in the laboratory10; it is still difficult to prepare genetically tractable model animals on a large scale in the laboratory. Therefore, in current research on collective behaviors in biology and physics, it has been difficult for scientists who usually do research in the laboratory to study animals' collective behaviors.
In this study, we established a method for the large-scale cultivation of nematodes to study their collective behaviors. This system allows us to change environmental conditions and examine the effect of individual-level locomotion on collective behaviors using mutants10. In active matter physics, the parameters of the mathematical model can be controlled in both experiments and simulations, which enables verification of that model for identifying unified descriptions. Genetics is used to understand the neural circuit mechanism underlying collective behavior11.
1. Preparation of worms
NOTE: Prepare the wild-type N2 Bristol strain12 and ZX899 strain (lite-1(ce314); ljIs123[mec-4p::ChR2, unc-122p::RFP])13 for the observation of collective behaviors and optogenetic experiments, respectively. Maintain the ZX899 strain under dark conditions.
2. Preparation of dog food agar (DFA) medium plates
3. Inoculation of worms to DFA medium plates
4. Observation of collective behavior
5. Optogenetic experiment
Here, wild-type dauer worms were used for collective behavior observations. Worms were cultivated at 23 °C for approximately 10-14 days and climbed up to the inner surface of the lid of a DFA medium plate. On the experimental day, only the lid was transferred to a new NGM plate without E. coli and DFA medium. The bottom of this Petri plate was initially kept at 23 °C using the Peltier system, and then its temperature was increased to 26 °C. A movie was taken under the microscope.
In this study, we show a protocol for preparing a system for the large-scale collective behavior of C. elegans in the laboratory. The DFA-based method was originally established with Caenorhabditis japonica14 and Neoaplectana carpocapsae Weiser15, both of which are non-model animals. However, this method was not applied to investigate collective behaviors. The C. elegans is a genetically tractable model animal11
The authors have no conflicts of interest to declare.
We thank the Caenorhabditis Genetics Center for providing the strains used in this study. This publication was supported by JSPS KAKENHI Grant-in-Aid for Scientific Research (B) (grant number JP21H02532), JSPS KAKENHI Grant-in-Aid on the Innovative Areas "Science of Soft Robot" project (grant number JP18H05474), JSPS KAKENHI Grant-in-Aid for Transformative Research Areas B (grant number JP23H03845), the PRIME from Japan Agency for Medical Research and Development (grant number JP22gm6110022h9904), JST-Mirai Program (grant number JPMJMI22G3), and JST-FOREST Program (grant number JPMJFR214R).
Name | Company | Catalog Number | Comments |
Escherichia coli and C. elegans strains | |||
E. coli OP50 | Caenorhabditis Genetics Center | OP50 | Food for C. elegans. Uracil auxotroph. E. coli B. |
lite-1(ce314); ljIs123[mec-4p::ChR2, unc-122p::RFP] | author | ZX899 | lite-1(ce314) mutant carrying the genes expressing ChR2 and RFP under the control of the mec-4 and unc-122 promoter, respectively |
N2 Bristrol | Caenorhabditis Genetics Center | Wild-type C. elegans strain | |
For worm cultivation | |||
Agar purified, powder | Nakarai tesque | 01162-15 | For preparation of NGM plates |
All-trans retinal | Sigma-Aldrich | R2500 | For optogenetics |
Bacto pepton | Becton Dickinson | 211677 | For preparation of NGM plates |
Calcium chloride | Wako | 036-00485 | For preparation of NGM plates |
Cholesterol | Wako | 034-03002 | For preparation of NGM plates |
di-Photassium hydrogenphosphate | Nakarai tesque | 28727-95 | For preparation of NGM plates |
Dog food | Nihon Pet Food | VITA-ONE | For preparation of dog food agar medium |
LB broth, Lennox | Nakarai tesque | 20066-95 | For culture of E. coli OP50 |
Magnesium sulfate anhydrous | TGI | M1890 | For preparation of NGM plates |
Petri dishes (60 mm) | Nunc | 150270 | For preparation of NGM plates |
Potassium Dihydrogenphosphate | Nakarai tesque | 28720-65 | For preparation of NGM plates |
Sodium Chloride | Nakarai tesque | 31320-05 | For preparation of NGM plates |
Observation | |||
Computer | CT solution | CS6229 | Windows10 Pro with Intel Xeon Gold 6238R CPU and 768 GB of RAM |
CMOS Camera | Hamamatsu photonics | ORCA-Lightning C14120-20P | For data acquisition |
CMOS Camera | Olympus | DP74 | For data acquisition |
Microscope with SZX-MGFP set | Olympus | MVX10 | For data acquisition |
x2 Objective lens | Olympus | MV PLAPO 2XC | Working distance 20 mm and numerical aperture 0.5 |
Shutter control | |||
Shutter | OptoSigma | BSH2-RIX | For controlling temporal pattern of light illumination |
Shutter controller | OptoSigma | SSH-C2B-A | For controlling temporal pattern of light illumination |
Temperature control | |||
Peltier temperature controller unit | VICS | WLVPU-30 | For controlling humidity inside a Petri plate |
UNI-THEMO CONTROLLER | Ampere | UTC-100 | For controlling humidity inside a Petri plate |
Data acquisition software | |||
HCImage | Hamamatsu photonics | For data acquisition |
Request permission to reuse the text or figures of this JoVE article
Request PermissionThis article has been published
Video Coming Soon
Copyright © 2025 MyJoVE Corporation. All rights reserved