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Humans and animals alike use the sun, the moon, and the stars to guide their ways.
However, the position of celestial cues changes depending on daytime, season, and
place on earth. To use these celestial cues for reliable navigation, the rotation of the
sky has to be compensated. While humans invented complicated mechanisms like the
Antikythera mechanism to keep track of celestial movements, animals can only rely on
their brains. The desert ant Cataglyphis is a prime example of an animal using celestial
cues for navigation. Using the sun and the related skylight polarization pattern as a
compass, and a step integrator for distance measurements, it can determine a vector
always pointing homewards. This mechanism is called path integration. Since the sun’s
position and, therefore, also the polarization pattern changes throughout the day,
Cataglyphis have to correct this movement. If they did not compensate for time, the
ants’ compass would direct them in different directions in the morning and the evening.
Thus, the ants have to learn the solar ephemeris before their far-reaching foraging
trips.
To do so, Cataglyphis ants perform a well-structured learning-walk behavior during the
transition phase from indoor worker to outdoor forager. While walking in small loops
around the nest entrance, the ants repeatedly stop their forward movements to perform
turns. These can be small walked circles (voltes) or tight turns about the ants’ body
axes (pirouettes). During pirouettes, the ants gaze back to their nest entrance during
stopping phases. These look backs provide a behavioral read-out for the state of the
path integrator. The ants “tell” the observer where they think their nest is, by looking
back to it. Pirouettes are only performed by Cataglyphis ants inhabiting an environment
with a prominent visual panorama. This indicates, that pirouettes are performed to
learn the visual panorama. Voltes, on the other hand, might be used for calibrating the
celestial compass of the ants.
In my doctoral thesis, I employed a wide range of state-of-the-art techniques from
different disciplines in biology to gain a deeper understanding of how navigational
information is acquired, memorized, used, and calibrated during the transition phase
from interior worker to outdoor forager. I could show, that celestial orientation cues that
provide the main compass during foraging, do not guide the ants during the look-backbehavior
of initial learning walks. Instead Cataglyphis nodus relies on the earth’s
magnetic field as a compass during this early learning phase. While not guiding the
ants during their first walks outside of the nest, excluding the ants from perceiving the
natural polarization pattern of the skylight has significant consequences on learning-related
plasticity in the ants’ brain. Only if the ants are able to perform their learning-walk
behavior under a skylight polarization pattern that changes throughout the day,
plastic neuronal changes in high-order integration centers are induced. Especially the
mushroom bogy collar, a center for learning and memory, and the central complex, a
center for orientation and motor control, showed an increase in volume after learning
walks. This underlines the importance of learning walks for calibrating the celestial
compass. The magnetic compass might provide the necessary stable reference
system for the ants to calibrate their celestial compass and learn the position of
landmark information. In the ant brain, visual information from the polarization-sensitive
ocelli converge in tight apposition with neuronal afferents of the mechanosensitive
Johnston’s organ in the ant’s antennae. This makes the ants’ antennae an interesting
candidate for studying the sensory bases of compass calibration in Cataglyphis ants.
The brain of the desert navigators is well adapted to successfully accomplish their
navigational needs. Females (gynes and workers) have voluminous mushroom bodies,
and the synaptic complexity to store large amount of view-based navigational
information, which they acquire during initial learning walks. The male Cataglyphis
brain is better suited for innate behaviors that support finding a mate.
The results of my thesis show that the well adapted brain of C. nodus ants undergoes
massive structural changes during leaning walks, dependent on a changing celestial
polarization pattern. This underlies the essential role of learning walks in the calibration
of orientation systems in desert ants.
An efficient foraging strategy is one of the most important traits for the fitness of animals. The theory of optimal foraging tries to predict foraging behaviour through the overarching question: how animals should forage so as to minimize costs while maximizing profits? Social insects, having occupied nearly every natural niche through widely different strategies, offer themselves as an ideal group to study how well optimal foraging theory can explain their behaviour and success.
Specialization often leads to unique adaptations in morphology and behaviour. I therefore decided to investigate the behaviour of Megaponera analis. This ponerine ant species is specialized on hunting only termites of the subfamily Macrotermitinae at their foraging sites. Their foraging behaviour is regulated by a handful of individual scouts (10-20) that search for termite foraging sites before returning to the nest to recruit a large number of nestmates (200-500 ants). These ants then follow the scout in a column formation to the termites and after the hunt return together to the nest, these raids occur two to five times per day.
Predators of highly defensive prey likely develop cost reducing adaptations. The evolutionary arms race between termites and ants led to various defensive mechanisms in termites, e.g. a caste specialized in fighting predators. As M. analis incurs high injury/mortality risks when preying on termites, some risk mitigating adaptations have evolved. I show that a unique rescue behaviour in M. analis, consisting of injured nestmates being carried back to the nest, reduces combat mortality. These injured ants “call for help” with pheromones present in their mandibular gland reservoirs. A model accounting for this rescue behaviour identifies the drivers favouring its evolution and estimates that rescuing allows for maintaining a 29% larger colony size. Heavily injured ants that lost too many legs during the fight on the other hand are not helped. Interestingly, this was regulated not by the helper but by the uncooperativeness of the injured ant. I further observed treatment of the injury by nestmates inside the nest through intense allogrooming directly at the wound. Lack of treatment increased mortality from 10% to 80% within 24 hours, with the cause of death most likely being infections.
Collective decision-making is one of the main mechanisms in social insects through which foraging is regulated. However, individual decision-making can also play an important role, depending on the type of foraging behaviour. In M. analis only a handful of individuals (the scouts) hold all the valuable information about foraging sites. I therefore looked at predictions made by optimal foraging theory to better understand the interplay between collective and individual decision-making in this obligate group-raiding predator. I found a clear positive relation between raid size and termite abundance at the foraging site. Furthermore, selectivity of the food source increased with distance. The confirmation of optimal foraging theory suggests that individual scouts must be the main driver behind raid size, choice and raiding behaviour. Therefore most central place foraging behaviours in M. analis were not achieved by collective decisions but rather by individual decisions of scout ants. Thus, 1% of the colony (10–20 scouts) decided the fate and foraging efficiency of the remaining 99%.
Division of labour is one of the main reasons for the success of social insects. Worker polymorphism, age polyethism and work division in more primitive ants, like the ponerines, remain mostly unexplored though. Since M. analis specializes on a defensive prey, adaptations to reduce their foraging costs can be expected. I found that the work division, task allocation and column-formation during the hunt were much more sophisticated than was previously thought. The column-formation was remarkably stable, with the same ants resuming similar positions in subsequent raids and front ants even returning to their positions if displaced in the same raid. Most of the raid tasks were not executed by predetermined members of the raid but were filled out as need arose during the hunt, with a clear preference for larger ants to conduct most tasks.
I show that specialization towards a highly defensive prey can lead to very unique adaptations in the foraging behaviour of a species. I explored experimentally the adaptive value of rescue behaviour focused on injured nestmates in social insects. This was not only limited to selective rescuing of lightly injured individuals by carrying them back (thus reducing predation risk) but moreover includes a differentiated treatment inside the nest. These observations will help to improve our understanding of the evolution of rescue behaviour in animals. I further show that most optimal foraging predictions are fulfilled and regulated by a handful of individuals in M. analis. Lastly, I propose that the continuous allometric size polymorphism in M. analis allows for greater flexibility in task allocation, necessary due to the unpredictability of task requirements in an irregular system such as hunting termites in groups. All of my observations help to further understand how a group-hunting predator should forage so as to minimize costs while maximizing profits.