Multimodal influences on learning walks in desert ants (Cataglyphis fortis)

Ants are excellent navigators using multimodal information for navigation. To accurately localise the nest at the end of a foraging journey, visual cues, wind direction and also olfactory cues need to be learnt. Learning walks are performed at the start of an ant’s foraging career or when the appearance of the nest surrounding has changed. We investigated here whether the structure of such learning walks in the desert ant Cataglyphis fortis takes into account wind direction in conjunction with the learning of new visual information. Ants learnt to travel back and forth between their nest and a feeder, and we then introduced a black cylinder near their nest to induce learning walks in regular foragers. By doing this across days with different wind directions, we were able to probe how ants balance different sensory modalities. We found that (1) the ants’ outwards headings are influenced by the wind direction with their routes deflected such that they will arrive downwind of their target, (2) a novel object along the route induces learning walks in experienced ants and (3) the structure of learning walks is shaped by the wind direction rather than the position of the visual cue

No Need for a Cognitive Map: Decentralized Memory for Insect Navigation

In many animals the ability to navigate over long distances is an important prerequisite for foraging. For example, it is widely accepted that desert ants and honey bees, but also mammals, use path integration for finding the way back to their home site. It is however a matter of a long standing debate whether animals in addition are able to acquire and use so called cognitive maps. Such a ‘map’, a global spatial representation of the foraging area, is generally assumed to allow the animal to find shortcuts between two sites although the direct connection has never been travelled before. Using the artificial neural network approach, here we develop an artificial memory system which is based on path integration and various landmark guidance mechanisms (a bank of individual and independent landmark-defined memory elements). Activation of the individual memory elements depends on a separate motivation network and an, in part, asymmetrical lateral inhibition network. The information concerning the absolute position of the agent is present, but resides in a separate memory that can only be used by the path integration subsystem to control the behaviour, but cannot be used for computational purposes with other memory elements of the system. Thus, in this simulation there is no neural basis of a cognitive map. Nevertheless, an agent controlled by this network is able to accomplish various navigational tasks known from ants and bees and often discussed as being dependent on a cognitive map. For example, map-like behaviour as observed in honey bees arises as an emergent property from a decentralized system. This behaviour thus can be explained without referring to the assumption that a cognitive map, a coherent representation of foraging space, must exist. We hypothesize that the proposed network essentially resides in the mushroom bodies of the insect brain

Using an insect mushroom body circuit to encode route memory in complex natural environments

Ants, like many other animals, use visual memory to follow extended routes through complex environments, but it is unknown how their small brains implement this capability. The mushroom body neuropils have been identified as a crucial memory circuit in the insect brain, but their function has mostly been explored for simple olfactory association tasks. We show that a spiking neural model of this circuit originally developed to describe fruitfly (Drosophila melanogaster) olfactory association, can also account for the ability of desert ants (Cataglyphis velox) to rapidly learn visual routes through complex natural environments. We further demonstrate that abstracting the key computational principles of this circuit, which include one-shot learning of sparse codes, enables the theoretical storage capacity of the ant mushroom body to be estimated at hundreds of independent images

Inhalation of rod-like carbon nanotubes causes unconventional allergic airway inflammation

Peer reviewe

Effect of process parameters on 3-hydroxypropionic acid production from glycerol using a recombinant Escherichia coli

The top-valued platform chemical, 3-hydroxypropionic acid (3-HP), has a wide range of industrial applications but its biological production is not well established. Previously, the production of 3-HP from glycerol was demonstrated using a recombinant Escherichia coli strain expressing glycerol dehydratase (dhaB) and aldehyde dehydrogenase (aldH). The present investigation focuses on the effect of the culture conditions on the production of 3-HP from glycerol. The physicochemical parameters, such as pH, IPTG concentration, liquid-to-flask volume ratio, and substrate concentration, were examined in flask-scale experiments and obtained the highest titer of 3-HP at 4.4 g l(-1) in 48 h. When a fed-batch process was carried out in a bioreactor under pH-regulated conditions, the recombinant E. coli produced 3-HP at 31 g l(-1) in 72 h with a yield of 0.35 mol mol(-1) glycerol. The maximum specific rate of 3-HP production was estimated to be 3.41 mmol g(-1) cdw h(-1) between 12 and 24 h. Other than 3-HP, propionic acid (3.4 g l(-1)), 1,3-propanediol (2.4 g l(-1)), and lactic acid (1.6 g l(-1)) were produced as the major by-products. This paper reports for the first time a commercially meaningful high titer of 3-HP production